127 lines
3.2 MiB
Plaintext
127 lines
3.2 MiB
Plaintext
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No API keys required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/deep-research-pro/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/deep-research-pro","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/deep-research-pro","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/deep-research-pro/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"diagram-maker","name":"diagram-maker","description":"Create SVG/HTML or Excalidraw diagrams for concepts, architecture, flows, and whiteboards.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"dingtalk-channel-rules","name":"dingtalk-channel-rules","description":"钉钉会话输出规则。在钉钉会话中始终生效。","filePath":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-channel-rules/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-channel-rules","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-channel-rules","origin":"top-level","path":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-channel-rules/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"dingtalk-troubleshoot","name":"dingtalk-troubleshoot","description":"钉钉连接器问题排查。包含 dws CLI 常见错误处理、授权问题排查和连接故障诊断。\n当 dws 命令执行失败、授权异常、连接中断时自动激活。","filePath":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-troubleshoot/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-troubleshoot","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-troubleshoot","origin":"top-level","path":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-troubleshoot/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"docker-essentials","name":"docker-essentials","description":"Essential Docker commands and workflows for container management, image operations, and debugging.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/docker-essentials/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/docker-essentials","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/docker-essentials","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/docker-essentials/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"dws","name":"dws","description":"管理钉钉产品能力(AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/开放平台文档/钉钉文档/钉钉云盘/AI听记/邮箱/在线电子表格/知识库等)。当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报（钉钉日志模版）、读写钉钉文档、上传下载云盘文件、查询听记纪要、收发邮件、读写在线电子表格(axls)、管理钉钉知识库时使用。","filePath":"$OPENCLAW_STATE_DIR/skills/dws/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/skills/dws","source":"openclaw-managed","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/skills/dws","origin":"top-level","path":"$OPENCLAW_STATE_DIR/skills/dws/SKILL.md","scope":"project","source":"openclaw-managed"},"disableModelInvocation":false,"available":true},{"id":"dws-cli","name":"dws-cli","description":"在钉钉会话中通过 dws CLI 管理钉钉产品能力（AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/工作台等）。\n当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报时使用。","filePath":"$OPENCLAW_STATE_DIR/plugin-skills/dws-cli/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dws-cli","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dws-cli","origin":"top-level","path":"$OPENCLAW_STATE_DIR/plugin-skills/dws-cli/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"healthcheck","name":"healthcheck","description":"Audit/harden OpenClaw hosts: SSH, firewall, updates, exposure, backups, disk encryption, gateway security.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"humanizer","name":"humanizer","description":"Remove signs of AI-generated writing from text. Use when editing or reviewing\ntext to make it sound more natural and human-written. Based on Wikipedia's\ncomprehensive \"Signs of AI writing\" guide. Detects and fixes patterns including:\ninflated symbolism, promotional language, superficial -ing analyses, vague\nattributions, em dash overuse, rule of three, AI vocabulary words, negative\nparallelisms, and excessive conjunctive phrases.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"imap-smtp-email","name":"imap-smtp-email","description":"Read and send email via IMAP/SMTP. Check for new/unread messages, fetch content, search mailboxes, mark as read/unread, and send emails with attachments. Supports multiple accounts. Works with any IMAP/SMTP server including Gmail, Outlook, 163.com, vip.163.com, 126.com, vip.126.com, 188.com, and vip.188.com.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"meme-maker","name":"meme-maker","description":"Search meme templates, suggest formats, and generate local or hosted image memes.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"multi-search-engine","name":"multi-search-engine","description":"Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"MySQL","name":"MySQL","description":"Write correct MySQL queries with proper character sets, indexing, transactions, and production patterns.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"news-summary","name":"news-summary","description":"This skill should be used when the user asks for news updates, daily briefings, or what's happening in the world. Fetches news from trusted international RSS feeds and can create voice summaries.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"node-connect","name":"node-connect","description":"Diagnose OpenClaw Android, iOS, or macOS node pairing, QR/setup code, route, auth, and connection failures.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"node-inspect-debugger","name":"node-inspect-debugger","description":"Debug Node.js with node inspect, --inspect, breakpoints, CDP, heap, and CPU profiles.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"obsidian-official-cli","name":"obsidian-official-cli","description":"Work with Obsidian vaults using the official Obsidian CLI (v1.12+). Open, search, create, move, and manage notes from the terminal. Use when working with Obsidian vaults for note management, file operations, searching content, managing tasks, properties, links, plugins, themes, sync operations, or any command-line interaction with Obsidian.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"opencode-controller","name":"opencode-controller","description":"Control and operate Opencode via slash commands. Use this skill to manage sessions, select models, switch agents (plan/build), and coordinate coding through Opencode.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"openspec","name":"openspec","description":"Spec-driven development with OpenSpec CLI. Use when building features, migrations, refactors, or any structured development work. Manages proposal → specs → design → tasks → implementation workflows. Supports custom schemas (TDD, rapid, etc.). Trigger on requests involving feature planning, spec writing, change management, or when /opsx commands are mentioned.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/openspec/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/openspec","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/openspec","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/openspec/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"python-debugpy","name":"python-debugpy","description":"Debug Python with pdb, breakpoint(), post-mortem inspection, and debugpy remote attach.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"qiushi-openclaw-skills","name":"qiushi-openclaw-skills","description":"求是 OpenClaw Skills 是基于毛泽东思想方法论的 AI Agent 技能集合，按照 OpenClaw 技能格式进行改造，旨在为 AI 提供系统化的思考和行动框架。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"requirements-analyst","name":"requirements-analyst","description":"将产品需求转化为前后端可执行的技术规范，输出离线性优先的结构化文档。当用户提出产品需求、PRD、功能描述或模糊想法时自动触发。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"rss-ai-reader","name":"rss-ai-reader","description":"📰 RSS AI 阅读器 — 自动抓取订阅、LLM生成摘要、多渠道推送！\n支持 Claude/OpenAI 生成中文摘要，推送到飞书/Telegram/Email。\n触发条件: 用户要求订阅RSS、监控博客、抓取新闻、生成摘要、设置定时抓取、\n\"帮我订阅\"、\"监控这个网站\"、\"每天推送新闻\"、RSS/Atom feed 相关。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"skill-creator","name":"skill-creator","description":"Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"spike","name":"spike","description":"Run throwaway prototypes to validate feasibility, compare approaches, and report a verdict.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"Spreadsheet & Data Wrangling Master","name":"Spreadsheet & Data Wrangling Master","description":"Complete spreadsheet methodology — data cleanup, transformation, analysis, dashboards, automation, and reporting. Works with CSV, Excel, Google Sheets, or any tabular data. Use when the user needs to clean messy data, build reports, create dashboards, automate recurring spreadsheet tasks, or transform data between formats.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"sql-toolkit","name":"sql-toolkit","description":"Query, design, migrate, and optimize SQL databases. Use when working with SQLite, PostgreSQL, or MySQL — schema design, writing queries, creating migrations, indexing, backup/restore, and debugging slow queries. No ORMs required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"taskflow","name":"taskflow","description":"Coordinate multi-step detached tasks as one durable TaskFlow job with owner context, state, waits, and child tasks.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"taskflow-inbox-triage","name":"taskflow-inbox-triage","description":"Example TaskFlow pattern for inbox triage, intent routing, waiting on replies, and later summaries.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"using-superpowers","name":"using-superpowers","description":"Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"weather","name":"weather","description":"Get current weather and forecasts (no API key required).","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/weather/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/weather","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/weather","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/weather/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"web-search","name":"web-search","description":"This skill should be used when users need to search the web for information, find current content, look up news articles, search for images, or find videos. It uses a self-hosted SearXNG instance to return results in clean, formatted output (text, markdown, or JSON). Use for research, fact-checking, finding recent information, or gathering web resources.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/web-search/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/web-search","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/web-search","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/web-search/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true}]},"prompting":{"skillsPrompt":"\n\nThe following skills provide specialized instructions for specific tasks.\nUse the read tool to load a skill's file when the task matches its description.\nIf a skill's <version> differs from a previous turn, re-read its SKILL.md before using it.\nWhen a skill file references a relative path, resolve it against the skill directory (parent of SKILL.md / dirname of the path) and use that absolute path in tool commands.\n\n<available_skills>\n <skill>\n <name>agent-browser</name>\n <description>Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection</description>\n <location>~/.openclaw/workspace/skills/agent-browser-clawdbot/SKILL.md</location>\n <version>sha256:9643b9c65476eedd</version>\n </skill>\n <skill>\n <name>chinese-calendar</name>\n <description>获取中国日历信息，包括节假日、调休安排、工作日判断。使用 timor.tech API，数据每年自动更新。Use when: 需要判断某天是否是工作日、查询节假日安排、了解调休情况。</description>\n <location>~/.openclaw/workspace/skills/chinese-calendar/SKILL.md</location>\n <version>sha256:40a9ba942647e641</version>\n </skill>\n <skill>\n <name>clawhub</name>\n <description>Search ClawHub for skills when a requested capability is not already available; install, verify, update, publish, or sync skills.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/clawhub/SKILL.md</location>\n <version>sha256:6bb70d95cbd1a545</version>\n </skill>\n <skill>\n <name>Code</name>\n <description>Coding workflow with planning, implementation, verification, and testing for clean software development.</description>\n <location>~/.openclaw/workspace/skills/openclaw-code/SKILL.md</location>\n <version>sha256:f09694134cc55cc0</version>\n </skill>\n <skill>\n <name>database-admin</name>\n <description>Comprehensive database administration, schema management, data operations, and optimization. Use when Codex needs to: (1) Create or modify database tables with proper indexing, (2) Perform bulk data insertions with type safety and constraint handling, (3) Execute complex queries with JOINs, aggregations, and subqueries, (4) Optimize query performance through indexing and execution plan analysis, (5) Manage database backups, restores, and migrations, (6) Handle special data types (BIGINT, UUID, JSONB, enums), (7) Implement transactional safety with ACID compliance, or (8) Debug and resolve database errors including constraint violations, type mismatches, and foreign key issues</description>\n <location>~/.openclaw/workspace/skills/database-admin/SKILL.md</location>\n <version>sha256:7649e43727f2fb8b</version>\n </skill>\n <skill>\n <name>database-schema-designer</name>\n <description>Database Schema Designer</description>\n <location>~/.openclaw/workspace/skills/database-schema-designer/SKILL.md</location>\n <version>sha256:3f2282ec8135dfdf</version>\n </skill>\n <skill>\n <name>db-query</name>\n <description>Query project databases with automatic SSH tunnel management. Use when you need to execute SQL queries against configured databases, especially those accessible only via SSH tunnels. Automatically manages SSH connection lifecycle (establishes tunnel before query, closes after). Supports multiple databases distinguished by description/name from config file.</description>\n <location>~/.openclaw/workspace/skills/db-query/SKILL.md</location>\n <version>sha256:eaffe1e617f2b8f2</version>\n </skill>\n <skill>\n <name>db-schema</name>\n <description>Generate database schemas, migrations, and ERD diagrams from plain English descriptions — supports PostgreSQL, MySQL, SQLite, and MongoDB with proper indexes and constraints.</description>\n <location>~/.openclaw/workspace/skills/db-schema-gen/SKILL.md</location>\n <version>sha256:c511ce8bb306f227</version>\n </skill>\n <skill>\n <name>deep-research-pro</name>\n <description>Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.</description>\n <location>~/.openclaw/workspace/skills/deep-research-pro/SKILL.md</location>\n <version>sha256:a780f8bbec442198</version>\n </skill>\n <skill>\n <name>diagram-maker</name>\n <description>Create SVG/HTML or Excalidraw diagrams for concepts, architecture, flows, and whiteboards.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker/SKILL.md</location>\n <version>sha256:6195e03fcb04a1a6</version>\n </skill>\n <skill>\n <name>dingtalk-channel-rules</name>\n <description>钉钉会话输出规则。在钉钉会话中始终生效。</description>\n <location>~/.openclaw/plugin-skills/dingtalk-channel-rules/SKILL.md</location>\n <version>sha256:4abd7ff39fd8ab23</version>\n </skill>\n <skill>\n <name>dingtalk-troubleshoot</name>\n <description>钉钉连接器问题排查。包含 dws CLI 常见错误处理、授权问题排查和连接故障诊断。\n当 dws 命令执行失败、授权异常、连接中断时自动激活。</description>\n <location>~/.openclaw/plugin-skills/dingtalk-troubleshoot/SKILL.md</location>\n <version>sha256:831e1260e77bcf9b</version>\n </skill>\n <skill>\n <name>docker-essentials</name>\n <description>Essential Docker commands and workflows for container management, image operations, and debugging.</description>\n <location>~/.openclaw/workspace/skills/docker-essentials/SKILL.md</location>\n <version>sha256:bf8120febd5275b0</version>\n </skill>\n <skill>\n <name>dws</name>\n <description>管理钉钉产品能力(AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/开放平台文档/钉钉文档/钉钉云盘/AI听记/邮箱/在线电子表格/知识库等)。当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报（钉钉日志模版）、读写钉钉文档、上传下载云盘文件、查询听记纪要、收发邮件、读写在线电子表格(axls)、管理钉钉知识库时使用。</description>\n <location>~/.openclaw/skills/dws/SKILL.md</location>\n <version>sha256:25f131a2e41eeeca</version>\n </skill>\n <skill>\n <name>dws-cli</name>\n <description>在钉钉会话中通过 dws CLI 管理钉钉产品能力（AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/工作台等）。\n当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报时使用。</description>\n <location>~/.openclaw/plugin-skills/dws-cli/SKILL.md</location>\n <version>sha256:e1e0cb89e56c9a8d</version>\n </skill>\n <skill>\n <name>healthcheck</name>\n <description>Audit/harden OpenClaw hosts: SSH, firewall, updates, exposure, backups, disk encryption, gateway security.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck/SKILL.md</location>\n <version>sha256:518ec6e0482cf1c7</version>\n </skill>\n <skill>\n <name>humanizer</name>\n <description>Remove signs of AI-generated writing from text. Use when editing or reviewing\ntext to make it sound more natural and human-written. Based on Wikipedia's\ncomprehensive "Signs of AI writing" guide. Detects and fixes patterns including:\ninflated symbolism, promotional language, superficial -ing analyses, vague\nattributions, em dash overuse, rule of three, AI vocabulary words, negative\nparallelisms, and excessive conjunctive phrases.</description>\n <location>~/.openclaw/workspace/skills/humanizer/SKILL.md</location>\n <version>sha256:d7ce483d368e4301</version>\n </skill>\n <skill>\n <name>imap-smtp-email</name>\n <description>Read and send email via IMAP/SMTP. Check for new/unread messages, fetch content, search mailboxes, mark as read/unread, and send emails with attachments. Supports multiple accounts. Works with any IMAP/SMTP server including Gmail, Outlook, 163.com, vip.163.com, 126.com, vip.126.com, 188.com, and vip.188.com.</description>\n <location>~/.openclaw/workspace/skills/imap-smtp-email/SKILL.md</location>\n <version>sha256:01345a894f2863a4</version>\n </skill>\n <skill>\n <name>meme-maker</name>\n <description>Search meme templates, suggest formats, and generate local or hosted image memes.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md</location>\n <version>sha256:8b8832f9f0f58b16</version>\n </skill>\n <skill>\n <name>multi-search-engine</name>\n <description>Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required.</description>\n <location>~/.openclaw/workspace/skills/multi-search-engine/SKILL.md</location>\n <version>sha256:ef2d2706e82ad0fc</version>\n </skill>\n <skill>\n <name>MySQL</name>\n <description>Write correct MySQL queries with proper character sets, indexing, transactions, and production patterns.</description>\n <location>~/.openclaw/workspace/skills/MySQL/SKILL.md</location>\n <version>sha256:97003e1d9502f459</version>\n </skill>\n <skill>\n <name>news-summary</name>\n <description>This skill should be used when the user asks for news updates, daily briefings, or what's happening in the world. Fetches news from trusted international RSS feeds and can create voice summaries.</description>\n <location>~/.openclaw/workspace/skills/news-summary/SKILL.md</location>\n <version>sha256:1b4c45b56f567567</version>\n </skill>\n <skill>\n <name>node-connect</name>\n <description>Diagnose OpenClaw Android, iOS, or macOS node pairing, QR/setup code, route, auth, and connection failures.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md</location>\n <version>sha256:cc39026fd84e5cfa</version>\n </skill>\n <skill>\n <name>node-inspect-debugger</name>\n <description>Debug Node.js with node inspect, --inspect, breakpoints, CDP, heap, and CPU profiles.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md</location>\n <version>sha256:50d2f6828eaf4bbf</version>\n </skill>\n <skill>\n <name>obsidian-official-cli</name>\n <description>Work with Obsidian vaults using the official Obsidian CLI (v1.12+). Open, search, create, move, and manage notes from the terminal. Use when working with Obsidian vaults for note management, file operations, searching content, managing tasks, properties, links, plugins, themes, sync operations, or any command-line interaction with Obsidian.</description>\n <location>~/.openclaw/workspace/skills/obsidian-official-cli/SKILL.md</location>\n <version>sha256:d9c66873957818a1</version>\n </skill>\n <skill>\n <name>opencode-controller</name>\n <description>Control and operate Opencode via slash commands. Use this skill to manage sessions, select models, switch agents (plan/build), and coordinate coding through Opencode.</description>\n <location>~/.openclaw/workspace/skills/opencode-controller/SKILL.md</location>\n <version>sha256:6535df08ba8b0bbc</version>\n </skill>\n <skill>\n <name>openspec</name>\n <description>Spec-driven development with OpenSpec CLI. Use when building features, migrations, refactors, or any structured development work. Manages proposal → specs → design → tasks → implementation workflows. Supports custom schemas (TDD, rapid, etc.). Trigger on requests involving feature planning, spec writing, change management, or when /opsx commands are mentioned.</description>\n <location>~/.openclaw/workspace/skills/openspec/SKILL.md</location>\n <version>sha256:720f832d1879e281</version>\n </skill>\n <skill>\n <name>python-debugpy</name>\n <description>Debug Python with pdb, breakpoint(), post-mortem inspection, and debugpy remote attach.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md</location>\n <version>sha256:bfb1891204b67260</version>\n </skill>\n <skill>\n <name>qiushi-openclaw-skills</name>\n <description>求是 OpenClaw Skills 是基于毛泽东思想方法论的 AI Agent 技能集合，按照 OpenClaw 技能格式进行改造，旨在为 AI 提供系统化的思考和行动框架。</description>\n <location>~/.openclaw/workspace/skills/qiushi-openclaw-skill/SKILL.md</location>\n <version>sha256:b21d933b7f61584d</version>\n </skill>\n <skill>\n <name>requirements-analyst</name>\n <description>将产品需求转化为前后端可执行的技术规范，输出离线性优先的结构化文档。当用户提出产品需求、PRD、功能描述或模糊想法时自动触发。</description>\n <location>~/.openclaw/workspace/skills/requirements-analyst/SKILL.md</location>\n <version>sha256:f766e6b7b585e7e8</version>\n </skill>\n <skill>\n <name>rss-ai-reader</name>\n <description>📰 RSS AI 阅读器 — 自动抓取订阅、LLM生成摘要、多渠道推送！\n支持 Claude/OpenAI 生成中文摘要，推送到飞书/Telegram/Email。\n触发条件: 用户要求订阅RSS、监控博客、抓取新闻、生成摘要、设置定时抓取、\n"帮我订阅"、"监控这个网站"、"每天推送新闻"、RSS/Atom feed 相关。</description>\n <location>~/.openclaw/workspace/skills/rss-ai-reader/SKILL.md</location>\n <version>sha256:0abcc8438f644cdb</version>\n </skill>\n <skill>\n <name>skill-creator</name>\n <description>Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md</location>\n <version>sha256:d15b25d332d835eb</version>\n </skill>\n <skill>\n <name>spike</name>\n <description>Run throwaway prototypes to validate feasibility, compare approaches, and report a verdict.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md</location>\n <version>sha256:1258cde2d0e53267</version>\n </skill>\n <skill>\n <name>Spreadsheet & Data Wrangling Master</name>\n <description>Complete spreadsheet methodology — data cleanup, transformation, analysis, dashboards, automation, and reporting. Works with CSV, Excel, Google Sheets, or any tabular data. Use when the user needs to clean messy data, build reports, create dashboards, automate recurring spreadsheet tasks, or transform data between formats.</description>\n <location>~/.openclaw/workspace/skills/afrexai-spreadsheet-master/SKILL.md</location>\n <version>sha256:6505a92ae50c1cdd</version>\n </skill>\n <skill>\n <name>sql-toolkit</name>\n <description>Query, design, migrate, and optimize SQL databases. Use when working with SQLite, PostgreSQL, or MySQL — schema design, writing queries, creating migrations, indexing, backup/restore, and debugging slow queries. No ORMs required.</description>\n <location>~/.openclaw/workspace/skills/sql-toolkit/SKILL.md</location>\n <version>sha256:515ecf904449a3cd</version>\n </skill>\n <skill>\n <name>taskflow</name>\n <description>Coordinate multi-step detached tasks as one durable TaskFlow job with owner context, state, waits, and child tasks.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md</location>\n <version>sha256:d8b6a48d329aef0a</version>\n </skill>\n <skill>\n <name>taskflow-inbox-triage</name>\n <description>Example TaskFlow pattern for inbox triage, intent routing, waiting on replies, and later summaries.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md</location>\n <version>sha256:1fe28cd924d8ae2d</version>\n </skill>\n <skill>\n <name>using-superpowers</name>\n <description>Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions</description>\n <location>~/.openclaw/workspace/skills/using-superpowers/SKILL.md</location>\n <version>sha256:81d921b16502091f</version>\n </skill>\n <skill>\n <name>weather</name>\n <description>Get current weather and forecasts (no API key required).</description>\n <location>~/.openclaw/workspace/skills/weather/SKILL.md</location>\n <version>sha256:1ca0c8d768ad603e</version>\n </skill>\n <skill>\n <name>web-search</name>\n <description>This skill should be used when users need to search the web for information, find current content, look up news articles, search for images, or find videos. 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{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","source":"runtime","type":"context.compiled","ts":"2026-07-15T09:42:16.061Z","seq":3,"sourceSeq":3,"sessionId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","sessionKey":"agent:main:dashboard:2fdf88e4-fa3f-46c2-b547-384e2c048b11","runId":"badca995-9689-4381-ab54-d25b7ae35868","workspaceDir":"/home/yangxuan/.openclaw/workspace","provider":"deepseek","modelId":"deepseek-v4-flash","modelApi":"openai-completions","data":{"systemPrompt":{"truncated":true,"reason":"trajectory-field-size-limit","originalChars":39560,"limitChars":32768},"prompt":"你有修改mysql8 sql脚本的能力吗？","messages":[],"tools":[{"name":"agents_list","description":"List agent ids allowed for `sessions_spawn runtime=\"subagent\"`.","parameters":{"type":"object","properties":{}}},{"name":"apply_patch","description":"Apply a patch to one or more files using the apply_patch format. 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Do not write restart sentinel files directly.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"delayMs":{"type":"integer","minimum":0},"reason":{"type":"string"},"continuationMessage":{"type":"string"},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"path":{"type":"string"},"raw":{"type":"string"},"baseHash":{"type":"string"},"replacePaths":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"maxItems":256},"sessionKey":{"type":"string"},"note":{"type":"string"},"restartDelayMs":{"type":"integer","minimum":0}}}},{"name":"get_goal","description":"Get the current goal for this thread, including status and token usage.","parameters":{"type":"object","properties":{}}},{"name":"image","description":"Analyze images with available vision model. Use image for one path/URL, images for max 20. Prompt says what to inspect.","parameters":{"type":"object","properties":{"prompt":{"type":"string"},"image":{"type":"string","description":"One image path/URL."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Image paths/URLs; maxImages default 20."},"model":{"type":"string"},"maxBytesMb":{"type":"number","exclusiveMinimum":0},"maxImages":{"type":"integer","minimum":1}}}},{"name":"image_generate","description":"Create/edit images. Session chats: background task; do not call image_generate again for same request; wait completion, then report through the current visible-reply contract with generated media attached using structured media fields. Transparent: outputFormat=\"png\" or \"webp\" + background=\"transparent\"; OpenAI also supports openai.background and routes default model to gpt-image-1.5. Use action=\"list\" for providers/models/readiness/auth, \"status\" for active task.","parameters":{"type":"object","properties":{"action":{"type":"string","description":"\"generate\" default, \"status\" active task, \"list\" providers/models."},"prompt":{"type":"string","description":"Image prompt."},"image":{"type":"string","description":"Reference image path/URL for edit."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference images for edit or style reference; max 14."},"model":{"type":"string","description":"Provider/model override, e.g. openai/gpt-image-2; transparent OpenAI: openai/gpt-image-1.5."},"filename":{"type":"string","description":"Output filename hint; basename preserved in managed media dir."},"size":{"type":"string","description":"Size hint: 1024x1024, 1536x1024, 1024x1536, 2048x2048, 3840x2160."},"aspectRatio":{"type":"string","description":"Aspect ratio: 1:1, 2:1, 20:9, 19.5:9, 2:3, 3:2, 2.35:1, 3:4, 4:3, 4:5, 5:4, 9:16, 9:19.5, 9:20, 16:9, 21:9, 1:2, 4:1, 1:4, 8:1, 1:8."},"resolution":{"type":"string","description":"Resolution: 1K, 2K, 4K; useful for Google."},"quality":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Quality: low, medium, high, auto."},"outputFormat":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Output format: png, jpeg, webp."},"background":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Background: transparent, opaque, auto. Transparent needs png/webp output."},"openai":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"fal":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"count":{"type":"integer","description":"Image count 1-4.","minimum":1,"maximum":4},"timeoutMs":{"type":"integer","description":"Provider timeout ms (300000 tends to be a safe amount).","minimum":1}}}},{"name":"memory_get","description":"Safe exact excerpt read from MEMORY.md or memory/*.md. Defaults to a bounded excerpt when lines are omitted, includes truncation/continuation info when more content exists, and `corpus=wiki` reads from registered compiled-wiki supplements.","parameters":{"type":"object","properties":{"path":{"type":"string"},"from":{"type":"integer","minimum":1},"lines":{"type":"integer","minimum":1},"corpus":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}},"required":["path"],"additionalProperties":false}},{"name":"memory_search","description":"Mandatory recall step: semantically search MEMORY.md + memory/*.md (and optional session transcripts) before answering questions about prior work, decisions, dates, people, preferences, or todos. Optional `corpus=wiki` or `corpus=all` also searches registered compiled-wiki supplements. `corpus=memory` restricts hits to indexed memory files (excludes session transcript chunks from ranking). `corpus=sessions` restricts hits to indexed session transcripts (same visibility rules as session history tools). If response has disabled=true, memory retrieval is unavailable and should be surfaced to the user.","parameters":{"type":"object","properties":{"query":{"type":"string"},"maxResults":{"type":"integer","minimum":1},"minScore":{"type":"number"},"corpus":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}},"required":["query"],"additionalProperties":false}},{"name":"message","description":"Send/delete/manage channel messages. Supports actions: send.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"channel":{"type":"string"},"target":{"type":"string","description":"Recipient/channel: E.164 for WhatsApp/Signal, Telegram chat id/@username, Discord/Slack/Mattermost <channelId|user:ID|channel:ID>, or iMessage handle/chat_id"},"targets":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"accountId":{"type":"string"},"dryRun":{"type":"boolean"},"message":{"type":"string"},"effectId":{"type":"string","description":"Effect id/name for sendWithEffect."},"effect":{"type":"string","description":"Alias for effectId."},"media":{"type":"string","description":"Media URL/path. data: use buffer."},"filename":{"type":"string"},"buffer":{"type":"string","description":"Base64 attachment payload; data URL ok."},"contentType":{"type":"string"},"mimeType":{"type":"string"},"caption":{"type":"string"},"attachments":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Structured attachments; each entry uses media."},"replyTo":{"type":"string"},"threadId":{"type":"string"},"asVoice":{"type":"boolean"},"silent":{"type":"boolean"},"quoteText":{"type":"string","description":"Telegram reply quote text."},"gifPlayback":{"type":"boolean"},"forceDocument":{"type":"boolean","description":"Send image/GIF/video as document; avoids compression."},"asDocument":{"type":"boolean","description":"Alias for forceDocument."},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1}}}},{"name":"node_inference","description":"Discover and run chat-capable Ollama models installed on paired desktop/server nodes. Use action=discover first, then action=run with a node and model from that result. Inference stays on the selected node.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"node":{"type":"string","description":"Connected node id or display name. Required when ambiguous."},"model":{"type":"string","description":"Exact local model name returned by discover."},"prompt":{"type":"string","description":"Prompt for action=run."},"system":{"type":"string","description":"Optional system prompt for action=run."},"temperature":{"type":"number","minimum":0,"maximum":2},"maxTokens":{"type":"integer","minimum":1,"maximum":8192},"timeoutMs":{"type":"integer","minimum":1,"maximum":600000}},"additionalProperties":false}},{"name":"nodes","description":"Discover/control paired nodes: status, describe, pairing, notify, camera/photos/screen/location/notifications/invoke. Use file_fetch for files.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"node":{"type":"string"},"requestId":{"type":"string"},"title":{"type":"string"},"body":{"type":"string"},"sound":{"type":"string"},"priority":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"delivery":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"facing":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"camera_snap: front/back/both; camera_clip: front/back only."},"maxWidth":{"type":"integer","minimum":1},"quality":{"type":"number","minimum":0,"maximum":1},"delayMs":{"type":"integer","minimum":0},"deviceId":{"type":"string"},"limit":{"type":"integer","minimum":1,"maximum":20},"duration":{"type":"string"},"durationMs":{"type":"integer","minimum":1,"maximum":300000},"includeAudio":{"type":"boolean"},"fps":{"type":"number","exclusiveMinimum":0},"screenIndex":{"type":"integer","minimum":0},"outPath":{"type":"string"},"maxAgeMs":{"type":"integer","minimum":0},"locationTimeoutMs":{"type":"integer","minimum":1},"desiredAccuracy":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"notificationAction":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"notificationKey":{"type":"string"},"notificationReplyText":{"type":"string"},"invokeCommand":{"type":"string"},"invokeParamsJson":{"type":"string"},"invokeTimeoutMs":{"type":"integer","minimum":1}}}},{"name":"pdf","description":"Analyze PDFs with model. Anthropic/Google native PDF when supported; else text/image extraction. Use pdf for one, pdfs for max 10; prompt says what to inspect.","parameters":{"type":"object","properties":{"prompt":{"type":"string"},"pdf":{"type":"string","description":"One PDF path/URL."},"pdfs":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"PDF paths/URLs; max 10."},"pages":{"type":"string","description":"Pages, e.g. \"1-5\", \"1,3,5-7\"; default all."},"model":{"type":"string"},"maxBytesMb":{"type":"number","exclusiveMinimum":0}}}},{"name":"process","description":"Manage running exec sessions for commands already started: list, poll, log, write, send-keys, submit, paste, kill. Use poll/log when you need status, logs, quiet-success confirmation, or completion confirmation when automatic completion wake is unavailable. Use poll/log also for input-wait hints. Use write/send-keys/submit/paste/kill for input or intervention. Do not use process polling to emulate timers or reminders; use cron for scheduled follow-ups.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","description":"Process action (list|poll|log|write|send-keys|submit|paste|kill|clear|remove)"},"sessionId":{"type":"string","description":"Session id for actions other than list"},"data":{"type":"string","description":"Data to write for write"},"keys":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Key tokens to send for send-keys"},"hex":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Hex bytes to send for send-keys"},"literal":{"type":"string","description":"Literal string for send-keys"},"text":{"type":"string","description":"Text to paste for paste"},"bracketed":{"type":"boolean","description":"Wrap paste in bracketed mode"},"eof":{"type":"boolean","description":"Close stdin after write"},"offset":{"type":"number","description":"Log offset"},"limit":{"type":"number","description":"Log length"},"timeout":{"type":"number","description":"For poll: wait up to this many milliseconds before returning; max 30000 ms, higher values are clamped to 30000","minimum":0}}}},{"name":"read","description":"Read the contents of a file. Supports text files and images (jpg, png, gif, webp, bmp). Images are sent as attachments. For text files, output is truncated to 2000 lines or 50KB (whichever is hit first). Use offset/limit for large files. When you need the full file, continue with offset until complete.","parameters":{"type":"object","required":["path"],"properties":{"path":{"type":"string","description":"Path to the file to read (relative or absolute)"},"offset":{"type":"number","description":"Line number to start reading from (1-indexed)"},"limit":{"type":"number","description":"Maximum number of lines to read"}}}},{"name":"session_status","description":"Show /status-like card for current/visible session: model, usage, time, cost, tasks. Use `sessionKey=\"current\"` for current session; UI labels like `openclaw-tui` are not keys. `model` sets session override; `model=default` resets. Use for active model/session config questions.","parameters":{"type":"object","properties":{"sessionKey":{"type":"string"},"model":{"type":"string"}}}},{"name":"sessions_history","description":"Fetch sanitized history for visible session. Use before replying, debugging, resuming; supports limit, offset pagination, and tool-message inclusion.","parameters":{"type":"object","required":["sessionKey"],"properties":{"sessionKey":{"type":"string"},"limit":{"type":"integer","minimum":1},"offset":{"type":"integer","minimum":0},"includeTools":{"type":"boolean"}}}},{"name":"sessions_list","description":"List visible sessions; filter by kind, label, agentId, search, activity, archive state. Use before sessions_history or sessions_send target selection.","parameters":{"type":"object","properties":{"kinds":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"limit":{"type":"integer","minimum":1},"activeMinutes":{"type":"integer","minimum":1},"messageLimit":{"type":"integer","minimum":0},"label":{"type":"string","minLength":1},"agentId":{"type":"string","minLength":1,"maxLength":64},"search":{"type":"string","minLength":1},"archived":{"type":"boolean"},"includeDerivedTitles":{"type":"boolean"},"includeLastMessage":{"type":"boolean"}}}},{"name":"sessions_send","description":"Send message to visible session by sessionKey/label, or configured agent by agentId; sessionKey wins when redundant label metadata is present. Thread-scoped chats rejected; target parent channel session. Creates missing configured-agent main session; waits for reply when available.","parameters":{"type":"object","required":["message"],"properties":{"sessionKey":{"type":"string"},"label":{"type":"string","minLength":1,"maxLength":512},"agentId":{"type":"string","minLength":1,"maxLength":64},"message":{"type":"string"},"timeoutSeconds":{"type":"integer","minimum":0}}}},{"name":"sessions_spawn","description":"Spawn clean child session; default `runtime=\"subagent\"`. `mode=\"run\"` one-shot background work. Subagents inherit parent workspace. Native subagents get task in first visible `[Subagent Task]` message. Native only: `context=\"fork\"` only when child needs current transcript; else omit or `isolated`. Use for fresh child-session work. Delegate sidecar/parallel tasks: batch file reads, multi-step searches, data collection. Avoid delegating quick lookups or single-file reads unless policy prefers delegation. After spawning, do non-overlapping work while run-mode results return.","parameters":{"type":"object","required":["task"],"properties":{"task":{"type":"string"},"taskName":{"type":"string","description":"Stable alias for later targeting; lowercase letters/digits/underscores/hyphens, starts letter."},"label":{"type":"string"},"runtime":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"agentId":{"type":"string"},"model":{"type":"string"},"thinking":{"type":"string"},"cwd":{"type":"string"},"mode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"cleanup":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"sandbox":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"context":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Native context. Omit/\"isolated\" for clean child; \"fork\" only when child needs requester transcript."},"lightContext":{"type":"boolean","description":"Light bootstrap context; runtime=\"subagent\" only."},"attachments":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"maxItems":50},"attachAs":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}}}},{"name":"sessions_yield","description":"End current turn. Use after spawning subagents; results arrive as next message.","parameters":{"type":"object","properties":{"message":{"type":"string"}}}},{"name":"skill_workshop","description":"Create, update, revise, list, inspect, apply, reject, or quarantine Skill Workshop proposals when reusable procedures should be captured, improved, or explicitly approved.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"create = new skill; update = existing live skill; revise = existing pending proposal; list/inspect discover pending proposals (not filesystem search); apply/reject/quarantine are explicit lifecycle actions."},"proposal_id":{"type":"string","description":"Existing proposal id for action=inspect, action=revise, action=apply, action=reject, or action=quarantine."},"name":{"type":"string","description":"Skill/proposal name. Required for create; for inspect/revise when proposal_id is unknown, resolves a pending proposal or returns candidates."},"query":{"type":"string","description":"Optional query for action=list."},"status":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Optional proposal status filter for action=list."},"limit":{"type":"integer","minimum":1,"maximum":50,"description":"Maximum proposals to return for action=list. Defaults to 20."},"description":{"type":"string","maxLength":160,"description":"Skill description for create/update/revise; max 160 bytes. On update, concise text shortens the proposal listing entry."},"skill_name":{"type":"string","description":"Existing skill name or key for action=update."},"proposal_content":{"type":"string","description":"Full proposed procedure markdown for action=create, action=update, or action=revise. It will be stored as PROPOSAL.md. Keep under configured skills.workshop.maxSkillBytes; default max is 40000 bytes."},"support_files":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Optional support files to store with the proposal."},"goal":{"type":"string","description":"Proposal or improvement goal."},"evidence":{"type":"string","description":"Short evidence or notes."},"reason":{"type":"string","description":"Optional reason for action=apply, action=reject, or action=quarantine."}},"additionalProperties":false}},{"name":"subagents","description":"List active and recent subagents for the requester session. If sessions_yield exists, use it for completion; do not poll wait loops.","parameters":{"type":"object","properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"recentMinutes":{"type":"integer","minimum":1}}}},{"name":"tts","description":"Use only for explicit audio intent (voice/speech/TTS) or active TTS config. Never use for ordinary text replies. Audio auto-delivered from tool result; after success follow reply instructions, no duplicate text/audio.","parameters":{"type":"object","required":["text"],"properties":{"text":{"type":"string","description":"Text to speak."},"channel":{"type":"string","description":"Channel id; output-format hint."},"timeoutMs":{"type":"integer","description":"Provider timeout ms.","minimum":1}}}},{"name":"update_goal","description":"Mark the current goal complete only when achieved, or blocked only after the same blocking condition recurs for at least three consecutive goal turns. Do not use blocked for ordinary difficulty or missing polish.","parameters":{"type":"object","required":["status"],"properties":{"status":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"complete | blocked."},"note":{"type":"string","description":"Short status note."}}}},{"name":"update_plan","description":"Update current run plan. Use for non-trivial multi-step work; keep plan current while executing. Short steps; max one `in_progress`; skip for simple one-step work.","parameters":{"type":"object","required":["plan"],"properties":{"explanation":{"type":"string","description":"Short note: what changed."},"plan":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"minItems":1,"description":"Ordered steps; max one in_progress."}}}},{"name":"video_generate","description":"Create videos. Session chats: background task; do not call video_generate again for same request; wait completion, then report through the current visible-reply contract with generated media attached using structured media fields. \"status\" checks active task. Duration may round to provider-supported value.","parameters":{"type":"object","properties":{"action":{"type":"string","description":"\"generate\" default, \"status\" active task, \"list\" providers/models."},"prompt":{"type":"string","description":"Video prompt."},"image":{"type":"string","description":"One reference image path/URL."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference images; max 9."},"imageRoles":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"`image` + `images` roles by index after de-dupe. Values: first_frame, last_frame, reference_image; empty string leaves unset."},"video":{"type":"string","description":"One reference video path/URL."},"videos":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference videos; max 4."},"videoRoles":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"`video` + `videos` roles by index after de-dupe. Value: reference_video; empty string leaves unset."},"model":{"type":"string","description":"Provider/model override, e.g. qwen/wan2.6-t2v."},"filename":{"type":"string","description":"Output filename hint; basename preserved in managed media dir."},"size":{"type":"string","description":"Size hint, e.g. 1280x720, 1920x1080."},"aspectRatio":{"type":"string","description":"Aspect ratio: 1:1, 16:9, 9:16, \"adaptive\", or provider value; unsupported normalized/ignored."},"resolution":{"type":"string","description":"Resolution: 360P, 480P, 540P, 720P, 768P, 1080P, 4K, or provider value; unsupported normalized/ignored."},"durationSeconds":{"type":"integer","description":"Target seconds; may round to nearest supported duration.","minimum":1},"audio":{"type":"boolean","description":"Generated-audio toggle."},"watermark":{"type":"boolean","description":"Watermark toggle."},"providerOptions":{"type":"object","patternProperties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Provider JSON options, e.g. {\"seed\":42}. Keys/types must match provider capabilities; mismatch skips candidate. Use action=list for accepted keys."},"timeoutMs":{"type":"integer","description":"Provider timeout ms.","minimum":1}}}},{"name":"write","description":"Write content to a file. Creates the file if it doesn't exist, overwrites if it does. Automatically creates parent directories.","parameters":{"type":"object","required":["path","content"],"properties":{"path":{"type":"string","description":"Path to the file to write (relative or absolute)"},"content":{"type":"string","description":"Content to write to the file"}}}}],"imagesCount":0,"streamStrategy":"boundary-aware:openai-completions","transport":"auto","transcriptLeafId":"4b9f7dce"}}
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No API keys required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/deep-research-pro/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/deep-research-pro","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/deep-research-pro","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/deep-research-pro/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"diagram-maker","name":"diagram-maker","description":"Create SVG/HTML or Excalidraw diagrams for concepts, architecture, flows, and whiteboards.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"dingtalk-channel-rules","name":"dingtalk-channel-rules","description":"钉钉会话输出规则。在钉钉会话中始终生效。","filePath":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-channel-rules/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-channel-rules","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-channel-rules","origin":"top-level","path":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-channel-rules/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"dingtalk-troubleshoot","name":"dingtalk-troubleshoot","description":"钉钉连接器问题排查。包含 dws CLI 常见错误处理、授权问题排查和连接故障诊断。\n当 dws 命令执行失败、授权异常、连接中断时自动激活。","filePath":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-troubleshoot/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-troubleshoot","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-troubleshoot","origin":"top-level","path":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-troubleshoot/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"docker-essentials","name":"docker-essentials","description":"Essential Docker commands and workflows for container management, image operations, and debugging.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/docker-essentials/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/docker-essentials","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/docker-essentials","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/docker-essentials/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"dws","name":"dws","description":"管理钉钉产品能力(AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/开放平台文档/钉钉文档/钉钉云盘/AI听记/邮箱/在线电子表格/知识库等)。当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报（钉钉日志模版）、读写钉钉文档、上传下载云盘文件、查询听记纪要、收发邮件、读写在线电子表格(axls)、管理钉钉知识库时使用。","filePath":"$OPENCLAW_STATE_DIR/skills/dws/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/skills/dws","source":"openclaw-managed","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/skills/dws","origin":"top-level","path":"$OPENCLAW_STATE_DIR/skills/dws/SKILL.md","scope":"project","source":"openclaw-managed"},"disableModelInvocation":false,"available":true},{"id":"dws-cli","name":"dws-cli","description":"在钉钉会话中通过 dws CLI 管理钉钉产品能力（AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/工作台等）。\n当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报时使用。","filePath":"$OPENCLAW_STATE_DIR/plugin-skills/dws-cli/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dws-cli","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dws-cli","origin":"top-level","path":"$OPENCLAW_STATE_DIR/plugin-skills/dws-cli/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"healthcheck","name":"healthcheck","description":"Audit/harden OpenClaw hosts: SSH, firewall, updates, exposure, backups, disk encryption, gateway security.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"humanizer","name":"humanizer","description":"Remove signs of AI-generated writing from text. Use when editing or reviewing\ntext to make it sound more natural and human-written. Based on Wikipedia's\ncomprehensive \"Signs of AI writing\" guide. Detects and fixes patterns including:\ninflated symbolism, promotional language, superficial -ing analyses, vague\nattributions, em dash overuse, rule of three, AI vocabulary words, negative\nparallelisms, and excessive conjunctive phrases.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"imap-smtp-email","name":"imap-smtp-email","description":"Read and send email via IMAP/SMTP. Check for new/unread messages, fetch content, search mailboxes, mark as read/unread, and send emails with attachments. Supports multiple accounts. Works with any IMAP/SMTP server including Gmail, Outlook, 163.com, vip.163.com, 126.com, vip.126.com, 188.com, and vip.188.com.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"meme-maker","name":"meme-maker","description":"Search meme templates, suggest formats, and generate local or hosted image memes.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"multi-search-engine","name":"multi-search-engine","description":"Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"MySQL","name":"MySQL","description":"Write correct MySQL queries with proper character sets, indexing, transactions, and production patterns.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"news-summary","name":"news-summary","description":"This skill should be used when the user asks for news updates, daily briefings, or what's happening in the world. Fetches news from trusted international RSS feeds and can create voice summaries.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"node-connect","name":"node-connect","description":"Diagnose OpenClaw Android, iOS, or macOS node pairing, QR/setup code, route, auth, and connection failures.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"node-inspect-debugger","name":"node-inspect-debugger","description":"Debug Node.js with node inspect, --inspect, breakpoints, CDP, heap, and CPU profiles.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"obsidian-official-cli","name":"obsidian-official-cli","description":"Work with Obsidian vaults using the official Obsidian CLI (v1.12+). Open, search, create, move, and manage notes from the terminal. Use when working with Obsidian vaults for note management, file operations, searching content, managing tasks, properties, links, plugins, themes, sync operations, or any command-line interaction with Obsidian.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"opencode-controller","name":"opencode-controller","description":"Control and operate Opencode via slash commands. Use this skill to manage sessions, select models, switch agents (plan/build), and coordinate coding through Opencode.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"openspec","name":"openspec","description":"Spec-driven development with OpenSpec CLI. Use when building features, migrations, refactors, or any structured development work. Manages proposal → specs → design → tasks → implementation workflows. Supports custom schemas (TDD, rapid, etc.). Trigger on requests involving feature planning, spec writing, change management, or when /opsx commands are mentioned.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/openspec/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/openspec","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/openspec","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/openspec/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"python-debugpy","name":"python-debugpy","description":"Debug Python with pdb, breakpoint(), post-mortem inspection, and debugpy remote attach.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"qiushi-openclaw-skills","name":"qiushi-openclaw-skills","description":"求是 OpenClaw Skills 是基于毛泽东思想方法论的 AI Agent 技能集合，按照 OpenClaw 技能格式进行改造，旨在为 AI 提供系统化的思考和行动框架。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"requirements-analyst","name":"requirements-analyst","description":"将产品需求转化为前后端可执行的技术规范，输出离线性优先的结构化文档。当用户提出产品需求、PRD、功能描述或模糊想法时自动触发。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"rss-ai-reader","name":"rss-ai-reader","description":"📰 RSS AI 阅读器 — 自动抓取订阅、LLM生成摘要、多渠道推送！\n支持 Claude/OpenAI 生成中文摘要，推送到飞书/Telegram/Email。\n触发条件: 用户要求订阅RSS、监控博客、抓取新闻、生成摘要、设置定时抓取、\n\"帮我订阅\"、\"监控这个网站\"、\"每天推送新闻\"、RSS/Atom feed 相关。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"skill-creator","name":"skill-creator","description":"Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"spike","name":"spike","description":"Run throwaway prototypes to validate feasibility, compare approaches, and report a verdict.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"Spreadsheet & Data Wrangling Master","name":"Spreadsheet & Data Wrangling Master","description":"Complete spreadsheet methodology — data cleanup, transformation, analysis, dashboards, automation, and reporting. Works with CSV, Excel, Google Sheets, or any tabular data. Use when the user needs to clean messy data, build reports, create dashboards, automate recurring spreadsheet tasks, or transform data between formats.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"sql-toolkit","name":"sql-toolkit","description":"Query, design, migrate, and optimize SQL databases. Use when working with SQLite, PostgreSQL, or MySQL — schema design, writing queries, creating migrations, indexing, backup/restore, and debugging slow queries. No ORMs required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"taskflow","name":"taskflow","description":"Coordinate multi-step detached tasks as one durable TaskFlow job with owner context, state, waits, and child tasks.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"taskflow-inbox-triage","name":"taskflow-inbox-triage","description":"Example TaskFlow pattern for inbox triage, intent routing, waiting on replies, and later summaries.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"using-superpowers","name":"using-superpowers","description":"Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"weather","name":"weather","description":"Get current weather and forecasts (no API key required).","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/weather/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/weather","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/weather","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/weather/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"web-search","name":"web-search","description":"This skill should be used when users need to search the web for information, find current content, look up news articles, search for images, or find videos. It uses a self-hosted SearXNG instance to return results in clean, formatted output (text, markdown, or JSON). Use for research, fact-checking, finding recent information, or gathering web resources.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/web-search/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/web-search","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/web-search","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/web-search/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true}]},"prompting":{"skillsPrompt":"\n\nThe following skills provide specialized instructions for specific tasks.\nUse the read tool to load a skill's file when the task matches its description.\nIf a skill's <version> differs from a previous turn, re-read its SKILL.md before using it.\nWhen a skill file references a relative path, resolve it against the skill directory (parent of SKILL.md / dirname of the path) and use that absolute path in tool commands.\n\n<available_skills>\n <skill>\n <name>agent-browser</name>\n <description>Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection</description>\n <location>~/.openclaw/workspace/skills/agent-browser-clawdbot/SKILL.md</location>\n <version>sha256:9643b9c65476eedd</version>\n </skill>\n <skill>\n <name>chinese-calendar</name>\n <description>获取中国日历信息，包括节假日、调休安排、工作日判断。使用 timor.tech API，数据每年自动更新。Use when: 需要判断某天是否是工作日、查询节假日安排、了解调休情况。</description>\n <location>~/.openclaw/workspace/skills/chinese-calendar/SKILL.md</location>\n <version>sha256:40a9ba942647e641</version>\n </skill>\n <skill>\n <name>clawhub</name>\n <description>Search ClawHub for skills when a requested capability is not already available; install, verify, update, publish, or sync skills.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/clawhub/SKILL.md</location>\n <version>sha256:6bb70d95cbd1a545</version>\n </skill>\n <skill>\n <name>Code</name>\n <description>Coding workflow with planning, implementation, verification, and testing for clean software development.</description>\n <location>~/.openclaw/workspace/skills/openclaw-code/SKILL.md</location>\n <version>sha256:f09694134cc55cc0</version>\n </skill>\n <skill>\n <name>database-admin</name>\n <description>Comprehensive database administration, schema management, data operations, and optimization. Use when Codex needs to: (1) Create or modify database tables with proper indexing, (2) Perform bulk data insertions with type safety and constraint handling, (3) Execute complex queries with JOINs, aggregations, and subqueries, (4) Optimize query performance through indexing and execution plan analysis, (5) Manage database backups, restores, and migrations, (6) Handle special data types (BIGINT, UUID, JSONB, enums), (7) Implement transactional safety with ACID compliance, or (8) Debug and resolve database errors including constraint violations, type mismatches, and foreign key issues</description>\n <location>~/.openclaw/workspace/skills/database-admin/SKILL.md</location>\n <version>sha256:7649e43727f2fb8b</version>\n </skill>\n <skill>\n <name>database-schema-designer</name>\n <description>Database Schema Designer</description>\n <location>~/.openclaw/workspace/skills/database-schema-designer/SKILL.md</location>\n <version>sha256:3f2282ec8135dfdf</version>\n </skill>\n <skill>\n <name>db-query</name>\n <description>Query project databases with automatic SSH tunnel management. Use when you need to execute SQL queries against configured databases, especially those accessible only via SSH tunnels. Automatically manages SSH connection lifecycle (establishes tunnel before query, closes after). Supports multiple databases distinguished by description/name from config file.</description>\n <location>~/.openclaw/workspace/skills/db-query/SKILL.md</location>\n <version>sha256:eaffe1e617f2b8f2</version>\n </skill>\n <skill>\n <name>db-schema</name>\n <description>Generate database schemas, migrations, and ERD diagrams from plain English descriptions — supports PostgreSQL, MySQL, SQLite, and MongoDB with proper indexes and constraints.</description>\n <location>~/.openclaw/workspace/skills/db-schema-gen/SKILL.md</location>\n <version>sha256:c511ce8bb306f227</version>\n </skill>\n <skill>\n <name>deep-research-pro</name>\n <description>Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.</description>\n <location>~/.openclaw/workspace/skills/deep-research-pro/SKILL.md</location>\n <version>sha256:a780f8bbec442198</version>\n </skill>\n <skill>\n <name>diagram-maker</name>\n <description>Create SVG/HTML or Excalidraw diagrams for concepts, architecture, flows, and whiteboards.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker/SKILL.md</location>\n <version>sha256:6195e03fcb04a1a6</version>\n </skill>\n <skill>\n <name>dingtalk-channel-rules</name>\n <description>钉钉会话输出规则。在钉钉会话中始终生效。</description>\n <location>~/.openclaw/plugin-skills/dingtalk-channel-rules/SKILL.md</location>\n <version>sha256:4abd7ff39fd8ab23</version>\n </skill>\n <skill>\n <name>dingtalk-troubleshoot</name>\n <description>钉钉连接器问题排查。包含 dws CLI 常见错误处理、授权问题排查和连接故障诊断。\n当 dws 命令执行失败、授权异常、连接中断时自动激活。</description>\n <location>~/.openclaw/plugin-skills/dingtalk-troubleshoot/SKILL.md</location>\n <version>sha256:831e1260e77bcf9b</version>\n </skill>\n <skill>\n <name>docker-essentials</name>\n <description>Essential Docker commands and workflows for container management, image operations, and debugging.</description>\n <location>~/.openclaw/workspace/skills/docker-essentials/SKILL.md</location>\n <version>sha256:bf8120febd5275b0</version>\n </skill>\n <skill>\n <name>dws</name>\n <description>管理钉钉产品能力(AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/开放平台文档/钉钉文档/钉钉云盘/AI听记/邮箱/在线电子表格/知识库等)。当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报（钉钉日志模版）、读写钉钉文档、上传下载云盘文件、查询听记纪要、收发邮件、读写在线电子表格(axls)、管理钉钉知识库时使用。</description>\n <location>~/.openclaw/skills/dws/SKILL.md</location>\n <version>sha256:25f131a2e41eeeca</version>\n </skill>\n <skill>\n <name>dws-cli</name>\n <description>在钉钉会话中通过 dws CLI 管理钉钉产品能力（AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/工作台等）。\n当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报时使用。</description>\n <location>~/.openclaw/plugin-skills/dws-cli/SKILL.md</location>\n <version>sha256:e1e0cb89e56c9a8d</version>\n </skill>\n <skill>\n <name>healthcheck</name>\n <description>Audit/harden OpenClaw hosts: SSH, firewall, updates, exposure, backups, disk encryption, gateway security.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck/SKILL.md</location>\n <version>sha256:518ec6e0482cf1c7</version>\n </skill>\n <skill>\n <name>humanizer</name>\n <description>Remove signs of AI-generated writing from text. Use when editing or reviewing\ntext to make it sound more natural and human-written. Based on Wikipedia's\ncomprehensive "Signs of AI writing" guide. Detects and fixes patterns including:\ninflated symbolism, promotional language, superficial -ing analyses, vague\nattributions, em dash overuse, rule of three, AI vocabulary words, negative\nparallelisms, and excessive conjunctive phrases.</description>\n <location>~/.openclaw/workspace/skills/humanizer/SKILL.md</location>\n <version>sha256:d7ce483d368e4301</version>\n </skill>\n <skill>\n <name>imap-smtp-email</name>\n <description>Read and send email via IMAP/SMTP. Check for new/unread messages, fetch content, search mailboxes, mark as read/unread, and send emails with attachments. Supports multiple accounts. Works with any IMAP/SMTP server including Gmail, Outlook, 163.com, vip.163.com, 126.com, vip.126.com, 188.com, and vip.188.com.</description>\n <location>~/.openclaw/workspace/skills/imap-smtp-email/SKILL.md</location>\n <version>sha256:01345a894f2863a4</version>\n </skill>\n <skill>\n <name>meme-maker</name>\n <description>Search meme templates, suggest formats, and generate local or hosted image memes.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md</location>\n <version>sha256:8b8832f9f0f58b16</version>\n </skill>\n <skill>\n <name>multi-search-engine</name>\n <description>Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required.</description>\n <location>~/.openclaw/workspace/skills/multi-search-engine/SKILL.md</location>\n <version>sha256:ef2d2706e82ad0fc</version>\n </skill>\n <skill>\n <name>MySQL</name>\n <description>Write correct MySQL queries with proper character sets, indexing, transactions, and production patterns.</description>\n <location>~/.openclaw/workspace/skills/MySQL/SKILL.md</location>\n <version>sha256:97003e1d9502f459</version>\n </skill>\n <skill>\n <name>news-summary</name>\n <description>This skill should be used when the user asks for news updates, daily briefings, or what's happening in the world. Fetches news from trusted international RSS feeds and can create voice summaries.</description>\n <location>~/.openclaw/workspace/skills/news-summary/SKILL.md</location>\n <version>sha256:1b4c45b56f567567</version>\n </skill>\n <skill>\n <name>node-connect</name>\n <description>Diagnose OpenClaw Android, iOS, or macOS node pairing, QR/setup code, route, auth, and connection failures.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md</location>\n <version>sha256:cc39026fd84e5cfa</version>\n </skill>\n <skill>\n <name>node-inspect-debugger</name>\n <description>Debug Node.js with node inspect, --inspect, breakpoints, CDP, heap, and CPU profiles.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md</location>\n <version>sha256:50d2f6828eaf4bbf</version>\n </skill>\n <skill>\n <name>obsidian-official-cli</name>\n <description>Work with Obsidian vaults using the official Obsidian CLI (v1.12+). Open, search, create, move, and manage notes from the terminal. Use when working with Obsidian vaults for note management, file operations, searching content, managing tasks, properties, links, plugins, themes, sync operations, or any command-line interaction with Obsidian.</description>\n <location>~/.openclaw/workspace/skills/obsidian-official-cli/SKILL.md</location>\n <version>sha256:d9c66873957818a1</version>\n </skill>\n <skill>\n <name>opencode-controller</name>\n <description>Control and operate Opencode via slash commands. Use this skill to manage sessions, select models, switch agents (plan/build), and coordinate coding through Opencode.</description>\n <location>~/.openclaw/workspace/skills/opencode-controller/SKILL.md</location>\n <version>sha256:6535df08ba8b0bbc</version>\n </skill>\n <skill>\n <name>openspec</name>\n <description>Spec-driven development with OpenSpec CLI. Use when building features, migrations, refactors, or any structured development work. Manages proposal → specs → design → tasks → implementation workflows. Supports custom schemas (TDD, rapid, etc.). Trigger on requests involving feature planning, spec writing, change management, or when /opsx commands are mentioned.</description>\n <location>~/.openclaw/workspace/skills/openspec/SKILL.md</location>\n <version>sha256:720f832d1879e281</version>\n </skill>\n <skill>\n <name>python-debugpy</name>\n <description>Debug Python with pdb, breakpoint(), post-mortem inspection, and debugpy remote attach.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md</location>\n <version>sha256:bfb1891204b67260</version>\n </skill>\n <skill>\n <name>qiushi-openclaw-skills</name>\n <description>求是 OpenClaw Skills 是基于毛泽东思想方法论的 AI Agent 技能集合，按照 OpenClaw 技能格式进行改造，旨在为 AI 提供系统化的思考和行动框架。</description>\n <location>~/.openclaw/workspace/skills/qiushi-openclaw-skill/SKILL.md</location>\n <version>sha256:b21d933b7f61584d</version>\n </skill>\n <skill>\n <name>requirements-analyst</name>\n <description>将产品需求转化为前后端可执行的技术规范，输出离线性优先的结构化文档。当用户提出产品需求、PRD、功能描述或模糊想法时自动触发。</description>\n <location>~/.openclaw/workspace/skills/requirements-analyst/SKILL.md</location>\n <version>sha256:f766e6b7b585e7e8</version>\n </skill>\n <skill>\n <name>rss-ai-reader</name>\n <description>📰 RSS AI 阅读器 — 自动抓取订阅、LLM生成摘要、多渠道推送！\n支持 Claude/OpenAI 生成中文摘要，推送到飞书/Telegram/Email。\n触发条件: 用户要求订阅RSS、监控博客、抓取新闻、生成摘要、设置定时抓取、\n"帮我订阅"、"监控这个网站"、"每天推送新闻"、RSS/Atom feed 相关。</description>\n <location>~/.openclaw/workspace/skills/rss-ai-reader/SKILL.md</location>\n <version>sha256:0abcc8438f644cdb</version>\n </skill>\n <skill>\n <name>skill-creator</name>\n <description>Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md</location>\n <version>sha256:d15b25d332d835eb</version>\n </skill>\n <skill>\n <name>spike</name>\n <description>Run throwaway prototypes to validate feasibility, compare approaches, and report a verdict.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md</location>\n <version>sha256:1258cde2d0e53267</version>\n </skill>\n <skill>\n <name>Spreadsheet & Data Wrangling Master</name>\n <description>Complete spreadsheet methodology — data cleanup, transformation, analysis, dashboards, automation, and reporting. Works with CSV, Excel, Google Sheets, or any tabular data. Use when the user needs to clean messy data, build reports, create dashboards, automate recurring spreadsheet tasks, or transform data between formats.</description>\n <location>~/.openclaw/workspace/skills/afrexai-spreadsheet-master/SKILL.md</location>\n <version>sha256:6505a92ae50c1cdd</version>\n </skill>\n <skill>\n <name>sql-toolkit</name>\n <description>Query, design, migrate, and optimize SQL databases. Use when working with SQLite, PostgreSQL, or MySQL — schema design, writing queries, creating migrations, indexing, backup/restore, and debugging slow queries. No ORMs required.</description>\n <location>~/.openclaw/workspace/skills/sql-toolkit/SKILL.md</location>\n <version>sha256:515ecf904449a3cd</version>\n </skill>\n <skill>\n <name>taskflow</name>\n <description>Coordinate multi-step detached tasks as one durable TaskFlow job with owner context, state, waits, and child tasks.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md</location>\n <version>sha256:d8b6a48d329aef0a</version>\n </skill>\n <skill>\n <name>taskflow-inbox-triage</name>\n <description>Example TaskFlow pattern for inbox triage, intent routing, waiting on replies, and later summaries.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md</location>\n <version>sha256:1fe28cd924d8ae2d</version>\n </skill>\n <skill>\n <name>using-superpowers</name>\n <description>Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions</description>\n <location>~/.openclaw/workspace/skills/using-superpowers/SKILL.md</location>\n <version>sha256:81d921b16502091f</version>\n </skill>\n <skill>\n <name>weather</name>\n <description>Get current weather and forecasts (no API key required).</description>\n <location>~/.openclaw/workspace/skills/weather/SKILL.md</location>\n <version>sha256:1ca0c8d768ad603e</version>\n </skill>\n <skill>\n <name>web-search</name>\n <description>This skill should be used when users need to search the web for information, find current content, look up news articles, search for images, or find videos. 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Defaults to the resolved calling-session key when omitted."}},"additionalProperties":true}},{"name":"edit","description":"Edit a single file using exact text replacement. Every edits[].oldText must match a unique, non-overlapping region of the original file. If two changes affect the same block or nearby lines, merge them into one edit instead of emitting overlapping edits. Do not include large unchanged regions just to connect distant changes.","parameters":{"type":"object","required":["path","edits"],"properties":{"path":{"type":"string","description":"Path to the file to edit (relative or absolute)"},"edits":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"One or more targeted replacements. Each edit is matched against the original file, not incrementally. Do not include overlapping or nested edits. If two changes touch the same block or nearby lines, merge them into one edit instead."}},"additionalProperties":false}},{"name":"exec","description":"Execute shell commands with background continuation for work that starts now. Use yieldMs/background to continue later via process tool. For long-running work started now, rely on automatic completion wake when it is enabled and the command emits output or fails; otherwise use process to confirm completion. Use process whenever you need logs, status, input, or intervention. Do not use exec sleep or delay loops for reminders or deferred follow-ups; use cron instead. Use pty=true for TTY-required commands (terminal UIs, coding agents).","parameters":{"type":"object","required":["command"],"properties":{"command":{"type":"string","description":"Shell command to execute"},"workdir":{"type":"string","description":"Working directory. Blank/whitespace values are invalid; omit to use the default cwd."},"env":{"type":"object","patternProperties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"yieldMs":{"type":"number","description":"Milliseconds to wait before backgrounding (default 10000)"},"background":{"type":"boolean","description":"Run in background immediately"},"timeout":{"type":"number","description":"Timeout in seconds (optional, kills process on expiry)"},"pty":{"type":"boolean","description":"Run in a pseudo-terminal (PTY) when available (TTY-required CLIs, coding agents)"},"elevated":{"type":"boolean","description":"Run on the host with elevated permissions (if allowed)"},"host":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Exec host/target (auto|sandbox|gateway|node)."},"security":{"type":"string","description":"Ignored for normal calls; exec security is set by tools.exec.security and host approvals."},"ask":{"type":"string","description":"Baseline ask comes from tools.exec.ask and host approvals; channel-origin calls ignore per-call ask when effective host ask is off."},"node":{"type":"string","description":"Node id/name for host=node."}}}},{"name":"gateway","description":"Gateway restart/config/update. Before config edits, use config.schema.lookup with targeted dot path. Prefer config.patch for partial merge; config.apply only full replace. For config.patch that intentionally removes array entries, pass replacePaths with the exact affected array path. Writes hot-reload or restart as needed. Always pass human `note` for post-restart delivery. If post-restart work must continue internally, pass one-shot `continuationMessage`; visible follow-up from that turn must use the message tool. Do not write restart sentinel files directly.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"delayMs":{"type":"integer","minimum":0},"reason":{"type":"string"},"continuationMessage":{"type":"string"},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"path":{"type":"string"},"raw":{"type":"string"},"baseHash":{"type":"string"},"replacePaths":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"maxItems":256},"sessionKey":{"type":"string"},"note":{"type":"string"},"restartDelayMs":{"type":"integer","minimum":0}}}},{"name":"get_goal","description":"Get the current goal for this thread, including status and token usage.","parameters":{"type":"object","properties":{}}},{"name":"image","description":"Analyze images with available vision model. Use image for one path/URL, images for max 20. Prompt says what to inspect.","parameters":{"type":"object","properties":{"prompt":{"type":"string"},"image":{"type":"string","description":"One image path/URL."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Image paths/URLs; maxImages default 20."},"model":{"type":"string"},"maxBytesMb":{"type":"number","exclusiveMinimum":0},"maxImages":{"type":"integer","minimum":1}}}},{"name":"image_generate","description":"Create/edit images. Session chats: background task; do not call image_generate again for same request; wait completion, then report through the current visible-reply contract with generated media attached using structured media fields. Transparent: outputFormat=\"png\" or \"webp\" + background=\"transparent\"; OpenAI also supports openai.background and routes default model to gpt-image-1.5. Use action=\"list\" for providers/models/readiness/auth, \"status\" for active task.","parameters":{"type":"object","properties":{"action":{"type":"string","description":"\"generate\" default, \"status\" active task, \"list\" providers/models."},"prompt":{"type":"string","description":"Image prompt."},"image":{"type":"string","description":"Reference image path/URL for edit."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference images for edit or style reference; max 14."},"model":{"type":"string","description":"Provider/model override, e.g. openai/gpt-image-2; transparent OpenAI: openai/gpt-image-1.5."},"filename":{"type":"string","description":"Output filename hint; basename preserved in managed media dir."},"size":{"type":"string","description":"Size hint: 1024x1024, 1536x1024, 1024x1536, 2048x2048, 3840x2160."},"aspectRatio":{"type":"string","description":"Aspect ratio: 1:1, 2:1, 20:9, 19.5:9, 2:3, 3:2, 2.35:1, 3:4, 4:3, 4:5, 5:4, 9:16, 9:19.5, 9:20, 16:9, 21:9, 1:2, 4:1, 1:4, 8:1, 1:8."},"resolution":{"type":"string","description":"Resolution: 1K, 2K, 4K; useful for Google."},"quality":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Quality: low, medium, high, auto."},"outputFormat":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Output format: png, jpeg, webp."},"background":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Background: transparent, opaque, auto. Transparent needs png/webp output."},"openai":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"fal":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"count":{"type":"integer","description":"Image count 1-4.","minimum":1,"maximum":4},"timeoutMs":{"type":"integer","description":"Provider timeout ms (300000 tends to be a safe amount).","minimum":1}}}},{"name":"memory_get","description":"Safe exact excerpt read from MEMORY.md or memory/*.md. Defaults to a bounded excerpt when lines are omitted, includes truncation/continuation info when more content exists, and `corpus=wiki` reads from registered compiled-wiki supplements.","parameters":{"type":"object","properties":{"path":{"type":"string"},"from":{"type":"integer","minimum":1},"lines":{"type":"integer","minimum":1},"corpus":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}},"required":["path"],"additionalProperties":false}},{"name":"memory_search","description":"Mandatory recall step: semantically search MEMORY.md + memory/*.md (and optional session transcripts) before answering questions about prior work, decisions, dates, people, preferences, or todos. Optional `corpus=wiki` or `corpus=all` also searches registered compiled-wiki supplements. `corpus=memory` restricts hits to indexed memory files (excludes session transcript chunks from ranking). `corpus=sessions` restricts hits to indexed session transcripts (same visibility rules as session history tools). If response has disabled=true, memory retrieval is unavailable and should be surfaced to the user.","parameters":{"type":"object","properties":{"query":{"type":"string"},"maxResults":{"type":"integer","minimum":1},"minScore":{"type":"number"},"corpus":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}},"required":["query"],"additionalProperties":false}},{"name":"message","description":"Send/delete/manage channel messages. Supports actions: send.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"channel":{"type":"string"},"target":{"type":"string","description":"Recipient/channel: E.164 for WhatsApp/Signal, Telegram chat id/@username, Discord/Slack/Mattermost <channelId|user:ID|channel:ID>, or iMessage handle/chat_id"},"targets":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"accountId":{"type":"string"},"dryRun":{"type":"boolean"},"message":{"type":"string"},"effectId":{"type":"string","description":"Effect id/name for sendWithEffect."},"effect":{"type":"string","description":"Alias for effectId."},"media":{"type":"string","description":"Media URL/path. data: use buffer."},"filename":{"type":"string"},"buffer":{"type":"string","description":"Base64 attachment payload; data URL ok."},"contentType":{"type":"string"},"mimeType":{"type":"string"},"caption":{"type":"string"},"attachments":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Structured attachments; each entry uses media."},"replyTo":{"type":"string"},"threadId":{"type":"string"},"asVoice":{"type":"boolean"},"silent":{"type":"boolean"},"quoteText":{"type":"string","description":"Telegram reply quote text."},"gifPlayback":{"type":"boolean"},"forceDocument":{"type":"boolean","description":"Send image/GIF/video as document; avoids compression."},"asDocument":{"type":"boolean","description":"Alias for forceDocument."},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1}}}},{"name":"node_inference","description":"Discover and run chat-capable Ollama models installed on paired desktop/server nodes. Use action=discover first, then action=run with a node and model from that result. Inference stays on the selected node.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"node":{"type":"string","description":"Connected node id or display name. Required when ambiguous."},"model":{"type":"string","description":"Exact local model name returned by discover."},"prompt":{"type":"string","description":"Prompt for action=run."},"system":{"type":"string","description":"Optional system prompt for action=run."},"temperature":{"type":"number","minimum":0,"maximum":2},"maxTokens":{"type":"integer","minimum":1,"maximum":8192},"timeoutMs":{"type":"integer","minimum":1,"maximum":600000}},"additionalProperties":false}},{"name":"nodes","description":"Discover/control paired nodes: status, describe, pairing, notify, camera/photos/screen/location/notifications/invoke. Use file_fetch for files.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"node":{"type":"string"},"requestId":{"type":"string"},"title":{"type":"string"},"body":{"type":"string"},"sound":{"type":"string"},"priority":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"delivery":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"facing":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"camera_snap: front/back/both; camera_clip: front/back only."},"maxWidth":{"type":"integer","minimum":1},"quality":{"type":"number","minimum":0,"maximum":1},"delayMs":{"type":"integer","minimum":0},"deviceId":{"type":"string"},"limit":{"type":"integer","minimum":1,"maximum":20},"duration":{"type":"string"},"durationMs":{"type":"integer","minimum":1,"maximum":300000},"includeAudio":{"type":"boolean"},"fps":{"type":"number","exclusiveMinimum":0},"screenIndex":{"type":"integer","minimum":0},"outPath":{"type":"string"},"maxAgeMs":{"type":"integer","minimum":0},"locationTimeoutMs":{"type":"integer","minimum":1},"desiredAccuracy":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"notificationAction":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"notificationKey":{"type":"string"},"notificationReplyText":{"type":"string"},"invokeCommand":{"type":"string"},"invokeParamsJson":{"type":"string"},"invokeTimeoutMs":{"type":"integer","minimum":1}}}},{"name":"pdf","description":"Analyze PDFs with model. Anthropic/Google native PDF when supported; else text/image extraction. Use pdf for one, pdfs for max 10; prompt says what to inspect.","parameters":{"type":"object","properties":{"prompt":{"type":"string"},"pdf":{"type":"string","description":"One PDF path/URL."},"pdfs":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"PDF paths/URLs; max 10."},"pages":{"type":"string","description":"Pages, e.g. \"1-5\", \"1,3,5-7\"; default all."},"model":{"type":"string"},"maxBytesMb":{"type":"number","exclusiveMinimum":0}}}},{"name":"process","description":"Manage running exec sessions for commands already started: list, poll, log, write, send-keys, submit, paste, kill. Use poll/log when you need status, logs, quiet-success confirmation, or completion confirmation when automatic completion wake is unavailable. Use poll/log also for input-wait hints. Use write/send-keys/submit/paste/kill for input or intervention. Do not use process polling to emulate timers or reminders; use cron for scheduled follow-ups.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","description":"Process action (list|poll|log|write|send-keys|submit|paste|kill|clear|remove)"},"sessionId":{"type":"string","description":"Session id for actions other than list"},"data":{"type":"string","description":"Data to write for write"},"keys":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Key tokens to send for send-keys"},"hex":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Hex bytes to send for send-keys"},"literal":{"type":"string","description":"Literal string for send-keys"},"text":{"type":"string","description":"Text to paste for paste"},"bracketed":{"type":"boolean","description":"Wrap paste in bracketed mode"},"eof":{"type":"boolean","description":"Close stdin after write"},"offset":{"type":"number","description":"Log offset"},"limit":{"type":"number","description":"Log length"},"timeout":{"type":"number","description":"For poll: wait up to this many milliseconds before returning; max 30000 ms, higher values are clamped to 30000","minimum":0}}}},{"name":"read","description":"Read the contents of a file. Supports text files and images (jpg, png, gif, webp, bmp). Images are sent as attachments. For text files, output is truncated to 2000 lines or 50KB (whichever is hit first). Use offset/limit for large files. When you need the full file, continue with offset until complete.","parameters":{"type":"object","required":["path"],"properties":{"path":{"type":"string","description":"Path to the file to read (relative or absolute)"},"offset":{"type":"number","description":"Line number to start reading from (1-indexed)"},"limit":{"type":"number","description":"Maximum number of lines to read"}}}},{"name":"session_status","description":"Show /status-like card for current/visible session: model, usage, time, cost, tasks. Use `sessionKey=\"current\"` for current session; UI labels like `openclaw-tui` are not keys. `model` sets session override; `model=default` resets. Use for active model/session config questions.","parameters":{"type":"object","properties":{"sessionKey":{"type":"string"},"model":{"type":"string"}}}},{"name":"sessions_history","description":"Fetch sanitized history for visible session. Use before replying, debugging, resuming; supports limit, offset pagination, and tool-message inclusion.","parameters":{"type":"object","required":["sessionKey"],"properties":{"sessionKey":{"type":"string"},"limit":{"type":"integer","minimum":1},"offset":{"type":"integer","minimum":0},"includeTools":{"type":"boolean"}}}},{"name":"sessions_list","description":"List visible sessions; filter by kind, label, agentId, search, activity, archive state. Use before sessions_history or sessions_send target selection.","parameters":{"type":"object","properties":{"kinds":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"limit":{"type":"integer","minimum":1},"activeMinutes":{"type":"integer","minimum":1},"messageLimit":{"type":"integer","minimum":0},"label":{"type":"string","minLength":1},"agentId":{"type":"string","minLength":1,"maxLength":64},"search":{"type":"string","minLength":1},"archived":{"type":"boolean"},"includeDerivedTitles":{"type":"boolean"},"includeLastMessage":{"type":"boolean"}}}},{"name":"sessions_send","description":"Send message to visible session by sessionKey/label, or configured agent by agentId; sessionKey wins when redundant label metadata is present. Thread-scoped chats rejected; target parent channel session. Creates missing configured-agent main session; waits for reply when available.","parameters":{"type":"object","required":["message"],"properties":{"sessionKey":{"type":"string"},"label":{"type":"string","minLength":1,"maxLength":512},"agentId":{"type":"string","minLength":1,"maxLength":64},"message":{"type":"string"},"timeoutSeconds":{"type":"integer","minimum":0}}}},{"name":"sessions_spawn","description":"Spawn clean child session; default `runtime=\"subagent\"`. `mode=\"run\"` one-shot background work. Subagents inherit parent workspace. Native subagents get task in first visible `[Subagent Task]` message. Native only: `context=\"fork\"` only when child needs current transcript; else omit or `isolated`. Use for fresh child-session work. Delegate sidecar/parallel tasks: batch file reads, multi-step searches, data collection. Avoid delegating quick lookups or single-file reads unless policy prefers delegation. After spawning, do non-overlapping work while run-mode results return.","parameters":{"type":"object","required":["task"],"properties":{"task":{"type":"string"},"taskName":{"type":"string","description":"Stable alias for later targeting; lowercase letters/digits/underscores/hyphens, starts letter."},"label":{"type":"string"},"runtime":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"agentId":{"type":"string"},"model":{"type":"string"},"thinking":{"type":"string"},"cwd":{"type":"string"},"mode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"cleanup":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"sandbox":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"context":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Native context. Omit/\"isolated\" for clean child; \"fork\" only when child needs requester transcript."},"lightContext":{"type":"boolean","description":"Light bootstrap context; runtime=\"subagent\" only."},"attachments":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"maxItems":50},"attachAs":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}}}},{"name":"sessions_yield","description":"End current turn. Use after spawning subagents; results arrive as next message.","parameters":{"type":"object","properties":{"message":{"type":"string"}}}},{"name":"skill_workshop","description":"Create, update, revise, list, inspect, apply, reject, or quarantine Skill Workshop proposals when reusable procedures should be captured, improved, or explicitly approved.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"create = new skill; update = existing live skill; revise = existing pending proposal; list/inspect discover pending proposals (not filesystem search); apply/reject/quarantine are explicit lifecycle actions."},"proposal_id":{"type":"string","description":"Existing proposal id for action=inspect, action=revise, action=apply, action=reject, or action=quarantine."},"name":{"type":"string","description":"Skill/proposal name. Required for create; for inspect/revise when proposal_id is unknown, resolves a pending proposal or returns candidates."},"query":{"type":"string","description":"Optional query for action=list."},"status":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Optional proposal status filter for action=list."},"limit":{"type":"integer","minimum":1,"maximum":50,"description":"Maximum proposals to return for action=list. Defaults to 20."},"description":{"type":"string","maxLength":160,"description":"Skill description for create/update/revise; max 160 bytes. On update, concise text shortens the proposal listing entry."},"skill_name":{"type":"string","description":"Existing skill name or key for action=update."},"proposal_content":{"type":"string","description":"Full proposed procedure markdown for action=create, action=update, or action=revise. It will be stored as PROPOSAL.md. Keep under configured skills.workshop.maxSkillBytes; default max is 40000 bytes."},"support_files":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Optional support files to store with the proposal."},"goal":{"type":"string","description":"Proposal or improvement goal."},"evidence":{"type":"string","description":"Short evidence or notes."},"reason":{"type":"string","description":"Optional reason for action=apply, action=reject, or action=quarantine."}},"additionalProperties":false}},{"name":"subagents","description":"List active and recent subagents for the requester session. If sessions_yield exists, use it for completion; do not poll wait loops.","parameters":{"type":"object","properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"recentMinutes":{"type":"integer","minimum":1}}}},{"name":"tts","description":"Use only for explicit audio intent (voice/speech/TTS) or active TTS config. Never use for ordinary text replies. Audio auto-delivered from tool result; after success follow reply instructions, no duplicate text/audio.","parameters":{"type":"object","required":["text"],"properties":{"text":{"type":"string","description":"Text to speak."},"channel":{"type":"string","description":"Channel id; output-format hint."},"timeoutMs":{"type":"integer","description":"Provider timeout ms.","minimum":1}}}},{"name":"update_goal","description":"Mark the current goal complete only when achieved, or blocked only after the same blocking condition recurs for at least three consecutive goal turns. Do not use blocked for ordinary difficulty or missing polish.","parameters":{"type":"object","required":["status"],"properties":{"status":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"complete | blocked."},"note":{"type":"string","description":"Short status note."}}}},{"name":"update_plan","description":"Update current run plan. Use for non-trivial multi-step work; keep plan current while executing. Short steps; max one `in_progress`; skip for simple one-step work.","parameters":{"type":"object","required":["plan"],"properties":{"explanation":{"type":"string","description":"Short note: what changed."},"plan":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"minItems":1,"description":"Ordered steps; max one in_progress."}}}},{"name":"video_generate","description":"Create videos. Session chats: background task; do not call video_generate again for same request; wait completion, then report through the current visible-reply contract with generated media attached using structured media fields. \"status\" checks active task. Duration may round to provider-supported value.","parameters":{"type":"object","properties":{"action":{"type":"string","description":"\"generate\" default, \"status\" active task, \"list\" providers/models."},"prompt":{"type":"string","description":"Video prompt."},"image":{"type":"string","description":"One reference image path/URL."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference images; max 9."},"imageRoles":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"`image` + `images` roles by index after de-dupe. Values: first_frame, last_frame, reference_image; empty string leaves unset."},"video":{"type":"string","description":"One reference video path/URL."},"videos":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference videos; max 4."},"videoRoles":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"`video` + `videos` roles by index after de-dupe. Value: reference_video; empty string leaves unset."},"model":{"type":"string","description":"Provider/model override, e.g. qwen/wan2.6-t2v."},"filename":{"type":"string","description":"Output filename hint; basename preserved in managed media dir."},"size":{"type":"string","description":"Size hint, e.g. 1280x720, 1920x1080."},"aspectRatio":{"type":"string","description":"Aspect ratio: 1:1, 16:9, 9:16, \"adaptive\", or provider value; unsupported normalized/ignored."},"resolution":{"type":"string","description":"Resolution: 360P, 480P, 540P, 720P, 768P, 1080P, 4K, or provider value; unsupported normalized/ignored."},"durationSeconds":{"type":"integer","description":"Target seconds; may round to nearest supported duration.","minimum":1},"audio":{"type":"boolean","description":"Generated-audio toggle."},"watermark":{"type":"boolean","description":"Watermark toggle."},"providerOptions":{"type":"object","patternProperties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Provider JSON options, e.g. {\"seed\":42}. Keys/types must match provider capabilities; mismatch skips candidate. Use action=list for accepted keys."},"timeoutMs":{"type":"integer","description":"Provider timeout ms.","minimum":1}}}},{"name":"write","description":"Write content to a file. Creates the file if it doesn't exist, overwrites if it does. Automatically creates parent directories.","parameters":{"type":"object","required":["path","content"],"properties":{"path":{"type":"string","description":"Path to the file to write (relative or absolute)"},"content":{"type":"string","description":"Content to write to the file"}}}}],"imagesCount":0,"streamStrategy":"boundary-aware:openai-completions","transport":"auto","transcriptLeafId":"57ca5db5"}}
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表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"],"finalPromptText":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","messagesSnapshot":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":[{"type":"text","text":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate"}],"timestamp":1784108782019},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"}]}}
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Use when editing or reviewing\ntext to make it sound more natural and human-written. Based on Wikipedia's\ncomprehensive \"Signs of AI writing\" guide. Detects and fixes patterns including:\ninflated symbolism, promotional language, superficial -ing analyses, vague\nattributions, em dash overuse, rule of three, AI vocabulary words, negative\nparallelisms, and excessive conjunctive phrases.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"imap-smtp-email","name":"imap-smtp-email","description":"Read and send email via IMAP/SMTP. Check for new/unread messages, fetch content, search mailboxes, mark as read/unread, and send emails with attachments. Supports multiple accounts. Works with any IMAP/SMTP server including Gmail, Outlook, 163.com, vip.163.com, 126.com, vip.126.com, 188.com, and vip.188.com.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"meme-maker","name":"meme-maker","description":"Search meme templates, suggest formats, and generate local or hosted image memes.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"multi-search-engine","name":"multi-search-engine","description":"Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"MySQL","name":"MySQL","description":"Write correct MySQL queries with proper character sets, indexing, transactions, and production patterns.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"news-summary","name":"news-summary","description":"This skill should be used when the user asks for news updates, daily briefings, or what's happening in the world. Fetches news from trusted international RSS feeds and can create voice summaries.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"node-connect","name":"node-connect","description":"Diagnose OpenClaw Android, iOS, or macOS node pairing, QR/setup code, route, auth, and connection failures.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"node-inspect-debugger","name":"node-inspect-debugger","description":"Debug Node.js with node inspect, --inspect, breakpoints, CDP, heap, and CPU profiles.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"obsidian-official-cli","name":"obsidian-official-cli","description":"Work with Obsidian vaults using the official Obsidian CLI (v1.12+). Open, search, create, move, and manage notes from the terminal. Use when working with Obsidian vaults for note management, file operations, searching content, managing tasks, properties, links, plugins, themes, sync operations, or any command-line interaction with Obsidian.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"opencode-controller","name":"opencode-controller","description":"Control and operate Opencode via slash commands. Use this skill to manage sessions, select models, switch agents (plan/build), and coordinate coding through Opencode.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"openspec","name":"openspec","description":"Spec-driven development with OpenSpec CLI. Use when building features, migrations, refactors, or any structured development work. Manages proposal → specs → design → tasks → implementation workflows. Supports custom schemas (TDD, rapid, etc.). Trigger on requests involving feature planning, spec writing, change management, or when /opsx commands are mentioned.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/openspec/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/openspec","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/openspec","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/openspec/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"python-debugpy","name":"python-debugpy","description":"Debug Python with pdb, breakpoint(), post-mortem inspection, and debugpy remote attach.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"qiushi-openclaw-skills","name":"qiushi-openclaw-skills","description":"求是 OpenClaw Skills 是基于毛泽东思想方法论的 AI Agent 技能集合，按照 OpenClaw 技能格式进行改造，旨在为 AI 提供系统化的思考和行动框架。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"requirements-analyst","name":"requirements-analyst","description":"将产品需求转化为前后端可执行的技术规范，输出离线性优先的结构化文档。当用户提出产品需求、PRD、功能描述或模糊想法时自动触发。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"rss-ai-reader","name":"rss-ai-reader","description":"📰 RSS AI 阅读器 — 自动抓取订阅、LLM生成摘要、多渠道推送！\n支持 Claude/OpenAI 生成中文摘要，推送到飞书/Telegram/Email。\n触发条件: 用户要求订阅RSS、监控博客、抓取新闻、生成摘要、设置定时抓取、\n\"帮我订阅\"、\"监控这个网站\"、\"每天推送新闻\"、RSS/Atom feed 相关。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"skill-creator","name":"skill-creator","description":"Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"spike","name":"spike","description":"Run throwaway prototypes to validate feasibility, compare approaches, and report a verdict.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"Spreadsheet & Data Wrangling Master","name":"Spreadsheet & Data Wrangling Master","description":"Complete spreadsheet methodology — data cleanup, transformation, analysis, dashboards, automation, and reporting. Works with CSV, Excel, Google Sheets, or any tabular data. Use when the user needs to clean messy data, build reports, create dashboards, automate recurring spreadsheet tasks, or transform data between formats.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"sql-toolkit","name":"sql-toolkit","description":"Query, design, migrate, and optimize SQL databases. Use when working with SQLite, PostgreSQL, or MySQL — schema design, writing queries, creating migrations, indexing, backup/restore, and debugging slow queries. No ORMs required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"taskflow","name":"taskflow","description":"Coordinate multi-step detached tasks as one durable TaskFlow job with owner context, state, waits, and child tasks.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"taskflow-inbox-triage","name":"taskflow-inbox-triage","description":"Example TaskFlow pattern for inbox triage, intent routing, waiting on replies, and later summaries.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"using-superpowers","name":"using-superpowers","description":"Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"weather","name":"weather","description":"Get current weather and forecasts (no API key required).","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/weather/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/weather","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/weather","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/weather/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"web-search","name":"web-search","description":"This skill should be used when users need to search the web for information, find current content, look up news articles, search for images, or find videos. It uses a self-hosted SearXNG instance to return results in clean, formatted output (text, markdown, or JSON). Use for research, fact-checking, finding recent information, or gathering web resources.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/web-search/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/web-search","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/web-search","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/web-search/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true}]},"prompting":{"skillsPrompt":"\n\nThe following skills provide specialized instructions for specific tasks.\nUse the read tool to load a skill's file when the task matches its description.\nIf a skill's <version> differs from a previous turn, re-read its SKILL.md before using it.\nWhen a skill file references a relative path, resolve it against the skill directory (parent of SKILL.md / dirname of the path) and use that absolute path in tool commands.\n\n<available_skills>\n <skill>\n <name>agent-browser</name>\n <description>Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection</description>\n <location>~/.openclaw/workspace/skills/agent-browser-clawdbot/SKILL.md</location>\n <version>sha256:9643b9c65476eedd</version>\n </skill>\n <skill>\n <name>chinese-calendar</name>\n <description>获取中国日历信息，包括节假日、调休安排、工作日判断。使用 timor.tech API，数据每年自动更新。Use when: 需要判断某天是否是工作日、查询节假日安排、了解调休情况。</description>\n <location>~/.openclaw/workspace/skills/chinese-calendar/SKILL.md</location>\n <version>sha256:40a9ba942647e641</version>\n </skill>\n <skill>\n <name>clawhub</name>\n <description>Search ClawHub for skills when a requested capability is not already available; install, verify, update, publish, or sync skills.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/clawhub/SKILL.md</location>\n <version>sha256:6bb70d95cbd1a545</version>\n </skill>\n <skill>\n <name>Code</name>\n <description>Coding workflow with planning, implementation, verification, and testing for clean software development.</description>\n <location>~/.openclaw/workspace/skills/openclaw-code/SKILL.md</location>\n <version>sha256:f09694134cc55cc0</version>\n </skill>\n <skill>\n <name>database-admin</name>\n <description>Comprehensive database administration, schema management, data operations, and optimization. Use when Codex needs to: (1) Create or modify database tables with proper indexing, (2) Perform bulk data insertions with type safety and constraint handling, (3) Execute complex queries with JOINs, aggregations, and subqueries, (4) Optimize query performance through indexing and execution plan analysis, (5) Manage database backups, restores, and migrations, (6) Handle special data types (BIGINT, UUID, JSONB, enums), (7) Implement transactional safety with ACID compliance, or (8) Debug and resolve database errors including constraint violations, type mismatches, and foreign key issues</description>\n <location>~/.openclaw/workspace/skills/database-admin/SKILL.md</location>\n <version>sha256:7649e43727f2fb8b</version>\n </skill>\n <skill>\n <name>database-schema-designer</name>\n <description>Database Schema Designer</description>\n <location>~/.openclaw/workspace/skills/database-schema-designer/SKILL.md</location>\n <version>sha256:3f2282ec8135dfdf</version>\n </skill>\n <skill>\n <name>db-query</name>\n <description>Query project databases with automatic SSH tunnel management. Use when you need to execute SQL queries against configured databases, especially those accessible only via SSH tunnels. Automatically manages SSH connection lifecycle (establishes tunnel before query, closes after). Supports multiple databases distinguished by description/name from config file.</description>\n <location>~/.openclaw/workspace/skills/db-query/SKILL.md</location>\n <version>sha256:eaffe1e617f2b8f2</version>\n </skill>\n <skill>\n <name>db-schema</name>\n <description>Generate database schemas, migrations, and ERD diagrams from plain English descriptions — supports PostgreSQL, MySQL, SQLite, and MongoDB with proper indexes and constraints.</description>\n <location>~/.openclaw/workspace/skills/db-schema-gen/SKILL.md</location>\n <version>sha256:c511ce8bb306f227</version>\n </skill>\n <skill>\n <name>deep-research-pro</name>\n <description>Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.</description>\n <location>~/.openclaw/workspace/skills/deep-research-pro/SKILL.md</location>\n <version>sha256:a780f8bbec442198</version>\n </skill>\n <skill>\n <name>diagram-maker</name>\n <description>Create SVG/HTML or Excalidraw diagrams for concepts, architecture, flows, and whiteboards.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker/SKILL.md</location>\n <version>sha256:6195e03fcb04a1a6</version>\n </skill>\n <skill>\n <name>dingtalk-channel-rules</name>\n <description>钉钉会话输出规则。在钉钉会话中始终生效。</description>\n <location>~/.openclaw/plugin-skills/dingtalk-channel-rules/SKILL.md</location>\n <version>sha256:4abd7ff39fd8ab23</version>\n </skill>\n <skill>\n <name>dingtalk-troubleshoot</name>\n <description>钉钉连接器问题排查。包含 dws CLI 常见错误处理、授权问题排查和连接故障诊断。\n当 dws 命令执行失败、授权异常、连接中断时自动激活。</description>\n <location>~/.openclaw/plugin-skills/dingtalk-troubleshoot/SKILL.md</location>\n <version>sha256:831e1260e77bcf9b</version>\n </skill>\n <skill>\n <name>docker-essentials</name>\n <description>Essential Docker commands and workflows for container management, image operations, and debugging.</description>\n <location>~/.openclaw/workspace/skills/docker-essentials/SKILL.md</location>\n <version>sha256:bf8120febd5275b0</version>\n </skill>\n <skill>\n <name>dws</name>\n <description>管理钉钉产品能力(AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/开放平台文档/钉钉文档/钉钉云盘/AI听记/邮箱/在线电子表格/知识库等)。当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报（钉钉日志模版）、读写钉钉文档、上传下载云盘文件、查询听记纪要、收发邮件、读写在线电子表格(axls)、管理钉钉知识库时使用。</description>\n <location>~/.openclaw/skills/dws/SKILL.md</location>\n <version>sha256:25f131a2e41eeeca</version>\n </skill>\n <skill>\n <name>dws-cli</name>\n <description>在钉钉会话中通过 dws CLI 管理钉钉产品能力（AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/工作台等）。\n当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报时使用。</description>\n <location>~/.openclaw/plugin-skills/dws-cli/SKILL.md</location>\n <version>sha256:e1e0cb89e56c9a8d</version>\n </skill>\n <skill>\n <name>healthcheck</name>\n <description>Audit/harden OpenClaw hosts: SSH, firewall, updates, exposure, backups, disk encryption, gateway security.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck/SKILL.md</location>\n <version>sha256:518ec6e0482cf1c7</version>\n </skill>\n <skill>\n <name>humanizer</name>\n <description>Remove signs of AI-generated writing from text. Use when editing or reviewing\ntext to make it sound more natural and human-written. Based on Wikipedia's\ncomprehensive "Signs of AI writing" guide. Detects and fixes patterns including:\ninflated symbolism, promotional language, superficial -ing analyses, vague\nattributions, em dash overuse, rule of three, AI vocabulary words, negative\nparallelisms, and excessive conjunctive phrases.</description>\n <location>~/.openclaw/workspace/skills/humanizer/SKILL.md</location>\n <version>sha256:d7ce483d368e4301</version>\n </skill>\n <skill>\n <name>imap-smtp-email</name>\n <description>Read and send email via IMAP/SMTP. Check for new/unread messages, fetch content, search mailboxes, mark as read/unread, and send emails with attachments. Supports multiple accounts. Works with any IMAP/SMTP server including Gmail, Outlook, 163.com, vip.163.com, 126.com, vip.126.com, 188.com, and vip.188.com.</description>\n <location>~/.openclaw/workspace/skills/imap-smtp-email/SKILL.md</location>\n <version>sha256:01345a894f2863a4</version>\n </skill>\n <skill>\n <name>meme-maker</name>\n <description>Search meme templates, suggest formats, and generate local or hosted image memes.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md</location>\n <version>sha256:8b8832f9f0f58b16</version>\n </skill>\n <skill>\n <name>multi-search-engine</name>\n <description>Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required.</description>\n <location>~/.openclaw/workspace/skills/multi-search-engine/SKILL.md</location>\n <version>sha256:ef2d2706e82ad0fc</version>\n </skill>\n <skill>\n <name>MySQL</name>\n <description>Write correct MySQL queries with proper character sets, indexing, transactions, and production patterns.</description>\n <location>~/.openclaw/workspace/skills/MySQL/SKILL.md</location>\n <version>sha256:97003e1d9502f459</version>\n </skill>\n <skill>\n <name>news-summary</name>\n <description>This skill should be used when the user asks for news updates, daily briefings, or what's happening in the world. Fetches news from trusted international RSS feeds and can create voice summaries.</description>\n <location>~/.openclaw/workspace/skills/news-summary/SKILL.md</location>\n <version>sha256:1b4c45b56f567567</version>\n </skill>\n <skill>\n <name>node-connect</name>\n <description>Diagnose OpenClaw Android, iOS, or macOS node pairing, QR/setup code, route, auth, and connection failures.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md</location>\n <version>sha256:cc39026fd84e5cfa</version>\n </skill>\n <skill>\n <name>node-inspect-debugger</name>\n <description>Debug Node.js with node inspect, --inspect, breakpoints, CDP, heap, and CPU profiles.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md</location>\n <version>sha256:50d2f6828eaf4bbf</version>\n </skill>\n <skill>\n <name>obsidian-official-cli</name>\n <description>Work with Obsidian vaults using the official Obsidian CLI (v1.12+). Open, search, create, move, and manage notes from the terminal. Use when working with Obsidian vaults for note management, file operations, searching content, managing tasks, properties, links, plugins, themes, sync operations, or any command-line interaction with Obsidian.</description>\n <location>~/.openclaw/workspace/skills/obsidian-official-cli/SKILL.md</location>\n <version>sha256:d9c66873957818a1</version>\n </skill>\n <skill>\n <name>opencode-controller</name>\n <description>Control and operate Opencode via slash commands. Use this skill to manage sessions, select models, switch agents (plan/build), and coordinate coding through Opencode.</description>\n <location>~/.openclaw/workspace/skills/opencode-controller/SKILL.md</location>\n <version>sha256:6535df08ba8b0bbc</version>\n </skill>\n <skill>\n <name>openspec</name>\n <description>Spec-driven development with OpenSpec CLI. Use when building features, migrations, refactors, or any structured development work. Manages proposal → specs → design → tasks → implementation workflows. Supports custom schemas (TDD, rapid, etc.). Trigger on requests involving feature planning, spec writing, change management, or when /opsx commands are mentioned.</description>\n <location>~/.openclaw/workspace/skills/openspec/SKILL.md</location>\n <version>sha256:720f832d1879e281</version>\n </skill>\n <skill>\n <name>python-debugpy</name>\n <description>Debug Python with pdb, breakpoint(), post-mortem inspection, and debugpy remote attach.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md</location>\n <version>sha256:bfb1891204b67260</version>\n </skill>\n <skill>\n <name>qiushi-openclaw-skills</name>\n <description>求是 OpenClaw Skills 是基于毛泽东思想方法论的 AI Agent 技能集合，按照 OpenClaw 技能格式进行改造，旨在为 AI 提供系统化的思考和行动框架。</description>\n <location>~/.openclaw/workspace/skills/qiushi-openclaw-skill/SKILL.md</location>\n <version>sha256:b21d933b7f61584d</version>\n </skill>\n <skill>\n <name>requirements-analyst</name>\n <description>将产品需求转化为前后端可执行的技术规范，输出离线性优先的结构化文档。当用户提出产品需求、PRD、功能描述或模糊想法时自动触发。</description>\n <location>~/.openclaw/workspace/skills/requirements-analyst/SKILL.md</location>\n <version>sha256:f766e6b7b585e7e8</version>\n </skill>\n <skill>\n <name>rss-ai-reader</name>\n <description>📰 RSS AI 阅读器 — 自动抓取订阅、LLM生成摘要、多渠道推送！\n支持 Claude/OpenAI 生成中文摘要，推送到飞书/Telegram/Email。\n触发条件: 用户要求订阅RSS、监控博客、抓取新闻、生成摘要、设置定时抓取、\n"帮我订阅"、"监控这个网站"、"每天推送新闻"、RSS/Atom feed 相关。</description>\n <location>~/.openclaw/workspace/skills/rss-ai-reader/SKILL.md</location>\n <version>sha256:0abcc8438f644cdb</version>\n </skill>\n <skill>\n <name>skill-creator</name>\n <description>Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md</location>\n <version>sha256:d15b25d332d835eb</version>\n </skill>\n <skill>\n <name>spike</name>\n <description>Run throwaway prototypes to validate feasibility, compare approaches, and report a verdict.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md</location>\n <version>sha256:1258cde2d0e53267</version>\n </skill>\n <skill>\n <name>Spreadsheet & Data Wrangling Master</name>\n <description>Complete spreadsheet methodology — data cleanup, transformation, analysis, dashboards, automation, and reporting. Works with CSV, Excel, Google Sheets, or any tabular data. Use when the user needs to clean messy data, build reports, create dashboards, automate recurring spreadsheet tasks, or transform data between formats.</description>\n <location>~/.openclaw/workspace/skills/afrexai-spreadsheet-master/SKILL.md</location>\n <version>sha256:6505a92ae50c1cdd</version>\n </skill>\n <skill>\n <name>sql-toolkit</name>\n <description>Query, design, migrate, and optimize SQL databases. Use when working with SQLite, PostgreSQL, or MySQL — schema design, writing queries, creating migrations, indexing, backup/restore, and debugging slow queries. No ORMs required.</description>\n <location>~/.openclaw/workspace/skills/sql-toolkit/SKILL.md</location>\n <version>sha256:515ecf904449a3cd</version>\n </skill>\n <skill>\n <name>taskflow</name>\n <description>Coordinate multi-step detached tasks as one durable TaskFlow job with owner context, state, waits, and child tasks.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md</location>\n <version>sha256:d8b6a48d329aef0a</version>\n </skill>\n <skill>\n <name>taskflow-inbox-triage</name>\n <description>Example TaskFlow pattern for inbox triage, intent routing, waiting on replies, and later summaries.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md</location>\n <version>sha256:1fe28cd924d8ae2d</version>\n </skill>\n <skill>\n <name>using-superpowers</name>\n <description>Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions</description>\n <location>~/.openclaw/workspace/skills/using-superpowers/SKILL.md</location>\n <version>sha256:81d921b16502091f</version>\n </skill>\n <skill>\n <name>weather</name>\n <description>Get current weather and forecasts (no API key required).</description>\n <location>~/.openclaw/workspace/skills/weather/SKILL.md</location>\n <version>sha256:1ca0c8d768ad603e</version>\n </skill>\n <skill>\n <name>web-search</name>\n <description>This skill should be used when users need to search the web for information, find current content, look up news articles, search for images, or find videos. 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{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","source":"runtime","type":"context.compiled","ts":"2026-07-15T09:58:58.951Z","seq":3,"sourceSeq":17,"sessionId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","sessionKey":"agent:main:dashboard:2fdf88e4-fa3f-46c2-b547-384e2c048b11","runId":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317","workspaceDir":"/home/yangxuan/.openclaw/workspace","provider":"deepseek","modelId":"deepseek-v4-flash","modelApi":"openai-completions","data":{"systemPrompt":{"truncated":true,"reason":"trajectory-field-size-limit","originalChars":39560,"limitChars":32768},"prompt":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate\n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","messages":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"}],"tools":[{"name":"agents_list","description":"List agent ids allowed for `sessions_spawn runtime=\"subagent\"`.","parameters":{"type":"object","properties":{}}},{"name":"apply_patch","description":"Apply a patch to one or more files using the apply_patch format. The input should include *** Begin Patch and *** End Patch markers.","parameters":{"type":"object","required":["input"],"properties":{"input":{"type":"string","description":"Patch content using the *** Begin Patch/End Patch format."}}}},{"name":"create_goal","description":"Create a goal only when explicitly requested by the user or system instructions. Fails if a goal already exists; use user-facing goal controls to clear it.","parameters":{"type":"object","required":["objective"],"properties":{"objective":{"type":"string","description":"Concrete objective to pursue. Create only when explicitly requested."},"token_budget":{"type":"number","description":"Optional positive token budget for this goal."}}}},{"name":"cron","description":"Manage Gateway cron jobs and wake events: reminders, check-back-later, delayed follow-ups, recurring work. Do not emulate scheduling with exec sleep/process polling.\n\nMain cron => system events for heartbeat. Isolated cron => background task in `openclaw tasks`.\n\nACTIONS:\n- status: scheduler status\n- list: compact job summaries; includeDisabled true includes disabled; use get for full job details; agentId filter auto-filled from session\n- get: one job; needs jobId\n- add: create job; needs job object\n- update: patch job; needs jobId + patch\n- remove: delete job; needs jobId\n- run: run only if due by default; needs jobId; pass runMode=\"force\" to trigger now\n- runs: run history; needs jobId\n- wake: send wake event; needs text, optional mode; defaults the target to the calling session/agent. Pass top-level sessionKey/agentId to wake a different lane owned by the calling agent.\n\nJOB SCHEMA (for add action):\n{\n \"name\": \"string\",\n \"schedule\": { ... }, // required\n \"trigger\": { \"script\": \"...\", \"once\": false }, // optional condition gate for every/cron\n \"payload\": { ... }, // required\n \"delivery\": { ... }, // optional announce for isolated/current/session, webhook for any target\n \"sessionTarget\": \"main\" | \"isolated\" | \"current\" | \"session:<id>\",\n \"enabled\": true | false // default true\n}\n\nSESSION TARGET OPTIONS:\n- \"main\": main session; requires payload.kind=\"systemEvent\"\n- \"isolated\": ephemeral isolated session; requires payload.kind=\"agentTurn\"\n- \"current\": bind current session at creation\n- \"session:<id>\": persistent named session\n\nDEFAULTS:\n- payload.kind=\"systemEvent\" → defaults to \"main\"\n- payload.kind=\"agentTurn\" → defaults to \"isolated\"\nCurrent binding needs sessionTarget=\"current\".\n\nSCHEDULE TYPES (schedule.kind):\n- \"at\": one-shot absolute time\n { \"kind\": \"at\", \"at\": \"<ISO-8601 timestamp>\" }\n- \"every\": recurring interval\n { \"kind\": \"every\", \"everyMs\": <ms>, \"anchorMs\": <optional-ms> }\n- \"cron\": expr in supplied timezone, or Gateway host local timezone when tz omitted\n { \"kind\": \"cron\", \"expr\": \"<cron-expression>\", \"tz\": \"<optional-IANA-timezone>\" }\n Write expr in local wall-clock time; do not convert the requested local time to UTC first.\n tz omitted => Gateway host local timezone, not UTC.\n Example 6pm Shanghai daily: { \"kind\": \"cron\", \"expr\": \"0 18 * * *\", \"tz\": \"Asia/Shanghai\" }\n\nOptional trigger scripts poll headlessly on every/cron schedules and run the payload only when they return { fire: true }.\n\nFor \"at\", ISO timestamps without timezone are UTC.\n\nPAYLOAD TYPES (payload.kind):\n- \"systemEvent\": inject text as system event\n { \"kind\": \"systemEvent\", \"text\": \"<message>\" }\n- \"agentTurn\": run agent with prompt; isolated/current/session only\n { \"kind\": \"agentTurn\", \"message\": \"<prompt>\", \"model\": \"<optional>\", \"thinking\": \"<optional>\", \"timeoutSeconds\": <optional, 0=no timeout> }\n\nDELIVERY (top-level):\n { \"mode\": \"none|announce|webhook\", \"channel\": \"<optional>\", \"to\": \"<optional>\", \"threadId\": \"<optional>\", \"bestEffort\": <optional-bool> }\n - isolated agentTurn default when omitted: \"announce\"\n - announce: send to chat channel; isolated/current/session only; optional channel/to\n - threadId: chat thread/topic id\n - webhook: POST finished-run event to delivery.to URL\n - Specific chat/recipient: set announce delivery.channel/to; do not call messaging tools inside run.\n\nCRITICAL CONSTRAINTS:\n- sessionTarget=\"main\" REQUIRES payload.kind=\"systemEvent\"\n- sessionTarget=\"isolated\" | \"current\" | \"session:xxx\" REQUIRES payload.kind=\"agentTurn\"\n- Webhook: delivery.mode=\"webhook\" and delivery.to URL.\nDefault: prefer isolated agentTurn jobs unless the user explicitly wants current-session binding.\n\nRESTRICTED CRON RUNS:\n- Some isolated cron runs get narrow self-cleanup grant: status/list self-only, get/runs current job only, mutation only remove current job.\n\nWAKE MODES (for wake action):\n- \"next-heartbeat\" default: wake next heartbeat\n- \"now\": wake immediately\n\nUse jobId canonical; id accepted compat. contextMessages (0-10) adds previous messages as job context.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"includeDisabled":{"type":"boolean"},"job":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"additionalProperties":true},"jobId":{"type":"string"},"id":{"type":"string"},"patch":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"additionalProperties":true},"text":{"type":"string"},"mode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"runMode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Run mode for action=\"run\": omitted defaults to \"due\"; use \"force\" to trigger now."},"contextMessages":{"type":"integer","minimum":0,"maximum":10},"agentId":{"type":"string","description":"List filter for `action: \"list\"`; wake target override for `action: \"wake\"` (defaults to the calling agent when omitted on wake)"},"sessionKey":{"type":"string","description":"Wake target override for `action: \"wake\"`: route the event to another session owned by the calling agent. Defaults to the resolved calling-session key when omitted."}},"additionalProperties":true}},{"name":"edit","description":"Edit a single file using exact text replacement. Every edits[].oldText must match a unique, non-overlapping region of the original file. If two changes affect the same block or nearby lines, merge them into one edit instead of emitting overlapping edits. Do not include large unchanged regions just to connect distant changes.","parameters":{"type":"object","required":["path","edits"],"properties":{"path":{"type":"string","description":"Path to the file to edit (relative or absolute)"},"edits":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"One or more targeted replacements. Each edit is matched against the original file, not incrementally. Do not include overlapping or nested edits. If two changes touch the same block or nearby lines, merge them into one edit instead."}},"additionalProperties":false}},{"name":"exec","description":"Execute shell commands with background continuation for work that starts now. Use yieldMs/background to continue later via process tool. For long-running work started now, rely on automatic completion wake when it is enabled and the command emits output or fails; otherwise use process to confirm completion. Use process whenever you need logs, status, input, or intervention. Do not use exec sleep or delay loops for reminders or deferred follow-ups; use cron instead. Use pty=true for TTY-required commands (terminal UIs, coding agents).","parameters":{"type":"object","required":["command"],"properties":{"command":{"type":"string","description":"Shell command to execute"},"workdir":{"type":"string","description":"Working directory. Blank/whitespace values are invalid; omit to use the default cwd."},"env":{"type":"object","patternProperties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"yieldMs":{"type":"number","description":"Milliseconds to wait before backgrounding (default 10000)"},"background":{"type":"boolean","description":"Run in background immediately"},"timeout":{"type":"number","description":"Timeout in seconds (optional, kills process on expiry)"},"pty":{"type":"boolean","description":"Run in a pseudo-terminal (PTY) when available (TTY-required CLIs, coding agents)"},"elevated":{"type":"boolean","description":"Run on the host with elevated permissions (if allowed)"},"host":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Exec host/target (auto|sandbox|gateway|node)."},"security":{"type":"string","description":"Ignored for normal calls; exec security is set by tools.exec.security and host approvals."},"ask":{"type":"string","description":"Baseline ask comes from tools.exec.ask and host approvals; channel-origin calls ignore per-call ask when effective host ask is off."},"node":{"type":"string","description":"Node id/name for host=node."}}}},{"name":"gateway","description":"Gateway restart/config/update. Before config edits, use config.schema.lookup with targeted dot path. Prefer config.patch for partial merge; config.apply only full replace. For config.patch that intentionally removes array entries, pass replacePaths with the exact affected array path. Writes hot-reload or restart as needed. Always pass human `note` for post-restart delivery. If post-restart work must continue internally, pass one-shot `continuationMessage`; visible follow-up from that turn must use the message tool. Do not write restart sentinel files directly.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"delayMs":{"type":"integer","minimum":0},"reason":{"type":"string"},"continuationMessage":{"type":"string"},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"path":{"type":"string"},"raw":{"type":"string"},"baseHash":{"type":"string"},"replacePaths":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"maxItems":256},"sessionKey":{"type":"string"},"note":{"type":"string"},"restartDelayMs":{"type":"integer","minimum":0}}}},{"name":"get_goal","description":"Get the current goal for this thread, including status and token usage.","parameters":{"type":"object","properties":{}}},{"name":"image","description":"Analyze images with available vision model. Use image for one path/URL, images for max 20. Prompt says what to inspect.","parameters":{"type":"object","properties":{"prompt":{"type":"string"},"image":{"type":"string","description":"One image path/URL."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Image paths/URLs; maxImages default 20."},"model":{"type":"string"},"maxBytesMb":{"type":"number","exclusiveMinimum":0},"maxImages":{"type":"integer","minimum":1}}}},{"name":"image_generate","description":"Create/edit images. Session chats: background task; do not call image_generate again for same request; wait completion, then report through the current visible-reply contract with generated media attached using structured media fields. Transparent: outputFormat=\"png\" or \"webp\" + background=\"transparent\"; OpenAI also supports openai.background and routes default model to gpt-image-1.5. Use action=\"list\" for providers/models/readiness/auth, \"status\" for active task.","parameters":{"type":"object","properties":{"action":{"type":"string","description":"\"generate\" default, \"status\" active task, \"list\" providers/models."},"prompt":{"type":"string","description":"Image prompt."},"image":{"type":"string","description":"Reference image path/URL for edit."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference images for edit or style reference; max 14."},"model":{"type":"string","description":"Provider/model override, e.g. openai/gpt-image-2; transparent OpenAI: openai/gpt-image-1.5."},"filename":{"type":"string","description":"Output filename hint; basename preserved in managed media dir."},"size":{"type":"string","description":"Size hint: 1024x1024, 1536x1024, 1024x1536, 2048x2048, 3840x2160."},"aspectRatio":{"type":"string","description":"Aspect ratio: 1:1, 2:1, 20:9, 19.5:9, 2:3, 3:2, 2.35:1, 3:4, 4:3, 4:5, 5:4, 9:16, 9:19.5, 9:20, 16:9, 21:9, 1:2, 4:1, 1:4, 8:1, 1:8."},"resolution":{"type":"string","description":"Resolution: 1K, 2K, 4K; useful for Google."},"quality":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Quality: low, medium, high, auto."},"outputFormat":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Output format: png, jpeg, webp."},"background":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Background: transparent, opaque, auto. Transparent needs png/webp output."},"openai":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"fal":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"count":{"type":"integer","description":"Image count 1-4.","minimum":1,"maximum":4},"timeoutMs":{"type":"integer","description":"Provider timeout ms (300000 tends to be a safe amount).","minimum":1}}}},{"name":"memory_get","description":"Safe exact excerpt read from MEMORY.md or memory/*.md. Defaults to a bounded excerpt when lines are omitted, includes truncation/continuation info when more content exists, and `corpus=wiki` reads from registered compiled-wiki supplements.","parameters":{"type":"object","properties":{"path":{"type":"string"},"from":{"type":"integer","minimum":1},"lines":{"type":"integer","minimum":1},"corpus":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}},"required":["path"],"additionalProperties":false}},{"name":"memory_search","description":"Mandatory recall step: semantically search MEMORY.md + memory/*.md (and optional session transcripts) before answering questions about prior work, decisions, dates, people, preferences, or todos. Optional `corpus=wiki` or `corpus=all` also searches registered compiled-wiki supplements. `corpus=memory` restricts hits to indexed memory files (excludes session transcript chunks from ranking). `corpus=sessions` restricts hits to indexed session transcripts (same visibility rules as session history tools). If response has disabled=true, memory retrieval is unavailable and should be surfaced to the user.","parameters":{"type":"object","properties":{"query":{"type":"string"},"maxResults":{"type":"integer","minimum":1},"minScore":{"type":"number"},"corpus":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}},"required":["query"],"additionalProperties":false}},{"name":"message","description":"Send/delete/manage channel messages. Supports actions: send.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"channel":{"type":"string"},"target":{"type":"string","description":"Recipient/channel: E.164 for WhatsApp/Signal, Telegram chat id/@username, Discord/Slack/Mattermost <channelId|user:ID|channel:ID>, or iMessage handle/chat_id"},"targets":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"accountId":{"type":"string"},"dryRun":{"type":"boolean"},"message":{"type":"string"},"effectId":{"type":"string","description":"Effect id/name for sendWithEffect."},"effect":{"type":"string","description":"Alias for effectId."},"media":{"type":"string","description":"Media URL/path. data: use buffer."},"filename":{"type":"string"},"buffer":{"type":"string","description":"Base64 attachment payload; data URL ok."},"contentType":{"type":"string"},"mimeType":{"type":"string"},"caption":{"type":"string"},"attachments":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Structured attachments; each entry uses media."},"replyTo":{"type":"string"},"threadId":{"type":"string"},"asVoice":{"type":"boolean"},"silent":{"type":"boolean"},"quoteText":{"type":"string","description":"Telegram reply quote text."},"gifPlayback":{"type":"boolean"},"forceDocument":{"type":"boolean","description":"Send image/GIF/video as document; avoids compression."},"asDocument":{"type":"boolean","description":"Alias for forceDocument."},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1}}}},{"name":"node_inference","description":"Discover and run chat-capable Ollama models installed on paired desktop/server nodes. Use action=discover first, then action=run with a node and model from that result. Inference stays on the selected node.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"node":{"type":"string","description":"Connected node id or display name. Required when ambiguous."},"model":{"type":"string","description":"Exact local model name returned by discover."},"prompt":{"type":"string","description":"Prompt for action=run."},"system":{"type":"string","description":"Optional system prompt for action=run."},"temperature":{"type":"number","minimum":0,"maximum":2},"maxTokens":{"type":"integer","minimum":1,"maximum":8192},"timeoutMs":{"type":"integer","minimum":1,"maximum":600000}},"additionalProperties":false}},{"name":"nodes","description":"Discover/control paired nodes: status, describe, pairing, notify, camera/photos/screen/location/notifications/invoke. Use file_fetch for files.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"node":{"type":"string"},"requestId":{"type":"string"},"title":{"type":"string"},"body":{"type":"string"},"sound":{"type":"string"},"priority":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"delivery":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"facing":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"camera_snap: front/back/both; camera_clip: front/back only."},"maxWidth":{"type":"integer","minimum":1},"quality":{"type":"number","minimum":0,"maximum":1},"delayMs":{"type":"integer","minimum":0},"deviceId":{"type":"string"},"limit":{"type":"integer","minimum":1,"maximum":20},"duration":{"type":"string"},"durationMs":{"type":"integer","minimum":1,"maximum":300000},"includeAudio":{"type":"boolean"},"fps":{"type":"number","exclusiveMinimum":0},"screenIndex":{"type":"integer","minimum":0},"outPath":{"type":"string"},"maxAgeMs":{"type":"integer","minimum":0},"locationTimeoutMs":{"type":"integer","minimum":1},"desiredAccuracy":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"notificationAction":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"notificationKey":{"type":"string"},"notificationReplyText":{"type":"string"},"invokeCommand":{"type":"string"},"invokeParamsJson":{"type":"string"},"invokeTimeoutMs":{"type":"integer","minimum":1}}}},{"name":"pdf","description":"Analyze PDFs with model. Anthropic/Google native PDF when supported; else text/image extraction. Use pdf for one, pdfs for max 10; prompt says what to inspect.","parameters":{"type":"object","properties":{"prompt":{"type":"string"},"pdf":{"type":"string","description":"One PDF path/URL."},"pdfs":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"PDF paths/URLs; max 10."},"pages":{"type":"string","description":"Pages, e.g. \"1-5\", \"1,3,5-7\"; default all."},"model":{"type":"string"},"maxBytesMb":{"type":"number","exclusiveMinimum":0}}}},{"name":"process","description":"Manage running exec sessions for commands already started: list, poll, log, write, send-keys, submit, paste, kill. Use poll/log when you need status, logs, quiet-success confirmation, or completion confirmation when automatic completion wake is unavailable. Use poll/log also for input-wait hints. Use write/send-keys/submit/paste/kill for input or intervention. Do not use process polling to emulate timers or reminders; use cron for scheduled follow-ups.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","description":"Process action (list|poll|log|write|send-keys|submit|paste|kill|clear|remove)"},"sessionId":{"type":"string","description":"Session id for actions other than list"},"data":{"type":"string","description":"Data to write for write"},"keys":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Key tokens to send for send-keys"},"hex":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Hex bytes to send for send-keys"},"literal":{"type":"string","description":"Literal string for send-keys"},"text":{"type":"string","description":"Text to paste for paste"},"bracketed":{"type":"boolean","description":"Wrap paste in bracketed mode"},"eof":{"type":"boolean","description":"Close stdin after write"},"offset":{"type":"number","description":"Log offset"},"limit":{"type":"number","description":"Log length"},"timeout":{"type":"number","description":"For poll: wait up to this many milliseconds before returning; max 30000 ms, higher values are clamped to 30000","minimum":0}}}},{"name":"read","description":"Read the contents of a file. Supports text files and images (jpg, png, gif, webp, bmp). Images are sent as attachments. For text files, output is truncated to 2000 lines or 50KB (whichever is hit first). Use offset/limit for large files. When you need the full file, continue with offset until complete.","parameters":{"type":"object","required":["path"],"properties":{"path":{"type":"string","description":"Path to the file to read (relative or absolute)"},"offset":{"type":"number","description":"Line number to start reading from (1-indexed)"},"limit":{"type":"number","description":"Maximum number of lines to read"}}}},{"name":"session_status","description":"Show /status-like card for current/visible session: model, usage, time, cost, tasks. Use `sessionKey=\"current\"` for current session; UI labels like `openclaw-tui` are not keys. `model` sets session override; `model=default` resets. Use for active model/session config questions.","parameters":{"type":"object","properties":{"sessionKey":{"type":"string"},"model":{"type":"string"}}}},{"name":"sessions_history","description":"Fetch sanitized history for visible session. Use before replying, debugging, resuming; supports limit, offset pagination, and tool-message inclusion.","parameters":{"type":"object","required":["sessionKey"],"properties":{"sessionKey":{"type":"string"},"limit":{"type":"integer","minimum":1},"offset":{"type":"integer","minimum":0},"includeTools":{"type":"boolean"}}}},{"name":"sessions_list","description":"List visible sessions; filter by kind, label, agentId, search, activity, archive state. Use before sessions_history or sessions_send target selection.","parameters":{"type":"object","properties":{"kinds":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"limit":{"type":"integer","minimum":1},"activeMinutes":{"type":"integer","minimum":1},"messageLimit":{"type":"integer","minimum":0},"label":{"type":"string","minLength":1},"agentId":{"type":"string","minLength":1,"maxLength":64},"search":{"type":"string","minLength":1},"archived":{"type":"boolean"},"includeDerivedTitles":{"type":"boolean"},"includeLastMessage":{"type":"boolean"}}}},{"name":"sessions_send","description":"Send message to visible session by sessionKey/label, or configured agent by agentId; sessionKey wins when redundant label metadata is present. Thread-scoped chats rejected; target parent channel session. Creates missing configured-agent main session; waits for reply when available.","parameters":{"type":"object","required":["message"],"properties":{"sessionKey":{"type":"string"},"label":{"type":"string","minLength":1,"maxLength":512},"agentId":{"type":"string","minLength":1,"maxLength":64},"message":{"type":"string"},"timeoutSeconds":{"type":"integer","minimum":0}}}},{"name":"sessions_spawn","description":"Spawn clean child session; default `runtime=\"subagent\"`. `mode=\"run\"` one-shot background work. Subagents inherit parent workspace. Native subagents get task in first visible `[Subagent Task]` message. Native only: `context=\"fork\"` only when child needs current transcript; else omit or `isolated`. Use for fresh child-session work. Delegate sidecar/parallel tasks: batch file reads, multi-step searches, data collection. Avoid delegating quick lookups or single-file reads unless policy prefers delegation. After spawning, do non-overlapping work while run-mode results return.","parameters":{"type":"object","required":["task"],"properties":{"task":{"type":"string"},"taskName":{"type":"string","description":"Stable alias for later targeting; lowercase letters/digits/underscores/hyphens, starts letter."},"label":{"type":"string"},"runtime":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"agentId":{"type":"string"},"model":{"type":"string"},"thinking":{"type":"string"},"cwd":{"type":"string"},"mode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"cleanup":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"sandbox":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"context":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Native context. Omit/\"isolated\" for clean child; \"fork\" only when child needs requester transcript."},"lightContext":{"type":"boolean","description":"Light bootstrap context; runtime=\"subagent\" only."},"attachments":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"maxItems":50},"attachAs":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}}}},{"name":"sessions_yield","description":"End current turn. Use after spawning subagents; results arrive as next message.","parameters":{"type":"object","properties":{"message":{"type":"string"}}}},{"name":"skill_workshop","description":"Create, update, revise, list, inspect, apply, reject, or quarantine Skill Workshop proposals when reusable procedures should be captured, improved, or explicitly approved.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"create = new skill; update = existing live skill; revise = existing pending proposal; list/inspect discover pending proposals (not filesystem search); apply/reject/quarantine are explicit lifecycle actions."},"proposal_id":{"type":"string","description":"Existing proposal id for action=inspect, action=revise, action=apply, action=reject, or action=quarantine."},"name":{"type":"string","description":"Skill/proposal name. Required for create; for inspect/revise when proposal_id is unknown, resolves a pending proposal or returns candidates."},"query":{"type":"string","description":"Optional query for action=list."},"status":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Optional proposal status filter for action=list."},"limit":{"type":"integer","minimum":1,"maximum":50,"description":"Maximum proposals to return for action=list. Defaults to 20."},"description":{"type":"string","maxLength":160,"description":"Skill description for create/update/revise; max 160 bytes. On update, concise text shortens the proposal listing entry."},"skill_name":{"type":"string","description":"Existing skill name or key for action=update."},"proposal_content":{"type":"string","description":"Full proposed procedure markdown for action=create, action=update, or action=revise. It will be stored as PROPOSAL.md. Keep under configured skills.workshop.maxSkillBytes; default max is 40000 bytes."},"support_files":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Optional support files to store with the proposal."},"goal":{"type":"string","description":"Proposal or improvement goal."},"evidence":{"type":"string","description":"Short evidence or notes."},"reason":{"type":"string","description":"Optional reason for action=apply, action=reject, or action=quarantine."}},"additionalProperties":false}},{"name":"subagents","description":"List active and recent subagents for the requester session. If sessions_yield exists, use it for completion; do not poll wait loops.","parameters":{"type":"object","properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"recentMinutes":{"type":"integer","minimum":1}}}},{"name":"tts","description":"Use only for explicit audio intent (voice/speech/TTS) or active TTS config. Never use for ordinary text replies. Audio auto-delivered from tool result; after success follow reply instructions, no duplicate text/audio.","parameters":{"type":"object","required":["text"],"properties":{"text":{"type":"string","description":"Text to speak."},"channel":{"type":"string","description":"Channel id; output-format hint."},"timeoutMs":{"type":"integer","description":"Provider timeout ms.","minimum":1}}}},{"name":"update_goal","description":"Mark the current goal complete only when achieved, or blocked only after the same blocking condition recurs for at least three consecutive goal turns. Do not use blocked for ordinary difficulty or missing polish.","parameters":{"type":"object","required":["status"],"properties":{"status":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"complete | blocked."},"note":{"type":"string","description":"Short status note."}}}},{"name":"update_plan","description":"Update current run plan. Use for non-trivial multi-step work; keep plan current while executing. Short steps; max one `in_progress`; skip for simple one-step work.","parameters":{"type":"object","required":["plan"],"properties":{"explanation":{"type":"string","description":"Short note: what changed."},"plan":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"minItems":1,"description":"Ordered steps; max one in_progress."}}}},{"name":"video_generate","description":"Create videos. Session chats: background task; do not call video_generate again for same request; wait completion, then report through the current visible-reply contract with generated media attached using structured media fields. \"status\" checks active task. Duration may round to provider-supported value.","parameters":{"type":"object","properties":{"action":{"type":"string","description":"\"generate\" default, \"status\" active task, \"list\" providers/models."},"prompt":{"type":"string","description":"Video prompt."},"image":{"type":"string","description":"One reference image path/URL."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference images; max 9."},"imageRoles":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"`image` + `images` roles by index after de-dupe. Values: first_frame, last_frame, reference_image; empty string leaves unset."},"video":{"type":"string","description":"One reference video path/URL."},"videos":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference videos; max 4."},"videoRoles":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"`video` + `videos` roles by index after de-dupe. Value: reference_video; empty string leaves unset."},"model":{"type":"string","description":"Provider/model override, e.g. qwen/wan2.6-t2v."},"filename":{"type":"string","description":"Output filename hint; basename preserved in managed media dir."},"size":{"type":"string","description":"Size hint, e.g. 1280x720, 1920x1080."},"aspectRatio":{"type":"string","description":"Aspect ratio: 1:1, 16:9, 9:16, \"adaptive\", or provider value; unsupported normalized/ignored."},"resolution":{"type":"string","description":"Resolution: 360P, 480P, 540P, 720P, 768P, 1080P, 4K, or provider value; unsupported normalized/ignored."},"durationSeconds":{"type":"integer","description":"Target seconds; may round to nearest supported duration.","minimum":1},"audio":{"type":"boolean","description":"Generated-audio toggle."},"watermark":{"type":"boolean","description":"Watermark toggle."},"providerOptions":{"type":"object","patternProperties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Provider JSON options, e.g. {\"seed\":42}. Keys/types must match provider capabilities; mismatch skips candidate. Use action=list for accepted keys."},"timeoutMs":{"type":"integer","description":"Provider timeout ms.","minimum":1}}}},{"name":"write","description":"Write content to a file. Creates the file if it doesn't exist, overwrites if it does. Automatically creates parent directories.","parameters":{"type":"object","required":["path","content"],"properties":{"path":{"type":"string","description":"Path to the file to write (relative or absolute)"},"content":{"type":"string","description":"Content to write to the file"}}}}],"imagesCount":0,"streamStrategy":"boundary-aware:openai-completions","transport":"auto","transcriptLeafId":"469aad6e"}}
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{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","source":"runtime","type":"prompt.submitted","ts":"2026-07-15T09:58:58.981Z","seq":4,"sourceSeq":18,"sessionId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","sessionKey":"agent:main:dashboard:2fdf88e4-fa3f-46c2-b547-384e2c048b11","runId":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317","workspaceDir":"/home/yangxuan/.openclaw/workspace","provider":"deepseek","modelId":"deepseek-v4-flash","modelApi":"openai-completions","data":{"prompt":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate\n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","systemPrompt":{"truncated":true,"reason":"trajectory-field-size-limit","originalChars":39560,"limitChars":32768},"messages":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"}],"imagesCount":0}}
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{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","source":"runtime","type":"model.completed","ts":"2026-07-15T09:59:04.670Z","seq":5,"sourceSeq":19,"sessionId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","sessionKey":"agent:main:dashboard:2fdf88e4-fa3f-46c2-b547-384e2c048b11","runId":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317","workspaceDir":"/home/yangxuan/.openclaw/workspace","provider":"deepseek","modelId":"deepseek-v4-flash","modelApi":"openai-completions","data":{"aborted":false,"externalAbort":false,"timedOut":false,"idleTimedOut":false,"timedOutDuringCompaction":false,"timedOutDuringToolExecution":false,"timedOutByRunBudget":false,"promptErrorSource":null,"usage":{"input":322,"output":800,"cacheRead":26624,"total":27746},"promptCache":{"lastCallUsage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"total":27746},"lastCacheTouchAt":1784109539013},"compactionCount":0,"assistantTexts":["明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"],"finalPromptText":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate\n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","messagesSnapshot":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":[{"type":"text","text":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate\n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid"}],"timestamp":1784109538984},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"}]}}
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Use when Codex needs to: (1) Create or modify database tables with proper indexing, (2) Perform bulk data insertions with type safety and constraint handling, (3) Execute complex queries with JOINs, aggregations, and subqueries, (4) Optimize query performance through indexing and execution plan analysis, (5) Manage database backups, restores, and migrations, (6) Handle special data types (BIGINT, UUID, JSONB, enums), (7) Implement transactional safety with ACID compliance, or (8) Debug and resolve database errors including constraint violations, type mismatches, and foreign key issues","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/database-admin/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/database-admin","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/database-admin","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/database-admin/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"database-schema-designer","name":"database-schema-designer","description":"Database Schema Designer","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/database-schema-designer/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/database-schema-designer","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/database-schema-designer","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/database-schema-designer/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"db-query","name":"db-query","description":"Query project databases with automatic SSH tunnel management. Use when you need to execute SQL queries against configured databases, especially those accessible only via SSH tunnels. Automatically manages SSH connection lifecycle (establishes tunnel before query, closes after). Supports multiple databases distinguished by description/name from config file.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/db-query/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/db-query","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/db-query","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/db-query/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"db-schema","name":"db-schema","description":"Generate database schemas, migrations, and ERD diagrams from plain English descriptions — supports PostgreSQL, MySQL, SQLite, and MongoDB with proper indexes and constraints.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/db-schema-gen/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/db-schema-gen","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/db-schema-gen","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/db-schema-gen/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"deep-research-pro","name":"deep-research-pro","description":"Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/deep-research-pro/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/deep-research-pro","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/deep-research-pro","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/deep-research-pro/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"diagram-maker","name":"diagram-maker","description":"Create SVG/HTML or Excalidraw diagrams for concepts, architecture, flows, and whiteboards.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"dingtalk-channel-rules","name":"dingtalk-channel-rules","description":"钉钉会话输出规则。在钉钉会话中始终生效。","filePath":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-channel-rules/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-channel-rules","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-channel-rules","origin":"top-level","path":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-channel-rules/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"dingtalk-troubleshoot","name":"dingtalk-troubleshoot","description":"钉钉连接器问题排查。包含 dws CLI 常见错误处理、授权问题排查和连接故障诊断。\n当 dws 命令执行失败、授权异常、连接中断时自动激活。","filePath":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-troubleshoot/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-troubleshoot","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-troubleshoot","origin":"top-level","path":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-troubleshoot/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"docker-essentials","name":"docker-essentials","description":"Essential Docker commands and workflows for container management, image operations, and debugging.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/docker-essentials/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/docker-essentials","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/docker-essentials","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/docker-essentials/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"dws","name":"dws","description":"管理钉钉产品能力(AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/开放平台文档/钉钉文档/钉钉云盘/AI听记/邮箱/在线电子表格/知识库等)。当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报（钉钉日志模版）、读写钉钉文档、上传下载云盘文件、查询听记纪要、收发邮件、读写在线电子表格(axls)、管理钉钉知识库时使用。","filePath":"$OPENCLAW_STATE_DIR/skills/dws/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/skills/dws","source":"openclaw-managed","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/skills/dws","origin":"top-level","path":"$OPENCLAW_STATE_DIR/skills/dws/SKILL.md","scope":"project","source":"openclaw-managed"},"disableModelInvocation":false,"available":true},{"id":"dws-cli","name":"dws-cli","description":"在钉钉会话中通过 dws CLI 管理钉钉产品能力（AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/工作台等）。\n当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报时使用。","filePath":"$OPENCLAW_STATE_DIR/plugin-skills/dws-cli/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dws-cli","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dws-cli","origin":"top-level","path":"$OPENCLAW_STATE_DIR/plugin-skills/dws-cli/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"healthcheck","name":"healthcheck","description":"Audit/harden OpenClaw hosts: SSH, firewall, updates, exposure, backups, disk encryption, gateway security.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"humanizer","name":"humanizer","description":"Remove signs of AI-generated writing from text. Use when editing or reviewing\ntext to make it sound more natural and human-written. Based on Wikipedia's\ncomprehensive \"Signs of AI writing\" guide. Detects and fixes patterns including:\ninflated symbolism, promotional language, superficial -ing analyses, vague\nattributions, em dash overuse, rule of three, AI vocabulary words, negative\nparallelisms, and excessive conjunctive phrases.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"imap-smtp-email","name":"imap-smtp-email","description":"Read and send email via IMAP/SMTP. Check for new/unread messages, fetch content, search mailboxes, mark as read/unread, and send emails with attachments. Supports multiple accounts. Works with any IMAP/SMTP server including Gmail, Outlook, 163.com, vip.163.com, 126.com, vip.126.com, 188.com, and vip.188.com.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"meme-maker","name":"meme-maker","description":"Search meme templates, suggest formats, and generate local or hosted image memes.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"multi-search-engine","name":"multi-search-engine","description":"Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"MySQL","name":"MySQL","description":"Write correct MySQL queries with proper character sets, indexing, transactions, and production patterns.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"news-summary","name":"news-summary","description":"This skill should be used when the user asks for news updates, daily briefings, or what's happening in the world. Fetches news from trusted international RSS feeds and can create voice summaries.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"node-connect","name":"node-connect","description":"Diagnose OpenClaw Android, iOS, or macOS node pairing, QR/setup code, route, auth, and connection failures.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"node-inspect-debugger","name":"node-inspect-debugger","description":"Debug Node.js with node inspect, --inspect, breakpoints, CDP, heap, and CPU profiles.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"obsidian-official-cli","name":"obsidian-official-cli","description":"Work with Obsidian vaults using the official Obsidian CLI (v1.12+). Open, search, create, move, and manage notes from the terminal. Use when working with Obsidian vaults for note management, file operations, searching content, managing tasks, properties, links, plugins, themes, sync operations, or any command-line interaction with Obsidian.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"opencode-controller","name":"opencode-controller","description":"Control and operate Opencode via slash commands. Use this skill to manage sessions, select models, switch agents (plan/build), and coordinate coding through Opencode.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"openspec","name":"openspec","description":"Spec-driven development with OpenSpec CLI. Use when building features, migrations, refactors, or any structured development work. Manages proposal → specs → design → tasks → implementation workflows. Supports custom schemas (TDD, rapid, etc.). Trigger on requests involving feature planning, spec writing, change management, or when /opsx commands are mentioned.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/openspec/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/openspec","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/openspec","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/openspec/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"python-debugpy","name":"python-debugpy","description":"Debug Python with pdb, breakpoint(), post-mortem inspection, and debugpy remote attach.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"qiushi-openclaw-skills","name":"qiushi-openclaw-skills","description":"求是 OpenClaw Skills 是基于毛泽东思想方法论的 AI Agent 技能集合，按照 OpenClaw 技能格式进行改造，旨在为 AI 提供系统化的思考和行动框架。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"requirements-analyst","name":"requirements-analyst","description":"将产品需求转化为前后端可执行的技术规范，输出离线性优先的结构化文档。当用户提出产品需求、PRD、功能描述或模糊想法时自动触发。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"rss-ai-reader","name":"rss-ai-reader","description":"📰 RSS AI 阅读器 — 自动抓取订阅、LLM生成摘要、多渠道推送！\n支持 Claude/OpenAI 生成中文摘要，推送到飞书/Telegram/Email。\n触发条件: 用户要求订阅RSS、监控博客、抓取新闻、生成摘要、设置定时抓取、\n\"帮我订阅\"、\"监控这个网站\"、\"每天推送新闻\"、RSS/Atom feed 相关。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"skill-creator","name":"skill-creator","description":"Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"spike","name":"spike","description":"Run throwaway prototypes to validate feasibility, compare approaches, and report a verdict.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"Spreadsheet & Data Wrangling Master","name":"Spreadsheet & Data Wrangling Master","description":"Complete spreadsheet methodology — data cleanup, transformation, analysis, dashboards, automation, and reporting. Works with CSV, Excel, Google Sheets, or any tabular data. Use when the user needs to clean messy data, build reports, create dashboards, automate recurring spreadsheet tasks, or transform data between formats.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"sql-toolkit","name":"sql-toolkit","description":"Query, design, migrate, and optimize SQL databases. Use when working with SQLite, PostgreSQL, or MySQL — schema design, writing queries, creating migrations, indexing, backup/restore, and debugging slow queries. No ORMs required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"taskflow","name":"taskflow","description":"Coordinate multi-step detached tasks as one durable TaskFlow job with owner context, state, waits, and child tasks.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"taskflow-inbox-triage","name":"taskflow-inbox-triage","description":"Example TaskFlow pattern for inbox triage, intent routing, waiting on replies, and later summaries.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"using-superpowers","name":"using-superpowers","description":"Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"weather","name":"weather","description":"Get current weather and forecasts (no API key required).","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/weather/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/weather","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/weather","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/weather/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"web-search","name":"web-search","description":"This skill should be used when users need to search the web for information, find current content, look up news articles, search for images, or find videos. It uses a self-hosted SearXNG instance to return results in clean, formatted output (text, markdown, or JSON). Use for research, fact-checking, finding recent information, or gathering web resources.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/web-search/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/web-search","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/web-search","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/web-search/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true}]},"prompting":{"skillsPrompt":"\n\nThe following skills provide specialized instructions for specific tasks.\nUse the read tool to load a skill's file when the task matches its description.\nIf a skill's <version> differs from a previous turn, re-read its SKILL.md before using it.\nWhen a skill file references a relative path, resolve it against the skill directory (parent of SKILL.md / dirname of the path) and use that absolute path in tool commands.\n\n<available_skills>\n <skill>\n <name>agent-browser</name>\n <description>Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection</description>\n <location>~/.openclaw/workspace/skills/agent-browser-clawdbot/SKILL.md</location>\n <version>sha256:9643b9c65476eedd</version>\n </skill>\n <skill>\n <name>chinese-calendar</name>\n <description>获取中国日历信息，包括节假日、调休安排、工作日判断。使用 timor.tech API，数据每年自动更新。Use when: 需要判断某天是否是工作日、查询节假日安排、了解调休情况。</description>\n <location>~/.openclaw/workspace/skills/chinese-calendar/SKILL.md</location>\n <version>sha256:40a9ba942647e641</version>\n </skill>\n <skill>\n <name>clawhub</name>\n <description>Search ClawHub for skills when a requested capability is not already available; install, verify, update, publish, or sync skills.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/clawhub/SKILL.md</location>\n <version>sha256:6bb70d95cbd1a545</version>\n </skill>\n <skill>\n <name>Code</name>\n <description>Coding workflow with planning, implementation, verification, and testing for clean software development.</description>\n <location>~/.openclaw/workspace/skills/openclaw-code/SKILL.md</location>\n <version>sha256:f09694134cc55cc0</version>\n </skill>\n <skill>\n <name>database-admin</name>\n <description>Comprehensive database administration, schema management, data operations, and optimization. Use when Codex needs to: (1) Create or modify database tables with proper indexing, (2) Perform bulk data insertions with type safety and constraint handling, (3) Execute complex queries with JOINs, aggregations, and subqueries, (4) Optimize query performance through indexing and execution plan analysis, (5) Manage database backups, restores, and migrations, (6) Handle special data types (BIGINT, UUID, JSONB, enums), (7) Implement transactional safety with ACID compliance, or (8) Debug and resolve database errors including constraint violations, type mismatches, and foreign key issues</description>\n <location>~/.openclaw/workspace/skills/database-admin/SKILL.md</location>\n <version>sha256:7649e43727f2fb8b</version>\n </skill>\n <skill>\n <name>database-schema-designer</name>\n <description>Database Schema Designer</description>\n <location>~/.openclaw/workspace/skills/database-schema-designer/SKILL.md</location>\n <version>sha256:3f2282ec8135dfdf</version>\n </skill>\n <skill>\n <name>db-query</name>\n <description>Query project databases with automatic SSH tunnel management. Use when you need to execute SQL queries against configured databases, especially those accessible only via SSH tunnels. Automatically manages SSH connection lifecycle (establishes tunnel before query, closes after). Supports multiple databases distinguished by description/name from config file.</description>\n <location>~/.openclaw/workspace/skills/db-query/SKILL.md</location>\n <version>sha256:eaffe1e617f2b8f2</version>\n </skill>\n <skill>\n <name>db-schema</name>\n <description>Generate database schemas, migrations, and ERD diagrams from plain English descriptions — supports PostgreSQL, MySQL, SQLite, and MongoDB with proper indexes and constraints.</description>\n <location>~/.openclaw/workspace/skills/db-schema-gen/SKILL.md</location>\n <version>sha256:c511ce8bb306f227</version>\n </skill>\n <skill>\n <name>deep-research-pro</name>\n <description>Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.</description>\n <location>~/.openclaw/workspace/skills/deep-research-pro/SKILL.md</location>\n <version>sha256:a780f8bbec442198</version>\n </skill>\n <skill>\n <name>diagram-maker</name>\n <description>Create SVG/HTML or Excalidraw diagrams for concepts, architecture, flows, and whiteboards.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker/SKILL.md</location>\n <version>sha256:6195e03fcb04a1a6</version>\n </skill>\n <skill>\n <name>dingtalk-channel-rules</name>\n <description>钉钉会话输出规则。在钉钉会话中始终生效。</description>\n <location>~/.openclaw/plugin-skills/dingtalk-channel-rules/SKILL.md</location>\n <version>sha256:4abd7ff39fd8ab23</version>\n </skill>\n <skill>\n <name>dingtalk-troubleshoot</name>\n <description>钉钉连接器问题排查。包含 dws CLI 常见错误处理、授权问题排查和连接故障诊断。\n当 dws 命令执行失败、授权异常、连接中断时自动激活。</description>\n <location>~/.openclaw/plugin-skills/dingtalk-troubleshoot/SKILL.md</location>\n <version>sha256:831e1260e77bcf9b</version>\n </skill>\n <skill>\n <name>docker-essentials</name>\n <description>Essential Docker commands and workflows for container management, image operations, and debugging.</description>\n <location>~/.openclaw/workspace/skills/docker-essentials/SKILL.md</location>\n <version>sha256:bf8120febd5275b0</version>\n </skill>\n <skill>\n <name>dws</name>\n <description>管理钉钉产品能力(AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/开放平台文档/钉钉文档/钉钉云盘/AI听记/邮箱/在线电子表格/知识库等)。当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报（钉钉日志模版）、读写钉钉文档、上传下载云盘文件、查询听记纪要、收发邮件、读写在线电子表格(axls)、管理钉钉知识库时使用。</description>\n <location>~/.openclaw/skills/dws/SKILL.md</location>\n <version>sha256:25f131a2e41eeeca</version>\n </skill>\n <skill>\n <name>dws-cli</name>\n <description>在钉钉会话中通过 dws CLI 管理钉钉产品能力（AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/工作台等）。\n当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报时使用。</description>\n <location>~/.openclaw/plugin-skills/dws-cli/SKILL.md</location>\n <version>sha256:e1e0cb89e56c9a8d</version>\n </skill>\n <skill>\n <name>healthcheck</name>\n <description>Audit/harden OpenClaw hosts: SSH, firewall, updates, exposure, backups, disk encryption, gateway security.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck/SKILL.md</location>\n <version>sha256:518ec6e0482cf1c7</version>\n </skill>\n <skill>\n <name>humanizer</name>\n <description>Remove signs of AI-generated writing from text. Use when editing or reviewing\ntext to make it sound more natural and human-written. Based on Wikipedia's\ncomprehensive "Signs of AI writing" guide. Detects and fixes patterns including:\ninflated symbolism, promotional language, superficial -ing analyses, vague\nattributions, em dash overuse, rule of three, AI vocabulary words, negative\nparallelisms, and excessive conjunctive phrases.</description>\n <location>~/.openclaw/workspace/skills/humanizer/SKILL.md</location>\n <version>sha256:d7ce483d368e4301</version>\n </skill>\n <skill>\n <name>imap-smtp-email</name>\n <description>Read and send email via IMAP/SMTP. Check for new/unread messages, fetch content, search mailboxes, mark as read/unread, and send emails with attachments. Supports multiple accounts. Works with any IMAP/SMTP server including Gmail, Outlook, 163.com, vip.163.com, 126.com, vip.126.com, 188.com, and vip.188.com.</description>\n <location>~/.openclaw/workspace/skills/imap-smtp-email/SKILL.md</location>\n <version>sha256:01345a894f2863a4</version>\n </skill>\n <skill>\n <name>meme-maker</name>\n <description>Search meme templates, suggest formats, and generate local or hosted image memes.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md</location>\n <version>sha256:8b8832f9f0f58b16</version>\n </skill>\n <skill>\n <name>multi-search-engine</name>\n <description>Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required.</description>\n <location>~/.openclaw/workspace/skills/multi-search-engine/SKILL.md</location>\n <version>sha256:ef2d2706e82ad0fc</version>\n </skill>\n <skill>\n <name>MySQL</name>\n <description>Write correct MySQL queries with proper character sets, indexing, transactions, and production patterns.</description>\n <location>~/.openclaw/workspace/skills/MySQL/SKILL.md</location>\n <version>sha256:97003e1d9502f459</version>\n </skill>\n <skill>\n <name>news-summary</name>\n <description>This skill should be used when the user asks for news updates, daily briefings, or what's happening in the world. Fetches news from trusted international RSS feeds and can create voice summaries.</description>\n <location>~/.openclaw/workspace/skills/news-summary/SKILL.md</location>\n <version>sha256:1b4c45b56f567567</version>\n </skill>\n <skill>\n <name>node-connect</name>\n <description>Diagnose OpenClaw Android, iOS, or macOS node pairing, QR/setup code, route, auth, and connection failures.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md</location>\n <version>sha256:cc39026fd84e5cfa</version>\n </skill>\n <skill>\n <name>node-inspect-debugger</name>\n <description>Debug Node.js with node inspect, --inspect, breakpoints, CDP, heap, and CPU profiles.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md</location>\n <version>sha256:50d2f6828eaf4bbf</version>\n </skill>\n <skill>\n <name>obsidian-official-cli</name>\n <description>Work with Obsidian vaults using the official Obsidian CLI (v1.12+). 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Manages proposal → specs → design → tasks → implementation workflows. Supports custom schemas (TDD, rapid, etc.). 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对应的plan_start_time","messages":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate \n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","timestamp":1784109538113,"idempotencyKey":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"}],"tools":[{"name":"agents_list","description":"List agent ids allowed for `sessions_spawn runtime=\"subagent\"`.","parameters":{"type":"object","properties":{}}},{"name":"apply_patch","description":"Apply a patch to one or more files using the apply_patch format. The input should include *** Begin Patch and *** End Patch markers.","parameters":{"type":"object","required":["input"],"properties":{"input":{"type":"string","description":"Patch content using the *** Begin Patch/End Patch format."}}}},{"name":"create_goal","description":"Create a goal only when explicitly requested by the user or system instructions. Fails if a goal already exists; use user-facing goal controls to clear it.","parameters":{"type":"object","required":["objective"],"properties":{"objective":{"type":"string","description":"Concrete objective to pursue. Create only when explicitly requested."},"token_budget":{"type":"number","description":"Optional positive token budget for this goal."}}}},{"name":"cron","description":"Manage Gateway cron jobs and wake events: reminders, check-back-later, delayed follow-ups, recurring work. Do not emulate scheduling with exec sleep/process polling.\n\nMain cron => system events for heartbeat. Isolated cron => background task in `openclaw tasks`.\n\nACTIONS:\n- status: scheduler status\n- list: compact job summaries; includeDisabled true includes disabled; use get for full job details; agentId filter auto-filled from session\n- get: one job; needs jobId\n- add: create job; needs job object\n- update: patch job; needs jobId + patch\n- remove: delete job; needs jobId\n- run: run only if due by default; needs jobId; pass runMode=\"force\" to trigger now\n- runs: run history; needs jobId\n- wake: send wake event; needs text, optional mode; defaults the target to the calling session/agent. Pass top-level sessionKey/agentId to wake a different lane owned by the calling agent.\n\nJOB SCHEMA (for add action):\n{\n \"name\": \"string\",\n \"schedule\": { ... }, // required\n \"trigger\": { \"script\": \"...\", \"once\": false }, // optional condition gate for every/cron\n \"payload\": { ... }, // required\n \"delivery\": { ... }, // optional announce for isolated/current/session, webhook for any target\n \"sessionTarget\": \"main\" | \"isolated\" | \"current\" | \"session:<id>\",\n \"enabled\": true | false // default true\n}\n\nSESSION TARGET OPTIONS:\n- \"main\": main session; requires payload.kind=\"systemEvent\"\n- \"isolated\": ephemeral isolated session; requires payload.kind=\"agentTurn\"\n- \"current\": bind current session at creation\n- \"session:<id>\": persistent named session\n\nDEFAULTS:\n- payload.kind=\"systemEvent\" → defaults to \"main\"\n- payload.kind=\"agentTurn\" → defaults to \"isolated\"\nCurrent binding needs sessionTarget=\"current\".\n\nSCHEDULE TYPES (schedule.kind):\n- \"at\": one-shot absolute time\n { \"kind\": \"at\", \"at\": \"<ISO-8601 timestamp>\" }\n- \"every\": recurring interval\n { \"kind\": \"every\", \"everyMs\": <ms>, \"anchorMs\": <optional-ms> }\n- \"cron\": expr in supplied timezone, or Gateway host local timezone when tz omitted\n { \"kind\": \"cron\", \"expr\": \"<cron-expression>\", \"tz\": \"<optional-IANA-timezone>\" }\n Write expr in local wall-clock time; do not convert the requested local time to UTC first.\n tz omitted => Gateway host local timezone, not UTC.\n Example 6pm Shanghai daily: { \"kind\": \"cron\", \"expr\": \"0 18 * * *\", \"tz\": \"Asia/Shanghai\" }\n\nOptional trigger scripts poll headlessly on every/cron schedules and run the payload only when they return { fire: true }.\n\nFor \"at\", ISO timestamps without timezone are UTC.\n\nPAYLOAD TYPES (payload.kind):\n- \"systemEvent\": inject text as system event\n { \"kind\": \"systemEvent\", \"text\": \"<message>\" }\n- \"agentTurn\": run agent with prompt; isolated/current/session only\n { \"kind\": \"agentTurn\", \"message\": \"<prompt>\", \"model\": \"<optional>\", \"thinking\": \"<optional>\", \"timeoutSeconds\": <optional, 0=no timeout> }\n\nDELIVERY (top-level):\n { \"mode\": \"none|announce|webhook\", \"channel\": \"<optional>\", \"to\": \"<optional>\", \"threadId\": \"<optional>\", \"bestEffort\": <optional-bool> }\n - isolated agentTurn default when omitted: \"announce\"\n - announce: send to chat channel; isolated/current/session only; optional channel/to\n - threadId: chat thread/topic id\n - webhook: POST finished-run event to delivery.to URL\n - Specific chat/recipient: set announce delivery.channel/to; do not call messaging tools inside run.\n\nCRITICAL CONSTRAINTS:\n- sessionTarget=\"main\" REQUIRES payload.kind=\"systemEvent\"\n- sessionTarget=\"isolated\" | \"current\" | \"session:xxx\" REQUIRES payload.kind=\"agentTurn\"\n- Webhook: delivery.mode=\"webhook\" and delivery.to URL.\nDefault: prefer isolated agentTurn jobs unless the user explicitly wants current-session binding.\n\nRESTRICTED CRON RUNS:\n- Some isolated cron runs get narrow self-cleanup grant: status/list self-only, get/runs current job only, mutation only remove current job.\n\nWAKE MODES (for wake action):\n- \"next-heartbeat\" default: wake next heartbeat\n- \"now\": wake immediately\n\nUse jobId canonical; id accepted compat. contextMessages (0-10) adds previous messages as job context.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"includeDisabled":{"type":"boolean"},"job":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"additionalProperties":true},"jobId":{"type":"string"},"id":{"type":"string"},"patch":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"additionalProperties":true},"text":{"type":"string"},"mode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"runMode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Run mode for action=\"run\": omitted defaults to \"due\"; use \"force\" to trigger now."},"contextMessages":{"type":"integer","minimum":0,"maximum":10},"agentId":{"type":"string","description":"List filter for `action: \"list\"`; wake target override for `action: \"wake\"` (defaults to the calling agent when omitted on wake)"},"sessionKey":{"type":"string","description":"Wake target override for `action: \"wake\"`: route the event to another session owned by the calling agent. Defaults to the resolved calling-session key when omitted."}},"additionalProperties":true}},{"name":"edit","description":"Edit a single file using exact text replacement. Every edits[].oldText must match a unique, non-overlapping region of the original file. If two changes affect the same block or nearby lines, merge them into one edit instead of emitting overlapping edits. Do not include large unchanged regions just to connect distant changes.","parameters":{"type":"object","required":["path","edits"],"properties":{"path":{"type":"string","description":"Path to the file to edit (relative or absolute)"},"edits":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"One or more targeted replacements. Each edit is matched against the original file, not incrementally. Do not include overlapping or nested edits. If two changes touch the same block or nearby lines, merge them into one edit instead."}},"additionalProperties":false}},{"name":"exec","description":"Execute shell commands with background continuation for work that starts now. Use yieldMs/background to continue later via process tool. For long-running work started now, rely on automatic completion wake when it is enabled and the command emits output or fails; otherwise use process to confirm completion. Use process whenever you need logs, status, input, or intervention. Do not use exec sleep or delay loops for reminders or deferred follow-ups; use cron instead. Use pty=true for TTY-required commands (terminal UIs, coding agents).","parameters":{"type":"object","required":["command"],"properties":{"command":{"type":"string","description":"Shell command to execute"},"workdir":{"type":"string","description":"Working directory. Blank/whitespace values are invalid; omit to use the default cwd."},"env":{"type":"object","patternProperties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"yieldMs":{"type":"number","description":"Milliseconds to wait before backgrounding (default 10000)"},"background":{"type":"boolean","description":"Run in background immediately"},"timeout":{"type":"number","description":"Timeout in seconds (optional, kills process on expiry)"},"pty":{"type":"boolean","description":"Run in a pseudo-terminal (PTY) when available (TTY-required CLIs, coding agents)"},"elevated":{"type":"boolean","description":"Run on the host with elevated permissions (if allowed)"},"host":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Exec host/target (auto|sandbox|gateway|node)."},"security":{"type":"string","description":"Ignored for normal calls; exec security is set by tools.exec.security and host approvals."},"ask":{"type":"string","description":"Baseline ask comes from tools.exec.ask and host approvals; channel-origin calls ignore per-call ask when effective host ask is off."},"node":{"type":"string","description":"Node id/name for host=node."}}}},{"name":"gateway","description":"Gateway restart/config/update. Before config edits, use config.schema.lookup with targeted dot path. Prefer config.patch for partial merge; config.apply only full replace. For config.patch that intentionally removes array entries, pass replacePaths with the exact affected array path. Writes hot-reload or restart as needed. Always pass human `note` for post-restart delivery. If post-restart work must continue internally, pass one-shot `continuationMessage`; visible follow-up from that turn must use the message tool. Do not write restart sentinel files directly.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"delayMs":{"type":"integer","minimum":0},"reason":{"type":"string"},"continuationMessage":{"type":"string"},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"path":{"type":"string"},"raw":{"type":"string"},"baseHash":{"type":"string"},"replacePaths":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"maxItems":256},"sessionKey":{"type":"string"},"note":{"type":"string"},"restartDelayMs":{"type":"integer","minimum":0}}}},{"name":"get_goal","description":"Get the current goal for this thread, including status and token usage.","parameters":{"type":"object","properties":{}}},{"name":"image","description":"Analyze images with available vision model. Use image for one path/URL, images for max 20. Prompt says what to inspect.","parameters":{"type":"object","properties":{"prompt":{"type":"string"},"image":{"type":"string","description":"One image path/URL."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Image paths/URLs; maxImages default 20."},"model":{"type":"string"},"maxBytesMb":{"type":"number","exclusiveMinimum":0},"maxImages":{"type":"integer","minimum":1}}}},{"name":"image_generate","description":"Create/edit images. Session chats: background task; do not call image_generate again for same request; wait completion, then report through the current visible-reply contract with generated media attached using structured media fields. Transparent: outputFormat=\"png\" or \"webp\" + background=\"transparent\"; OpenAI also supports openai.background and routes default model to gpt-image-1.5. Use action=\"list\" for providers/models/readiness/auth, \"status\" for active task.","parameters":{"type":"object","properties":{"action":{"type":"string","description":"\"generate\" default, \"status\" active task, \"list\" providers/models."},"prompt":{"type":"string","description":"Image prompt."},"image":{"type":"string","description":"Reference image path/URL for edit."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference images for edit or style reference; max 14."},"model":{"type":"string","description":"Provider/model override, e.g. openai/gpt-image-2; transparent OpenAI: openai/gpt-image-1.5."},"filename":{"type":"string","description":"Output filename hint; basename preserved in managed media dir."},"size":{"type":"string","description":"Size hint: 1024x1024, 1536x1024, 1024x1536, 2048x2048, 3840x2160."},"aspectRatio":{"type":"string","description":"Aspect ratio: 1:1, 2:1, 20:9, 19.5:9, 2:3, 3:2, 2.35:1, 3:4, 4:3, 4:5, 5:4, 9:16, 9:19.5, 9:20, 16:9, 21:9, 1:2, 4:1, 1:4, 8:1, 1:8."},"resolution":{"type":"string","description":"Resolution: 1K, 2K, 4K; useful for Google."},"quality":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Quality: low, medium, high, auto."},"outputFormat":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Output format: png, jpeg, webp."},"background":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Background: transparent, opaque, auto. Transparent needs png/webp output."},"openai":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"fal":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"count":{"type":"integer","description":"Image count 1-4.","minimum":1,"maximum":4},"timeoutMs":{"type":"integer","description":"Provider timeout ms (300000 tends to be a safe amount).","minimum":1}}}},{"name":"memory_get","description":"Safe exact excerpt read from MEMORY.md or memory/*.md. Defaults to a bounded excerpt when lines are omitted, includes truncation/continuation info when more content exists, and `corpus=wiki` reads from registered compiled-wiki supplements.","parameters":{"type":"object","properties":{"path":{"type":"string"},"from":{"type":"integer","minimum":1},"lines":{"type":"integer","minimum":1},"corpus":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}},"required":["path"],"additionalProperties":false}},{"name":"memory_search","description":"Mandatory recall step: semantically search MEMORY.md + memory/*.md (and optional session transcripts) before answering questions about prior work, decisions, dates, people, preferences, or todos. Optional `corpus=wiki` or `corpus=all` also searches registered compiled-wiki supplements. `corpus=memory` restricts hits to indexed memory files (excludes session transcript chunks from ranking). `corpus=sessions` restricts hits to indexed session transcripts (same visibility rules as session history tools). If response has disabled=true, memory retrieval is unavailable and should be surfaced to the user.","parameters":{"type":"object","properties":{"query":{"type":"string"},"maxResults":{"type":"integer","minimum":1},"minScore":{"type":"number"},"corpus":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}},"required":["query"],"additionalProperties":false}},{"name":"message","description":"Send/delete/manage channel messages. Supports actions: send.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"channel":{"type":"string"},"target":{"type":"string","description":"Recipient/channel: E.164 for WhatsApp/Signal, Telegram chat id/@username, Discord/Slack/Mattermost <channelId|user:ID|channel:ID>, or iMessage handle/chat_id"},"targets":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"accountId":{"type":"string"},"dryRun":{"type":"boolean"},"message":{"type":"string"},"effectId":{"type":"string","description":"Effect id/name for sendWithEffect."},"effect":{"type":"string","description":"Alias for effectId."},"media":{"type":"string","description":"Media URL/path. data: use buffer."},"filename":{"type":"string"},"buffer":{"type":"string","description":"Base64 attachment payload; data URL ok."},"contentType":{"type":"string"},"mimeType":{"type":"string"},"caption":{"type":"string"},"attachments":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Structured attachments; each entry uses media."},"replyTo":{"type":"string"},"threadId":{"type":"string"},"asVoice":{"type":"boolean"},"silent":{"type":"boolean"},"quoteText":{"type":"string","description":"Telegram reply quote text."},"gifPlayback":{"type":"boolean"},"forceDocument":{"type":"boolean","description":"Send image/GIF/video as document; avoids compression."},"asDocument":{"type":"boolean","description":"Alias for forceDocument."},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1}}}},{"name":"node_inference","description":"Discover and run chat-capable Ollama models installed on paired desktop/server nodes. Use action=discover first, then action=run with a node and model from that result. Inference stays on the selected node.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"node":{"type":"string","description":"Connected node id or display name. Required when ambiguous."},"model":{"type":"string","description":"Exact local model name returned by discover."},"prompt":{"type":"string","description":"Prompt for action=run."},"system":{"type":"string","description":"Optional system prompt for action=run."},"temperature":{"type":"number","minimum":0,"maximum":2},"maxTokens":{"type":"integer","minimum":1,"maximum":8192},"timeoutMs":{"type":"integer","minimum":1,"maximum":600000}},"additionalProperties":false}},{"name":"nodes","description":"Discover/control paired nodes: status, describe, pairing, notify, camera/photos/screen/location/notifications/invoke. Use file_fetch for files.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"node":{"type":"string"},"requestId":{"type":"string"},"title":{"type":"string"},"body":{"type":"string"},"sound":{"type":"string"},"priority":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"delivery":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"facing":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"camera_snap: front/back/both; camera_clip: front/back only."},"maxWidth":{"type":"integer","minimum":1},"quality":{"type":"number","minimum":0,"maximum":1},"delayMs":{"type":"integer","minimum":0},"deviceId":{"type":"string"},"limit":{"type":"integer","minimum":1,"maximum":20},"duration":{"type":"string"},"durationMs":{"type":"integer","minimum":1,"maximum":300000},"includeAudio":{"type":"boolean"},"fps":{"type":"number","exclusiveMinimum":0},"screenIndex":{"type":"integer","minimum":0},"outPath":{"type":"string"},"maxAgeMs":{"type":"integer","minimum":0},"locationTimeoutMs":{"type":"integer","minimum":1},"desiredAccuracy":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"notificationAction":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"notificationKey":{"type":"string"},"notificationReplyText":{"type":"string"},"invokeCommand":{"type":"string"},"invokeParamsJson":{"type":"string"},"invokeTimeoutMs":{"type":"integer","minimum":1}}}},{"name":"pdf","description":"Analyze PDFs with model. Anthropic/Google native PDF when supported; else text/image extraction. Use pdf for one, pdfs for max 10; prompt says what to inspect.","parameters":{"type":"object","properties":{"prompt":{"type":"string"},"pdf":{"type":"string","description":"One PDF path/URL."},"pdfs":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"PDF paths/URLs; max 10."},"pages":{"type":"string","description":"Pages, e.g. \"1-5\", \"1,3,5-7\"; default all."},"model":{"type":"string"},"maxBytesMb":{"type":"number","exclusiveMinimum":0}}}},{"name":"process","description":"Manage running exec sessions for commands already started: list, poll, log, write, send-keys, submit, paste, kill. Use poll/log when you need status, logs, quiet-success confirmation, or completion confirmation when automatic completion wake is unavailable. Use poll/log also for input-wait hints. Use write/send-keys/submit/paste/kill for input or intervention. Do not use process polling to emulate timers or reminders; use cron for scheduled follow-ups.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","description":"Process action (list|poll|log|write|send-keys|submit|paste|kill|clear|remove)"},"sessionId":{"type":"string","description":"Session id for actions other than list"},"data":{"type":"string","description":"Data to write for write"},"keys":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Key tokens to send for send-keys"},"hex":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Hex bytes to send for send-keys"},"literal":{"type":"string","description":"Literal string for send-keys"},"text":{"type":"string","description":"Text to paste for paste"},"bracketed":{"type":"boolean","description":"Wrap paste in bracketed mode"},"eof":{"type":"boolean","description":"Close stdin after write"},"offset":{"type":"number","description":"Log offset"},"limit":{"type":"number","description":"Log length"},"timeout":{"type":"number","description":"For poll: wait up to this many milliseconds before returning; max 30000 ms, higher values are clamped to 30000","minimum":0}}}},{"name":"read","description":"Read the contents of a file. Supports text files and images (jpg, png, gif, webp, bmp). Images are sent as attachments. For text files, output is truncated to 2000 lines or 50KB (whichever is hit first). Use offset/limit for large files. When you need the full file, continue with offset until complete.","parameters":{"type":"object","required":["path"],"properties":{"path":{"type":"string","description":"Path to the file to read (relative or absolute)"},"offset":{"type":"number","description":"Line number to start reading from (1-indexed)"},"limit":{"type":"number","description":"Maximum number of lines to read"}}}},{"name":"session_status","description":"Show /status-like card for current/visible session: model, usage, time, cost, tasks. Use `sessionKey=\"current\"` for current session; UI labels like `openclaw-tui` are not keys. `model` sets session override; `model=default` resets. Use for active model/session config questions.","parameters":{"type":"object","properties":{"sessionKey":{"type":"string"},"model":{"type":"string"}}}},{"name":"sessions_history","description":"Fetch sanitized history for visible session. Use before replying, debugging, resuming; supports limit, offset pagination, and tool-message inclusion.","parameters":{"type":"object","required":["sessionKey"],"properties":{"sessionKey":{"type":"string"},"limit":{"type":"integer","minimum":1},"offset":{"type":"integer","minimum":0},"includeTools":{"type":"boolean"}}}},{"name":"sessions_list","description":"List visible sessions; filter by kind, label, agentId, search, activity, archive state. Use before sessions_history or sessions_send target selection.","parameters":{"type":"object","properties":{"kinds":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"limit":{"type":"integer","minimum":1},"activeMinutes":{"type":"integer","minimum":1},"messageLimit":{"type":"integer","minimum":0},"label":{"type":"string","minLength":1},"agentId":{"type":"string","minLength":1,"maxLength":64},"search":{"type":"string","minLength":1},"archived":{"type":"boolean"},"includeDerivedTitles":{"type":"boolean"},"includeLastMessage":{"type":"boolean"}}}},{"name":"sessions_send","description":"Send message to visible session by sessionKey/label, or configured agent by agentId; sessionKey wins when redundant label metadata is present. Thread-scoped chats rejected; target parent channel session. Creates missing configured-agent main session; waits for reply when available.","parameters":{"type":"object","required":["message"],"properties":{"sessionKey":{"type":"string"},"label":{"type":"string","minLength":1,"maxLength":512},"agentId":{"type":"string","minLength":1,"maxLength":64},"message":{"type":"string"},"timeoutSeconds":{"type":"integer","minimum":0}}}},{"name":"sessions_spawn","description":"Spawn clean child session; default `runtime=\"subagent\"`. `mode=\"run\"` one-shot background work. Subagents inherit parent workspace. Native subagents get task in first visible `[Subagent Task]` message. Native only: `context=\"fork\"` only when child needs current transcript; else omit or `isolated`. Use for fresh child-session work. Delegate sidecar/parallel tasks: batch file reads, multi-step searches, data collection. Avoid delegating quick lookups or single-file reads unless policy prefers delegation. After spawning, do non-overlapping work while run-mode results return.","parameters":{"type":"object","required":["task"],"properties":{"task":{"type":"string"},"taskName":{"type":"string","description":"Stable alias for later targeting; lowercase letters/digits/underscores/hyphens, starts letter."},"label":{"type":"string"},"runtime":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"agentId":{"type":"string"},"model":{"type":"string"},"thinking":{"type":"string"},"cwd":{"type":"string"},"mode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"cleanup":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"sandbox":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"context":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Native context. Omit/\"isolated\" for clean child; \"fork\" only when child needs requester transcript."},"lightContext":{"type":"boolean","description":"Light bootstrap context; runtime=\"subagent\" only."},"attachments":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"maxItems":50},"attachAs":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}}}},{"name":"sessions_yield","description":"End current turn. Use after spawning subagents; results arrive as next message.","parameters":{"type":"object","properties":{"message":{"type":"string"}}}},{"name":"skill_workshop","description":"Create, update, revise, list, inspect, apply, reject, or quarantine Skill Workshop proposals when reusable procedures should be captured, improved, or explicitly approved.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"create = new skill; update = existing live skill; revise = existing pending proposal; list/inspect discover pending proposals (not filesystem search); apply/reject/quarantine are explicit lifecycle actions."},"proposal_id":{"type":"string","description":"Existing proposal id for action=inspect, action=revise, action=apply, action=reject, or action=quarantine."},"name":{"type":"string","description":"Skill/proposal name. Required for create; for inspect/revise when proposal_id is unknown, resolves a pending proposal or returns candidates."},"query":{"type":"string","description":"Optional query for action=list."},"status":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Optional proposal status filter for action=list."},"limit":{"type":"integer","minimum":1,"maximum":50,"description":"Maximum proposals to return for action=list. Defaults to 20."},"description":{"type":"string","maxLength":160,"description":"Skill description for create/update/revise; max 160 bytes. On update, concise text shortens the proposal listing entry."},"skill_name":{"type":"string","description":"Existing skill name or key for action=update."},"proposal_content":{"type":"string","description":"Full proposed procedure markdown for action=create, action=update, or action=revise. It will be stored as PROPOSAL.md. Keep under configured skills.workshop.maxSkillBytes; default max is 40000 bytes."},"support_files":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Optional support files to store with the proposal."},"goal":{"type":"string","description":"Proposal or improvement goal."},"evidence":{"type":"string","description":"Short evidence or notes."},"reason":{"type":"string","description":"Optional reason for action=apply, action=reject, or action=quarantine."}},"additionalProperties":false}},{"name":"subagents","description":"List active and recent subagents for the requester session. If sessions_yield exists, use it for completion; do not poll wait loops.","parameters":{"type":"object","properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"recentMinutes":{"type":"integer","minimum":1}}}},{"name":"tts","description":"Use only for explicit audio intent (voice/speech/TTS) or active TTS config. Never use for ordinary text replies. Audio auto-delivered from tool result; after success follow reply instructions, no duplicate text/audio.","parameters":{"type":"object","required":["text"],"properties":{"text":{"type":"string","description":"Text to speak."},"channel":{"type":"string","description":"Channel id; output-format hint."},"timeoutMs":{"type":"integer","description":"Provider timeout ms.","minimum":1}}}},{"name":"update_goal","description":"Mark the current goal complete only when achieved, or blocked only after the same blocking condition recurs for at least three consecutive goal turns. Do not use blocked for ordinary difficulty or missing polish.","parameters":{"type":"object","required":["status"],"properties":{"status":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"complete | blocked."},"note":{"type":"string","description":"Short status note."}}}},{"name":"update_plan","description":"Update current run plan. Use for non-trivial multi-step work; keep plan current while executing. Short steps; max one `in_progress`; skip for simple one-step work.","parameters":{"type":"object","required":["plan"],"properties":{"explanation":{"type":"string","description":"Short note: what changed."},"plan":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"minItems":1,"description":"Ordered steps; max one in_progress."}}}},{"name":"video_generate","description":"Create videos. Session chats: background task; do not call video_generate again for same request; wait completion, then report through the current visible-reply contract with generated media attached using structured media fields. \"status\" checks active task. Duration may round to provider-supported value.","parameters":{"type":"object","properties":{"action":{"type":"string","description":"\"generate\" default, \"status\" active task, \"list\" providers/models."},"prompt":{"type":"string","description":"Video prompt."},"image":{"type":"string","description":"One reference image path/URL."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference images; max 9."},"imageRoles":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"`image` + `images` roles by index after de-dupe. Values: first_frame, last_frame, reference_image; empty string leaves unset."},"video":{"type":"string","description":"One reference video path/URL."},"videos":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference videos; max 4."},"videoRoles":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"`video` + `videos` roles by index after de-dupe. Value: reference_video; empty string leaves unset."},"model":{"type":"string","description":"Provider/model override, e.g. qwen/wan2.6-t2v."},"filename":{"type":"string","description":"Output filename hint; basename preserved in managed media dir."},"size":{"type":"string","description":"Size hint, e.g. 1280x720, 1920x1080."},"aspectRatio":{"type":"string","description":"Aspect ratio: 1:1, 16:9, 9:16, \"adaptive\", or provider value; unsupported normalized/ignored."},"resolution":{"type":"string","description":"Resolution: 360P, 480P, 540P, 720P, 768P, 1080P, 4K, or provider value; unsupported normalized/ignored."},"durationSeconds":{"type":"integer","description":"Target seconds; may round to nearest supported duration.","minimum":1},"audio":{"type":"boolean","description":"Generated-audio toggle."},"watermark":{"type":"boolean","description":"Watermark toggle."},"providerOptions":{"type":"object","patternProperties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Provider JSON options, e.g. {\"seed\":42}. Keys/types must match provider capabilities; mismatch skips candidate. Use action=list for accepted keys."},"timeoutMs":{"type":"integer","description":"Provider timeout ms.","minimum":1}}}},{"name":"write","description":"Write content to a file. Creates the file if it doesn't exist, overwrites if it does. Automatically creates parent directories.","parameters":{"type":"object","required":["path","content"],"properties":{"path":{"type":"string","description":"Path to the file to write (relative or absolute)"},"content":{"type":"string","description":"Content to write to the file"}}}}],"imagesCount":0,"streamStrategy":"boundary-aware:openai-completions","transport":"auto","transcriptLeafId":"0555d909"}}
|
||
{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","source":"runtime","type":"prompt.submitted","ts":"2026-07-15T09:59:57.137Z","seq":4,"sourceSeq":25,"sessionId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","sessionKey":"agent:main:dashboard:2fdf88e4-fa3f-46c2-b547-384e2c048b11","runId":"7c28a842-8a9f-4cc4-9094-1298d4ce1a5c","workspaceDir":"/home/yangxuan/.openclaw/workspace","provider":"deepseek","modelId":"deepseek-v4-flash","modelApi":"openai-completions","data":{"prompt":"保留原时分秒，只改日期部分\nUPDATE dmp_spom.dmp_mrp_main_plan_task SET plan_start_time='2026-07-07 11:03:04',create_time='2026-07-07 10:58:04',update_time='2026-07-07 11:03:04' WHERE ecid='kanda' AND plan_no='PLAN2026071414255193535522';\n-- 物料计划主表\n-- 批量更新 dmp_spom.dmp_mrp_main_plan_task 的 create_time update_time中的日期部分为 对应的plan_start_time","systemPrompt":{"truncated":true,"reason":"trajectory-field-size-limit","originalChars":39560,"limitChars":32768},"messages":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate \n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","timestamp":1784109538113,"idempotencyKey":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"}],"imagesCount":0}}
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{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","source":"runtime","type":"model.completed","ts":"2026-07-15T10:00:00.649Z","seq":5,"sourceSeq":26,"sessionId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","sessionKey":"agent:main:dashboard:2fdf88e4-fa3f-46c2-b547-384e2c048b11","runId":"7c28a842-8a9f-4cc4-9094-1298d4ce1a5c","workspaceDir":"/home/yangxuan/.openclaw/workspace","provider":"deepseek","modelId":"deepseek-v4-flash","modelApi":"openai-completions","data":{"aborted":false,"externalAbort":false,"timedOut":false,"idleTimedOut":false,"timedOutDuringCompaction":false,"timedOutDuringToolExecution":false,"timedOutByRunBudget":false,"promptErrorSource":null,"usage":{"input":1021,"output":340,"cacheRead":26880,"total":28241},"promptCache":{"lastCallUsage":{"input":1021,"output":340,"cacheRead":26880,"cacheWrite":0,"total":28241},"lastCacheTouchAt":1784109597165},"compactionCount":0,"assistantTexts":["明白，这次是**物料计划主表 `dmp_mrp_main_plan_task`**，要把 `create_time` 和 `update_time` 的日期部分改为对应的 `plan_start_time`，保留原时分秒。\n\n## 更新脚本\n\n```sql\nUPDATE dmp_spom.dmp_mrp_main_plan_task\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'kanda';\n```\n\n范围条件？我看你前面说的是\"计划开始时间是7月份的数据\"，但 `plan_start_time` 看样例已经是 7 月份。你对范围有要求吗？比如：\n\n```sql\n-- 如果只要 plan_start_time 在7月份的数据\nAND plan_start_time >= '2026-07-01' AND plan_start_time < '2026-08-01'\n\n-- 或者只要 plan_start_time 日期和 create_time 日期不一致的（避免无意义更新）\nAND DATE(plan_start_time) != DATE(create_time)\n```\n\n需要加范围条件吗？还是直接全量更新 `ecid = 'kanda'` 的所有记录？"],"finalPromptText":"保留原时分秒，只改日期部分\nUPDATE dmp_spom.dmp_mrp_main_plan_task SET plan_start_time='2026-07-07 11:03:04',create_time='2026-07-07 10:58:04',update_time='2026-07-07 11:03:04' WHERE ecid='kanda' AND plan_no='PLAN2026071414255193535522';\n-- 物料计划主表\n-- 批量更新 dmp_spom.dmp_mrp_main_plan_task 的 create_time update_time中的日期部分为 对应的plan_start_time","messagesSnapshot":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate \n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","timestamp":1784109538113,"idempotencyKey":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"},{"role":"user","content":[{"type":"text","text":"保留原时分秒，只改日期部分\nUPDATE dmp_spom.dmp_mrp_main_plan_task SET plan_start_time='2026-07-07 11:03:04',create_time='2026-07-07 10:58:04',update_time='2026-07-07 11:03:04' WHERE ecid='kanda' AND plan_no='PLAN2026071414255193535522';\n-- 物料计划主表\n-- 批量更新 dmp_spom.dmp_mrp_main_plan_task 的 create_time update_time中的日期部分为 对应的plan_start_time"}],"timestamp":1784109597140},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**物料计划主表 `dmp_mrp_main_plan_task`**，要把 `create_time` 和 `update_time` 的日期部分改为对应的 `plan_start_time`，保留原时分秒。\n\n## 更新脚本\n\n```sql\nUPDATE dmp_spom.dmp_mrp_main_plan_task\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'kanda';\n```\n\n范围条件？我看你前面说的是\"计划开始时间是7月份的数据\"，但 `plan_start_time` 看样例已经是 7 月份。你对范围有要求吗？比如：\n\n```sql\n-- 如果只要 plan_start_time 在7月份的数据\nAND plan_start_time >= '2026-07-01' AND plan_start_time < '2026-08-01'\n\n-- 或者只要 plan_start_time 日期和 create_time 日期不一致的（避免无意义更新）\nAND DATE(plan_start_time) != DATE(create_time)\n```\n\n需要加范围条件吗？还是直接全量更新 `ecid = 'kanda'` 的所有记录？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":1021,"output":340,"cacheRead":26880,"cacheWrite":0,"totalTokens":28241,"cost":{"input":0.001021,"output":0.0006799999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0017009999999999998}},"stopReason":"stop","timestamp":1784109597165,"responseId":"3546056a-f6d1-4805-b0d2-e4d5739d2293"}]}}
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No API keys required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/deep-research-pro/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/deep-research-pro","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/deep-research-pro","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/deep-research-pro/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"diagram-maker","name":"diagram-maker","description":"Create SVG/HTML or Excalidraw diagrams for concepts, architecture, flows, and whiteboards.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"dingtalk-channel-rules","name":"dingtalk-channel-rules","description":"钉钉会话输出规则。在钉钉会话中始终生效。","filePath":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-channel-rules/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-channel-rules","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-channel-rules","origin":"top-level","path":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-channel-rules/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"dingtalk-troubleshoot","name":"dingtalk-troubleshoot","description":"钉钉连接器问题排查。包含 dws CLI 常见错误处理、授权问题排查和连接故障诊断。\n当 dws 命令执行失败、授权异常、连接中断时自动激活。","filePath":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-troubleshoot/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-troubleshoot","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-troubleshoot","origin":"top-level","path":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-troubleshoot/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"docker-essentials","name":"docker-essentials","description":"Essential Docker commands and workflows for container management, image operations, and debugging.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/docker-essentials/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/docker-essentials","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/docker-essentials","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/docker-essentials/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"dws","name":"dws","description":"管理钉钉产品能力(AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/开放平台文档/钉钉文档/钉钉云盘/AI听记/邮箱/在线电子表格/知识库等)。当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报（钉钉日志模版）、读写钉钉文档、上传下载云盘文件、查询听记纪要、收发邮件、读写在线电子表格(axls)、管理钉钉知识库时使用。","filePath":"$OPENCLAW_STATE_DIR/skills/dws/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/skills/dws","source":"openclaw-managed","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/skills/dws","origin":"top-level","path":"$OPENCLAW_STATE_DIR/skills/dws/SKILL.md","scope":"project","source":"openclaw-managed"},"disableModelInvocation":false,"available":true},{"id":"dws-cli","name":"dws-cli","description":"在钉钉会话中通过 dws CLI 管理钉钉产品能力（AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/工作台等）。\n当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报时使用。","filePath":"$OPENCLAW_STATE_DIR/plugin-skills/dws-cli/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dws-cli","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dws-cli","origin":"top-level","path":"$OPENCLAW_STATE_DIR/plugin-skills/dws-cli/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"healthcheck","name":"healthcheck","description":"Audit/harden OpenClaw hosts: SSH, firewall, updates, exposure, backups, disk encryption, gateway security.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"humanizer","name":"humanizer","description":"Remove signs of AI-generated writing from text. Use when editing or reviewing\ntext to make it sound more natural and human-written. Based on Wikipedia's\ncomprehensive \"Signs of AI writing\" guide. Detects and fixes patterns including:\ninflated symbolism, promotional language, superficial -ing analyses, vague\nattributions, em dash overuse, rule of three, AI vocabulary words, negative\nparallelisms, and excessive conjunctive phrases.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"imap-smtp-email","name":"imap-smtp-email","description":"Read and send email via IMAP/SMTP. Check for new/unread messages, fetch content, search mailboxes, mark as read/unread, and send emails with attachments. Supports multiple accounts. Works with any IMAP/SMTP server including Gmail, Outlook, 163.com, vip.163.com, 126.com, vip.126.com, 188.com, and vip.188.com.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"meme-maker","name":"meme-maker","description":"Search meme templates, suggest formats, and generate local or hosted image memes.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"multi-search-engine","name":"multi-search-engine","description":"Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"MySQL","name":"MySQL","description":"Write correct MySQL queries with proper character sets, indexing, transactions, and production patterns.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"news-summary","name":"news-summary","description":"This skill should be used when the user asks for news updates, daily briefings, or what's happening in the world. Fetches news from trusted international RSS feeds and can create voice summaries.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"node-connect","name":"node-connect","description":"Diagnose OpenClaw Android, iOS, or macOS node pairing, QR/setup code, route, auth, and connection failures.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"node-inspect-debugger","name":"node-inspect-debugger","description":"Debug Node.js with node inspect, --inspect, breakpoints, CDP, heap, and CPU profiles.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"obsidian-official-cli","name":"obsidian-official-cli","description":"Work with Obsidian vaults using the official Obsidian CLI (v1.12+). Open, search, create, move, and manage notes from the terminal. Use when working with Obsidian vaults for note management, file operations, searching content, managing tasks, properties, links, plugins, themes, sync operations, or any command-line interaction with Obsidian.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"opencode-controller","name":"opencode-controller","description":"Control and operate Opencode via slash commands. Use this skill to manage sessions, select models, switch agents (plan/build), and coordinate coding through Opencode.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"openspec","name":"openspec","description":"Spec-driven development with OpenSpec CLI. Use when building features, migrations, refactors, or any structured development work. Manages proposal → specs → design → tasks → implementation workflows. Supports custom schemas (TDD, rapid, etc.). Trigger on requests involving feature planning, spec writing, change management, or when /opsx commands are mentioned.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/openspec/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/openspec","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/openspec","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/openspec/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"python-debugpy","name":"python-debugpy","description":"Debug Python with pdb, breakpoint(), post-mortem inspection, and debugpy remote attach.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"qiushi-openclaw-skills","name":"qiushi-openclaw-skills","description":"求是 OpenClaw Skills 是基于毛泽东思想方法论的 AI Agent 技能集合，按照 OpenClaw 技能格式进行改造，旨在为 AI 提供系统化的思考和行动框架。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"requirements-analyst","name":"requirements-analyst","description":"将产品需求转化为前后端可执行的技术规范，输出离线性优先的结构化文档。当用户提出产品需求、PRD、功能描述或模糊想法时自动触发。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"rss-ai-reader","name":"rss-ai-reader","description":"📰 RSS AI 阅读器 — 自动抓取订阅、LLM生成摘要、多渠道推送！\n支持 Claude/OpenAI 生成中文摘要，推送到飞书/Telegram/Email。\n触发条件: 用户要求订阅RSS、监控博客、抓取新闻、生成摘要、设置定时抓取、\n\"帮我订阅\"、\"监控这个网站\"、\"每天推送新闻\"、RSS/Atom feed 相关。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"skill-creator","name":"skill-creator","description":"Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"spike","name":"spike","description":"Run throwaway prototypes to validate feasibility, compare approaches, and report a verdict.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"Spreadsheet & Data Wrangling Master","name":"Spreadsheet & Data Wrangling Master","description":"Complete spreadsheet methodology — data cleanup, transformation, analysis, dashboards, automation, and reporting. Works with CSV, Excel, Google Sheets, or any tabular data. Use when the user needs to clean messy data, build reports, create dashboards, automate recurring spreadsheet tasks, or transform data between formats.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"sql-toolkit","name":"sql-toolkit","description":"Query, design, migrate, and optimize SQL databases. Use when working with SQLite, PostgreSQL, or MySQL — schema design, writing queries, creating migrations, indexing, backup/restore, and debugging slow queries. No ORMs required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"taskflow","name":"taskflow","description":"Coordinate multi-step detached tasks as one durable TaskFlow job with owner context, state, waits, and child tasks.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"taskflow-inbox-triage","name":"taskflow-inbox-triage","description":"Example TaskFlow pattern for inbox triage, intent routing, waiting on replies, and later summaries.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"using-superpowers","name":"using-superpowers","description":"Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"weather","name":"weather","description":"Get current weather and forecasts (no API key required).","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/weather/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/weather","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/weather","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/weather/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"web-search","name":"web-search","description":"This skill should be used when users need to search the web for information, find current content, look up news articles, search for images, or find videos. It uses a self-hosted SearXNG instance to return results in clean, formatted output (text, markdown, or JSON). Use for research, fact-checking, finding recent information, or gathering web resources.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/web-search/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/web-search","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/web-search","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/web-search/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true}]},"prompting":{"skillsPrompt":"\n\nThe following skills provide specialized instructions for specific tasks.\nUse the read tool to load a skill's file when the task matches its description.\nIf a skill's <version> differs from a previous turn, re-read its SKILL.md before using it.\nWhen a skill file references a relative path, resolve it against the skill directory (parent of SKILL.md / dirname of the path) and use that absolute path in tool commands.\n\n<available_skills>\n <skill>\n <name>agent-browser</name>\n <description>Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection</description>\n <location>~/.openclaw/workspace/skills/agent-browser-clawdbot/SKILL.md</location>\n <version>sha256:9643b9c65476eedd</version>\n </skill>\n <skill>\n <name>chinese-calendar</name>\n <description>获取中国日历信息，包括节假日、调休安排、工作日判断。使用 timor.tech API，数据每年自动更新。Use when: 需要判断某天是否是工作日、查询节假日安排、了解调休情况。</description>\n <location>~/.openclaw/workspace/skills/chinese-calendar/SKILL.md</location>\n <version>sha256:40a9ba942647e641</version>\n </skill>\n <skill>\n <name>clawhub</name>\n <description>Search ClawHub for skills when a requested capability is not already available; install, verify, update, publish, or sync skills.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/clawhub/SKILL.md</location>\n <version>sha256:6bb70d95cbd1a545</version>\n </skill>\n <skill>\n <name>Code</name>\n <description>Coding workflow with planning, implementation, verification, and testing for clean software development.</description>\n <location>~/.openclaw/workspace/skills/openclaw-code/SKILL.md</location>\n <version>sha256:f09694134cc55cc0</version>\n </skill>\n <skill>\n <name>database-admin</name>\n <description>Comprehensive database administration, schema management, data operations, and optimization. Use when Codex needs to: (1) Create or modify database tables with proper indexing, (2) Perform bulk data insertions with type safety and constraint handling, (3) Execute complex queries with JOINs, aggregations, and subqueries, (4) Optimize query performance through indexing and execution plan analysis, (5) Manage database backups, restores, and migrations, (6) Handle special data types (BIGINT, UUID, JSONB, enums), (7) Implement transactional safety with ACID compliance, or (8) Debug and resolve database errors including constraint violations, type mismatches, and foreign key issues</description>\n <location>~/.openclaw/workspace/skills/database-admin/SKILL.md</location>\n <version>sha256:7649e43727f2fb8b</version>\n </skill>\n <skill>\n <name>database-schema-designer</name>\n <description>Database Schema Designer</description>\n <location>~/.openclaw/workspace/skills/database-schema-designer/SKILL.md</location>\n <version>sha256:3f2282ec8135dfdf</version>\n </skill>\n <skill>\n <name>db-query</name>\n <description>Query project databases with automatic SSH tunnel management. Use when you need to execute SQL queries against configured databases, especially those accessible only via SSH tunnels. Automatically manages SSH connection lifecycle (establishes tunnel before query, closes after). Supports multiple databases distinguished by description/name from config file.</description>\n <location>~/.openclaw/workspace/skills/db-query/SKILL.md</location>\n <version>sha256:eaffe1e617f2b8f2</version>\n </skill>\n <skill>\n <name>db-schema</name>\n <description>Generate database schemas, migrations, and ERD diagrams from plain English descriptions — supports PostgreSQL, MySQL, SQLite, and MongoDB with proper indexes and constraints.</description>\n <location>~/.openclaw/workspace/skills/db-schema-gen/SKILL.md</location>\n <version>sha256:c511ce8bb306f227</version>\n </skill>\n <skill>\n <name>deep-research-pro</name>\n <description>Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.</description>\n <location>~/.openclaw/workspace/skills/deep-research-pro/SKILL.md</location>\n <version>sha256:a780f8bbec442198</version>\n </skill>\n <skill>\n <name>diagram-maker</name>\n <description>Create SVG/HTML or Excalidraw diagrams for concepts, architecture, flows, and whiteboards.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker/SKILL.md</location>\n <version>sha256:6195e03fcb04a1a6</version>\n </skill>\n <skill>\n <name>dingtalk-channel-rules</name>\n <description>钉钉会话输出规则。在钉钉会话中始终生效。</description>\n <location>~/.openclaw/plugin-skills/dingtalk-channel-rules/SKILL.md</location>\n <version>sha256:4abd7ff39fd8ab23</version>\n </skill>\n <skill>\n <name>dingtalk-troubleshoot</name>\n <description>钉钉连接器问题排查。包含 dws CLI 常见错误处理、授权问题排查和连接故障诊断。\n当 dws 命令执行失败、授权异常、连接中断时自动激活。</description>\n <location>~/.openclaw/plugin-skills/dingtalk-troubleshoot/SKILL.md</location>\n <version>sha256:831e1260e77bcf9b</version>\n </skill>\n <skill>\n <name>docker-essentials</name>\n <description>Essential Docker commands and workflows for container management, image operations, and debugging.</description>\n <location>~/.openclaw/workspace/skills/docker-essentials/SKILL.md</location>\n <version>sha256:bf8120febd5275b0</version>\n </skill>\n <skill>\n <name>dws</name>\n <description>管理钉钉产品能力(AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/开放平台文档/钉钉文档/钉钉云盘/AI听记/邮箱/在线电子表格/知识库等)。当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报（钉钉日志模版）、读写钉钉文档、上传下载云盘文件、查询听记纪要、收发邮件、读写在线电子表格(axls)、管理钉钉知识库时使用。</description>\n <location>~/.openclaw/skills/dws/SKILL.md</location>\n <version>sha256:25f131a2e41eeeca</version>\n </skill>\n <skill>\n <name>dws-cli</name>\n <description>在钉钉会话中通过 dws CLI 管理钉钉产品能力（AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/工作台等）。\n当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报时使用。</description>\n <location>~/.openclaw/plugin-skills/dws-cli/SKILL.md</location>\n <version>sha256:e1e0cb89e56c9a8d</version>\n </skill>\n <skill>\n <name>healthcheck</name>\n <description>Audit/harden OpenClaw hosts: SSH, firewall, updates, exposure, backups, disk encryption, gateway security.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck/SKILL.md</location>\n <version>sha256:518ec6e0482cf1c7</version>\n </skill>\n <skill>\n <name>humanizer</name>\n <description>Remove signs of AI-generated writing from text. Use when editing or reviewing\ntext to make it sound more natural and human-written. Based on Wikipedia's\ncomprehensive "Signs of AI writing" guide. Detects and fixes patterns including:\ninflated symbolism, promotional language, superficial -ing analyses, vague\nattributions, em dash overuse, rule of three, AI vocabulary words, negative\nparallelisms, and excessive conjunctive phrases.</description>\n <location>~/.openclaw/workspace/skills/humanizer/SKILL.md</location>\n <version>sha256:d7ce483d368e4301</version>\n </skill>\n <skill>\n <name>imap-smtp-email</name>\n <description>Read and send email via IMAP/SMTP. Check for new/unread messages, fetch content, search mailboxes, mark as read/unread, and send emails with attachments. Supports multiple accounts. Works with any IMAP/SMTP server including Gmail, Outlook, 163.com, vip.163.com, 126.com, vip.126.com, 188.com, and vip.188.com.</description>\n <location>~/.openclaw/workspace/skills/imap-smtp-email/SKILL.md</location>\n <version>sha256:01345a894f2863a4</version>\n </skill>\n <skill>\n <name>meme-maker</name>\n <description>Search meme templates, suggest formats, and generate local or hosted image memes.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md</location>\n <version>sha256:8b8832f9f0f58b16</version>\n </skill>\n <skill>\n <name>multi-search-engine</name>\n <description>Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required.</description>\n <location>~/.openclaw/workspace/skills/multi-search-engine/SKILL.md</location>\n <version>sha256:ef2d2706e82ad0fc</version>\n </skill>\n <skill>\n <name>MySQL</name>\n <description>Write correct MySQL queries with proper character sets, indexing, transactions, and production patterns.</description>\n <location>~/.openclaw/workspace/skills/MySQL/SKILL.md</location>\n <version>sha256:97003e1d9502f459</version>\n </skill>\n <skill>\n <name>news-summary</name>\n <description>This skill should be used when the user asks for news updates, daily briefings, or what's happening in the world. Fetches news from trusted international RSS feeds and can create voice summaries.</description>\n <location>~/.openclaw/workspace/skills/news-summary/SKILL.md</location>\n <version>sha256:1b4c45b56f567567</version>\n </skill>\n <skill>\n <name>node-connect</name>\n <description>Diagnose OpenClaw Android, iOS, or macOS node pairing, QR/setup code, route, auth, and connection failures.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md</location>\n <version>sha256:cc39026fd84e5cfa</version>\n </skill>\n <skill>\n <name>node-inspect-debugger</name>\n <description>Debug Node.js with node inspect, --inspect, breakpoints, CDP, heap, and CPU profiles.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md</location>\n <version>sha256:50d2f6828eaf4bbf</version>\n </skill>\n <skill>\n <name>obsidian-official-cli</name>\n <description>Work with Obsidian vaults using the official Obsidian CLI (v1.12+). Open, search, create, move, and manage notes from the terminal. Use when working with Obsidian vaults for note management, file operations, searching content, managing tasks, properties, links, plugins, themes, sync operations, or any command-line interaction with Obsidian.</description>\n <location>~/.openclaw/workspace/skills/obsidian-official-cli/SKILL.md</location>\n <version>sha256:d9c66873957818a1</version>\n </skill>\n <skill>\n <name>opencode-controller</name>\n <description>Control and operate Opencode via slash commands. Use this skill to manage sessions, select models, switch agents (plan/build), and coordinate coding through Opencode.</description>\n <location>~/.openclaw/workspace/skills/opencode-controller/SKILL.md</location>\n <version>sha256:6535df08ba8b0bbc</version>\n </skill>\n <skill>\n <name>openspec</name>\n <description>Spec-driven development with OpenSpec CLI. Use when building features, migrations, refactors, or any structured development work. Manages proposal → specs → design → tasks → implementation workflows. Supports custom schemas (TDD, rapid, etc.). Trigger on requests involving feature planning, spec writing, change management, or when /opsx commands are mentioned.</description>\n <location>~/.openclaw/workspace/skills/openspec/SKILL.md</location>\n <version>sha256:720f832d1879e281</version>\n </skill>\n <skill>\n <name>python-debugpy</name>\n <description>Debug Python with pdb, breakpoint(), post-mortem inspection, and debugpy remote attach.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md</location>\n <version>sha256:bfb1891204b67260</version>\n </skill>\n <skill>\n <name>qiushi-openclaw-skills</name>\n <description>求是 OpenClaw Skills 是基于毛泽东思想方法论的 AI Agent 技能集合，按照 OpenClaw 技能格式进行改造，旨在为 AI 提供系统化的思考和行动框架。</description>\n <location>~/.openclaw/workspace/skills/qiushi-openclaw-skill/SKILL.md</location>\n <version>sha256:b21d933b7f61584d</version>\n </skill>\n <skill>\n <name>requirements-analyst</name>\n <description>将产品需求转化为前后端可执行的技术规范，输出离线性优先的结构化文档。当用户提出产品需求、PRD、功能描述或模糊想法时自动触发。</description>\n <location>~/.openclaw/workspace/skills/requirements-analyst/SKILL.md</location>\n <version>sha256:f766e6b7b585e7e8</version>\n </skill>\n <skill>\n <name>rss-ai-reader</name>\n <description>📰 RSS AI 阅读器 — 自动抓取订阅、LLM生成摘要、多渠道推送！\n支持 Claude/OpenAI 生成中文摘要，推送到飞书/Telegram/Email。\n触发条件: 用户要求订阅RSS、监控博客、抓取新闻、生成摘要、设置定时抓取、\n"帮我订阅"、"监控这个网站"、"每天推送新闻"、RSS/Atom feed 相关。</description>\n <location>~/.openclaw/workspace/skills/rss-ai-reader/SKILL.md</location>\n <version>sha256:0abcc8438f644cdb</version>\n </skill>\n <skill>\n <name>skill-creator</name>\n <description>Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md</location>\n <version>sha256:d15b25d332d835eb</version>\n </skill>\n <skill>\n <name>spike</name>\n <description>Run throwaway prototypes to validate feasibility, compare approaches, and report a verdict.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md</location>\n <version>sha256:1258cde2d0e53267</version>\n </skill>\n <skill>\n <name>Spreadsheet & Data Wrangling Master</name>\n <description>Complete spreadsheet methodology — data cleanup, transformation, analysis, dashboards, automation, and reporting. Works with CSV, Excel, Google Sheets, or any tabular data. Use when the user needs to clean messy data, build reports, create dashboards, automate recurring spreadsheet tasks, or transform data between formats.</description>\n <location>~/.openclaw/workspace/skills/afrexai-spreadsheet-master/SKILL.md</location>\n <version>sha256:6505a92ae50c1cdd</version>\n </skill>\n <skill>\n <name>sql-toolkit</name>\n <description>Query, design, migrate, and optimize SQL databases. Use when working with SQLite, PostgreSQL, or MySQL — schema design, writing queries, creating migrations, indexing, backup/restore, and debugging slow queries. No ORMs required.</description>\n <location>~/.openclaw/workspace/skills/sql-toolkit/SKILL.md</location>\n <version>sha256:515ecf904449a3cd</version>\n </skill>\n <skill>\n <name>taskflow</name>\n <description>Coordinate multi-step detached tasks as one durable TaskFlow job with owner context, state, waits, and child tasks.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md</location>\n <version>sha256:d8b6a48d329aef0a</version>\n </skill>\n <skill>\n <name>taskflow-inbox-triage</name>\n <description>Example TaskFlow pattern for inbox triage, intent routing, waiting on replies, and later summaries.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md</location>\n <version>sha256:1fe28cd924d8ae2d</version>\n </skill>\n <skill>\n <name>using-superpowers</name>\n <description>Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions</description>\n <location>~/.openclaw/workspace/skills/using-superpowers/SKILL.md</location>\n <version>sha256:81d921b16502091f</version>\n </skill>\n <skill>\n <name>weather</name>\n <description>Get current weather and forecasts (no API key required).</description>\n <location>~/.openclaw/workspace/skills/weather/SKILL.md</location>\n <version>sha256:1ca0c8d768ad603e</version>\n </skill>\n <skill>\n <name>web-search</name>\n <description>This skill should be used when users need to search the web for information, find current content, look up news articles, search for images, or find videos. 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'2026-01-12 16:10:47', update_time ='2026-01-12 16:10:47' where ecid = 'hsjm' and order_no ='PO2026000002';\n把 时间等于下单时间。\n-- 采购订单\n-- 批量更新 dmp_serp.dmp_mc_purchase_order 的 create_time update_time中的日期部分为 对应的order_date\n\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\n把 时间等于下单时间。\n\n-- 采购明细表\n-- 批量更新 dmp_serp.dmp_mc_purchase_order_detail 的 create_time update_time中的日期部分为 对应的order_date","messages":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate \n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","timestamp":1784109538113,"idempotencyKey":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"},{"role":"user","content":"保留原时分秒，只改日期部分\nUPDATE dmp_spom.dmp_mrp_main_plan_task SET plan_start_time='2026-07-07 11:03:04',create_time='2026-07-07 10:58:04',update_time='2026-07-07 11:03:04' WHERE ecid='kanda' AND plan_no='PLAN2026071414255193535522';\n-- 物料计划主表\n-- 批量更新 dmp_spom.dmp_mrp_main_plan_task 的 create_time update_time中的日期部分为 对应的plan_start_time","timestamp":1784109596434,"idempotencyKey":"7c28a842-8a9f-4cc4-9094-1298d4ce1a5c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**物料计划主表 `dmp_mrp_main_plan_task`**，要把 `create_time` 和 `update_time` 的日期部分改为对应的 `plan_start_time`，保留原时分秒。\n\n## 更新脚本\n\n```sql\nUPDATE dmp_spom.dmp_mrp_main_plan_task\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'kanda';\n```\n\n范围条件？我看你前面说的是\"计划开始时间是7月份的数据\"，但 `plan_start_time` 看样例已经是 7 月份。你对范围有要求吗？比如：\n\n```sql\n-- 如果只要 plan_start_time 在7月份的数据\nAND plan_start_time >= '2026-07-01' AND plan_start_time < '2026-08-01'\n\n-- 或者只要 plan_start_time 日期和 create_time 日期不一致的（避免无意义更新）\nAND DATE(plan_start_time) != DATE(create_time)\n```\n\n需要加范围条件吗？还是直接全量更新 `ecid = 'kanda'` 的所有记录？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":1021,"output":340,"cacheRead":26880,"cacheWrite":0,"totalTokens":28241,"cost":{"input":0.001021,"output":0.0006799999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0017009999999999998}},"stopReason":"stop","timestamp":1784109597165,"responseId":"3546056a-f6d1-4805-b0d2-e4d5739d2293"}],"tools":[{"name":"agents_list","description":"List agent ids allowed for `sessions_spawn runtime=\"subagent\"`.","parameters":{"type":"object","properties":{}}},{"name":"apply_patch","description":"Apply a patch to one or more files using the apply_patch format. The input should include *** Begin Patch and *** End Patch markers.","parameters":{"type":"object","required":["input"],"properties":{"input":{"type":"string","description":"Patch content using the *** Begin Patch/End Patch format."}}}},{"name":"create_goal","description":"Create a goal only when explicitly requested by the user or system instructions. Fails if a goal already exists; use user-facing goal controls to clear it.","parameters":{"type":"object","required":["objective"],"properties":{"objective":{"type":"string","description":"Concrete objective to pursue. Create only when explicitly requested."},"token_budget":{"type":"number","description":"Optional positive token budget for this goal."}}}},{"name":"cron","description":"Manage Gateway cron jobs and wake events: reminders, check-back-later, delayed follow-ups, recurring work. Do not emulate scheduling with exec sleep/process polling.\n\nMain cron => system events for heartbeat. Isolated cron => background task in `openclaw tasks`.\n\nACTIONS:\n- status: scheduler status\n- list: compact job summaries; includeDisabled true includes disabled; use get for full job details; agentId filter auto-filled from session\n- get: one job; needs jobId\n- add: create job; needs job object\n- update: patch job; needs jobId + patch\n- remove: delete job; needs jobId\n- run: run only if due by default; needs jobId; pass runMode=\"force\" to trigger now\n- runs: run history; needs jobId\n- wake: send wake event; needs text, optional mode; defaults the target to the calling session/agent. Pass top-level sessionKey/agentId to wake a different lane owned by the calling agent.\n\nJOB SCHEMA (for add action):\n{\n \"name\": \"string\",\n \"schedule\": { ... }, // required\n \"trigger\": { \"script\": \"...\", \"once\": false }, // optional condition gate for every/cron\n \"payload\": { ... }, // required\n \"delivery\": { ... }, // optional announce for isolated/current/session, webhook for any target\n \"sessionTarget\": \"main\" | \"isolated\" | \"current\" | \"session:<id>\",\n \"enabled\": true | false // default true\n}\n\nSESSION TARGET OPTIONS:\n- \"main\": main session; requires payload.kind=\"systemEvent\"\n- \"isolated\": ephemeral isolated session; requires payload.kind=\"agentTurn\"\n- \"current\": bind current session at creation\n- \"session:<id>\": persistent named session\n\nDEFAULTS:\n- payload.kind=\"systemEvent\" → defaults to \"main\"\n- payload.kind=\"agentTurn\" → defaults to \"isolated\"\nCurrent binding needs sessionTarget=\"current\".\n\nSCHEDULE TYPES (schedule.kind):\n- \"at\": one-shot absolute time\n { \"kind\": \"at\", \"at\": \"<ISO-8601 timestamp>\" }\n- \"every\": recurring interval\n { \"kind\": \"every\", \"everyMs\": <ms>, \"anchorMs\": <optional-ms> }\n- \"cron\": expr in supplied timezone, or Gateway host local timezone when tz omitted\n { \"kind\": \"cron\", \"expr\": \"<cron-expression>\", \"tz\": \"<optional-IANA-timezone>\" }\n Write expr in local wall-clock time; do not convert the requested local time to UTC first.\n tz omitted => Gateway host local timezone, not UTC.\n Example 6pm Shanghai daily: { \"kind\": \"cron\", \"expr\": \"0 18 * * *\", \"tz\": \"Asia/Shanghai\" }\n\nOptional trigger scripts poll headlessly on every/cron schedules and run the payload only when they return { fire: true }.\n\nFor \"at\", ISO timestamps without timezone are UTC.\n\nPAYLOAD TYPES (payload.kind):\n- \"systemEvent\": inject text as system event\n { \"kind\": \"systemEvent\", \"text\": \"<message>\" }\n- \"agentTurn\": run agent with prompt; isolated/current/session only\n { \"kind\": \"agentTurn\", \"message\": \"<prompt>\", \"model\": \"<optional>\", \"thinking\": \"<optional>\", \"timeoutSeconds\": <optional, 0=no timeout> }\n\nDELIVERY (top-level):\n { \"mode\": \"none|announce|webhook\", \"channel\": \"<optional>\", \"to\": \"<optional>\", \"threadId\": \"<optional>\", \"bestEffort\": <optional-bool> }\n - isolated agentTurn default when omitted: \"announce\"\n - announce: send to chat channel; isolated/current/session only; optional channel/to\n - threadId: chat thread/topic id\n - webhook: POST finished-run event to delivery.to URL\n - Specific chat/recipient: set announce delivery.channel/to; do not call messaging tools inside run.\n\nCRITICAL CONSTRAINTS:\n- sessionTarget=\"main\" REQUIRES payload.kind=\"systemEvent\"\n- sessionTarget=\"isolated\" | \"current\" | \"session:xxx\" REQUIRES payload.kind=\"agentTurn\"\n- Webhook: delivery.mode=\"webhook\" and delivery.to URL.\nDefault: prefer isolated agentTurn jobs unless the user explicitly wants current-session binding.\n\nRESTRICTED CRON RUNS:\n- Some isolated cron runs get narrow self-cleanup grant: status/list self-only, get/runs current job only, mutation only remove current job.\n\nWAKE MODES (for wake action):\n- \"next-heartbeat\" default: wake next heartbeat\n- \"now\": wake immediately\n\nUse jobId canonical; id accepted compat. contextMessages (0-10) adds previous messages as job context.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"includeDisabled":{"type":"boolean"},"job":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"additionalProperties":true},"jobId":{"type":"string"},"id":{"type":"string"},"patch":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"additionalProperties":true},"text":{"type":"string"},"mode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"runMode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Run mode for action=\"run\": omitted defaults to \"due\"; use \"force\" to trigger now."},"contextMessages":{"type":"integer","minimum":0,"maximum":10},"agentId":{"type":"string","description":"List filter for `action: \"list\"`; wake target override for `action: \"wake\"` (defaults to the calling agent when omitted on wake)"},"sessionKey":{"type":"string","description":"Wake target override for `action: \"wake\"`: route the event to another session owned by the calling agent. Defaults to the resolved calling-session key when omitted."}},"additionalProperties":true}},{"name":"edit","description":"Edit a single file using exact text replacement. Every edits[].oldText must match a unique, non-overlapping region of the original file. If two changes affect the same block or nearby lines, merge them into one edit instead of emitting overlapping edits. Do not include large unchanged regions just to connect distant changes.","parameters":{"type":"object","required":["path","edits"],"properties":{"path":{"type":"string","description":"Path to the file to edit (relative or absolute)"},"edits":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"One or more targeted replacements. Each edit is matched against the original file, not incrementally. Do not include overlapping or nested edits. If two changes touch the same block or nearby lines, merge them into one edit instead."}},"additionalProperties":false}},{"name":"exec","description":"Execute shell commands with background continuation for work that starts now. Use yieldMs/background to continue later via process tool. For long-running work started now, rely on automatic completion wake when it is enabled and the command emits output or fails; otherwise use process to confirm completion. Use process whenever you need logs, status, input, or intervention. Do not use exec sleep or delay loops for reminders or deferred follow-ups; use cron instead. Use pty=true for TTY-required commands (terminal UIs, coding agents).","parameters":{"type":"object","required":["command"],"properties":{"command":{"type":"string","description":"Shell command to execute"},"workdir":{"type":"string","description":"Working directory. Blank/whitespace values are invalid; omit to use the default cwd."},"env":{"type":"object","patternProperties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"yieldMs":{"type":"number","description":"Milliseconds to wait before backgrounding (default 10000)"},"background":{"type":"boolean","description":"Run in background immediately"},"timeout":{"type":"number","description":"Timeout in seconds (optional, kills process on expiry)"},"pty":{"type":"boolean","description":"Run in a pseudo-terminal (PTY) when available (TTY-required CLIs, coding agents)"},"elevated":{"type":"boolean","description":"Run on the host with elevated permissions (if allowed)"},"host":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Exec host/target (auto|sandbox|gateway|node)."},"security":{"type":"string","description":"Ignored for normal calls; exec security is set by tools.exec.security and host approvals."},"ask":{"type":"string","description":"Baseline ask comes from tools.exec.ask and host approvals; channel-origin calls ignore per-call ask when effective host ask is off."},"node":{"type":"string","description":"Node id/name for host=node."}}}},{"name":"gateway","description":"Gateway restart/config/update. Before config edits, use config.schema.lookup with targeted dot path. Prefer config.patch for partial merge; config.apply only full replace. For config.patch that intentionally removes array entries, pass replacePaths with the exact affected array path. Writes hot-reload or restart as needed. Always pass human `note` for post-restart delivery. If post-restart work must continue internally, pass one-shot `continuationMessage`; visible follow-up from that turn must use the message tool. Do not write restart sentinel files directly.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"delayMs":{"type":"integer","minimum":0},"reason":{"type":"string"},"continuationMessage":{"type":"string"},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"path":{"type":"string"},"raw":{"type":"string"},"baseHash":{"type":"string"},"replacePaths":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"maxItems":256},"sessionKey":{"type":"string"},"note":{"type":"string"},"restartDelayMs":{"type":"integer","minimum":0}}}},{"name":"get_goal","description":"Get the current goal for this thread, including status and token usage.","parameters":{"type":"object","properties":{}}},{"name":"image","description":"Analyze images with available vision model. Use image for one path/URL, images for max 20. Prompt says what to inspect.","parameters":{"type":"object","properties":{"prompt":{"type":"string"},"image":{"type":"string","description":"One image path/URL."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Image paths/URLs; maxImages default 20."},"model":{"type":"string"},"maxBytesMb":{"type":"number","exclusiveMinimum":0},"maxImages":{"type":"integer","minimum":1}}}},{"name":"image_generate","description":"Create/edit images. Session chats: background task; do not call image_generate again for same request; wait completion, then report through the current visible-reply contract with generated media attached using structured media fields. Transparent: outputFormat=\"png\" or \"webp\" + background=\"transparent\"; OpenAI also supports openai.background and routes default model to gpt-image-1.5. Use action=\"list\" for providers/models/readiness/auth, \"status\" for active task.","parameters":{"type":"object","properties":{"action":{"type":"string","description":"\"generate\" default, \"status\" active task, \"list\" providers/models."},"prompt":{"type":"string","description":"Image prompt."},"image":{"type":"string","description":"Reference image path/URL for edit."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference images for edit or style reference; max 14."},"model":{"type":"string","description":"Provider/model override, e.g. openai/gpt-image-2; transparent OpenAI: openai/gpt-image-1.5."},"filename":{"type":"string","description":"Output filename hint; basename preserved in managed media dir."},"size":{"type":"string","description":"Size hint: 1024x1024, 1536x1024, 1024x1536, 2048x2048, 3840x2160."},"aspectRatio":{"type":"string","description":"Aspect ratio: 1:1, 2:1, 20:9, 19.5:9, 2:3, 3:2, 2.35:1, 3:4, 4:3, 4:5, 5:4, 9:16, 9:19.5, 9:20, 16:9, 21:9, 1:2, 4:1, 1:4, 8:1, 1:8."},"resolution":{"type":"string","description":"Resolution: 1K, 2K, 4K; useful for Google."},"quality":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Quality: low, medium, high, auto."},"outputFormat":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Output format: png, jpeg, webp."},"background":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Background: transparent, opaque, auto. Transparent needs png/webp output."},"openai":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"fal":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"count":{"type":"integer","description":"Image count 1-4.","minimum":1,"maximum":4},"timeoutMs":{"type":"integer","description":"Provider timeout ms (300000 tends to be a safe amount).","minimum":1}}}},{"name":"memory_get","description":"Safe exact excerpt read from MEMORY.md or memory/*.md. Defaults to a bounded excerpt when lines are omitted, includes truncation/continuation info when more content exists, and `corpus=wiki` reads from registered compiled-wiki supplements.","parameters":{"type":"object","properties":{"path":{"type":"string"},"from":{"type":"integer","minimum":1},"lines":{"type":"integer","minimum":1},"corpus":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}},"required":["path"],"additionalProperties":false}},{"name":"memory_search","description":"Mandatory recall step: semantically search MEMORY.md + memory/*.md (and optional session transcripts) before answering questions about prior work, decisions, dates, people, preferences, or todos. Optional `corpus=wiki` or `corpus=all` also searches registered compiled-wiki supplements. `corpus=memory` restricts hits to indexed memory files (excludes session transcript chunks from ranking). `corpus=sessions` restricts hits to indexed session transcripts (same visibility rules as session history tools). If response has disabled=true, memory retrieval is unavailable and should be surfaced to the user.","parameters":{"type":"object","properties":{"query":{"type":"string"},"maxResults":{"type":"integer","minimum":1},"minScore":{"type":"number"},"corpus":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}},"required":["query"],"additionalProperties":false}},{"name":"message","description":"Send/delete/manage channel messages. Supports actions: send.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"channel":{"type":"string"},"target":{"type":"string","description":"Recipient/channel: E.164 for WhatsApp/Signal, Telegram chat id/@username, Discord/Slack/Mattermost <channelId|user:ID|channel:ID>, or iMessage handle/chat_id"},"targets":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"accountId":{"type":"string"},"dryRun":{"type":"boolean"},"message":{"type":"string"},"effectId":{"type":"string","description":"Effect id/name for sendWithEffect."},"effect":{"type":"string","description":"Alias for effectId."},"media":{"type":"string","description":"Media URL/path. data: use buffer."},"filename":{"type":"string"},"buffer":{"type":"string","description":"Base64 attachment payload; data URL ok."},"contentType":{"type":"string"},"mimeType":{"type":"string"},"caption":{"type":"string"},"attachments":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Structured attachments; each entry uses media."},"replyTo":{"type":"string"},"threadId":{"type":"string"},"asVoice":{"type":"boolean"},"silent":{"type":"boolean"},"quoteText":{"type":"string","description":"Telegram reply quote text."},"gifPlayback":{"type":"boolean"},"forceDocument":{"type":"boolean","description":"Send image/GIF/video as document; avoids compression."},"asDocument":{"type":"boolean","description":"Alias for forceDocument."},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1}}}},{"name":"node_inference","description":"Discover and run chat-capable Ollama models installed on paired desktop/server nodes. Use action=discover first, then action=run with a node and model from that result. Inference stays on the selected node.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"node":{"type":"string","description":"Connected node id or display name. Required when ambiguous."},"model":{"type":"string","description":"Exact local model name returned by discover."},"prompt":{"type":"string","description":"Prompt for action=run."},"system":{"type":"string","description":"Optional system prompt for action=run."},"temperature":{"type":"number","minimum":0,"maximum":2},"maxTokens":{"type":"integer","minimum":1,"maximum":8192},"timeoutMs":{"type":"integer","minimum":1,"maximum":600000}},"additionalProperties":false}},{"name":"nodes","description":"Discover/control paired nodes: status, describe, pairing, notify, camera/photos/screen/location/notifications/invoke. Use file_fetch for files.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"node":{"type":"string"},"requestId":{"type":"string"},"title":{"type":"string"},"body":{"type":"string"},"sound":{"type":"string"},"priority":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"delivery":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"facing":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"camera_snap: front/back/both; camera_clip: front/back only."},"maxWidth":{"type":"integer","minimum":1},"quality":{"type":"number","minimum":0,"maximum":1},"delayMs":{"type":"integer","minimum":0},"deviceId":{"type":"string"},"limit":{"type":"integer","minimum":1,"maximum":20},"duration":{"type":"string"},"durationMs":{"type":"integer","minimum":1,"maximum":300000},"includeAudio":{"type":"boolean"},"fps":{"type":"number","exclusiveMinimum":0},"screenIndex":{"type":"integer","minimum":0},"outPath":{"type":"string"},"maxAgeMs":{"type":"integer","minimum":0},"locationTimeoutMs":{"type":"integer","minimum":1},"desiredAccuracy":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"notificationAction":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"notificationKey":{"type":"string"},"notificationReplyText":{"type":"string"},"invokeCommand":{"type":"string"},"invokeParamsJson":{"type":"string"},"invokeTimeoutMs":{"type":"integer","minimum":1}}}},{"name":"pdf","description":"Analyze PDFs with model. Anthropic/Google native PDF when supported; else text/image extraction. Use pdf for one, pdfs for max 10; prompt says what to inspect.","parameters":{"type":"object","properties":{"prompt":{"type":"string"},"pdf":{"type":"string","description":"One PDF path/URL."},"pdfs":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"PDF paths/URLs; max 10."},"pages":{"type":"string","description":"Pages, e.g. \"1-5\", \"1,3,5-7\"; default all."},"model":{"type":"string"},"maxBytesMb":{"type":"number","exclusiveMinimum":0}}}},{"name":"process","description":"Manage running exec sessions for commands already started: list, poll, log, write, send-keys, submit, paste, kill. Use poll/log when you need status, logs, quiet-success confirmation, or completion confirmation when automatic completion wake is unavailable. Use poll/log also for input-wait hints. Use write/send-keys/submit/paste/kill for input or intervention. Do not use process polling to emulate timers or reminders; use cron for scheduled follow-ups.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","description":"Process action (list|poll|log|write|send-keys|submit|paste|kill|clear|remove)"},"sessionId":{"type":"string","description":"Session id for actions other than list"},"data":{"type":"string","description":"Data to write for write"},"keys":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Key tokens to send for send-keys"},"hex":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Hex bytes to send for send-keys"},"literal":{"type":"string","description":"Literal string for send-keys"},"text":{"type":"string","description":"Text to paste for paste"},"bracketed":{"type":"boolean","description":"Wrap paste in bracketed mode"},"eof":{"type":"boolean","description":"Close stdin after write"},"offset":{"type":"number","description":"Log offset"},"limit":{"type":"number","description":"Log length"},"timeout":{"type":"number","description":"For poll: wait up to this many milliseconds before returning; max 30000 ms, higher values are clamped to 30000","minimum":0}}}},{"name":"read","description":"Read the contents of a file. Supports text files and images (jpg, png, gif, webp, bmp). Images are sent as attachments. For text files, output is truncated to 2000 lines or 50KB (whichever is hit first). Use offset/limit for large files. When you need the full file, continue with offset until complete.","parameters":{"type":"object","required":["path"],"properties":{"path":{"type":"string","description":"Path to the file to read (relative or absolute)"},"offset":{"type":"number","description":"Line number to start reading from (1-indexed)"},"limit":{"type":"number","description":"Maximum number of lines to read"}}}},{"name":"session_status","description":"Show /status-like card for current/visible session: model, usage, time, cost, tasks. Use `sessionKey=\"current\"` for current session; UI labels like `openclaw-tui` are not keys. `model` sets session override; `model=default` resets. Use for active model/session config questions.","parameters":{"type":"object","properties":{"sessionKey":{"type":"string"},"model":{"type":"string"}}}},{"name":"sessions_history","description":"Fetch sanitized history for visible session. Use before replying, debugging, resuming; supports limit, offset pagination, and tool-message inclusion.","parameters":{"type":"object","required":["sessionKey"],"properties":{"sessionKey":{"type":"string"},"limit":{"type":"integer","minimum":1},"offset":{"type":"integer","minimum":0},"includeTools":{"type":"boolean"}}}},{"name":"sessions_list","description":"List visible sessions; filter by kind, label, agentId, search, activity, archive state. Use before sessions_history or sessions_send target selection.","parameters":{"type":"object","properties":{"kinds":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"limit":{"type":"integer","minimum":1},"activeMinutes":{"type":"integer","minimum":1},"messageLimit":{"type":"integer","minimum":0},"label":{"type":"string","minLength":1},"agentId":{"type":"string","minLength":1,"maxLength":64},"search":{"type":"string","minLength":1},"archived":{"type":"boolean"},"includeDerivedTitles":{"type":"boolean"},"includeLastMessage":{"type":"boolean"}}}},{"name":"sessions_send","description":"Send message to visible session by sessionKey/label, or configured agent by agentId; sessionKey wins when redundant label metadata is present. Thread-scoped chats rejected; target parent channel session. Creates missing configured-agent main session; waits for reply when available.","parameters":{"type":"object","required":["message"],"properties":{"sessionKey":{"type":"string"},"label":{"type":"string","minLength":1,"maxLength":512},"agentId":{"type":"string","minLength":1,"maxLength":64},"message":{"type":"string"},"timeoutSeconds":{"type":"integer","minimum":0}}}},{"name":"sessions_spawn","description":"Spawn clean child session; default `runtime=\"subagent\"`. `mode=\"run\"` one-shot background work. Subagents inherit parent workspace. Native subagents get task in first visible `[Subagent Task]` message. Native only: `context=\"fork\"` only when child needs current transcript; else omit or `isolated`. Use for fresh child-session work. Delegate sidecar/parallel tasks: batch file reads, multi-step searches, data collection. Avoid delegating quick lookups or single-file reads unless policy prefers delegation. After spawning, do non-overlapping work while run-mode results return.","parameters":{"type":"object","required":["task"],"properties":{"task":{"type":"string"},"taskName":{"type":"string","description":"Stable alias for later targeting; lowercase letters/digits/underscores/hyphens, starts letter."},"label":{"type":"string"},"runtime":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"agentId":{"type":"string"},"model":{"type":"string"},"thinking":{"type":"string"},"cwd":{"type":"string"},"mode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"cleanup":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"sandbox":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"context":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Native context. Omit/\"isolated\" for clean child; \"fork\" only when child needs requester transcript."},"lightContext":{"type":"boolean","description":"Light bootstrap context; runtime=\"subagent\" only."},"attachments":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"maxItems":50},"attachAs":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}}}},{"name":"sessions_yield","description":"End current turn. Use after spawning subagents; results arrive as next message.","parameters":{"type":"object","properties":{"message":{"type":"string"}}}},{"name":"skill_workshop","description":"Create, update, revise, list, inspect, apply, reject, or quarantine Skill Workshop proposals when reusable procedures should be captured, improved, or explicitly approved.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"create = new skill; update = existing live skill; revise = existing pending proposal; list/inspect discover pending proposals (not filesystem search); apply/reject/quarantine are explicit lifecycle actions."},"proposal_id":{"type":"string","description":"Existing proposal id for action=inspect, action=revise, action=apply, action=reject, or action=quarantine."},"name":{"type":"string","description":"Skill/proposal name. Required for create; for inspect/revise when proposal_id is unknown, resolves a pending proposal or returns candidates."},"query":{"type":"string","description":"Optional query for action=list."},"status":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Optional proposal status filter for action=list."},"limit":{"type":"integer","minimum":1,"maximum":50,"description":"Maximum proposals to return for action=list. Defaults to 20."},"description":{"type":"string","maxLength":160,"description":"Skill description for create/update/revise; max 160 bytes. On update, concise text shortens the proposal listing entry."},"skill_name":{"type":"string","description":"Existing skill name or key for action=update."},"proposal_content":{"type":"string","description":"Full proposed procedure markdown for action=create, action=update, or action=revise. It will be stored as PROPOSAL.md. Keep under configured skills.workshop.maxSkillBytes; default max is 40000 bytes."},"support_files":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Optional support files to store with the proposal."},"goal":{"type":"string","description":"Proposal or improvement goal."},"evidence":{"type":"string","description":"Short evidence or notes."},"reason":{"type":"string","description":"Optional reason for action=apply, action=reject, or action=quarantine."}},"additionalProperties":false}},{"name":"subagents","description":"List active and recent subagents for the requester session. If sessions_yield exists, use it for completion; do not poll wait loops.","parameters":{"type":"object","properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"recentMinutes":{"type":"integer","minimum":1}}}},{"name":"tts","description":"Use only for explicit audio intent (voice/speech/TTS) or active TTS config. Never use for ordinary text replies. Audio auto-delivered from tool result; after success follow reply instructions, no duplicate text/audio.","parameters":{"type":"object","required":["text"],"properties":{"text":{"type":"string","description":"Text to speak."},"channel":{"type":"string","description":"Channel id; output-format hint."},"timeoutMs":{"type":"integer","description":"Provider timeout ms.","minimum":1}}}},{"name":"update_goal","description":"Mark the current goal complete only when achieved, or blocked only after the same blocking condition recurs for at least three consecutive goal turns. Do not use blocked for ordinary difficulty or missing polish.","parameters":{"type":"object","required":["status"],"properties":{"status":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"complete | blocked."},"note":{"type":"string","description":"Short status note."}}}},{"name":"update_plan","description":"Update current run plan. Use for non-trivial multi-step work; keep plan current while executing. Short steps; max one `in_progress`; skip for simple one-step work.","parameters":{"type":"object","required":["plan"],"properties":{"explanation":{"type":"string","description":"Short note: what changed."},"plan":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"minItems":1,"description":"Ordered steps; max one in_progress."}}}},{"name":"video_generate","description":"Create videos. Session chats: background task; do not call video_generate again for same request; wait completion, then report through the current visible-reply contract with generated media attached using structured media fields. \"status\" checks active task. Duration may round to provider-supported value.","parameters":{"type":"object","properties":{"action":{"type":"string","description":"\"generate\" default, \"status\" active task, \"list\" providers/models."},"prompt":{"type":"string","description":"Video prompt."},"image":{"type":"string","description":"One reference image path/URL."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference images; max 9."},"imageRoles":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"`image` + `images` roles by index after de-dupe. Values: first_frame, last_frame, reference_image; empty string leaves unset."},"video":{"type":"string","description":"One reference video path/URL."},"videos":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference videos; max 4."},"videoRoles":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"`video` + `videos` roles by index after de-dupe. Value: reference_video; empty string leaves unset."},"model":{"type":"string","description":"Provider/model override, e.g. qwen/wan2.6-t2v."},"filename":{"type":"string","description":"Output filename hint; basename preserved in managed media dir."},"size":{"type":"string","description":"Size hint, e.g. 1280x720, 1920x1080."},"aspectRatio":{"type":"string","description":"Aspect ratio: 1:1, 16:9, 9:16, \"adaptive\", or provider value; unsupported normalized/ignored."},"resolution":{"type":"string","description":"Resolution: 360P, 480P, 540P, 720P, 768P, 1080P, 4K, or provider value; unsupported normalized/ignored."},"durationSeconds":{"type":"integer","description":"Target seconds; may round to nearest supported duration.","minimum":1},"audio":{"type":"boolean","description":"Generated-audio toggle."},"watermark":{"type":"boolean","description":"Watermark toggle."},"providerOptions":{"type":"object","patternProperties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Provider JSON options, e.g. {\"seed\":42}. Keys/types must match provider capabilities; mismatch skips candidate. Use action=list for accepted keys."},"timeoutMs":{"type":"integer","description":"Provider timeout ms.","minimum":1}}}},{"name":"write","description":"Write content to a file. Creates the file if it doesn't exist, overwrites if it does. Automatically creates parent directories.","parameters":{"type":"object","required":["path","content"],"properties":{"path":{"type":"string","description":"Path to the file to write (relative or absolute)"},"content":{"type":"string","description":"Content to write to the file"}}}}],"imagesCount":0,"streamStrategy":"boundary-aware:openai-completions","transport":"auto","transcriptLeafId":"d5aa3d7c"}}
|
||
{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","source":"runtime","type":"prompt.submitted","ts":"2026-07-15T10:02:17.212Z","seq":4,"sourceSeq":32,"sessionId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","sessionKey":"agent:main:dashboard:2fdf88e4-fa3f-46c2-b547-384e2c048b11","runId":"dea79fe3-9e82-4fcc-932b-78fe7ffb7ea2","workspaceDir":"/home/yangxuan/.openclaw/workspace","provider":"deepseek","modelId":"deepseek-v4-flash","modelApi":"openai-completions","data":{"prompt":"采购订单\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37' where ecid = 'hsjm' and order_no ='PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 16:10:47', update_time ='2026-01-12 16:10:47' where ecid = 'hsjm' and order_no ='PO2026000002';\n把 时间等于下单时间。\n-- 采购订单\n-- 批量更新 dmp_serp.dmp_mc_purchase_order 的 create_time update_time中的日期部分为 对应的order_date\n\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\n把 时间等于下单时间。\n\n-- 采购明细表\n-- 批量更新 dmp_serp.dmp_mc_purchase_order_detail 的 create_time update_time中的日期部分为 对应的order_date","systemPrompt":{"truncated":true,"reason":"trajectory-field-size-limit","originalChars":39560,"limitChars":32768},"messages":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate \n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","timestamp":1784109538113,"idempotencyKey":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"},{"role":"user","content":"保留原时分秒，只改日期部分\nUPDATE dmp_spom.dmp_mrp_main_plan_task SET plan_start_time='2026-07-07 11:03:04',create_time='2026-07-07 10:58:04',update_time='2026-07-07 11:03:04' WHERE ecid='kanda' AND plan_no='PLAN2026071414255193535522';\n-- 物料计划主表\n-- 批量更新 dmp_spom.dmp_mrp_main_plan_task 的 create_time update_time中的日期部分为 对应的plan_start_time","timestamp":1784109596434,"idempotencyKey":"7c28a842-8a9f-4cc4-9094-1298d4ce1a5c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**物料计划主表 `dmp_mrp_main_plan_task`**，要把 `create_time` 和 `update_time` 的日期部分改为对应的 `plan_start_time`，保留原时分秒。\n\n## 更新脚本\n\n```sql\nUPDATE dmp_spom.dmp_mrp_main_plan_task\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'kanda';\n```\n\n范围条件？我看你前面说的是\"计划开始时间是7月份的数据\"，但 `plan_start_time` 看样例已经是 7 月份。你对范围有要求吗？比如：\n\n```sql\n-- 如果只要 plan_start_time 在7月份的数据\nAND plan_start_time >= '2026-07-01' AND plan_start_time < '2026-08-01'\n\n-- 或者只要 plan_start_time 日期和 create_time 日期不一致的（避免无意义更新）\nAND DATE(plan_start_time) != DATE(create_time)\n```\n\n需要加范围条件吗？还是直接全量更新 `ecid = 'kanda'` 的所有记录？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":1021,"output":340,"cacheRead":26880,"cacheWrite":0,"totalTokens":28241,"cost":{"input":0.001021,"output":0.0006799999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0017009999999999998}},"stopReason":"stop","timestamp":1784109597165,"responseId":"3546056a-f6d1-4805-b0d2-e4d5739d2293"}],"imagesCount":0}}
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{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","source":"runtime","type":"model.completed","ts":"2026-07-15T10:02:22.962Z","seq":5,"sourceSeq":33,"sessionId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","sessionKey":"agent:main:dashboard:2fdf88e4-fa3f-46c2-b547-384e2c048b11","runId":"dea79fe3-9e82-4fcc-932b-78fe7ffb7ea2","workspaceDir":"/home/yangxuan/.openclaw/workspace","provider":"deepseek","modelId":"deepseek-v4-flash","modelApi":"openai-completions","data":{"aborted":false,"externalAbort":false,"timedOut":false,"idleTimedOut":false,"timedOutDuringCompaction":false,"timedOutDuringToolExecution":false,"timedOutByRunBudget":false,"promptErrorSource":null,"usage":{"input":537,"output":666,"cacheRead":28160,"total":29363},"promptCache":{"lastCallUsage":{"input":537,"output":666,"cacheRead":28160,"cacheWrite":0,"total":29363},"lastCacheTouchAt":1784109737239},"compactionCount":0,"assistantTexts":["明白，两个表一起处理，都是**采购订单**相关，用 `order_date` 作为日期源。\n\n## 采购订单主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购订单明细表\n\n明细表需要通过 `order_no` 和 `ecid` 关联主表获取 `order_date`：\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order_detail pd\nJOIN dmp_serp.dmp_mc_purchase_order po \n ON pd.ecid = po.ecid AND pd.order_no = po.order_no\nSET \n pd.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pd.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE pd.ecid = 'hsjm';\n```\n\n同样你提到的 **plan_arrival_date**——明细表里也有这个字段，看你样例里也在改它。但你的需求描述里只提了 `create_time` 和 `update_time`，`plan_arrival_date` 是否需要基于主表的 `plan_arrival_date` 同步更新？如果需要，可以加上：\n\n```sql\n-- 在明细表的 SET 中加上 plan_arrival_date 同步\n pd.plan_arrival_date = po.plan_arrival_date,\n```\n\n---\n\n汇总一下你到目前为止的更新清单：\n\n| 序号 | 表 | 日期源字段 |\n|------|-----|-----------|\n| 1 | `dmp_serp.dmp_om_order` | `om_orderdate` |\n| 2 | `dmp_serp.dmp_om_productinfo` | 关联主表 `om_orderdate` |\n| 3 | `dmp_spom.dmp_mrp_main_plan_task` | `plan_start_time` |\n| 4 | `dmp_serp.dmp_mc_purchase_order` | `order_date` |\n| 5 | `dmp_serp.dmp_mc_purchase_order_detail` | 关联主表 `order_date` |\n\n还有其他表要处理吗？一次性都帮你搞定 😄"],"finalPromptText":"采购订单\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37' where ecid = 'hsjm' and order_no ='PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 16:10:47', update_time ='2026-01-12 16:10:47' where ecid = 'hsjm' and order_no ='PO2026000002';\n把 时间等于下单时间。\n-- 采购订单\n-- 批量更新 dmp_serp.dmp_mc_purchase_order 的 create_time update_time中的日期部分为 对应的order_date\n\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\n把 时间等于下单时间。\n\n-- 采购明细表\n-- 批量更新 dmp_serp.dmp_mc_purchase_order_detail 的 create_time update_time中的日期部分为 对应的order_date","messagesSnapshot":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate \n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","timestamp":1784109538113,"idempotencyKey":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"},{"role":"user","content":"保留原时分秒，只改日期部分\nUPDATE dmp_spom.dmp_mrp_main_plan_task SET plan_start_time='2026-07-07 11:03:04',create_time='2026-07-07 10:58:04',update_time='2026-07-07 11:03:04' WHERE ecid='kanda' AND plan_no='PLAN2026071414255193535522';\n-- 物料计划主表\n-- 批量更新 dmp_spom.dmp_mrp_main_plan_task 的 create_time update_time中的日期部分为 对应的plan_start_time","timestamp":1784109596434,"idempotencyKey":"7c28a842-8a9f-4cc4-9094-1298d4ce1a5c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**物料计划主表 `dmp_mrp_main_plan_task`**，要把 `create_time` 和 `update_time` 的日期部分改为对应的 `plan_start_time`，保留原时分秒。\n\n## 更新脚本\n\n```sql\nUPDATE dmp_spom.dmp_mrp_main_plan_task\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'kanda';\n```\n\n范围条件？我看你前面说的是\"计划开始时间是7月份的数据\"，但 `plan_start_time` 看样例已经是 7 月份。你对范围有要求吗？比如：\n\n```sql\n-- 如果只要 plan_start_time 在7月份的数据\nAND plan_start_time >= '2026-07-01' AND plan_start_time < '2026-08-01'\n\n-- 或者只要 plan_start_time 日期和 create_time 日期不一致的（避免无意义更新）\nAND DATE(plan_start_time) != DATE(create_time)\n```\n\n需要加范围条件吗？还是直接全量更新 `ecid = 'kanda'` 的所有记录？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":1021,"output":340,"cacheRead":26880,"cacheWrite":0,"totalTokens":28241,"cost":{"input":0.001021,"output":0.0006799999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0017009999999999998}},"stopReason":"stop","timestamp":1784109597165,"responseId":"3546056a-f6d1-4805-b0d2-e4d5739d2293"},{"role":"user","content":[{"type":"text","text":"采购订单\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37' where ecid = 'hsjm' and order_no ='PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 16:10:47', update_time ='2026-01-12 16:10:47' where ecid = 'hsjm' and order_no ='PO2026000002';\n把 时间等于下单时间。\n-- 采购订单\n-- 批量更新 dmp_serp.dmp_mc_purchase_order 的 create_time update_time中的日期部分为 对应的order_date\n\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\n把 时间等于下单时间。\n\n-- 采购明细表\n-- 批量更新 dmp_serp.dmp_mc_purchase_order_detail 的 create_time update_time中的日期部分为 对应的order_date"}],"timestamp":1784109737216},{"role":"assistant","content":[{"type":"text","text":"明白，两个表一起处理，都是**采购订单**相关，用 `order_date` 作为日期源。\n\n## 采购订单主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购订单明细表\n\n明细表需要通过 `order_no` 和 `ecid` 关联主表获取 `order_date`：\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order_detail pd\nJOIN dmp_serp.dmp_mc_purchase_order po \n ON pd.ecid = po.ecid AND pd.order_no = po.order_no\nSET \n pd.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pd.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE pd.ecid = 'hsjm';\n```\n\n同样你提到的 **plan_arrival_date**——明细表里也有这个字段，看你样例里也在改它。但你的需求描述里只提了 `create_time` 和 `update_time`，`plan_arrival_date` 是否需要基于主表的 `plan_arrival_date` 同步更新？如果需要，可以加上：\n\n```sql\n-- 在明细表的 SET 中加上 plan_arrival_date 同步\n pd.plan_arrival_date = po.plan_arrival_date,\n```\n\n---\n\n汇总一下你到目前为止的更新清单：\n\n| 序号 | 表 | 日期源字段 |\n|------|-----|-----------|\n| 1 | `dmp_serp.dmp_om_order` | `om_orderdate` |\n| 2 | `dmp_serp.dmp_om_productinfo` | 关联主表 `om_orderdate` |\n| 3 | `dmp_spom.dmp_mrp_main_plan_task` | `plan_start_time` |\n| 4 | `dmp_serp.dmp_mc_purchase_order` | `order_date` |\n| 5 | `dmp_serp.dmp_mc_purchase_order_detail` | 关联主表 `order_date` |\n\n还有其他表要处理吗？一次性都帮你搞定 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":537,"output":666,"cacheRead":28160,"cacheWrite":0,"totalTokens":29363,"cost":{"input":0.0005369999999999999,"output":0.0013319999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0018689999999999998}},"stopReason":"stop","timestamp":1784109737239,"responseId":"4b7762d3-e202-4784-90ea-1934b8437ee9"}]}}
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Use when editing or reviewing\ntext to make it sound more natural and human-written. Based on Wikipedia's\ncomprehensive \"Signs of AI writing\" guide. Detects and fixes patterns including:\ninflated symbolism, promotional language, superficial -ing analyses, vague\nattributions, em dash overuse, rule of three, AI vocabulary words, negative\nparallelisms, and excessive conjunctive phrases.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"imap-smtp-email","name":"imap-smtp-email","description":"Read and send email via IMAP/SMTP. Check for new/unread messages, fetch content, search mailboxes, mark as read/unread, and send emails with attachments. Supports multiple accounts. Works with any IMAP/SMTP server including Gmail, Outlook, 163.com, vip.163.com, 126.com, vip.126.com, 188.com, and vip.188.com.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"meme-maker","name":"meme-maker","description":"Search meme templates, suggest formats, and generate local or hosted image memes.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"multi-search-engine","name":"multi-search-engine","description":"Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"MySQL","name":"MySQL","description":"Write correct MySQL queries with proper character sets, indexing, transactions, and production patterns.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"news-summary","name":"news-summary","description":"This skill should be used when the user asks for news updates, daily briefings, or what's happening in the world. Fetches news from trusted international RSS feeds and can create voice summaries.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"node-connect","name":"node-connect","description":"Diagnose OpenClaw Android, iOS, or macOS node pairing, QR/setup code, route, auth, and connection failures.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"node-inspect-debugger","name":"node-inspect-debugger","description":"Debug Node.js with node inspect, --inspect, breakpoints, CDP, heap, and CPU profiles.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"obsidian-official-cli","name":"obsidian-official-cli","description":"Work with Obsidian vaults using the official Obsidian CLI (v1.12+). Open, search, create, move, and manage notes from the terminal. Use when working with Obsidian vaults for note management, file operations, searching content, managing tasks, properties, links, plugins, themes, sync operations, or any command-line interaction with Obsidian.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"opencode-controller","name":"opencode-controller","description":"Control and operate Opencode via slash commands. Use this skill to manage sessions, select models, switch agents (plan/build), and coordinate coding through Opencode.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"openspec","name":"openspec","description":"Spec-driven development with OpenSpec CLI. Use when building features, migrations, refactors, or any structured development work. Manages proposal → specs → design → tasks → implementation workflows. Supports custom schemas (TDD, rapid, etc.). Trigger on requests involving feature planning, spec writing, change management, or when /opsx commands are mentioned.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/openspec/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/openspec","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/openspec","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/openspec/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"python-debugpy","name":"python-debugpy","description":"Debug Python with pdb, breakpoint(), post-mortem inspection, and debugpy remote attach.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"qiushi-openclaw-skills","name":"qiushi-openclaw-skills","description":"求是 OpenClaw Skills 是基于毛泽东思想方法论的 AI Agent 技能集合，按照 OpenClaw 技能格式进行改造，旨在为 AI 提供系统化的思考和行动框架。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"requirements-analyst","name":"requirements-analyst","description":"将产品需求转化为前后端可执行的技术规范，输出离线性优先的结构化文档。当用户提出产品需求、PRD、功能描述或模糊想法时自动触发。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"rss-ai-reader","name":"rss-ai-reader","description":"📰 RSS AI 阅读器 — 自动抓取订阅、LLM生成摘要、多渠道推送！\n支持 Claude/OpenAI 生成中文摘要，推送到飞书/Telegram/Email。\n触发条件: 用户要求订阅RSS、监控博客、抓取新闻、生成摘要、设置定时抓取、\n\"帮我订阅\"、\"监控这个网站\"、\"每天推送新闻\"、RSS/Atom feed 相关。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"skill-creator","name":"skill-creator","description":"Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"spike","name":"spike","description":"Run throwaway prototypes to validate feasibility, compare approaches, and report a verdict.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"Spreadsheet & Data Wrangling Master","name":"Spreadsheet & Data Wrangling Master","description":"Complete spreadsheet methodology — data cleanup, transformation, analysis, dashboards, automation, and reporting. Works with CSV, Excel, Google Sheets, or any tabular data. Use when the user needs to clean messy data, build reports, create dashboards, automate recurring spreadsheet tasks, or transform data between formats.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"sql-toolkit","name":"sql-toolkit","description":"Query, design, migrate, and optimize SQL databases. Use when working with SQLite, PostgreSQL, or MySQL — schema design, writing queries, creating migrations, indexing, backup/restore, and debugging slow queries. No ORMs required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"taskflow","name":"taskflow","description":"Coordinate multi-step detached tasks as one durable TaskFlow job with owner context, state, waits, and child tasks.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"taskflow-inbox-triage","name":"taskflow-inbox-triage","description":"Example TaskFlow pattern for inbox triage, intent routing, waiting on replies, and later summaries.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"using-superpowers","name":"using-superpowers","description":"Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"weather","name":"weather","description":"Get current weather and forecasts (no API key required).","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/weather/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/weather","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/weather","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/weather/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"web-search","name":"web-search","description":"This skill should be used when users need to search the web for information, find current content, look up news articles, search for images, or find videos. It uses a self-hosted SearXNG instance to return results in clean, formatted output (text, markdown, or JSON). Use for research, fact-checking, finding recent information, or gathering web resources.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/web-search/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/web-search","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/web-search","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/web-search/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true}]},"prompting":{"skillsPrompt":"\n\nThe following skills provide specialized instructions for specific tasks.\nUse the read tool to load a skill's file when the task matches its description.\nIf a skill's <version> differs from a previous turn, re-read its SKILL.md before using it.\nWhen a skill file references a relative path, resolve it against the skill directory (parent of SKILL.md / dirname of the path) and use that absolute path in tool commands.\n\n<available_skills>\n <skill>\n <name>agent-browser</name>\n <description>Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection</description>\n <location>~/.openclaw/workspace/skills/agent-browser-clawdbot/SKILL.md</location>\n <version>sha256:9643b9c65476eedd</version>\n </skill>\n <skill>\n <name>chinese-calendar</name>\n <description>获取中国日历信息，包括节假日、调休安排、工作日判断。使用 timor.tech API，数据每年自动更新。Use when: 需要判断某天是否是工作日、查询节假日安排、了解调休情况。</description>\n <location>~/.openclaw/workspace/skills/chinese-calendar/SKILL.md</location>\n <version>sha256:40a9ba942647e641</version>\n </skill>\n <skill>\n <name>clawhub</name>\n <description>Search ClawHub for skills when a requested capability is not already available; install, verify, update, publish, or sync skills.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/clawhub/SKILL.md</location>\n <version>sha256:6bb70d95cbd1a545</version>\n </skill>\n <skill>\n <name>Code</name>\n <description>Coding workflow with planning, implementation, verification, and testing for clean software development.</description>\n <location>~/.openclaw/workspace/skills/openclaw-code/SKILL.md</location>\n <version>sha256:f09694134cc55cc0</version>\n </skill>\n <skill>\n <name>database-admin</name>\n <description>Comprehensive database administration, schema management, data operations, and optimization. Use when Codex needs to: (1) Create or modify database tables with proper indexing, (2) Perform bulk data insertions with type safety and constraint handling, (3) Execute complex queries with JOINs, aggregations, and subqueries, (4) Optimize query performance through indexing and execution plan analysis, (5) Manage database backups, restores, and migrations, (6) Handle special data types (BIGINT, UUID, JSONB, enums), (7) Implement transactional safety with ACID compliance, or (8) Debug and resolve database errors including constraint violations, type mismatches, and foreign key issues</description>\n <location>~/.openclaw/workspace/skills/database-admin/SKILL.md</location>\n <version>sha256:7649e43727f2fb8b</version>\n </skill>\n <skill>\n <name>database-schema-designer</name>\n <description>Database Schema Designer</description>\n <location>~/.openclaw/workspace/skills/database-schema-designer/SKILL.md</location>\n <version>sha256:3f2282ec8135dfdf</version>\n </skill>\n <skill>\n <name>db-query</name>\n <description>Query project databases with automatic SSH tunnel management. Use when you need to execute SQL queries against configured databases, especially those accessible only via SSH tunnels. Automatically manages SSH connection lifecycle (establishes tunnel before query, closes after). Supports multiple databases distinguished by description/name from config file.</description>\n <location>~/.openclaw/workspace/skills/db-query/SKILL.md</location>\n <version>sha256:eaffe1e617f2b8f2</version>\n </skill>\n <skill>\n <name>db-schema</name>\n <description>Generate database schemas, migrations, and ERD diagrams from plain English descriptions — supports PostgreSQL, MySQL, SQLite, and MongoDB with proper indexes and constraints.</description>\n <location>~/.openclaw/workspace/skills/db-schema-gen/SKILL.md</location>\n <version>sha256:c511ce8bb306f227</version>\n </skill>\n <skill>\n <name>deep-research-pro</name>\n <description>Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.</description>\n <location>~/.openclaw/workspace/skills/deep-research-pro/SKILL.md</location>\n <version>sha256:a780f8bbec442198</version>\n </skill>\n <skill>\n <name>diagram-maker</name>\n <description>Create SVG/HTML or Excalidraw diagrams for concepts, architecture, flows, and whiteboards.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker/SKILL.md</location>\n <version>sha256:6195e03fcb04a1a6</version>\n </skill>\n <skill>\n <name>dingtalk-channel-rules</name>\n <description>钉钉会话输出规则。在钉钉会话中始终生效。</description>\n <location>~/.openclaw/plugin-skills/dingtalk-channel-rules/SKILL.md</location>\n <version>sha256:4abd7ff39fd8ab23</version>\n </skill>\n <skill>\n <name>dingtalk-troubleshoot</name>\n <description>钉钉连接器问题排查。包含 dws CLI 常见错误处理、授权问题排查和连接故障诊断。\n当 dws 命令执行失败、授权异常、连接中断时自动激活。</description>\n <location>~/.openclaw/plugin-skills/dingtalk-troubleshoot/SKILL.md</location>\n <version>sha256:831e1260e77bcf9b</version>\n </skill>\n <skill>\n <name>docker-essentials</name>\n <description>Essential Docker commands and workflows for container management, image operations, and debugging.</description>\n <location>~/.openclaw/workspace/skills/docker-essentials/SKILL.md</location>\n <version>sha256:bf8120febd5275b0</version>\n </skill>\n <skill>\n <name>dws</name>\n <description>管理钉钉产品能力(AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/开放平台文档/钉钉文档/钉钉云盘/AI听记/邮箱/在线电子表格/知识库等)。当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报（钉钉日志模版）、读写钉钉文档、上传下载云盘文件、查询听记纪要、收发邮件、读写在线电子表格(axls)、管理钉钉知识库时使用。</description>\n <location>~/.openclaw/skills/dws/SKILL.md</location>\n <version>sha256:25f131a2e41eeeca</version>\n </skill>\n <skill>\n <name>dws-cli</name>\n <description>在钉钉会话中通过 dws CLI 管理钉钉产品能力（AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/工作台等）。\n当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报时使用。</description>\n <location>~/.openclaw/plugin-skills/dws-cli/SKILL.md</location>\n <version>sha256:e1e0cb89e56c9a8d</version>\n </skill>\n <skill>\n <name>healthcheck</name>\n <description>Audit/harden OpenClaw hosts: SSH, firewall, updates, exposure, backups, disk encryption, gateway security.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck/SKILL.md</location>\n <version>sha256:518ec6e0482cf1c7</version>\n </skill>\n <skill>\n <name>humanizer</name>\n <description>Remove signs of AI-generated writing from text. Use when editing or reviewing\ntext to make it sound more natural and human-written. Based on Wikipedia's\ncomprehensive "Signs of AI writing" guide. Detects and fixes patterns including:\ninflated symbolism, promotional language, superficial -ing analyses, vague\nattributions, em dash overuse, rule of three, AI vocabulary words, negative\nparallelisms, and excessive conjunctive phrases.</description>\n <location>~/.openclaw/workspace/skills/humanizer/SKILL.md</location>\n <version>sha256:d7ce483d368e4301</version>\n </skill>\n <skill>\n <name>imap-smtp-email</name>\n <description>Read and send email via IMAP/SMTP. Check for new/unread messages, fetch content, search mailboxes, mark as read/unread, and send emails with attachments. Supports multiple accounts. Works with any IMAP/SMTP server including Gmail, Outlook, 163.com, vip.163.com, 126.com, vip.126.com, 188.com, and vip.188.com.</description>\n <location>~/.openclaw/workspace/skills/imap-smtp-email/SKILL.md</location>\n <version>sha256:01345a894f2863a4</version>\n </skill>\n <skill>\n <name>meme-maker</name>\n <description>Search meme templates, suggest formats, and generate local or hosted image memes.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md</location>\n <version>sha256:8b8832f9f0f58b16</version>\n </skill>\n <skill>\n <name>multi-search-engine</name>\n <description>Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required.</description>\n <location>~/.openclaw/workspace/skills/multi-search-engine/SKILL.md</location>\n <version>sha256:ef2d2706e82ad0fc</version>\n </skill>\n <skill>\n <name>MySQL</name>\n <description>Write correct MySQL queries with proper character sets, indexing, transactions, and production patterns.</description>\n <location>~/.openclaw/workspace/skills/MySQL/SKILL.md</location>\n <version>sha256:97003e1d9502f459</version>\n </skill>\n <skill>\n <name>news-summary</name>\n <description>This skill should be used when the user asks for news updates, daily briefings, or what's happening in the world. Fetches news from trusted international RSS feeds and can create voice summaries.</description>\n <location>~/.openclaw/workspace/skills/news-summary/SKILL.md</location>\n <version>sha256:1b4c45b56f567567</version>\n </skill>\n <skill>\n <name>node-connect</name>\n <description>Diagnose OpenClaw Android, iOS, or macOS node pairing, QR/setup code, route, auth, and connection failures.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md</location>\n <version>sha256:cc39026fd84e5cfa</version>\n </skill>\n <skill>\n <name>node-inspect-debugger</name>\n <description>Debug Node.js with node inspect, --inspect, breakpoints, CDP, heap, and CPU profiles.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md</location>\n <version>sha256:50d2f6828eaf4bbf</version>\n </skill>\n <skill>\n <name>obsidian-official-cli</name>\n <description>Work with Obsidian vaults using the official Obsidian CLI (v1.12+). Open, search, create, move, and manage notes from the terminal. Use when working with Obsidian vaults for note management, file operations, searching content, managing tasks, properties, links, plugins, themes, sync operations, or any command-line interaction with Obsidian.</description>\n <location>~/.openclaw/workspace/skills/obsidian-official-cli/SKILL.md</location>\n <version>sha256:d9c66873957818a1</version>\n </skill>\n <skill>\n <name>opencode-controller</name>\n <description>Control and operate Opencode via slash commands. Use this skill to manage sessions, select models, switch agents (plan/build), and coordinate coding through Opencode.</description>\n <location>~/.openclaw/workspace/skills/opencode-controller/SKILL.md</location>\n <version>sha256:6535df08ba8b0bbc</version>\n </skill>\n <skill>\n <name>openspec</name>\n <description>Spec-driven development with OpenSpec CLI. Use when building features, migrations, refactors, or any structured development work. Manages proposal → specs → design → tasks → implementation workflows. Supports custom schemas (TDD, rapid, etc.). Trigger on requests involving feature planning, spec writing, change management, or when /opsx commands are mentioned.</description>\n <location>~/.openclaw/workspace/skills/openspec/SKILL.md</location>\n <version>sha256:720f832d1879e281</version>\n </skill>\n <skill>\n <name>python-debugpy</name>\n <description>Debug Python with pdb, breakpoint(), post-mortem inspection, and debugpy remote attach.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md</location>\n <version>sha256:bfb1891204b67260</version>\n </skill>\n <skill>\n <name>qiushi-openclaw-skills</name>\n <description>求是 OpenClaw Skills 是基于毛泽东思想方法论的 AI Agent 技能集合，按照 OpenClaw 技能格式进行改造，旨在为 AI 提供系统化的思考和行动框架。</description>\n <location>~/.openclaw/workspace/skills/qiushi-openclaw-skill/SKILL.md</location>\n <version>sha256:b21d933b7f61584d</version>\n </skill>\n <skill>\n <name>requirements-analyst</name>\n <description>将产品需求转化为前后端可执行的技术规范，输出离线性优先的结构化文档。当用户提出产品需求、PRD、功能描述或模糊想法时自动触发。</description>\n <location>~/.openclaw/workspace/skills/requirements-analyst/SKILL.md</location>\n <version>sha256:f766e6b7b585e7e8</version>\n </skill>\n <skill>\n <name>rss-ai-reader</name>\n <description>📰 RSS AI 阅读器 — 自动抓取订阅、LLM生成摘要、多渠道推送！\n支持 Claude/OpenAI 生成中文摘要，推送到飞书/Telegram/Email。\n触发条件: 用户要求订阅RSS、监控博客、抓取新闻、生成摘要、设置定时抓取、\n"帮我订阅"、"监控这个网站"、"每天推送新闻"、RSS/Atom feed 相关。</description>\n <location>~/.openclaw/workspace/skills/rss-ai-reader/SKILL.md</location>\n <version>sha256:0abcc8438f644cdb</version>\n </skill>\n <skill>\n <name>skill-creator</name>\n <description>Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md</location>\n <version>sha256:d15b25d332d835eb</version>\n </skill>\n <skill>\n <name>spike</name>\n <description>Run throwaway prototypes to validate feasibility, compare approaches, and report a verdict.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md</location>\n <version>sha256:1258cde2d0e53267</version>\n </skill>\n <skill>\n <name>Spreadsheet & Data Wrangling Master</name>\n <description>Complete spreadsheet methodology — data cleanup, transformation, analysis, dashboards, automation, and reporting. Works with CSV, Excel, Google Sheets, or any tabular data. Use when the user needs to clean messy data, build reports, create dashboards, automate recurring spreadsheet tasks, or transform data between formats.</description>\n <location>~/.openclaw/workspace/skills/afrexai-spreadsheet-master/SKILL.md</location>\n <version>sha256:6505a92ae50c1cdd</version>\n </skill>\n <skill>\n <name>sql-toolkit</name>\n <description>Query, design, migrate, and optimize SQL databases. Use when working with SQLite, PostgreSQL, or MySQL — schema design, writing queries, creating migrations, indexing, backup/restore, and debugging slow queries. No ORMs required.</description>\n <location>~/.openclaw/workspace/skills/sql-toolkit/SKILL.md</location>\n <version>sha256:515ecf904449a3cd</version>\n </skill>\n <skill>\n <name>taskflow</name>\n <description>Coordinate multi-step detached tasks as one durable TaskFlow job with owner context, state, waits, and child tasks.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md</location>\n <version>sha256:d8b6a48d329aef0a</version>\n </skill>\n <skill>\n <name>taskflow-inbox-triage</name>\n <description>Example TaskFlow pattern for inbox triage, intent routing, waiting on replies, and later summaries.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md</location>\n <version>sha256:1fe28cd924d8ae2d</version>\n </skill>\n <skill>\n <name>using-superpowers</name>\n <description>Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions</description>\n <location>~/.openclaw/workspace/skills/using-superpowers/SKILL.md</location>\n <version>sha256:81d921b16502091f</version>\n </skill>\n <skill>\n <name>weather</name>\n <description>Get current weather and forecasts (no API key required).</description>\n <location>~/.openclaw/workspace/skills/weather/SKILL.md</location>\n <version>sha256:1ca0c8d768ad603e</version>\n </skill>\n <skill>\n <name>web-search</name>\n <description>This skill should be used when users need to search the web for information, find current content, look up news articles, search for images, or find videos. 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{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","source":"runtime","type":"context.compiled","ts":"2026-07-15T10:02:53.746Z","seq":3,"sourceSeq":38,"sessionId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","sessionKey":"agent:main:dashboard:2fdf88e4-fa3f-46c2-b547-384e2c048b11","runId":"c1f0893e-59e7-4e66-8ebf-c96466a88991","workspaceDir":"/home/yangxuan/.openclaw/workspace","provider":"deepseek","modelId":"deepseek-v4-flash","modelApi":"openai-completions","data":{"systemPrompt":{"truncated":true,"reason":"trajectory-field-size-limit","originalChars":39560,"limitChars":32768},"prompt":"采购到货\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 14:59:11', update_time = '2026-01-22 14:59:11' where ecid = 'hsjm' and arrival_no = 'PAD2026000001';\n\n\n把 时间等于送货时间。\n-- 采购到货主表\n\n\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\n\n把 时间等于送货时间。\n-- 采购到货明细","messages":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate \n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","timestamp":1784109538113,"idempotencyKey":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"},{"role":"user","content":"保留原时分秒，只改日期部分\nUPDATE dmp_spom.dmp_mrp_main_plan_task SET plan_start_time='2026-07-07 11:03:04',create_time='2026-07-07 10:58:04',update_time='2026-07-07 11:03:04' WHERE ecid='kanda' AND plan_no='PLAN2026071414255193535522';\n-- 物料计划主表\n-- 批量更新 dmp_spom.dmp_mrp_main_plan_task 的 create_time update_time中的日期部分为 对应的plan_start_time","timestamp":1784109596434,"idempotencyKey":"7c28a842-8a9f-4cc4-9094-1298d4ce1a5c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**物料计划主表 `dmp_mrp_main_plan_task`**，要把 `create_time` 和 `update_time` 的日期部分改为对应的 `plan_start_time`，保留原时分秒。\n\n## 更新脚本\n\n```sql\nUPDATE dmp_spom.dmp_mrp_main_plan_task\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'kanda';\n```\n\n范围条件？我看你前面说的是\"计划开始时间是7月份的数据\"，但 `plan_start_time` 看样例已经是 7 月份。你对范围有要求吗？比如：\n\n```sql\n-- 如果只要 plan_start_time 在7月份的数据\nAND plan_start_time >= '2026-07-01' AND plan_start_time < '2026-08-01'\n\n-- 或者只要 plan_start_time 日期和 create_time 日期不一致的（避免无意义更新）\nAND DATE(plan_start_time) != DATE(create_time)\n```\n\n需要加范围条件吗？还是直接全量更新 `ecid = 'kanda'` 的所有记录？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":1021,"output":340,"cacheRead":26880,"cacheWrite":0,"totalTokens":28241,"cost":{"input":0.001021,"output":0.0006799999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0017009999999999998}},"stopReason":"stop","timestamp":1784109597165,"responseId":"3546056a-f6d1-4805-b0d2-e4d5739d2293"},{"role":"user","content":"采购订单\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37' where ecid = 'hsjm' and order_no ='PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 16:10:47', update_time ='2026-01-12 16:10:47' where ecid = 'hsjm' and order_no ='PO2026000002';\n把 时间等于下单时间。\n-- 采购订单\n-- 批量更新 dmp_serp.dmp_mc_purchase_order 的 create_time update_time中的日期部分为 对应的order_date\n\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\n把 时间等于下单时间。\n\n-- 采购明细表\n-- 批量更新 dmp_serp.dmp_mc_purchase_order_detail 的 create_time update_time中的日期部分为 对应的order_date","timestamp":1784109736511,"idempotencyKey":"dea79fe3-9e82-4fcc-932b-78fe7ffb7ea2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，两个表一起处理，都是**采购订单**相关，用 `order_date` 作为日期源。\n\n## 采购订单主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购订单明细表\n\n明细表需要通过 `order_no` 和 `ecid` 关联主表获取 `order_date`：\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order_detail pd\nJOIN dmp_serp.dmp_mc_purchase_order po \n ON pd.ecid = po.ecid AND pd.order_no = po.order_no\nSET \n pd.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pd.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE pd.ecid = 'hsjm';\n```\n\n同样你提到的 **plan_arrival_date**——明细表里也有这个字段，看你样例里也在改它。但你的需求描述里只提了 `create_time` 和 `update_time`，`plan_arrival_date` 是否需要基于主表的 `plan_arrival_date` 同步更新？如果需要，可以加上：\n\n```sql\n-- 在明细表的 SET 中加上 plan_arrival_date 同步\n pd.plan_arrival_date = po.plan_arrival_date,\n```\n\n---\n\n汇总一下你到目前为止的更新清单：\n\n| 序号 | 表 | 日期源字段 |\n|------|-----|-----------|\n| 1 | `dmp_serp.dmp_om_order` | `om_orderdate` |\n| 2 | `dmp_serp.dmp_om_productinfo` | 关联主表 `om_orderdate` |\n| 3 | `dmp_spom.dmp_mrp_main_plan_task` | `plan_start_time` |\n| 4 | `dmp_serp.dmp_mc_purchase_order` | `order_date` |\n| 5 | `dmp_serp.dmp_mc_purchase_order_detail` | 关联主表 `order_date` |\n\n还有其他表要处理吗？一次性都帮你搞定 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":537,"output":666,"cacheRead":28160,"cacheWrite":0,"totalTokens":29363,"cost":{"input":0.0005369999999999999,"output":0.0013319999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0018689999999999998}},"stopReason":"stop","timestamp":1784109737239,"responseId":"4b7762d3-e202-4784-90ea-1934b8437ee9"}],"tools":[{"name":"agents_list","description":"List agent ids allowed for `sessions_spawn runtime=\"subagent\"`.","parameters":{"type":"object","properties":{}}},{"name":"apply_patch","description":"Apply a patch to one or more files using the apply_patch format. The input should include *** Begin Patch and *** End Patch markers.","parameters":{"type":"object","required":["input"],"properties":{"input":{"type":"string","description":"Patch content using the *** Begin Patch/End Patch format."}}}},{"name":"create_goal","description":"Create a goal only when explicitly requested by the user or system instructions. Fails if a goal already exists; use user-facing goal controls to clear it.","parameters":{"type":"object","required":["objective"],"properties":{"objective":{"type":"string","description":"Concrete objective to pursue. Create only when explicitly requested."},"token_budget":{"type":"number","description":"Optional positive token budget for this goal."}}}},{"name":"cron","description":"Manage Gateway cron jobs and wake events: reminders, check-back-later, delayed follow-ups, recurring work. Do not emulate scheduling with exec sleep/process polling.\n\nMain cron => system events for heartbeat. Isolated cron => background task in `openclaw tasks`.\n\nACTIONS:\n- status: scheduler status\n- list: compact job summaries; includeDisabled true includes disabled; use get for full job details; agentId filter auto-filled from session\n- get: one job; needs jobId\n- add: create job; needs job object\n- update: patch job; needs jobId + patch\n- remove: delete job; needs jobId\n- run: run only if due by default; needs jobId; pass runMode=\"force\" to trigger now\n- runs: run history; needs jobId\n- wake: send wake event; needs text, optional mode; defaults the target to the calling session/agent. Pass top-level sessionKey/agentId to wake a different lane owned by the calling agent.\n\nJOB SCHEMA (for add action):\n{\n \"name\": \"string\",\n \"schedule\": { ... }, // required\n \"trigger\": { \"script\": \"...\", \"once\": false }, // optional condition gate for every/cron\n \"payload\": { ... }, // required\n \"delivery\": { ... }, // optional announce for isolated/current/session, webhook for any target\n \"sessionTarget\": \"main\" | \"isolated\" | \"current\" | \"session:<id>\",\n \"enabled\": true | false // default true\n}\n\nSESSION TARGET OPTIONS:\n- \"main\": main session; requires payload.kind=\"systemEvent\"\n- \"isolated\": ephemeral isolated session; requires payload.kind=\"agentTurn\"\n- \"current\": bind current session at creation\n- \"session:<id>\": persistent named session\n\nDEFAULTS:\n- payload.kind=\"systemEvent\" → defaults to \"main\"\n- payload.kind=\"agentTurn\" → defaults to \"isolated\"\nCurrent binding needs sessionTarget=\"current\".\n\nSCHEDULE TYPES (schedule.kind):\n- \"at\": one-shot absolute time\n { \"kind\": \"at\", \"at\": \"<ISO-8601 timestamp>\" }\n- \"every\": recurring interval\n { \"kind\": \"every\", \"everyMs\": <ms>, \"anchorMs\": <optional-ms> }\n- \"cron\": expr in supplied timezone, or Gateway host local timezone when tz omitted\n { \"kind\": \"cron\", \"expr\": \"<cron-expression>\", \"tz\": \"<optional-IANA-timezone>\" }\n Write expr in local wall-clock time; do not convert the requested local time to UTC first.\n tz omitted => Gateway host local timezone, not UTC.\n Example 6pm Shanghai daily: { \"kind\": \"cron\", \"expr\": \"0 18 * * *\", \"tz\": \"Asia/Shanghai\" }\n\nOptional trigger scripts poll headlessly on every/cron schedules and run the payload only when they return { fire: true }.\n\nFor \"at\", ISO timestamps without timezone are UTC.\n\nPAYLOAD TYPES (payload.kind):\n- \"systemEvent\": inject text as system event\n { \"kind\": \"systemEvent\", \"text\": \"<message>\" }\n- \"agentTurn\": run agent with prompt; isolated/current/session only\n { \"kind\": \"agentTurn\", \"message\": \"<prompt>\", \"model\": \"<optional>\", \"thinking\": \"<optional>\", \"timeoutSeconds\": <optional, 0=no timeout> }\n\nDELIVERY (top-level):\n { \"mode\": \"none|announce|webhook\", \"channel\": \"<optional>\", \"to\": \"<optional>\", \"threadId\": \"<optional>\", \"bestEffort\": <optional-bool> }\n - isolated agentTurn default when omitted: \"announce\"\n - announce: send to chat channel; isolated/current/session only; optional channel/to\n - threadId: chat thread/topic id\n - webhook: POST finished-run event to delivery.to URL\n - Specific chat/recipient: set announce delivery.channel/to; do not call messaging tools inside run.\n\nCRITICAL CONSTRAINTS:\n- sessionTarget=\"main\" REQUIRES payload.kind=\"systemEvent\"\n- sessionTarget=\"isolated\" | \"current\" | \"session:xxx\" REQUIRES payload.kind=\"agentTurn\"\n- Webhook: delivery.mode=\"webhook\" and delivery.to URL.\nDefault: prefer isolated agentTurn jobs unless the user explicitly wants current-session binding.\n\nRESTRICTED CRON RUNS:\n- Some isolated cron runs get narrow self-cleanup grant: status/list self-only, get/runs current job only, mutation only remove current job.\n\nWAKE MODES (for wake action):\n- \"next-heartbeat\" default: wake next heartbeat\n- \"now\": wake immediately\n\nUse jobId canonical; id accepted compat. contextMessages (0-10) adds previous messages as job context.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"includeDisabled":{"type":"boolean"},"job":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"additionalProperties":true},"jobId":{"type":"string"},"id":{"type":"string"},"patch":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"additionalProperties":true},"text":{"type":"string"},"mode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"runMode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Run mode for action=\"run\": omitted defaults to \"due\"; use \"force\" to trigger now."},"contextMessages":{"type":"integer","minimum":0,"maximum":10},"agentId":{"type":"string","description":"List filter for `action: \"list\"`; wake target override for `action: \"wake\"` (defaults to the calling agent when omitted on wake)"},"sessionKey":{"type":"string","description":"Wake target override for `action: \"wake\"`: route the event to another session owned by the calling agent. Defaults to the resolved calling-session key when omitted."}},"additionalProperties":true}},{"name":"edit","description":"Edit a single file using exact text replacement. Every edits[].oldText must match a unique, non-overlapping region of the original file. If two changes affect the same block or nearby lines, merge them into one edit instead of emitting overlapping edits. Do not include large unchanged regions just to connect distant changes.","parameters":{"type":"object","required":["path","edits"],"properties":{"path":{"type":"string","description":"Path to the file to edit (relative or absolute)"},"edits":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"One or more targeted replacements. Each edit is matched against the original file, not incrementally. Do not include overlapping or nested edits. If two changes touch the same block or nearby lines, merge them into one edit instead."}},"additionalProperties":false}},{"name":"exec","description":"Execute shell commands with background continuation for work that starts now. Use yieldMs/background to continue later via process tool. For long-running work started now, rely on automatic completion wake when it is enabled and the command emits output or fails; otherwise use process to confirm completion. Use process whenever you need logs, status, input, or intervention. Do not use exec sleep or delay loops for reminders or deferred follow-ups; use cron instead. Use pty=true for TTY-required commands (terminal UIs, coding agents).","parameters":{"type":"object","required":["command"],"properties":{"command":{"type":"string","description":"Shell command to execute"},"workdir":{"type":"string","description":"Working directory. Blank/whitespace values are invalid; omit to use the default cwd."},"env":{"type":"object","patternProperties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"yieldMs":{"type":"number","description":"Milliseconds to wait before backgrounding (default 10000)"},"background":{"type":"boolean","description":"Run in background immediately"},"timeout":{"type":"number","description":"Timeout in seconds (optional, kills process on expiry)"},"pty":{"type":"boolean","description":"Run in a pseudo-terminal (PTY) when available (TTY-required CLIs, coding agents)"},"elevated":{"type":"boolean","description":"Run on the host with elevated permissions (if allowed)"},"host":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Exec host/target (auto|sandbox|gateway|node)."},"security":{"type":"string","description":"Ignored for normal calls; exec security is set by tools.exec.security and host approvals."},"ask":{"type":"string","description":"Baseline ask comes from tools.exec.ask and host approvals; channel-origin calls ignore per-call ask when effective host ask is off."},"node":{"type":"string","description":"Node id/name for host=node."}}}},{"name":"gateway","description":"Gateway restart/config/update. Before config edits, use config.schema.lookup with targeted dot path. Prefer config.patch for partial merge; config.apply only full replace. For config.patch that intentionally removes array entries, pass replacePaths with the exact affected array path. Writes hot-reload or restart as needed. Always pass human `note` for post-restart delivery. If post-restart work must continue internally, pass one-shot `continuationMessage`; visible follow-up from that turn must use the message tool. Do not write restart sentinel files directly.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"delayMs":{"type":"integer","minimum":0},"reason":{"type":"string"},"continuationMessage":{"type":"string"},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"path":{"type":"string"},"raw":{"type":"string"},"baseHash":{"type":"string"},"replacePaths":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"maxItems":256},"sessionKey":{"type":"string"},"note":{"type":"string"},"restartDelayMs":{"type":"integer","minimum":0}}}},{"name":"get_goal","description":"Get the current goal for this thread, including status and token usage.","parameters":{"type":"object","properties":{}}},{"name":"image","description":"Analyze images with available vision model. Use image for one path/URL, images for max 20. Prompt says what to inspect.","parameters":{"type":"object","properties":{"prompt":{"type":"string"},"image":{"type":"string","description":"One image path/URL."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Image paths/URLs; maxImages default 20."},"model":{"type":"string"},"maxBytesMb":{"type":"number","exclusiveMinimum":0},"maxImages":{"type":"integer","minimum":1}}}},{"name":"image_generate","description":"Create/edit images. Session chats: background task; do not call image_generate again for same request; wait completion, then report through the current visible-reply contract with generated media attached using structured media fields. Transparent: outputFormat=\"png\" or \"webp\" + background=\"transparent\"; OpenAI also supports openai.background and routes default model to gpt-image-1.5. Use action=\"list\" for providers/models/readiness/auth, \"status\" for active task.","parameters":{"type":"object","properties":{"action":{"type":"string","description":"\"generate\" default, \"status\" active task, \"list\" providers/models."},"prompt":{"type":"string","description":"Image prompt."},"image":{"type":"string","description":"Reference image path/URL for edit."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference images for edit or style reference; max 14."},"model":{"type":"string","description":"Provider/model override, e.g. openai/gpt-image-2; transparent OpenAI: openai/gpt-image-1.5."},"filename":{"type":"string","description":"Output filename hint; basename preserved in managed media dir."},"size":{"type":"string","description":"Size hint: 1024x1024, 1536x1024, 1024x1536, 2048x2048, 3840x2160."},"aspectRatio":{"type":"string","description":"Aspect ratio: 1:1, 2:1, 20:9, 19.5:9, 2:3, 3:2, 2.35:1, 3:4, 4:3, 4:5, 5:4, 9:16, 9:19.5, 9:20, 16:9, 21:9, 1:2, 4:1, 1:4, 8:1, 1:8."},"resolution":{"type":"string","description":"Resolution: 1K, 2K, 4K; useful for Google."},"quality":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Quality: low, medium, high, auto."},"outputFormat":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Output format: png, jpeg, webp."},"background":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Background: transparent, opaque, auto. Transparent needs png/webp output."},"openai":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"fal":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"count":{"type":"integer","description":"Image count 1-4.","minimum":1,"maximum":4},"timeoutMs":{"type":"integer","description":"Provider timeout ms (300000 tends to be a safe amount).","minimum":1}}}},{"name":"memory_get","description":"Safe exact excerpt read from MEMORY.md or memory/*.md. Defaults to a bounded excerpt when lines are omitted, includes truncation/continuation info when more content exists, and `corpus=wiki` reads from registered compiled-wiki supplements.","parameters":{"type":"object","properties":{"path":{"type":"string"},"from":{"type":"integer","minimum":1},"lines":{"type":"integer","minimum":1},"corpus":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}},"required":["path"],"additionalProperties":false}},{"name":"memory_search","description":"Mandatory recall step: semantically search MEMORY.md + memory/*.md (and optional session transcripts) before answering questions about prior work, decisions, dates, people, preferences, or todos. Optional `corpus=wiki` or `corpus=all` also searches registered compiled-wiki supplements. `corpus=memory` restricts hits to indexed memory files (excludes session transcript chunks from ranking). `corpus=sessions` restricts hits to indexed session transcripts (same visibility rules as session history tools). If response has disabled=true, memory retrieval is unavailable and should be surfaced to the user.","parameters":{"type":"object","properties":{"query":{"type":"string"},"maxResults":{"type":"integer","minimum":1},"minScore":{"type":"number"},"corpus":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}},"required":["query"],"additionalProperties":false}},{"name":"message","description":"Send/delete/manage channel messages. Supports actions: send.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"channel":{"type":"string"},"target":{"type":"string","description":"Recipient/channel: E.164 for WhatsApp/Signal, Telegram chat id/@username, Discord/Slack/Mattermost <channelId|user:ID|channel:ID>, or iMessage handle/chat_id"},"targets":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"accountId":{"type":"string"},"dryRun":{"type":"boolean"},"message":{"type":"string"},"effectId":{"type":"string","description":"Effect id/name for sendWithEffect."},"effect":{"type":"string","description":"Alias for effectId."},"media":{"type":"string","description":"Media URL/path. data: use buffer."},"filename":{"type":"string"},"buffer":{"type":"string","description":"Base64 attachment payload; data URL ok."},"contentType":{"type":"string"},"mimeType":{"type":"string"},"caption":{"type":"string"},"attachments":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Structured attachments; each entry uses media."},"replyTo":{"type":"string"},"threadId":{"type":"string"},"asVoice":{"type":"boolean"},"silent":{"type":"boolean"},"quoteText":{"type":"string","description":"Telegram reply quote text."},"gifPlayback":{"type":"boolean"},"forceDocument":{"type":"boolean","description":"Send image/GIF/video as document; avoids compression."},"asDocument":{"type":"boolean","description":"Alias for forceDocument."},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1}}}},{"name":"node_inference","description":"Discover and run chat-capable Ollama models installed on paired desktop/server nodes. Use action=discover first, then action=run with a node and model from that result. Inference stays on the selected node.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"node":{"type":"string","description":"Connected node id or display name. Required when ambiguous."},"model":{"type":"string","description":"Exact local model name returned by discover."},"prompt":{"type":"string","description":"Prompt for action=run."},"system":{"type":"string","description":"Optional system prompt for action=run."},"temperature":{"type":"number","minimum":0,"maximum":2},"maxTokens":{"type":"integer","minimum":1,"maximum":8192},"timeoutMs":{"type":"integer","minimum":1,"maximum":600000}},"additionalProperties":false}},{"name":"nodes","description":"Discover/control paired nodes: status, describe, pairing, notify, camera/photos/screen/location/notifications/invoke. Use file_fetch for files.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"node":{"type":"string"},"requestId":{"type":"string"},"title":{"type":"string"},"body":{"type":"string"},"sound":{"type":"string"},"priority":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"delivery":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"facing":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"camera_snap: front/back/both; camera_clip: front/back only."},"maxWidth":{"type":"integer","minimum":1},"quality":{"type":"number","minimum":0,"maximum":1},"delayMs":{"type":"integer","minimum":0},"deviceId":{"type":"string"},"limit":{"type":"integer","minimum":1,"maximum":20},"duration":{"type":"string"},"durationMs":{"type":"integer","minimum":1,"maximum":300000},"includeAudio":{"type":"boolean"},"fps":{"type":"number","exclusiveMinimum":0},"screenIndex":{"type":"integer","minimum":0},"outPath":{"type":"string"},"maxAgeMs":{"type":"integer","minimum":0},"locationTimeoutMs":{"type":"integer","minimum":1},"desiredAccuracy":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"notificationAction":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"notificationKey":{"type":"string"},"notificationReplyText":{"type":"string"},"invokeCommand":{"type":"string"},"invokeParamsJson":{"type":"string"},"invokeTimeoutMs":{"type":"integer","minimum":1}}}},{"name":"pdf","description":"Analyze PDFs with model. Anthropic/Google native PDF when supported; else text/image extraction. Use pdf for one, pdfs for max 10; prompt says what to inspect.","parameters":{"type":"object","properties":{"prompt":{"type":"string"},"pdf":{"type":"string","description":"One PDF path/URL."},"pdfs":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"PDF paths/URLs; max 10."},"pages":{"type":"string","description":"Pages, e.g. \"1-5\", \"1,3,5-7\"; default all."},"model":{"type":"string"},"maxBytesMb":{"type":"number","exclusiveMinimum":0}}}},{"name":"process","description":"Manage running exec sessions for commands already started: list, poll, log, write, send-keys, submit, paste, kill. Use poll/log when you need status, logs, quiet-success confirmation, or completion confirmation when automatic completion wake is unavailable. Use poll/log also for input-wait hints. Use write/send-keys/submit/paste/kill for input or intervention. Do not use process polling to emulate timers or reminders; use cron for scheduled follow-ups.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","description":"Process action (list|poll|log|write|send-keys|submit|paste|kill|clear|remove)"},"sessionId":{"type":"string","description":"Session id for actions other than list"},"data":{"type":"string","description":"Data to write for write"},"keys":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Key tokens to send for send-keys"},"hex":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Hex bytes to send for send-keys"},"literal":{"type":"string","description":"Literal string for send-keys"},"text":{"type":"string","description":"Text to paste for paste"},"bracketed":{"type":"boolean","description":"Wrap paste in bracketed mode"},"eof":{"type":"boolean","description":"Close stdin after write"},"offset":{"type":"number","description":"Log offset"},"limit":{"type":"number","description":"Log length"},"timeout":{"type":"number","description":"For poll: wait up to this many milliseconds before returning; max 30000 ms, higher values are clamped to 30000","minimum":0}}}},{"name":"read","description":"Read the contents of a file. Supports text files and images (jpg, png, gif, webp, bmp). Images are sent as attachments. For text files, output is truncated to 2000 lines or 50KB (whichever is hit first). Use offset/limit for large files. When you need the full file, continue with offset until complete.","parameters":{"type":"object","required":["path"],"properties":{"path":{"type":"string","description":"Path to the file to read (relative or absolute)"},"offset":{"type":"number","description":"Line number to start reading from (1-indexed)"},"limit":{"type":"number","description":"Maximum number of lines to read"}}}},{"name":"session_status","description":"Show /status-like card for current/visible session: model, usage, time, cost, tasks. Use `sessionKey=\"current\"` for current session; UI labels like `openclaw-tui` are not keys. `model` sets session override; `model=default` resets. Use for active model/session config questions.","parameters":{"type":"object","properties":{"sessionKey":{"type":"string"},"model":{"type":"string"}}}},{"name":"sessions_history","description":"Fetch sanitized history for visible session. Use before replying, debugging, resuming; supports limit, offset pagination, and tool-message inclusion.","parameters":{"type":"object","required":["sessionKey"],"properties":{"sessionKey":{"type":"string"},"limit":{"type":"integer","minimum":1},"offset":{"type":"integer","minimum":0},"includeTools":{"type":"boolean"}}}},{"name":"sessions_list","description":"List visible sessions; filter by kind, label, agentId, search, activity, archive state. Use before sessions_history or sessions_send target selection.","parameters":{"type":"object","properties":{"kinds":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"limit":{"type":"integer","minimum":1},"activeMinutes":{"type":"integer","minimum":1},"messageLimit":{"type":"integer","minimum":0},"label":{"type":"string","minLength":1},"agentId":{"type":"string","minLength":1,"maxLength":64},"search":{"type":"string","minLength":1},"archived":{"type":"boolean"},"includeDerivedTitles":{"type":"boolean"},"includeLastMessage":{"type":"boolean"}}}},{"name":"sessions_send","description":"Send message to visible session by sessionKey/label, or configured agent by agentId; sessionKey wins when redundant label metadata is present. Thread-scoped chats rejected; target parent channel session. Creates missing configured-agent main session; waits for reply when available.","parameters":{"type":"object","required":["message"],"properties":{"sessionKey":{"type":"string"},"label":{"type":"string","minLength":1,"maxLength":512},"agentId":{"type":"string","minLength":1,"maxLength":64},"message":{"type":"string"},"timeoutSeconds":{"type":"integer","minimum":0}}}},{"name":"sessions_spawn","description":"Spawn clean child session; default `runtime=\"subagent\"`. `mode=\"run\"` one-shot background work. Subagents inherit parent workspace. Native subagents get task in first visible `[Subagent Task]` message. Native only: `context=\"fork\"` only when child needs current transcript; else omit or `isolated`. Use for fresh child-session work. Delegate sidecar/parallel tasks: batch file reads, multi-step searches, data collection. Avoid delegating quick lookups or single-file reads unless policy prefers delegation. After spawning, do non-overlapping work while run-mode results return.","parameters":{"type":"object","required":["task"],"properties":{"task":{"type":"string"},"taskName":{"type":"string","description":"Stable alias for later targeting; lowercase letters/digits/underscores/hyphens, starts letter."},"label":{"type":"string"},"runtime":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"agentId":{"type":"string"},"model":{"type":"string"},"thinking":{"type":"string"},"cwd":{"type":"string"},"mode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"cleanup":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"sandbox":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"context":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Native context. Omit/\"isolated\" for clean child; \"fork\" only when child needs requester transcript."},"lightContext":{"type":"boolean","description":"Light bootstrap context; runtime=\"subagent\" only."},"attachments":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"maxItems":50},"attachAs":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}}}},{"name":"sessions_yield","description":"End current turn. Use after spawning subagents; results arrive as next message.","parameters":{"type":"object","properties":{"message":{"type":"string"}}}},{"name":"skill_workshop","description":"Create, update, revise, list, inspect, apply, reject, or quarantine Skill Workshop proposals when reusable procedures should be captured, improved, or explicitly approved.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"create = new skill; update = existing live skill; revise = existing pending proposal; list/inspect discover pending proposals (not filesystem search); apply/reject/quarantine are explicit lifecycle actions."},"proposal_id":{"type":"string","description":"Existing proposal id for action=inspect, action=revise, action=apply, action=reject, or action=quarantine."},"name":{"type":"string","description":"Skill/proposal name. Required for create; for inspect/revise when proposal_id is unknown, resolves a pending proposal or returns candidates."},"query":{"type":"string","description":"Optional query for action=list."},"status":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Optional proposal status filter for action=list."},"limit":{"type":"integer","minimum":1,"maximum":50,"description":"Maximum proposals to return for action=list. Defaults to 20."},"description":{"type":"string","maxLength":160,"description":"Skill description for create/update/revise; max 160 bytes. On update, concise text shortens the proposal listing entry."},"skill_name":{"type":"string","description":"Existing skill name or key for action=update."},"proposal_content":{"type":"string","description":"Full proposed procedure markdown for action=create, action=update, or action=revise. It will be stored as PROPOSAL.md. Keep under configured skills.workshop.maxSkillBytes; default max is 40000 bytes."},"support_files":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Optional support files to store with the proposal."},"goal":{"type":"string","description":"Proposal or improvement goal."},"evidence":{"type":"string","description":"Short evidence or notes."},"reason":{"type":"string","description":"Optional reason for action=apply, action=reject, or action=quarantine."}},"additionalProperties":false}},{"name":"subagents","description":"List active and recent subagents for the requester session. If sessions_yield exists, use it for completion; do not poll wait loops.","parameters":{"type":"object","properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"recentMinutes":{"type":"integer","minimum":1}}}},{"name":"tts","description":"Use only for explicit audio intent (voice/speech/TTS) or active TTS config. Never use for ordinary text replies. Audio auto-delivered from tool result; after success follow reply instructions, no duplicate text/audio.","parameters":{"type":"object","required":["text"],"properties":{"text":{"type":"string","description":"Text to speak."},"channel":{"type":"string","description":"Channel id; output-format hint."},"timeoutMs":{"type":"integer","description":"Provider timeout ms.","minimum":1}}}},{"name":"update_goal","description":"Mark the current goal complete only when achieved, or blocked only after the same blocking condition recurs for at least three consecutive goal turns. Do not use blocked for ordinary difficulty or missing polish.","parameters":{"type":"object","required":["status"],"properties":{"status":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"complete | blocked."},"note":{"type":"string","description":"Short status note."}}}},{"name":"update_plan","description":"Update current run plan. Use for non-trivial multi-step work; keep plan current while executing. Short steps; max one `in_progress`; skip for simple one-step work.","parameters":{"type":"object","required":["plan"],"properties":{"explanation":{"type":"string","description":"Short note: what changed."},"plan":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"minItems":1,"description":"Ordered steps; max one in_progress."}}}},{"name":"video_generate","description":"Create videos. Session chats: background task; do not call video_generate again for same request; wait completion, then report through the current visible-reply contract with generated media attached using structured media fields. \"status\" checks active task. Duration may round to provider-supported value.","parameters":{"type":"object","properties":{"action":{"type":"string","description":"\"generate\" default, \"status\" active task, \"list\" providers/models."},"prompt":{"type":"string","description":"Video prompt."},"image":{"type":"string","description":"One reference image path/URL."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference images; max 9."},"imageRoles":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"`image` + `images` roles by index after de-dupe. Values: first_frame, last_frame, reference_image; empty string leaves unset."},"video":{"type":"string","description":"One reference video path/URL."},"videos":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference videos; max 4."},"videoRoles":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"`video` + `videos` roles by index after de-dupe. Value: reference_video; empty string leaves unset."},"model":{"type":"string","description":"Provider/model override, e.g. qwen/wan2.6-t2v."},"filename":{"type":"string","description":"Output filename hint; basename preserved in managed media dir."},"size":{"type":"string","description":"Size hint, e.g. 1280x720, 1920x1080."},"aspectRatio":{"type":"string","description":"Aspect ratio: 1:1, 16:9, 9:16, \"adaptive\", or provider value; unsupported normalized/ignored."},"resolution":{"type":"string","description":"Resolution: 360P, 480P, 540P, 720P, 768P, 1080P, 4K, or provider value; unsupported normalized/ignored."},"durationSeconds":{"type":"integer","description":"Target seconds; may round to nearest supported duration.","minimum":1},"audio":{"type":"boolean","description":"Generated-audio toggle."},"watermark":{"type":"boolean","description":"Watermark toggle."},"providerOptions":{"type":"object","patternProperties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Provider JSON options, e.g. {\"seed\":42}. Keys/types must match provider capabilities; mismatch skips candidate. Use action=list for accepted keys."},"timeoutMs":{"type":"integer","description":"Provider timeout ms.","minimum":1}}}},{"name":"write","description":"Write content to a file. Creates the file if it doesn't exist, overwrites if it does. Automatically creates parent directories.","parameters":{"type":"object","required":["path","content"],"properties":{"path":{"type":"string","description":"Path to the file to write (relative or absolute)"},"content":{"type":"string","description":"Content to write to the file"}}}}],"imagesCount":0,"streamStrategy":"boundary-aware:openai-completions","transport":"auto","transcriptLeafId":"d8a72b71"}}
|
||
{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","source":"runtime","type":"prompt.submitted","ts":"2026-07-15T10:02:53.777Z","seq":4,"sourceSeq":39,"sessionId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","sessionKey":"agent:main:dashboard:2fdf88e4-fa3f-46c2-b547-384e2c048b11","runId":"c1f0893e-59e7-4e66-8ebf-c96466a88991","workspaceDir":"/home/yangxuan/.openclaw/workspace","provider":"deepseek","modelId":"deepseek-v4-flash","modelApi":"openai-completions","data":{"prompt":"采购到货\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 14:59:11', update_time = '2026-01-22 14:59:11' where ecid = 'hsjm' and arrival_no = 'PAD2026000001';\n\n\n把 时间等于送货时间。\n-- 采购到货主表\n\n\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\n\n把 时间等于送货时间。\n-- 采购到货明细","systemPrompt":{"truncated":true,"reason":"trajectory-field-size-limit","originalChars":39560,"limitChars":32768},"messages":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate \n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","timestamp":1784109538113,"idempotencyKey":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"},{"role":"user","content":"保留原时分秒，只改日期部分\nUPDATE dmp_spom.dmp_mrp_main_plan_task SET plan_start_time='2026-07-07 11:03:04',create_time='2026-07-07 10:58:04',update_time='2026-07-07 11:03:04' WHERE ecid='kanda' AND plan_no='PLAN2026071414255193535522';\n-- 物料计划主表\n-- 批量更新 dmp_spom.dmp_mrp_main_plan_task 的 create_time update_time中的日期部分为 对应的plan_start_time","timestamp":1784109596434,"idempotencyKey":"7c28a842-8a9f-4cc4-9094-1298d4ce1a5c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**物料计划主表 `dmp_mrp_main_plan_task`**，要把 `create_time` 和 `update_time` 的日期部分改为对应的 `plan_start_time`，保留原时分秒。\n\n## 更新脚本\n\n```sql\nUPDATE dmp_spom.dmp_mrp_main_plan_task\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'kanda';\n```\n\n范围条件？我看你前面说的是\"计划开始时间是7月份的数据\"，但 `plan_start_time` 看样例已经是 7 月份。你对范围有要求吗？比如：\n\n```sql\n-- 如果只要 plan_start_time 在7月份的数据\nAND plan_start_time >= '2026-07-01' AND plan_start_time < '2026-08-01'\n\n-- 或者只要 plan_start_time 日期和 create_time 日期不一致的（避免无意义更新）\nAND DATE(plan_start_time) != DATE(create_time)\n```\n\n需要加范围条件吗？还是直接全量更新 `ecid = 'kanda'` 的所有记录？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":1021,"output":340,"cacheRead":26880,"cacheWrite":0,"totalTokens":28241,"cost":{"input":0.001021,"output":0.0006799999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0017009999999999998}},"stopReason":"stop","timestamp":1784109597165,"responseId":"3546056a-f6d1-4805-b0d2-e4d5739d2293"},{"role":"user","content":"采购订单\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37' where ecid = 'hsjm' and order_no ='PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 16:10:47', update_time ='2026-01-12 16:10:47' where ecid = 'hsjm' and order_no ='PO2026000002';\n把 时间等于下单时间。\n-- 采购订单\n-- 批量更新 dmp_serp.dmp_mc_purchase_order 的 create_time update_time中的日期部分为 对应的order_date\n\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\n把 时间等于下单时间。\n\n-- 采购明细表\n-- 批量更新 dmp_serp.dmp_mc_purchase_order_detail 的 create_time update_time中的日期部分为 对应的order_date","timestamp":1784109736511,"idempotencyKey":"dea79fe3-9e82-4fcc-932b-78fe7ffb7ea2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，两个表一起处理，都是**采购订单**相关，用 `order_date` 作为日期源。\n\n## 采购订单主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购订单明细表\n\n明细表需要通过 `order_no` 和 `ecid` 关联主表获取 `order_date`：\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order_detail pd\nJOIN dmp_serp.dmp_mc_purchase_order po \n ON pd.ecid = po.ecid AND pd.order_no = po.order_no\nSET \n pd.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pd.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE pd.ecid = 'hsjm';\n```\n\n同样你提到的 **plan_arrival_date**——明细表里也有这个字段，看你样例里也在改它。但你的需求描述里只提了 `create_time` 和 `update_time`，`plan_arrival_date` 是否需要基于主表的 `plan_arrival_date` 同步更新？如果需要，可以加上：\n\n```sql\n-- 在明细表的 SET 中加上 plan_arrival_date 同步\n pd.plan_arrival_date = po.plan_arrival_date,\n```\n\n---\n\n汇总一下你到目前为止的更新清单：\n\n| 序号 | 表 | 日期源字段 |\n|------|-----|-----------|\n| 1 | `dmp_serp.dmp_om_order` | `om_orderdate` |\n| 2 | `dmp_serp.dmp_om_productinfo` | 关联主表 `om_orderdate` |\n| 3 | `dmp_spom.dmp_mrp_main_plan_task` | `plan_start_time` |\n| 4 | `dmp_serp.dmp_mc_purchase_order` | `order_date` |\n| 5 | `dmp_serp.dmp_mc_purchase_order_detail` | 关联主表 `order_date` |\n\n还有其他表要处理吗？一次性都帮你搞定 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":537,"output":666,"cacheRead":28160,"cacheWrite":0,"totalTokens":29363,"cost":{"input":0.0005369999999999999,"output":0.0013319999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0018689999999999998}},"stopReason":"stop","timestamp":1784109737239,"responseId":"4b7762d3-e202-4784-90ea-1934b8437ee9"}],"imagesCount":0}}
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{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","source":"runtime","type":"model.completed","ts":"2026-07-15T10:02:59.794Z","seq":5,"sourceSeq":40,"sessionId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","sessionKey":"agent:main:dashboard:2fdf88e4-fa3f-46c2-b547-384e2c048b11","runId":"c1f0893e-59e7-4e66-8ebf-c96466a88991","workspaceDir":"/home/yangxuan/.openclaw/workspace","provider":"deepseek","modelId":"deepseek-v4-flash","modelApi":"openai-completions","data":{"aborted":false,"externalAbort":false,"timedOut":false,"idleTimedOut":false,"timedOutDuringCompaction":false,"timedOutDuringToolExecution":false,"timedOutByRunBudget":false,"promptErrorSource":null,"usage":{"input":427,"output":719,"cacheRead":29312,"total":30458},"promptCache":{"lastCallUsage":{"input":427,"output":719,"cacheRead":29312,"cacheWrite":0,"total":30458},"lastCacheTouchAt":1784109773806},"compactionCount":0,"assistantTexts":["明白，日期源是 `ship_date`（送货时间/发货时间）。\n\n## 采购到货主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购到货明细表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival_detail ad\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON ad.ecid = a.ecid AND ad.arrival_no = a.arrival_no\nSET \n ad.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n ad.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ad.ecid = 'hsjm';\n```\n\n不过我看你的例子里，`ship_date` 和 `arrival_date` 都是 `'2026-01-22'`（同一天）。你说\"时间等于**送货时间**\"，那就是用 `ship_date` 作为日期源，没错吧？还是说你想用 `arrival_date`（到货时间）？\n\n---\n\n## 📋 完整更新清单（截至目前）\n\n| 序号 | 表 | 数据库 | 日期源字段 | 关联方式 |\n|------|-----|--------|-----------|---------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 直接更新 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate` | JOIN 主表 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 直接更新 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 直接更新 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date` | JOIN 主表 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 直接更新 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date` | JOIN 主表 |\n\n还继续有吗？一次性整完 😄"],"finalPromptText":"采购到货\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 14:59:11', update_time = '2026-01-22 14:59:11' where ecid = 'hsjm' and arrival_no = 'PAD2026000001';\n\n\n把 时间等于送货时间。\n-- 采购到货主表\n\n\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\n\n把 时间等于送货时间。\n-- 采购到货明细","messagesSnapshot":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate \n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","timestamp":1784109538113,"idempotencyKey":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"},{"role":"user","content":"保留原时分秒，只改日期部分\nUPDATE dmp_spom.dmp_mrp_main_plan_task SET plan_start_time='2026-07-07 11:03:04',create_time='2026-07-07 10:58:04',update_time='2026-07-07 11:03:04' WHERE ecid='kanda' AND plan_no='PLAN2026071414255193535522';\n-- 物料计划主表\n-- 批量更新 dmp_spom.dmp_mrp_main_plan_task 的 create_time update_time中的日期部分为 对应的plan_start_time","timestamp":1784109596434,"idempotencyKey":"7c28a842-8a9f-4cc4-9094-1298d4ce1a5c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**物料计划主表 `dmp_mrp_main_plan_task`**，要把 `create_time` 和 `update_time` 的日期部分改为对应的 `plan_start_time`，保留原时分秒。\n\n## 更新脚本\n\n```sql\nUPDATE dmp_spom.dmp_mrp_main_plan_task\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'kanda';\n```\n\n范围条件？我看你前面说的是\"计划开始时间是7月份的数据\"，但 `plan_start_time` 看样例已经是 7 月份。你对范围有要求吗？比如：\n\n```sql\n-- 如果只要 plan_start_time 在7月份的数据\nAND plan_start_time >= '2026-07-01' AND plan_start_time < '2026-08-01'\n\n-- 或者只要 plan_start_time 日期和 create_time 日期不一致的（避免无意义更新）\nAND DATE(plan_start_time) != DATE(create_time)\n```\n\n需要加范围条件吗？还是直接全量更新 `ecid = 'kanda'` 的所有记录？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":1021,"output":340,"cacheRead":26880,"cacheWrite":0,"totalTokens":28241,"cost":{"input":0.001021,"output":0.0006799999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0017009999999999998}},"stopReason":"stop","timestamp":1784109597165,"responseId":"3546056a-f6d1-4805-b0d2-e4d5739d2293"},{"role":"user","content":"采购订单\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37' where ecid = 'hsjm' and order_no ='PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 16:10:47', update_time ='2026-01-12 16:10:47' where ecid = 'hsjm' and order_no ='PO2026000002';\n把 时间等于下单时间。\n-- 采购订单\n-- 批量更新 dmp_serp.dmp_mc_purchase_order 的 create_time update_time中的日期部分为 对应的order_date\n\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\n把 时间等于下单时间。\n\n-- 采购明细表\n-- 批量更新 dmp_serp.dmp_mc_purchase_order_detail 的 create_time update_time中的日期部分为 对应的order_date","timestamp":1784109736511,"idempotencyKey":"dea79fe3-9e82-4fcc-932b-78fe7ffb7ea2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，两个表一起处理，都是**采购订单**相关，用 `order_date` 作为日期源。\n\n## 采购订单主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购订单明细表\n\n明细表需要通过 `order_no` 和 `ecid` 关联主表获取 `order_date`：\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order_detail pd\nJOIN dmp_serp.dmp_mc_purchase_order po \n ON pd.ecid = po.ecid AND pd.order_no = po.order_no\nSET \n pd.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pd.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE pd.ecid = 'hsjm';\n```\n\n同样你提到的 **plan_arrival_date**——明细表里也有这个字段，看你样例里也在改它。但你的需求描述里只提了 `create_time` 和 `update_time`，`plan_arrival_date` 是否需要基于主表的 `plan_arrival_date` 同步更新？如果需要，可以加上：\n\n```sql\n-- 在明细表的 SET 中加上 plan_arrival_date 同步\n pd.plan_arrival_date = po.plan_arrival_date,\n```\n\n---\n\n汇总一下你到目前为止的更新清单：\n\n| 序号 | 表 | 日期源字段 |\n|------|-----|-----------|\n| 1 | `dmp_serp.dmp_om_order` | `om_orderdate` |\n| 2 | `dmp_serp.dmp_om_productinfo` | 关联主表 `om_orderdate` |\n| 3 | `dmp_spom.dmp_mrp_main_plan_task` | `plan_start_time` |\n| 4 | `dmp_serp.dmp_mc_purchase_order` | `order_date` |\n| 5 | `dmp_serp.dmp_mc_purchase_order_detail` | 关联主表 `order_date` |\n\n还有其他表要处理吗？一次性都帮你搞定 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":537,"output":666,"cacheRead":28160,"cacheWrite":0,"totalTokens":29363,"cost":{"input":0.0005369999999999999,"output":0.0013319999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0018689999999999998}},"stopReason":"stop","timestamp":1784109737239,"responseId":"4b7762d3-e202-4784-90ea-1934b8437ee9"},{"role":"user","content":[{"type":"text","text":"采购到货\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 14:59:11', update_time = '2026-01-22 14:59:11' where ecid = 'hsjm' and arrival_no = 'PAD2026000001';\n\n\n把 时间等于送货时间。\n-- 采购到货主表\n\n\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\n\n把 时间等于送货时间。\n-- 采购到货明细"}],"timestamp":1784109773782},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `ship_date`（送货时间/发货时间）。\n\n## 采购到货主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购到货明细表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival_detail ad\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON ad.ecid = a.ecid AND ad.arrival_no = a.arrival_no\nSET \n ad.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n ad.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ad.ecid = 'hsjm';\n```\n\n不过我看你的例子里，`ship_date` 和 `arrival_date` 都是 `'2026-01-22'`（同一天）。你说\"时间等于**送货时间**\"，那就是用 `ship_date` 作为日期源，没错吧？还是说你想用 `arrival_date`（到货时间）？\n\n---\n\n## 📋 完整更新清单（截至目前）\n\n| 序号 | 表 | 数据库 | 日期源字段 | 关联方式 |\n|------|-----|--------|-----------|---------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 直接更新 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate` | JOIN 主表 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 直接更新 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 直接更新 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date` | JOIN 主表 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 直接更新 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date` | JOIN 主表 |\n\n还继续有吗？一次性整完 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":427,"output":719,"cacheRead":29312,"cacheWrite":0,"totalTokens":30458,"cost":{"input":0.00042699999999999997,"output":0.001438,"cacheRead":0,"cacheWrite":0,"total":0.001865}},"stopReason":"stop","timestamp":1784109773806,"responseId":"8409c206-8436-4c31-93df-a6c9c78ea7a5"}]}}
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Use when you need to execute SQL queries against configured databases, especially those accessible only via SSH tunnels. Automatically manages SSH connection lifecycle (establishes tunnel before query, closes after). 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Searches the web, synthesizes findings, and delivers cited reports. No API keys required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/deep-research-pro/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/deep-research-pro","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/deep-research-pro","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/deep-research-pro/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"diagram-maker","name":"diagram-maker","description":"Create SVG/HTML or Excalidraw diagrams for concepts, architecture, flows, and whiteboards.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"dingtalk-channel-rules","name":"dingtalk-channel-rules","description":"钉钉会话输出规则。在钉钉会话中始终生效。","filePath":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-channel-rules/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-channel-rules","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-channel-rules","origin":"top-level","path":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-channel-rules/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"dingtalk-troubleshoot","name":"dingtalk-troubleshoot","description":"钉钉连接器问题排查。包含 dws CLI 常见错误处理、授权问题排查和连接故障诊断。\n当 dws 命令执行失败、授权异常、连接中断时自动激活。","filePath":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-troubleshoot/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-troubleshoot","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-troubleshoot","origin":"top-level","path":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-troubleshoot/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"docker-essentials","name":"docker-essentials","description":"Essential Docker commands and workflows for container management, image operations, and debugging.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/docker-essentials/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/docker-essentials","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/docker-essentials","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/docker-essentials/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"dws","name":"dws","description":"管理钉钉产品能力(AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/开放平台文档/钉钉文档/钉钉云盘/AI听记/邮箱/在线电子表格/知识库等)。当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报（钉钉日志模版）、读写钉钉文档、上传下载云盘文件、查询听记纪要、收发邮件、读写在线电子表格(axls)、管理钉钉知识库时使用。","filePath":"$OPENCLAW_STATE_DIR/skills/dws/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/skills/dws","source":"openclaw-managed","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/skills/dws","origin":"top-level","path":"$OPENCLAW_STATE_DIR/skills/dws/SKILL.md","scope":"project","source":"openclaw-managed"},"disableModelInvocation":false,"available":true},{"id":"dws-cli","name":"dws-cli","description":"在钉钉会话中通过 dws CLI 管理钉钉产品能力（AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/工作台等）。\n当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报时使用。","filePath":"$OPENCLAW_STATE_DIR/plugin-skills/dws-cli/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dws-cli","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dws-cli","origin":"top-level","path":"$OPENCLAW_STATE_DIR/plugin-skills/dws-cli/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"healthcheck","name":"healthcheck","description":"Audit/harden OpenClaw hosts: SSH, firewall, updates, exposure, backups, disk encryption, gateway security.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"humanizer","name":"humanizer","description":"Remove signs of AI-generated writing from text. Use when editing or reviewing\ntext to make it sound more natural and human-written. Based on Wikipedia's\ncomprehensive \"Signs of AI writing\" guide. Detects and fixes patterns including:\ninflated symbolism, promotional language, superficial -ing analyses, vague\nattributions, em dash overuse, rule of three, AI vocabulary words, negative\nparallelisms, and excessive conjunctive phrases.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"imap-smtp-email","name":"imap-smtp-email","description":"Read and send email via IMAP/SMTP. Check for new/unread messages, fetch content, search mailboxes, mark as read/unread, and send emails with attachments. Supports multiple accounts. Works with any IMAP/SMTP server including Gmail, Outlook, 163.com, vip.163.com, 126.com, vip.126.com, 188.com, and vip.188.com.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"meme-maker","name":"meme-maker","description":"Search meme templates, suggest formats, and generate local or hosted image memes.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"multi-search-engine","name":"multi-search-engine","description":"Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"MySQL","name":"MySQL","description":"Write correct MySQL queries with proper character sets, indexing, transactions, and production patterns.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"news-summary","name":"news-summary","description":"This skill should be used when the user asks for news updates, daily briefings, or what's happening in the world. Fetches news from trusted international RSS feeds and can create voice summaries.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"node-connect","name":"node-connect","description":"Diagnose OpenClaw Android, iOS, or macOS node pairing, QR/setup code, route, auth, and connection failures.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"node-inspect-debugger","name":"node-inspect-debugger","description":"Debug Node.js with node inspect, --inspect, breakpoints, CDP, heap, and CPU profiles.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"obsidian-official-cli","name":"obsidian-official-cli","description":"Work with Obsidian vaults using the official Obsidian CLI (v1.12+). Open, search, create, move, and manage notes from the terminal. Use when working with Obsidian vaults for note management, file operations, searching content, managing tasks, properties, links, plugins, themes, sync operations, or any command-line interaction with Obsidian.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"opencode-controller","name":"opencode-controller","description":"Control and operate Opencode via slash commands. Use this skill to manage sessions, select models, switch agents (plan/build), and coordinate coding through Opencode.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"openspec","name":"openspec","description":"Spec-driven development with OpenSpec CLI. Use when building features, migrations, refactors, or any structured development work. Manages proposal → specs → design → tasks → implementation workflows. Supports custom schemas (TDD, rapid, etc.). Trigger on requests involving feature planning, spec writing, change management, or when /opsx commands are mentioned.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/openspec/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/openspec","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/openspec","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/openspec/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"python-debugpy","name":"python-debugpy","description":"Debug Python with pdb, breakpoint(), post-mortem inspection, and debugpy remote attach.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"qiushi-openclaw-skills","name":"qiushi-openclaw-skills","description":"求是 OpenClaw Skills 是基于毛泽东思想方法论的 AI Agent 技能集合，按照 OpenClaw 技能格式进行改造，旨在为 AI 提供系统化的思考和行动框架。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"requirements-analyst","name":"requirements-analyst","description":"将产品需求转化为前后端可执行的技术规范，输出离线性优先的结构化文档。当用户提出产品需求、PRD、功能描述或模糊想法时自动触发。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"rss-ai-reader","name":"rss-ai-reader","description":"📰 RSS AI 阅读器 — 自动抓取订阅、LLM生成摘要、多渠道推送！\n支持 Claude/OpenAI 生成中文摘要，推送到飞书/Telegram/Email。\n触发条件: 用户要求订阅RSS、监控博客、抓取新闻、生成摘要、设置定时抓取、\n\"帮我订阅\"、\"监控这个网站\"、\"每天推送新闻\"、RSS/Atom feed 相关。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"skill-creator","name":"skill-creator","description":"Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"spike","name":"spike","description":"Run throwaway prototypes to validate feasibility, compare approaches, and report a verdict.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"Spreadsheet & Data Wrangling Master","name":"Spreadsheet & Data Wrangling Master","description":"Complete spreadsheet methodology — data cleanup, transformation, analysis, dashboards, automation, and reporting. Works with CSV, Excel, Google Sheets, or any tabular data. Use when the user needs to clean messy data, build reports, create dashboards, automate recurring spreadsheet tasks, or transform data between formats.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"sql-toolkit","name":"sql-toolkit","description":"Query, design, migrate, and optimize SQL databases. Use when working with SQLite, PostgreSQL, or MySQL — schema design, writing queries, creating migrations, indexing, backup/restore, and debugging slow queries. No ORMs required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"taskflow","name":"taskflow","description":"Coordinate multi-step detached tasks as one durable TaskFlow job with owner context, state, waits, and child tasks.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"taskflow-inbox-triage","name":"taskflow-inbox-triage","description":"Example TaskFlow pattern for inbox triage, intent routing, waiting on replies, and later summaries.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"using-superpowers","name":"using-superpowers","description":"Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"weather","name":"weather","description":"Get current weather and forecasts (no API key required).","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/weather/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/weather","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/weather","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/weather/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"web-search","name":"web-search","description":"This skill should be used when users need to search the web for information, find current content, look up news articles, search for images, or find videos. It uses a self-hosted SearXNG instance to return results in clean, formatted output (text, markdown, or JSON). Use for research, fact-checking, finding recent information, or gathering web resources.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/web-search/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/web-search","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/web-search","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/web-search/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true}]},"prompting":{"skillsPrompt":"\n\nThe following skills provide specialized instructions for specific tasks.\nUse the read tool to load a skill's file when the task matches its description.\nIf a skill's <version> differs from a previous turn, re-read its SKILL.md before using it.\nWhen a skill file references a relative path, resolve it against the skill directory (parent of SKILL.md / dirname of the path) and use that absolute path in tool commands.\n\n<available_skills>\n <skill>\n <name>agent-browser</name>\n <description>Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection</description>\n <location>~/.openclaw/workspace/skills/agent-browser-clawdbot/SKILL.md</location>\n <version>sha256:9643b9c65476eedd</version>\n </skill>\n <skill>\n <name>chinese-calendar</name>\n <description>获取中国日历信息，包括节假日、调休安排、工作日判断。使用 timor.tech API，数据每年自动更新。Use when: 需要判断某天是否是工作日、查询节假日安排、了解调休情况。</description>\n <location>~/.openclaw/workspace/skills/chinese-calendar/SKILL.md</location>\n <version>sha256:40a9ba942647e641</version>\n </skill>\n <skill>\n <name>clawhub</name>\n <description>Search ClawHub for skills when a requested capability is not already available; install, verify, update, publish, or sync skills.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/clawhub/SKILL.md</location>\n <version>sha256:6bb70d95cbd1a545</version>\n </skill>\n <skill>\n <name>Code</name>\n <description>Coding workflow with planning, implementation, verification, and testing for clean software development.</description>\n <location>~/.openclaw/workspace/skills/openclaw-code/SKILL.md</location>\n <version>sha256:f09694134cc55cc0</version>\n </skill>\n <skill>\n <name>database-admin</name>\n <description>Comprehensive database administration, schema management, data operations, and optimization. Use when Codex needs to: (1) Create or modify database tables with proper indexing, (2) Perform bulk data insertions with type safety and constraint handling, (3) Execute complex queries with JOINs, aggregations, and subqueries, (4) Optimize query performance through indexing and execution plan analysis, (5) Manage database backups, restores, and migrations, (6) Handle special data types (BIGINT, UUID, JSONB, enums), (7) Implement transactional safety with ACID compliance, or (8) Debug and resolve database errors including constraint violations, type mismatches, and foreign key issues</description>\n <location>~/.openclaw/workspace/skills/database-admin/SKILL.md</location>\n <version>sha256:7649e43727f2fb8b</version>\n </skill>\n <skill>\n <name>database-schema-designer</name>\n <description>Database Schema Designer</description>\n <location>~/.openclaw/workspace/skills/database-schema-designer/SKILL.md</location>\n <version>sha256:3f2282ec8135dfdf</version>\n </skill>\n <skill>\n <name>db-query</name>\n <description>Query project databases with automatic SSH tunnel management. Use when you need to execute SQL queries against configured databases, especially those accessible only via SSH tunnels. Automatically manages SSH connection lifecycle (establishes tunnel before query, closes after). Supports multiple databases distinguished by description/name from config file.</description>\n <location>~/.openclaw/workspace/skills/db-query/SKILL.md</location>\n <version>sha256:eaffe1e617f2b8f2</version>\n </skill>\n <skill>\n <name>db-schema</name>\n <description>Generate database schemas, migrations, and ERD diagrams from plain English descriptions — supports PostgreSQL, MySQL, SQLite, and MongoDB with proper indexes and constraints.</description>\n <location>~/.openclaw/workspace/skills/db-schema-gen/SKILL.md</location>\n <version>sha256:c511ce8bb306f227</version>\n </skill>\n <skill>\n <name>deep-research-pro</name>\n <description>Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.</description>\n <location>~/.openclaw/workspace/skills/deep-research-pro/SKILL.md</location>\n <version>sha256:a780f8bbec442198</version>\n </skill>\n <skill>\n <name>diagram-maker</name>\n <description>Create SVG/HTML or Excalidraw diagrams for concepts, architecture, flows, and whiteboards.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker/SKILL.md</location>\n <version>sha256:6195e03fcb04a1a6</version>\n </skill>\n <skill>\n <name>dingtalk-channel-rules</name>\n <description>钉钉会话输出规则。在钉钉会话中始终生效。</description>\n <location>~/.openclaw/plugin-skills/dingtalk-channel-rules/SKILL.md</location>\n <version>sha256:4abd7ff39fd8ab23</version>\n </skill>\n <skill>\n <name>dingtalk-troubleshoot</name>\n <description>钉钉连接器问题排查。包含 dws CLI 常见错误处理、授权问题排查和连接故障诊断。\n当 dws 命令执行失败、授权异常、连接中断时自动激活。</description>\n <location>~/.openclaw/plugin-skills/dingtalk-troubleshoot/SKILL.md</location>\n <version>sha256:831e1260e77bcf9b</version>\n </skill>\n <skill>\n <name>docker-essentials</name>\n <description>Essential Docker commands and workflows for container management, image operations, and debugging.</description>\n <location>~/.openclaw/workspace/skills/docker-essentials/SKILL.md</location>\n <version>sha256:bf8120febd5275b0</version>\n </skill>\n <skill>\n <name>dws</name>\n <description>管理钉钉产品能力(AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/开放平台文档/钉钉文档/钉钉云盘/AI听记/邮箱/在线电子表格/知识库等)。当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报（钉钉日志模版）、读写钉钉文档、上传下载云盘文件、查询听记纪要、收发邮件、读写在线电子表格(axls)、管理钉钉知识库时使用。</description>\n <location>~/.openclaw/skills/dws/SKILL.md</location>\n <version>sha256:25f131a2e41eeeca</version>\n </skill>\n <skill>\n <name>dws-cli</name>\n <description>在钉钉会话中通过 dws CLI 管理钉钉产品能力（AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/工作台等）。\n当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报时使用。</description>\n <location>~/.openclaw/plugin-skills/dws-cli/SKILL.md</location>\n <version>sha256:e1e0cb89e56c9a8d</version>\n </skill>\n <skill>\n <name>healthcheck</name>\n <description>Audit/harden OpenClaw hosts: SSH, firewall, updates, exposure, backups, disk encryption, gateway security.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck/SKILL.md</location>\n <version>sha256:518ec6e0482cf1c7</version>\n </skill>\n <skill>\n <name>humanizer</name>\n <description>Remove signs of AI-generated writing from text. Use when editing or reviewing\ntext to make it sound more natural and human-written. Based on Wikipedia's\ncomprehensive "Signs of AI writing" guide. Detects and fixes patterns including:\ninflated symbolism, promotional language, superficial -ing analyses, vague\nattributions, em dash overuse, rule of three, AI vocabulary words, negative\nparallelisms, and excessive conjunctive phrases.</description>\n <location>~/.openclaw/workspace/skills/humanizer/SKILL.md</location>\n <version>sha256:d7ce483d368e4301</version>\n </skill>\n <skill>\n <name>imap-smtp-email</name>\n <description>Read and send email via IMAP/SMTP. Check for new/unread messages, fetch content, search mailboxes, mark as read/unread, and send emails with attachments. Supports multiple accounts. Works with any IMAP/SMTP server including Gmail, Outlook, 163.com, vip.163.com, 126.com, vip.126.com, 188.com, and vip.188.com.</description>\n <location>~/.openclaw/workspace/skills/imap-smtp-email/SKILL.md</location>\n <version>sha256:01345a894f2863a4</version>\n </skill>\n <skill>\n <name>meme-maker</name>\n <description>Search meme templates, suggest formats, and generate local or hosted image memes.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md</location>\n <version>sha256:8b8832f9f0f58b16</version>\n </skill>\n <skill>\n <name>multi-search-engine</name>\n <description>Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required.</description>\n <location>~/.openclaw/workspace/skills/multi-search-engine/SKILL.md</location>\n <version>sha256:ef2d2706e82ad0fc</version>\n </skill>\n <skill>\n <name>MySQL</name>\n <description>Write correct MySQL queries with proper character sets, indexing, transactions, and production patterns.</description>\n <location>~/.openclaw/workspace/skills/MySQL/SKILL.md</location>\n <version>sha256:97003e1d9502f459</version>\n </skill>\n <skill>\n <name>news-summary</name>\n <description>This skill should be used when the user asks for news updates, daily briefings, or what's happening in the world. Fetches news from trusted international RSS feeds and can create voice summaries.</description>\n <location>~/.openclaw/workspace/skills/news-summary/SKILL.md</location>\n <version>sha256:1b4c45b56f567567</version>\n </skill>\n <skill>\n <name>node-connect</name>\n <description>Diagnose OpenClaw Android, iOS, or macOS node pairing, QR/setup code, route, auth, and connection failures.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md</location>\n <version>sha256:cc39026fd84e5cfa</version>\n </skill>\n <skill>\n <name>node-inspect-debugger</name>\n <description>Debug Node.js with node inspect, --inspect, breakpoints, CDP, heap, and CPU profiles.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md</location>\n <version>sha256:50d2f6828eaf4bbf</version>\n </skill>\n <skill>\n <name>obsidian-official-cli</name>\n <description>Work with Obsidian vaults using the official Obsidian CLI (v1.12+). Open, search, create, move, and manage notes from the terminal. Use when working with Obsidian vaults for note management, file operations, searching content, managing tasks, properties, links, plugins, themes, sync operations, or any command-line interaction with Obsidian.</description>\n <location>~/.openclaw/workspace/skills/obsidian-official-cli/SKILL.md</location>\n <version>sha256:d9c66873957818a1</version>\n </skill>\n <skill>\n <name>opencode-controller</name>\n <description>Control and operate Opencode via slash commands. Use this skill to manage sessions, select models, switch agents (plan/build), and coordinate coding through Opencode.</description>\n <location>~/.openclaw/workspace/skills/opencode-controller/SKILL.md</location>\n <version>sha256:6535df08ba8b0bbc</version>\n </skill>\n <skill>\n <name>openspec</name>\n <description>Spec-driven development with OpenSpec CLI. Use when building features, migrations, refactors, or any structured development work. Manages proposal → specs → design → tasks → implementation workflows. Supports custom schemas (TDD, rapid, etc.). 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ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验","messages":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate \n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","timestamp":1784109538113,"idempotencyKey":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"},{"role":"user","content":"保留原时分秒，只改日期部分\nUPDATE dmp_spom.dmp_mrp_main_plan_task SET plan_start_time='2026-07-07 11:03:04',create_time='2026-07-07 10:58:04',update_time='2026-07-07 11:03:04' WHERE ecid='kanda' AND plan_no='PLAN2026071414255193535522';\n-- 物料计划主表\n-- 批量更新 dmp_spom.dmp_mrp_main_plan_task 的 create_time update_time中的日期部分为 对应的plan_start_time","timestamp":1784109596434,"idempotencyKey":"7c28a842-8a9f-4cc4-9094-1298d4ce1a5c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**物料计划主表 `dmp_mrp_main_plan_task`**，要把 `create_time` 和 `update_time` 的日期部分改为对应的 `plan_start_time`，保留原时分秒。\n\n## 更新脚本\n\n```sql\nUPDATE dmp_spom.dmp_mrp_main_plan_task\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'kanda';\n```\n\n范围条件？我看你前面说的是\"计划开始时间是7月份的数据\"，但 `plan_start_time` 看样例已经是 7 月份。你对范围有要求吗？比如：\n\n```sql\n-- 如果只要 plan_start_time 在7月份的数据\nAND plan_start_time >= '2026-07-01' AND plan_start_time < '2026-08-01'\n\n-- 或者只要 plan_start_time 日期和 create_time 日期不一致的（避免无意义更新）\nAND DATE(plan_start_time) != DATE(create_time)\n```\n\n需要加范围条件吗？还是直接全量更新 `ecid = 'kanda'` 的所有记录？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":1021,"output":340,"cacheRead":26880,"cacheWrite":0,"totalTokens":28241,"cost":{"input":0.001021,"output":0.0006799999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0017009999999999998}},"stopReason":"stop","timestamp":1784109597165,"responseId":"3546056a-f6d1-4805-b0d2-e4d5739d2293"},{"role":"user","content":"采购订单\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37' where ecid = 'hsjm' and order_no ='PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 16:10:47', update_time ='2026-01-12 16:10:47' where ecid = 'hsjm' and order_no ='PO2026000002';\n把 时间等于下单时间。\n-- 采购订单\n-- 批量更新 dmp_serp.dmp_mc_purchase_order 的 create_time update_time中的日期部分为 对应的order_date\n\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\n把 时间等于下单时间。\n\n-- 采购明细表\n-- 批量更新 dmp_serp.dmp_mc_purchase_order_detail 的 create_time update_time中的日期部分为 对应的order_date","timestamp":1784109736511,"idempotencyKey":"dea79fe3-9e82-4fcc-932b-78fe7ffb7ea2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，两个表一起处理，都是**采购订单**相关，用 `order_date` 作为日期源。\n\n## 采购订单主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购订单明细表\n\n明细表需要通过 `order_no` 和 `ecid` 关联主表获取 `order_date`：\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order_detail pd\nJOIN dmp_serp.dmp_mc_purchase_order po \n ON pd.ecid = po.ecid AND pd.order_no = po.order_no\nSET \n pd.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pd.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE pd.ecid = 'hsjm';\n```\n\n同样你提到的 **plan_arrival_date**——明细表里也有这个字段，看你样例里也在改它。但你的需求描述里只提了 `create_time` 和 `update_time`，`plan_arrival_date` 是否需要基于主表的 `plan_arrival_date` 同步更新？如果需要，可以加上：\n\n```sql\n-- 在明细表的 SET 中加上 plan_arrival_date 同步\n pd.plan_arrival_date = po.plan_arrival_date,\n```\n\n---\n\n汇总一下你到目前为止的更新清单：\n\n| 序号 | 表 | 日期源字段 |\n|------|-----|-----------|\n| 1 | `dmp_serp.dmp_om_order` | `om_orderdate` |\n| 2 | `dmp_serp.dmp_om_productinfo` | 关联主表 `om_orderdate` |\n| 3 | `dmp_spom.dmp_mrp_main_plan_task` | `plan_start_time` |\n| 4 | `dmp_serp.dmp_mc_purchase_order` | `order_date` |\n| 5 | `dmp_serp.dmp_mc_purchase_order_detail` | 关联主表 `order_date` |\n\n还有其他表要处理吗？一次性都帮你搞定 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":537,"output":666,"cacheRead":28160,"cacheWrite":0,"totalTokens":29363,"cost":{"input":0.0005369999999999999,"output":0.0013319999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0018689999999999998}},"stopReason":"stop","timestamp":1784109737239,"responseId":"4b7762d3-e202-4784-90ea-1934b8437ee9"},{"role":"user","content":"采购到货\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 14:59:11', update_time = '2026-01-22 14:59:11' where ecid = 'hsjm' and arrival_no = 'PAD2026000001';\n\n\n把 时间等于送货时间。\n-- 采购到货主表\n\n\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\n\n把 时间等于送货时间。\n-- 采购到货明细","timestamp":1784109773108,"idempotencyKey":"c1f0893e-59e7-4e66-8ebf-c96466a88991:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `ship_date`（送货时间/发货时间）。\n\n## 采购到货主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购到货明细表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival_detail ad\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON ad.ecid = a.ecid AND ad.arrival_no = a.arrival_no\nSET \n ad.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n ad.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ad.ecid = 'hsjm';\n```\n\n不过我看你的例子里，`ship_date` 和 `arrival_date` 都是 `'2026-01-22'`（同一天）。你说\"时间等于**送货时间**\"，那就是用 `ship_date` 作为日期源，没错吧？还是说你想用 `arrival_date`（到货时间）？\n\n---\n\n## 📋 完整更新清单（截至目前）\n\n| 序号 | 表 | 数据库 | 日期源字段 | 关联方式 |\n|------|-----|--------|-----------|---------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 直接更新 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate` | JOIN 主表 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 直接更新 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 直接更新 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date` | JOIN 主表 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 直接更新 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date` | JOIN 主表 |\n\n还继续有吗？一次性整完 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":427,"output":719,"cacheRead":29312,"cacheWrite":0,"totalTokens":30458,"cost":{"input":0.00042699999999999997,"output":0.001438,"cacheRead":0,"cacheWrite":0,"total":0.001865}},"stopReason":"stop","timestamp":1784109773806,"responseId":"8409c206-8436-4c31-93df-a6c9c78ea7a5"}],"tools":[{"name":"agents_list","description":"List agent ids allowed for `sessions_spawn runtime=\"subagent\"`.","parameters":{"type":"object","properties":{}}},{"name":"apply_patch","description":"Apply a patch to one or more files using the apply_patch format. The input should include *** Begin Patch and *** End Patch markers.","parameters":{"type":"object","required":["input"],"properties":{"input":{"type":"string","description":"Patch content using the *** Begin Patch/End Patch format."}}}},{"name":"create_goal","description":"Create a goal only when explicitly requested by the user or system instructions. Fails if a goal already exists; use user-facing goal controls to clear it.","parameters":{"type":"object","required":["objective"],"properties":{"objective":{"type":"string","description":"Concrete objective to pursue. Create only when explicitly requested."},"token_budget":{"type":"number","description":"Optional positive token budget for this goal."}}}},{"name":"cron","description":"Manage Gateway cron jobs and wake events: reminders, check-back-later, delayed follow-ups, recurring work. Do not emulate scheduling with exec sleep/process polling.\n\nMain cron => system events for heartbeat. Isolated cron => background task in `openclaw tasks`.\n\nACTIONS:\n- status: scheduler status\n- list: compact job summaries; includeDisabled true includes disabled; use get for full job details; agentId filter auto-filled from session\n- get: one job; needs jobId\n- add: create job; needs job object\n- update: patch job; needs jobId + patch\n- remove: delete job; needs jobId\n- run: run only if due by default; needs jobId; pass runMode=\"force\" to trigger now\n- runs: run history; needs jobId\n- wake: send wake event; needs text, optional mode; defaults the target to the calling session/agent. Pass top-level sessionKey/agentId to wake a different lane owned by the calling agent.\n\nJOB SCHEMA (for add action):\n{\n \"name\": \"string\",\n \"schedule\": { ... }, // required\n \"trigger\": { \"script\": \"...\", \"once\": false }, // optional condition gate for every/cron\n \"payload\": { ... }, // required\n \"delivery\": { ... }, // optional announce for isolated/current/session, webhook for any target\n \"sessionTarget\": \"main\" | \"isolated\" | \"current\" | \"session:<id>\",\n \"enabled\": true | false // default true\n}\n\nSESSION TARGET OPTIONS:\n- \"main\": main session; requires payload.kind=\"systemEvent\"\n- \"isolated\": ephemeral isolated session; requires payload.kind=\"agentTurn\"\n- \"current\": bind current session at creation\n- \"session:<id>\": persistent named session\n\nDEFAULTS:\n- payload.kind=\"systemEvent\" → defaults to \"main\"\n- payload.kind=\"agentTurn\" → defaults to \"isolated\"\nCurrent binding needs sessionTarget=\"current\".\n\nSCHEDULE TYPES (schedule.kind):\n- \"at\": one-shot absolute time\n { \"kind\": \"at\", \"at\": \"<ISO-8601 timestamp>\" }\n- \"every\": recurring interval\n { \"kind\": \"every\", \"everyMs\": <ms>, \"anchorMs\": <optional-ms> }\n- \"cron\": expr in supplied timezone, or Gateway host local timezone when tz omitted\n { \"kind\": \"cron\", \"expr\": \"<cron-expression>\", \"tz\": \"<optional-IANA-timezone>\" }\n Write expr in local wall-clock time; do not convert the requested local time to UTC first.\n tz omitted => Gateway host local timezone, not UTC.\n Example 6pm Shanghai daily: { \"kind\": \"cron\", \"expr\": \"0 18 * * *\", \"tz\": \"Asia/Shanghai\" }\n\nOptional trigger scripts poll headlessly on every/cron schedules and run the payload only when they return { fire: true }.\n\nFor \"at\", ISO timestamps without timezone are UTC.\n\nPAYLOAD TYPES (payload.kind):\n- \"systemEvent\": inject text as system event\n { \"kind\": \"systemEvent\", \"text\": \"<message>\" }\n- \"agentTurn\": run agent with prompt; isolated/current/session only\n { \"kind\": \"agentTurn\", \"message\": \"<prompt>\", \"model\": \"<optional>\", \"thinking\": \"<optional>\", \"timeoutSeconds\": <optional, 0=no timeout> }\n\nDELIVERY (top-level):\n { \"mode\": \"none|announce|webhook\", \"channel\": \"<optional>\", \"to\": \"<optional>\", \"threadId\": \"<optional>\", \"bestEffort\": <optional-bool> }\n - isolated agentTurn default when omitted: \"announce\"\n - announce: send to chat channel; isolated/current/session only; optional channel/to\n - threadId: chat thread/topic id\n - webhook: POST finished-run event to delivery.to URL\n - Specific chat/recipient: set announce delivery.channel/to; do not call messaging tools inside run.\n\nCRITICAL CONSTRAINTS:\n- sessionTarget=\"main\" REQUIRES payload.kind=\"systemEvent\"\n- sessionTarget=\"isolated\" | \"current\" | \"session:xxx\" REQUIRES payload.kind=\"agentTurn\"\n- Webhook: delivery.mode=\"webhook\" and delivery.to URL.\nDefault: prefer isolated agentTurn jobs unless the user explicitly wants current-session binding.\n\nRESTRICTED CRON RUNS:\n- Some isolated cron runs get narrow self-cleanup grant: status/list self-only, get/runs current job only, mutation only remove current job.\n\nWAKE MODES (for wake action):\n- \"next-heartbeat\" default: wake next heartbeat\n- \"now\": wake immediately\n\nUse jobId canonical; id accepted compat. contextMessages (0-10) adds previous messages as job context.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"includeDisabled":{"type":"boolean"},"job":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"additionalProperties":true},"jobId":{"type":"string"},"id":{"type":"string"},"patch":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"additionalProperties":true},"text":{"type":"string"},"mode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"runMode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Run mode for action=\"run\": omitted defaults to \"due\"; use \"force\" to trigger now."},"contextMessages":{"type":"integer","minimum":0,"maximum":10},"agentId":{"type":"string","description":"List filter for `action: \"list\"`; wake target override for `action: \"wake\"` (defaults to the calling agent when omitted on wake)"},"sessionKey":{"type":"string","description":"Wake target override for `action: \"wake\"`: route the event to another session owned by the calling agent. Defaults to the resolved calling-session key when omitted."}},"additionalProperties":true}},{"name":"edit","description":"Edit a single file using exact text replacement. Every edits[].oldText must match a unique, non-overlapping region of the original file. If two changes affect the same block or nearby lines, merge them into one edit instead of emitting overlapping edits. Do not include large unchanged regions just to connect distant changes.","parameters":{"type":"object","required":["path","edits"],"properties":{"path":{"type":"string","description":"Path to the file to edit (relative or absolute)"},"edits":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"One or more targeted replacements. Each edit is matched against the original file, not incrementally. Do not include overlapping or nested edits. If two changes touch the same block or nearby lines, merge them into one edit instead."}},"additionalProperties":false}},{"name":"exec","description":"Execute shell commands with background continuation for work that starts now. Use yieldMs/background to continue later via process tool. For long-running work started now, rely on automatic completion wake when it is enabled and the command emits output or fails; otherwise use process to confirm completion. Use process whenever you need logs, status, input, or intervention. Do not use exec sleep or delay loops for reminders or deferred follow-ups; use cron instead. Use pty=true for TTY-required commands (terminal UIs, coding agents).","parameters":{"type":"object","required":["command"],"properties":{"command":{"type":"string","description":"Shell command to execute"},"workdir":{"type":"string","description":"Working directory. Blank/whitespace values are invalid; omit to use the default cwd."},"env":{"type":"object","patternProperties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"yieldMs":{"type":"number","description":"Milliseconds to wait before backgrounding (default 10000)"},"background":{"type":"boolean","description":"Run in background immediately"},"timeout":{"type":"number","description":"Timeout in seconds (optional, kills process on expiry)"},"pty":{"type":"boolean","description":"Run in a pseudo-terminal (PTY) when available (TTY-required CLIs, coding agents)"},"elevated":{"type":"boolean","description":"Run on the host with elevated permissions (if allowed)"},"host":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Exec host/target (auto|sandbox|gateway|node)."},"security":{"type":"string","description":"Ignored for normal calls; exec security is set by tools.exec.security and host approvals."},"ask":{"type":"string","description":"Baseline ask comes from tools.exec.ask and host approvals; channel-origin calls ignore per-call ask when effective host ask is off."},"node":{"type":"string","description":"Node id/name for host=node."}}}},{"name":"gateway","description":"Gateway restart/config/update. Before config edits, use config.schema.lookup with targeted dot path. Prefer config.patch for partial merge; config.apply only full replace. For config.patch that intentionally removes array entries, pass replacePaths with the exact affected array path. Writes hot-reload or restart as needed. Always pass human `note` for post-restart delivery. If post-restart work must continue internally, pass one-shot `continuationMessage`; visible follow-up from that turn must use the message tool. Do not write restart sentinel files directly.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"delayMs":{"type":"integer","minimum":0},"reason":{"type":"string"},"continuationMessage":{"type":"string"},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"path":{"type":"string"},"raw":{"type":"string"},"baseHash":{"type":"string"},"replacePaths":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"maxItems":256},"sessionKey":{"type":"string"},"note":{"type":"string"},"restartDelayMs":{"type":"integer","minimum":0}}}},{"name":"get_goal","description":"Get the current goal for this thread, including status and token usage.","parameters":{"type":"object","properties":{}}},{"name":"image","description":"Analyze images with available vision model. Use image for one path/URL, images for max 20. Prompt says what to inspect.","parameters":{"type":"object","properties":{"prompt":{"type":"string"},"image":{"type":"string","description":"One image path/URL."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Image paths/URLs; maxImages default 20."},"model":{"type":"string"},"maxBytesMb":{"type":"number","exclusiveMinimum":0},"maxImages":{"type":"integer","minimum":1}}}},{"name":"image_generate","description":"Create/edit images. Session chats: background task; do not call image_generate again for same request; wait completion, then report through the current visible-reply contract with generated media attached using structured media fields. Transparent: outputFormat=\"png\" or \"webp\" + background=\"transparent\"; OpenAI also supports openai.background and routes default model to gpt-image-1.5. Use action=\"list\" for providers/models/readiness/auth, \"status\" for active task.","parameters":{"type":"object","properties":{"action":{"type":"string","description":"\"generate\" default, \"status\" active task, \"list\" providers/models."},"prompt":{"type":"string","description":"Image prompt."},"image":{"type":"string","description":"Reference image path/URL for edit."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference images for edit or style reference; max 14."},"model":{"type":"string","description":"Provider/model override, e.g. openai/gpt-image-2; transparent OpenAI: openai/gpt-image-1.5."},"filename":{"type":"string","description":"Output filename hint; basename preserved in managed media dir."},"size":{"type":"string","description":"Size hint: 1024x1024, 1536x1024, 1024x1536, 2048x2048, 3840x2160."},"aspectRatio":{"type":"string","description":"Aspect ratio: 1:1, 2:1, 20:9, 19.5:9, 2:3, 3:2, 2.35:1, 3:4, 4:3, 4:5, 5:4, 9:16, 9:19.5, 9:20, 16:9, 21:9, 1:2, 4:1, 1:4, 8:1, 1:8."},"resolution":{"type":"string","description":"Resolution: 1K, 2K, 4K; useful for Google."},"quality":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Quality: low, medium, high, auto."},"outputFormat":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Output format: png, jpeg, webp."},"background":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Background: transparent, opaque, auto. Transparent needs png/webp output."},"openai":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"fal":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"count":{"type":"integer","description":"Image count 1-4.","minimum":1,"maximum":4},"timeoutMs":{"type":"integer","description":"Provider timeout ms (300000 tends to be a safe amount).","minimum":1}}}},{"name":"memory_get","description":"Safe exact excerpt read from MEMORY.md or memory/*.md. Defaults to a bounded excerpt when lines are omitted, includes truncation/continuation info when more content exists, and `corpus=wiki` reads from registered compiled-wiki supplements.","parameters":{"type":"object","properties":{"path":{"type":"string"},"from":{"type":"integer","minimum":1},"lines":{"type":"integer","minimum":1},"corpus":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}},"required":["path"],"additionalProperties":false}},{"name":"memory_search","description":"Mandatory recall step: semantically search MEMORY.md + memory/*.md (and optional session transcripts) before answering questions about prior work, decisions, dates, people, preferences, or todos. Optional `corpus=wiki` or `corpus=all` also searches registered compiled-wiki supplements. `corpus=memory` restricts hits to indexed memory files (excludes session transcript chunks from ranking). `corpus=sessions` restricts hits to indexed session transcripts (same visibility rules as session history tools). If response has disabled=true, memory retrieval is unavailable and should be surfaced to the user.","parameters":{"type":"object","properties":{"query":{"type":"string"},"maxResults":{"type":"integer","minimum":1},"minScore":{"type":"number"},"corpus":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}},"required":["query"],"additionalProperties":false}},{"name":"message","description":"Send/delete/manage channel messages. Supports actions: send.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"channel":{"type":"string"},"target":{"type":"string","description":"Recipient/channel: E.164 for WhatsApp/Signal, Telegram chat id/@username, Discord/Slack/Mattermost <channelId|user:ID|channel:ID>, or iMessage handle/chat_id"},"targets":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"accountId":{"type":"string"},"dryRun":{"type":"boolean"},"message":{"type":"string"},"effectId":{"type":"string","description":"Effect id/name for sendWithEffect."},"effect":{"type":"string","description":"Alias for effectId."},"media":{"type":"string","description":"Media URL/path. data: use buffer."},"filename":{"type":"string"},"buffer":{"type":"string","description":"Base64 attachment payload; data URL ok."},"contentType":{"type":"string"},"mimeType":{"type":"string"},"caption":{"type":"string"},"attachments":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Structured attachments; each entry uses media."},"replyTo":{"type":"string"},"threadId":{"type":"string"},"asVoice":{"type":"boolean"},"silent":{"type":"boolean"},"quoteText":{"type":"string","description":"Telegram reply quote text."},"gifPlayback":{"type":"boolean"},"forceDocument":{"type":"boolean","description":"Send image/GIF/video as document; avoids compression."},"asDocument":{"type":"boolean","description":"Alias for forceDocument."},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1}}}},{"name":"node_inference","description":"Discover and run chat-capable Ollama models installed on paired desktop/server nodes. Use action=discover first, then action=run with a node and model from that result. Inference stays on the selected node.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"node":{"type":"string","description":"Connected node id or display name. Required when ambiguous."},"model":{"type":"string","description":"Exact local model name returned by discover."},"prompt":{"type":"string","description":"Prompt for action=run."},"system":{"type":"string","description":"Optional system prompt for action=run."},"temperature":{"type":"number","minimum":0,"maximum":2},"maxTokens":{"type":"integer","minimum":1,"maximum":8192},"timeoutMs":{"type":"integer","minimum":1,"maximum":600000}},"additionalProperties":false}},{"name":"nodes","description":"Discover/control paired nodes: status, describe, pairing, notify, camera/photos/screen/location/notifications/invoke. Use file_fetch for files.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"node":{"type":"string"},"requestId":{"type":"string"},"title":{"type":"string"},"body":{"type":"string"},"sound":{"type":"string"},"priority":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"delivery":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"facing":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"camera_snap: front/back/both; camera_clip: front/back only."},"maxWidth":{"type":"integer","minimum":1},"quality":{"type":"number","minimum":0,"maximum":1},"delayMs":{"type":"integer","minimum":0},"deviceId":{"type":"string"},"limit":{"type":"integer","minimum":1,"maximum":20},"duration":{"type":"string"},"durationMs":{"type":"integer","minimum":1,"maximum":300000},"includeAudio":{"type":"boolean"},"fps":{"type":"number","exclusiveMinimum":0},"screenIndex":{"type":"integer","minimum":0},"outPath":{"type":"string"},"maxAgeMs":{"type":"integer","minimum":0},"locationTimeoutMs":{"type":"integer","minimum":1},"desiredAccuracy":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"notificationAction":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"notificationKey":{"type":"string"},"notificationReplyText":{"type":"string"},"invokeCommand":{"type":"string"},"invokeParamsJson":{"type":"string"},"invokeTimeoutMs":{"type":"integer","minimum":1}}}},{"name":"pdf","description":"Analyze PDFs with model. Anthropic/Google native PDF when supported; else text/image extraction. Use pdf for one, pdfs for max 10; prompt says what to inspect.","parameters":{"type":"object","properties":{"prompt":{"type":"string"},"pdf":{"type":"string","description":"One PDF path/URL."},"pdfs":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"PDF paths/URLs; max 10."},"pages":{"type":"string","description":"Pages, e.g. \"1-5\", \"1,3,5-7\"; default all."},"model":{"type":"string"},"maxBytesMb":{"type":"number","exclusiveMinimum":0}}}},{"name":"process","description":"Manage running exec sessions for commands already started: list, poll, log, write, send-keys, submit, paste, kill. Use poll/log when you need status, logs, quiet-success confirmation, or completion confirmation when automatic completion wake is unavailable. Use poll/log also for input-wait hints. Use write/send-keys/submit/paste/kill for input or intervention. Do not use process polling to emulate timers or reminders; use cron for scheduled follow-ups.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","description":"Process action (list|poll|log|write|send-keys|submit|paste|kill|clear|remove)"},"sessionId":{"type":"string","description":"Session id for actions other than list"},"data":{"type":"string","description":"Data to write for write"},"keys":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Key tokens to send for send-keys"},"hex":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Hex bytes to send for send-keys"},"literal":{"type":"string","description":"Literal string for send-keys"},"text":{"type":"string","description":"Text to paste for paste"},"bracketed":{"type":"boolean","description":"Wrap paste in bracketed mode"},"eof":{"type":"boolean","description":"Close stdin after write"},"offset":{"type":"number","description":"Log offset"},"limit":{"type":"number","description":"Log length"},"timeout":{"type":"number","description":"For poll: wait up to this many milliseconds before returning; max 30000 ms, higher values are clamped to 30000","minimum":0}}}},{"name":"read","description":"Read the contents of a file. Supports text files and images (jpg, png, gif, webp, bmp). Images are sent as attachments. For text files, output is truncated to 2000 lines or 50KB (whichever is hit first). Use offset/limit for large files. When you need the full file, continue with offset until complete.","parameters":{"type":"object","required":["path"],"properties":{"path":{"type":"string","description":"Path to the file to read (relative or absolute)"},"offset":{"type":"number","description":"Line number to start reading from (1-indexed)"},"limit":{"type":"number","description":"Maximum number of lines to read"}}}},{"name":"session_status","description":"Show /status-like card for current/visible session: model, usage, time, cost, tasks. Use `sessionKey=\"current\"` for current session; UI labels like `openclaw-tui` are not keys. `model` sets session override; `model=default` resets. Use for active model/session config questions.","parameters":{"type":"object","properties":{"sessionKey":{"type":"string"},"model":{"type":"string"}}}},{"name":"sessions_history","description":"Fetch sanitized history for visible session. Use before replying, debugging, resuming; supports limit, offset pagination, and tool-message inclusion.","parameters":{"type":"object","required":["sessionKey"],"properties":{"sessionKey":{"type":"string"},"limit":{"type":"integer","minimum":1},"offset":{"type":"integer","minimum":0},"includeTools":{"type":"boolean"}}}},{"name":"sessions_list","description":"List visible sessions; filter by kind, label, agentId, search, activity, archive state. Use before sessions_history or sessions_send target selection.","parameters":{"type":"object","properties":{"kinds":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"limit":{"type":"integer","minimum":1},"activeMinutes":{"type":"integer","minimum":1},"messageLimit":{"type":"integer","minimum":0},"label":{"type":"string","minLength":1},"agentId":{"type":"string","minLength":1,"maxLength":64},"search":{"type":"string","minLength":1},"archived":{"type":"boolean"},"includeDerivedTitles":{"type":"boolean"},"includeLastMessage":{"type":"boolean"}}}},{"name":"sessions_send","description":"Send message to visible session by sessionKey/label, or configured agent by agentId; sessionKey wins when redundant label metadata is present. Thread-scoped chats rejected; target parent channel session. Creates missing configured-agent main session; waits for reply when available.","parameters":{"type":"object","required":["message"],"properties":{"sessionKey":{"type":"string"},"label":{"type":"string","minLength":1,"maxLength":512},"agentId":{"type":"string","minLength":1,"maxLength":64},"message":{"type":"string"},"timeoutSeconds":{"type":"integer","minimum":0}}}},{"name":"sessions_spawn","description":"Spawn clean child session; default `runtime=\"subagent\"`. `mode=\"run\"` one-shot background work. Subagents inherit parent workspace. Native subagents get task in first visible `[Subagent Task]` message. Native only: `context=\"fork\"` only when child needs current transcript; else omit or `isolated`. Use for fresh child-session work. Delegate sidecar/parallel tasks: batch file reads, multi-step searches, data collection. Avoid delegating quick lookups or single-file reads unless policy prefers delegation. After spawning, do non-overlapping work while run-mode results return.","parameters":{"type":"object","required":["task"],"properties":{"task":{"type":"string"},"taskName":{"type":"string","description":"Stable alias for later targeting; lowercase letters/digits/underscores/hyphens, starts letter."},"label":{"type":"string"},"runtime":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"agentId":{"type":"string"},"model":{"type":"string"},"thinking":{"type":"string"},"cwd":{"type":"string"},"mode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"cleanup":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"sandbox":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"context":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Native context. Omit/\"isolated\" for clean child; \"fork\" only when child needs requester transcript."},"lightContext":{"type":"boolean","description":"Light bootstrap context; runtime=\"subagent\" only."},"attachments":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"maxItems":50},"attachAs":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}}}},{"name":"sessions_yield","description":"End current turn. Use after spawning subagents; results arrive as next message.","parameters":{"type":"object","properties":{"message":{"type":"string"}}}},{"name":"skill_workshop","description":"Create, update, revise, list, inspect, apply, reject, or quarantine Skill Workshop proposals when reusable procedures should be captured, improved, or explicitly approved.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"create = new skill; update = existing live skill; revise = existing pending proposal; list/inspect discover pending proposals (not filesystem search); apply/reject/quarantine are explicit lifecycle actions."},"proposal_id":{"type":"string","description":"Existing proposal id for action=inspect, action=revise, action=apply, action=reject, or action=quarantine."},"name":{"type":"string","description":"Skill/proposal name. Required for create; for inspect/revise when proposal_id is unknown, resolves a pending proposal or returns candidates."},"query":{"type":"string","description":"Optional query for action=list."},"status":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Optional proposal status filter for action=list."},"limit":{"type":"integer","minimum":1,"maximum":50,"description":"Maximum proposals to return for action=list. Defaults to 20."},"description":{"type":"string","maxLength":160,"description":"Skill description for create/update/revise; max 160 bytes. On update, concise text shortens the proposal listing entry."},"skill_name":{"type":"string","description":"Existing skill name or key for action=update."},"proposal_content":{"type":"string","description":"Full proposed procedure markdown for action=create, action=update, or action=revise. It will be stored as PROPOSAL.md. Keep under configured skills.workshop.maxSkillBytes; default max is 40000 bytes."},"support_files":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Optional support files to store with the proposal."},"goal":{"type":"string","description":"Proposal or improvement goal."},"evidence":{"type":"string","description":"Short evidence or notes."},"reason":{"type":"string","description":"Optional reason for action=apply, action=reject, or action=quarantine."}},"additionalProperties":false}},{"name":"subagents","description":"List active and recent subagents for the requester session. If sessions_yield exists, use it for completion; do not poll wait loops.","parameters":{"type":"object","properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"recentMinutes":{"type":"integer","minimum":1}}}},{"name":"tts","description":"Use only for explicit audio intent (voice/speech/TTS) or active TTS config. Never use for ordinary text replies. Audio auto-delivered from tool result; after success follow reply instructions, no duplicate text/audio.","parameters":{"type":"object","required":["text"],"properties":{"text":{"type":"string","description":"Text to speak."},"channel":{"type":"string","description":"Channel id; output-format hint."},"timeoutMs":{"type":"integer","description":"Provider timeout ms.","minimum":1}}}},{"name":"update_goal","description":"Mark the current goal complete only when achieved, or blocked only after the same blocking condition recurs for at least three consecutive goal turns. Do not use blocked for ordinary difficulty or missing polish.","parameters":{"type":"object","required":["status"],"properties":{"status":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"complete | blocked."},"note":{"type":"string","description":"Short status note."}}}},{"name":"update_plan","description":"Update current run plan. Use for non-trivial multi-step work; keep plan current while executing. Short steps; max one `in_progress`; skip for simple one-step work.","parameters":{"type":"object","required":["plan"],"properties":{"explanation":{"type":"string","description":"Short note: what changed."},"plan":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"minItems":1,"description":"Ordered steps; max one in_progress."}}}},{"name":"video_generate","description":"Create videos. Session chats: background task; do not call video_generate again for same request; wait completion, then report through the current visible-reply contract with generated media attached using structured media fields. \"status\" checks active task. Duration may round to provider-supported value.","parameters":{"type":"object","properties":{"action":{"type":"string","description":"\"generate\" default, \"status\" active task, \"list\" providers/models."},"prompt":{"type":"string","description":"Video prompt."},"image":{"type":"string","description":"One reference image path/URL."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference images; max 9."},"imageRoles":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"`image` + `images` roles by index after de-dupe. Values: first_frame, last_frame, reference_image; empty string leaves unset."},"video":{"type":"string","description":"One reference video path/URL."},"videos":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference videos; max 4."},"videoRoles":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"`video` + `videos` roles by index after de-dupe. Value: reference_video; empty string leaves unset."},"model":{"type":"string","description":"Provider/model override, e.g. qwen/wan2.6-t2v."},"filename":{"type":"string","description":"Output filename hint; basename preserved in managed media dir."},"size":{"type":"string","description":"Size hint, e.g. 1280x720, 1920x1080."},"aspectRatio":{"type":"string","description":"Aspect ratio: 1:1, 16:9, 9:16, \"adaptive\", or provider value; unsupported normalized/ignored."},"resolution":{"type":"string","description":"Resolution: 360P, 480P, 540P, 720P, 768P, 1080P, 4K, or provider value; unsupported normalized/ignored."},"durationSeconds":{"type":"integer","description":"Target seconds; may round to nearest supported duration.","minimum":1},"audio":{"type":"boolean","description":"Generated-audio toggle."},"watermark":{"type":"boolean","description":"Watermark toggle."},"providerOptions":{"type":"object","patternProperties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Provider JSON options, e.g. {\"seed\":42}. Keys/types must match provider capabilities; mismatch skips candidate. Use action=list for accepted keys."},"timeoutMs":{"type":"integer","description":"Provider timeout ms.","minimum":1}}}},{"name":"write","description":"Write content to a file. Creates the file if it doesn't exist, overwrites if it does. Automatically creates parent directories.","parameters":{"type":"object","required":["path","content"],"properties":{"path":{"type":"string","description":"Path to the file to write (relative or absolute)"},"content":{"type":"string","description":"Content to write to the file"}}}}],"imagesCount":0,"streamStrategy":"boundary-aware:openai-completions","transport":"auto","transcriptLeafId":"f027d158"}}
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{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","source":"runtime","type":"prompt.submitted","ts":"2026-07-15T10:03:29.512Z","seq":4,"sourceSeq":46,"sessionId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","sessionKey":"agent:main:dashboard:2fdf88e4-fa3f-46c2-b547-384e2c048b11","runId":"4b7a78ce-766c-439b-8784-ec9eef3f92ac","workspaceDir":"/home/yangxuan/.openclaw/workspace","provider":"deepseek","modelId":"deepseek-v4-flash","modelApi":"openai-completions","data":{"prompt":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验","systemPrompt":{"truncated":true,"reason":"trajectory-field-size-limit","originalChars":39560,"limitChars":32768},"messages":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate \n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","timestamp":1784109538113,"idempotencyKey":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"},{"role":"user","content":"保留原时分秒，只改日期部分\nUPDATE dmp_spom.dmp_mrp_main_plan_task SET plan_start_time='2026-07-07 11:03:04',create_time='2026-07-07 10:58:04',update_time='2026-07-07 11:03:04' WHERE ecid='kanda' AND plan_no='PLAN2026071414255193535522';\n-- 物料计划主表\n-- 批量更新 dmp_spom.dmp_mrp_main_plan_task 的 create_time update_time中的日期部分为 对应的plan_start_time","timestamp":1784109596434,"idempotencyKey":"7c28a842-8a9f-4cc4-9094-1298d4ce1a5c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**物料计划主表 `dmp_mrp_main_plan_task`**，要把 `create_time` 和 `update_time` 的日期部分改为对应的 `plan_start_time`，保留原时分秒。\n\n## 更新脚本\n\n```sql\nUPDATE dmp_spom.dmp_mrp_main_plan_task\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'kanda';\n```\n\n范围条件？我看你前面说的是\"计划开始时间是7月份的数据\"，但 `plan_start_time` 看样例已经是 7 月份。你对范围有要求吗？比如：\n\n```sql\n-- 如果只要 plan_start_time 在7月份的数据\nAND plan_start_time >= '2026-07-01' AND plan_start_time < '2026-08-01'\n\n-- 或者只要 plan_start_time 日期和 create_time 日期不一致的（避免无意义更新）\nAND DATE(plan_start_time) != DATE(create_time)\n```\n\n需要加范围条件吗？还是直接全量更新 `ecid = 'kanda'` 的所有记录？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":1021,"output":340,"cacheRead":26880,"cacheWrite":0,"totalTokens":28241,"cost":{"input":0.001021,"output":0.0006799999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0017009999999999998}},"stopReason":"stop","timestamp":1784109597165,"responseId":"3546056a-f6d1-4805-b0d2-e4d5739d2293"},{"role":"user","content":"采购订单\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37' where ecid = 'hsjm' and order_no ='PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 16:10:47', update_time ='2026-01-12 16:10:47' where ecid = 'hsjm' and order_no ='PO2026000002';\n把 时间等于下单时间。\n-- 采购订单\n-- 批量更新 dmp_serp.dmp_mc_purchase_order 的 create_time update_time中的日期部分为 对应的order_date\n\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\n把 时间等于下单时间。\n\n-- 采购明细表\n-- 批量更新 dmp_serp.dmp_mc_purchase_order_detail 的 create_time update_time中的日期部分为 对应的order_date","timestamp":1784109736511,"idempotencyKey":"dea79fe3-9e82-4fcc-932b-78fe7ffb7ea2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，两个表一起处理，都是**采购订单**相关，用 `order_date` 作为日期源。\n\n## 采购订单主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购订单明细表\n\n明细表需要通过 `order_no` 和 `ecid` 关联主表获取 `order_date`：\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order_detail pd\nJOIN dmp_serp.dmp_mc_purchase_order po \n ON pd.ecid = po.ecid AND pd.order_no = po.order_no\nSET \n pd.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pd.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE pd.ecid = 'hsjm';\n```\n\n同样你提到的 **plan_arrival_date**——明细表里也有这个字段，看你样例里也在改它。但你的需求描述里只提了 `create_time` 和 `update_time`，`plan_arrival_date` 是否需要基于主表的 `plan_arrival_date` 同步更新？如果需要，可以加上：\n\n```sql\n-- 在明细表的 SET 中加上 plan_arrival_date 同步\n pd.plan_arrival_date = po.plan_arrival_date,\n```\n\n---\n\n汇总一下你到目前为止的更新清单：\n\n| 序号 | 表 | 日期源字段 |\n|------|-----|-----------|\n| 1 | `dmp_serp.dmp_om_order` | `om_orderdate` |\n| 2 | `dmp_serp.dmp_om_productinfo` | 关联主表 `om_orderdate` |\n| 3 | `dmp_spom.dmp_mrp_main_plan_task` | `plan_start_time` |\n| 4 | `dmp_serp.dmp_mc_purchase_order` | `order_date` |\n| 5 | `dmp_serp.dmp_mc_purchase_order_detail` | 关联主表 `order_date` |\n\n还有其他表要处理吗？一次性都帮你搞定 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":537,"output":666,"cacheRead":28160,"cacheWrite":0,"totalTokens":29363,"cost":{"input":0.0005369999999999999,"output":0.0013319999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0018689999999999998}},"stopReason":"stop","timestamp":1784109737239,"responseId":"4b7762d3-e202-4784-90ea-1934b8437ee9"},{"role":"user","content":"采购到货\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 14:59:11', update_time = '2026-01-22 14:59:11' where ecid = 'hsjm' and arrival_no = 'PAD2026000001';\n\n\n把 时间等于送货时间。\n-- 采购到货主表\n\n\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\n\n把 时间等于送货时间。\n-- 采购到货明细","timestamp":1784109773108,"idempotencyKey":"c1f0893e-59e7-4e66-8ebf-c96466a88991:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `ship_date`（送货时间/发货时间）。\n\n## 采购到货主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购到货明细表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival_detail ad\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON ad.ecid = a.ecid AND ad.arrival_no = a.arrival_no\nSET \n ad.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n ad.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ad.ecid = 'hsjm';\n```\n\n不过我看你的例子里，`ship_date` 和 `arrival_date` 都是 `'2026-01-22'`（同一天）。你说\"时间等于**送货时间**\"，那就是用 `ship_date` 作为日期源，没错吧？还是说你想用 `arrival_date`（到货时间）？\n\n---\n\n## 📋 完整更新清单（截至目前）\n\n| 序号 | 表 | 数据库 | 日期源字段 | 关联方式 |\n|------|-----|--------|-----------|---------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 直接更新 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate` | JOIN 主表 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 直接更新 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 直接更新 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date` | JOIN 主表 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 直接更新 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date` | JOIN 主表 |\n\n还继续有吗？一次性整完 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":427,"output":719,"cacheRead":29312,"cacheWrite":0,"totalTokens":30458,"cost":{"input":0.00042699999999999997,"output":0.001438,"cacheRead":0,"cacheWrite":0,"total":0.001865}},"stopReason":"stop","timestamp":1784109773806,"responseId":"8409c206-8436-4c31-93df-a6c9c78ea7a5"}],"imagesCount":0}}
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{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","source":"runtime","type":"model.completed","ts":"2026-07-15T10:03:34.344Z","seq":5,"sourceSeq":47,"sessionId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","sessionKey":"agent:main:dashboard:2fdf88e4-fa3f-46c2-b547-384e2c048b11","runId":"4b7a78ce-766c-439b-8784-ec9eef3f92ac","workspaceDir":"/home/yangxuan/.openclaw/workspace","provider":"deepseek","modelId":"deepseek-v4-flash","modelApi":"openai-completions","data":{"aborted":false,"externalAbort":false,"timedOut":false,"idleTimedOut":false,"timedOutDuringCompaction":false,"timedOutDuringToolExecution":false,"timedOutByRunBudget":false,"promptErrorSource":null,"usage":{"input":317,"output":444,"cacheRead":30336,"total":31097},"promptCache":{"lastCallUsage":{"input":317,"output":444,"cacheRead":30336,"cacheWrite":0,"total":31097},"lastCacheTouchAt":1784109809545},"compactionCount":0,"assistantTexts":["明白，这次是**来料检验表**，需要关联**采购到货单**获取 `ship_date`。\n\n关联关系：`qc_task_inspect` 通过某个字段关联到采购到货单？我先看看常见关联方式——通常来料检验单会记录 `arrival_no`（到货单号）和 `ecid`。\n\n如果 `qc_task_inspect` 里有 `arrival_no` 字段，关联到 `dmp_mc_purchase_arrival`：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect qi\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON qi.ecid = a.ecid AND qi.arrival_no = a.arrival_no\nSET \n qi.insp_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.insp_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE qi.ecid = 'hsjm';\n```\n\n不过我需要确认一下——`qc_task_inspect` 里**关联采购到货单的字段名是什么**？常见的有：\n- `arrival_no` — 到货单号\n- `src_bill_no` — 来源单据号\n\n你能看看表结构确认一下关联字段吗？或者直接告诉我 `qc_task_inspect` 里哪个字段存的是到货单号就行。"],"finalPromptText":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验","messagesSnapshot":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate \n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","timestamp":1784109538113,"idempotencyKey":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"},{"role":"user","content":"保留原时分秒，只改日期部分\nUPDATE dmp_spom.dmp_mrp_main_plan_task SET plan_start_time='2026-07-07 11:03:04',create_time='2026-07-07 10:58:04',update_time='2026-07-07 11:03:04' WHERE ecid='kanda' AND plan_no='PLAN2026071414255193535522';\n-- 物料计划主表\n-- 批量更新 dmp_spom.dmp_mrp_main_plan_task 的 create_time update_time中的日期部分为 对应的plan_start_time","timestamp":1784109596434,"idempotencyKey":"7c28a842-8a9f-4cc4-9094-1298d4ce1a5c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**物料计划主表 `dmp_mrp_main_plan_task`**，要把 `create_time` 和 `update_time` 的日期部分改为对应的 `plan_start_time`，保留原时分秒。\n\n## 更新脚本\n\n```sql\nUPDATE dmp_spom.dmp_mrp_main_plan_task\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'kanda';\n```\n\n范围条件？我看你前面说的是\"计划开始时间是7月份的数据\"，但 `plan_start_time` 看样例已经是 7 月份。你对范围有要求吗？比如：\n\n```sql\n-- 如果只要 plan_start_time 在7月份的数据\nAND plan_start_time >= '2026-07-01' AND plan_start_time < '2026-08-01'\n\n-- 或者只要 plan_start_time 日期和 create_time 日期不一致的（避免无意义更新）\nAND DATE(plan_start_time) != DATE(create_time)\n```\n\n需要加范围条件吗？还是直接全量更新 `ecid = 'kanda'` 的所有记录？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":1021,"output":340,"cacheRead":26880,"cacheWrite":0,"totalTokens":28241,"cost":{"input":0.001021,"output":0.0006799999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0017009999999999998}},"stopReason":"stop","timestamp":1784109597165,"responseId":"3546056a-f6d1-4805-b0d2-e4d5739d2293"},{"role":"user","content":"采购订单\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37' where ecid = 'hsjm' and order_no ='PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 16:10:47', update_time ='2026-01-12 16:10:47' where ecid = 'hsjm' and order_no ='PO2026000002';\n把 时间等于下单时间。\n-- 采购订单\n-- 批量更新 dmp_serp.dmp_mc_purchase_order 的 create_time update_time中的日期部分为 对应的order_date\n\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\n把 时间等于下单时间。\n\n-- 采购明细表\n-- 批量更新 dmp_serp.dmp_mc_purchase_order_detail 的 create_time update_time中的日期部分为 对应的order_date","timestamp":1784109736511,"idempotencyKey":"dea79fe3-9e82-4fcc-932b-78fe7ffb7ea2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，两个表一起处理，都是**采购订单**相关，用 `order_date` 作为日期源。\n\n## 采购订单主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购订单明细表\n\n明细表需要通过 `order_no` 和 `ecid` 关联主表获取 `order_date`：\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order_detail pd\nJOIN dmp_serp.dmp_mc_purchase_order po \n ON pd.ecid = po.ecid AND pd.order_no = po.order_no\nSET \n pd.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pd.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE pd.ecid = 'hsjm';\n```\n\n同样你提到的 **plan_arrival_date**——明细表里也有这个字段，看你样例里也在改它。但你的需求描述里只提了 `create_time` 和 `update_time`，`plan_arrival_date` 是否需要基于主表的 `plan_arrival_date` 同步更新？如果需要，可以加上：\n\n```sql\n-- 在明细表的 SET 中加上 plan_arrival_date 同步\n pd.plan_arrival_date = po.plan_arrival_date,\n```\n\n---\n\n汇总一下你到目前为止的更新清单：\n\n| 序号 | 表 | 日期源字段 |\n|------|-----|-----------|\n| 1 | `dmp_serp.dmp_om_order` | `om_orderdate` |\n| 2 | `dmp_serp.dmp_om_productinfo` | 关联主表 `om_orderdate` |\n| 3 | `dmp_spom.dmp_mrp_main_plan_task` | `plan_start_time` |\n| 4 | `dmp_serp.dmp_mc_purchase_order` | `order_date` |\n| 5 | `dmp_serp.dmp_mc_purchase_order_detail` | 关联主表 `order_date` |\n\n还有其他表要处理吗？一次性都帮你搞定 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":537,"output":666,"cacheRead":28160,"cacheWrite":0,"totalTokens":29363,"cost":{"input":0.0005369999999999999,"output":0.0013319999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0018689999999999998}},"stopReason":"stop","timestamp":1784109737239,"responseId":"4b7762d3-e202-4784-90ea-1934b8437ee9"},{"role":"user","content":"采购到货\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 14:59:11', update_time = '2026-01-22 14:59:11' where ecid = 'hsjm' and arrival_no = 'PAD2026000001';\n\n\n把 时间等于送货时间。\n-- 采购到货主表\n\n\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\n\n把 时间等于送货时间。\n-- 采购到货明细","timestamp":1784109773108,"idempotencyKey":"c1f0893e-59e7-4e66-8ebf-c96466a88991:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `ship_date`（送货时间/发货时间）。\n\n## 采购到货主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购到货明细表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival_detail ad\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON ad.ecid = a.ecid AND ad.arrival_no = a.arrival_no\nSET \n ad.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n ad.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ad.ecid = 'hsjm';\n```\n\n不过我看你的例子里，`ship_date` 和 `arrival_date` 都是 `'2026-01-22'`（同一天）。你说\"时间等于**送货时间**\"，那就是用 `ship_date` 作为日期源，没错吧？还是说你想用 `arrival_date`（到货时间）？\n\n---\n\n## 📋 完整更新清单（截至目前）\n\n| 序号 | 表 | 数据库 | 日期源字段 | 关联方式 |\n|------|-----|--------|-----------|---------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 直接更新 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate` | JOIN 主表 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 直接更新 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 直接更新 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date` | JOIN 主表 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 直接更新 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date` | JOIN 主表 |\n\n还继续有吗？一次性整完 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":427,"output":719,"cacheRead":29312,"cacheWrite":0,"totalTokens":30458,"cost":{"input":0.00042699999999999997,"output":0.001438,"cacheRead":0,"cacheWrite":0,"total":0.001865}},"stopReason":"stop","timestamp":1784109773806,"responseId":"8409c206-8436-4c31-93df-a6c9c78ea7a5"},{"role":"user","content":[{"type":"text","text":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验"}],"timestamp":1784109809518},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**来料检验表**，需要关联**采购到货单**获取 `ship_date`。\n\n关联关系：`qc_task_inspect` 通过某个字段关联到采购到货单？我先看看常见关联方式——通常来料检验单会记录 `arrival_no`（到货单号）和 `ecid`。\n\n如果 `qc_task_inspect` 里有 `arrival_no` 字段，关联到 `dmp_mc_purchase_arrival`：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect qi\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON qi.ecid = a.ecid AND qi.arrival_no = a.arrival_no\nSET \n qi.insp_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.insp_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE qi.ecid = 'hsjm';\n```\n\n不过我需要确认一下——`qc_task_inspect` 里**关联采购到货单的字段名是什么**？常见的有：\n- `arrival_no` — 到货单号\n- `src_bill_no` — 来源单据号\n\n你能看看表结构确认一下关联字段吗？或者直接告诉我 `qc_task_inspect` 里哪个字段存的是到货单号就行。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":317,"output":444,"cacheRead":30336,"cacheWrite":0,"totalTokens":31097,"cost":{"input":0.000317,"output":0.000888,"cacheRead":0,"cacheWrite":0,"total":0.001205}},"stopReason":"stop","timestamp":1784109809545,"responseId":"a97cc980-d1b1-4640-9631-1a5bc07b2155"}]}}
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Use when editing or reviewing\ntext to make it sound more natural and human-written. Based on Wikipedia's\ncomprehensive \"Signs of AI writing\" guide. Detects and fixes patterns including:\ninflated symbolism, promotional language, superficial -ing analyses, vague\nattributions, em dash overuse, rule of three, AI vocabulary words, negative\nparallelisms, and excessive conjunctive phrases.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"imap-smtp-email","name":"imap-smtp-email","description":"Read and send email via IMAP/SMTP. Check for new/unread messages, fetch content, search mailboxes, mark as read/unread, and send emails with attachments. Supports multiple accounts. Works with any IMAP/SMTP server including Gmail, Outlook, 163.com, vip.163.com, 126.com, vip.126.com, 188.com, and vip.188.com.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"meme-maker","name":"meme-maker","description":"Search meme templates, suggest formats, and generate local or hosted image memes.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"multi-search-engine","name":"multi-search-engine","description":"Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"MySQL","name":"MySQL","description":"Write correct MySQL queries with proper character sets, indexing, transactions, and production patterns.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"news-summary","name":"news-summary","description":"This skill should be used when the user asks for news updates, daily briefings, or what's happening in the world. Fetches news from trusted international RSS feeds and can create voice summaries.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"node-connect","name":"node-connect","description":"Diagnose OpenClaw Android, iOS, or macOS node pairing, QR/setup code, route, auth, and connection failures.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"node-inspect-debugger","name":"node-inspect-debugger","description":"Debug Node.js with node inspect, --inspect, breakpoints, CDP, heap, and CPU profiles.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"obsidian-official-cli","name":"obsidian-official-cli","description":"Work with Obsidian vaults using the official Obsidian CLI (v1.12+). Open, search, create, move, and manage notes from the terminal. Use when working with Obsidian vaults for note management, file operations, searching content, managing tasks, properties, links, plugins, themes, sync operations, or any command-line interaction with Obsidian.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"opencode-controller","name":"opencode-controller","description":"Control and operate Opencode via slash commands. Use this skill to manage sessions, select models, switch agents (plan/build), and coordinate coding through Opencode.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"openspec","name":"openspec","description":"Spec-driven development with OpenSpec CLI. Use when building features, migrations, refactors, or any structured development work. Manages proposal → specs → design → tasks → implementation workflows. Supports custom schemas (TDD, rapid, etc.). Trigger on requests involving feature planning, spec writing, change management, or when /opsx commands are mentioned.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/openspec/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/openspec","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/openspec","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/openspec/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"python-debugpy","name":"python-debugpy","description":"Debug Python with pdb, breakpoint(), post-mortem inspection, and debugpy remote attach.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"qiushi-openclaw-skills","name":"qiushi-openclaw-skills","description":"求是 OpenClaw Skills 是基于毛泽东思想方法论的 AI Agent 技能集合，按照 OpenClaw 技能格式进行改造，旨在为 AI 提供系统化的思考和行动框架。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"requirements-analyst","name":"requirements-analyst","description":"将产品需求转化为前后端可执行的技术规范，输出离线性优先的结构化文档。当用户提出产品需求、PRD、功能描述或模糊想法时自动触发。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"rss-ai-reader","name":"rss-ai-reader","description":"📰 RSS AI 阅读器 — 自动抓取订阅、LLM生成摘要、多渠道推送！\n支持 Claude/OpenAI 生成中文摘要，推送到飞书/Telegram/Email。\n触发条件: 用户要求订阅RSS、监控博客、抓取新闻、生成摘要、设置定时抓取、\n\"帮我订阅\"、\"监控这个网站\"、\"每天推送新闻\"、RSS/Atom feed 相关。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"skill-creator","name":"skill-creator","description":"Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"spike","name":"spike","description":"Run throwaway prototypes to validate feasibility, compare approaches, and report a verdict.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"Spreadsheet & Data Wrangling Master","name":"Spreadsheet & Data Wrangling Master","description":"Complete spreadsheet methodology — data cleanup, transformation, analysis, dashboards, automation, and reporting. Works with CSV, Excel, Google Sheets, or any tabular data. Use when the user needs to clean messy data, build reports, create dashboards, automate recurring spreadsheet tasks, or transform data between formats.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"sql-toolkit","name":"sql-toolkit","description":"Query, design, migrate, and optimize SQL databases. Use when working with SQLite, PostgreSQL, or MySQL — schema design, writing queries, creating migrations, indexing, backup/restore, and debugging slow queries. No ORMs required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"taskflow","name":"taskflow","description":"Coordinate multi-step detached tasks as one durable TaskFlow job with owner context, state, waits, and child tasks.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"taskflow-inbox-triage","name":"taskflow-inbox-triage","description":"Example TaskFlow pattern for inbox triage, intent routing, waiting on replies, and later summaries.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"using-superpowers","name":"using-superpowers","description":"Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"weather","name":"weather","description":"Get current weather and forecasts (no API key required).","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/weather/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/weather","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/weather","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/weather/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"web-search","name":"web-search","description":"This skill should be used when users need to search the web for information, find current content, look up news articles, search for images, or find videos. It uses a self-hosted SearXNG instance to return results in clean, formatted output (text, markdown, or JSON). Use for research, fact-checking, finding recent information, or gathering web resources.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/web-search/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/web-search","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/web-search","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/web-search/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true}]},"prompting":{"skillsPrompt":"\n\nThe following skills provide specialized instructions for specific tasks.\nUse the read tool to load a skill's file when the task matches its description.\nIf a skill's <version> differs from a previous turn, re-read its SKILL.md before using it.\nWhen a skill file references a relative path, resolve it against the skill directory (parent of SKILL.md / dirname of the path) and use that absolute path in tool commands.\n\n<available_skills>\n <skill>\n <name>agent-browser</name>\n <description>Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection</description>\n <location>~/.openclaw/workspace/skills/agent-browser-clawdbot/SKILL.md</location>\n <version>sha256:9643b9c65476eedd</version>\n </skill>\n <skill>\n <name>chinese-calendar</name>\n <description>获取中国日历信息，包括节假日、调休安排、工作日判断。使用 timor.tech API，数据每年自动更新。Use when: 需要判断某天是否是工作日、查询节假日安排、了解调休情况。</description>\n <location>~/.openclaw/workspace/skills/chinese-calendar/SKILL.md</location>\n <version>sha256:40a9ba942647e641</version>\n </skill>\n <skill>\n <name>clawhub</name>\n <description>Search ClawHub for skills when a requested capability is not already available; install, verify, update, publish, or sync skills.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/clawhub/SKILL.md</location>\n <version>sha256:6bb70d95cbd1a545</version>\n </skill>\n <skill>\n <name>Code</name>\n <description>Coding workflow with planning, implementation, verification, and testing for clean software development.</description>\n <location>~/.openclaw/workspace/skills/openclaw-code/SKILL.md</location>\n <version>sha256:f09694134cc55cc0</version>\n </skill>\n <skill>\n <name>database-admin</name>\n <description>Comprehensive database administration, schema management, data operations, and optimization. Use when Codex needs to: (1) Create or modify database tables with proper indexing, (2) Perform bulk data insertions with type safety and constraint handling, (3) Execute complex queries with JOINs, aggregations, and subqueries, (4) Optimize query performance through indexing and execution plan analysis, (5) Manage database backups, restores, and migrations, (6) Handle special data types (BIGINT, UUID, JSONB, enums), (7) Implement transactional safety with ACID compliance, or (8) Debug and resolve database errors including constraint violations, type mismatches, and foreign key issues</description>\n <location>~/.openclaw/workspace/skills/database-admin/SKILL.md</location>\n <version>sha256:7649e43727f2fb8b</version>\n </skill>\n <skill>\n <name>database-schema-designer</name>\n <description>Database Schema Designer</description>\n <location>~/.openclaw/workspace/skills/database-schema-designer/SKILL.md</location>\n <version>sha256:3f2282ec8135dfdf</version>\n </skill>\n <skill>\n <name>db-query</name>\n <description>Query project databases with automatic SSH tunnel management. Use when you need to execute SQL queries against configured databases, especially those accessible only via SSH tunnels. Automatically manages SSH connection lifecycle (establishes tunnel before query, closes after). Supports multiple databases distinguished by description/name from config file.</description>\n <location>~/.openclaw/workspace/skills/db-query/SKILL.md</location>\n <version>sha256:eaffe1e617f2b8f2</version>\n </skill>\n <skill>\n <name>db-schema</name>\n <description>Generate database schemas, migrations, and ERD diagrams from plain English descriptions — supports PostgreSQL, MySQL, SQLite, and MongoDB with proper indexes and constraints.</description>\n <location>~/.openclaw/workspace/skills/db-schema-gen/SKILL.md</location>\n <version>sha256:c511ce8bb306f227</version>\n </skill>\n <skill>\n <name>deep-research-pro</name>\n <description>Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.</description>\n <location>~/.openclaw/workspace/skills/deep-research-pro/SKILL.md</location>\n <version>sha256:a780f8bbec442198</version>\n </skill>\n <skill>\n <name>diagram-maker</name>\n <description>Create SVG/HTML or Excalidraw diagrams for concepts, architecture, flows, and whiteboards.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker/SKILL.md</location>\n <version>sha256:6195e03fcb04a1a6</version>\n </skill>\n <skill>\n <name>dingtalk-channel-rules</name>\n <description>钉钉会话输出规则。在钉钉会话中始终生效。</description>\n <location>~/.openclaw/plugin-skills/dingtalk-channel-rules/SKILL.md</location>\n <version>sha256:4abd7ff39fd8ab23</version>\n </skill>\n <skill>\n <name>dingtalk-troubleshoot</name>\n <description>钉钉连接器问题排查。包含 dws CLI 常见错误处理、授权问题排查和连接故障诊断。\n当 dws 命令执行失败、授权异常、连接中断时自动激活。</description>\n <location>~/.openclaw/plugin-skills/dingtalk-troubleshoot/SKILL.md</location>\n <version>sha256:831e1260e77bcf9b</version>\n </skill>\n <skill>\n <name>docker-essentials</name>\n <description>Essential Docker commands and workflows for container management, image operations, and debugging.</description>\n <location>~/.openclaw/workspace/skills/docker-essentials/SKILL.md</location>\n <version>sha256:bf8120febd5275b0</version>\n </skill>\n <skill>\n <name>dws</name>\n <description>管理钉钉产品能力(AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/开放平台文档/钉钉文档/钉钉云盘/AI听记/邮箱/在线电子表格/知识库等)。当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报（钉钉日志模版）、读写钉钉文档、上传下载云盘文件、查询听记纪要、收发邮件、读写在线电子表格(axls)、管理钉钉知识库时使用。</description>\n <location>~/.openclaw/skills/dws/SKILL.md</location>\n <version>sha256:25f131a2e41eeeca</version>\n </skill>\n <skill>\n <name>dws-cli</name>\n <description>在钉钉会话中通过 dws CLI 管理钉钉产品能力（AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/工作台等）。\n当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报时使用。</description>\n <location>~/.openclaw/plugin-skills/dws-cli/SKILL.md</location>\n <version>sha256:e1e0cb89e56c9a8d</version>\n </skill>\n <skill>\n <name>healthcheck</name>\n <description>Audit/harden OpenClaw hosts: SSH, firewall, updates, exposure, backups, disk encryption, gateway security.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck/SKILL.md</location>\n <version>sha256:518ec6e0482cf1c7</version>\n </skill>\n <skill>\n <name>humanizer</name>\n <description>Remove signs of AI-generated writing from text. Use when editing or reviewing\ntext to make it sound more natural and human-written. Based on Wikipedia's\ncomprehensive "Signs of AI writing" guide. Detects and fixes patterns including:\ninflated symbolism, promotional language, superficial -ing analyses, vague\nattributions, em dash overuse, rule of three, AI vocabulary words, negative\nparallelisms, and excessive conjunctive phrases.</description>\n <location>~/.openclaw/workspace/skills/humanizer/SKILL.md</location>\n <version>sha256:d7ce483d368e4301</version>\n </skill>\n <skill>\n <name>imap-smtp-email</name>\n <description>Read and send email via IMAP/SMTP. Check for new/unread messages, fetch content, search mailboxes, mark as read/unread, and send emails with attachments. Supports multiple accounts. Works with any IMAP/SMTP server including Gmail, Outlook, 163.com, vip.163.com, 126.com, vip.126.com, 188.com, and vip.188.com.</description>\n <location>~/.openclaw/workspace/skills/imap-smtp-email/SKILL.md</location>\n <version>sha256:01345a894f2863a4</version>\n </skill>\n <skill>\n <name>meme-maker</name>\n <description>Search meme templates, suggest formats, and generate local or hosted image memes.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md</location>\n <version>sha256:8b8832f9f0f58b16</version>\n </skill>\n <skill>\n <name>multi-search-engine</name>\n <description>Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required.</description>\n <location>~/.openclaw/workspace/skills/multi-search-engine/SKILL.md</location>\n <version>sha256:ef2d2706e82ad0fc</version>\n </skill>\n <skill>\n <name>MySQL</name>\n <description>Write correct MySQL queries with proper character sets, indexing, transactions, and production patterns.</description>\n <location>~/.openclaw/workspace/skills/MySQL/SKILL.md</location>\n <version>sha256:97003e1d9502f459</version>\n </skill>\n <skill>\n <name>news-summary</name>\n <description>This skill should be used when the user asks for news updates, daily briefings, or what's happening in the world. Fetches news from trusted international RSS feeds and can create voice summaries.</description>\n <location>~/.openclaw/workspace/skills/news-summary/SKILL.md</location>\n <version>sha256:1b4c45b56f567567</version>\n </skill>\n <skill>\n <name>node-connect</name>\n <description>Diagnose OpenClaw Android, iOS, or macOS node pairing, QR/setup code, route, auth, and connection failures.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md</location>\n <version>sha256:cc39026fd84e5cfa</version>\n </skill>\n <skill>\n <name>node-inspect-debugger</name>\n <description>Debug Node.js with node inspect, --inspect, breakpoints, CDP, heap, and CPU profiles.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md</location>\n <version>sha256:50d2f6828eaf4bbf</version>\n </skill>\n <skill>\n <name>obsidian-official-cli</name>\n <description>Work with Obsidian vaults using the official Obsidian CLI (v1.12+). Open, search, create, move, and manage notes from the terminal. Use when working with Obsidian vaults for note management, file operations, searching content, managing tasks, properties, links, plugins, themes, sync operations, or any command-line interaction with Obsidian.</description>\n <location>~/.openclaw/workspace/skills/obsidian-official-cli/SKILL.md</location>\n <version>sha256:d9c66873957818a1</version>\n </skill>\n <skill>\n <name>opencode-controller</name>\n <description>Control and operate Opencode via slash commands. Use this skill to manage sessions, select models, switch agents (plan/build), and coordinate coding through Opencode.</description>\n <location>~/.openclaw/workspace/skills/opencode-controller/SKILL.md</location>\n <version>sha256:6535df08ba8b0bbc</version>\n </skill>\n <skill>\n <name>openspec</name>\n <description>Spec-driven development with OpenSpec CLI. Use when building features, migrations, refactors, or any structured development work. Manages proposal → specs → design → tasks → implementation workflows. Supports custom schemas (TDD, rapid, etc.). Trigger on requests involving feature planning, spec writing, change management, or when /opsx commands are mentioned.</description>\n <location>~/.openclaw/workspace/skills/openspec/SKILL.md</location>\n <version>sha256:720f832d1879e281</version>\n </skill>\n <skill>\n <name>python-debugpy</name>\n <description>Debug Python with pdb, breakpoint(), post-mortem inspection, and debugpy remote attach.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md</location>\n <version>sha256:bfb1891204b67260</version>\n </skill>\n <skill>\n <name>qiushi-openclaw-skills</name>\n <description>求是 OpenClaw Skills 是基于毛泽东思想方法论的 AI Agent 技能集合，按照 OpenClaw 技能格式进行改造，旨在为 AI 提供系统化的思考和行动框架。</description>\n <location>~/.openclaw/workspace/skills/qiushi-openclaw-skill/SKILL.md</location>\n <version>sha256:b21d933b7f61584d</version>\n </skill>\n <skill>\n <name>requirements-analyst</name>\n <description>将产品需求转化为前后端可执行的技术规范，输出离线性优先的结构化文档。当用户提出产品需求、PRD、功能描述或模糊想法时自动触发。</description>\n <location>~/.openclaw/workspace/skills/requirements-analyst/SKILL.md</location>\n <version>sha256:f766e6b7b585e7e8</version>\n </skill>\n <skill>\n <name>rss-ai-reader</name>\n <description>📰 RSS AI 阅读器 — 自动抓取订阅、LLM生成摘要、多渠道推送！\n支持 Claude/OpenAI 生成中文摘要，推送到飞书/Telegram/Email。\n触发条件: 用户要求订阅RSS、监控博客、抓取新闻、生成摘要、设置定时抓取、\n"帮我订阅"、"监控这个网站"、"每天推送新闻"、RSS/Atom feed 相关。</description>\n <location>~/.openclaw/workspace/skills/rss-ai-reader/SKILL.md</location>\n <version>sha256:0abcc8438f644cdb</version>\n </skill>\n <skill>\n <name>skill-creator</name>\n <description>Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md</location>\n <version>sha256:d15b25d332d835eb</version>\n </skill>\n <skill>\n <name>spike</name>\n <description>Run throwaway prototypes to validate feasibility, compare approaches, and report a verdict.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md</location>\n <version>sha256:1258cde2d0e53267</version>\n </skill>\n <skill>\n <name>Spreadsheet & Data Wrangling Master</name>\n <description>Complete spreadsheet methodology — data cleanup, transformation, analysis, dashboards, automation, and reporting. Works with CSV, Excel, Google Sheets, or any tabular data. Use when the user needs to clean messy data, build reports, create dashboards, automate recurring spreadsheet tasks, or transform data between formats.</description>\n <location>~/.openclaw/workspace/skills/afrexai-spreadsheet-master/SKILL.md</location>\n <version>sha256:6505a92ae50c1cdd</version>\n </skill>\n <skill>\n <name>sql-toolkit</name>\n <description>Query, design, migrate, and optimize SQL databases. Use when working with SQLite, PostgreSQL, or MySQL — schema design, writing queries, creating migrations, indexing, backup/restore, and debugging slow queries. No ORMs required.</description>\n <location>~/.openclaw/workspace/skills/sql-toolkit/SKILL.md</location>\n <version>sha256:515ecf904449a3cd</version>\n </skill>\n <skill>\n <name>taskflow</name>\n <description>Coordinate multi-step detached tasks as one durable TaskFlow job with owner context, state, waits, and child tasks.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md</location>\n <version>sha256:d8b6a48d329aef0a</version>\n </skill>\n <skill>\n <name>taskflow-inbox-triage</name>\n <description>Example TaskFlow pattern for inbox triage, intent routing, waiting on replies, and later summaries.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md</location>\n <version>sha256:1fe28cd924d8ae2d</version>\n </skill>\n <skill>\n <name>using-superpowers</name>\n <description>Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions</description>\n <location>~/.openclaw/workspace/skills/using-superpowers/SKILL.md</location>\n <version>sha256:81d921b16502091f</version>\n </skill>\n <skill>\n <name>weather</name>\n <description>Get current weather and forecasts (no API key required).</description>\n <location>~/.openclaw/workspace/skills/weather/SKILL.md</location>\n <version>sha256:1ca0c8d768ad603e</version>\n </skill>\n <skill>\n <name>web-search</name>\n <description>This skill should be used when users need to search the web for information, find current content, look up news articles, search for images, or find videos. 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{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","source":"runtime","type":"context.compiled","ts":"2026-07-15T10:03:55.549Z","seq":3,"sourceSeq":52,"sessionId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","sessionKey":"agent:main:dashboard:2fdf88e4-fa3f-46c2-b547-384e2c048b11","runId":"1b1a78a5-b104-491c-8c1a-3388b55520a1","workspaceDir":"/home/yangxuan/.openclaw/workspace","provider":"deepseek","modelId":"deepseek-v4-flash","modelApi":"openai-completions","data":{"systemPrompt":{"truncated":true,"reason":"trajectory-field-size-limit","originalChars":39560,"limitChars":32768},"prompt":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验 只有主表","messages":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate \n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","timestamp":1784109538113,"idempotencyKey":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"},{"role":"user","content":"保留原时分秒，只改日期部分\nUPDATE dmp_spom.dmp_mrp_main_plan_task SET plan_start_time='2026-07-07 11:03:04',create_time='2026-07-07 10:58:04',update_time='2026-07-07 11:03:04' WHERE ecid='kanda' AND plan_no='PLAN2026071414255193535522';\n-- 物料计划主表\n-- 批量更新 dmp_spom.dmp_mrp_main_plan_task 的 create_time update_time中的日期部分为 对应的plan_start_time","timestamp":1784109596434,"idempotencyKey":"7c28a842-8a9f-4cc4-9094-1298d4ce1a5c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**物料计划主表 `dmp_mrp_main_plan_task`**，要把 `create_time` 和 `update_time` 的日期部分改为对应的 `plan_start_time`，保留原时分秒。\n\n## 更新脚本\n\n```sql\nUPDATE dmp_spom.dmp_mrp_main_plan_task\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'kanda';\n```\n\n范围条件？我看你前面说的是\"计划开始时间是7月份的数据\"，但 `plan_start_time` 看样例已经是 7 月份。你对范围有要求吗？比如：\n\n```sql\n-- 如果只要 plan_start_time 在7月份的数据\nAND plan_start_time >= '2026-07-01' AND plan_start_time < '2026-08-01'\n\n-- 或者只要 plan_start_time 日期和 create_time 日期不一致的（避免无意义更新）\nAND DATE(plan_start_time) != DATE(create_time)\n```\n\n需要加范围条件吗？还是直接全量更新 `ecid = 'kanda'` 的所有记录？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":1021,"output":340,"cacheRead":26880,"cacheWrite":0,"totalTokens":28241,"cost":{"input":0.001021,"output":0.0006799999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0017009999999999998}},"stopReason":"stop","timestamp":1784109597165,"responseId":"3546056a-f6d1-4805-b0d2-e4d5739d2293"},{"role":"user","content":"采购订单\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37' where ecid = 'hsjm' and order_no ='PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 16:10:47', update_time ='2026-01-12 16:10:47' where ecid = 'hsjm' and order_no ='PO2026000002';\n把 时间等于下单时间。\n-- 采购订单\n-- 批量更新 dmp_serp.dmp_mc_purchase_order 的 create_time update_time中的日期部分为 对应的order_date\n\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\n把 时间等于下单时间。\n\n-- 采购明细表\n-- 批量更新 dmp_serp.dmp_mc_purchase_order_detail 的 create_time update_time中的日期部分为 对应的order_date","timestamp":1784109736511,"idempotencyKey":"dea79fe3-9e82-4fcc-932b-78fe7ffb7ea2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，两个表一起处理，都是**采购订单**相关，用 `order_date` 作为日期源。\n\n## 采购订单主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购订单明细表\n\n明细表需要通过 `order_no` 和 `ecid` 关联主表获取 `order_date`：\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order_detail pd\nJOIN dmp_serp.dmp_mc_purchase_order po \n ON pd.ecid = po.ecid AND pd.order_no = po.order_no\nSET \n pd.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pd.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE pd.ecid = 'hsjm';\n```\n\n同样你提到的 **plan_arrival_date**——明细表里也有这个字段，看你样例里也在改它。但你的需求描述里只提了 `create_time` 和 `update_time`，`plan_arrival_date` 是否需要基于主表的 `plan_arrival_date` 同步更新？如果需要，可以加上：\n\n```sql\n-- 在明细表的 SET 中加上 plan_arrival_date 同步\n pd.plan_arrival_date = po.plan_arrival_date,\n```\n\n---\n\n汇总一下你到目前为止的更新清单：\n\n| 序号 | 表 | 日期源字段 |\n|------|-----|-----------|\n| 1 | `dmp_serp.dmp_om_order` | `om_orderdate` |\n| 2 | `dmp_serp.dmp_om_productinfo` | 关联主表 `om_orderdate` |\n| 3 | `dmp_spom.dmp_mrp_main_plan_task` | `plan_start_time` |\n| 4 | `dmp_serp.dmp_mc_purchase_order` | `order_date` |\n| 5 | `dmp_serp.dmp_mc_purchase_order_detail` | 关联主表 `order_date` |\n\n还有其他表要处理吗？一次性都帮你搞定 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":537,"output":666,"cacheRead":28160,"cacheWrite":0,"totalTokens":29363,"cost":{"input":0.0005369999999999999,"output":0.0013319999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0018689999999999998}},"stopReason":"stop","timestamp":1784109737239,"responseId":"4b7762d3-e202-4784-90ea-1934b8437ee9"},{"role":"user","content":"采购到货\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 14:59:11', update_time = '2026-01-22 14:59:11' where ecid = 'hsjm' and arrival_no = 'PAD2026000001';\n\n\n把 时间等于送货时间。\n-- 采购到货主表\n\n\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\n\n把 时间等于送货时间。\n-- 采购到货明细","timestamp":1784109773108,"idempotencyKey":"c1f0893e-59e7-4e66-8ebf-c96466a88991:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `ship_date`（送货时间/发货时间）。\n\n## 采购到货主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购到货明细表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival_detail ad\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON ad.ecid = a.ecid AND ad.arrival_no = a.arrival_no\nSET \n ad.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n ad.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ad.ecid = 'hsjm';\n```\n\n不过我看你的例子里，`ship_date` 和 `arrival_date` 都是 `'2026-01-22'`（同一天）。你说\"时间等于**送货时间**\"，那就是用 `ship_date` 作为日期源，没错吧？还是说你想用 `arrival_date`（到货时间）？\n\n---\n\n## 📋 完整更新清单（截至目前）\n\n| 序号 | 表 | 数据库 | 日期源字段 | 关联方式 |\n|------|-----|--------|-----------|---------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 直接更新 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate` | JOIN 主表 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 直接更新 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 直接更新 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date` | JOIN 主表 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 直接更新 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date` | JOIN 主表 |\n\n还继续有吗？一次性整完 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":427,"output":719,"cacheRead":29312,"cacheWrite":0,"totalTokens":30458,"cost":{"input":0.00042699999999999997,"output":0.001438,"cacheRead":0,"cacheWrite":0,"total":0.001865}},"stopReason":"stop","timestamp":1784109773806,"responseId":"8409c206-8436-4c31-93df-a6c9c78ea7a5"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验","timestamp":1784109808938,"idempotencyKey":"4b7a78ce-766c-439b-8784-ec9eef3f92ac:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**来料检验表**，需要关联**采购到货单**获取 `ship_date`。\n\n关联关系：`qc_task_inspect` 通过某个字段关联到采购到货单？我先看看常见关联方式——通常来料检验单会记录 `arrival_no`（到货单号）和 `ecid`。\n\n如果 `qc_task_inspect` 里有 `arrival_no` 字段，关联到 `dmp_mc_purchase_arrival`：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect qi\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON qi.ecid = a.ecid AND qi.arrival_no = a.arrival_no\nSET \n qi.insp_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.insp_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE qi.ecid = 'hsjm';\n```\n\n不过我需要确认一下——`qc_task_inspect` 里**关联采购到货单的字段名是什么**？常见的有：\n- `arrival_no` — 到货单号\n- `src_bill_no` — 来源单据号\n\n你能看看表结构确认一下关联字段吗？或者直接告诉我 `qc_task_inspect` 里哪个字段存的是到货单号就行。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":317,"output":444,"cacheRead":30336,"cacheWrite":0,"totalTokens":31097,"cost":{"input":0.000317,"output":0.000888,"cacheRead":0,"cacheWrite":0,"total":0.001205}},"stopReason":"stop","timestamp":1784109809545,"responseId":"a97cc980-d1b1-4640-9631-1a5bc07b2155"}],"tools":[{"name":"agents_list","description":"List agent ids allowed for `sessions_spawn runtime=\"subagent\"`.","parameters":{"type":"object","properties":{}}},{"name":"apply_patch","description":"Apply a patch to one or more files using the apply_patch format. The input should include *** Begin Patch and *** End Patch markers.","parameters":{"type":"object","required":["input"],"properties":{"input":{"type":"string","description":"Patch content using the *** Begin Patch/End Patch format."}}}},{"name":"create_goal","description":"Create a goal only when explicitly requested by the user or system instructions. Fails if a goal already exists; use user-facing goal controls to clear it.","parameters":{"type":"object","required":["objective"],"properties":{"objective":{"type":"string","description":"Concrete objective to pursue. Create only when explicitly requested."},"token_budget":{"type":"number","description":"Optional positive token budget for this goal."}}}},{"name":"cron","description":"Manage Gateway cron jobs and wake events: reminders, check-back-later, delayed follow-ups, recurring work. Do not emulate scheduling with exec sleep/process polling.\n\nMain cron => system events for heartbeat. Isolated cron => background task in `openclaw tasks`.\n\nACTIONS:\n- status: scheduler status\n- list: compact job summaries; includeDisabled true includes disabled; use get for full job details; agentId filter auto-filled from session\n- get: one job; needs jobId\n- add: create job; needs job object\n- update: patch job; needs jobId + patch\n- remove: delete job; needs jobId\n- run: run only if due by default; needs jobId; pass runMode=\"force\" to trigger now\n- runs: run history; needs jobId\n- wake: send wake event; needs text, optional mode; defaults the target to the calling session/agent. Pass top-level sessionKey/agentId to wake a different lane owned by the calling agent.\n\nJOB SCHEMA (for add action):\n{\n \"name\": \"string\",\n \"schedule\": { ... }, // required\n \"trigger\": { \"script\": \"...\", \"once\": false }, // optional condition gate for every/cron\n \"payload\": { ... }, // required\n \"delivery\": { ... }, // optional announce for isolated/current/session, webhook for any target\n \"sessionTarget\": \"main\" | \"isolated\" | \"current\" | \"session:<id>\",\n \"enabled\": true | false // default true\n}\n\nSESSION TARGET OPTIONS:\n- \"main\": main session; requires payload.kind=\"systemEvent\"\n- \"isolated\": ephemeral isolated session; requires payload.kind=\"agentTurn\"\n- \"current\": bind current session at creation\n- \"session:<id>\": persistent named session\n\nDEFAULTS:\n- payload.kind=\"systemEvent\" → defaults to \"main\"\n- payload.kind=\"agentTurn\" → defaults to \"isolated\"\nCurrent binding needs sessionTarget=\"current\".\n\nSCHEDULE TYPES (schedule.kind):\n- \"at\": one-shot absolute time\n { \"kind\": \"at\", \"at\": \"<ISO-8601 timestamp>\" }\n- \"every\": recurring interval\n { \"kind\": \"every\", \"everyMs\": <ms>, \"anchorMs\": <optional-ms> }\n- \"cron\": expr in supplied timezone, or Gateway host local timezone when tz omitted\n { \"kind\": \"cron\", \"expr\": \"<cron-expression>\", \"tz\": \"<optional-IANA-timezone>\" }\n Write expr in local wall-clock time; do not convert the requested local time to UTC first.\n tz omitted => Gateway host local timezone, not UTC.\n Example 6pm Shanghai daily: { \"kind\": \"cron\", \"expr\": \"0 18 * * *\", \"tz\": \"Asia/Shanghai\" }\n\nOptional trigger scripts poll headlessly on every/cron schedules and run the payload only when they return { fire: true }.\n\nFor \"at\", ISO timestamps without timezone are UTC.\n\nPAYLOAD TYPES (payload.kind):\n- \"systemEvent\": inject text as system event\n { \"kind\": \"systemEvent\", \"text\": \"<message>\" }\n- \"agentTurn\": run agent with prompt; isolated/current/session only\n { \"kind\": \"agentTurn\", \"message\": \"<prompt>\", \"model\": \"<optional>\", \"thinking\": \"<optional>\", \"timeoutSeconds\": <optional, 0=no timeout> }\n\nDELIVERY (top-level):\n { \"mode\": \"none|announce|webhook\", \"channel\": \"<optional>\", \"to\": \"<optional>\", \"threadId\": \"<optional>\", \"bestEffort\": <optional-bool> }\n - isolated agentTurn default when omitted: \"announce\"\n - announce: send to chat channel; isolated/current/session only; optional channel/to\n - threadId: chat thread/topic id\n - webhook: POST finished-run event to delivery.to URL\n - Specific chat/recipient: set announce delivery.channel/to; do not call messaging tools inside run.\n\nCRITICAL CONSTRAINTS:\n- sessionTarget=\"main\" REQUIRES payload.kind=\"systemEvent\"\n- sessionTarget=\"isolated\" | \"current\" | \"session:xxx\" REQUIRES payload.kind=\"agentTurn\"\n- Webhook: delivery.mode=\"webhook\" and delivery.to URL.\nDefault: prefer isolated agentTurn jobs unless the user explicitly wants current-session binding.\n\nRESTRICTED CRON RUNS:\n- Some isolated cron runs get narrow self-cleanup grant: status/list self-only, get/runs current job only, mutation only remove current job.\n\nWAKE MODES (for wake action):\n- \"next-heartbeat\" default: wake next heartbeat\n- \"now\": wake immediately\n\nUse jobId canonical; id accepted compat. contextMessages (0-10) adds previous messages as job context.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"includeDisabled":{"type":"boolean"},"job":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"additionalProperties":true},"jobId":{"type":"string"},"id":{"type":"string"},"patch":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"additionalProperties":true},"text":{"type":"string"},"mode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"runMode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Run mode for action=\"run\": omitted defaults to \"due\"; use \"force\" to trigger now."},"contextMessages":{"type":"integer","minimum":0,"maximum":10},"agentId":{"type":"string","description":"List filter for `action: \"list\"`; wake target override for `action: \"wake\"` (defaults to the calling agent when omitted on wake)"},"sessionKey":{"type":"string","description":"Wake target override for `action: \"wake\"`: route the event to another session owned by the calling agent. Defaults to the resolved calling-session key when omitted."}},"additionalProperties":true}},{"name":"edit","description":"Edit a single file using exact text replacement. Every edits[].oldText must match a unique, non-overlapping region of the original file. If two changes affect the same block or nearby lines, merge them into one edit instead of emitting overlapping edits. Do not include large unchanged regions just to connect distant changes.","parameters":{"type":"object","required":["path","edits"],"properties":{"path":{"type":"string","description":"Path to the file to edit (relative or absolute)"},"edits":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"One or more targeted replacements. Each edit is matched against the original file, not incrementally. Do not include overlapping or nested edits. If two changes touch the same block or nearby lines, merge them into one edit instead."}},"additionalProperties":false}},{"name":"exec","description":"Execute shell commands with background continuation for work that starts now. Use yieldMs/background to continue later via process tool. For long-running work started now, rely on automatic completion wake when it is enabled and the command emits output or fails; otherwise use process to confirm completion. Use process whenever you need logs, status, input, or intervention. Do not use exec sleep or delay loops for reminders or deferred follow-ups; use cron instead. Use pty=true for TTY-required commands (terminal UIs, coding agents).","parameters":{"type":"object","required":["command"],"properties":{"command":{"type":"string","description":"Shell command to execute"},"workdir":{"type":"string","description":"Working directory. Blank/whitespace values are invalid; omit to use the default cwd."},"env":{"type":"object","patternProperties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"yieldMs":{"type":"number","description":"Milliseconds to wait before backgrounding (default 10000)"},"background":{"type":"boolean","description":"Run in background immediately"},"timeout":{"type":"number","description":"Timeout in seconds (optional, kills process on expiry)"},"pty":{"type":"boolean","description":"Run in a pseudo-terminal (PTY) when available (TTY-required CLIs, coding agents)"},"elevated":{"type":"boolean","description":"Run on the host with elevated permissions (if allowed)"},"host":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Exec host/target (auto|sandbox|gateway|node)."},"security":{"type":"string","description":"Ignored for normal calls; exec security is set by tools.exec.security and host approvals."},"ask":{"type":"string","description":"Baseline ask comes from tools.exec.ask and host approvals; channel-origin calls ignore per-call ask when effective host ask is off."},"node":{"type":"string","description":"Node id/name for host=node."}}}},{"name":"gateway","description":"Gateway restart/config/update. Before config edits, use config.schema.lookup with targeted dot path. Prefer config.patch for partial merge; config.apply only full replace. For config.patch that intentionally removes array entries, pass replacePaths with the exact affected array path. Writes hot-reload or restart as needed. Always pass human `note` for post-restart delivery. If post-restart work must continue internally, pass one-shot `continuationMessage`; visible follow-up from that turn must use the message tool. Do not write restart sentinel files directly.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"delayMs":{"type":"integer","minimum":0},"reason":{"type":"string"},"continuationMessage":{"type":"string"},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"path":{"type":"string"},"raw":{"type":"string"},"baseHash":{"type":"string"},"replacePaths":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"maxItems":256},"sessionKey":{"type":"string"},"note":{"type":"string"},"restartDelayMs":{"type":"integer","minimum":0}}}},{"name":"get_goal","description":"Get the current goal for this thread, including status and token usage.","parameters":{"type":"object","properties":{}}},{"name":"image","description":"Analyze images with available vision model. Use image for one path/URL, images for max 20. Prompt says what to inspect.","parameters":{"type":"object","properties":{"prompt":{"type":"string"},"image":{"type":"string","description":"One image path/URL."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Image paths/URLs; maxImages default 20."},"model":{"type":"string"},"maxBytesMb":{"type":"number","exclusiveMinimum":0},"maxImages":{"type":"integer","minimum":1}}}},{"name":"image_generate","description":"Create/edit images. Session chats: background task; do not call image_generate again for same request; wait completion, then report through the current visible-reply contract with generated media attached using structured media fields. Transparent: outputFormat=\"png\" or \"webp\" + background=\"transparent\"; OpenAI also supports openai.background and routes default model to gpt-image-1.5. Use action=\"list\" for providers/models/readiness/auth, \"status\" for active task.","parameters":{"type":"object","properties":{"action":{"type":"string","description":"\"generate\" default, \"status\" active task, \"list\" providers/models."},"prompt":{"type":"string","description":"Image prompt."},"image":{"type":"string","description":"Reference image path/URL for edit."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference images for edit or style reference; max 14."},"model":{"type":"string","description":"Provider/model override, e.g. openai/gpt-image-2; transparent OpenAI: openai/gpt-image-1.5."},"filename":{"type":"string","description":"Output filename hint; basename preserved in managed media dir."},"size":{"type":"string","description":"Size hint: 1024x1024, 1536x1024, 1024x1536, 2048x2048, 3840x2160."},"aspectRatio":{"type":"string","description":"Aspect ratio: 1:1, 2:1, 20:9, 19.5:9, 2:3, 3:2, 2.35:1, 3:4, 4:3, 4:5, 5:4, 9:16, 9:19.5, 9:20, 16:9, 21:9, 1:2, 4:1, 1:4, 8:1, 1:8."},"resolution":{"type":"string","description":"Resolution: 1K, 2K, 4K; useful for Google."},"quality":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Quality: low, medium, high, auto."},"outputFormat":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Output format: png, jpeg, webp."},"background":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Background: transparent, opaque, auto. Transparent needs png/webp output."},"openai":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"fal":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"count":{"type":"integer","description":"Image count 1-4.","minimum":1,"maximum":4},"timeoutMs":{"type":"integer","description":"Provider timeout ms (300000 tends to be a safe amount).","minimum":1}}}},{"name":"memory_get","description":"Safe exact excerpt read from MEMORY.md or memory/*.md. Defaults to a bounded excerpt when lines are omitted, includes truncation/continuation info when more content exists, and `corpus=wiki` reads from registered compiled-wiki supplements.","parameters":{"type":"object","properties":{"path":{"type":"string"},"from":{"type":"integer","minimum":1},"lines":{"type":"integer","minimum":1},"corpus":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}},"required":["path"],"additionalProperties":false}},{"name":"memory_search","description":"Mandatory recall step: semantically search MEMORY.md + memory/*.md (and optional session transcripts) before answering questions about prior work, decisions, dates, people, preferences, or todos. Optional `corpus=wiki` or `corpus=all` also searches registered compiled-wiki supplements. `corpus=memory` restricts hits to indexed memory files (excludes session transcript chunks from ranking). `corpus=sessions` restricts hits to indexed session transcripts (same visibility rules as session history tools). If response has disabled=true, memory retrieval is unavailable and should be surfaced to the user.","parameters":{"type":"object","properties":{"query":{"type":"string"},"maxResults":{"type":"integer","minimum":1},"minScore":{"type":"number"},"corpus":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}},"required":["query"],"additionalProperties":false}},{"name":"message","description":"Send/delete/manage channel messages. Supports actions: send.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"channel":{"type":"string"},"target":{"type":"string","description":"Recipient/channel: E.164 for WhatsApp/Signal, Telegram chat id/@username, Discord/Slack/Mattermost <channelId|user:ID|channel:ID>, or iMessage handle/chat_id"},"targets":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"accountId":{"type":"string"},"dryRun":{"type":"boolean"},"message":{"type":"string"},"effectId":{"type":"string","description":"Effect id/name for sendWithEffect."},"effect":{"type":"string","description":"Alias for effectId."},"media":{"type":"string","description":"Media URL/path. data: use buffer."},"filename":{"type":"string"},"buffer":{"type":"string","description":"Base64 attachment payload; data URL ok."},"contentType":{"type":"string"},"mimeType":{"type":"string"},"caption":{"type":"string"},"attachments":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Structured attachments; each entry uses media."},"replyTo":{"type":"string"},"threadId":{"type":"string"},"asVoice":{"type":"boolean"},"silent":{"type":"boolean"},"quoteText":{"type":"string","description":"Telegram reply quote text."},"gifPlayback":{"type":"boolean"},"forceDocument":{"type":"boolean","description":"Send image/GIF/video as document; avoids compression."},"asDocument":{"type":"boolean","description":"Alias for forceDocument."},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1}}}},{"name":"node_inference","description":"Discover and run chat-capable Ollama models installed on paired desktop/server nodes. Use action=discover first, then action=run with a node and model from that result. Inference stays on the selected node.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"node":{"type":"string","description":"Connected node id or display name. Required when ambiguous."},"model":{"type":"string","description":"Exact local model name returned by discover."},"prompt":{"type":"string","description":"Prompt for action=run."},"system":{"type":"string","description":"Optional system prompt for action=run."},"temperature":{"type":"number","minimum":0,"maximum":2},"maxTokens":{"type":"integer","minimum":1,"maximum":8192},"timeoutMs":{"type":"integer","minimum":1,"maximum":600000}},"additionalProperties":false}},{"name":"nodes","description":"Discover/control paired nodes: status, describe, pairing, notify, camera/photos/screen/location/notifications/invoke. Use file_fetch for files.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"node":{"type":"string"},"requestId":{"type":"string"},"title":{"type":"string"},"body":{"type":"string"},"sound":{"type":"string"},"priority":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"delivery":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"facing":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"camera_snap: front/back/both; camera_clip: front/back only."},"maxWidth":{"type":"integer","minimum":1},"quality":{"type":"number","minimum":0,"maximum":1},"delayMs":{"type":"integer","minimum":0},"deviceId":{"type":"string"},"limit":{"type":"integer","minimum":1,"maximum":20},"duration":{"type":"string"},"durationMs":{"type":"integer","minimum":1,"maximum":300000},"includeAudio":{"type":"boolean"},"fps":{"type":"number","exclusiveMinimum":0},"screenIndex":{"type":"integer","minimum":0},"outPath":{"type":"string"},"maxAgeMs":{"type":"integer","minimum":0},"locationTimeoutMs":{"type":"integer","minimum":1},"desiredAccuracy":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"notificationAction":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"notificationKey":{"type":"string"},"notificationReplyText":{"type":"string"},"invokeCommand":{"type":"string"},"invokeParamsJson":{"type":"string"},"invokeTimeoutMs":{"type":"integer","minimum":1}}}},{"name":"pdf","description":"Analyze PDFs with model. Anthropic/Google native PDF when supported; else text/image extraction. Use pdf for one, pdfs for max 10; prompt says what to inspect.","parameters":{"type":"object","properties":{"prompt":{"type":"string"},"pdf":{"type":"string","description":"One PDF path/URL."},"pdfs":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"PDF paths/URLs; max 10."},"pages":{"type":"string","description":"Pages, e.g. \"1-5\", \"1,3,5-7\"; default all."},"model":{"type":"string"},"maxBytesMb":{"type":"number","exclusiveMinimum":0}}}},{"name":"process","description":"Manage running exec sessions for commands already started: list, poll, log, write, send-keys, submit, paste, kill. Use poll/log when you need status, logs, quiet-success confirmation, or completion confirmation when automatic completion wake is unavailable. Use poll/log also for input-wait hints. Use write/send-keys/submit/paste/kill for input or intervention. Do not use process polling to emulate timers or reminders; use cron for scheduled follow-ups.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","description":"Process action (list|poll|log|write|send-keys|submit|paste|kill|clear|remove)"},"sessionId":{"type":"string","description":"Session id for actions other than list"},"data":{"type":"string","description":"Data to write for write"},"keys":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Key tokens to send for send-keys"},"hex":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Hex bytes to send for send-keys"},"literal":{"type":"string","description":"Literal string for send-keys"},"text":{"type":"string","description":"Text to paste for paste"},"bracketed":{"type":"boolean","description":"Wrap paste in bracketed mode"},"eof":{"type":"boolean","description":"Close stdin after write"},"offset":{"type":"number","description":"Log offset"},"limit":{"type":"number","description":"Log length"},"timeout":{"type":"number","description":"For poll: wait up to this many milliseconds before returning; max 30000 ms, higher values are clamped to 30000","minimum":0}}}},{"name":"read","description":"Read the contents of a file. Supports text files and images (jpg, png, gif, webp, bmp). Images are sent as attachments. For text files, output is truncated to 2000 lines or 50KB (whichever is hit first). Use offset/limit for large files. When you need the full file, continue with offset until complete.","parameters":{"type":"object","required":["path"],"properties":{"path":{"type":"string","description":"Path to the file to read (relative or absolute)"},"offset":{"type":"number","description":"Line number to start reading from (1-indexed)"},"limit":{"type":"number","description":"Maximum number of lines to read"}}}},{"name":"session_status","description":"Show /status-like card for current/visible session: model, usage, time, cost, tasks. Use `sessionKey=\"current\"` for current session; UI labels like `openclaw-tui` are not keys. `model` sets session override; `model=default` resets. Use for active model/session config questions.","parameters":{"type":"object","properties":{"sessionKey":{"type":"string"},"model":{"type":"string"}}}},{"name":"sessions_history","description":"Fetch sanitized history for visible session. Use before replying, debugging, resuming; supports limit, offset pagination, and tool-message inclusion.","parameters":{"type":"object","required":["sessionKey"],"properties":{"sessionKey":{"type":"string"},"limit":{"type":"integer","minimum":1},"offset":{"type":"integer","minimum":0},"includeTools":{"type":"boolean"}}}},{"name":"sessions_list","description":"List visible sessions; filter by kind, label, agentId, search, activity, archive state. Use before sessions_history or sessions_send target selection.","parameters":{"type":"object","properties":{"kinds":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"limit":{"type":"integer","minimum":1},"activeMinutes":{"type":"integer","minimum":1},"messageLimit":{"type":"integer","minimum":0},"label":{"type":"string","minLength":1},"agentId":{"type":"string","minLength":1,"maxLength":64},"search":{"type":"string","minLength":1},"archived":{"type":"boolean"},"includeDerivedTitles":{"type":"boolean"},"includeLastMessage":{"type":"boolean"}}}},{"name":"sessions_send","description":"Send message to visible session by sessionKey/label, or configured agent by agentId; sessionKey wins when redundant label metadata is present. Thread-scoped chats rejected; target parent channel session. Creates missing configured-agent main session; waits for reply when available.","parameters":{"type":"object","required":["message"],"properties":{"sessionKey":{"type":"string"},"label":{"type":"string","minLength":1,"maxLength":512},"agentId":{"type":"string","minLength":1,"maxLength":64},"message":{"type":"string"},"timeoutSeconds":{"type":"integer","minimum":0}}}},{"name":"sessions_spawn","description":"Spawn clean child session; default `runtime=\"subagent\"`. `mode=\"run\"` one-shot background work. Subagents inherit parent workspace. Native subagents get task in first visible `[Subagent Task]` message. Native only: `context=\"fork\"` only when child needs current transcript; else omit or `isolated`. Use for fresh child-session work. Delegate sidecar/parallel tasks: batch file reads, multi-step searches, data collection. Avoid delegating quick lookups or single-file reads unless policy prefers delegation. After spawning, do non-overlapping work while run-mode results return.","parameters":{"type":"object","required":["task"],"properties":{"task":{"type":"string"},"taskName":{"type":"string","description":"Stable alias for later targeting; lowercase letters/digits/underscores/hyphens, starts letter."},"label":{"type":"string"},"runtime":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"agentId":{"type":"string"},"model":{"type":"string"},"thinking":{"type":"string"},"cwd":{"type":"string"},"mode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"cleanup":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"sandbox":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"context":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Native context. Omit/\"isolated\" for clean child; \"fork\" only when child needs requester transcript."},"lightContext":{"type":"boolean","description":"Light bootstrap context; runtime=\"subagent\" only."},"attachments":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"maxItems":50},"attachAs":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}}}},{"name":"sessions_yield","description":"End current turn. Use after spawning subagents; results arrive as next message.","parameters":{"type":"object","properties":{"message":{"type":"string"}}}},{"name":"skill_workshop","description":"Create, update, revise, list, inspect, apply, reject, or quarantine Skill Workshop proposals when reusable procedures should be captured, improved, or explicitly approved.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"create = new skill; update = existing live skill; revise = existing pending proposal; list/inspect discover pending proposals (not filesystem search); apply/reject/quarantine are explicit lifecycle actions."},"proposal_id":{"type":"string","description":"Existing proposal id for action=inspect, action=revise, action=apply, action=reject, or action=quarantine."},"name":{"type":"string","description":"Skill/proposal name. Required for create; for inspect/revise when proposal_id is unknown, resolves a pending proposal or returns candidates."},"query":{"type":"string","description":"Optional query for action=list."},"status":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Optional proposal status filter for action=list."},"limit":{"type":"integer","minimum":1,"maximum":50,"description":"Maximum proposals to return for action=list. Defaults to 20."},"description":{"type":"string","maxLength":160,"description":"Skill description for create/update/revise; max 160 bytes. On update, concise text shortens the proposal listing entry."},"skill_name":{"type":"string","description":"Existing skill name or key for action=update."},"proposal_content":{"type":"string","description":"Full proposed procedure markdown for action=create, action=update, or action=revise. It will be stored as PROPOSAL.md. Keep under configured skills.workshop.maxSkillBytes; default max is 40000 bytes."},"support_files":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Optional support files to store with the proposal."},"goal":{"type":"string","description":"Proposal or improvement goal."},"evidence":{"type":"string","description":"Short evidence or notes."},"reason":{"type":"string","description":"Optional reason for action=apply, action=reject, or action=quarantine."}},"additionalProperties":false}},{"name":"subagents","description":"List active and recent subagents for the requester session. If sessions_yield exists, use it for completion; do not poll wait loops.","parameters":{"type":"object","properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"recentMinutes":{"type":"integer","minimum":1}}}},{"name":"tts","description":"Use only for explicit audio intent (voice/speech/TTS) or active TTS config. Never use for ordinary text replies. Audio auto-delivered from tool result; after success follow reply instructions, no duplicate text/audio.","parameters":{"type":"object","required":["text"],"properties":{"text":{"type":"string","description":"Text to speak."},"channel":{"type":"string","description":"Channel id; output-format hint."},"timeoutMs":{"type":"integer","description":"Provider timeout ms.","minimum":1}}}},{"name":"update_goal","description":"Mark the current goal complete only when achieved, or blocked only after the same blocking condition recurs for at least three consecutive goal turns. Do not use blocked for ordinary difficulty or missing polish.","parameters":{"type":"object","required":["status"],"properties":{"status":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"complete | blocked."},"note":{"type":"string","description":"Short status note."}}}},{"name":"update_plan","description":"Update current run plan. Use for non-trivial multi-step work; keep plan current while executing. Short steps; max one `in_progress`; skip for simple one-step work.","parameters":{"type":"object","required":["plan"],"properties":{"explanation":{"type":"string","description":"Short note: what changed."},"plan":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"minItems":1,"description":"Ordered steps; max one in_progress."}}}},{"name":"video_generate","description":"Create videos. Session chats: background task; do not call video_generate again for same request; wait completion, then report through the current visible-reply contract with generated media attached using structured media fields. \"status\" checks active task. Duration may round to provider-supported value.","parameters":{"type":"object","properties":{"action":{"type":"string","description":"\"generate\" default, \"status\" active task, \"list\" providers/models."},"prompt":{"type":"string","description":"Video prompt."},"image":{"type":"string","description":"One reference image path/URL."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference images; max 9."},"imageRoles":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"`image` + `images` roles by index after de-dupe. Values: first_frame, last_frame, reference_image; empty string leaves unset."},"video":{"type":"string","description":"One reference video path/URL."},"videos":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference videos; max 4."},"videoRoles":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"`video` + `videos` roles by index after de-dupe. Value: reference_video; empty string leaves unset."},"model":{"type":"string","description":"Provider/model override, e.g. qwen/wan2.6-t2v."},"filename":{"type":"string","description":"Output filename hint; basename preserved in managed media dir."},"size":{"type":"string","description":"Size hint, e.g. 1280x720, 1920x1080."},"aspectRatio":{"type":"string","description":"Aspect ratio: 1:1, 16:9, 9:16, \"adaptive\", or provider value; unsupported normalized/ignored."},"resolution":{"type":"string","description":"Resolution: 360P, 480P, 540P, 720P, 768P, 1080P, 4K, or provider value; unsupported normalized/ignored."},"durationSeconds":{"type":"integer","description":"Target seconds; may round to nearest supported duration.","minimum":1},"audio":{"type":"boolean","description":"Generated-audio toggle."},"watermark":{"type":"boolean","description":"Watermark toggle."},"providerOptions":{"type":"object","patternProperties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Provider JSON options, e.g. {\"seed\":42}. Keys/types must match provider capabilities; mismatch skips candidate. Use action=list for accepted keys."},"timeoutMs":{"type":"integer","description":"Provider timeout ms.","minimum":1}}}},{"name":"write","description":"Write content to a file. Creates the file if it doesn't exist, overwrites if it does. Automatically creates parent directories.","parameters":{"type":"object","required":["path","content"],"properties":{"path":{"type":"string","description":"Path to the file to write (relative or absolute)"},"content":{"type":"string","description":"Content to write to the file"}}}}],"imagesCount":0,"streamStrategy":"boundary-aware:openai-completions","transport":"auto","transcriptLeafId":"82d0f116"}}
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{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","source":"runtime","type":"prompt.submitted","ts":"2026-07-15T10:03:55.579Z","seq":4,"sourceSeq":53,"sessionId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","sessionKey":"agent:main:dashboard:2fdf88e4-fa3f-46c2-b547-384e2c048b11","runId":"1b1a78a5-b104-491c-8c1a-3388b55520a1","workspaceDir":"/home/yangxuan/.openclaw/workspace","provider":"deepseek","modelId":"deepseek-v4-flash","modelApi":"openai-completions","data":{"prompt":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验 只有主表","systemPrompt":{"truncated":true,"reason":"trajectory-field-size-limit","originalChars":39560,"limitChars":32768},"messages":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate \n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","timestamp":1784109538113,"idempotencyKey":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"},{"role":"user","content":"保留原时分秒，只改日期部分\nUPDATE dmp_spom.dmp_mrp_main_plan_task SET plan_start_time='2026-07-07 11:03:04',create_time='2026-07-07 10:58:04',update_time='2026-07-07 11:03:04' WHERE ecid='kanda' AND plan_no='PLAN2026071414255193535522';\n-- 物料计划主表\n-- 批量更新 dmp_spom.dmp_mrp_main_plan_task 的 create_time update_time中的日期部分为 对应的plan_start_time","timestamp":1784109596434,"idempotencyKey":"7c28a842-8a9f-4cc4-9094-1298d4ce1a5c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**物料计划主表 `dmp_mrp_main_plan_task`**，要把 `create_time` 和 `update_time` 的日期部分改为对应的 `plan_start_time`，保留原时分秒。\n\n## 更新脚本\n\n```sql\nUPDATE dmp_spom.dmp_mrp_main_plan_task\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'kanda';\n```\n\n范围条件？我看你前面说的是\"计划开始时间是7月份的数据\"，但 `plan_start_time` 看样例已经是 7 月份。你对范围有要求吗？比如：\n\n```sql\n-- 如果只要 plan_start_time 在7月份的数据\nAND plan_start_time >= '2026-07-01' AND plan_start_time < '2026-08-01'\n\n-- 或者只要 plan_start_time 日期和 create_time 日期不一致的（避免无意义更新）\nAND DATE(plan_start_time) != DATE(create_time)\n```\n\n需要加范围条件吗？还是直接全量更新 `ecid = 'kanda'` 的所有记录？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":1021,"output":340,"cacheRead":26880,"cacheWrite":0,"totalTokens":28241,"cost":{"input":0.001021,"output":0.0006799999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0017009999999999998}},"stopReason":"stop","timestamp":1784109597165,"responseId":"3546056a-f6d1-4805-b0d2-e4d5739d2293"},{"role":"user","content":"采购订单\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37' where ecid = 'hsjm' and order_no ='PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 16:10:47', update_time ='2026-01-12 16:10:47' where ecid = 'hsjm' and order_no ='PO2026000002';\n把 时间等于下单时间。\n-- 采购订单\n-- 批量更新 dmp_serp.dmp_mc_purchase_order 的 create_time update_time中的日期部分为 对应的order_date\n\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\n把 时间等于下单时间。\n\n-- 采购明细表\n-- 批量更新 dmp_serp.dmp_mc_purchase_order_detail 的 create_time update_time中的日期部分为 对应的order_date","timestamp":1784109736511,"idempotencyKey":"dea79fe3-9e82-4fcc-932b-78fe7ffb7ea2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，两个表一起处理，都是**采购订单**相关，用 `order_date` 作为日期源。\n\n## 采购订单主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购订单明细表\n\n明细表需要通过 `order_no` 和 `ecid` 关联主表获取 `order_date`：\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order_detail pd\nJOIN dmp_serp.dmp_mc_purchase_order po \n ON pd.ecid = po.ecid AND pd.order_no = po.order_no\nSET \n pd.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pd.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE pd.ecid = 'hsjm';\n```\n\n同样你提到的 **plan_arrival_date**——明细表里也有这个字段，看你样例里也在改它。但你的需求描述里只提了 `create_time` 和 `update_time`，`plan_arrival_date` 是否需要基于主表的 `plan_arrival_date` 同步更新？如果需要，可以加上：\n\n```sql\n-- 在明细表的 SET 中加上 plan_arrival_date 同步\n pd.plan_arrival_date = po.plan_arrival_date,\n```\n\n---\n\n汇总一下你到目前为止的更新清单：\n\n| 序号 | 表 | 日期源字段 |\n|------|-----|-----------|\n| 1 | `dmp_serp.dmp_om_order` | `om_orderdate` |\n| 2 | `dmp_serp.dmp_om_productinfo` | 关联主表 `om_orderdate` |\n| 3 | `dmp_spom.dmp_mrp_main_plan_task` | `plan_start_time` |\n| 4 | `dmp_serp.dmp_mc_purchase_order` | `order_date` |\n| 5 | `dmp_serp.dmp_mc_purchase_order_detail` | 关联主表 `order_date` |\n\n还有其他表要处理吗？一次性都帮你搞定 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":537,"output":666,"cacheRead":28160,"cacheWrite":0,"totalTokens":29363,"cost":{"input":0.0005369999999999999,"output":0.0013319999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0018689999999999998}},"stopReason":"stop","timestamp":1784109737239,"responseId":"4b7762d3-e202-4784-90ea-1934b8437ee9"},{"role":"user","content":"采购到货\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 14:59:11', update_time = '2026-01-22 14:59:11' where ecid = 'hsjm' and arrival_no = 'PAD2026000001';\n\n\n把 时间等于送货时间。\n-- 采购到货主表\n\n\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\n\n把 时间等于送货时间。\n-- 采购到货明细","timestamp":1784109773108,"idempotencyKey":"c1f0893e-59e7-4e66-8ebf-c96466a88991:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `ship_date`（送货时间/发货时间）。\n\n## 采购到货主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购到货明细表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival_detail ad\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON ad.ecid = a.ecid AND ad.arrival_no = a.arrival_no\nSET \n ad.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n ad.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ad.ecid = 'hsjm';\n```\n\n不过我看你的例子里，`ship_date` 和 `arrival_date` 都是 `'2026-01-22'`（同一天）。你说\"时间等于**送货时间**\"，那就是用 `ship_date` 作为日期源，没错吧？还是说你想用 `arrival_date`（到货时间）？\n\n---\n\n## 📋 完整更新清单（截至目前）\n\n| 序号 | 表 | 数据库 | 日期源字段 | 关联方式 |\n|------|-----|--------|-----------|---------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 直接更新 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate` | JOIN 主表 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 直接更新 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 直接更新 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date` | JOIN 主表 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 直接更新 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date` | JOIN 主表 |\n\n还继续有吗？一次性整完 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":427,"output":719,"cacheRead":29312,"cacheWrite":0,"totalTokens":30458,"cost":{"input":0.00042699999999999997,"output":0.001438,"cacheRead":0,"cacheWrite":0,"total":0.001865}},"stopReason":"stop","timestamp":1784109773806,"responseId":"8409c206-8436-4c31-93df-a6c9c78ea7a5"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验","timestamp":1784109808938,"idempotencyKey":"4b7a78ce-766c-439b-8784-ec9eef3f92ac:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**来料检验表**，需要关联**采购到货单**获取 `ship_date`。\n\n关联关系：`qc_task_inspect` 通过某个字段关联到采购到货单？我先看看常见关联方式——通常来料检验单会记录 `arrival_no`（到货单号）和 `ecid`。\n\n如果 `qc_task_inspect` 里有 `arrival_no` 字段，关联到 `dmp_mc_purchase_arrival`：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect qi\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON qi.ecid = a.ecid AND qi.arrival_no = a.arrival_no\nSET \n qi.insp_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.insp_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE qi.ecid = 'hsjm';\n```\n\n不过我需要确认一下——`qc_task_inspect` 里**关联采购到货单的字段名是什么**？常见的有：\n- `arrival_no` — 到货单号\n- `src_bill_no` — 来源单据号\n\n你能看看表结构确认一下关联字段吗？或者直接告诉我 `qc_task_inspect` 里哪个字段存的是到货单号就行。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":317,"output":444,"cacheRead":30336,"cacheWrite":0,"totalTokens":31097,"cost":{"input":0.000317,"output":0.000888,"cacheRead":0,"cacheWrite":0,"total":0.001205}},"stopReason":"stop","timestamp":1784109809545,"responseId":"a97cc980-d1b1-4640-9631-1a5bc07b2155"}],"imagesCount":0}}
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{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","source":"runtime","type":"model.completed","ts":"2026-07-15T10:04:03.008Z","seq":5,"sourceSeq":54,"sessionId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","sessionKey":"agent:main:dashboard:2fdf88e4-fa3f-46c2-b547-384e2c048b11","runId":"1b1a78a5-b104-491c-8c1a-3388b55520a1","workspaceDir":"/home/yangxuan/.openclaw/workspace","provider":"deepseek","modelId":"deepseek-v4-flash","modelApi":"openai-completions","data":{"aborted":false,"externalAbort":false,"timedOut":false,"idleTimedOut":false,"timedOutDuringCompaction":false,"timedOutDuringToolExecution":false,"timedOutByRunBudget":false,"promptErrorSource":null,"usage":{"input":454,"output":309,"cacheRead":93824,"total":94587},"promptCache":{"lastCallUsage":{"input":55,"output":92,"cacheRead":31488,"cacheWrite":0,"total":31635},"lastCacheTouchAt":1784109840437},"compactionCount":0,"assistantTexts":["只有主表，没有关联明细。那 `qc_task_inspect` 直接用某个字段关联到采购到货单获取 `ship_date`。我需要先看看这个表里有什么关联字段。\n\n让我查一下表结构：","没有直连数据库的权限，没关系。你看看 `qc_task_inspect` 表里有什么字段可以用来关联到采购到货单？比如：\n\n- `arrival_no`（到货单号）\n- `src_bill_no` / `source_no`（来源单号）\n- `order_no`（采购订单号）\n- 或者其它什么字段？\n\n你告诉我关联字段名，我就能直接写出完整的 SQL 了。"],"finalPromptText":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验 只有主表","messagesSnapshot":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate \n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","timestamp":1784109538113,"idempotencyKey":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"},{"role":"user","content":"保留原时分秒，只改日期部分\nUPDATE dmp_spom.dmp_mrp_main_plan_task SET plan_start_time='2026-07-07 11:03:04',create_time='2026-07-07 10:58:04',update_time='2026-07-07 11:03:04' WHERE ecid='kanda' AND plan_no='PLAN2026071414255193535522';\n-- 物料计划主表\n-- 批量更新 dmp_spom.dmp_mrp_main_plan_task 的 create_time update_time中的日期部分为 对应的plan_start_time","timestamp":1784109596434,"idempotencyKey":"7c28a842-8a9f-4cc4-9094-1298d4ce1a5c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**物料计划主表 `dmp_mrp_main_plan_task`**，要把 `create_time` 和 `update_time` 的日期部分改为对应的 `plan_start_time`，保留原时分秒。\n\n## 更新脚本\n\n```sql\nUPDATE dmp_spom.dmp_mrp_main_plan_task\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'kanda';\n```\n\n范围条件？我看你前面说的是\"计划开始时间是7月份的数据\"，但 `plan_start_time` 看样例已经是 7 月份。你对范围有要求吗？比如：\n\n```sql\n-- 如果只要 plan_start_time 在7月份的数据\nAND plan_start_time >= '2026-07-01' AND plan_start_time < '2026-08-01'\n\n-- 或者只要 plan_start_time 日期和 create_time 日期不一致的（避免无意义更新）\nAND DATE(plan_start_time) != DATE(create_time)\n```\n\n需要加范围条件吗？还是直接全量更新 `ecid = 'kanda'` 的所有记录？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":1021,"output":340,"cacheRead":26880,"cacheWrite":0,"totalTokens":28241,"cost":{"input":0.001021,"output":0.0006799999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0017009999999999998}},"stopReason":"stop","timestamp":1784109597165,"responseId":"3546056a-f6d1-4805-b0d2-e4d5739d2293"},{"role":"user","content":"采购订单\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37' where ecid = 'hsjm' and order_no ='PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 16:10:47', update_time ='2026-01-12 16:10:47' where ecid = 'hsjm' and order_no ='PO2026000002';\n把 时间等于下单时间。\n-- 采购订单\n-- 批量更新 dmp_serp.dmp_mc_purchase_order 的 create_time update_time中的日期部分为 对应的order_date\n\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\n把 时间等于下单时间。\n\n-- 采购明细表\n-- 批量更新 dmp_serp.dmp_mc_purchase_order_detail 的 create_time update_time中的日期部分为 对应的order_date","timestamp":1784109736511,"idempotencyKey":"dea79fe3-9e82-4fcc-932b-78fe7ffb7ea2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，两个表一起处理，都是**采购订单**相关，用 `order_date` 作为日期源。\n\n## 采购订单主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购订单明细表\n\n明细表需要通过 `order_no` 和 `ecid` 关联主表获取 `order_date`：\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order_detail pd\nJOIN dmp_serp.dmp_mc_purchase_order po \n ON pd.ecid = po.ecid AND pd.order_no = po.order_no\nSET \n pd.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pd.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE pd.ecid = 'hsjm';\n```\n\n同样你提到的 **plan_arrival_date**——明细表里也有这个字段，看你样例里也在改它。但你的需求描述里只提了 `create_time` 和 `update_time`，`plan_arrival_date` 是否需要基于主表的 `plan_arrival_date` 同步更新？如果需要，可以加上：\n\n```sql\n-- 在明细表的 SET 中加上 plan_arrival_date 同步\n pd.plan_arrival_date = po.plan_arrival_date,\n```\n\n---\n\n汇总一下你到目前为止的更新清单：\n\n| 序号 | 表 | 日期源字段 |\n|------|-----|-----------|\n| 1 | `dmp_serp.dmp_om_order` | `om_orderdate` |\n| 2 | `dmp_serp.dmp_om_productinfo` | 关联主表 `om_orderdate` |\n| 3 | `dmp_spom.dmp_mrp_main_plan_task` | `plan_start_time` |\n| 4 | `dmp_serp.dmp_mc_purchase_order` | `order_date` |\n| 5 | `dmp_serp.dmp_mc_purchase_order_detail` | 关联主表 `order_date` |\n\n还有其他表要处理吗？一次性都帮你搞定 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":537,"output":666,"cacheRead":28160,"cacheWrite":0,"totalTokens":29363,"cost":{"input":0.0005369999999999999,"output":0.0013319999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0018689999999999998}},"stopReason":"stop","timestamp":1784109737239,"responseId":"4b7762d3-e202-4784-90ea-1934b8437ee9"},{"role":"user","content":"采购到货\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 14:59:11', update_time = '2026-01-22 14:59:11' where ecid = 'hsjm' and arrival_no = 'PAD2026000001';\n\n\n把 时间等于送货时间。\n-- 采购到货主表\n\n\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\n\n把 时间等于送货时间。\n-- 采购到货明细","timestamp":1784109773108,"idempotencyKey":"c1f0893e-59e7-4e66-8ebf-c96466a88991:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `ship_date`（送货时间/发货时间）。\n\n## 采购到货主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购到货明细表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival_detail ad\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON ad.ecid = a.ecid AND ad.arrival_no = a.arrival_no\nSET \n ad.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n ad.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ad.ecid = 'hsjm';\n```\n\n不过我看你的例子里，`ship_date` 和 `arrival_date` 都是 `'2026-01-22'`（同一天）。你说\"时间等于**送货时间**\"，那就是用 `ship_date` 作为日期源，没错吧？还是说你想用 `arrival_date`（到货时间）？\n\n---\n\n## 📋 完整更新清单（截至目前）\n\n| 序号 | 表 | 数据库 | 日期源字段 | 关联方式 |\n|------|-----|--------|-----------|---------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 直接更新 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate` | JOIN 主表 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 直接更新 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 直接更新 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date` | JOIN 主表 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 直接更新 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date` | JOIN 主表 |\n\n还继续有吗？一次性整完 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":427,"output":719,"cacheRead":29312,"cacheWrite":0,"totalTokens":30458,"cost":{"input":0.00042699999999999997,"output":0.001438,"cacheRead":0,"cacheWrite":0,"total":0.001865}},"stopReason":"stop","timestamp":1784109773806,"responseId":"8409c206-8436-4c31-93df-a6c9c78ea7a5"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验","timestamp":1784109808938,"idempotencyKey":"4b7a78ce-766c-439b-8784-ec9eef3f92ac:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**来料检验表**，需要关联**采购到货单**获取 `ship_date`。\n\n关联关系：`qc_task_inspect` 通过某个字段关联到采购到货单？我先看看常见关联方式——通常来料检验单会记录 `arrival_no`（到货单号）和 `ecid`。\n\n如果 `qc_task_inspect` 里有 `arrival_no` 字段，关联到 `dmp_mc_purchase_arrival`：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect qi\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON qi.ecid = a.ecid AND qi.arrival_no = a.arrival_no\nSET \n qi.insp_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.insp_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE qi.ecid = 'hsjm';\n```\n\n不过我需要确认一下——`qc_task_inspect` 里**关联采购到货单的字段名是什么**？常见的有：\n- `arrival_no` — 到货单号\n- `src_bill_no` — 来源单据号\n\n你能看看表结构确认一下关联字段吗？或者直接告诉我 `qc_task_inspect` 里哪个字段存的是到货单号就行。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":317,"output":444,"cacheRead":30336,"cacheWrite":0,"totalTokens":31097,"cost":{"input":0.000317,"output":0.000888,"cacheRead":0,"cacheWrite":0,"total":0.001205}},"stopReason":"stop","timestamp":1784109809545,"responseId":"a97cc980-d1b1-4640-9631-1a5bc07b2155"},{"role":"user","content":[{"type":"text","text":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验 只有主表"}],"timestamp":1784109835586},{"role":"assistant","content":[{"type":"text","text":"只有主表，没有关联明细。那 `qc_task_inspect` 直接用某个字段关联到采购到货单获取 `ship_date`。我需要先看看这个表里有什么关联字段。\n\n让我查一下表结构："},{"type":"toolCall","id":"call_00_zNFXflO9uvHF88gvemNV1946","name":"exec","arguments":{"command":"mysql -u root -p'YourPassword' -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null || echo \"NEED_PASSWORD\""},"partialArgs":"{\"command\": \"mysql -u root -p'YourPassword' -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null || echo \\\"NEED_PASSWORD\\\"\"}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":320,"output":127,"cacheRead":30976,"cacheWrite":0,"totalTokens":31423,"cost":{"input":0.00031999999999999997,"output":0.000254,"cacheRead":0,"cacheWrite":0,"total":0.000574}},"stopReason":"toolUse","timestamp":1784109835616,"responseId":"6d7b9ef4-7af8-4b71-a201-06dba58c46a8"},{"role":"toolResult","toolCallId":"call_00_zNFXflO9uvHF88gvemNV1946","toolName":"exec","content":[{"type":"text","text":"NEED_PASSWORD"}],"details":{"status":"completed","exitCode":0,"exitSignal":null,"exitReason":"exit","durationMs":669,"aggregated":"NEED_PASSWORD","noOutputTimedOut":false,"cwd":"/home/yangxuan/.openclaw/workspace"},"isError":false,"timestamp":1784109838817},{"role":"assistant","content":[{"type":"toolCall","id":"call_00_PIuYMg0px60fCGWCIhay2037","name":"exec","arguments":{"command":"mysql -u root -p -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null | head -50","timeout":10},"partialArgs":"{\"command\": \"mysql -u root -p -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null | head -50\", \"timeout\": 10}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":79,"output":90,"cacheRead":31360,"cacheWrite":0,"totalTokens":31529,"cost":{"input":0.000079,"output":0.00017999999999999998,"cacheRead":0,"cacheWrite":0,"total":0.000259}},"stopReason":"toolUse","timestamp":1784109838831,"responseId":"1ac67ea0-15ab-4d4d-8d1a-bec64bd8a1be"},{"role":"toolResult","toolCallId":"call_00_PIuYMg0px60fCGWCIhay2037","toolName":"exec","content":[{"type":"text","text":"(no output)"}],"details":{"status":"completed","exitCode":0,"exitSignal":null,"exitReason":"exit","durationMs":24,"aggregated":"","noOutputTimedOut":false,"cwd":"/home/yangxuan/.openclaw/workspace"},"isError":false,"timestamp":1784109840424},{"role":"assistant","content":[{"type":"text","text":"没有直连数据库的权限，没关系。你看看 `qc_task_inspect` 表里有什么字段可以用来关联到采购到货单？比如：\n\n- `arrival_no`（到货单号）\n- `src_bill_no` / `source_no`（来源单号）\n- `order_no`（采购订单号）\n- 或者其它什么字段？\n\n你告诉我关联字段名，我就能直接写出完整的 SQL 了。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":55,"output":92,"cacheRead":31488,"cacheWrite":0,"totalTokens":31635,"cost":{"input":0.000054999999999999995,"output":0.000184,"cacheRead":0,"cacheWrite":0,"total":0.000239}},"stopReason":"stop","timestamp":1784109840437,"responseId":"e2a7cf1e-c246-4d51-b8a5-498bd181dfce"}]}}
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No API keys required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/deep-research-pro/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/deep-research-pro","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/deep-research-pro","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/deep-research-pro/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"diagram-maker","name":"diagram-maker","description":"Create SVG/HTML or Excalidraw diagrams for concepts, architecture, flows, and whiteboards.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"dingtalk-channel-rules","name":"dingtalk-channel-rules","description":"钉钉会话输出规则。在钉钉会话中始终生效。","filePath":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-channel-rules/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-channel-rules","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-channel-rules","origin":"top-level","path":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-channel-rules/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"dingtalk-troubleshoot","name":"dingtalk-troubleshoot","description":"钉钉连接器问题排查。包含 dws CLI 常见错误处理、授权问题排查和连接故障诊断。\n当 dws 命令执行失败、授权异常、连接中断时自动激活。","filePath":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-troubleshoot/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-troubleshoot","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-troubleshoot","origin":"top-level","path":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-troubleshoot/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"docker-essentials","name":"docker-essentials","description":"Essential Docker commands and workflows for container management, image operations, and debugging.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/docker-essentials/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/docker-essentials","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/docker-essentials","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/docker-essentials/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"dws","name":"dws","description":"管理钉钉产品能力(AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/开放平台文档/钉钉文档/钉钉云盘/AI听记/邮箱/在线电子表格/知识库等)。当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报（钉钉日志模版）、读写钉钉文档、上传下载云盘文件、查询听记纪要、收发邮件、读写在线电子表格(axls)、管理钉钉知识库时使用。","filePath":"$OPENCLAW_STATE_DIR/skills/dws/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/skills/dws","source":"openclaw-managed","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/skills/dws","origin":"top-level","path":"$OPENCLAW_STATE_DIR/skills/dws/SKILL.md","scope":"project","source":"openclaw-managed"},"disableModelInvocation":false,"available":true},{"id":"dws-cli","name":"dws-cli","description":"在钉钉会话中通过 dws CLI 管理钉钉产品能力（AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/工作台等）。\n当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报时使用。","filePath":"$OPENCLAW_STATE_DIR/plugin-skills/dws-cli/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dws-cli","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dws-cli","origin":"top-level","path":"$OPENCLAW_STATE_DIR/plugin-skills/dws-cli/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"healthcheck","name":"healthcheck","description":"Audit/harden OpenClaw hosts: SSH, firewall, updates, exposure, backups, disk encryption, gateway security.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"humanizer","name":"humanizer","description":"Remove signs of AI-generated writing from text. Use when editing or reviewing\ntext to make it sound more natural and human-written. Based on Wikipedia's\ncomprehensive \"Signs of AI writing\" guide. Detects and fixes patterns including:\ninflated symbolism, promotional language, superficial -ing analyses, vague\nattributions, em dash overuse, rule of three, AI vocabulary words, negative\nparallelisms, and excessive conjunctive phrases.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"imap-smtp-email","name":"imap-smtp-email","description":"Read and send email via IMAP/SMTP. Check for new/unread messages, fetch content, search mailboxes, mark as read/unread, and send emails with attachments. Supports multiple accounts. Works with any IMAP/SMTP server including Gmail, Outlook, 163.com, vip.163.com, 126.com, vip.126.com, 188.com, and vip.188.com.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"meme-maker","name":"meme-maker","description":"Search meme templates, suggest formats, and generate local or hosted image memes.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"multi-search-engine","name":"multi-search-engine","description":"Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"MySQL","name":"MySQL","description":"Write correct MySQL queries with proper character sets, indexing, transactions, and production patterns.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"news-summary","name":"news-summary","description":"This skill should be used when the user asks for news updates, daily briefings, or what's happening in the world. Fetches news from trusted international RSS feeds and can create voice summaries.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"node-connect","name":"node-connect","description":"Diagnose OpenClaw Android, iOS, or macOS node pairing, QR/setup code, route, auth, and connection failures.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"node-inspect-debugger","name":"node-inspect-debugger","description":"Debug Node.js with node inspect, --inspect, breakpoints, CDP, heap, and CPU profiles.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"obsidian-official-cli","name":"obsidian-official-cli","description":"Work with Obsidian vaults using the official Obsidian CLI (v1.12+). Open, search, create, move, and manage notes from the terminal. Use when working with Obsidian vaults for note management, file operations, searching content, managing tasks, properties, links, plugins, themes, sync operations, or any command-line interaction with Obsidian.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"opencode-controller","name":"opencode-controller","description":"Control and operate Opencode via slash commands. Use this skill to manage sessions, select models, switch agents (plan/build), and coordinate coding through Opencode.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"openspec","name":"openspec","description":"Spec-driven development with OpenSpec CLI. Use when building features, migrations, refactors, or any structured development work. Manages proposal → specs → design → tasks → implementation workflows. Supports custom schemas (TDD, rapid, etc.). Trigger on requests involving feature planning, spec writing, change management, or when /opsx commands are mentioned.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/openspec/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/openspec","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/openspec","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/openspec/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"python-debugpy","name":"python-debugpy","description":"Debug Python with pdb, breakpoint(), post-mortem inspection, and debugpy remote attach.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"qiushi-openclaw-skills","name":"qiushi-openclaw-skills","description":"求是 OpenClaw Skills 是基于毛泽东思想方法论的 AI Agent 技能集合，按照 OpenClaw 技能格式进行改造，旨在为 AI 提供系统化的思考和行动框架。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"requirements-analyst","name":"requirements-analyst","description":"将产品需求转化为前后端可执行的技术规范，输出离线性优先的结构化文档。当用户提出产品需求、PRD、功能描述或模糊想法时自动触发。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"rss-ai-reader","name":"rss-ai-reader","description":"📰 RSS AI 阅读器 — 自动抓取订阅、LLM生成摘要、多渠道推送！\n支持 Claude/OpenAI 生成中文摘要，推送到飞书/Telegram/Email。\n触发条件: 用户要求订阅RSS、监控博客、抓取新闻、生成摘要、设置定时抓取、\n\"帮我订阅\"、\"监控这个网站\"、\"每天推送新闻\"、RSS/Atom feed 相关。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"skill-creator","name":"skill-creator","description":"Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"spike","name":"spike","description":"Run throwaway prototypes to validate feasibility, compare approaches, and report a verdict.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"Spreadsheet & Data Wrangling Master","name":"Spreadsheet & Data Wrangling Master","description":"Complete spreadsheet methodology — data cleanup, transformation, analysis, dashboards, automation, and reporting. Works with CSV, Excel, Google Sheets, or any tabular data. Use when the user needs to clean messy data, build reports, create dashboards, automate recurring spreadsheet tasks, or transform data between formats.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"sql-toolkit","name":"sql-toolkit","description":"Query, design, migrate, and optimize SQL databases. Use when working with SQLite, PostgreSQL, or MySQL — schema design, writing queries, creating migrations, indexing, backup/restore, and debugging slow queries. No ORMs required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"taskflow","name":"taskflow","description":"Coordinate multi-step detached tasks as one durable TaskFlow job with owner context, state, waits, and child tasks.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"taskflow-inbox-triage","name":"taskflow-inbox-triage","description":"Example TaskFlow pattern for inbox triage, intent routing, waiting on replies, and later summaries.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"using-superpowers","name":"using-superpowers","description":"Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"weather","name":"weather","description":"Get current weather and forecasts (no API key required).","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/weather/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/weather","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/weather","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/weather/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"web-search","name":"web-search","description":"This skill should be used when users need to search the web for information, find current content, look up news articles, search for images, or find videos. It uses a self-hosted SearXNG instance to return results in clean, formatted output (text, markdown, or JSON). Use for research, fact-checking, finding recent information, or gathering web resources.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/web-search/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/web-search","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/web-search","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/web-search/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true}]},"prompting":{"skillsPrompt":"\n\nThe following skills provide specialized instructions for specific tasks.\nUse the read tool to load a skill's file when the task matches its description.\nIf a skill's <version> differs from a previous turn, re-read its SKILL.md before using it.\nWhen a skill file references a relative path, resolve it against the skill directory (parent of SKILL.md / dirname of the path) and use that absolute path in tool commands.\n\n<available_skills>\n <skill>\n <name>agent-browser</name>\n <description>Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection</description>\n <location>~/.openclaw/workspace/skills/agent-browser-clawdbot/SKILL.md</location>\n <version>sha256:9643b9c65476eedd</version>\n </skill>\n <skill>\n <name>chinese-calendar</name>\n <description>获取中国日历信息，包括节假日、调休安排、工作日判断。使用 timor.tech API，数据每年自动更新。Use when: 需要判断某天是否是工作日、查询节假日安排、了解调休情况。</description>\n <location>~/.openclaw/workspace/skills/chinese-calendar/SKILL.md</location>\n <version>sha256:40a9ba942647e641</version>\n </skill>\n <skill>\n <name>clawhub</name>\n <description>Search ClawHub for skills when a requested capability is not already available; install, verify, update, publish, or sync skills.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/clawhub/SKILL.md</location>\n <version>sha256:6bb70d95cbd1a545</version>\n </skill>\n <skill>\n <name>Code</name>\n <description>Coding workflow with planning, implementation, verification, and testing for clean software development.</description>\n <location>~/.openclaw/workspace/skills/openclaw-code/SKILL.md</location>\n <version>sha256:f09694134cc55cc0</version>\n </skill>\n <skill>\n <name>database-admin</name>\n <description>Comprehensive database administration, schema management, data operations, and optimization. Use when Codex needs to: (1) Create or modify database tables with proper indexing, (2) Perform bulk data insertions with type safety and constraint handling, (3) Execute complex queries with JOINs, aggregations, and subqueries, (4) Optimize query performance through indexing and execution plan analysis, (5) Manage database backups, restores, and migrations, (6) Handle special data types (BIGINT, UUID, JSONB, enums), (7) Implement transactional safety with ACID compliance, or (8) Debug and resolve database errors including constraint violations, type mismatches, and foreign key issues</description>\n <location>~/.openclaw/workspace/skills/database-admin/SKILL.md</location>\n <version>sha256:7649e43727f2fb8b</version>\n </skill>\n <skill>\n <name>database-schema-designer</name>\n <description>Database Schema Designer</description>\n <location>~/.openclaw/workspace/skills/database-schema-designer/SKILL.md</location>\n <version>sha256:3f2282ec8135dfdf</version>\n </skill>\n <skill>\n <name>db-query</name>\n <description>Query project databases with automatic SSH tunnel management. Use when you need to execute SQL queries against configured databases, especially those accessible only via SSH tunnels. Automatically manages SSH connection lifecycle (establishes tunnel before query, closes after). Supports multiple databases distinguished by description/name from config file.</description>\n <location>~/.openclaw/workspace/skills/db-query/SKILL.md</location>\n <version>sha256:eaffe1e617f2b8f2</version>\n </skill>\n <skill>\n <name>db-schema</name>\n <description>Generate database schemas, migrations, and ERD diagrams from plain English descriptions — supports PostgreSQL, MySQL, SQLite, and MongoDB with proper indexes and constraints.</description>\n <location>~/.openclaw/workspace/skills/db-schema-gen/SKILL.md</location>\n <version>sha256:c511ce8bb306f227</version>\n </skill>\n <skill>\n <name>deep-research-pro</name>\n <description>Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.</description>\n <location>~/.openclaw/workspace/skills/deep-research-pro/SKILL.md</location>\n <version>sha256:a780f8bbec442198</version>\n </skill>\n <skill>\n <name>diagram-maker</name>\n <description>Create SVG/HTML or Excalidraw diagrams for concepts, architecture, flows, and whiteboards.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker/SKILL.md</location>\n <version>sha256:6195e03fcb04a1a6</version>\n </skill>\n <skill>\n <name>dingtalk-channel-rules</name>\n <description>钉钉会话输出规则。在钉钉会话中始终生效。</description>\n <location>~/.openclaw/plugin-skills/dingtalk-channel-rules/SKILL.md</location>\n <version>sha256:4abd7ff39fd8ab23</version>\n </skill>\n <skill>\n <name>dingtalk-troubleshoot</name>\n <description>钉钉连接器问题排查。包含 dws CLI 常见错误处理、授权问题排查和连接故障诊断。\n当 dws 命令执行失败、授权异常、连接中断时自动激活。</description>\n <location>~/.openclaw/plugin-skills/dingtalk-troubleshoot/SKILL.md</location>\n <version>sha256:831e1260e77bcf9b</version>\n </skill>\n <skill>\n <name>docker-essentials</name>\n <description>Essential Docker commands and workflows for container management, image operations, and debugging.</description>\n <location>~/.openclaw/workspace/skills/docker-essentials/SKILL.md</location>\n <version>sha256:bf8120febd5275b0</version>\n </skill>\n <skill>\n <name>dws</name>\n <description>管理钉钉产品能力(AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/开放平台文档/钉钉文档/钉钉云盘/AI听记/邮箱/在线电子表格/知识库等)。当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报（钉钉日志模版）、读写钉钉文档、上传下载云盘文件、查询听记纪要、收发邮件、读写在线电子表格(axls)、管理钉钉知识库时使用。</description>\n <location>~/.openclaw/skills/dws/SKILL.md</location>\n <version>sha256:25f131a2e41eeeca</version>\n </skill>\n <skill>\n <name>dws-cli</name>\n <description>在钉钉会话中通过 dws CLI 管理钉钉产品能力（AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/工作台等）。\n当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报时使用。</description>\n <location>~/.openclaw/plugin-skills/dws-cli/SKILL.md</location>\n <version>sha256:e1e0cb89e56c9a8d</version>\n </skill>\n <skill>\n <name>healthcheck</name>\n <description>Audit/harden OpenClaw hosts: SSH, firewall, updates, exposure, backups, disk encryption, gateway security.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck/SKILL.md</location>\n <version>sha256:518ec6e0482cf1c7</version>\n </skill>\n <skill>\n <name>humanizer</name>\n <description>Remove signs of AI-generated writing from text. Use when editing or reviewing\ntext to make it sound more natural and human-written. Based on Wikipedia's\ncomprehensive "Signs of AI writing" guide. Detects and fixes patterns including:\ninflated symbolism, promotional language, superficial -ing analyses, vague\nattributions, em dash overuse, rule of three, AI vocabulary words, negative\nparallelisms, and excessive conjunctive phrases.</description>\n <location>~/.openclaw/workspace/skills/humanizer/SKILL.md</location>\n <version>sha256:d7ce483d368e4301</version>\n </skill>\n <skill>\n <name>imap-smtp-email</name>\n <description>Read and send email via IMAP/SMTP. Check for new/unread messages, fetch content, search mailboxes, mark as read/unread, and send emails with attachments. Supports multiple accounts. Works with any IMAP/SMTP server including Gmail, Outlook, 163.com, vip.163.com, 126.com, vip.126.com, 188.com, and vip.188.com.</description>\n <location>~/.openclaw/workspace/skills/imap-smtp-email/SKILL.md</location>\n <version>sha256:01345a894f2863a4</version>\n </skill>\n <skill>\n <name>meme-maker</name>\n <description>Search meme templates, suggest formats, and generate local or hosted image memes.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md</location>\n <version>sha256:8b8832f9f0f58b16</version>\n </skill>\n <skill>\n <name>multi-search-engine</name>\n <description>Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required.</description>\n <location>~/.openclaw/workspace/skills/multi-search-engine/SKILL.md</location>\n <version>sha256:ef2d2706e82ad0fc</version>\n </skill>\n <skill>\n <name>MySQL</name>\n <description>Write correct MySQL queries with proper character sets, indexing, transactions, and production patterns.</description>\n <location>~/.openclaw/workspace/skills/MySQL/SKILL.md</location>\n <version>sha256:97003e1d9502f459</version>\n </skill>\n <skill>\n <name>news-summary</name>\n <description>This skill should be used when the user asks for news updates, daily briefings, or what's happening in the world. Fetches news from trusted international RSS feeds and can create voice summaries.</description>\n <location>~/.openclaw/workspace/skills/news-summary/SKILL.md</location>\n <version>sha256:1b4c45b56f567567</version>\n </skill>\n <skill>\n <name>node-connect</name>\n <description>Diagnose OpenClaw Android, iOS, or macOS node pairing, QR/setup code, route, auth, and connection failures.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md</location>\n <version>sha256:cc39026fd84e5cfa</version>\n </skill>\n <skill>\n <name>node-inspect-debugger</name>\n <description>Debug Node.js with node inspect, --inspect, breakpoints, CDP, heap, and CPU profiles.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md</location>\n <version>sha256:50d2f6828eaf4bbf</version>\n </skill>\n <skill>\n <name>obsidian-official-cli</name>\n <description>Work with Obsidian vaults using the official Obsidian CLI (v1.12+). Open, search, create, move, and manage notes from the terminal. Use when working with Obsidian vaults for note management, file operations, searching content, managing tasks, properties, links, plugins, themes, sync operations, or any command-line interaction with Obsidian.</description>\n <location>~/.openclaw/workspace/skills/obsidian-official-cli/SKILL.md</location>\n <version>sha256:d9c66873957818a1</version>\n </skill>\n <skill>\n <name>opencode-controller</name>\n <description>Control and operate Opencode via slash commands. Use this skill to manage sessions, select models, switch agents (plan/build), and coordinate coding through Opencode.</description>\n <location>~/.openclaw/workspace/skills/opencode-controller/SKILL.md</location>\n <version>sha256:6535df08ba8b0bbc</version>\n </skill>\n <skill>\n <name>openspec</name>\n <description>Spec-driven development with OpenSpec CLI. Use when building features, migrations, refactors, or any structured development work. Manages proposal → specs → design → tasks → implementation workflows. Supports custom schemas (TDD, rapid, etc.). Trigger on requests involving feature planning, spec writing, change management, or when /opsx commands are mentioned.</description>\n <location>~/.openclaw/workspace/skills/openspec/SKILL.md</location>\n <version>sha256:720f832d1879e281</version>\n </skill>\n <skill>\n <name>python-debugpy</name>\n <description>Debug Python with pdb, breakpoint(), post-mortem inspection, and debugpy remote attach.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md</location>\n <version>sha256:bfb1891204b67260</version>\n </skill>\n <skill>\n <name>qiushi-openclaw-skills</name>\n <description>求是 OpenClaw Skills 是基于毛泽东思想方法论的 AI Agent 技能集合，按照 OpenClaw 技能格式进行改造，旨在为 AI 提供系统化的思考和行动框架。</description>\n <location>~/.openclaw/workspace/skills/qiushi-openclaw-skill/SKILL.md</location>\n <version>sha256:b21d933b7f61584d</version>\n </skill>\n <skill>\n <name>requirements-analyst</name>\n <description>将产品需求转化为前后端可执行的技术规范，输出离线性优先的结构化文档。当用户提出产品需求、PRD、功能描述或模糊想法时自动触发。</description>\n <location>~/.openclaw/workspace/skills/requirements-analyst/SKILL.md</location>\n <version>sha256:f766e6b7b585e7e8</version>\n </skill>\n <skill>\n <name>rss-ai-reader</name>\n <description>📰 RSS AI 阅读器 — 自动抓取订阅、LLM生成摘要、多渠道推送！\n支持 Claude/OpenAI 生成中文摘要，推送到飞书/Telegram/Email。\n触发条件: 用户要求订阅RSS、监控博客、抓取新闻、生成摘要、设置定时抓取、\n"帮我订阅"、"监控这个网站"、"每天推送新闻"、RSS/Atom feed 相关。</description>\n <location>~/.openclaw/workspace/skills/rss-ai-reader/SKILL.md</location>\n <version>sha256:0abcc8438f644cdb</version>\n </skill>\n <skill>\n <name>skill-creator</name>\n <description>Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md</location>\n <version>sha256:d15b25d332d835eb</version>\n </skill>\n <skill>\n <name>spike</name>\n <description>Run throwaway prototypes to validate feasibility, compare approaches, and report a verdict.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md</location>\n <version>sha256:1258cde2d0e53267</version>\n </skill>\n <skill>\n <name>Spreadsheet & Data Wrangling Master</name>\n <description>Complete spreadsheet methodology — data cleanup, transformation, analysis, dashboards, automation, and reporting. Works with CSV, Excel, Google Sheets, or any tabular data. Use when the user needs to clean messy data, build reports, create dashboards, automate recurring spreadsheet tasks, or transform data between formats.</description>\n <location>~/.openclaw/workspace/skills/afrexai-spreadsheet-master/SKILL.md</location>\n <version>sha256:6505a92ae50c1cdd</version>\n </skill>\n <skill>\n <name>sql-toolkit</name>\n <description>Query, design, migrate, and optimize SQL databases. Use when working with SQLite, PostgreSQL, or MySQL — schema design, writing queries, creating migrations, indexing, backup/restore, and debugging slow queries. No ORMs required.</description>\n <location>~/.openclaw/workspace/skills/sql-toolkit/SKILL.md</location>\n <version>sha256:515ecf904449a3cd</version>\n </skill>\n <skill>\n <name>taskflow</name>\n <description>Coordinate multi-step detached tasks as one durable TaskFlow job with owner context, state, waits, and child tasks.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md</location>\n <version>sha256:d8b6a48d329aef0a</version>\n </skill>\n <skill>\n <name>taskflow-inbox-triage</name>\n <description>Example TaskFlow pattern for inbox triage, intent routing, waiting on replies, and later summaries.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md</location>\n <version>sha256:1fe28cd924d8ae2d</version>\n </skill>\n <skill>\n <name>using-superpowers</name>\n <description>Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions</description>\n <location>~/.openclaw/workspace/skills/using-superpowers/SKILL.md</location>\n <version>sha256:81d921b16502091f</version>\n </skill>\n <skill>\n <name>weather</name>\n <description>Get current weather and forecasts (no API key required).</description>\n <location>~/.openclaw/workspace/skills/weather/SKILL.md</location>\n <version>sha256:1ca0c8d768ad603e</version>\n </skill>\n <skill>\n <name>web-search</name>\n <description>This skill should be used when users need to search the web for information, find current content, look up news articles, search for images, or find videos. 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{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","source":"runtime","type":"context.compiled","ts":"2026-07-15T10:04:30.091Z","seq":3,"sourceSeq":59,"sessionId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","sessionKey":"agent:main:dashboard:2fdf88e4-fa3f-46c2-b547-384e2c048b11","runId":"31a50ea4-daa6-44a6-b525-6e085ebd2335","workspaceDir":"/home/yangxuan/.openclaw/workspace","provider":"deepseek","modelId":"deepseek-v4-flash","modelApi":"openai-completions","data":{"systemPrompt":{"truncated":true,"reason":"trajectory-field-size-limit","originalChars":39560,"limitChars":32768},"prompt":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验\n-- 批量更新 dmp_smes.qc_task_inspect 的 create_time update_time中的日期部分为 对应insp_time","messages":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate \n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","timestamp":1784109538113,"idempotencyKey":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"},{"role":"user","content":"保留原时分秒，只改日期部分\nUPDATE dmp_spom.dmp_mrp_main_plan_task SET plan_start_time='2026-07-07 11:03:04',create_time='2026-07-07 10:58:04',update_time='2026-07-07 11:03:04' WHERE ecid='kanda' AND plan_no='PLAN2026071414255193535522';\n-- 物料计划主表\n-- 批量更新 dmp_spom.dmp_mrp_main_plan_task 的 create_time update_time中的日期部分为 对应的plan_start_time","timestamp":1784109596434,"idempotencyKey":"7c28a842-8a9f-4cc4-9094-1298d4ce1a5c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**物料计划主表 `dmp_mrp_main_plan_task`**，要把 `create_time` 和 `update_time` 的日期部分改为对应的 `plan_start_time`，保留原时分秒。\n\n## 更新脚本\n\n```sql\nUPDATE dmp_spom.dmp_mrp_main_plan_task\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'kanda';\n```\n\n范围条件？我看你前面说的是\"计划开始时间是7月份的数据\"，但 `plan_start_time` 看样例已经是 7 月份。你对范围有要求吗？比如：\n\n```sql\n-- 如果只要 plan_start_time 在7月份的数据\nAND plan_start_time >= '2026-07-01' AND plan_start_time < '2026-08-01'\n\n-- 或者只要 plan_start_time 日期和 create_time 日期不一致的（避免无意义更新）\nAND DATE(plan_start_time) != DATE(create_time)\n```\n\n需要加范围条件吗？还是直接全量更新 `ecid = 'kanda'` 的所有记录？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":1021,"output":340,"cacheRead":26880,"cacheWrite":0,"totalTokens":28241,"cost":{"input":0.001021,"output":0.0006799999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0017009999999999998}},"stopReason":"stop","timestamp":1784109597165,"responseId":"3546056a-f6d1-4805-b0d2-e4d5739d2293"},{"role":"user","content":"采购订单\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37' where ecid = 'hsjm' and order_no ='PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 16:10:47', update_time ='2026-01-12 16:10:47' where ecid = 'hsjm' and order_no ='PO2026000002';\n把 时间等于下单时间。\n-- 采购订单\n-- 批量更新 dmp_serp.dmp_mc_purchase_order 的 create_time update_time中的日期部分为 对应的order_date\n\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\n把 时间等于下单时间。\n\n-- 采购明细表\n-- 批量更新 dmp_serp.dmp_mc_purchase_order_detail 的 create_time update_time中的日期部分为 对应的order_date","timestamp":1784109736511,"idempotencyKey":"dea79fe3-9e82-4fcc-932b-78fe7ffb7ea2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，两个表一起处理，都是**采购订单**相关，用 `order_date` 作为日期源。\n\n## 采购订单主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购订单明细表\n\n明细表需要通过 `order_no` 和 `ecid` 关联主表获取 `order_date`：\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order_detail pd\nJOIN dmp_serp.dmp_mc_purchase_order po \n ON pd.ecid = po.ecid AND pd.order_no = po.order_no\nSET \n pd.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pd.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE pd.ecid = 'hsjm';\n```\n\n同样你提到的 **plan_arrival_date**——明细表里也有这个字段，看你样例里也在改它。但你的需求描述里只提了 `create_time` 和 `update_time`，`plan_arrival_date` 是否需要基于主表的 `plan_arrival_date` 同步更新？如果需要，可以加上：\n\n```sql\n-- 在明细表的 SET 中加上 plan_arrival_date 同步\n pd.plan_arrival_date = po.plan_arrival_date,\n```\n\n---\n\n汇总一下你到目前为止的更新清单：\n\n| 序号 | 表 | 日期源字段 |\n|------|-----|-----------|\n| 1 | `dmp_serp.dmp_om_order` | `om_orderdate` |\n| 2 | `dmp_serp.dmp_om_productinfo` | 关联主表 `om_orderdate` |\n| 3 | `dmp_spom.dmp_mrp_main_plan_task` | `plan_start_time` |\n| 4 | `dmp_serp.dmp_mc_purchase_order` | `order_date` |\n| 5 | `dmp_serp.dmp_mc_purchase_order_detail` | 关联主表 `order_date` |\n\n还有其他表要处理吗？一次性都帮你搞定 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":537,"output":666,"cacheRead":28160,"cacheWrite":0,"totalTokens":29363,"cost":{"input":0.0005369999999999999,"output":0.0013319999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0018689999999999998}},"stopReason":"stop","timestamp":1784109737239,"responseId":"4b7762d3-e202-4784-90ea-1934b8437ee9"},{"role":"user","content":"采购到货\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 14:59:11', update_time = '2026-01-22 14:59:11' where ecid = 'hsjm' and arrival_no = 'PAD2026000001';\n\n\n把 时间等于送货时间。\n-- 采购到货主表\n\n\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\n\n把 时间等于送货时间。\n-- 采购到货明细","timestamp":1784109773108,"idempotencyKey":"c1f0893e-59e7-4e66-8ebf-c96466a88991:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `ship_date`（送货时间/发货时间）。\n\n## 采购到货主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购到货明细表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival_detail ad\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON ad.ecid = a.ecid AND ad.arrival_no = a.arrival_no\nSET \n ad.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n ad.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ad.ecid = 'hsjm';\n```\n\n不过我看你的例子里，`ship_date` 和 `arrival_date` 都是 `'2026-01-22'`（同一天）。你说\"时间等于**送货时间**\"，那就是用 `ship_date` 作为日期源，没错吧？还是说你想用 `arrival_date`（到货时间）？\n\n---\n\n## 📋 完整更新清单（截至目前）\n\n| 序号 | 表 | 数据库 | 日期源字段 | 关联方式 |\n|------|-----|--------|-----------|---------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 直接更新 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate` | JOIN 主表 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 直接更新 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 直接更新 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date` | JOIN 主表 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 直接更新 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date` | JOIN 主表 |\n\n还继续有吗？一次性整完 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":427,"output":719,"cacheRead":29312,"cacheWrite":0,"totalTokens":30458,"cost":{"input":0.00042699999999999997,"output":0.001438,"cacheRead":0,"cacheWrite":0,"total":0.001865}},"stopReason":"stop","timestamp":1784109773806,"responseId":"8409c206-8436-4c31-93df-a6c9c78ea7a5"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验","timestamp":1784109808938,"idempotencyKey":"4b7a78ce-766c-439b-8784-ec9eef3f92ac:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**来料检验表**，需要关联**采购到货单**获取 `ship_date`。\n\n关联关系：`qc_task_inspect` 通过某个字段关联到采购到货单？我先看看常见关联方式——通常来料检验单会记录 `arrival_no`（到货单号）和 `ecid`。\n\n如果 `qc_task_inspect` 里有 `arrival_no` 字段，关联到 `dmp_mc_purchase_arrival`：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect qi\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON qi.ecid = a.ecid AND qi.arrival_no = a.arrival_no\nSET \n qi.insp_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.insp_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE qi.ecid = 'hsjm';\n```\n\n不过我需要确认一下——`qc_task_inspect` 里**关联采购到货单的字段名是什么**？常见的有：\n- `arrival_no` — 到货单号\n- `src_bill_no` — 来源单据号\n\n你能看看表结构确认一下关联字段吗？或者直接告诉我 `qc_task_inspect` 里哪个字段存的是到货单号就行。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":317,"output":444,"cacheRead":30336,"cacheWrite":0,"totalTokens":31097,"cost":{"input":0.000317,"output":0.000888,"cacheRead":0,"cacheWrite":0,"total":0.001205}},"stopReason":"stop","timestamp":1784109809545,"responseId":"a97cc980-d1b1-4640-9631-1a5bc07b2155"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验 只有主表","timestamp":1784109834801,"idempotencyKey":"1b1a78a5-b104-491c-8c1a-3388b55520a1:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"只有主表，没有关联明细。那 `qc_task_inspect` 直接用某个字段关联到采购到货单获取 `ship_date`。我需要先看看这个表里有什么关联字段。\n\n让我查一下表结构："},{"type":"toolCall","id":"call00zNFXflO9uvHF88gvemNV1946","name":"exec","arguments":{"command":"mysql -u root -p'YourPassword' -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null || echo \"NEED_PASSWORD\""},"partialArgs":"{\"command\": \"mysql -u root -p'YourPassword' -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null || echo \\\"NEED_PASSWORD\\\"\"}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":320,"output":127,"cacheRead":30976,"cacheWrite":0,"totalTokens":31423,"cost":{"input":0.00031999999999999997,"output":0.000254,"cacheRead":0,"cacheWrite":0,"total":0.000574}},"stopReason":"toolUse","timestamp":1784109835616,"responseId":"6d7b9ef4-7af8-4b71-a201-06dba58c46a8"},{"role":"toolResult","toolCallId":"call00zNFXflO9uvHF88gvemNV1946","toolName":"exec","content":[{"type":"text","text":"NEED_PASSWORD"}],"isError":false,"timestamp":1784109838817},{"role":"assistant","content":[{"type":"toolCall","id":"call00PIuYMg0px60fCGWCIhay2037","name":"exec","arguments":{"command":"mysql -u root -p -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null | head -50","timeout":10},"partialArgs":"{\"command\": \"mysql -u root -p -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null | head -50\", \"timeout\": 10}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":79,"output":90,"cacheRead":31360,"cacheWrite":0,"totalTokens":31529,"cost":{"input":0.000079,"output":0.00017999999999999998,"cacheRead":0,"cacheWrite":0,"total":0.000259}},"stopReason":"toolUse","timestamp":1784109838831,"responseId":"1ac67ea0-15ab-4d4d-8d1a-bec64bd8a1be"},{"role":"toolResult","toolCallId":"call00PIuYMg0px60fCGWCIhay2037","toolName":"exec","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1784109840424},{"role":"assistant","content":[{"type":"text","text":"没有直连数据库的权限，没关系。你看看 `qc_task_inspect` 表里有什么字段可以用来关联到采购到货单？比如：\n\n- `arrival_no`（到货单号）\n- `src_bill_no` / `source_no`（来源单号）\n- `order_no`（采购订单号）\n- 或者其它什么字段？\n\n你告诉我关联字段名，我就能直接写出完整的 SQL 了。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":55,"output":92,"cacheRead":31488,"cacheWrite":0,"totalTokens":31635,"cost":{"input":0.000054999999999999995,"output":0.000184,"cacheRead":0,"cacheWrite":0,"total":0.000239}},"stopReason":"stop","timestamp":1784109840437,"responseId":"e2a7cf1e-c246-4d51-b8a5-498bd181dfce"}],"tools":[{"name":"agents_list","description":"List agent ids allowed for `sessions_spawn runtime=\"subagent\"`.","parameters":{"type":"object","properties":{}}},{"name":"apply_patch","description":"Apply a patch to one or more files using the apply_patch format. The input should include *** Begin Patch and *** End Patch markers.","parameters":{"type":"object","required":["input"],"properties":{"input":{"type":"string","description":"Patch content using the *** Begin Patch/End Patch format."}}}},{"name":"create_goal","description":"Create a goal only when explicitly requested by the user or system instructions. Fails if a goal already exists; use user-facing goal controls to clear it.","parameters":{"type":"object","required":["objective"],"properties":{"objective":{"type":"string","description":"Concrete objective to pursue. Create only when explicitly requested."},"token_budget":{"type":"number","description":"Optional positive token budget for this goal."}}}},{"name":"cron","description":"Manage Gateway cron jobs and wake events: reminders, check-back-later, delayed follow-ups, recurring work. Do not emulate scheduling with exec sleep/process polling.\n\nMain cron => system events for heartbeat. Isolated cron => background task in `openclaw tasks`.\n\nACTIONS:\n- status: scheduler status\n- list: compact job summaries; includeDisabled true includes disabled; use get for full job details; agentId filter auto-filled from session\n- get: one job; needs jobId\n- add: create job; needs job object\n- update: patch job; needs jobId + patch\n- remove: delete job; needs jobId\n- run: run only if due by default; needs jobId; pass runMode=\"force\" to trigger now\n- runs: run history; needs jobId\n- wake: send wake event; needs text, optional mode; defaults the target to the calling session/agent. Pass top-level sessionKey/agentId to wake a different lane owned by the calling agent.\n\nJOB SCHEMA (for add action):\n{\n \"name\": \"string\",\n \"schedule\": { ... }, // required\n \"trigger\": { \"script\": \"...\", \"once\": false }, // optional condition gate for every/cron\n \"payload\": { ... }, // required\n \"delivery\": { ... }, // optional announce for isolated/current/session, webhook for any target\n \"sessionTarget\": \"main\" | \"isolated\" | \"current\" | \"session:<id>\",\n \"enabled\": true | false // default true\n}\n\nSESSION TARGET OPTIONS:\n- \"main\": main session; requires payload.kind=\"systemEvent\"\n- \"isolated\": ephemeral isolated session; requires payload.kind=\"agentTurn\"\n- \"current\": bind current session at creation\n- \"session:<id>\": persistent named session\n\nDEFAULTS:\n- payload.kind=\"systemEvent\" → defaults to \"main\"\n- payload.kind=\"agentTurn\" → defaults to \"isolated\"\nCurrent binding needs sessionTarget=\"current\".\n\nSCHEDULE TYPES (schedule.kind):\n- \"at\": one-shot absolute time\n { \"kind\": \"at\", \"at\": \"<ISO-8601 timestamp>\" }\n- \"every\": recurring interval\n { \"kind\": \"every\", \"everyMs\": <ms>, \"anchorMs\": <optional-ms> }\n- \"cron\": expr in supplied timezone, or Gateway host local timezone when tz omitted\n { \"kind\": \"cron\", \"expr\": \"<cron-expression>\", \"tz\": \"<optional-IANA-timezone>\" }\n Write expr in local wall-clock time; do not convert the requested local time to UTC first.\n tz omitted => Gateway host local timezone, not UTC.\n Example 6pm Shanghai daily: { \"kind\": \"cron\", \"expr\": \"0 18 * * *\", \"tz\": \"Asia/Shanghai\" }\n\nOptional trigger scripts poll headlessly on every/cron schedules and run the payload only when they return { fire: true }.\n\nFor \"at\", ISO timestamps without timezone are UTC.\n\nPAYLOAD TYPES (payload.kind):\n- \"systemEvent\": inject text as system event\n { \"kind\": \"systemEvent\", \"text\": \"<message>\" }\n- \"agentTurn\": run agent with prompt; isolated/current/session only\n { \"kind\": \"agentTurn\", \"message\": \"<prompt>\", \"model\": \"<optional>\", \"thinking\": \"<optional>\", \"timeoutSeconds\": <optional, 0=no timeout> }\n\nDELIVERY (top-level):\n { \"mode\": \"none|announce|webhook\", \"channel\": \"<optional>\", \"to\": \"<optional>\", \"threadId\": \"<optional>\", \"bestEffort\": <optional-bool> }\n - isolated agentTurn default when omitted: \"announce\"\n - announce: send to chat channel; isolated/current/session only; optional channel/to\n - threadId: chat thread/topic id\n - webhook: POST finished-run event to delivery.to URL\n - Specific chat/recipient: set announce delivery.channel/to; do not call messaging tools inside run.\n\nCRITICAL CONSTRAINTS:\n- sessionTarget=\"main\" REQUIRES payload.kind=\"systemEvent\"\n- sessionTarget=\"isolated\" | \"current\" | \"session:xxx\" REQUIRES payload.kind=\"agentTurn\"\n- Webhook: delivery.mode=\"webhook\" and delivery.to URL.\nDefault: prefer isolated agentTurn jobs unless the user explicitly wants current-session binding.\n\nRESTRICTED CRON RUNS:\n- Some isolated cron runs get narrow self-cleanup grant: status/list self-only, get/runs current job only, mutation only remove current job.\n\nWAKE MODES (for wake action):\n- \"next-heartbeat\" default: wake next heartbeat\n- \"now\": wake immediately\n\nUse jobId canonical; id accepted compat. contextMessages (0-10) adds previous messages as job context.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"includeDisabled":{"type":"boolean"},"job":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"additionalProperties":true},"jobId":{"type":"string"},"id":{"type":"string"},"patch":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"additionalProperties":true},"text":{"type":"string"},"mode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"runMode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Run mode for action=\"run\": omitted defaults to \"due\"; use \"force\" to trigger now."},"contextMessages":{"type":"integer","minimum":0,"maximum":10},"agentId":{"type":"string","description":"List filter for `action: \"list\"`; wake target override for `action: \"wake\"` (defaults to the calling agent when omitted on wake)"},"sessionKey":{"type":"string","description":"Wake target override for `action: \"wake\"`: route the event to another session owned by the calling agent. Defaults to the resolved calling-session key when omitted."}},"additionalProperties":true}},{"name":"edit","description":"Edit a single file using exact text replacement. Every edits[].oldText must match a unique, non-overlapping region of the original file. If two changes affect the same block or nearby lines, merge them into one edit instead of emitting overlapping edits. Do not include large unchanged regions just to connect distant changes.","parameters":{"type":"object","required":["path","edits"],"properties":{"path":{"type":"string","description":"Path to the file to edit (relative or absolute)"},"edits":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"One or more targeted replacements. Each edit is matched against the original file, not incrementally. Do not include overlapping or nested edits. If two changes touch the same block or nearby lines, merge them into one edit instead."}},"additionalProperties":false}},{"name":"exec","description":"Execute shell commands with background continuation for work that starts now. Use yieldMs/background to continue later via process tool. For long-running work started now, rely on automatic completion wake when it is enabled and the command emits output or fails; otherwise use process to confirm completion. Use process whenever you need logs, status, input, or intervention. Do not use exec sleep or delay loops for reminders or deferred follow-ups; use cron instead. Use pty=true for TTY-required commands (terminal UIs, coding agents).","parameters":{"type":"object","required":["command"],"properties":{"command":{"type":"string","description":"Shell command to execute"},"workdir":{"type":"string","description":"Working directory. Blank/whitespace values are invalid; omit to use the default cwd."},"env":{"type":"object","patternProperties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"yieldMs":{"type":"number","description":"Milliseconds to wait before backgrounding (default 10000)"},"background":{"type":"boolean","description":"Run in background immediately"},"timeout":{"type":"number","description":"Timeout in seconds (optional, kills process on expiry)"},"pty":{"type":"boolean","description":"Run in a pseudo-terminal (PTY) when available (TTY-required CLIs, coding agents)"},"elevated":{"type":"boolean","description":"Run on the host with elevated permissions (if allowed)"},"host":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Exec host/target (auto|sandbox|gateway|node)."},"security":{"type":"string","description":"Ignored for normal calls; exec security is set by tools.exec.security and host approvals."},"ask":{"type":"string","description":"Baseline ask comes from tools.exec.ask and host approvals; channel-origin calls ignore per-call ask when effective host ask is off."},"node":{"type":"string","description":"Node id/name for host=node."}}}},{"name":"gateway","description":"Gateway restart/config/update. Before config edits, use config.schema.lookup with targeted dot path. Prefer config.patch for partial merge; config.apply only full replace. For config.patch that intentionally removes array entries, pass replacePaths with the exact affected array path. Writes hot-reload or restart as needed. Always pass human `note` for post-restart delivery. If post-restart work must continue internally, pass one-shot `continuationMessage`; visible follow-up from that turn must use the message tool. Do not write restart sentinel files directly.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"delayMs":{"type":"integer","minimum":0},"reason":{"type":"string"},"continuationMessage":{"type":"string"},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"path":{"type":"string"},"raw":{"type":"string"},"baseHash":{"type":"string"},"replacePaths":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"maxItems":256},"sessionKey":{"type":"string"},"note":{"type":"string"},"restartDelayMs":{"type":"integer","minimum":0}}}},{"name":"get_goal","description":"Get the current goal for this thread, including status and token usage.","parameters":{"type":"object","properties":{}}},{"name":"image","description":"Analyze images with available vision model. Use image for one path/URL, images for max 20. Prompt says what to inspect.","parameters":{"type":"object","properties":{"prompt":{"type":"string"},"image":{"type":"string","description":"One image path/URL."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Image paths/URLs; maxImages default 20."},"model":{"type":"string"},"maxBytesMb":{"type":"number","exclusiveMinimum":0},"maxImages":{"type":"integer","minimum":1}}}},{"name":"image_generate","description":"Create/edit images. Session chats: background task; do not call image_generate again for same request; wait completion, then report through the current visible-reply contract with generated media attached using structured media fields. Transparent: outputFormat=\"png\" or \"webp\" + background=\"transparent\"; OpenAI also supports openai.background and routes default model to gpt-image-1.5. Use action=\"list\" for providers/models/readiness/auth, \"status\" for active task.","parameters":{"type":"object","properties":{"action":{"type":"string","description":"\"generate\" default, \"status\" active task, \"list\" providers/models."},"prompt":{"type":"string","description":"Image prompt."},"image":{"type":"string","description":"Reference image path/URL for edit."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference images for edit or style reference; max 14."},"model":{"type":"string","description":"Provider/model override, e.g. openai/gpt-image-2; transparent OpenAI: openai/gpt-image-1.5."},"filename":{"type":"string","description":"Output filename hint; basename preserved in managed media dir."},"size":{"type":"string","description":"Size hint: 1024x1024, 1536x1024, 1024x1536, 2048x2048, 3840x2160."},"aspectRatio":{"type":"string","description":"Aspect ratio: 1:1, 2:1, 20:9, 19.5:9, 2:3, 3:2, 2.35:1, 3:4, 4:3, 4:5, 5:4, 9:16, 9:19.5, 9:20, 16:9, 21:9, 1:2, 4:1, 1:4, 8:1, 1:8."},"resolution":{"type":"string","description":"Resolution: 1K, 2K, 4K; useful for Google."},"quality":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Quality: low, medium, high, auto."},"outputFormat":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Output format: png, jpeg, webp."},"background":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Background: transparent, opaque, auto. Transparent needs png/webp output."},"openai":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"fal":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"count":{"type":"integer","description":"Image count 1-4.","minimum":1,"maximum":4},"timeoutMs":{"type":"integer","description":"Provider timeout ms (300000 tends to be a safe amount).","minimum":1}}}},{"name":"memory_get","description":"Safe exact excerpt read from MEMORY.md or memory/*.md. Defaults to a bounded excerpt when lines are omitted, includes truncation/continuation info when more content exists, and `corpus=wiki` reads from registered compiled-wiki supplements.","parameters":{"type":"object","properties":{"path":{"type":"string"},"from":{"type":"integer","minimum":1},"lines":{"type":"integer","minimum":1},"corpus":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}},"required":["path"],"additionalProperties":false}},{"name":"memory_search","description":"Mandatory recall step: semantically search MEMORY.md + memory/*.md (and optional session transcripts) before answering questions about prior work, decisions, dates, people, preferences, or todos. Optional `corpus=wiki` or `corpus=all` also searches registered compiled-wiki supplements. `corpus=memory` restricts hits to indexed memory files (excludes session transcript chunks from ranking). `corpus=sessions` restricts hits to indexed session transcripts (same visibility rules as session history tools). If response has disabled=true, memory retrieval is unavailable and should be surfaced to the user.","parameters":{"type":"object","properties":{"query":{"type":"string"},"maxResults":{"type":"integer","minimum":1},"minScore":{"type":"number"},"corpus":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}},"required":["query"],"additionalProperties":false}},{"name":"message","description":"Send/delete/manage channel messages. Supports actions: send.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"channel":{"type":"string"},"target":{"type":"string","description":"Recipient/channel: E.164 for WhatsApp/Signal, Telegram chat id/@username, Discord/Slack/Mattermost <channelId|user:ID|channel:ID>, or iMessage handle/chat_id"},"targets":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"accountId":{"type":"string"},"dryRun":{"type":"boolean"},"message":{"type":"string"},"effectId":{"type":"string","description":"Effect id/name for sendWithEffect."},"effect":{"type":"string","description":"Alias for effectId."},"media":{"type":"string","description":"Media URL/path. data: use buffer."},"filename":{"type":"string"},"buffer":{"type":"string","description":"Base64 attachment payload; data URL ok."},"contentType":{"type":"string"},"mimeType":{"type":"string"},"caption":{"type":"string"},"attachments":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Structured attachments; each entry uses media."},"replyTo":{"type":"string"},"threadId":{"type":"string"},"asVoice":{"type":"boolean"},"silent":{"type":"boolean"},"quoteText":{"type":"string","description":"Telegram reply quote text."},"gifPlayback":{"type":"boolean"},"forceDocument":{"type":"boolean","description":"Send image/GIF/video as document; avoids compression."},"asDocument":{"type":"boolean","description":"Alias for forceDocument."},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1}}}},{"name":"node_inference","description":"Discover and run chat-capable Ollama models installed on paired desktop/server nodes. Use action=discover first, then action=run with a node and model from that result. Inference stays on the selected node.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"node":{"type":"string","description":"Connected node id or display name. Required when ambiguous."},"model":{"type":"string","description":"Exact local model name returned by discover."},"prompt":{"type":"string","description":"Prompt for action=run."},"system":{"type":"string","description":"Optional system prompt for action=run."},"temperature":{"type":"number","minimum":0,"maximum":2},"maxTokens":{"type":"integer","minimum":1,"maximum":8192},"timeoutMs":{"type":"integer","minimum":1,"maximum":600000}},"additionalProperties":false}},{"name":"nodes","description":"Discover/control paired nodes: status, describe, pairing, notify, camera/photos/screen/location/notifications/invoke. Use file_fetch for files.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"node":{"type":"string"},"requestId":{"type":"string"},"title":{"type":"string"},"body":{"type":"string"},"sound":{"type":"string"},"priority":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"delivery":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"facing":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"camera_snap: front/back/both; camera_clip: front/back only."},"maxWidth":{"type":"integer","minimum":1},"quality":{"type":"number","minimum":0,"maximum":1},"delayMs":{"type":"integer","minimum":0},"deviceId":{"type":"string"},"limit":{"type":"integer","minimum":1,"maximum":20},"duration":{"type":"string"},"durationMs":{"type":"integer","minimum":1,"maximum":300000},"includeAudio":{"type":"boolean"},"fps":{"type":"number","exclusiveMinimum":0},"screenIndex":{"type":"integer","minimum":0},"outPath":{"type":"string"},"maxAgeMs":{"type":"integer","minimum":0},"locationTimeoutMs":{"type":"integer","minimum":1},"desiredAccuracy":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"notificationAction":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"notificationKey":{"type":"string"},"notificationReplyText":{"type":"string"},"invokeCommand":{"type":"string"},"invokeParamsJson":{"type":"string"},"invokeTimeoutMs":{"type":"integer","minimum":1}}}},{"name":"pdf","description":"Analyze PDFs with model. Anthropic/Google native PDF when supported; else text/image extraction. Use pdf for one, pdfs for max 10; prompt says what to inspect.","parameters":{"type":"object","properties":{"prompt":{"type":"string"},"pdf":{"type":"string","description":"One PDF path/URL."},"pdfs":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"PDF paths/URLs; max 10."},"pages":{"type":"string","description":"Pages, e.g. \"1-5\", \"1,3,5-7\"; default all."},"model":{"type":"string"},"maxBytesMb":{"type":"number","exclusiveMinimum":0}}}},{"name":"process","description":"Manage running exec sessions for commands already started: list, poll, log, write, send-keys, submit, paste, kill. Use poll/log when you need status, logs, quiet-success confirmation, or completion confirmation when automatic completion wake is unavailable. Use poll/log also for input-wait hints. Use write/send-keys/submit/paste/kill for input or intervention. Do not use process polling to emulate timers or reminders; use cron for scheduled follow-ups.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","description":"Process action (list|poll|log|write|send-keys|submit|paste|kill|clear|remove)"},"sessionId":{"type":"string","description":"Session id for actions other than list"},"data":{"type":"string","description":"Data to write for write"},"keys":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Key tokens to send for send-keys"},"hex":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Hex bytes to send for send-keys"},"literal":{"type":"string","description":"Literal string for send-keys"},"text":{"type":"string","description":"Text to paste for paste"},"bracketed":{"type":"boolean","description":"Wrap paste in bracketed mode"},"eof":{"type":"boolean","description":"Close stdin after write"},"offset":{"type":"number","description":"Log offset"},"limit":{"type":"number","description":"Log length"},"timeout":{"type":"number","description":"For poll: wait up to this many milliseconds before returning; max 30000 ms, higher values are clamped to 30000","minimum":0}}}},{"name":"read","description":"Read the contents of a file. Supports text files and images (jpg, png, gif, webp, bmp). Images are sent as attachments. For text files, output is truncated to 2000 lines or 50KB (whichever is hit first). Use offset/limit for large files. When you need the full file, continue with offset until complete.","parameters":{"type":"object","required":["path"],"properties":{"path":{"type":"string","description":"Path to the file to read (relative or absolute)"},"offset":{"type":"number","description":"Line number to start reading from (1-indexed)"},"limit":{"type":"number","description":"Maximum number of lines to read"}}}},{"name":"session_status","description":"Show /status-like card for current/visible session: model, usage, time, cost, tasks. Use `sessionKey=\"current\"` for current session; UI labels like `openclaw-tui` are not keys. `model` sets session override; `model=default` resets. Use for active model/session config questions.","parameters":{"type":"object","properties":{"sessionKey":{"type":"string"},"model":{"type":"string"}}}},{"name":"sessions_history","description":"Fetch sanitized history for visible session. Use before replying, debugging, resuming; supports limit, offset pagination, and tool-message inclusion.","parameters":{"type":"object","required":["sessionKey"],"properties":{"sessionKey":{"type":"string"},"limit":{"type":"integer","minimum":1},"offset":{"type":"integer","minimum":0},"includeTools":{"type":"boolean"}}}},{"name":"sessions_list","description":"List visible sessions; filter by kind, label, agentId, search, activity, archive state. Use before sessions_history or sessions_send target selection.","parameters":{"type":"object","properties":{"kinds":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"limit":{"type":"integer","minimum":1},"activeMinutes":{"type":"integer","minimum":1},"messageLimit":{"type":"integer","minimum":0},"label":{"type":"string","minLength":1},"agentId":{"type":"string","minLength":1,"maxLength":64},"search":{"type":"string","minLength":1},"archived":{"type":"boolean"},"includeDerivedTitles":{"type":"boolean"},"includeLastMessage":{"type":"boolean"}}}},{"name":"sessions_send","description":"Send message to visible session by sessionKey/label, or configured agent by agentId; sessionKey wins when redundant label metadata is present. Thread-scoped chats rejected; target parent channel session. Creates missing configured-agent main session; waits for reply when available.","parameters":{"type":"object","required":["message"],"properties":{"sessionKey":{"type":"string"},"label":{"type":"string","minLength":1,"maxLength":512},"agentId":{"type":"string","minLength":1,"maxLength":64},"message":{"type":"string"},"timeoutSeconds":{"type":"integer","minimum":0}}}},{"name":"sessions_spawn","description":"Spawn clean child session; default `runtime=\"subagent\"`. `mode=\"run\"` one-shot background work. Subagents inherit parent workspace. Native subagents get task in first visible `[Subagent Task]` message. Native only: `context=\"fork\"` only when child needs current transcript; else omit or `isolated`. Use for fresh child-session work. Delegate sidecar/parallel tasks: batch file reads, multi-step searches, data collection. Avoid delegating quick lookups or single-file reads unless policy prefers delegation. After spawning, do non-overlapping work while run-mode results return.","parameters":{"type":"object","required":["task"],"properties":{"task":{"type":"string"},"taskName":{"type":"string","description":"Stable alias for later targeting; lowercase letters/digits/underscores/hyphens, starts letter."},"label":{"type":"string"},"runtime":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"agentId":{"type":"string"},"model":{"type":"string"},"thinking":{"type":"string"},"cwd":{"type":"string"},"mode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"cleanup":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"sandbox":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"context":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Native context. Omit/\"isolated\" for clean child; \"fork\" only when child needs requester transcript."},"lightContext":{"type":"boolean","description":"Light bootstrap context; runtime=\"subagent\" only."},"attachments":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"maxItems":50},"attachAs":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}}}},{"name":"sessions_yield","description":"End current turn. Use after spawning subagents; results arrive as next message.","parameters":{"type":"object","properties":{"message":{"type":"string"}}}},{"name":"skill_workshop","description":"Create, update, revise, list, inspect, apply, reject, or quarantine Skill Workshop proposals when reusable procedures should be captured, improved, or explicitly approved.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"create = new skill; update = existing live skill; revise = existing pending proposal; list/inspect discover pending proposals (not filesystem search); apply/reject/quarantine are explicit lifecycle actions."},"proposal_id":{"type":"string","description":"Existing proposal id for action=inspect, action=revise, action=apply, action=reject, or action=quarantine."},"name":{"type":"string","description":"Skill/proposal name. Required for create; for inspect/revise when proposal_id is unknown, resolves a pending proposal or returns candidates."},"query":{"type":"string","description":"Optional query for action=list."},"status":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Optional proposal status filter for action=list."},"limit":{"type":"integer","minimum":1,"maximum":50,"description":"Maximum proposals to return for action=list. Defaults to 20."},"description":{"type":"string","maxLength":160,"description":"Skill description for create/update/revise; max 160 bytes. On update, concise text shortens the proposal listing entry."},"skill_name":{"type":"string","description":"Existing skill name or key for action=update."},"proposal_content":{"type":"string","description":"Full proposed procedure markdown for action=create, action=update, or action=revise. It will be stored as PROPOSAL.md. Keep under configured skills.workshop.maxSkillBytes; default max is 40000 bytes."},"support_files":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Optional support files to store with the proposal."},"goal":{"type":"string","description":"Proposal or improvement goal."},"evidence":{"type":"string","description":"Short evidence or notes."},"reason":{"type":"string","description":"Optional reason for action=apply, action=reject, or action=quarantine."}},"additionalProperties":false}},{"name":"subagents","description":"List active and recent subagents for the requester session. If sessions_yield exists, use it for completion; do not poll wait loops.","parameters":{"type":"object","properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"recentMinutes":{"type":"integer","minimum":1}}}},{"name":"tts","description":"Use only for explicit audio intent (voice/speech/TTS) or active TTS config. Never use for ordinary text replies. Audio auto-delivered from tool result; after success follow reply instructions, no duplicate text/audio.","parameters":{"type":"object","required":["text"],"properties":{"text":{"type":"string","description":"Text to speak."},"channel":{"type":"string","description":"Channel id; output-format hint."},"timeoutMs":{"type":"integer","description":"Provider timeout ms.","minimum":1}}}},{"name":"update_goal","description":"Mark the current goal complete only when achieved, or blocked only after the same blocking condition recurs for at least three consecutive goal turns. Do not use blocked for ordinary difficulty or missing polish.","parameters":{"type":"object","required":["status"],"properties":{"status":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"complete | blocked."},"note":{"type":"string","description":"Short status note."}}}},{"name":"update_plan","description":"Update current run plan. Use for non-trivial multi-step work; keep plan current while executing. Short steps; max one `in_progress`; skip for simple one-step work.","parameters":{"type":"object","required":["plan"],"properties":{"explanation":{"type":"string","description":"Short note: what changed."},"plan":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"minItems":1,"description":"Ordered steps; max one in_progress."}}}},{"name":"video_generate","description":"Create videos. Session chats: background task; do not call video_generate again for same request; wait completion, then report through the current visible-reply contract with generated media attached using structured media fields. \"status\" checks active task. Duration may round to provider-supported value.","parameters":{"type":"object","properties":{"action":{"type":"string","description":"\"generate\" default, \"status\" active task, \"list\" providers/models."},"prompt":{"type":"string","description":"Video prompt."},"image":{"type":"string","description":"One reference image path/URL."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference images; max 9."},"imageRoles":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"`image` + `images` roles by index after de-dupe. Values: first_frame, last_frame, reference_image; empty string leaves unset."},"video":{"type":"string","description":"One reference video path/URL."},"videos":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference videos; max 4."},"videoRoles":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"`video` + `videos` roles by index after de-dupe. Value: reference_video; empty string leaves unset."},"model":{"type":"string","description":"Provider/model override, e.g. qwen/wan2.6-t2v."},"filename":{"type":"string","description":"Output filename hint; basename preserved in managed media dir."},"size":{"type":"string","description":"Size hint, e.g. 1280x720, 1920x1080."},"aspectRatio":{"type":"string","description":"Aspect ratio: 1:1, 16:9, 9:16, \"adaptive\", or provider value; unsupported normalized/ignored."},"resolution":{"type":"string","description":"Resolution: 360P, 480P, 540P, 720P, 768P, 1080P, 4K, or provider value; unsupported normalized/ignored."},"durationSeconds":{"type":"integer","description":"Target seconds; may round to nearest supported duration.","minimum":1},"audio":{"type":"boolean","description":"Generated-audio toggle."},"watermark":{"type":"boolean","description":"Watermark toggle."},"providerOptions":{"type":"object","patternProperties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Provider JSON options, e.g. {\"seed\":42}. Keys/types must match provider capabilities; mismatch skips candidate. Use action=list for accepted keys."},"timeoutMs":{"type":"integer","description":"Provider timeout ms.","minimum":1}}}},{"name":"write","description":"Write content to a file. Creates the file if it doesn't exist, overwrites if it does. Automatically creates parent directories.","parameters":{"type":"object","required":["path","content"],"properties":{"path":{"type":"string","description":"Path to the file to write (relative or absolute)"},"content":{"type":"string","description":"Content to write to the file"}}}}],"imagesCount":0,"streamStrategy":"boundary-aware:openai-completions","transport":"auto","transcriptLeafId":"34f7a715"}}
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{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","source":"runtime","type":"prompt.submitted","ts":"2026-07-15T10:04:30.128Z","seq":4,"sourceSeq":60,"sessionId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","sessionKey":"agent:main:dashboard:2fdf88e4-fa3f-46c2-b547-384e2c048b11","runId":"31a50ea4-daa6-44a6-b525-6e085ebd2335","workspaceDir":"/home/yangxuan/.openclaw/workspace","provider":"deepseek","modelId":"deepseek-v4-flash","modelApi":"openai-completions","data":{"prompt":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验\n-- 批量更新 dmp_smes.qc_task_inspect 的 create_time update_time中的日期部分为 对应insp_time","systemPrompt":{"truncated":true,"reason":"trajectory-field-size-limit","originalChars":39560,"limitChars":32768},"messages":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate \n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","timestamp":1784109538113,"idempotencyKey":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"},{"role":"user","content":"保留原时分秒，只改日期部分\nUPDATE dmp_spom.dmp_mrp_main_plan_task SET plan_start_time='2026-07-07 11:03:04',create_time='2026-07-07 10:58:04',update_time='2026-07-07 11:03:04' WHERE ecid='kanda' AND plan_no='PLAN2026071414255193535522';\n-- 物料计划主表\n-- 批量更新 dmp_spom.dmp_mrp_main_plan_task 的 create_time update_time中的日期部分为 对应的plan_start_time","timestamp":1784109596434,"idempotencyKey":"7c28a842-8a9f-4cc4-9094-1298d4ce1a5c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**物料计划主表 `dmp_mrp_main_plan_task`**，要把 `create_time` 和 `update_time` 的日期部分改为对应的 `plan_start_time`，保留原时分秒。\n\n## 更新脚本\n\n```sql\nUPDATE dmp_spom.dmp_mrp_main_plan_task\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'kanda';\n```\n\n范围条件？我看你前面说的是\"计划开始时间是7月份的数据\"，但 `plan_start_time` 看样例已经是 7 月份。你对范围有要求吗？比如：\n\n```sql\n-- 如果只要 plan_start_time 在7月份的数据\nAND plan_start_time >= '2026-07-01' AND plan_start_time < '2026-08-01'\n\n-- 或者只要 plan_start_time 日期和 create_time 日期不一致的（避免无意义更新）\nAND DATE(plan_start_time) != DATE(create_time)\n```\n\n需要加范围条件吗？还是直接全量更新 `ecid = 'kanda'` 的所有记录？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":1021,"output":340,"cacheRead":26880,"cacheWrite":0,"totalTokens":28241,"cost":{"input":0.001021,"output":0.0006799999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0017009999999999998}},"stopReason":"stop","timestamp":1784109597165,"responseId":"3546056a-f6d1-4805-b0d2-e4d5739d2293"},{"role":"user","content":"采购订单\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37' where ecid = 'hsjm' and order_no ='PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 16:10:47', update_time ='2026-01-12 16:10:47' where ecid = 'hsjm' and order_no ='PO2026000002';\n把 时间等于下单时间。\n-- 采购订单\n-- 批量更新 dmp_serp.dmp_mc_purchase_order 的 create_time update_time中的日期部分为 对应的order_date\n\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\n把 时间等于下单时间。\n\n-- 采购明细表\n-- 批量更新 dmp_serp.dmp_mc_purchase_order_detail 的 create_time update_time中的日期部分为 对应的order_date","timestamp":1784109736511,"idempotencyKey":"dea79fe3-9e82-4fcc-932b-78fe7ffb7ea2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，两个表一起处理，都是**采购订单**相关，用 `order_date` 作为日期源。\n\n## 采购订单主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购订单明细表\n\n明细表需要通过 `order_no` 和 `ecid` 关联主表获取 `order_date`：\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order_detail pd\nJOIN dmp_serp.dmp_mc_purchase_order po \n ON pd.ecid = po.ecid AND pd.order_no = po.order_no\nSET \n pd.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pd.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE pd.ecid = 'hsjm';\n```\n\n同样你提到的 **plan_arrival_date**——明细表里也有这个字段，看你样例里也在改它。但你的需求描述里只提了 `create_time` 和 `update_time`，`plan_arrival_date` 是否需要基于主表的 `plan_arrival_date` 同步更新？如果需要，可以加上：\n\n```sql\n-- 在明细表的 SET 中加上 plan_arrival_date 同步\n pd.plan_arrival_date = po.plan_arrival_date,\n```\n\n---\n\n汇总一下你到目前为止的更新清单：\n\n| 序号 | 表 | 日期源字段 |\n|------|-----|-----------|\n| 1 | `dmp_serp.dmp_om_order` | `om_orderdate` |\n| 2 | `dmp_serp.dmp_om_productinfo` | 关联主表 `om_orderdate` |\n| 3 | `dmp_spom.dmp_mrp_main_plan_task` | `plan_start_time` |\n| 4 | `dmp_serp.dmp_mc_purchase_order` | `order_date` |\n| 5 | `dmp_serp.dmp_mc_purchase_order_detail` | 关联主表 `order_date` |\n\n还有其他表要处理吗？一次性都帮你搞定 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":537,"output":666,"cacheRead":28160,"cacheWrite":0,"totalTokens":29363,"cost":{"input":0.0005369999999999999,"output":0.0013319999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0018689999999999998}},"stopReason":"stop","timestamp":1784109737239,"responseId":"4b7762d3-e202-4784-90ea-1934b8437ee9"},{"role":"user","content":"采购到货\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 14:59:11', update_time = '2026-01-22 14:59:11' where ecid = 'hsjm' and arrival_no = 'PAD2026000001';\n\n\n把 时间等于送货时间。\n-- 采购到货主表\n\n\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\n\n把 时间等于送货时间。\n-- 采购到货明细","timestamp":1784109773108,"idempotencyKey":"c1f0893e-59e7-4e66-8ebf-c96466a88991:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `ship_date`（送货时间/发货时间）。\n\n## 采购到货主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购到货明细表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival_detail ad\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON ad.ecid = a.ecid AND ad.arrival_no = a.arrival_no\nSET \n ad.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n ad.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ad.ecid = 'hsjm';\n```\n\n不过我看你的例子里，`ship_date` 和 `arrival_date` 都是 `'2026-01-22'`（同一天）。你说\"时间等于**送货时间**\"，那就是用 `ship_date` 作为日期源，没错吧？还是说你想用 `arrival_date`（到货时间）？\n\n---\n\n## 📋 完整更新清单（截至目前）\n\n| 序号 | 表 | 数据库 | 日期源字段 | 关联方式 |\n|------|-----|--------|-----------|---------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 直接更新 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate` | JOIN 主表 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 直接更新 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 直接更新 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date` | JOIN 主表 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 直接更新 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date` | JOIN 主表 |\n\n还继续有吗？一次性整完 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":427,"output":719,"cacheRead":29312,"cacheWrite":0,"totalTokens":30458,"cost":{"input":0.00042699999999999997,"output":0.001438,"cacheRead":0,"cacheWrite":0,"total":0.001865}},"stopReason":"stop","timestamp":1784109773806,"responseId":"8409c206-8436-4c31-93df-a6c9c78ea7a5"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验","timestamp":1784109808938,"idempotencyKey":"4b7a78ce-766c-439b-8784-ec9eef3f92ac:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**来料检验表**，需要关联**采购到货单**获取 `ship_date`。\n\n关联关系：`qc_task_inspect` 通过某个字段关联到采购到货单？我先看看常见关联方式——通常来料检验单会记录 `arrival_no`（到货单号）和 `ecid`。\n\n如果 `qc_task_inspect` 里有 `arrival_no` 字段，关联到 `dmp_mc_purchase_arrival`：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect qi\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON qi.ecid = a.ecid AND qi.arrival_no = a.arrival_no\nSET \n qi.insp_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.insp_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE qi.ecid = 'hsjm';\n```\n\n不过我需要确认一下——`qc_task_inspect` 里**关联采购到货单的字段名是什么**？常见的有：\n- `arrival_no` — 到货单号\n- `src_bill_no` — 来源单据号\n\n你能看看表结构确认一下关联字段吗？或者直接告诉我 `qc_task_inspect` 里哪个字段存的是到货单号就行。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":317,"output":444,"cacheRead":30336,"cacheWrite":0,"totalTokens":31097,"cost":{"input":0.000317,"output":0.000888,"cacheRead":0,"cacheWrite":0,"total":0.001205}},"stopReason":"stop","timestamp":1784109809545,"responseId":"a97cc980-d1b1-4640-9631-1a5bc07b2155"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验 只有主表","timestamp":1784109834801,"idempotencyKey":"1b1a78a5-b104-491c-8c1a-3388b55520a1:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"只有主表，没有关联明细。那 `qc_task_inspect` 直接用某个字段关联到采购到货单获取 `ship_date`。我需要先看看这个表里有什么关联字段。\n\n让我查一下表结构："},{"type":"toolCall","id":"call00zNFXflO9uvHF88gvemNV1946","name":"exec","arguments":{"command":"mysql -u root -p'YourPassword' -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null || echo \"NEED_PASSWORD\""},"partialArgs":"{\"command\": \"mysql -u root -p'YourPassword' -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null || echo \\\"NEED_PASSWORD\\\"\"}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":320,"output":127,"cacheRead":30976,"cacheWrite":0,"totalTokens":31423,"cost":{"input":0.00031999999999999997,"output":0.000254,"cacheRead":0,"cacheWrite":0,"total":0.000574}},"stopReason":"toolUse","timestamp":1784109835616,"responseId":"6d7b9ef4-7af8-4b71-a201-06dba58c46a8"},{"role":"toolResult","toolCallId":"call00zNFXflO9uvHF88gvemNV1946","toolName":"exec","content":[{"type":"text","text":"NEED_PASSWORD"}],"isError":false,"timestamp":1784109838817},{"role":"assistant","content":[{"type":"toolCall","id":"call00PIuYMg0px60fCGWCIhay2037","name":"exec","arguments":{"command":"mysql -u root -p -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null | head -50","timeout":10},"partialArgs":"{\"command\": \"mysql -u root -p -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null | head -50\", \"timeout\": 10}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":79,"output":90,"cacheRead":31360,"cacheWrite":0,"totalTokens":31529,"cost":{"input":0.000079,"output":0.00017999999999999998,"cacheRead":0,"cacheWrite":0,"total":0.000259}},"stopReason":"toolUse","timestamp":1784109838831,"responseId":"1ac67ea0-15ab-4d4d-8d1a-bec64bd8a1be"},{"role":"toolResult","toolCallId":"call00PIuYMg0px60fCGWCIhay2037","toolName":"exec","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1784109840424},{"role":"assistant","content":[{"type":"text","text":"没有直连数据库的权限，没关系。你看看 `qc_task_inspect` 表里有什么字段可以用来关联到采购到货单？比如：\n\n- `arrival_no`（到货单号）\n- `src_bill_no` / `source_no`（来源单号）\n- `order_no`（采购订单号）\n- 或者其它什么字段？\n\n你告诉我关联字段名，我就能直接写出完整的 SQL 了。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":55,"output":92,"cacheRead":31488,"cacheWrite":0,"totalTokens":31635,"cost":{"input":0.000054999999999999995,"output":0.000184,"cacheRead":0,"cacheWrite":0,"total":0.000239}},"stopReason":"stop","timestamp":1784109840437,"responseId":"e2a7cf1e-c246-4d51-b8a5-498bd181dfce"}],"imagesCount":0}}
|
||
{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","source":"runtime","type":"model.completed","ts":"2026-07-15T10:04:33.910Z","seq":5,"sourceSeq":61,"sessionId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","sessionKey":"agent:main:dashboard:2fdf88e4-fa3f-46c2-b547-384e2c048b11","runId":"31a50ea4-daa6-44a6-b525-6e085ebd2335","workspaceDir":"/home/yangxuan/.openclaw/workspace","provider":"deepseek","modelId":"deepseek-v4-flash","modelApi":"openai-completions","data":{"aborted":false,"externalAbort":false,"timedOut":false,"idleTimedOut":false,"timedOutDuringCompaction":false,"timedOutDuringToolExecution":false,"timedOutByRunBudget":false,"promptErrorSource":null,"usage":{"input":242,"output":471,"cacheRead":31616,"total":32329},"promptCache":{"lastCallUsage":{"input":242,"output":471,"cacheRead":31616,"cacheWrite":0,"total":32329},"lastCacheTouchAt":1784109870180},"compactionCount":0,"assistantTexts":["啊，看明白了！你的意思是 **直接用 `insp_time` 作为日期源**，不需要关联到货单：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单汇总\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|--------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 否 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（关联主表） | 是 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 否 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 否 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（关联主表） | 是 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 否 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（关联主表） | 是 |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | 否 |\n\n还有要处理的表吗？一起搞定 ✅"],"finalPromptText":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验\n-- 批量更新 dmp_smes.qc_task_inspect 的 create_time update_time中的日期部分为 对应insp_time","messagesSnapshot":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate \n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","timestamp":1784109538113,"idempotencyKey":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"},{"role":"user","content":"保留原时分秒，只改日期部分\nUPDATE dmp_spom.dmp_mrp_main_plan_task SET plan_start_time='2026-07-07 11:03:04',create_time='2026-07-07 10:58:04',update_time='2026-07-07 11:03:04' WHERE ecid='kanda' AND plan_no='PLAN2026071414255193535522';\n-- 物料计划主表\n-- 批量更新 dmp_spom.dmp_mrp_main_plan_task 的 create_time update_time中的日期部分为 对应的plan_start_time","timestamp":1784109596434,"idempotencyKey":"7c28a842-8a9f-4cc4-9094-1298d4ce1a5c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**物料计划主表 `dmp_mrp_main_plan_task`**，要把 `create_time` 和 `update_time` 的日期部分改为对应的 `plan_start_time`，保留原时分秒。\n\n## 更新脚本\n\n```sql\nUPDATE dmp_spom.dmp_mrp_main_plan_task\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'kanda';\n```\n\n范围条件？我看你前面说的是\"计划开始时间是7月份的数据\"，但 `plan_start_time` 看样例已经是 7 月份。你对范围有要求吗？比如：\n\n```sql\n-- 如果只要 plan_start_time 在7月份的数据\nAND plan_start_time >= '2026-07-01' AND plan_start_time < '2026-08-01'\n\n-- 或者只要 plan_start_time 日期和 create_time 日期不一致的（避免无意义更新）\nAND DATE(plan_start_time) != DATE(create_time)\n```\n\n需要加范围条件吗？还是直接全量更新 `ecid = 'kanda'` 的所有记录？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":1021,"output":340,"cacheRead":26880,"cacheWrite":0,"totalTokens":28241,"cost":{"input":0.001021,"output":0.0006799999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0017009999999999998}},"stopReason":"stop","timestamp":1784109597165,"responseId":"3546056a-f6d1-4805-b0d2-e4d5739d2293"},{"role":"user","content":"采购订单\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37' where ecid = 'hsjm' and order_no ='PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 16:10:47', update_time ='2026-01-12 16:10:47' where ecid = 'hsjm' and order_no ='PO2026000002';\n把 时间等于下单时间。\n-- 采购订单\n-- 批量更新 dmp_serp.dmp_mc_purchase_order 的 create_time update_time中的日期部分为 对应的order_date\n\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\n把 时间等于下单时间。\n\n-- 采购明细表\n-- 批量更新 dmp_serp.dmp_mc_purchase_order_detail 的 create_time update_time中的日期部分为 对应的order_date","timestamp":1784109736511,"idempotencyKey":"dea79fe3-9e82-4fcc-932b-78fe7ffb7ea2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，两个表一起处理，都是**采购订单**相关，用 `order_date` 作为日期源。\n\n## 采购订单主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购订单明细表\n\n明细表需要通过 `order_no` 和 `ecid` 关联主表获取 `order_date`：\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order_detail pd\nJOIN dmp_serp.dmp_mc_purchase_order po \n ON pd.ecid = po.ecid AND pd.order_no = po.order_no\nSET \n pd.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pd.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE pd.ecid = 'hsjm';\n```\n\n同样你提到的 **plan_arrival_date**——明细表里也有这个字段，看你样例里也在改它。但你的需求描述里只提了 `create_time` 和 `update_time`，`plan_arrival_date` 是否需要基于主表的 `plan_arrival_date` 同步更新？如果需要，可以加上：\n\n```sql\n-- 在明细表的 SET 中加上 plan_arrival_date 同步\n pd.plan_arrival_date = po.plan_arrival_date,\n```\n\n---\n\n汇总一下你到目前为止的更新清单：\n\n| 序号 | 表 | 日期源字段 |\n|------|-----|-----------|\n| 1 | `dmp_serp.dmp_om_order` | `om_orderdate` |\n| 2 | `dmp_serp.dmp_om_productinfo` | 关联主表 `om_orderdate` |\n| 3 | `dmp_spom.dmp_mrp_main_plan_task` | `plan_start_time` |\n| 4 | `dmp_serp.dmp_mc_purchase_order` | `order_date` |\n| 5 | `dmp_serp.dmp_mc_purchase_order_detail` | 关联主表 `order_date` |\n\n还有其他表要处理吗？一次性都帮你搞定 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":537,"output":666,"cacheRead":28160,"cacheWrite":0,"totalTokens":29363,"cost":{"input":0.0005369999999999999,"output":0.0013319999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0018689999999999998}},"stopReason":"stop","timestamp":1784109737239,"responseId":"4b7762d3-e202-4784-90ea-1934b8437ee9"},{"role":"user","content":"采购到货\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 14:59:11', update_time = '2026-01-22 14:59:11' where ecid = 'hsjm' and arrival_no = 'PAD2026000001';\n\n\n把 时间等于送货时间。\n-- 采购到货主表\n\n\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\n\n把 时间等于送货时间。\n-- 采购到货明细","timestamp":1784109773108,"idempotencyKey":"c1f0893e-59e7-4e66-8ebf-c96466a88991:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `ship_date`（送货时间/发货时间）。\n\n## 采购到货主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购到货明细表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival_detail ad\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON ad.ecid = a.ecid AND ad.arrival_no = a.arrival_no\nSET \n ad.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n ad.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ad.ecid = 'hsjm';\n```\n\n不过我看你的例子里，`ship_date` 和 `arrival_date` 都是 `'2026-01-22'`（同一天）。你说\"时间等于**送货时间**\"，那就是用 `ship_date` 作为日期源，没错吧？还是说你想用 `arrival_date`（到货时间）？\n\n---\n\n## 📋 完整更新清单（截至目前）\n\n| 序号 | 表 | 数据库 | 日期源字段 | 关联方式 |\n|------|-----|--------|-----------|---------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 直接更新 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate` | JOIN 主表 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 直接更新 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 直接更新 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date` | JOIN 主表 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 直接更新 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date` | JOIN 主表 |\n\n还继续有吗？一次性整完 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":427,"output":719,"cacheRead":29312,"cacheWrite":0,"totalTokens":30458,"cost":{"input":0.00042699999999999997,"output":0.001438,"cacheRead":0,"cacheWrite":0,"total":0.001865}},"stopReason":"stop","timestamp":1784109773806,"responseId":"8409c206-8436-4c31-93df-a6c9c78ea7a5"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验","timestamp":1784109808938,"idempotencyKey":"4b7a78ce-766c-439b-8784-ec9eef3f92ac:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**来料检验表**，需要关联**采购到货单**获取 `ship_date`。\n\n关联关系：`qc_task_inspect` 通过某个字段关联到采购到货单？我先看看常见关联方式——通常来料检验单会记录 `arrival_no`（到货单号）和 `ecid`。\n\n如果 `qc_task_inspect` 里有 `arrival_no` 字段，关联到 `dmp_mc_purchase_arrival`：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect qi\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON qi.ecid = a.ecid AND qi.arrival_no = a.arrival_no\nSET \n qi.insp_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.insp_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE qi.ecid = 'hsjm';\n```\n\n不过我需要确认一下——`qc_task_inspect` 里**关联采购到货单的字段名是什么**？常见的有：\n- `arrival_no` — 到货单号\n- `src_bill_no` — 来源单据号\n\n你能看看表结构确认一下关联字段吗？或者直接告诉我 `qc_task_inspect` 里哪个字段存的是到货单号就行。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":317,"output":444,"cacheRead":30336,"cacheWrite":0,"totalTokens":31097,"cost":{"input":0.000317,"output":0.000888,"cacheRead":0,"cacheWrite":0,"total":0.001205}},"stopReason":"stop","timestamp":1784109809545,"responseId":"a97cc980-d1b1-4640-9631-1a5bc07b2155"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验 只有主表","timestamp":1784109834801,"idempotencyKey":"1b1a78a5-b104-491c-8c1a-3388b55520a1:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"只有主表，没有关联明细。那 `qc_task_inspect` 直接用某个字段关联到采购到货单获取 `ship_date`。我需要先看看这个表里有什么关联字段。\n\n让我查一下表结构："},{"type":"toolCall","id":"call00zNFXflO9uvHF88gvemNV1946","name":"exec","arguments":{"command":"mysql -u root -p'YourPassword' -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null || echo \"NEED_PASSWORD\""},"partialArgs":"{\"command\": \"mysql -u root -p'YourPassword' -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null || echo \\\"NEED_PASSWORD\\\"\"}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":320,"output":127,"cacheRead":30976,"cacheWrite":0,"totalTokens":31423,"cost":{"input":0.00031999999999999997,"output":0.000254,"cacheRead":0,"cacheWrite":0,"total":0.000574}},"stopReason":"toolUse","timestamp":1784109835616,"responseId":"6d7b9ef4-7af8-4b71-a201-06dba58c46a8"},{"role":"toolResult","toolCallId":"call00zNFXflO9uvHF88gvemNV1946","toolName":"exec","content":[{"type":"text","text":"NEED_PASSWORD"}],"isError":false,"timestamp":1784109838817},{"role":"assistant","content":[{"type":"toolCall","id":"call00PIuYMg0px60fCGWCIhay2037","name":"exec","arguments":{"command":"mysql -u root -p -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null | head -50","timeout":10},"partialArgs":"{\"command\": \"mysql -u root -p -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null | head -50\", \"timeout\": 10}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":79,"output":90,"cacheRead":31360,"cacheWrite":0,"totalTokens":31529,"cost":{"input":0.000079,"output":0.00017999999999999998,"cacheRead":0,"cacheWrite":0,"total":0.000259}},"stopReason":"toolUse","timestamp":1784109838831,"responseId":"1ac67ea0-15ab-4d4d-8d1a-bec64bd8a1be"},{"role":"toolResult","toolCallId":"call00PIuYMg0px60fCGWCIhay2037","toolName":"exec","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1784109840424},{"role":"assistant","content":[{"type":"text","text":"没有直连数据库的权限，没关系。你看看 `qc_task_inspect` 表里有什么字段可以用来关联到采购到货单？比如：\n\n- `arrival_no`（到货单号）\n- `src_bill_no` / `source_no`（来源单号）\n- `order_no`（采购订单号）\n- 或者其它什么字段？\n\n你告诉我关联字段名，我就能直接写出完整的 SQL 了。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":55,"output":92,"cacheRead":31488,"cacheWrite":0,"totalTokens":31635,"cost":{"input":0.000054999999999999995,"output":0.000184,"cacheRead":0,"cacheWrite":0,"total":0.000239}},"stopReason":"stop","timestamp":1784109840437,"responseId":"e2a7cf1e-c246-4d51-b8a5-498bd181dfce"},{"role":"user","content":[{"type":"text","text":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验\n-- 批量更新 dmp_smes.qc_task_inspect 的 create_time update_time中的日期部分为 对应insp_time"}],"timestamp":1784109870137},{"role":"assistant","content":[{"type":"text","text":"啊，看明白了！你的意思是 **直接用 `insp_time` 作为日期源**，不需要关联到货单：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单汇总\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|--------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 否 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（关联主表） | 是 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 否 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 否 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（关联主表） | 是 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 否 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（关联主表） | 是 |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | 否 |\n\n还有要处理的表吗？一起搞定 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":242,"output":471,"cacheRead":31616,"cacheWrite":0,"totalTokens":32329,"cost":{"input":0.000242,"output":0.0009419999999999999,"cacheRead":0,"cacheWrite":0,"total":0.001184}},"stopReason":"stop","timestamp":1784109870180,"responseId":"0bddd8b3-54ef-4280-b497-c5f6e7c4c117"}]}}
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Use when editing or reviewing\ntext to make it sound more natural and human-written. Based on Wikipedia's\ncomprehensive \"Signs of AI writing\" guide. Detects and fixes patterns including:\ninflated symbolism, promotional language, superficial -ing analyses, vague\nattributions, em dash overuse, rule of three, AI vocabulary words, negative\nparallelisms, and excessive conjunctive phrases.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"imap-smtp-email","name":"imap-smtp-email","description":"Read and send email via IMAP/SMTP. Check for new/unread messages, fetch content, search mailboxes, mark as read/unread, and send emails with attachments. Supports multiple accounts. Works with any IMAP/SMTP server including Gmail, Outlook, 163.com, vip.163.com, 126.com, vip.126.com, 188.com, and vip.188.com.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"meme-maker","name":"meme-maker","description":"Search meme templates, suggest formats, and generate local or hosted image memes.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"multi-search-engine","name":"multi-search-engine","description":"Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"MySQL","name":"MySQL","description":"Write correct MySQL queries with proper character sets, indexing, transactions, and production patterns.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"news-summary","name":"news-summary","description":"This skill should be used when the user asks for news updates, daily briefings, or what's happening in the world. Fetches news from trusted international RSS feeds and can create voice summaries.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"node-connect","name":"node-connect","description":"Diagnose OpenClaw Android, iOS, or macOS node pairing, QR/setup code, route, auth, and connection failures.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"node-inspect-debugger","name":"node-inspect-debugger","description":"Debug Node.js with node inspect, --inspect, breakpoints, CDP, heap, and CPU profiles.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"obsidian-official-cli","name":"obsidian-official-cli","description":"Work with Obsidian vaults using the official Obsidian CLI (v1.12+). Open, search, create, move, and manage notes from the terminal. Use when working with Obsidian vaults for note management, file operations, searching content, managing tasks, properties, links, plugins, themes, sync operations, or any command-line interaction with Obsidian.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"opencode-controller","name":"opencode-controller","description":"Control and operate Opencode via slash commands. Use this skill to manage sessions, select models, switch agents (plan/build), and coordinate coding through Opencode.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"openspec","name":"openspec","description":"Spec-driven development with OpenSpec CLI. Use when building features, migrations, refactors, or any structured development work. Manages proposal → specs → design → tasks → implementation workflows. Supports custom schemas (TDD, rapid, etc.). Trigger on requests involving feature planning, spec writing, change management, or when /opsx commands are mentioned.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/openspec/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/openspec","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/openspec","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/openspec/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"python-debugpy","name":"python-debugpy","description":"Debug Python with pdb, breakpoint(), post-mortem inspection, and debugpy remote attach.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"qiushi-openclaw-skills","name":"qiushi-openclaw-skills","description":"求是 OpenClaw Skills 是基于毛泽东思想方法论的 AI Agent 技能集合，按照 OpenClaw 技能格式进行改造，旨在为 AI 提供系统化的思考和行动框架。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"requirements-analyst","name":"requirements-analyst","description":"将产品需求转化为前后端可执行的技术规范，输出离线性优先的结构化文档。当用户提出产品需求、PRD、功能描述或模糊想法时自动触发。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"rss-ai-reader","name":"rss-ai-reader","description":"📰 RSS AI 阅读器 — 自动抓取订阅、LLM生成摘要、多渠道推送！\n支持 Claude/OpenAI 生成中文摘要，推送到飞书/Telegram/Email。\n触发条件: 用户要求订阅RSS、监控博客、抓取新闻、生成摘要、设置定时抓取、\n\"帮我订阅\"、\"监控这个网站\"、\"每天推送新闻\"、RSS/Atom feed 相关。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"skill-creator","name":"skill-creator","description":"Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"spike","name":"spike","description":"Run throwaway prototypes to validate feasibility, compare approaches, and report a verdict.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"Spreadsheet & Data Wrangling Master","name":"Spreadsheet & Data Wrangling Master","description":"Complete spreadsheet methodology — data cleanup, transformation, analysis, dashboards, automation, and reporting. Works with CSV, Excel, Google Sheets, or any tabular data. Use when the user needs to clean messy data, build reports, create dashboards, automate recurring spreadsheet tasks, or transform data between formats.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"sql-toolkit","name":"sql-toolkit","description":"Query, design, migrate, and optimize SQL databases. Use when working with SQLite, PostgreSQL, or MySQL — schema design, writing queries, creating migrations, indexing, backup/restore, and debugging slow queries. No ORMs required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"taskflow","name":"taskflow","description":"Coordinate multi-step detached tasks as one durable TaskFlow job with owner context, state, waits, and child tasks.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"taskflow-inbox-triage","name":"taskflow-inbox-triage","description":"Example TaskFlow pattern for inbox triage, intent routing, waiting on replies, and later summaries.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"using-superpowers","name":"using-superpowers","description":"Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"weather","name":"weather","description":"Get current weather and forecasts (no API key required).","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/weather/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/weather","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/weather","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/weather/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"web-search","name":"web-search","description":"This skill should be used when users need to search the web for information, find current content, look up news articles, search for images, or find videos. It uses a self-hosted SearXNG instance to return results in clean, formatted output (text, markdown, or JSON). Use for research, fact-checking, finding recent information, or gathering web resources.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/web-search/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/web-search","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/web-search","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/web-search/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true}]},"prompting":{"skillsPrompt":"\n\nThe following skills provide specialized instructions for specific tasks.\nUse the read tool to load a skill's file when the task matches its description.\nIf a skill's <version> differs from a previous turn, re-read its SKILL.md before using it.\nWhen a skill file references a relative path, resolve it against the skill directory (parent of SKILL.md / dirname of the path) and use that absolute path in tool commands.\n\n<available_skills>\n <skill>\n <name>agent-browser</name>\n <description>Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection</description>\n <location>~/.openclaw/workspace/skills/agent-browser-clawdbot/SKILL.md</location>\n <version>sha256:9643b9c65476eedd</version>\n </skill>\n <skill>\n <name>chinese-calendar</name>\n <description>获取中国日历信息，包括节假日、调休安排、工作日判断。使用 timor.tech API，数据每年自动更新。Use when: 需要判断某天是否是工作日、查询节假日安排、了解调休情况。</description>\n <location>~/.openclaw/workspace/skills/chinese-calendar/SKILL.md</location>\n <version>sha256:40a9ba942647e641</version>\n </skill>\n <skill>\n <name>clawhub</name>\n <description>Search ClawHub for skills when a requested capability is not already available; install, verify, update, publish, or sync skills.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/clawhub/SKILL.md</location>\n <version>sha256:6bb70d95cbd1a545</version>\n </skill>\n <skill>\n <name>Code</name>\n <description>Coding workflow with planning, implementation, verification, and testing for clean software development.</description>\n <location>~/.openclaw/workspace/skills/openclaw-code/SKILL.md</location>\n <version>sha256:f09694134cc55cc0</version>\n </skill>\n <skill>\n <name>database-admin</name>\n <description>Comprehensive database administration, schema management, data operations, and optimization. Use when Codex needs to: (1) Create or modify database tables with proper indexing, (2) Perform bulk data insertions with type safety and constraint handling, (3) Execute complex queries with JOINs, aggregations, and subqueries, (4) Optimize query performance through indexing and execution plan analysis, (5) Manage database backups, restores, and migrations, (6) Handle special data types (BIGINT, UUID, JSONB, enums), (7) Implement transactional safety with ACID compliance, or (8) Debug and resolve database errors including constraint violations, type mismatches, and foreign key issues</description>\n <location>~/.openclaw/workspace/skills/database-admin/SKILL.md</location>\n <version>sha256:7649e43727f2fb8b</version>\n </skill>\n <skill>\n <name>database-schema-designer</name>\n <description>Database Schema Designer</description>\n <location>~/.openclaw/workspace/skills/database-schema-designer/SKILL.md</location>\n <version>sha256:3f2282ec8135dfdf</version>\n </skill>\n <skill>\n <name>db-query</name>\n <description>Query project databases with automatic SSH tunnel management. Use when you need to execute SQL queries against configured databases, especially those accessible only via SSH tunnels. Automatically manages SSH connection lifecycle (establishes tunnel before query, closes after). Supports multiple databases distinguished by description/name from config file.</description>\n <location>~/.openclaw/workspace/skills/db-query/SKILL.md</location>\n <version>sha256:eaffe1e617f2b8f2</version>\n </skill>\n <skill>\n <name>db-schema</name>\n <description>Generate database schemas, migrations, and ERD diagrams from plain English descriptions — supports PostgreSQL, MySQL, SQLite, and MongoDB with proper indexes and constraints.</description>\n <location>~/.openclaw/workspace/skills/db-schema-gen/SKILL.md</location>\n <version>sha256:c511ce8bb306f227</version>\n </skill>\n <skill>\n <name>deep-research-pro</name>\n <description>Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.</description>\n <location>~/.openclaw/workspace/skills/deep-research-pro/SKILL.md</location>\n <version>sha256:a780f8bbec442198</version>\n </skill>\n <skill>\n <name>diagram-maker</name>\n <description>Create SVG/HTML or Excalidraw diagrams for concepts, architecture, flows, and whiteboards.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker/SKILL.md</location>\n <version>sha256:6195e03fcb04a1a6</version>\n </skill>\n <skill>\n <name>dingtalk-channel-rules</name>\n <description>钉钉会话输出规则。在钉钉会话中始终生效。</description>\n <location>~/.openclaw/plugin-skills/dingtalk-channel-rules/SKILL.md</location>\n <version>sha256:4abd7ff39fd8ab23</version>\n </skill>\n <skill>\n <name>dingtalk-troubleshoot</name>\n <description>钉钉连接器问题排查。包含 dws CLI 常见错误处理、授权问题排查和连接故障诊断。\n当 dws 命令执行失败、授权异常、连接中断时自动激活。</description>\n <location>~/.openclaw/plugin-skills/dingtalk-troubleshoot/SKILL.md</location>\n <version>sha256:831e1260e77bcf9b</version>\n </skill>\n <skill>\n <name>docker-essentials</name>\n <description>Essential Docker commands and workflows for container management, image operations, and debugging.</description>\n <location>~/.openclaw/workspace/skills/docker-essentials/SKILL.md</location>\n <version>sha256:bf8120febd5275b0</version>\n </skill>\n <skill>\n <name>dws</name>\n <description>管理钉钉产品能力(AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/开放平台文档/钉钉文档/钉钉云盘/AI听记/邮箱/在线电子表格/知识库等)。当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报（钉钉日志模版）、读写钉钉文档、上传下载云盘文件、查询听记纪要、收发邮件、读写在线电子表格(axls)、管理钉钉知识库时使用。</description>\n <location>~/.openclaw/skills/dws/SKILL.md</location>\n <version>sha256:25f131a2e41eeeca</version>\n </skill>\n <skill>\n <name>dws-cli</name>\n <description>在钉钉会话中通过 dws CLI 管理钉钉产品能力（AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/工作台等）。\n当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报时使用。</description>\n <location>~/.openclaw/plugin-skills/dws-cli/SKILL.md</location>\n <version>sha256:e1e0cb89e56c9a8d</version>\n </skill>\n <skill>\n <name>healthcheck</name>\n <description>Audit/harden OpenClaw hosts: SSH, firewall, updates, exposure, backups, disk encryption, gateway security.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck/SKILL.md</location>\n <version>sha256:518ec6e0482cf1c7</version>\n </skill>\n <skill>\n <name>humanizer</name>\n <description>Remove signs of AI-generated writing from text. Use when editing or reviewing\ntext to make it sound more natural and human-written. Based on Wikipedia's\ncomprehensive "Signs of AI writing" guide. Detects and fixes patterns including:\ninflated symbolism, promotional language, superficial -ing analyses, vague\nattributions, em dash overuse, rule of three, AI vocabulary words, negative\nparallelisms, and excessive conjunctive phrases.</description>\n <location>~/.openclaw/workspace/skills/humanizer/SKILL.md</location>\n <version>sha256:d7ce483d368e4301</version>\n </skill>\n <skill>\n <name>imap-smtp-email</name>\n <description>Read and send email via IMAP/SMTP. Check for new/unread messages, fetch content, search mailboxes, mark as read/unread, and send emails with attachments. Supports multiple accounts. Works with any IMAP/SMTP server including Gmail, Outlook, 163.com, vip.163.com, 126.com, vip.126.com, 188.com, and vip.188.com.</description>\n <location>~/.openclaw/workspace/skills/imap-smtp-email/SKILL.md</location>\n <version>sha256:01345a894f2863a4</version>\n </skill>\n <skill>\n <name>meme-maker</name>\n <description>Search meme templates, suggest formats, and generate local or hosted image memes.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md</location>\n <version>sha256:8b8832f9f0f58b16</version>\n </skill>\n <skill>\n <name>multi-search-engine</name>\n <description>Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required.</description>\n <location>~/.openclaw/workspace/skills/multi-search-engine/SKILL.md</location>\n <version>sha256:ef2d2706e82ad0fc</version>\n </skill>\n <skill>\n <name>MySQL</name>\n <description>Write correct MySQL queries with proper character sets, indexing, transactions, and production patterns.</description>\n <location>~/.openclaw/workspace/skills/MySQL/SKILL.md</location>\n <version>sha256:97003e1d9502f459</version>\n </skill>\n <skill>\n <name>news-summary</name>\n <description>This skill should be used when the user asks for news updates, daily briefings, or what's happening in the world. Fetches news from trusted international RSS feeds and can create voice summaries.</description>\n <location>~/.openclaw/workspace/skills/news-summary/SKILL.md</location>\n <version>sha256:1b4c45b56f567567</version>\n </skill>\n <skill>\n <name>node-connect</name>\n <description>Diagnose OpenClaw Android, iOS, or macOS node pairing, QR/setup code, route, auth, and connection failures.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md</location>\n <version>sha256:cc39026fd84e5cfa</version>\n </skill>\n <skill>\n <name>node-inspect-debugger</name>\n <description>Debug Node.js with node inspect, --inspect, breakpoints, CDP, heap, and CPU profiles.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md</location>\n <version>sha256:50d2f6828eaf4bbf</version>\n </skill>\n <skill>\n <name>obsidian-official-cli</name>\n <description>Work with Obsidian vaults using the official Obsidian CLI (v1.12+). Open, search, create, move, and manage notes from the terminal. Use when working with Obsidian vaults for note management, file operations, searching content, managing tasks, properties, links, plugins, themes, sync operations, or any command-line interaction with Obsidian.</description>\n <location>~/.openclaw/workspace/skills/obsidian-official-cli/SKILL.md</location>\n <version>sha256:d9c66873957818a1</version>\n </skill>\n <skill>\n <name>opencode-controller</name>\n <description>Control and operate Opencode via slash commands. Use this skill to manage sessions, select models, switch agents (plan/build), and coordinate coding through Opencode.</description>\n <location>~/.openclaw/workspace/skills/opencode-controller/SKILL.md</location>\n <version>sha256:6535df08ba8b0bbc</version>\n </skill>\n <skill>\n <name>openspec</name>\n <description>Spec-driven development with OpenSpec CLI. Use when building features, migrations, refactors, or any structured development work. Manages proposal → specs → design → tasks → implementation workflows. Supports custom schemas (TDD, rapid, etc.). Trigger on requests involving feature planning, spec writing, change management, or when /opsx commands are mentioned.</description>\n <location>~/.openclaw/workspace/skills/openspec/SKILL.md</location>\n <version>sha256:720f832d1879e281</version>\n </skill>\n <skill>\n <name>python-debugpy</name>\n <description>Debug Python with pdb, breakpoint(), post-mortem inspection, and debugpy remote attach.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md</location>\n <version>sha256:bfb1891204b67260</version>\n </skill>\n <skill>\n <name>qiushi-openclaw-skills</name>\n <description>求是 OpenClaw Skills 是基于毛泽东思想方法论的 AI Agent 技能集合，按照 OpenClaw 技能格式进行改造，旨在为 AI 提供系统化的思考和行动框架。</description>\n <location>~/.openclaw/workspace/skills/qiushi-openclaw-skill/SKILL.md</location>\n <version>sha256:b21d933b7f61584d</version>\n </skill>\n <skill>\n <name>requirements-analyst</name>\n <description>将产品需求转化为前后端可执行的技术规范，输出离线性优先的结构化文档。当用户提出产品需求、PRD、功能描述或模糊想法时自动触发。</description>\n <location>~/.openclaw/workspace/skills/requirements-analyst/SKILL.md</location>\n <version>sha256:f766e6b7b585e7e8</version>\n </skill>\n <skill>\n <name>rss-ai-reader</name>\n <description>📰 RSS AI 阅读器 — 自动抓取订阅、LLM生成摘要、多渠道推送！\n支持 Claude/OpenAI 生成中文摘要，推送到飞书/Telegram/Email。\n触发条件: 用户要求订阅RSS、监控博客、抓取新闻、生成摘要、设置定时抓取、\n"帮我订阅"、"监控这个网站"、"每天推送新闻"、RSS/Atom feed 相关。</description>\n <location>~/.openclaw/workspace/skills/rss-ai-reader/SKILL.md</location>\n <version>sha256:0abcc8438f644cdb</version>\n </skill>\n <skill>\n <name>skill-creator</name>\n <description>Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md</location>\n <version>sha256:d15b25d332d835eb</version>\n </skill>\n <skill>\n <name>spike</name>\n <description>Run throwaway prototypes to validate feasibility, compare approaches, and report a verdict.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md</location>\n <version>sha256:1258cde2d0e53267</version>\n </skill>\n <skill>\n <name>Spreadsheet & Data Wrangling Master</name>\n <description>Complete spreadsheet methodology — data cleanup, transformation, analysis, dashboards, automation, and reporting. Works with CSV, Excel, Google Sheets, or any tabular data. Use when the user needs to clean messy data, build reports, create dashboards, automate recurring spreadsheet tasks, or transform data between formats.</description>\n <location>~/.openclaw/workspace/skills/afrexai-spreadsheet-master/SKILL.md</location>\n <version>sha256:6505a92ae50c1cdd</version>\n </skill>\n <skill>\n <name>sql-toolkit</name>\n <description>Query, design, migrate, and optimize SQL databases. Use when working with SQLite, PostgreSQL, or MySQL — schema design, writing queries, creating migrations, indexing, backup/restore, and debugging slow queries. No ORMs required.</description>\n <location>~/.openclaw/workspace/skills/sql-toolkit/SKILL.md</location>\n <version>sha256:515ecf904449a3cd</version>\n </skill>\n <skill>\n <name>taskflow</name>\n <description>Coordinate multi-step detached tasks as one durable TaskFlow job with owner context, state, waits, and child tasks.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md</location>\n <version>sha256:d8b6a48d329aef0a</version>\n </skill>\n <skill>\n <name>taskflow-inbox-triage</name>\n <description>Example TaskFlow pattern for inbox triage, intent routing, waiting on replies, and later summaries.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md</location>\n <version>sha256:1fe28cd924d8ae2d</version>\n </skill>\n <skill>\n <name>using-superpowers</name>\n <description>Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions</description>\n <location>~/.openclaw/workspace/skills/using-superpowers/SKILL.md</location>\n <version>sha256:81d921b16502091f</version>\n </skill>\n <skill>\n <name>weather</name>\n <description>Get current weather and forecasts (no API key required).</description>\n <location>~/.openclaw/workspace/skills/weather/SKILL.md</location>\n <version>sha256:1ca0c8d768ad603e</version>\n </skill>\n <skill>\n <name>web-search</name>\n <description>This skill should be used when users need to search the web for information, find current content, look up news articles, search for images, or find videos. 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{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","source":"runtime","type":"context.compiled","ts":"2026-07-15T10:04:58.816Z","seq":3,"sourceSeq":66,"sessionId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","sessionKey":"agent:main:dashboard:2fdf88e4-fa3f-46c2-b547-384e2c048b11","runId":"19ea56c9-af6f-4a6e-8331-4c25e67fc817","workspaceDir":"/home/yangxuan/.openclaw/workspace","provider":"deepseek","modelId":"deepseek-v4-flash","modelApi":"openai-completions","data":{"systemPrompt":{"truncated":true,"reason":"trajectory-field-size-limit","originalChars":39560,"limitChars":32768},"prompt":"update dmp_serp.dmp_im_stock_in set bill_date='2026-01-23',completed_at='2026-01-24 10:33:27', create_time='2026-01-23 09:56:17',update_time='2026-01-24 10:33:27' where stock_in_no='PE2026000002' and ecid ='hsjm';\n把时间等于最后入库时间。\n-- 采购入库主表\n-- 批量更新 dmp_serp.dmp_im_stock_in 的 create_time update_time中的日期部分为 对应的completed_at","messages":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate \n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","timestamp":1784109538113,"idempotencyKey":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"},{"role":"user","content":"保留原时分秒，只改日期部分\nUPDATE dmp_spom.dmp_mrp_main_plan_task SET plan_start_time='2026-07-07 11:03:04',create_time='2026-07-07 10:58:04',update_time='2026-07-07 11:03:04' WHERE ecid='kanda' AND plan_no='PLAN2026071414255193535522';\n-- 物料计划主表\n-- 批量更新 dmp_spom.dmp_mrp_main_plan_task 的 create_time update_time中的日期部分为 对应的plan_start_time","timestamp":1784109596434,"idempotencyKey":"7c28a842-8a9f-4cc4-9094-1298d4ce1a5c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**物料计划主表 `dmp_mrp_main_plan_task`**，要把 `create_time` 和 `update_time` 的日期部分改为对应的 `plan_start_time`，保留原时分秒。\n\n## 更新脚本\n\n```sql\nUPDATE dmp_spom.dmp_mrp_main_plan_task\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'kanda';\n```\n\n范围条件？我看你前面说的是\"计划开始时间是7月份的数据\"，但 `plan_start_time` 看样例已经是 7 月份。你对范围有要求吗？比如：\n\n```sql\n-- 如果只要 plan_start_time 在7月份的数据\nAND plan_start_time >= '2026-07-01' AND plan_start_time < '2026-08-01'\n\n-- 或者只要 plan_start_time 日期和 create_time 日期不一致的（避免无意义更新）\nAND DATE(plan_start_time) != DATE(create_time)\n```\n\n需要加范围条件吗？还是直接全量更新 `ecid = 'kanda'` 的所有记录？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":1021,"output":340,"cacheRead":26880,"cacheWrite":0,"totalTokens":28241,"cost":{"input":0.001021,"output":0.0006799999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0017009999999999998}},"stopReason":"stop","timestamp":1784109597165,"responseId":"3546056a-f6d1-4805-b0d2-e4d5739d2293"},{"role":"user","content":"采购订单\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37' where ecid = 'hsjm' and order_no ='PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 16:10:47', update_time ='2026-01-12 16:10:47' where ecid = 'hsjm' and order_no ='PO2026000002';\n把 时间等于下单时间。\n-- 采购订单\n-- 批量更新 dmp_serp.dmp_mc_purchase_order 的 create_time update_time中的日期部分为 对应的order_date\n\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\n把 时间等于下单时间。\n\n-- 采购明细表\n-- 批量更新 dmp_serp.dmp_mc_purchase_order_detail 的 create_time update_time中的日期部分为 对应的order_date","timestamp":1784109736511,"idempotencyKey":"dea79fe3-9e82-4fcc-932b-78fe7ffb7ea2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，两个表一起处理，都是**采购订单**相关，用 `order_date` 作为日期源。\n\n## 采购订单主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购订单明细表\n\n明细表需要通过 `order_no` 和 `ecid` 关联主表获取 `order_date`：\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order_detail pd\nJOIN dmp_serp.dmp_mc_purchase_order po \n ON pd.ecid = po.ecid AND pd.order_no = po.order_no\nSET \n pd.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pd.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE pd.ecid = 'hsjm';\n```\n\n同样你提到的 **plan_arrival_date**——明细表里也有这个字段，看你样例里也在改它。但你的需求描述里只提了 `create_time` 和 `update_time`，`plan_arrival_date` 是否需要基于主表的 `plan_arrival_date` 同步更新？如果需要，可以加上：\n\n```sql\n-- 在明细表的 SET 中加上 plan_arrival_date 同步\n pd.plan_arrival_date = po.plan_arrival_date,\n```\n\n---\n\n汇总一下你到目前为止的更新清单：\n\n| 序号 | 表 | 日期源字段 |\n|------|-----|-----------|\n| 1 | `dmp_serp.dmp_om_order` | `om_orderdate` |\n| 2 | `dmp_serp.dmp_om_productinfo` | 关联主表 `om_orderdate` |\n| 3 | `dmp_spom.dmp_mrp_main_plan_task` | `plan_start_time` |\n| 4 | `dmp_serp.dmp_mc_purchase_order` | `order_date` |\n| 5 | `dmp_serp.dmp_mc_purchase_order_detail` | 关联主表 `order_date` |\n\n还有其他表要处理吗？一次性都帮你搞定 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":537,"output":666,"cacheRead":28160,"cacheWrite":0,"totalTokens":29363,"cost":{"input":0.0005369999999999999,"output":0.0013319999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0018689999999999998}},"stopReason":"stop","timestamp":1784109737239,"responseId":"4b7762d3-e202-4784-90ea-1934b8437ee9"},{"role":"user","content":"采购到货\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 14:59:11', update_time = '2026-01-22 14:59:11' where ecid = 'hsjm' and arrival_no = 'PAD2026000001';\n\n\n把 时间等于送货时间。\n-- 采购到货主表\n\n\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\n\n把 时间等于送货时间。\n-- 采购到货明细","timestamp":1784109773108,"idempotencyKey":"c1f0893e-59e7-4e66-8ebf-c96466a88991:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `ship_date`（送货时间/发货时间）。\n\n## 采购到货主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购到货明细表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival_detail ad\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON ad.ecid = a.ecid AND ad.arrival_no = a.arrival_no\nSET \n ad.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n ad.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ad.ecid = 'hsjm';\n```\n\n不过我看你的例子里，`ship_date` 和 `arrival_date` 都是 `'2026-01-22'`（同一天）。你说\"时间等于**送货时间**\"，那就是用 `ship_date` 作为日期源，没错吧？还是说你想用 `arrival_date`（到货时间）？\n\n---\n\n## 📋 完整更新清单（截至目前）\n\n| 序号 | 表 | 数据库 | 日期源字段 | 关联方式 |\n|------|-----|--------|-----------|---------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 直接更新 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate` | JOIN 主表 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 直接更新 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 直接更新 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date` | JOIN 主表 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 直接更新 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date` | JOIN 主表 |\n\n还继续有吗？一次性整完 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":427,"output":719,"cacheRead":29312,"cacheWrite":0,"totalTokens":30458,"cost":{"input":0.00042699999999999997,"output":0.001438,"cacheRead":0,"cacheWrite":0,"total":0.001865}},"stopReason":"stop","timestamp":1784109773806,"responseId":"8409c206-8436-4c31-93df-a6c9c78ea7a5"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验","timestamp":1784109808938,"idempotencyKey":"4b7a78ce-766c-439b-8784-ec9eef3f92ac:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**来料检验表**，需要关联**采购到货单**获取 `ship_date`。\n\n关联关系：`qc_task_inspect` 通过某个字段关联到采购到货单？我先看看常见关联方式——通常来料检验单会记录 `arrival_no`（到货单号）和 `ecid`。\n\n如果 `qc_task_inspect` 里有 `arrival_no` 字段，关联到 `dmp_mc_purchase_arrival`：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect qi\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON qi.ecid = a.ecid AND qi.arrival_no = a.arrival_no\nSET \n qi.insp_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.insp_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE qi.ecid = 'hsjm';\n```\n\n不过我需要确认一下——`qc_task_inspect` 里**关联采购到货单的字段名是什么**？常见的有：\n- `arrival_no` — 到货单号\n- `src_bill_no` — 来源单据号\n\n你能看看表结构确认一下关联字段吗？或者直接告诉我 `qc_task_inspect` 里哪个字段存的是到货单号就行。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":317,"output":444,"cacheRead":30336,"cacheWrite":0,"totalTokens":31097,"cost":{"input":0.000317,"output":0.000888,"cacheRead":0,"cacheWrite":0,"total":0.001205}},"stopReason":"stop","timestamp":1784109809545,"responseId":"a97cc980-d1b1-4640-9631-1a5bc07b2155"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验 只有主表","timestamp":1784109834801,"idempotencyKey":"1b1a78a5-b104-491c-8c1a-3388b55520a1:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"只有主表，没有关联明细。那 `qc_task_inspect` 直接用某个字段关联到采购到货单获取 `ship_date`。我需要先看看这个表里有什么关联字段。\n\n让我查一下表结构："},{"type":"toolCall","id":"call00zNFXflO9uvHF88gvemNV1946","name":"exec","arguments":{"command":"mysql -u root -p'YourPassword' -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null || echo \"NEED_PASSWORD\""},"partialArgs":"{\"command\": \"mysql -u root -p'YourPassword' -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null || echo \\\"NEED_PASSWORD\\\"\"}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":320,"output":127,"cacheRead":30976,"cacheWrite":0,"totalTokens":31423,"cost":{"input":0.00031999999999999997,"output":0.000254,"cacheRead":0,"cacheWrite":0,"total":0.000574}},"stopReason":"toolUse","timestamp":1784109835616,"responseId":"6d7b9ef4-7af8-4b71-a201-06dba58c46a8"},{"role":"toolResult","toolCallId":"call00zNFXflO9uvHF88gvemNV1946","toolName":"exec","content":[{"type":"text","text":"NEED_PASSWORD"}],"isError":false,"timestamp":1784109838817},{"role":"assistant","content":[{"type":"toolCall","id":"call00PIuYMg0px60fCGWCIhay2037","name":"exec","arguments":{"command":"mysql -u root -p -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null | head -50","timeout":10},"partialArgs":"{\"command\": \"mysql -u root -p -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null | head -50\", \"timeout\": 10}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":79,"output":90,"cacheRead":31360,"cacheWrite":0,"totalTokens":31529,"cost":{"input":0.000079,"output":0.00017999999999999998,"cacheRead":0,"cacheWrite":0,"total":0.000259}},"stopReason":"toolUse","timestamp":1784109838831,"responseId":"1ac67ea0-15ab-4d4d-8d1a-bec64bd8a1be"},{"role":"toolResult","toolCallId":"call00PIuYMg0px60fCGWCIhay2037","toolName":"exec","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1784109840424},{"role":"assistant","content":[{"type":"text","text":"没有直连数据库的权限，没关系。你看看 `qc_task_inspect` 表里有什么字段可以用来关联到采购到货单？比如：\n\n- `arrival_no`（到货单号）\n- `src_bill_no` / `source_no`（来源单号）\n- `order_no`（采购订单号）\n- 或者其它什么字段？\n\n你告诉我关联字段名，我就能直接写出完整的 SQL 了。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":55,"output":92,"cacheRead":31488,"cacheWrite":0,"totalTokens":31635,"cost":{"input":0.000054999999999999995,"output":0.000184,"cacheRead":0,"cacheWrite":0,"total":0.000239}},"stopReason":"stop","timestamp":1784109840437,"responseId":"e2a7cf1e-c246-4d51-b8a5-498bd181dfce"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验\n-- 批量更新 dmp_smes.qc_task_inspect 的 create_time update_time中的日期部分为 对应insp_time","timestamp":1784109869504,"idempotencyKey":"31a50ea4-daa6-44a6-b525-6e085ebd2335:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"啊，看明白了！你的意思是 **直接用 `insp_time` 作为日期源**，不需要关联到货单：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单汇总\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|--------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 否 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（关联主表） | 是 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 否 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 否 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（关联主表） | 是 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 否 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（关联主表） | 是 |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | 否 |\n\n还有要处理的表吗？一起搞定 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":242,"output":471,"cacheRead":31616,"cacheWrite":0,"totalTokens":32329,"cost":{"input":0.000242,"output":0.0009419999999999999,"cacheRead":0,"cacheWrite":0,"total":0.001184}},"stopReason":"stop","timestamp":1784109870180,"responseId":"0bddd8b3-54ef-4280-b497-c5f6e7c4c117"}],"tools":[{"name":"agents_list","description":"List agent ids allowed for `sessions_spawn runtime=\"subagent\"`.","parameters":{"type":"object","properties":{}}},{"name":"apply_patch","description":"Apply a patch to one or more files using the apply_patch format. The input should include *** Begin Patch and *** End Patch markers.","parameters":{"type":"object","required":["input"],"properties":{"input":{"type":"string","description":"Patch content using the *** Begin Patch/End Patch format."}}}},{"name":"create_goal","description":"Create a goal only when explicitly requested by the user or system instructions. Fails if a goal already exists; use user-facing goal controls to clear it.","parameters":{"type":"object","required":["objective"],"properties":{"objective":{"type":"string","description":"Concrete objective to pursue. Create only when explicitly requested."},"token_budget":{"type":"number","description":"Optional positive token budget for this goal."}}}},{"name":"cron","description":"Manage Gateway cron jobs and wake events: reminders, check-back-later, delayed follow-ups, recurring work. Do not emulate scheduling with exec sleep/process polling.\n\nMain cron => system events for heartbeat. Isolated cron => background task in `openclaw tasks`.\n\nACTIONS:\n- status: scheduler status\n- list: compact job summaries; includeDisabled true includes disabled; use get for full job details; agentId filter auto-filled from session\n- get: one job; needs jobId\n- add: create job; needs job object\n- update: patch job; needs jobId + patch\n- remove: delete job; needs jobId\n- run: run only if due by default; needs jobId; pass runMode=\"force\" to trigger now\n- runs: run history; needs jobId\n- wake: send wake event; needs text, optional mode; defaults the target to the calling session/agent. Pass top-level sessionKey/agentId to wake a different lane owned by the calling agent.\n\nJOB SCHEMA (for add action):\n{\n \"name\": \"string\",\n \"schedule\": { ... }, // required\n \"trigger\": { \"script\": \"...\", \"once\": false }, // optional condition gate for every/cron\n \"payload\": { ... }, // required\n \"delivery\": { ... }, // optional announce for isolated/current/session, webhook for any target\n \"sessionTarget\": \"main\" | \"isolated\" | \"current\" | \"session:<id>\",\n \"enabled\": true | false // default true\n}\n\nSESSION TARGET OPTIONS:\n- \"main\": main session; requires payload.kind=\"systemEvent\"\n- \"isolated\": ephemeral isolated session; requires payload.kind=\"agentTurn\"\n- \"current\": bind current session at creation\n- \"session:<id>\": persistent named session\n\nDEFAULTS:\n- payload.kind=\"systemEvent\" → defaults to \"main\"\n- payload.kind=\"agentTurn\" → defaults to \"isolated\"\nCurrent binding needs sessionTarget=\"current\".\n\nSCHEDULE TYPES (schedule.kind):\n- \"at\": one-shot absolute time\n { \"kind\": \"at\", \"at\": \"<ISO-8601 timestamp>\" }\n- \"every\": recurring interval\n { \"kind\": \"every\", \"everyMs\": <ms>, \"anchorMs\": <optional-ms> }\n- \"cron\": expr in supplied timezone, or Gateway host local timezone when tz omitted\n { \"kind\": \"cron\", \"expr\": \"<cron-expression>\", \"tz\": \"<optional-IANA-timezone>\" }\n Write expr in local wall-clock time; do not convert the requested local time to UTC first.\n tz omitted => Gateway host local timezone, not UTC.\n Example 6pm Shanghai daily: { \"kind\": \"cron\", \"expr\": \"0 18 * * *\", \"tz\": \"Asia/Shanghai\" }\n\nOptional trigger scripts poll headlessly on every/cron schedules and run the payload only when they return { fire: true }.\n\nFor \"at\", ISO timestamps without timezone are UTC.\n\nPAYLOAD TYPES (payload.kind):\n- \"systemEvent\": inject text as system event\n { \"kind\": \"systemEvent\", \"text\": \"<message>\" }\n- \"agentTurn\": run agent with prompt; isolated/current/session only\n { \"kind\": \"agentTurn\", \"message\": \"<prompt>\", \"model\": \"<optional>\", \"thinking\": \"<optional>\", \"timeoutSeconds\": <optional, 0=no timeout> }\n\nDELIVERY (top-level):\n { \"mode\": \"none|announce|webhook\", \"channel\": \"<optional>\", \"to\": \"<optional>\", \"threadId\": \"<optional>\", \"bestEffort\": <optional-bool> }\n - isolated agentTurn default when omitted: \"announce\"\n - announce: send to chat channel; isolated/current/session only; optional channel/to\n - threadId: chat thread/topic id\n - webhook: POST finished-run event to delivery.to URL\n - Specific chat/recipient: set announce delivery.channel/to; do not call messaging tools inside run.\n\nCRITICAL CONSTRAINTS:\n- sessionTarget=\"main\" REQUIRES payload.kind=\"systemEvent\"\n- sessionTarget=\"isolated\" | \"current\" | \"session:xxx\" REQUIRES payload.kind=\"agentTurn\"\n- Webhook: delivery.mode=\"webhook\" and delivery.to URL.\nDefault: prefer isolated agentTurn jobs unless the user explicitly wants current-session binding.\n\nRESTRICTED CRON RUNS:\n- Some isolated cron runs get narrow self-cleanup grant: status/list self-only, get/runs current job only, mutation only remove current job.\n\nWAKE MODES (for wake action):\n- \"next-heartbeat\" default: wake next heartbeat\n- \"now\": wake immediately\n\nUse jobId canonical; id accepted compat. contextMessages (0-10) adds previous messages as job context.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"includeDisabled":{"type":"boolean"},"job":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"additionalProperties":true},"jobId":{"type":"string"},"id":{"type":"string"},"patch":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"additionalProperties":true},"text":{"type":"string"},"mode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"runMode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Run mode for action=\"run\": omitted defaults to \"due\"; use \"force\" to trigger now."},"contextMessages":{"type":"integer","minimum":0,"maximum":10},"agentId":{"type":"string","description":"List filter for `action: \"list\"`; wake target override for `action: \"wake\"` (defaults to the calling agent when omitted on wake)"},"sessionKey":{"type":"string","description":"Wake target override for `action: \"wake\"`: route the event to another session owned by the calling agent. Defaults to the resolved calling-session key when omitted."}},"additionalProperties":true}},{"name":"edit","description":"Edit a single file using exact text replacement. Every edits[].oldText must match a unique, non-overlapping region of the original file. If two changes affect the same block or nearby lines, merge them into one edit instead of emitting overlapping edits. Do not include large unchanged regions just to connect distant changes.","parameters":{"type":"object","required":["path","edits"],"properties":{"path":{"type":"string","description":"Path to the file to edit (relative or absolute)"},"edits":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"One or more targeted replacements. Each edit is matched against the original file, not incrementally. Do not include overlapping or nested edits. If two changes touch the same block or nearby lines, merge them into one edit instead."}},"additionalProperties":false}},{"name":"exec","description":"Execute shell commands with background continuation for work that starts now. Use yieldMs/background to continue later via process tool. For long-running work started now, rely on automatic completion wake when it is enabled and the command emits output or fails; otherwise use process to confirm completion. Use process whenever you need logs, status, input, or intervention. Do not use exec sleep or delay loops for reminders or deferred follow-ups; use cron instead. Use pty=true for TTY-required commands (terminal UIs, coding agents).","parameters":{"type":"object","required":["command"],"properties":{"command":{"type":"string","description":"Shell command to execute"},"workdir":{"type":"string","description":"Working directory. Blank/whitespace values are invalid; omit to use the default cwd."},"env":{"type":"object","patternProperties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"yieldMs":{"type":"number","description":"Milliseconds to wait before backgrounding (default 10000)"},"background":{"type":"boolean","description":"Run in background immediately"},"timeout":{"type":"number","description":"Timeout in seconds (optional, kills process on expiry)"},"pty":{"type":"boolean","description":"Run in a pseudo-terminal (PTY) when available (TTY-required CLIs, coding agents)"},"elevated":{"type":"boolean","description":"Run on the host with elevated permissions (if allowed)"},"host":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Exec host/target (auto|sandbox|gateway|node)."},"security":{"type":"string","description":"Ignored for normal calls; exec security is set by tools.exec.security and host approvals."},"ask":{"type":"string","description":"Baseline ask comes from tools.exec.ask and host approvals; channel-origin calls ignore per-call ask when effective host ask is off."},"node":{"type":"string","description":"Node id/name for host=node."}}}},{"name":"gateway","description":"Gateway restart/config/update. Before config edits, use config.schema.lookup with targeted dot path. Prefer config.patch for partial merge; config.apply only full replace. For config.patch that intentionally removes array entries, pass replacePaths with the exact affected array path. Writes hot-reload or restart as needed. Always pass human `note` for post-restart delivery. If post-restart work must continue internally, pass one-shot `continuationMessage`; visible follow-up from that turn must use the message tool. Do not write restart sentinel files directly.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"delayMs":{"type":"integer","minimum":0},"reason":{"type":"string"},"continuationMessage":{"type":"string"},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"path":{"type":"string"},"raw":{"type":"string"},"baseHash":{"type":"string"},"replacePaths":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"maxItems":256},"sessionKey":{"type":"string"},"note":{"type":"string"},"restartDelayMs":{"type":"integer","minimum":0}}}},{"name":"get_goal","description":"Get the current goal for this thread, including status and token usage.","parameters":{"type":"object","properties":{}}},{"name":"image","description":"Analyze images with available vision model. Use image for one path/URL, images for max 20. Prompt says what to inspect.","parameters":{"type":"object","properties":{"prompt":{"type":"string"},"image":{"type":"string","description":"One image path/URL."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Image paths/URLs; maxImages default 20."},"model":{"type":"string"},"maxBytesMb":{"type":"number","exclusiveMinimum":0},"maxImages":{"type":"integer","minimum":1}}}},{"name":"image_generate","description":"Create/edit images. Session chats: background task; do not call image_generate again for same request; wait completion, then report through the current visible-reply contract with generated media attached using structured media fields. Transparent: outputFormat=\"png\" or \"webp\" + background=\"transparent\"; OpenAI also supports openai.background and routes default model to gpt-image-1.5. Use action=\"list\" for providers/models/readiness/auth, \"status\" for active task.","parameters":{"type":"object","properties":{"action":{"type":"string","description":"\"generate\" default, \"status\" active task, \"list\" providers/models."},"prompt":{"type":"string","description":"Image prompt."},"image":{"type":"string","description":"Reference image path/URL for edit."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference images for edit or style reference; max 14."},"model":{"type":"string","description":"Provider/model override, e.g. openai/gpt-image-2; transparent OpenAI: openai/gpt-image-1.5."},"filename":{"type":"string","description":"Output filename hint; basename preserved in managed media dir."},"size":{"type":"string","description":"Size hint: 1024x1024, 1536x1024, 1024x1536, 2048x2048, 3840x2160."},"aspectRatio":{"type":"string","description":"Aspect ratio: 1:1, 2:1, 20:9, 19.5:9, 2:3, 3:2, 2.35:1, 3:4, 4:3, 4:5, 5:4, 9:16, 9:19.5, 9:20, 16:9, 21:9, 1:2, 4:1, 1:4, 8:1, 1:8."},"resolution":{"type":"string","description":"Resolution: 1K, 2K, 4K; useful for Google."},"quality":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Quality: low, medium, high, auto."},"outputFormat":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Output format: png, jpeg, webp."},"background":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Background: transparent, opaque, auto. Transparent needs png/webp output."},"openai":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"fal":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"count":{"type":"integer","description":"Image count 1-4.","minimum":1,"maximum":4},"timeoutMs":{"type":"integer","description":"Provider timeout ms (300000 tends to be a safe amount).","minimum":1}}}},{"name":"memory_get","description":"Safe exact excerpt read from MEMORY.md or memory/*.md. Defaults to a bounded excerpt when lines are omitted, includes truncation/continuation info when more content exists, and `corpus=wiki` reads from registered compiled-wiki supplements.","parameters":{"type":"object","properties":{"path":{"type":"string"},"from":{"type":"integer","minimum":1},"lines":{"type":"integer","minimum":1},"corpus":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}},"required":["path"],"additionalProperties":false}},{"name":"memory_search","description":"Mandatory recall step: semantically search MEMORY.md + memory/*.md (and optional session transcripts) before answering questions about prior work, decisions, dates, people, preferences, or todos. Optional `corpus=wiki` or `corpus=all` also searches registered compiled-wiki supplements. `corpus=memory` restricts hits to indexed memory files (excludes session transcript chunks from ranking). `corpus=sessions` restricts hits to indexed session transcripts (same visibility rules as session history tools). If response has disabled=true, memory retrieval is unavailable and should be surfaced to the user.","parameters":{"type":"object","properties":{"query":{"type":"string"},"maxResults":{"type":"integer","minimum":1},"minScore":{"type":"number"},"corpus":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}},"required":["query"],"additionalProperties":false}},{"name":"message","description":"Send/delete/manage channel messages. Supports actions: send.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"channel":{"type":"string"},"target":{"type":"string","description":"Recipient/channel: E.164 for WhatsApp/Signal, Telegram chat id/@username, Discord/Slack/Mattermost <channelId|user:ID|channel:ID>, or iMessage handle/chat_id"},"targets":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"accountId":{"type":"string"},"dryRun":{"type":"boolean"},"message":{"type":"string"},"effectId":{"type":"string","description":"Effect id/name for sendWithEffect."},"effect":{"type":"string","description":"Alias for effectId."},"media":{"type":"string","description":"Media URL/path. data: use buffer."},"filename":{"type":"string"},"buffer":{"type":"string","description":"Base64 attachment payload; data URL ok."},"contentType":{"type":"string"},"mimeType":{"type":"string"},"caption":{"type":"string"},"attachments":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Structured attachments; each entry uses media."},"replyTo":{"type":"string"},"threadId":{"type":"string"},"asVoice":{"type":"boolean"},"silent":{"type":"boolean"},"quoteText":{"type":"string","description":"Telegram reply quote text."},"gifPlayback":{"type":"boolean"},"forceDocument":{"type":"boolean","description":"Send image/GIF/video as document; avoids compression."},"asDocument":{"type":"boolean","description":"Alias for forceDocument."},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1}}}},{"name":"node_inference","description":"Discover and run chat-capable Ollama models installed on paired desktop/server nodes. Use action=discover first, then action=run with a node and model from that result. Inference stays on the selected node.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"node":{"type":"string","description":"Connected node id or display name. Required when ambiguous."},"model":{"type":"string","description":"Exact local model name returned by discover."},"prompt":{"type":"string","description":"Prompt for action=run."},"system":{"type":"string","description":"Optional system prompt for action=run."},"temperature":{"type":"number","minimum":0,"maximum":2},"maxTokens":{"type":"integer","minimum":1,"maximum":8192},"timeoutMs":{"type":"integer","minimum":1,"maximum":600000}},"additionalProperties":false}},{"name":"nodes","description":"Discover/control paired nodes: status, describe, pairing, notify, camera/photos/screen/location/notifications/invoke. Use file_fetch for files.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"node":{"type":"string"},"requestId":{"type":"string"},"title":{"type":"string"},"body":{"type":"string"},"sound":{"type":"string"},"priority":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"delivery":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"facing":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"camera_snap: front/back/both; camera_clip: front/back only."},"maxWidth":{"type":"integer","minimum":1},"quality":{"type":"number","minimum":0,"maximum":1},"delayMs":{"type":"integer","minimum":0},"deviceId":{"type":"string"},"limit":{"type":"integer","minimum":1,"maximum":20},"duration":{"type":"string"},"durationMs":{"type":"integer","minimum":1,"maximum":300000},"includeAudio":{"type":"boolean"},"fps":{"type":"number","exclusiveMinimum":0},"screenIndex":{"type":"integer","minimum":0},"outPath":{"type":"string"},"maxAgeMs":{"type":"integer","minimum":0},"locationTimeoutMs":{"type":"integer","minimum":1},"desiredAccuracy":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"notificationAction":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"notificationKey":{"type":"string"},"notificationReplyText":{"type":"string"},"invokeCommand":{"type":"string"},"invokeParamsJson":{"type":"string"},"invokeTimeoutMs":{"type":"integer","minimum":1}}}},{"name":"pdf","description":"Analyze PDFs with model. Anthropic/Google native PDF when supported; else text/image extraction. Use pdf for one, pdfs for max 10; prompt says what to inspect.","parameters":{"type":"object","properties":{"prompt":{"type":"string"},"pdf":{"type":"string","description":"One PDF path/URL."},"pdfs":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"PDF paths/URLs; max 10."},"pages":{"type":"string","description":"Pages, e.g. \"1-5\", \"1,3,5-7\"; default all."},"model":{"type":"string"},"maxBytesMb":{"type":"number","exclusiveMinimum":0}}}},{"name":"process","description":"Manage running exec sessions for commands already started: list, poll, log, write, send-keys, submit, paste, kill. Use poll/log when you need status, logs, quiet-success confirmation, or completion confirmation when automatic completion wake is unavailable. Use poll/log also for input-wait hints. Use write/send-keys/submit/paste/kill for input or intervention. Do not use process polling to emulate timers or reminders; use cron for scheduled follow-ups.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","description":"Process action (list|poll|log|write|send-keys|submit|paste|kill|clear|remove)"},"sessionId":{"type":"string","description":"Session id for actions other than list"},"data":{"type":"string","description":"Data to write for write"},"keys":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Key tokens to send for send-keys"},"hex":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Hex bytes to send for send-keys"},"literal":{"type":"string","description":"Literal string for send-keys"},"text":{"type":"string","description":"Text to paste for paste"},"bracketed":{"type":"boolean","description":"Wrap paste in bracketed mode"},"eof":{"type":"boolean","description":"Close stdin after write"},"offset":{"type":"number","description":"Log offset"},"limit":{"type":"number","description":"Log length"},"timeout":{"type":"number","description":"For poll: wait up to this many milliseconds before returning; max 30000 ms, higher values are clamped to 30000","minimum":0}}}},{"name":"read","description":"Read the contents of a file. Supports text files and images (jpg, png, gif, webp, bmp). Images are sent as attachments. For text files, output is truncated to 2000 lines or 50KB (whichever is hit first). Use offset/limit for large files. When you need the full file, continue with offset until complete.","parameters":{"type":"object","required":["path"],"properties":{"path":{"type":"string","description":"Path to the file to read (relative or absolute)"},"offset":{"type":"number","description":"Line number to start reading from (1-indexed)"},"limit":{"type":"number","description":"Maximum number of lines to read"}}}},{"name":"session_status","description":"Show /status-like card for current/visible session: model, usage, time, cost, tasks. Use `sessionKey=\"current\"` for current session; UI labels like `openclaw-tui` are not keys. `model` sets session override; `model=default` resets. Use for active model/session config questions.","parameters":{"type":"object","properties":{"sessionKey":{"type":"string"},"model":{"type":"string"}}}},{"name":"sessions_history","description":"Fetch sanitized history for visible session. Use before replying, debugging, resuming; supports limit, offset pagination, and tool-message inclusion.","parameters":{"type":"object","required":["sessionKey"],"properties":{"sessionKey":{"type":"string"},"limit":{"type":"integer","minimum":1},"offset":{"type":"integer","minimum":0},"includeTools":{"type":"boolean"}}}},{"name":"sessions_list","description":"List visible sessions; filter by kind, label, agentId, search, activity, archive state. Use before sessions_history or sessions_send target selection.","parameters":{"type":"object","properties":{"kinds":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"limit":{"type":"integer","minimum":1},"activeMinutes":{"type":"integer","minimum":1},"messageLimit":{"type":"integer","minimum":0},"label":{"type":"string","minLength":1},"agentId":{"type":"string","minLength":1,"maxLength":64},"search":{"type":"string","minLength":1},"archived":{"type":"boolean"},"includeDerivedTitles":{"type":"boolean"},"includeLastMessage":{"type":"boolean"}}}},{"name":"sessions_send","description":"Send message to visible session by sessionKey/label, or configured agent by agentId; sessionKey wins when redundant label metadata is present. Thread-scoped chats rejected; target parent channel session. Creates missing configured-agent main session; waits for reply when available.","parameters":{"type":"object","required":["message"],"properties":{"sessionKey":{"type":"string"},"label":{"type":"string","minLength":1,"maxLength":512},"agentId":{"type":"string","minLength":1,"maxLength":64},"message":{"type":"string"},"timeoutSeconds":{"type":"integer","minimum":0}}}},{"name":"sessions_spawn","description":"Spawn clean child session; default `runtime=\"subagent\"`. `mode=\"run\"` one-shot background work. Subagents inherit parent workspace. Native subagents get task in first visible `[Subagent Task]` message. Native only: `context=\"fork\"` only when child needs current transcript; else omit or `isolated`. Use for fresh child-session work. Delegate sidecar/parallel tasks: batch file reads, multi-step searches, data collection. Avoid delegating quick lookups or single-file reads unless policy prefers delegation. After spawning, do non-overlapping work while run-mode results return.","parameters":{"type":"object","required":["task"],"properties":{"task":{"type":"string"},"taskName":{"type":"string","description":"Stable alias for later targeting; lowercase letters/digits/underscores/hyphens, starts letter."},"label":{"type":"string"},"runtime":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"agentId":{"type":"string"},"model":{"type":"string"},"thinking":{"type":"string"},"cwd":{"type":"string"},"mode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"cleanup":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"sandbox":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"context":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Native context. Omit/\"isolated\" for clean child; \"fork\" only when child needs requester transcript."},"lightContext":{"type":"boolean","description":"Light bootstrap context; runtime=\"subagent\" only."},"attachments":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"maxItems":50},"attachAs":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}}}},{"name":"sessions_yield","description":"End current turn. Use after spawning subagents; results arrive as next message.","parameters":{"type":"object","properties":{"message":{"type":"string"}}}},{"name":"skill_workshop","description":"Create, update, revise, list, inspect, apply, reject, or quarantine Skill Workshop proposals when reusable procedures should be captured, improved, or explicitly approved.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"create = new skill; update = existing live skill; revise = existing pending proposal; list/inspect discover pending proposals (not filesystem search); apply/reject/quarantine are explicit lifecycle actions."},"proposal_id":{"type":"string","description":"Existing proposal id for action=inspect, action=revise, action=apply, action=reject, or action=quarantine."},"name":{"type":"string","description":"Skill/proposal name. Required for create; for inspect/revise when proposal_id is unknown, resolves a pending proposal or returns candidates."},"query":{"type":"string","description":"Optional query for action=list."},"status":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Optional proposal status filter for action=list."},"limit":{"type":"integer","minimum":1,"maximum":50,"description":"Maximum proposals to return for action=list. Defaults to 20."},"description":{"type":"string","maxLength":160,"description":"Skill description for create/update/revise; max 160 bytes. On update, concise text shortens the proposal listing entry."},"skill_name":{"type":"string","description":"Existing skill name or key for action=update."},"proposal_content":{"type":"string","description":"Full proposed procedure markdown for action=create, action=update, or action=revise. It will be stored as PROPOSAL.md. Keep under configured skills.workshop.maxSkillBytes; default max is 40000 bytes."},"support_files":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Optional support files to store with the proposal."},"goal":{"type":"string","description":"Proposal or improvement goal."},"evidence":{"type":"string","description":"Short evidence or notes."},"reason":{"type":"string","description":"Optional reason for action=apply, action=reject, or action=quarantine."}},"additionalProperties":false}},{"name":"subagents","description":"List active and recent subagents for the requester session. If sessions_yield exists, use it for completion; do not poll wait loops.","parameters":{"type":"object","properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"recentMinutes":{"type":"integer","minimum":1}}}},{"name":"tts","description":"Use only for explicit audio intent (voice/speech/TTS) or active TTS config. Never use for ordinary text replies. Audio auto-delivered from tool result; after success follow reply instructions, no duplicate text/audio.","parameters":{"type":"object","required":["text"],"properties":{"text":{"type":"string","description":"Text to speak."},"channel":{"type":"string","description":"Channel id; output-format hint."},"timeoutMs":{"type":"integer","description":"Provider timeout ms.","minimum":1}}}},{"name":"update_goal","description":"Mark the current goal complete only when achieved, or blocked only after the same blocking condition recurs for at least three consecutive goal turns. Do not use blocked for ordinary difficulty or missing polish.","parameters":{"type":"object","required":["status"],"properties":{"status":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"complete | blocked."},"note":{"type":"string","description":"Short status note."}}}},{"name":"update_plan","description":"Update current run plan. Use for non-trivial multi-step work; keep plan current while executing. Short steps; max one `in_progress`; skip for simple one-step work.","parameters":{"type":"object","required":["plan"],"properties":{"explanation":{"type":"string","description":"Short note: what changed."},"plan":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"minItems":1,"description":"Ordered steps; max one in_progress."}}}},{"name":"video_generate","description":"Create videos. Session chats: background task; do not call video_generate again for same request; wait completion, then report through the current visible-reply contract with generated media attached using structured media fields. \"status\" checks active task. Duration may round to provider-supported value.","parameters":{"type":"object","properties":{"action":{"type":"string","description":"\"generate\" default, \"status\" active task, \"list\" providers/models."},"prompt":{"type":"string","description":"Video prompt."},"image":{"type":"string","description":"One reference image path/URL."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference images; max 9."},"imageRoles":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"`image` + `images` roles by index after de-dupe. Values: first_frame, last_frame, reference_image; empty string leaves unset."},"video":{"type":"string","description":"One reference video path/URL."},"videos":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference videos; max 4."},"videoRoles":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"`video` + `videos` roles by index after de-dupe. Value: reference_video; empty string leaves unset."},"model":{"type":"string","description":"Provider/model override, e.g. qwen/wan2.6-t2v."},"filename":{"type":"string","description":"Output filename hint; basename preserved in managed media dir."},"size":{"type":"string","description":"Size hint, e.g. 1280x720, 1920x1080."},"aspectRatio":{"type":"string","description":"Aspect ratio: 1:1, 16:9, 9:16, \"adaptive\", or provider value; unsupported normalized/ignored."},"resolution":{"type":"string","description":"Resolution: 360P, 480P, 540P, 720P, 768P, 1080P, 4K, or provider value; unsupported normalized/ignored."},"durationSeconds":{"type":"integer","description":"Target seconds; may round to nearest supported duration.","minimum":1},"audio":{"type":"boolean","description":"Generated-audio toggle."},"watermark":{"type":"boolean","description":"Watermark toggle."},"providerOptions":{"type":"object","patternProperties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Provider JSON options, e.g. {\"seed\":42}. Keys/types must match provider capabilities; mismatch skips candidate. Use action=list for accepted keys."},"timeoutMs":{"type":"integer","description":"Provider timeout ms.","minimum":1}}}},{"name":"write","description":"Write content to a file. Creates the file if it doesn't exist, overwrites if it does. Automatically creates parent directories.","parameters":{"type":"object","required":["path","content"],"properties":{"path":{"type":"string","description":"Path to the file to write (relative or absolute)"},"content":{"type":"string","description":"Content to write to the file"}}}}],"imagesCount":0,"streamStrategy":"boundary-aware:openai-completions","transport":"auto","transcriptLeafId":"b0ab602f"}}
|
||
{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","source":"runtime","type":"prompt.submitted","ts":"2026-07-15T10:04:58.849Z","seq":4,"sourceSeq":67,"sessionId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","sessionKey":"agent:main:dashboard:2fdf88e4-fa3f-46c2-b547-384e2c048b11","runId":"19ea56c9-af6f-4a6e-8331-4c25e67fc817","workspaceDir":"/home/yangxuan/.openclaw/workspace","provider":"deepseek","modelId":"deepseek-v4-flash","modelApi":"openai-completions","data":{"prompt":"update dmp_serp.dmp_im_stock_in set bill_date='2026-01-23',completed_at='2026-01-24 10:33:27', create_time='2026-01-23 09:56:17',update_time='2026-01-24 10:33:27' where stock_in_no='PE2026000002' and ecid ='hsjm';\n把时间等于最后入库时间。\n-- 采购入库主表\n-- 批量更新 dmp_serp.dmp_im_stock_in 的 create_time update_time中的日期部分为 对应的completed_at","systemPrompt":{"truncated":true,"reason":"trajectory-field-size-limit","originalChars":39560,"limitChars":32768},"messages":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate \n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","timestamp":1784109538113,"idempotencyKey":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"},{"role":"user","content":"保留原时分秒，只改日期部分\nUPDATE dmp_spom.dmp_mrp_main_plan_task SET plan_start_time='2026-07-07 11:03:04',create_time='2026-07-07 10:58:04',update_time='2026-07-07 11:03:04' WHERE ecid='kanda' AND plan_no='PLAN2026071414255193535522';\n-- 物料计划主表\n-- 批量更新 dmp_spom.dmp_mrp_main_plan_task 的 create_time update_time中的日期部分为 对应的plan_start_time","timestamp":1784109596434,"idempotencyKey":"7c28a842-8a9f-4cc4-9094-1298d4ce1a5c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**物料计划主表 `dmp_mrp_main_plan_task`**，要把 `create_time` 和 `update_time` 的日期部分改为对应的 `plan_start_time`，保留原时分秒。\n\n## 更新脚本\n\n```sql\nUPDATE dmp_spom.dmp_mrp_main_plan_task\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'kanda';\n```\n\n范围条件？我看你前面说的是\"计划开始时间是7月份的数据\"，但 `plan_start_time` 看样例已经是 7 月份。你对范围有要求吗？比如：\n\n```sql\n-- 如果只要 plan_start_time 在7月份的数据\nAND plan_start_time >= '2026-07-01' AND plan_start_time < '2026-08-01'\n\n-- 或者只要 plan_start_time 日期和 create_time 日期不一致的（避免无意义更新）\nAND DATE(plan_start_time) != DATE(create_time)\n```\n\n需要加范围条件吗？还是直接全量更新 `ecid = 'kanda'` 的所有记录？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":1021,"output":340,"cacheRead":26880,"cacheWrite":0,"totalTokens":28241,"cost":{"input":0.001021,"output":0.0006799999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0017009999999999998}},"stopReason":"stop","timestamp":1784109597165,"responseId":"3546056a-f6d1-4805-b0d2-e4d5739d2293"},{"role":"user","content":"采购订单\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37' where ecid = 'hsjm' and order_no ='PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 16:10:47', update_time ='2026-01-12 16:10:47' where ecid = 'hsjm' and order_no ='PO2026000002';\n把 时间等于下单时间。\n-- 采购订单\n-- 批量更新 dmp_serp.dmp_mc_purchase_order 的 create_time update_time中的日期部分为 对应的order_date\n\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\n把 时间等于下单时间。\n\n-- 采购明细表\n-- 批量更新 dmp_serp.dmp_mc_purchase_order_detail 的 create_time update_time中的日期部分为 对应的order_date","timestamp":1784109736511,"idempotencyKey":"dea79fe3-9e82-4fcc-932b-78fe7ffb7ea2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，两个表一起处理，都是**采购订单**相关，用 `order_date` 作为日期源。\n\n## 采购订单主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购订单明细表\n\n明细表需要通过 `order_no` 和 `ecid` 关联主表获取 `order_date`：\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order_detail pd\nJOIN dmp_serp.dmp_mc_purchase_order po \n ON pd.ecid = po.ecid AND pd.order_no = po.order_no\nSET \n pd.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pd.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE pd.ecid = 'hsjm';\n```\n\n同样你提到的 **plan_arrival_date**——明细表里也有这个字段，看你样例里也在改它。但你的需求描述里只提了 `create_time` 和 `update_time`，`plan_arrival_date` 是否需要基于主表的 `plan_arrival_date` 同步更新？如果需要，可以加上：\n\n```sql\n-- 在明细表的 SET 中加上 plan_arrival_date 同步\n pd.plan_arrival_date = po.plan_arrival_date,\n```\n\n---\n\n汇总一下你到目前为止的更新清单：\n\n| 序号 | 表 | 日期源字段 |\n|------|-----|-----------|\n| 1 | `dmp_serp.dmp_om_order` | `om_orderdate` |\n| 2 | `dmp_serp.dmp_om_productinfo` | 关联主表 `om_orderdate` |\n| 3 | `dmp_spom.dmp_mrp_main_plan_task` | `plan_start_time` |\n| 4 | `dmp_serp.dmp_mc_purchase_order` | `order_date` |\n| 5 | `dmp_serp.dmp_mc_purchase_order_detail` | 关联主表 `order_date` |\n\n还有其他表要处理吗？一次性都帮你搞定 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":537,"output":666,"cacheRead":28160,"cacheWrite":0,"totalTokens":29363,"cost":{"input":0.0005369999999999999,"output":0.0013319999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0018689999999999998}},"stopReason":"stop","timestamp":1784109737239,"responseId":"4b7762d3-e202-4784-90ea-1934b8437ee9"},{"role":"user","content":"采购到货\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 14:59:11', update_time = '2026-01-22 14:59:11' where ecid = 'hsjm' and arrival_no = 'PAD2026000001';\n\n\n把 时间等于送货时间。\n-- 采购到货主表\n\n\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\n\n把 时间等于送货时间。\n-- 采购到货明细","timestamp":1784109773108,"idempotencyKey":"c1f0893e-59e7-4e66-8ebf-c96466a88991:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `ship_date`（送货时间/发货时间）。\n\n## 采购到货主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购到货明细表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival_detail ad\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON ad.ecid = a.ecid AND ad.arrival_no = a.arrival_no\nSET \n ad.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n ad.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ad.ecid = 'hsjm';\n```\n\n不过我看你的例子里，`ship_date` 和 `arrival_date` 都是 `'2026-01-22'`（同一天）。你说\"时间等于**送货时间**\"，那就是用 `ship_date` 作为日期源，没错吧？还是说你想用 `arrival_date`（到货时间）？\n\n---\n\n## 📋 完整更新清单（截至目前）\n\n| 序号 | 表 | 数据库 | 日期源字段 | 关联方式 |\n|------|-----|--------|-----------|---------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 直接更新 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate` | JOIN 主表 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 直接更新 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 直接更新 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date` | JOIN 主表 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 直接更新 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date` | JOIN 主表 |\n\n还继续有吗？一次性整完 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":427,"output":719,"cacheRead":29312,"cacheWrite":0,"totalTokens":30458,"cost":{"input":0.00042699999999999997,"output":0.001438,"cacheRead":0,"cacheWrite":0,"total":0.001865}},"stopReason":"stop","timestamp":1784109773806,"responseId":"8409c206-8436-4c31-93df-a6c9c78ea7a5"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验","timestamp":1784109808938,"idempotencyKey":"4b7a78ce-766c-439b-8784-ec9eef3f92ac:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**来料检验表**，需要关联**采购到货单**获取 `ship_date`。\n\n关联关系：`qc_task_inspect` 通过某个字段关联到采购到货单？我先看看常见关联方式——通常来料检验单会记录 `arrival_no`（到货单号）和 `ecid`。\n\n如果 `qc_task_inspect` 里有 `arrival_no` 字段，关联到 `dmp_mc_purchase_arrival`：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect qi\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON qi.ecid = a.ecid AND qi.arrival_no = a.arrival_no\nSET \n qi.insp_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.insp_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE qi.ecid = 'hsjm';\n```\n\n不过我需要确认一下——`qc_task_inspect` 里**关联采购到货单的字段名是什么**？常见的有：\n- `arrival_no` — 到货单号\n- `src_bill_no` — 来源单据号\n\n你能看看表结构确认一下关联字段吗？或者直接告诉我 `qc_task_inspect` 里哪个字段存的是到货单号就行。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":317,"output":444,"cacheRead":30336,"cacheWrite":0,"totalTokens":31097,"cost":{"input":0.000317,"output":0.000888,"cacheRead":0,"cacheWrite":0,"total":0.001205}},"stopReason":"stop","timestamp":1784109809545,"responseId":"a97cc980-d1b1-4640-9631-1a5bc07b2155"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验 只有主表","timestamp":1784109834801,"idempotencyKey":"1b1a78a5-b104-491c-8c1a-3388b55520a1:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"只有主表，没有关联明细。那 `qc_task_inspect` 直接用某个字段关联到采购到货单获取 `ship_date`。我需要先看看这个表里有什么关联字段。\n\n让我查一下表结构："},{"type":"toolCall","id":"call00zNFXflO9uvHF88gvemNV1946","name":"exec","arguments":{"command":"mysql -u root -p'YourPassword' -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null || echo \"NEED_PASSWORD\""},"partialArgs":"{\"command\": \"mysql -u root -p'YourPassword' -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null || echo \\\"NEED_PASSWORD\\\"\"}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":320,"output":127,"cacheRead":30976,"cacheWrite":0,"totalTokens":31423,"cost":{"input":0.00031999999999999997,"output":0.000254,"cacheRead":0,"cacheWrite":0,"total":0.000574}},"stopReason":"toolUse","timestamp":1784109835616,"responseId":"6d7b9ef4-7af8-4b71-a201-06dba58c46a8"},{"role":"toolResult","toolCallId":"call00zNFXflO9uvHF88gvemNV1946","toolName":"exec","content":[{"type":"text","text":"NEED_PASSWORD"}],"isError":false,"timestamp":1784109838817},{"role":"assistant","content":[{"type":"toolCall","id":"call00PIuYMg0px60fCGWCIhay2037","name":"exec","arguments":{"command":"mysql -u root -p -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null | head -50","timeout":10},"partialArgs":"{\"command\": \"mysql -u root -p -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null | head -50\", \"timeout\": 10}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":79,"output":90,"cacheRead":31360,"cacheWrite":0,"totalTokens":31529,"cost":{"input":0.000079,"output":0.00017999999999999998,"cacheRead":0,"cacheWrite":0,"total":0.000259}},"stopReason":"toolUse","timestamp":1784109838831,"responseId":"1ac67ea0-15ab-4d4d-8d1a-bec64bd8a1be"},{"role":"toolResult","toolCallId":"call00PIuYMg0px60fCGWCIhay2037","toolName":"exec","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1784109840424},{"role":"assistant","content":[{"type":"text","text":"没有直连数据库的权限，没关系。你看看 `qc_task_inspect` 表里有什么字段可以用来关联到采购到货单？比如：\n\n- `arrival_no`（到货单号）\n- `src_bill_no` / `source_no`（来源单号）\n- `order_no`（采购订单号）\n- 或者其它什么字段？\n\n你告诉我关联字段名，我就能直接写出完整的 SQL 了。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":55,"output":92,"cacheRead":31488,"cacheWrite":0,"totalTokens":31635,"cost":{"input":0.000054999999999999995,"output":0.000184,"cacheRead":0,"cacheWrite":0,"total":0.000239}},"stopReason":"stop","timestamp":1784109840437,"responseId":"e2a7cf1e-c246-4d51-b8a5-498bd181dfce"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验\n-- 批量更新 dmp_smes.qc_task_inspect 的 create_time update_time中的日期部分为 对应insp_time","timestamp":1784109869504,"idempotencyKey":"31a50ea4-daa6-44a6-b525-6e085ebd2335:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"啊，看明白了！你的意思是 **直接用 `insp_time` 作为日期源**，不需要关联到货单：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单汇总\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|--------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 否 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（关联主表） | 是 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 否 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 否 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（关联主表） | 是 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 否 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（关联主表） | 是 |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | 否 |\n\n还有要处理的表吗？一起搞定 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":242,"output":471,"cacheRead":31616,"cacheWrite":0,"totalTokens":32329,"cost":{"input":0.000242,"output":0.0009419999999999999,"cacheRead":0,"cacheWrite":0,"total":0.001184}},"stopReason":"stop","timestamp":1784109870180,"responseId":"0bddd8b3-54ef-4280-b497-c5f6e7c4c117"}],"imagesCount":0}}
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{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","source":"runtime","type":"model.completed","ts":"2026-07-15T10:05:02.546Z","seq":5,"sourceSeq":68,"sessionId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","sessionKey":"agent:main:dashboard:2fdf88e4-fa3f-46c2-b547-384e2c048b11","runId":"19ea56c9-af6f-4a6e-8331-4c25e67fc817","workspaceDir":"/home/yangxuan/.openclaw/workspace","provider":"deepseek","modelId":"deepseek-v4-flash","modelApi":"openai-completions","data":{"aborted":false,"externalAbort":false,"timedOut":false,"idleTimedOut":false,"timedOutDuringCompaction":false,"timedOutDuringToolExecution":false,"timedOutByRunBudget":false,"promptErrorSource":null,"usage":{"input":229,"output":499,"cacheRead":32256,"total":32984},"promptCache":{"lastCallUsage":{"input":229,"output":499,"cacheRead":32256,"cacheWrite":0,"total":32984},"lastCacheTouchAt":1784109898887},"compactionCount":0,"assistantTexts":["明白了，日期源是 `completed_at`（最后入库时间）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（9个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|:----:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n\n还继续有吗？😄"],"finalPromptText":"update dmp_serp.dmp_im_stock_in set bill_date='2026-01-23',completed_at='2026-01-24 10:33:27', create_time='2026-01-23 09:56:17',update_time='2026-01-24 10:33:27' where stock_in_no='PE2026000002' and ecid ='hsjm';\n把时间等于最后入库时间。\n-- 采购入库主表\n-- 批量更新 dmp_serp.dmp_im_stock_in 的 create_time update_time中的日期部分为 对应的completed_at","messagesSnapshot":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate \n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","timestamp":1784109538113,"idempotencyKey":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"},{"role":"user","content":"保留原时分秒，只改日期部分\nUPDATE dmp_spom.dmp_mrp_main_plan_task SET plan_start_time='2026-07-07 11:03:04',create_time='2026-07-07 10:58:04',update_time='2026-07-07 11:03:04' WHERE ecid='kanda' AND plan_no='PLAN2026071414255193535522';\n-- 物料计划主表\n-- 批量更新 dmp_spom.dmp_mrp_main_plan_task 的 create_time update_time中的日期部分为 对应的plan_start_time","timestamp":1784109596434,"idempotencyKey":"7c28a842-8a9f-4cc4-9094-1298d4ce1a5c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**物料计划主表 `dmp_mrp_main_plan_task`**，要把 `create_time` 和 `update_time` 的日期部分改为对应的 `plan_start_time`，保留原时分秒。\n\n## 更新脚本\n\n```sql\nUPDATE dmp_spom.dmp_mrp_main_plan_task\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'kanda';\n```\n\n范围条件？我看你前面说的是\"计划开始时间是7月份的数据\"，但 `plan_start_time` 看样例已经是 7 月份。你对范围有要求吗？比如：\n\n```sql\n-- 如果只要 plan_start_time 在7月份的数据\nAND plan_start_time >= '2026-07-01' AND plan_start_time < '2026-08-01'\n\n-- 或者只要 plan_start_time 日期和 create_time 日期不一致的（避免无意义更新）\nAND DATE(plan_start_time) != DATE(create_time)\n```\n\n需要加范围条件吗？还是直接全量更新 `ecid = 'kanda'` 的所有记录？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":1021,"output":340,"cacheRead":26880,"cacheWrite":0,"totalTokens":28241,"cost":{"input":0.001021,"output":0.0006799999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0017009999999999998}},"stopReason":"stop","timestamp":1784109597165,"responseId":"3546056a-f6d1-4805-b0d2-e4d5739d2293"},{"role":"user","content":"采购订单\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37' where ecid = 'hsjm' and order_no ='PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 16:10:47', update_time ='2026-01-12 16:10:47' where ecid = 'hsjm' and order_no ='PO2026000002';\n把 时间等于下单时间。\n-- 采购订单\n-- 批量更新 dmp_serp.dmp_mc_purchase_order 的 create_time update_time中的日期部分为 对应的order_date\n\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\n把 时间等于下单时间。\n\n-- 采购明细表\n-- 批量更新 dmp_serp.dmp_mc_purchase_order_detail 的 create_time update_time中的日期部分为 对应的order_date","timestamp":1784109736511,"idempotencyKey":"dea79fe3-9e82-4fcc-932b-78fe7ffb7ea2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，两个表一起处理，都是**采购订单**相关，用 `order_date` 作为日期源。\n\n## 采购订单主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购订单明细表\n\n明细表需要通过 `order_no` 和 `ecid` 关联主表获取 `order_date`：\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order_detail pd\nJOIN dmp_serp.dmp_mc_purchase_order po \n ON pd.ecid = po.ecid AND pd.order_no = po.order_no\nSET \n pd.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pd.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE pd.ecid = 'hsjm';\n```\n\n同样你提到的 **plan_arrival_date**——明细表里也有这个字段，看你样例里也在改它。但你的需求描述里只提了 `create_time` 和 `update_time`，`plan_arrival_date` 是否需要基于主表的 `plan_arrival_date` 同步更新？如果需要，可以加上：\n\n```sql\n-- 在明细表的 SET 中加上 plan_arrival_date 同步\n pd.plan_arrival_date = po.plan_arrival_date,\n```\n\n---\n\n汇总一下你到目前为止的更新清单：\n\n| 序号 | 表 | 日期源字段 |\n|------|-----|-----------|\n| 1 | `dmp_serp.dmp_om_order` | `om_orderdate` |\n| 2 | `dmp_serp.dmp_om_productinfo` | 关联主表 `om_orderdate` |\n| 3 | `dmp_spom.dmp_mrp_main_plan_task` | `plan_start_time` |\n| 4 | `dmp_serp.dmp_mc_purchase_order` | `order_date` |\n| 5 | `dmp_serp.dmp_mc_purchase_order_detail` | 关联主表 `order_date` |\n\n还有其他表要处理吗？一次性都帮你搞定 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":537,"output":666,"cacheRead":28160,"cacheWrite":0,"totalTokens":29363,"cost":{"input":0.0005369999999999999,"output":0.0013319999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0018689999999999998}},"stopReason":"stop","timestamp":1784109737239,"responseId":"4b7762d3-e202-4784-90ea-1934b8437ee9"},{"role":"user","content":"采购到货\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 14:59:11', update_time = '2026-01-22 14:59:11' where ecid = 'hsjm' and arrival_no = 'PAD2026000001';\n\n\n把 时间等于送货时间。\n-- 采购到货主表\n\n\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\n\n把 时间等于送货时间。\n-- 采购到货明细","timestamp":1784109773108,"idempotencyKey":"c1f0893e-59e7-4e66-8ebf-c96466a88991:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `ship_date`（送货时间/发货时间）。\n\n## 采购到货主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购到货明细表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival_detail ad\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON ad.ecid = a.ecid AND ad.arrival_no = a.arrival_no\nSET \n ad.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n ad.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ad.ecid = 'hsjm';\n```\n\n不过我看你的例子里，`ship_date` 和 `arrival_date` 都是 `'2026-01-22'`（同一天）。你说\"时间等于**送货时间**\"，那就是用 `ship_date` 作为日期源，没错吧？还是说你想用 `arrival_date`（到货时间）？\n\n---\n\n## 📋 完整更新清单（截至目前）\n\n| 序号 | 表 | 数据库 | 日期源字段 | 关联方式 |\n|------|-----|--------|-----------|---------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 直接更新 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate` | JOIN 主表 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 直接更新 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 直接更新 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date` | JOIN 主表 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 直接更新 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date` | JOIN 主表 |\n\n还继续有吗？一次性整完 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":427,"output":719,"cacheRead":29312,"cacheWrite":0,"totalTokens":30458,"cost":{"input":0.00042699999999999997,"output":0.001438,"cacheRead":0,"cacheWrite":0,"total":0.001865}},"stopReason":"stop","timestamp":1784109773806,"responseId":"8409c206-8436-4c31-93df-a6c9c78ea7a5"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验","timestamp":1784109808938,"idempotencyKey":"4b7a78ce-766c-439b-8784-ec9eef3f92ac:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**来料检验表**，需要关联**采购到货单**获取 `ship_date`。\n\n关联关系：`qc_task_inspect` 通过某个字段关联到采购到货单？我先看看常见关联方式——通常来料检验单会记录 `arrival_no`（到货单号）和 `ecid`。\n\n如果 `qc_task_inspect` 里有 `arrival_no` 字段，关联到 `dmp_mc_purchase_arrival`：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect qi\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON qi.ecid = a.ecid AND qi.arrival_no = a.arrival_no\nSET \n qi.insp_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.insp_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE qi.ecid = 'hsjm';\n```\n\n不过我需要确认一下——`qc_task_inspect` 里**关联采购到货单的字段名是什么**？常见的有：\n- `arrival_no` — 到货单号\n- `src_bill_no` — 来源单据号\n\n你能看看表结构确认一下关联字段吗？或者直接告诉我 `qc_task_inspect` 里哪个字段存的是到货单号就行。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":317,"output":444,"cacheRead":30336,"cacheWrite":0,"totalTokens":31097,"cost":{"input":0.000317,"output":0.000888,"cacheRead":0,"cacheWrite":0,"total":0.001205}},"stopReason":"stop","timestamp":1784109809545,"responseId":"a97cc980-d1b1-4640-9631-1a5bc07b2155"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验 只有主表","timestamp":1784109834801,"idempotencyKey":"1b1a78a5-b104-491c-8c1a-3388b55520a1:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"只有主表，没有关联明细。那 `qc_task_inspect` 直接用某个字段关联到采购到货单获取 `ship_date`。我需要先看看这个表里有什么关联字段。\n\n让我查一下表结构："},{"type":"toolCall","id":"call00zNFXflO9uvHF88gvemNV1946","name":"exec","arguments":{"command":"mysql -u root -p'YourPassword' -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null || echo \"NEED_PASSWORD\""},"partialArgs":"{\"command\": \"mysql -u root -p'YourPassword' -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null || echo \\\"NEED_PASSWORD\\\"\"}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":320,"output":127,"cacheRead":30976,"cacheWrite":0,"totalTokens":31423,"cost":{"input":0.00031999999999999997,"output":0.000254,"cacheRead":0,"cacheWrite":0,"total":0.000574}},"stopReason":"toolUse","timestamp":1784109835616,"responseId":"6d7b9ef4-7af8-4b71-a201-06dba58c46a8"},{"role":"toolResult","toolCallId":"call00zNFXflO9uvHF88gvemNV1946","toolName":"exec","content":[{"type":"text","text":"NEED_PASSWORD"}],"isError":false,"timestamp":1784109838817},{"role":"assistant","content":[{"type":"toolCall","id":"call00PIuYMg0px60fCGWCIhay2037","name":"exec","arguments":{"command":"mysql -u root -p -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null | head -50","timeout":10},"partialArgs":"{\"command\": \"mysql -u root -p -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null | head -50\", \"timeout\": 10}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":79,"output":90,"cacheRead":31360,"cacheWrite":0,"totalTokens":31529,"cost":{"input":0.000079,"output":0.00017999999999999998,"cacheRead":0,"cacheWrite":0,"total":0.000259}},"stopReason":"toolUse","timestamp":1784109838831,"responseId":"1ac67ea0-15ab-4d4d-8d1a-bec64bd8a1be"},{"role":"toolResult","toolCallId":"call00PIuYMg0px60fCGWCIhay2037","toolName":"exec","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1784109840424},{"role":"assistant","content":[{"type":"text","text":"没有直连数据库的权限，没关系。你看看 `qc_task_inspect` 表里有什么字段可以用来关联到采购到货单？比如：\n\n- `arrival_no`（到货单号）\n- `src_bill_no` / `source_no`（来源单号）\n- `order_no`（采购订单号）\n- 或者其它什么字段？\n\n你告诉我关联字段名，我就能直接写出完整的 SQL 了。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":55,"output":92,"cacheRead":31488,"cacheWrite":0,"totalTokens":31635,"cost":{"input":0.000054999999999999995,"output":0.000184,"cacheRead":0,"cacheWrite":0,"total":0.000239}},"stopReason":"stop","timestamp":1784109840437,"responseId":"e2a7cf1e-c246-4d51-b8a5-498bd181dfce"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验\n-- 批量更新 dmp_smes.qc_task_inspect 的 create_time update_time中的日期部分为 对应insp_time","timestamp":1784109869504,"idempotencyKey":"31a50ea4-daa6-44a6-b525-6e085ebd2335:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"啊，看明白了！你的意思是 **直接用 `insp_time` 作为日期源**，不需要关联到货单：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单汇总\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|--------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 否 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（关联主表） | 是 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 否 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 否 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（关联主表） | 是 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 否 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（关联主表） | 是 |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | 否 |\n\n还有要处理的表吗？一起搞定 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":242,"output":471,"cacheRead":31616,"cacheWrite":0,"totalTokens":32329,"cost":{"input":0.000242,"output":0.0009419999999999999,"cacheRead":0,"cacheWrite":0,"total":0.001184}},"stopReason":"stop","timestamp":1784109870180,"responseId":"0bddd8b3-54ef-4280-b497-c5f6e7c4c117"},{"role":"user","content":[{"type":"text","text":"update dmp_serp.dmp_im_stock_in set bill_date='2026-01-23',completed_at='2026-01-24 10:33:27', create_time='2026-01-23 09:56:17',update_time='2026-01-24 10:33:27' where stock_in_no='PE2026000002' and ecid ='hsjm';\n把时间等于最后入库时间。\n-- 采购入库主表\n-- 批量更新 dmp_serp.dmp_im_stock_in 的 create_time update_time中的日期部分为 对应的completed_at"}],"timestamp":1784109898859},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `completed_at`（最后入库时间）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（9个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|:----:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n\n还继续有吗？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":229,"output":499,"cacheRead":32256,"cacheWrite":0,"totalTokens":32984,"cost":{"input":0.00022899999999999998,"output":0.000998,"cacheRead":0,"cacheWrite":0,"total":0.001227}},"stopReason":"stop","timestamp":1784109898887,"responseId":"4df6ab45-0f41-4730-9b14-34965a8d2fc5"}]}}
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{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","source":"runtime","type":"trace.artifacts","ts":"2026-07-15T10:05:02.568Z","seq":6,"sourceSeq":69,"sessionId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","sessionKey":"agent:main:dashboard:2fdf88e4-fa3f-46c2-b547-384e2c048b11","runId":"19ea56c9-af6f-4a6e-8331-4c25e67fc817","workspaceDir":"/home/yangxuan/.openclaw/workspace","provider":"deepseek","modelId":"deepseek-v4-flash","modelApi":"openai-completions","data":{"capturedAt":"2026-07-15T10:05:02.568Z","finalStatus":"success","aborted":false,"externalAbort":false,"timedOut":false,"idleTimedOut":false,"timedOutDuringCompaction":false,"timedOutDuringToolExecution":false,"timedOutByRunBudget":false,"promptErrorSource":null,"usage":{"input":229,"output":499,"cacheRead":32256,"total":32984},"promptCache":{"lastCallUsage":{"input":229,"output":499,"cacheRead":32256,"cacheWrite":0,"total":32984},"lastCacheTouchAt":1784109898887},"compactionCount":0,"assistantTexts":["明白了，日期源是 `completed_at`（最后入库时间）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（9个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|:----:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n\n还继续有吗？😄"],"finalPromptText":"update dmp_serp.dmp_im_stock_in set bill_date='2026-01-23',completed_at='2026-01-24 10:33:27', create_time='2026-01-23 09:56:17',update_time='2026-01-24 10:33:27' where stock_in_no='PE2026000002' and ecid ='hsjm';\n把时间等于最后入库时间。\n-- 采购入库主表\n-- 批量更新 dmp_serp.dmp_im_stock_in 的 create_time update_time中的日期部分为 对应的completed_at","itemLifecycle":{"startedCount":0,"completedCount":0,"activeCount":0},"toolMetas":[],"didSendViaMessagingTool":false,"successfulCronAdds":0,"messagingToolSentTexts":[],"messagingToolSentMediaUrls":[],"messagingToolSentTargets":[]}}
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Use when editing or reviewing\ntext to make it sound more natural and human-written. Based on Wikipedia's\ncomprehensive \"Signs of AI writing\" guide. Detects and fixes patterns including:\ninflated symbolism, promotional language, superficial -ing analyses, vague\nattributions, em dash overuse, rule of three, AI vocabulary words, negative\nparallelisms, and excessive conjunctive phrases.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"imap-smtp-email","name":"imap-smtp-email","description":"Read and send email via IMAP/SMTP. Check for new/unread messages, fetch content, search mailboxes, mark as read/unread, and send emails with attachments. Supports multiple accounts. Works with any IMAP/SMTP server including Gmail, Outlook, 163.com, vip.163.com, 126.com, vip.126.com, 188.com, and vip.188.com.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"meme-maker","name":"meme-maker","description":"Search meme templates, suggest formats, and generate local or hosted image memes.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"multi-search-engine","name":"multi-search-engine","description":"Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"MySQL","name":"MySQL","description":"Write correct MySQL queries with proper character sets, indexing, transactions, and production patterns.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"news-summary","name":"news-summary","description":"This skill should be used when the user asks for news updates, daily briefings, or what's happening in the world. Fetches news from trusted international RSS feeds and can create voice summaries.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"node-connect","name":"node-connect","description":"Diagnose OpenClaw Android, iOS, or macOS node pairing, QR/setup code, route, auth, and connection failures.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"node-inspect-debugger","name":"node-inspect-debugger","description":"Debug Node.js with node inspect, --inspect, breakpoints, CDP, heap, and CPU profiles.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"obsidian-official-cli","name":"obsidian-official-cli","description":"Work with Obsidian vaults using the official Obsidian CLI (v1.12+). Open, search, create, move, and manage notes from the terminal. Use when working with Obsidian vaults for note management, file operations, searching content, managing tasks, properties, links, plugins, themes, sync operations, or any command-line interaction with Obsidian.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"opencode-controller","name":"opencode-controller","description":"Control and operate Opencode via slash commands. Use this skill to manage sessions, select models, switch agents (plan/build), and coordinate coding through Opencode.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"openspec","name":"openspec","description":"Spec-driven development with OpenSpec CLI. Use when building features, migrations, refactors, or any structured development work. Manages proposal → specs → design → tasks → implementation workflows. Supports custom schemas (TDD, rapid, etc.). Trigger on requests involving feature planning, spec writing, change management, or when /opsx commands are mentioned.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/openspec/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/openspec","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/openspec","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/openspec/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"python-debugpy","name":"python-debugpy","description":"Debug Python with pdb, breakpoint(), post-mortem inspection, and debugpy remote attach.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"qiushi-openclaw-skills","name":"qiushi-openclaw-skills","description":"求是 OpenClaw Skills 是基于毛泽东思想方法论的 AI Agent 技能集合，按照 OpenClaw 技能格式进行改造，旨在为 AI 提供系统化的思考和行动框架。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"requirements-analyst","name":"requirements-analyst","description":"将产品需求转化为前后端可执行的技术规范，输出离线性优先的结构化文档。当用户提出产品需求、PRD、功能描述或模糊想法时自动触发。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"rss-ai-reader","name":"rss-ai-reader","description":"📰 RSS AI 阅读器 — 自动抓取订阅、LLM生成摘要、多渠道推送！\n支持 Claude/OpenAI 生成中文摘要，推送到飞书/Telegram/Email。\n触发条件: 用户要求订阅RSS、监控博客、抓取新闻、生成摘要、设置定时抓取、\n\"帮我订阅\"、\"监控这个网站\"、\"每天推送新闻\"、RSS/Atom feed 相关。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"skill-creator","name":"skill-creator","description":"Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"spike","name":"spike","description":"Run throwaway prototypes to validate feasibility, compare approaches, and report a verdict.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"Spreadsheet & Data Wrangling Master","name":"Spreadsheet & Data Wrangling Master","description":"Complete spreadsheet methodology — data cleanup, transformation, analysis, dashboards, automation, and reporting. Works with CSV, Excel, Google Sheets, or any tabular data. Use when the user needs to clean messy data, build reports, create dashboards, automate recurring spreadsheet tasks, or transform data between formats.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"sql-toolkit","name":"sql-toolkit","description":"Query, design, migrate, and optimize SQL databases. Use when working with SQLite, PostgreSQL, or MySQL — schema design, writing queries, creating migrations, indexing, backup/restore, and debugging slow queries. No ORMs required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"taskflow","name":"taskflow","description":"Coordinate multi-step detached tasks as one durable TaskFlow job with owner context, state, waits, and child tasks.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"taskflow-inbox-triage","name":"taskflow-inbox-triage","description":"Example TaskFlow pattern for inbox triage, intent routing, waiting on replies, and later summaries.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"using-superpowers","name":"using-superpowers","description":"Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"weather","name":"weather","description":"Get current weather and forecasts (no API key required).","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/weather/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/weather","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/weather","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/weather/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"web-search","name":"web-search","description":"This skill should be used when users need to search the web for information, find current content, look up news articles, search for images, or find videos. It uses a self-hosted SearXNG instance to return results in clean, formatted output (text, markdown, or JSON). Use for research, fact-checking, finding recent information, or gathering web resources.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/web-search/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/web-search","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/web-search","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/web-search/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true}]},"prompting":{"skillsPrompt":"\n\nThe following skills provide specialized instructions for specific tasks.\nUse the read tool to load a skill's file when the task matches its description.\nIf a skill's <version> differs from a previous turn, re-read its SKILL.md before using it.\nWhen a skill file references a relative path, resolve it against the skill directory (parent of SKILL.md / dirname of the path) and use that absolute path in tool commands.\n\n<available_skills>\n <skill>\n <name>agent-browser</name>\n <description>Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection</description>\n <location>~/.openclaw/workspace/skills/agent-browser-clawdbot/SKILL.md</location>\n <version>sha256:9643b9c65476eedd</version>\n </skill>\n <skill>\n <name>chinese-calendar</name>\n <description>获取中国日历信息，包括节假日、调休安排、工作日判断。使用 timor.tech API，数据每年自动更新。Use when: 需要判断某天是否是工作日、查询节假日安排、了解调休情况。</description>\n <location>~/.openclaw/workspace/skills/chinese-calendar/SKILL.md</location>\n <version>sha256:40a9ba942647e641</version>\n </skill>\n <skill>\n <name>clawhub</name>\n <description>Search ClawHub for skills when a requested capability is not already available; install, verify, update, publish, or sync skills.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/clawhub/SKILL.md</location>\n <version>sha256:6bb70d95cbd1a545</version>\n </skill>\n <skill>\n <name>Code</name>\n <description>Coding workflow with planning, implementation, verification, and testing for clean software development.</description>\n <location>~/.openclaw/workspace/skills/openclaw-code/SKILL.md</location>\n <version>sha256:f09694134cc55cc0</version>\n </skill>\n <skill>\n <name>database-admin</name>\n <description>Comprehensive database administration, schema management, data operations, and optimization. Use when Codex needs to: (1) Create or modify database tables with proper indexing, (2) Perform bulk data insertions with type safety and constraint handling, (3) Execute complex queries with JOINs, aggregations, and subqueries, (4) Optimize query performance through indexing and execution plan analysis, (5) Manage database backups, restores, and migrations, (6) Handle special data types (BIGINT, UUID, JSONB, enums), (7) Implement transactional safety with ACID compliance, or (8) Debug and resolve database errors including constraint violations, type mismatches, and foreign key issues</description>\n <location>~/.openclaw/workspace/skills/database-admin/SKILL.md</location>\n <version>sha256:7649e43727f2fb8b</version>\n </skill>\n <skill>\n <name>database-schema-designer</name>\n <description>Database Schema Designer</description>\n <location>~/.openclaw/workspace/skills/database-schema-designer/SKILL.md</location>\n <version>sha256:3f2282ec8135dfdf</version>\n </skill>\n <skill>\n <name>db-query</name>\n <description>Query project databases with automatic SSH tunnel management. Use when you need to execute SQL queries against configured databases, especially those accessible only via SSH tunnels. Automatically manages SSH connection lifecycle (establishes tunnel before query, closes after). Supports multiple databases distinguished by description/name from config file.</description>\n <location>~/.openclaw/workspace/skills/db-query/SKILL.md</location>\n <version>sha256:eaffe1e617f2b8f2</version>\n </skill>\n <skill>\n <name>db-schema</name>\n <description>Generate database schemas, migrations, and ERD diagrams from plain English descriptions — supports PostgreSQL, MySQL, SQLite, and MongoDB with proper indexes and constraints.</description>\n <location>~/.openclaw/workspace/skills/db-schema-gen/SKILL.md</location>\n <version>sha256:c511ce8bb306f227</version>\n </skill>\n <skill>\n <name>deep-research-pro</name>\n <description>Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.</description>\n <location>~/.openclaw/workspace/skills/deep-research-pro/SKILL.md</location>\n <version>sha256:a780f8bbec442198</version>\n </skill>\n <skill>\n <name>diagram-maker</name>\n <description>Create SVG/HTML or Excalidraw diagrams for concepts, architecture, flows, and whiteboards.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker/SKILL.md</location>\n <version>sha256:6195e03fcb04a1a6</version>\n </skill>\n <skill>\n <name>dingtalk-channel-rules</name>\n <description>钉钉会话输出规则。在钉钉会话中始终生效。</description>\n <location>~/.openclaw/plugin-skills/dingtalk-channel-rules/SKILL.md</location>\n <version>sha256:4abd7ff39fd8ab23</version>\n </skill>\n <skill>\n <name>dingtalk-troubleshoot</name>\n <description>钉钉连接器问题排查。包含 dws CLI 常见错误处理、授权问题排查和连接故障诊断。\n当 dws 命令执行失败、授权异常、连接中断时自动激活。</description>\n <location>~/.openclaw/plugin-skills/dingtalk-troubleshoot/SKILL.md</location>\n <version>sha256:831e1260e77bcf9b</version>\n </skill>\n <skill>\n <name>docker-essentials</name>\n <description>Essential Docker commands and workflows for container management, image operations, and debugging.</description>\n <location>~/.openclaw/workspace/skills/docker-essentials/SKILL.md</location>\n <version>sha256:bf8120febd5275b0</version>\n </skill>\n <skill>\n <name>dws</name>\n <description>管理钉钉产品能力(AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/开放平台文档/钉钉文档/钉钉云盘/AI听记/邮箱/在线电子表格/知识库等)。当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报（钉钉日志模版）、读写钉钉文档、上传下载云盘文件、查询听记纪要、收发邮件、读写在线电子表格(axls)、管理钉钉知识库时使用。</description>\n <location>~/.openclaw/skills/dws/SKILL.md</location>\n <version>sha256:25f131a2e41eeeca</version>\n </skill>\n <skill>\n <name>dws-cli</name>\n <description>在钉钉会话中通过 dws CLI 管理钉钉产品能力（AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/工作台等）。\n当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报时使用。</description>\n <location>~/.openclaw/plugin-skills/dws-cli/SKILL.md</location>\n <version>sha256:e1e0cb89e56c9a8d</version>\n </skill>\n <skill>\n <name>healthcheck</name>\n <description>Audit/harden OpenClaw hosts: SSH, firewall, updates, exposure, backups, disk encryption, gateway security.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck/SKILL.md</location>\n <version>sha256:518ec6e0482cf1c7</version>\n </skill>\n <skill>\n <name>humanizer</name>\n <description>Remove signs of AI-generated writing from text. Use when editing or reviewing\ntext to make it sound more natural and human-written. Based on Wikipedia's\ncomprehensive "Signs of AI writing" guide. Detects and fixes patterns including:\ninflated symbolism, promotional language, superficial -ing analyses, vague\nattributions, em dash overuse, rule of three, AI vocabulary words, negative\nparallelisms, and excessive conjunctive phrases.</description>\n <location>~/.openclaw/workspace/skills/humanizer/SKILL.md</location>\n <version>sha256:d7ce483d368e4301</version>\n </skill>\n <skill>\n <name>imap-smtp-email</name>\n <description>Read and send email via IMAP/SMTP. Check for new/unread messages, fetch content, search mailboxes, mark as read/unread, and send emails with attachments. Supports multiple accounts. Works with any IMAP/SMTP server including Gmail, Outlook, 163.com, vip.163.com, 126.com, vip.126.com, 188.com, and vip.188.com.</description>\n <location>~/.openclaw/workspace/skills/imap-smtp-email/SKILL.md</location>\n <version>sha256:01345a894f2863a4</version>\n </skill>\n <skill>\n <name>meme-maker</name>\n <description>Search meme templates, suggest formats, and generate local or hosted image memes.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md</location>\n <version>sha256:8b8832f9f0f58b16</version>\n </skill>\n <skill>\n <name>multi-search-engine</name>\n <description>Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required.</description>\n <location>~/.openclaw/workspace/skills/multi-search-engine/SKILL.md</location>\n <version>sha256:ef2d2706e82ad0fc</version>\n </skill>\n <skill>\n <name>MySQL</name>\n <description>Write correct MySQL queries with proper character sets, indexing, transactions, and production patterns.</description>\n <location>~/.openclaw/workspace/skills/MySQL/SKILL.md</location>\n <version>sha256:97003e1d9502f459</version>\n </skill>\n <skill>\n <name>news-summary</name>\n <description>This skill should be used when the user asks for news updates, daily briefings, or what's happening in the world. Fetches news from trusted international RSS feeds and can create voice summaries.</description>\n <location>~/.openclaw/workspace/skills/news-summary/SKILL.md</location>\n <version>sha256:1b4c45b56f567567</version>\n </skill>\n <skill>\n <name>node-connect</name>\n <description>Diagnose OpenClaw Android, iOS, or macOS node pairing, QR/setup code, route, auth, and connection failures.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md</location>\n <version>sha256:cc39026fd84e5cfa</version>\n </skill>\n <skill>\n <name>node-inspect-debugger</name>\n <description>Debug Node.js with node inspect, --inspect, breakpoints, CDP, heap, and CPU profiles.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md</location>\n <version>sha256:50d2f6828eaf4bbf</version>\n </skill>\n <skill>\n <name>obsidian-official-cli</name>\n <description>Work with Obsidian vaults using the official Obsidian CLI (v1.12+). Open, search, create, move, and manage notes from the terminal. Use when working with Obsidian vaults for note management, file operations, searching content, managing tasks, properties, links, plugins, themes, sync operations, or any command-line interaction with Obsidian.</description>\n <location>~/.openclaw/workspace/skills/obsidian-official-cli/SKILL.md</location>\n <version>sha256:d9c66873957818a1</version>\n </skill>\n <skill>\n <name>opencode-controller</name>\n <description>Control and operate Opencode via slash commands. Use this skill to manage sessions, select models, switch agents (plan/build), and coordinate coding through Opencode.</description>\n <location>~/.openclaw/workspace/skills/opencode-controller/SKILL.md</location>\n <version>sha256:6535df08ba8b0bbc</version>\n </skill>\n <skill>\n <name>openspec</name>\n <description>Spec-driven development with OpenSpec CLI. Use when building features, migrations, refactors, or any structured development work. Manages proposal → specs → design → tasks → implementation workflows. Supports custom schemas (TDD, rapid, etc.). Trigger on requests involving feature planning, spec writing, change management, or when /opsx commands are mentioned.</description>\n <location>~/.openclaw/workspace/skills/openspec/SKILL.md</location>\n <version>sha256:720f832d1879e281</version>\n </skill>\n <skill>\n <name>python-debugpy</name>\n <description>Debug Python with pdb, breakpoint(), post-mortem inspection, and debugpy remote attach.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md</location>\n <version>sha256:bfb1891204b67260</version>\n </skill>\n <skill>\n <name>qiushi-openclaw-skills</name>\n <description>求是 OpenClaw Skills 是基于毛泽东思想方法论的 AI Agent 技能集合，按照 OpenClaw 技能格式进行改造，旨在为 AI 提供系统化的思考和行动框架。</description>\n <location>~/.openclaw/workspace/skills/qiushi-openclaw-skill/SKILL.md</location>\n <version>sha256:b21d933b7f61584d</version>\n </skill>\n <skill>\n <name>requirements-analyst</name>\n <description>将产品需求转化为前后端可执行的技术规范，输出离线性优先的结构化文档。当用户提出产品需求、PRD、功能描述或模糊想法时自动触发。</description>\n <location>~/.openclaw/workspace/skills/requirements-analyst/SKILL.md</location>\n <version>sha256:f766e6b7b585e7e8</version>\n </skill>\n <skill>\n <name>rss-ai-reader</name>\n <description>📰 RSS AI 阅读器 — 自动抓取订阅、LLM生成摘要、多渠道推送！\n支持 Claude/OpenAI 生成中文摘要，推送到飞书/Telegram/Email。\n触发条件: 用户要求订阅RSS、监控博客、抓取新闻、生成摘要、设置定时抓取、\n"帮我订阅"、"监控这个网站"、"每天推送新闻"、RSS/Atom feed 相关。</description>\n <location>~/.openclaw/workspace/skills/rss-ai-reader/SKILL.md</location>\n <version>sha256:0abcc8438f644cdb</version>\n </skill>\n <skill>\n <name>skill-creator</name>\n <description>Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md</location>\n <version>sha256:d15b25d332d835eb</version>\n </skill>\n <skill>\n <name>spike</name>\n <description>Run throwaway prototypes to validate feasibility, compare approaches, and report a verdict.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md</location>\n <version>sha256:1258cde2d0e53267</version>\n </skill>\n <skill>\n <name>Spreadsheet & Data Wrangling Master</name>\n <description>Complete spreadsheet methodology — data cleanup, transformation, analysis, dashboards, automation, and reporting. Works with CSV, Excel, Google Sheets, or any tabular data. Use when the user needs to clean messy data, build reports, create dashboards, automate recurring spreadsheet tasks, or transform data between formats.</description>\n <location>~/.openclaw/workspace/skills/afrexai-spreadsheet-master/SKILL.md</location>\n <version>sha256:6505a92ae50c1cdd</version>\n </skill>\n <skill>\n <name>sql-toolkit</name>\n <description>Query, design, migrate, and optimize SQL databases. Use when working with SQLite, PostgreSQL, or MySQL — schema design, writing queries, creating migrations, indexing, backup/restore, and debugging slow queries. No ORMs required.</description>\n <location>~/.openclaw/workspace/skills/sql-toolkit/SKILL.md</location>\n <version>sha256:515ecf904449a3cd</version>\n </skill>\n <skill>\n <name>taskflow</name>\n <description>Coordinate multi-step detached tasks as one durable TaskFlow job with owner context, state, waits, and child tasks.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md</location>\n <version>sha256:d8b6a48d329aef0a</version>\n </skill>\n <skill>\n <name>taskflow-inbox-triage</name>\n <description>Example TaskFlow pattern for inbox triage, intent routing, waiting on replies, and later summaries.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md</location>\n <version>sha256:1fe28cd924d8ae2d</version>\n </skill>\n <skill>\n <name>using-superpowers</name>\n <description>Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions</description>\n <location>~/.openclaw/workspace/skills/using-superpowers/SKILL.md</location>\n <version>sha256:81d921b16502091f</version>\n </skill>\n <skill>\n <name>weather</name>\n <description>Get current weather and forecasts (no API key required).</description>\n <location>~/.openclaw/workspace/skills/weather/SKILL.md</location>\n <version>sha256:1ca0c8d768ad603e</version>\n </skill>\n <skill>\n <name>web-search</name>\n <description>This skill should be used when users need to search the web for information, find current content, look up news articles, search for images, or find videos. 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{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","source":"runtime","type":"context.compiled","ts":"2026-07-15T10:05:28.872Z","seq":3,"sourceSeq":73,"sessionId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","sessionKey":"agent:main:dashboard:2fdf88e4-fa3f-46c2-b547-384e2c048b11","runId":"fc11b4ae-ecb7-44e7-b501-01b59e37bf0c","workspaceDir":"/home/yangxuan/.openclaw/workspace","provider":"deepseek","modelId":"deepseek-v4-flash","modelApi":"openai-completions","data":{"systemPrompt":{"truncated":true,"reason":"trajectory-field-size-limit","originalChars":39560,"limitChars":32768},"prompt":"update dmp_serp.dmp_im_stock_in_out_flow_detail set stock_date='2026-01-24',bill_date='2026-01-23',update_time='2026-01-24 09:12:43',create_time='2026-01-23 09:46:37' where flow_no='SIO20260410000001' and ecid ='hsjm';\n\n把时间等于最后入库时间。\n-- 采购出入库记录\n-- 批量更新 dmp_serp.dmp_im_stock_in_out_flow_detail 的 create_time update_time中的日期部分为 对应的stock_date","messages":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate \n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","timestamp":1784109538113,"idempotencyKey":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"},{"role":"user","content":"保留原时分秒，只改日期部分\nUPDATE dmp_spom.dmp_mrp_main_plan_task SET plan_start_time='2026-07-07 11:03:04',create_time='2026-07-07 10:58:04',update_time='2026-07-07 11:03:04' WHERE ecid='kanda' AND plan_no='PLAN2026071414255193535522';\n-- 物料计划主表\n-- 批量更新 dmp_spom.dmp_mrp_main_plan_task 的 create_time update_time中的日期部分为 对应的plan_start_time","timestamp":1784109596434,"idempotencyKey":"7c28a842-8a9f-4cc4-9094-1298d4ce1a5c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**物料计划主表 `dmp_mrp_main_plan_task`**，要把 `create_time` 和 `update_time` 的日期部分改为对应的 `plan_start_time`，保留原时分秒。\n\n## 更新脚本\n\n```sql\nUPDATE dmp_spom.dmp_mrp_main_plan_task\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'kanda';\n```\n\n范围条件？我看你前面说的是\"计划开始时间是7月份的数据\"，但 `plan_start_time` 看样例已经是 7 月份。你对范围有要求吗？比如：\n\n```sql\n-- 如果只要 plan_start_time 在7月份的数据\nAND plan_start_time >= '2026-07-01' AND plan_start_time < '2026-08-01'\n\n-- 或者只要 plan_start_time 日期和 create_time 日期不一致的（避免无意义更新）\nAND DATE(plan_start_time) != DATE(create_time)\n```\n\n需要加范围条件吗？还是直接全量更新 `ecid = 'kanda'` 的所有记录？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":1021,"output":340,"cacheRead":26880,"cacheWrite":0,"totalTokens":28241,"cost":{"input":0.001021,"output":0.0006799999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0017009999999999998}},"stopReason":"stop","timestamp":1784109597165,"responseId":"3546056a-f6d1-4805-b0d2-e4d5739d2293"},{"role":"user","content":"采购订单\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37' where ecid = 'hsjm' and order_no ='PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 16:10:47', update_time ='2026-01-12 16:10:47' where ecid = 'hsjm' and order_no ='PO2026000002';\n把 时间等于下单时间。\n-- 采购订单\n-- 批量更新 dmp_serp.dmp_mc_purchase_order 的 create_time update_time中的日期部分为 对应的order_date\n\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\n把 时间等于下单时间。\n\n-- 采购明细表\n-- 批量更新 dmp_serp.dmp_mc_purchase_order_detail 的 create_time update_time中的日期部分为 对应的order_date","timestamp":1784109736511,"idempotencyKey":"dea79fe3-9e82-4fcc-932b-78fe7ffb7ea2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，两个表一起处理，都是**采购订单**相关，用 `order_date` 作为日期源。\n\n## 采购订单主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购订单明细表\n\n明细表需要通过 `order_no` 和 `ecid` 关联主表获取 `order_date`：\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order_detail pd\nJOIN dmp_serp.dmp_mc_purchase_order po \n ON pd.ecid = po.ecid AND pd.order_no = po.order_no\nSET \n pd.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pd.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE pd.ecid = 'hsjm';\n```\n\n同样你提到的 **plan_arrival_date**——明细表里也有这个字段，看你样例里也在改它。但你的需求描述里只提了 `create_time` 和 `update_time`，`plan_arrival_date` 是否需要基于主表的 `plan_arrival_date` 同步更新？如果需要，可以加上：\n\n```sql\n-- 在明细表的 SET 中加上 plan_arrival_date 同步\n pd.plan_arrival_date = po.plan_arrival_date,\n```\n\n---\n\n汇总一下你到目前为止的更新清单：\n\n| 序号 | 表 | 日期源字段 |\n|------|-----|-----------|\n| 1 | `dmp_serp.dmp_om_order` | `om_orderdate` |\n| 2 | `dmp_serp.dmp_om_productinfo` | 关联主表 `om_orderdate` |\n| 3 | `dmp_spom.dmp_mrp_main_plan_task` | `plan_start_time` |\n| 4 | `dmp_serp.dmp_mc_purchase_order` | `order_date` |\n| 5 | `dmp_serp.dmp_mc_purchase_order_detail` | 关联主表 `order_date` |\n\n还有其他表要处理吗？一次性都帮你搞定 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":537,"output":666,"cacheRead":28160,"cacheWrite":0,"totalTokens":29363,"cost":{"input":0.0005369999999999999,"output":0.0013319999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0018689999999999998}},"stopReason":"stop","timestamp":1784109737239,"responseId":"4b7762d3-e202-4784-90ea-1934b8437ee9"},{"role":"user","content":"采购到货\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 14:59:11', update_time = '2026-01-22 14:59:11' where ecid = 'hsjm' and arrival_no = 'PAD2026000001';\n\n\n把 时间等于送货时间。\n-- 采购到货主表\n\n\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\n\n把 时间等于送货时间。\n-- 采购到货明细","timestamp":1784109773108,"idempotencyKey":"c1f0893e-59e7-4e66-8ebf-c96466a88991:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `ship_date`（送货时间/发货时间）。\n\n## 采购到货主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购到货明细表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival_detail ad\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON ad.ecid = a.ecid AND ad.arrival_no = a.arrival_no\nSET \n ad.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n ad.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ad.ecid = 'hsjm';\n```\n\n不过我看你的例子里，`ship_date` 和 `arrival_date` 都是 `'2026-01-22'`（同一天）。你说\"时间等于**送货时间**\"，那就是用 `ship_date` 作为日期源，没错吧？还是说你想用 `arrival_date`（到货时间）？\n\n---\n\n## 📋 完整更新清单（截至目前）\n\n| 序号 | 表 | 数据库 | 日期源字段 | 关联方式 |\n|------|-----|--------|-----------|---------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 直接更新 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate` | JOIN 主表 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 直接更新 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 直接更新 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date` | JOIN 主表 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 直接更新 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date` | JOIN 主表 |\n\n还继续有吗？一次性整完 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":427,"output":719,"cacheRead":29312,"cacheWrite":0,"totalTokens":30458,"cost":{"input":0.00042699999999999997,"output":0.001438,"cacheRead":0,"cacheWrite":0,"total":0.001865}},"stopReason":"stop","timestamp":1784109773806,"responseId":"8409c206-8436-4c31-93df-a6c9c78ea7a5"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验","timestamp":1784109808938,"idempotencyKey":"4b7a78ce-766c-439b-8784-ec9eef3f92ac:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**来料检验表**，需要关联**采购到货单**获取 `ship_date`。\n\n关联关系：`qc_task_inspect` 通过某个字段关联到采购到货单？我先看看常见关联方式——通常来料检验单会记录 `arrival_no`（到货单号）和 `ecid`。\n\n如果 `qc_task_inspect` 里有 `arrival_no` 字段，关联到 `dmp_mc_purchase_arrival`：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect qi\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON qi.ecid = a.ecid AND qi.arrival_no = a.arrival_no\nSET \n qi.insp_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.insp_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE qi.ecid = 'hsjm';\n```\n\n不过我需要确认一下——`qc_task_inspect` 里**关联采购到货单的字段名是什么**？常见的有：\n- `arrival_no` — 到货单号\n- `src_bill_no` — 来源单据号\n\n你能看看表结构确认一下关联字段吗？或者直接告诉我 `qc_task_inspect` 里哪个字段存的是到货单号就行。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":317,"output":444,"cacheRead":30336,"cacheWrite":0,"totalTokens":31097,"cost":{"input":0.000317,"output":0.000888,"cacheRead":0,"cacheWrite":0,"total":0.001205}},"stopReason":"stop","timestamp":1784109809545,"responseId":"a97cc980-d1b1-4640-9631-1a5bc07b2155"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验 只有主表","timestamp":1784109834801,"idempotencyKey":"1b1a78a5-b104-491c-8c1a-3388b55520a1:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"只有主表，没有关联明细。那 `qc_task_inspect` 直接用某个字段关联到采购到货单获取 `ship_date`。我需要先看看这个表里有什么关联字段。\n\n让我查一下表结构："},{"type":"toolCall","id":"call00zNFXflO9uvHF88gvemNV1946","name":"exec","arguments":{"command":"mysql -u root -p'YourPassword' -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null || echo \"NEED_PASSWORD\""},"partialArgs":"{\"command\": \"mysql -u root -p'YourPassword' -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null || echo \\\"NEED_PASSWORD\\\"\"}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":320,"output":127,"cacheRead":30976,"cacheWrite":0,"totalTokens":31423,"cost":{"input":0.00031999999999999997,"output":0.000254,"cacheRead":0,"cacheWrite":0,"total":0.000574}},"stopReason":"toolUse","timestamp":1784109835616,"responseId":"6d7b9ef4-7af8-4b71-a201-06dba58c46a8"},{"role":"toolResult","toolCallId":"call00zNFXflO9uvHF88gvemNV1946","toolName":"exec","content":[{"type":"text","text":"NEED_PASSWORD"}],"isError":false,"timestamp":1784109838817},{"role":"assistant","content":[{"type":"toolCall","id":"call00PIuYMg0px60fCGWCIhay2037","name":"exec","arguments":{"command":"mysql -u root -p -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null | head -50","timeout":10},"partialArgs":"{\"command\": \"mysql -u root -p -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null | head -50\", \"timeout\": 10}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":79,"output":90,"cacheRead":31360,"cacheWrite":0,"totalTokens":31529,"cost":{"input":0.000079,"output":0.00017999999999999998,"cacheRead":0,"cacheWrite":0,"total":0.000259}},"stopReason":"toolUse","timestamp":1784109838831,"responseId":"1ac67ea0-15ab-4d4d-8d1a-bec64bd8a1be"},{"role":"toolResult","toolCallId":"call00PIuYMg0px60fCGWCIhay2037","toolName":"exec","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1784109840424},{"role":"assistant","content":[{"type":"text","text":"没有直连数据库的权限，没关系。你看看 `qc_task_inspect` 表里有什么字段可以用来关联到采购到货单？比如：\n\n- `arrival_no`（到货单号）\n- `src_bill_no` / `source_no`（来源单号）\n- `order_no`（采购订单号）\n- 或者其它什么字段？\n\n你告诉我关联字段名，我就能直接写出完整的 SQL 了。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":55,"output":92,"cacheRead":31488,"cacheWrite":0,"totalTokens":31635,"cost":{"input":0.000054999999999999995,"output":0.000184,"cacheRead":0,"cacheWrite":0,"total":0.000239}},"stopReason":"stop","timestamp":1784109840437,"responseId":"e2a7cf1e-c246-4d51-b8a5-498bd181dfce"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验\n-- 批量更新 dmp_smes.qc_task_inspect 的 create_time update_time中的日期部分为 对应insp_time","timestamp":1784109869504,"idempotencyKey":"31a50ea4-daa6-44a6-b525-6e085ebd2335:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"啊，看明白了！你的意思是 **直接用 `insp_time` 作为日期源**，不需要关联到货单：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单汇总\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|--------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 否 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（关联主表） | 是 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 否 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 否 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（关联主表） | 是 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 否 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（关联主表） | 是 |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | 否 |\n\n还有要处理的表吗？一起搞定 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":242,"output":471,"cacheRead":31616,"cacheWrite":0,"totalTokens":32329,"cost":{"input":0.000242,"output":0.0009419999999999999,"cacheRead":0,"cacheWrite":0,"total":0.001184}},"stopReason":"stop","timestamp":1784109870180,"responseId":"0bddd8b3-54ef-4280-b497-c5f6e7c4c117"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in set bill_date='2026-01-23',completed_at='2026-01-24 10:33:27', create_time='2026-01-23 09:56:17',update_time='2026-01-24 10:33:27' where stock_in_no='PE2026000002' and ecid ='hsjm';\n把时间等于最后入库时间。\n-- 采购入库主表\n-- 批量更新 dmp_serp.dmp_im_stock_in 的 create_time update_time中的日期部分为 对应的completed_at","timestamp":1784109898245,"idempotencyKey":"19ea56c9-af6f-4a6e-8331-4c25e67fc817:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `completed_at`（最后入库时间）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（9个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|:----:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n\n还继续有吗？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":229,"output":499,"cacheRead":32256,"cacheWrite":0,"totalTokens":32984,"cost":{"input":0.00022899999999999998,"output":0.000998,"cacheRead":0,"cacheWrite":0,"total":0.001227}},"stopReason":"stop","timestamp":1784109898887,"responseId":"4df6ab45-0f41-4730-9b14-34965a8d2fc5"}],"tools":[{"name":"agents_list","description":"List agent ids allowed for `sessions_spawn runtime=\"subagent\"`.","parameters":{"type":"object","properties":{}}},{"name":"apply_patch","description":"Apply a patch to one or more files using the apply_patch format. The input should include *** Begin Patch and *** End Patch markers.","parameters":{"type":"object","required":["input"],"properties":{"input":{"type":"string","description":"Patch content using the *** Begin Patch/End Patch format."}}}},{"name":"create_goal","description":"Create a goal only when explicitly requested by the user or system instructions. Fails if a goal already exists; use user-facing goal controls to clear it.","parameters":{"type":"object","required":["objective"],"properties":{"objective":{"type":"string","description":"Concrete objective to pursue. Create only when explicitly requested."},"token_budget":{"type":"number","description":"Optional positive token budget for this goal."}}}},{"name":"cron","description":"Manage Gateway cron jobs and wake events: reminders, check-back-later, delayed follow-ups, recurring work. Do not emulate scheduling with exec sleep/process polling.\n\nMain cron => system events for heartbeat. Isolated cron => background task in `openclaw tasks`.\n\nACTIONS:\n- status: scheduler status\n- list: compact job summaries; includeDisabled true includes disabled; use get for full job details; agentId filter auto-filled from session\n- get: one job; needs jobId\n- add: create job; needs job object\n- update: patch job; needs jobId + patch\n- remove: delete job; needs jobId\n- run: run only if due by default; needs jobId; pass runMode=\"force\" to trigger now\n- runs: run history; needs jobId\n- wake: send wake event; needs text, optional mode; defaults the target to the calling session/agent. Pass top-level sessionKey/agentId to wake a different lane owned by the calling agent.\n\nJOB SCHEMA (for add action):\n{\n \"name\": \"string\",\n \"schedule\": { ... }, // required\n \"trigger\": { \"script\": \"...\", \"once\": false }, // optional condition gate for every/cron\n \"payload\": { ... }, // required\n \"delivery\": { ... }, // optional announce for isolated/current/session, webhook for any target\n \"sessionTarget\": \"main\" | \"isolated\" | \"current\" | \"session:<id>\",\n \"enabled\": true | false // default true\n}\n\nSESSION TARGET OPTIONS:\n- \"main\": main session; requires payload.kind=\"systemEvent\"\n- \"isolated\": ephemeral isolated session; requires payload.kind=\"agentTurn\"\n- \"current\": bind current session at creation\n- \"session:<id>\": persistent named session\n\nDEFAULTS:\n- payload.kind=\"systemEvent\" → defaults to \"main\"\n- payload.kind=\"agentTurn\" → defaults to \"isolated\"\nCurrent binding needs sessionTarget=\"current\".\n\nSCHEDULE TYPES (schedule.kind):\n- \"at\": one-shot absolute time\n { \"kind\": \"at\", \"at\": \"<ISO-8601 timestamp>\" }\n- \"every\": recurring interval\n { \"kind\": \"every\", \"everyMs\": <ms>, \"anchorMs\": <optional-ms> }\n- \"cron\": expr in supplied timezone, or Gateway host local timezone when tz omitted\n { \"kind\": \"cron\", \"expr\": \"<cron-expression>\", \"tz\": \"<optional-IANA-timezone>\" }\n Write expr in local wall-clock time; do not convert the requested local time to UTC first.\n tz omitted => Gateway host local timezone, not UTC.\n Example 6pm Shanghai daily: { \"kind\": \"cron\", \"expr\": \"0 18 * * *\", \"tz\": \"Asia/Shanghai\" }\n\nOptional trigger scripts poll headlessly on every/cron schedules and run the payload only when they return { fire: true }.\n\nFor \"at\", ISO timestamps without timezone are UTC.\n\nPAYLOAD TYPES (payload.kind):\n- \"systemEvent\": inject text as system event\n { \"kind\": \"systemEvent\", \"text\": \"<message>\" }\n- \"agentTurn\": run agent with prompt; isolated/current/session only\n { \"kind\": \"agentTurn\", \"message\": \"<prompt>\", \"model\": \"<optional>\", \"thinking\": \"<optional>\", \"timeoutSeconds\": <optional, 0=no timeout> }\n\nDELIVERY (top-level):\n { \"mode\": \"none|announce|webhook\", \"channel\": \"<optional>\", \"to\": \"<optional>\", \"threadId\": \"<optional>\", \"bestEffort\": <optional-bool> }\n - isolated agentTurn default when omitted: \"announce\"\n - announce: send to chat channel; isolated/current/session only; optional channel/to\n - threadId: chat thread/topic id\n - webhook: POST finished-run event to delivery.to URL\n - Specific chat/recipient: set announce delivery.channel/to; do not call messaging tools inside run.\n\nCRITICAL CONSTRAINTS:\n- sessionTarget=\"main\" REQUIRES payload.kind=\"systemEvent\"\n- sessionTarget=\"isolated\" | \"current\" | \"session:xxx\" REQUIRES payload.kind=\"agentTurn\"\n- Webhook: delivery.mode=\"webhook\" and delivery.to URL.\nDefault: prefer isolated agentTurn jobs unless the user explicitly wants current-session binding.\n\nRESTRICTED CRON RUNS:\n- Some isolated cron runs get narrow self-cleanup grant: status/list self-only, get/runs current job only, mutation only remove current job.\n\nWAKE MODES (for wake action):\n- \"next-heartbeat\" default: wake next heartbeat\n- \"now\": wake immediately\n\nUse jobId canonical; id accepted compat. contextMessages (0-10) adds previous messages as job context.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"includeDisabled":{"type":"boolean"},"job":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"additionalProperties":true},"jobId":{"type":"string"},"id":{"type":"string"},"patch":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"additionalProperties":true},"text":{"type":"string"},"mode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"runMode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Run mode for action=\"run\": omitted defaults to \"due\"; use \"force\" to trigger now."},"contextMessages":{"type":"integer","minimum":0,"maximum":10},"agentId":{"type":"string","description":"List filter for `action: \"list\"`; wake target override for `action: \"wake\"` (defaults to the calling agent when omitted on wake)"},"sessionKey":{"type":"string","description":"Wake target override for `action: \"wake\"`: route the event to another session owned by the calling agent. Defaults to the resolved calling-session key when omitted."}},"additionalProperties":true}},{"name":"edit","description":"Edit a single file using exact text replacement. Every edits[].oldText must match a unique, non-overlapping region of the original file. If two changes affect the same block or nearby lines, merge them into one edit instead of emitting overlapping edits. Do not include large unchanged regions just to connect distant changes.","parameters":{"type":"object","required":["path","edits"],"properties":{"path":{"type":"string","description":"Path to the file to edit (relative or absolute)"},"edits":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"One or more targeted replacements. Each edit is matched against the original file, not incrementally. Do not include overlapping or nested edits. If two changes touch the same block or nearby lines, merge them into one edit instead."}},"additionalProperties":false}},{"name":"exec","description":"Execute shell commands with background continuation for work that starts now. Use yieldMs/background to continue later via process tool. For long-running work started now, rely on automatic completion wake when it is enabled and the command emits output or fails; otherwise use process to confirm completion. Use process whenever you need logs, status, input, or intervention. Do not use exec sleep or delay loops for reminders or deferred follow-ups; use cron instead. Use pty=true for TTY-required commands (terminal UIs, coding agents).","parameters":{"type":"object","required":["command"],"properties":{"command":{"type":"string","description":"Shell command to execute"},"workdir":{"type":"string","description":"Working directory. Blank/whitespace values are invalid; omit to use the default cwd."},"env":{"type":"object","patternProperties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"yieldMs":{"type":"number","description":"Milliseconds to wait before backgrounding (default 10000)"},"background":{"type":"boolean","description":"Run in background immediately"},"timeout":{"type":"number","description":"Timeout in seconds (optional, kills process on expiry)"},"pty":{"type":"boolean","description":"Run in a pseudo-terminal (PTY) when available (TTY-required CLIs, coding agents)"},"elevated":{"type":"boolean","description":"Run on the host with elevated permissions (if allowed)"},"host":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Exec host/target (auto|sandbox|gateway|node)."},"security":{"type":"string","description":"Ignored for normal calls; exec security is set by tools.exec.security and host approvals."},"ask":{"type":"string","description":"Baseline ask comes from tools.exec.ask and host approvals; channel-origin calls ignore per-call ask when effective host ask is off."},"node":{"type":"string","description":"Node id/name for host=node."}}}},{"name":"gateway","description":"Gateway restart/config/update. Before config edits, use config.schema.lookup with targeted dot path. Prefer config.patch for partial merge; config.apply only full replace. For config.patch that intentionally removes array entries, pass replacePaths with the exact affected array path. Writes hot-reload or restart as needed. Always pass human `note` for post-restart delivery. If post-restart work must continue internally, pass one-shot `continuationMessage`; visible follow-up from that turn must use the message tool. Do not write restart sentinel files directly.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"delayMs":{"type":"integer","minimum":0},"reason":{"type":"string"},"continuationMessage":{"type":"string"},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"path":{"type":"string"},"raw":{"type":"string"},"baseHash":{"type":"string"},"replacePaths":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"maxItems":256},"sessionKey":{"type":"string"},"note":{"type":"string"},"restartDelayMs":{"type":"integer","minimum":0}}}},{"name":"get_goal","description":"Get the current goal for this thread, including status and token usage.","parameters":{"type":"object","properties":{}}},{"name":"image","description":"Analyze images with available vision model. Use image for one path/URL, images for max 20. Prompt says what to inspect.","parameters":{"type":"object","properties":{"prompt":{"type":"string"},"image":{"type":"string","description":"One image path/URL."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Image paths/URLs; maxImages default 20."},"model":{"type":"string"},"maxBytesMb":{"type":"number","exclusiveMinimum":0},"maxImages":{"type":"integer","minimum":1}}}},{"name":"image_generate","description":"Create/edit images. Session chats: background task; do not call image_generate again for same request; wait completion, then report through the current visible-reply contract with generated media attached using structured media fields. Transparent: outputFormat=\"png\" or \"webp\" + background=\"transparent\"; OpenAI also supports openai.background and routes default model to gpt-image-1.5. Use action=\"list\" for providers/models/readiness/auth, \"status\" for active task.","parameters":{"type":"object","properties":{"action":{"type":"string","description":"\"generate\" default, \"status\" active task, \"list\" providers/models."},"prompt":{"type":"string","description":"Image prompt."},"image":{"type":"string","description":"Reference image path/URL for edit."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference images for edit or style reference; max 14."},"model":{"type":"string","description":"Provider/model override, e.g. openai/gpt-image-2; transparent OpenAI: openai/gpt-image-1.5."},"filename":{"type":"string","description":"Output filename hint; basename preserved in managed media dir."},"size":{"type":"string","description":"Size hint: 1024x1024, 1536x1024, 1024x1536, 2048x2048, 3840x2160."},"aspectRatio":{"type":"string","description":"Aspect ratio: 1:1, 2:1, 20:9, 19.5:9, 2:3, 3:2, 2.35:1, 3:4, 4:3, 4:5, 5:4, 9:16, 9:19.5, 9:20, 16:9, 21:9, 1:2, 4:1, 1:4, 8:1, 1:8."},"resolution":{"type":"string","description":"Resolution: 1K, 2K, 4K; useful for Google."},"quality":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Quality: low, medium, high, auto."},"outputFormat":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Output format: png, jpeg, webp."},"background":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Background: transparent, opaque, auto. Transparent needs png/webp output."},"openai":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"fal":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"count":{"type":"integer","description":"Image count 1-4.","minimum":1,"maximum":4},"timeoutMs":{"type":"integer","description":"Provider timeout ms (300000 tends to be a safe amount).","minimum":1}}}},{"name":"memory_get","description":"Safe exact excerpt read from MEMORY.md or memory/*.md. Defaults to a bounded excerpt when lines are omitted, includes truncation/continuation info when more content exists, and `corpus=wiki` reads from registered compiled-wiki supplements.","parameters":{"type":"object","properties":{"path":{"type":"string"},"from":{"type":"integer","minimum":1},"lines":{"type":"integer","minimum":1},"corpus":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}},"required":["path"],"additionalProperties":false}},{"name":"memory_search","description":"Mandatory recall step: semantically search MEMORY.md + memory/*.md (and optional session transcripts) before answering questions about prior work, decisions, dates, people, preferences, or todos. Optional `corpus=wiki` or `corpus=all` also searches registered compiled-wiki supplements. `corpus=memory` restricts hits to indexed memory files (excludes session transcript chunks from ranking). `corpus=sessions` restricts hits to indexed session transcripts (same visibility rules as session history tools). If response has disabled=true, memory retrieval is unavailable and should be surfaced to the user.","parameters":{"type":"object","properties":{"query":{"type":"string"},"maxResults":{"type":"integer","minimum":1},"minScore":{"type":"number"},"corpus":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}},"required":["query"],"additionalProperties":false}},{"name":"message","description":"Send/delete/manage channel messages. Supports actions: send.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"channel":{"type":"string"},"target":{"type":"string","description":"Recipient/channel: E.164 for WhatsApp/Signal, Telegram chat id/@username, Discord/Slack/Mattermost <channelId|user:ID|channel:ID>, or iMessage handle/chat_id"},"targets":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"accountId":{"type":"string"},"dryRun":{"type":"boolean"},"message":{"type":"string"},"effectId":{"type":"string","description":"Effect id/name for sendWithEffect."},"effect":{"type":"string","description":"Alias for effectId."},"media":{"type":"string","description":"Media URL/path. data: use buffer."},"filename":{"type":"string"},"buffer":{"type":"string","description":"Base64 attachment payload; data URL ok."},"contentType":{"type":"string"},"mimeType":{"type":"string"},"caption":{"type":"string"},"attachments":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Structured attachments; each entry uses media."},"replyTo":{"type":"string"},"threadId":{"type":"string"},"asVoice":{"type":"boolean"},"silent":{"type":"boolean"},"quoteText":{"type":"string","description":"Telegram reply quote text."},"gifPlayback":{"type":"boolean"},"forceDocument":{"type":"boolean","description":"Send image/GIF/video as document; avoids compression."},"asDocument":{"type":"boolean","description":"Alias for forceDocument."},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1}}}},{"name":"node_inference","description":"Discover and run chat-capable Ollama models installed on paired desktop/server nodes. Use action=discover first, then action=run with a node and model from that result. Inference stays on the selected node.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"node":{"type":"string","description":"Connected node id or display name. Required when ambiguous."},"model":{"type":"string","description":"Exact local model name returned by discover."},"prompt":{"type":"string","description":"Prompt for action=run."},"system":{"type":"string","description":"Optional system prompt for action=run."},"temperature":{"type":"number","minimum":0,"maximum":2},"maxTokens":{"type":"integer","minimum":1,"maximum":8192},"timeoutMs":{"type":"integer","minimum":1,"maximum":600000}},"additionalProperties":false}},{"name":"nodes","description":"Discover/control paired nodes: status, describe, pairing, notify, camera/photos/screen/location/notifications/invoke. Use file_fetch for files.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"node":{"type":"string"},"requestId":{"type":"string"},"title":{"type":"string"},"body":{"type":"string"},"sound":{"type":"string"},"priority":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"delivery":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"facing":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"camera_snap: front/back/both; camera_clip: front/back only."},"maxWidth":{"type":"integer","minimum":1},"quality":{"type":"number","minimum":0,"maximum":1},"delayMs":{"type":"integer","minimum":0},"deviceId":{"type":"string"},"limit":{"type":"integer","minimum":1,"maximum":20},"duration":{"type":"string"},"durationMs":{"type":"integer","minimum":1,"maximum":300000},"includeAudio":{"type":"boolean"},"fps":{"type":"number","exclusiveMinimum":0},"screenIndex":{"type":"integer","minimum":0},"outPath":{"type":"string"},"maxAgeMs":{"type":"integer","minimum":0},"locationTimeoutMs":{"type":"integer","minimum":1},"desiredAccuracy":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"notificationAction":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"notificationKey":{"type":"string"},"notificationReplyText":{"type":"string"},"invokeCommand":{"type":"string"},"invokeParamsJson":{"type":"string"},"invokeTimeoutMs":{"type":"integer","minimum":1}}}},{"name":"pdf","description":"Analyze PDFs with model. Anthropic/Google native PDF when supported; else text/image extraction. Use pdf for one, pdfs for max 10; prompt says what to inspect.","parameters":{"type":"object","properties":{"prompt":{"type":"string"},"pdf":{"type":"string","description":"One PDF path/URL."},"pdfs":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"PDF paths/URLs; max 10."},"pages":{"type":"string","description":"Pages, e.g. \"1-5\", \"1,3,5-7\"; default all."},"model":{"type":"string"},"maxBytesMb":{"type":"number","exclusiveMinimum":0}}}},{"name":"process","description":"Manage running exec sessions for commands already started: list, poll, log, write, send-keys, submit, paste, kill. Use poll/log when you need status, logs, quiet-success confirmation, or completion confirmation when automatic completion wake is unavailable. Use poll/log also for input-wait hints. Use write/send-keys/submit/paste/kill for input or intervention. Do not use process polling to emulate timers or reminders; use cron for scheduled follow-ups.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","description":"Process action (list|poll|log|write|send-keys|submit|paste|kill|clear|remove)"},"sessionId":{"type":"string","description":"Session id for actions other than list"},"data":{"type":"string","description":"Data to write for write"},"keys":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Key tokens to send for send-keys"},"hex":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Hex bytes to send for send-keys"},"literal":{"type":"string","description":"Literal string for send-keys"},"text":{"type":"string","description":"Text to paste for paste"},"bracketed":{"type":"boolean","description":"Wrap paste in bracketed mode"},"eof":{"type":"boolean","description":"Close stdin after write"},"offset":{"type":"number","description":"Log offset"},"limit":{"type":"number","description":"Log length"},"timeout":{"type":"number","description":"For poll: wait up to this many milliseconds before returning; max 30000 ms, higher values are clamped to 30000","minimum":0}}}},{"name":"read","description":"Read the contents of a file. Supports text files and images (jpg, png, gif, webp, bmp). Images are sent as attachments. For text files, output is truncated to 2000 lines or 50KB (whichever is hit first). Use offset/limit for large files. When you need the full file, continue with offset until complete.","parameters":{"type":"object","required":["path"],"properties":{"path":{"type":"string","description":"Path to the file to read (relative or absolute)"},"offset":{"type":"number","description":"Line number to start reading from (1-indexed)"},"limit":{"type":"number","description":"Maximum number of lines to read"}}}},{"name":"session_status","description":"Show /status-like card for current/visible session: model, usage, time, cost, tasks. Use `sessionKey=\"current\"` for current session; UI labels like `openclaw-tui` are not keys. `model` sets session override; `model=default` resets. Use for active model/session config questions.","parameters":{"type":"object","properties":{"sessionKey":{"type":"string"},"model":{"type":"string"}}}},{"name":"sessions_history","description":"Fetch sanitized history for visible session. Use before replying, debugging, resuming; supports limit, offset pagination, and tool-message inclusion.","parameters":{"type":"object","required":["sessionKey"],"properties":{"sessionKey":{"type":"string"},"limit":{"type":"integer","minimum":1},"offset":{"type":"integer","minimum":0},"includeTools":{"type":"boolean"}}}},{"name":"sessions_list","description":"List visible sessions; filter by kind, label, agentId, search, activity, archive state. Use before sessions_history or sessions_send target selection.","parameters":{"type":"object","properties":{"kinds":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"limit":{"type":"integer","minimum":1},"activeMinutes":{"type":"integer","minimum":1},"messageLimit":{"type":"integer","minimum":0},"label":{"type":"string","minLength":1},"agentId":{"type":"string","minLength":1,"maxLength":64},"search":{"type":"string","minLength":1},"archived":{"type":"boolean"},"includeDerivedTitles":{"type":"boolean"},"includeLastMessage":{"type":"boolean"}}}},{"name":"sessions_send","description":"Send message to visible session by sessionKey/label, or configured agent by agentId; sessionKey wins when redundant label metadata is present. Thread-scoped chats rejected; target parent channel session. Creates missing configured-agent main session; waits for reply when available.","parameters":{"type":"object","required":["message"],"properties":{"sessionKey":{"type":"string"},"label":{"type":"string","minLength":1,"maxLength":512},"agentId":{"type":"string","minLength":1,"maxLength":64},"message":{"type":"string"},"timeoutSeconds":{"type":"integer","minimum":0}}}},{"name":"sessions_spawn","description":"Spawn clean child session; default `runtime=\"subagent\"`. `mode=\"run\"` one-shot background work. Subagents inherit parent workspace. Native subagents get task in first visible `[Subagent Task]` message. Native only: `context=\"fork\"` only when child needs current transcript; else omit or `isolated`. Use for fresh child-session work. Delegate sidecar/parallel tasks: batch file reads, multi-step searches, data collection. Avoid delegating quick lookups or single-file reads unless policy prefers delegation. After spawning, do non-overlapping work while run-mode results return.","parameters":{"type":"object","required":["task"],"properties":{"task":{"type":"string"},"taskName":{"type":"string","description":"Stable alias for later targeting; lowercase letters/digits/underscores/hyphens, starts letter."},"label":{"type":"string"},"runtime":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"agentId":{"type":"string"},"model":{"type":"string"},"thinking":{"type":"string"},"cwd":{"type":"string"},"mode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"cleanup":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"sandbox":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"context":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Native context. Omit/\"isolated\" for clean child; \"fork\" only when child needs requester transcript."},"lightContext":{"type":"boolean","description":"Light bootstrap context; runtime=\"subagent\" only."},"attachments":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"maxItems":50},"attachAs":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}}}},{"name":"sessions_yield","description":"End current turn. Use after spawning subagents; results arrive as next message.","parameters":{"type":"object","properties":{"message":{"type":"string"}}}},{"name":"skill_workshop","description":"Create, update, revise, list, inspect, apply, reject, or quarantine Skill Workshop proposals when reusable procedures should be captured, improved, or explicitly approved.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"create = new skill; update = existing live skill; revise = existing pending proposal; list/inspect discover pending proposals (not filesystem search); apply/reject/quarantine are explicit lifecycle actions."},"proposal_id":{"type":"string","description":"Existing proposal id for action=inspect, action=revise, action=apply, action=reject, or action=quarantine."},"name":{"type":"string","description":"Skill/proposal name. Required for create; for inspect/revise when proposal_id is unknown, resolves a pending proposal or returns candidates."},"query":{"type":"string","description":"Optional query for action=list."},"status":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Optional proposal status filter for action=list."},"limit":{"type":"integer","minimum":1,"maximum":50,"description":"Maximum proposals to return for action=list. Defaults to 20."},"description":{"type":"string","maxLength":160,"description":"Skill description for create/update/revise; max 160 bytes. On update, concise text shortens the proposal listing entry."},"skill_name":{"type":"string","description":"Existing skill name or key for action=update."},"proposal_content":{"type":"string","description":"Full proposed procedure markdown for action=create, action=update, or action=revise. It will be stored as PROPOSAL.md. Keep under configured skills.workshop.maxSkillBytes; default max is 40000 bytes."},"support_files":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Optional support files to store with the proposal."},"goal":{"type":"string","description":"Proposal or improvement goal."},"evidence":{"type":"string","description":"Short evidence or notes."},"reason":{"type":"string","description":"Optional reason for action=apply, action=reject, or action=quarantine."}},"additionalProperties":false}},{"name":"subagents","description":"List active and recent subagents for the requester session. If sessions_yield exists, use it for completion; do not poll wait loops.","parameters":{"type":"object","properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"recentMinutes":{"type":"integer","minimum":1}}}},{"name":"tts","description":"Use only for explicit audio intent (voice/speech/TTS) or active TTS config. Never use for ordinary text replies. Audio auto-delivered from tool result; after success follow reply instructions, no duplicate text/audio.","parameters":{"type":"object","required":["text"],"properties":{"text":{"type":"string","description":"Text to speak."},"channel":{"type":"string","description":"Channel id; output-format hint."},"timeoutMs":{"type":"integer","description":"Provider timeout ms.","minimum":1}}}},{"name":"update_goal","description":"Mark the current goal complete only when achieved, or blocked only after the same blocking condition recurs for at least three consecutive goal turns. Do not use blocked for ordinary difficulty or missing polish.","parameters":{"type":"object","required":["status"],"properties":{"status":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"complete | blocked."},"note":{"type":"string","description":"Short status note."}}}},{"name":"update_plan","description":"Update current run plan. Use for non-trivial multi-step work; keep plan current while executing. Short steps; max one `in_progress`; skip for simple one-step work.","parameters":{"type":"object","required":["plan"],"properties":{"explanation":{"type":"string","description":"Short note: what changed."},"plan":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"minItems":1,"description":"Ordered steps; max one in_progress."}}}},{"name":"video_generate","description":"Create videos. Session chats: background task; do not call video_generate again for same request; wait completion, then report through the current visible-reply contract with generated media attached using structured media fields. \"status\" checks active task. Duration may round to provider-supported value.","parameters":{"type":"object","properties":{"action":{"type":"string","description":"\"generate\" default, \"status\" active task, \"list\" providers/models."},"prompt":{"type":"string","description":"Video prompt."},"image":{"type":"string","description":"One reference image path/URL."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference images; max 9."},"imageRoles":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"`image` + `images` roles by index after de-dupe. Values: first_frame, last_frame, reference_image; empty string leaves unset."},"video":{"type":"string","description":"One reference video path/URL."},"videos":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference videos; max 4."},"videoRoles":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"`video` + `videos` roles by index after de-dupe. Value: reference_video; empty string leaves unset."},"model":{"type":"string","description":"Provider/model override, e.g. qwen/wan2.6-t2v."},"filename":{"type":"string","description":"Output filename hint; basename preserved in managed media dir."},"size":{"type":"string","description":"Size hint, e.g. 1280x720, 1920x1080."},"aspectRatio":{"type":"string","description":"Aspect ratio: 1:1, 16:9, 9:16, \"adaptive\", or provider value; unsupported normalized/ignored."},"resolution":{"type":"string","description":"Resolution: 360P, 480P, 540P, 720P, 768P, 1080P, 4K, or provider value; unsupported normalized/ignored."},"durationSeconds":{"type":"integer","description":"Target seconds; may round to nearest supported duration.","minimum":1},"audio":{"type":"boolean","description":"Generated-audio toggle."},"watermark":{"type":"boolean","description":"Watermark toggle."},"providerOptions":{"type":"object","patternProperties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Provider JSON options, e.g. {\"seed\":42}. Keys/types must match provider capabilities; mismatch skips candidate. Use action=list for accepted keys."},"timeoutMs":{"type":"integer","description":"Provider timeout ms.","minimum":1}}}},{"name":"write","description":"Write content to a file. Creates the file if it doesn't exist, overwrites if it does. Automatically creates parent directories.","parameters":{"type":"object","required":["path","content"],"properties":{"path":{"type":"string","description":"Path to the file to write (relative or absolute)"},"content":{"type":"string","description":"Content to write to the file"}}}}],"imagesCount":0,"streamStrategy":"boundary-aware:openai-completions","transport":"auto","transcriptLeafId":"74a2ca36"}}
|
||
{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","source":"runtime","type":"prompt.submitted","ts":"2026-07-15T10:05:28.909Z","seq":4,"sourceSeq":74,"sessionId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","sessionKey":"agent:main:dashboard:2fdf88e4-fa3f-46c2-b547-384e2c048b11","runId":"fc11b4ae-ecb7-44e7-b501-01b59e37bf0c","workspaceDir":"/home/yangxuan/.openclaw/workspace","provider":"deepseek","modelId":"deepseek-v4-flash","modelApi":"openai-completions","data":{"prompt":"update dmp_serp.dmp_im_stock_in_out_flow_detail set stock_date='2026-01-24',bill_date='2026-01-23',update_time='2026-01-24 09:12:43',create_time='2026-01-23 09:46:37' where flow_no='SIO20260410000001' and ecid ='hsjm';\n\n把时间等于最后入库时间。\n-- 采购出入库记录\n-- 批量更新 dmp_serp.dmp_im_stock_in_out_flow_detail 的 create_time update_time中的日期部分为 对应的stock_date","systemPrompt":{"truncated":true,"reason":"trajectory-field-size-limit","originalChars":39560,"limitChars":32768},"messages":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate \n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","timestamp":1784109538113,"idempotencyKey":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"},{"role":"user","content":"保留原时分秒，只改日期部分\nUPDATE dmp_spom.dmp_mrp_main_plan_task SET plan_start_time='2026-07-07 11:03:04',create_time='2026-07-07 10:58:04',update_time='2026-07-07 11:03:04' WHERE ecid='kanda' AND plan_no='PLAN2026071414255193535522';\n-- 物料计划主表\n-- 批量更新 dmp_spom.dmp_mrp_main_plan_task 的 create_time update_time中的日期部分为 对应的plan_start_time","timestamp":1784109596434,"idempotencyKey":"7c28a842-8a9f-4cc4-9094-1298d4ce1a5c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**物料计划主表 `dmp_mrp_main_plan_task`**，要把 `create_time` 和 `update_time` 的日期部分改为对应的 `plan_start_time`，保留原时分秒。\n\n## 更新脚本\n\n```sql\nUPDATE dmp_spom.dmp_mrp_main_plan_task\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'kanda';\n```\n\n范围条件？我看你前面说的是\"计划开始时间是7月份的数据\"，但 `plan_start_time` 看样例已经是 7 月份。你对范围有要求吗？比如：\n\n```sql\n-- 如果只要 plan_start_time 在7月份的数据\nAND plan_start_time >= '2026-07-01' AND plan_start_time < '2026-08-01'\n\n-- 或者只要 plan_start_time 日期和 create_time 日期不一致的（避免无意义更新）\nAND DATE(plan_start_time) != DATE(create_time)\n```\n\n需要加范围条件吗？还是直接全量更新 `ecid = 'kanda'` 的所有记录？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":1021,"output":340,"cacheRead":26880,"cacheWrite":0,"totalTokens":28241,"cost":{"input":0.001021,"output":0.0006799999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0017009999999999998}},"stopReason":"stop","timestamp":1784109597165,"responseId":"3546056a-f6d1-4805-b0d2-e4d5739d2293"},{"role":"user","content":"采购订单\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37' where ecid = 'hsjm' and order_no ='PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 16:10:47', update_time ='2026-01-12 16:10:47' where ecid = 'hsjm' and order_no ='PO2026000002';\n把 时间等于下单时间。\n-- 采购订单\n-- 批量更新 dmp_serp.dmp_mc_purchase_order 的 create_time update_time中的日期部分为 对应的order_date\n\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\n把 时间等于下单时间。\n\n-- 采购明细表\n-- 批量更新 dmp_serp.dmp_mc_purchase_order_detail 的 create_time update_time中的日期部分为 对应的order_date","timestamp":1784109736511,"idempotencyKey":"dea79fe3-9e82-4fcc-932b-78fe7ffb7ea2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，两个表一起处理，都是**采购订单**相关，用 `order_date` 作为日期源。\n\n## 采购订单主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购订单明细表\n\n明细表需要通过 `order_no` 和 `ecid` 关联主表获取 `order_date`：\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order_detail pd\nJOIN dmp_serp.dmp_mc_purchase_order po \n ON pd.ecid = po.ecid AND pd.order_no = po.order_no\nSET \n pd.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pd.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE pd.ecid = 'hsjm';\n```\n\n同样你提到的 **plan_arrival_date**——明细表里也有这个字段，看你样例里也在改它。但你的需求描述里只提了 `create_time` 和 `update_time`，`plan_arrival_date` 是否需要基于主表的 `plan_arrival_date` 同步更新？如果需要，可以加上：\n\n```sql\n-- 在明细表的 SET 中加上 plan_arrival_date 同步\n pd.plan_arrival_date = po.plan_arrival_date,\n```\n\n---\n\n汇总一下你到目前为止的更新清单：\n\n| 序号 | 表 | 日期源字段 |\n|------|-----|-----------|\n| 1 | `dmp_serp.dmp_om_order` | `om_orderdate` |\n| 2 | `dmp_serp.dmp_om_productinfo` | 关联主表 `om_orderdate` |\n| 3 | `dmp_spom.dmp_mrp_main_plan_task` | `plan_start_time` |\n| 4 | `dmp_serp.dmp_mc_purchase_order` | `order_date` |\n| 5 | `dmp_serp.dmp_mc_purchase_order_detail` | 关联主表 `order_date` |\n\n还有其他表要处理吗？一次性都帮你搞定 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":537,"output":666,"cacheRead":28160,"cacheWrite":0,"totalTokens":29363,"cost":{"input":0.0005369999999999999,"output":0.0013319999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0018689999999999998}},"stopReason":"stop","timestamp":1784109737239,"responseId":"4b7762d3-e202-4784-90ea-1934b8437ee9"},{"role":"user","content":"采购到货\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 14:59:11', update_time = '2026-01-22 14:59:11' where ecid = 'hsjm' and arrival_no = 'PAD2026000001';\n\n\n把 时间等于送货时间。\n-- 采购到货主表\n\n\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\n\n把 时间等于送货时间。\n-- 采购到货明细","timestamp":1784109773108,"idempotencyKey":"c1f0893e-59e7-4e66-8ebf-c96466a88991:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `ship_date`（送货时间/发货时间）。\n\n## 采购到货主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购到货明细表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival_detail ad\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON ad.ecid = a.ecid AND ad.arrival_no = a.arrival_no\nSET \n ad.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n ad.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ad.ecid = 'hsjm';\n```\n\n不过我看你的例子里，`ship_date` 和 `arrival_date` 都是 `'2026-01-22'`（同一天）。你说\"时间等于**送货时间**\"，那就是用 `ship_date` 作为日期源，没错吧？还是说你想用 `arrival_date`（到货时间）？\n\n---\n\n## 📋 完整更新清单（截至目前）\n\n| 序号 | 表 | 数据库 | 日期源字段 | 关联方式 |\n|------|-----|--------|-----------|---------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 直接更新 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate` | JOIN 主表 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 直接更新 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 直接更新 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date` | JOIN 主表 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 直接更新 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date` | JOIN 主表 |\n\n还继续有吗？一次性整完 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":427,"output":719,"cacheRead":29312,"cacheWrite":0,"totalTokens":30458,"cost":{"input":0.00042699999999999997,"output":0.001438,"cacheRead":0,"cacheWrite":0,"total":0.001865}},"stopReason":"stop","timestamp":1784109773806,"responseId":"8409c206-8436-4c31-93df-a6c9c78ea7a5"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验","timestamp":1784109808938,"idempotencyKey":"4b7a78ce-766c-439b-8784-ec9eef3f92ac:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**来料检验表**，需要关联**采购到货单**获取 `ship_date`。\n\n关联关系：`qc_task_inspect` 通过某个字段关联到采购到货单？我先看看常见关联方式——通常来料检验单会记录 `arrival_no`（到货单号）和 `ecid`。\n\n如果 `qc_task_inspect` 里有 `arrival_no` 字段，关联到 `dmp_mc_purchase_arrival`：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect qi\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON qi.ecid = a.ecid AND qi.arrival_no = a.arrival_no\nSET \n qi.insp_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.insp_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE qi.ecid = 'hsjm';\n```\n\n不过我需要确认一下——`qc_task_inspect` 里**关联采购到货单的字段名是什么**？常见的有：\n- `arrival_no` — 到货单号\n- `src_bill_no` — 来源单据号\n\n你能看看表结构确认一下关联字段吗？或者直接告诉我 `qc_task_inspect` 里哪个字段存的是到货单号就行。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":317,"output":444,"cacheRead":30336,"cacheWrite":0,"totalTokens":31097,"cost":{"input":0.000317,"output":0.000888,"cacheRead":0,"cacheWrite":0,"total":0.001205}},"stopReason":"stop","timestamp":1784109809545,"responseId":"a97cc980-d1b1-4640-9631-1a5bc07b2155"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验 只有主表","timestamp":1784109834801,"idempotencyKey":"1b1a78a5-b104-491c-8c1a-3388b55520a1:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"只有主表，没有关联明细。那 `qc_task_inspect` 直接用某个字段关联到采购到货单获取 `ship_date`。我需要先看看这个表里有什么关联字段。\n\n让我查一下表结构："},{"type":"toolCall","id":"call00zNFXflO9uvHF88gvemNV1946","name":"exec","arguments":{"command":"mysql -u root -p'YourPassword' -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null || echo \"NEED_PASSWORD\""},"partialArgs":"{\"command\": \"mysql -u root -p'YourPassword' -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null || echo \\\"NEED_PASSWORD\\\"\"}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":320,"output":127,"cacheRead":30976,"cacheWrite":0,"totalTokens":31423,"cost":{"input":0.00031999999999999997,"output":0.000254,"cacheRead":0,"cacheWrite":0,"total":0.000574}},"stopReason":"toolUse","timestamp":1784109835616,"responseId":"6d7b9ef4-7af8-4b71-a201-06dba58c46a8"},{"role":"toolResult","toolCallId":"call00zNFXflO9uvHF88gvemNV1946","toolName":"exec","content":[{"type":"text","text":"NEED_PASSWORD"}],"isError":false,"timestamp":1784109838817},{"role":"assistant","content":[{"type":"toolCall","id":"call00PIuYMg0px60fCGWCIhay2037","name":"exec","arguments":{"command":"mysql -u root -p -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null | head -50","timeout":10},"partialArgs":"{\"command\": \"mysql -u root -p -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null | head -50\", \"timeout\": 10}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":79,"output":90,"cacheRead":31360,"cacheWrite":0,"totalTokens":31529,"cost":{"input":0.000079,"output":0.00017999999999999998,"cacheRead":0,"cacheWrite":0,"total":0.000259}},"stopReason":"toolUse","timestamp":1784109838831,"responseId":"1ac67ea0-15ab-4d4d-8d1a-bec64bd8a1be"},{"role":"toolResult","toolCallId":"call00PIuYMg0px60fCGWCIhay2037","toolName":"exec","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1784109840424},{"role":"assistant","content":[{"type":"text","text":"没有直连数据库的权限，没关系。你看看 `qc_task_inspect` 表里有什么字段可以用来关联到采购到货单？比如：\n\n- `arrival_no`（到货单号）\n- `src_bill_no` / `source_no`（来源单号）\n- `order_no`（采购订单号）\n- 或者其它什么字段？\n\n你告诉我关联字段名，我就能直接写出完整的 SQL 了。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":55,"output":92,"cacheRead":31488,"cacheWrite":0,"totalTokens":31635,"cost":{"input":0.000054999999999999995,"output":0.000184,"cacheRead":0,"cacheWrite":0,"total":0.000239}},"stopReason":"stop","timestamp":1784109840437,"responseId":"e2a7cf1e-c246-4d51-b8a5-498bd181dfce"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验\n-- 批量更新 dmp_smes.qc_task_inspect 的 create_time update_time中的日期部分为 对应insp_time","timestamp":1784109869504,"idempotencyKey":"31a50ea4-daa6-44a6-b525-6e085ebd2335:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"啊，看明白了！你的意思是 **直接用 `insp_time` 作为日期源**，不需要关联到货单：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单汇总\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|--------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 否 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（关联主表） | 是 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 否 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 否 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（关联主表） | 是 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 否 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（关联主表） | 是 |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | 否 |\n\n还有要处理的表吗？一起搞定 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":242,"output":471,"cacheRead":31616,"cacheWrite":0,"totalTokens":32329,"cost":{"input":0.000242,"output":0.0009419999999999999,"cacheRead":0,"cacheWrite":0,"total":0.001184}},"stopReason":"stop","timestamp":1784109870180,"responseId":"0bddd8b3-54ef-4280-b497-c5f6e7c4c117"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in set bill_date='2026-01-23',completed_at='2026-01-24 10:33:27', create_time='2026-01-23 09:56:17',update_time='2026-01-24 10:33:27' where stock_in_no='PE2026000002' and ecid ='hsjm';\n把时间等于最后入库时间。\n-- 采购入库主表\n-- 批量更新 dmp_serp.dmp_im_stock_in 的 create_time update_time中的日期部分为 对应的completed_at","timestamp":1784109898245,"idempotencyKey":"19ea56c9-af6f-4a6e-8331-4c25e67fc817:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `completed_at`（最后入库时间）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（9个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|:----:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n\n还继续有吗？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":229,"output":499,"cacheRead":32256,"cacheWrite":0,"totalTokens":32984,"cost":{"input":0.00022899999999999998,"output":0.000998,"cacheRead":0,"cacheWrite":0,"total":0.001227}},"stopReason":"stop","timestamp":1784109898887,"responseId":"4df6ab45-0f41-4730-9b14-34965a8d2fc5"}],"imagesCount":0}}
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{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","source":"runtime","type":"model.completed","ts":"2026-07-15T10:05:32.880Z","seq":5,"sourceSeq":75,"sessionId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","sessionKey":"agent:main:dashboard:2fdf88e4-fa3f-46c2-b547-384e2c048b11","runId":"fc11b4ae-ecb7-44e7-b501-01b59e37bf0c","workspaceDir":"/home/yangxuan/.openclaw/workspace","provider":"deepseek","modelId":"deepseek-v4-flash","modelApi":"openai-completions","data":{"aborted":false,"externalAbort":false,"timedOut":false,"idleTimedOut":false,"timedOutDuringCompaction":false,"timedOutDuringToolExecution":false,"timedOutByRunBudget":false,"promptErrorSource":null,"usage":{"input":247,"output":551,"cacheRead":32896,"total":33694},"promptCache":{"lastCallUsage":{"input":247,"output":551,"cacheRead":32896,"cacheWrite":0,"total":33694},"lastCacheTouchAt":1784109928948},"compactionCount":0,"assistantTexts":["明白了，日期源是 `stock_date`：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in_out_flow_detail\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（10个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n\n还有吗？一次全整完，然后我给你生成一个**完整的 SQL 脚本文件**，方便你一次性执行 ✅"],"finalPromptText":"update dmp_serp.dmp_im_stock_in_out_flow_detail set stock_date='2026-01-24',bill_date='2026-01-23',update_time='2026-01-24 09:12:43',create_time='2026-01-23 09:46:37' where flow_no='SIO20260410000001' and ecid ='hsjm';\n\n把时间等于最后入库时间。\n-- 采购出入库记录\n-- 批量更新 dmp_serp.dmp_im_stock_in_out_flow_detail 的 create_time update_time中的日期部分为 对应的stock_date","messagesSnapshot":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate \n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","timestamp":1784109538113,"idempotencyKey":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"},{"role":"user","content":"保留原时分秒，只改日期部分\nUPDATE dmp_spom.dmp_mrp_main_plan_task SET plan_start_time='2026-07-07 11:03:04',create_time='2026-07-07 10:58:04',update_time='2026-07-07 11:03:04' WHERE ecid='kanda' AND plan_no='PLAN2026071414255193535522';\n-- 物料计划主表\n-- 批量更新 dmp_spom.dmp_mrp_main_plan_task 的 create_time update_time中的日期部分为 对应的plan_start_time","timestamp":1784109596434,"idempotencyKey":"7c28a842-8a9f-4cc4-9094-1298d4ce1a5c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**物料计划主表 `dmp_mrp_main_plan_task`**，要把 `create_time` 和 `update_time` 的日期部分改为对应的 `plan_start_time`，保留原时分秒。\n\n## 更新脚本\n\n```sql\nUPDATE dmp_spom.dmp_mrp_main_plan_task\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'kanda';\n```\n\n范围条件？我看你前面说的是\"计划开始时间是7月份的数据\"，但 `plan_start_time` 看样例已经是 7 月份。你对范围有要求吗？比如：\n\n```sql\n-- 如果只要 plan_start_time 在7月份的数据\nAND plan_start_time >= '2026-07-01' AND plan_start_time < '2026-08-01'\n\n-- 或者只要 plan_start_time 日期和 create_time 日期不一致的（避免无意义更新）\nAND DATE(plan_start_time) != DATE(create_time)\n```\n\n需要加范围条件吗？还是直接全量更新 `ecid = 'kanda'` 的所有记录？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":1021,"output":340,"cacheRead":26880,"cacheWrite":0,"totalTokens":28241,"cost":{"input":0.001021,"output":0.0006799999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0017009999999999998}},"stopReason":"stop","timestamp":1784109597165,"responseId":"3546056a-f6d1-4805-b0d2-e4d5739d2293"},{"role":"user","content":"采购订单\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37' where ecid = 'hsjm' and order_no ='PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 16:10:47', update_time ='2026-01-12 16:10:47' where ecid = 'hsjm' and order_no ='PO2026000002';\n把 时间等于下单时间。\n-- 采购订单\n-- 批量更新 dmp_serp.dmp_mc_purchase_order 的 create_time update_time中的日期部分为 对应的order_date\n\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\n把 时间等于下单时间。\n\n-- 采购明细表\n-- 批量更新 dmp_serp.dmp_mc_purchase_order_detail 的 create_time update_time中的日期部分为 对应的order_date","timestamp":1784109736511,"idempotencyKey":"dea79fe3-9e82-4fcc-932b-78fe7ffb7ea2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，两个表一起处理，都是**采购订单**相关，用 `order_date` 作为日期源。\n\n## 采购订单主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购订单明细表\n\n明细表需要通过 `order_no` 和 `ecid` 关联主表获取 `order_date`：\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order_detail pd\nJOIN dmp_serp.dmp_mc_purchase_order po \n ON pd.ecid = po.ecid AND pd.order_no = po.order_no\nSET \n pd.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pd.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE pd.ecid = 'hsjm';\n```\n\n同样你提到的 **plan_arrival_date**——明细表里也有这个字段，看你样例里也在改它。但你的需求描述里只提了 `create_time` 和 `update_time`，`plan_arrival_date` 是否需要基于主表的 `plan_arrival_date` 同步更新？如果需要，可以加上：\n\n```sql\n-- 在明细表的 SET 中加上 plan_arrival_date 同步\n pd.plan_arrival_date = po.plan_arrival_date,\n```\n\n---\n\n汇总一下你到目前为止的更新清单：\n\n| 序号 | 表 | 日期源字段 |\n|------|-----|-----------|\n| 1 | `dmp_serp.dmp_om_order` | `om_orderdate` |\n| 2 | `dmp_serp.dmp_om_productinfo` | 关联主表 `om_orderdate` |\n| 3 | `dmp_spom.dmp_mrp_main_plan_task` | `plan_start_time` |\n| 4 | `dmp_serp.dmp_mc_purchase_order` | `order_date` |\n| 5 | `dmp_serp.dmp_mc_purchase_order_detail` | 关联主表 `order_date` |\n\n还有其他表要处理吗？一次性都帮你搞定 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":537,"output":666,"cacheRead":28160,"cacheWrite":0,"totalTokens":29363,"cost":{"input":0.0005369999999999999,"output":0.0013319999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0018689999999999998}},"stopReason":"stop","timestamp":1784109737239,"responseId":"4b7762d3-e202-4784-90ea-1934b8437ee9"},{"role":"user","content":"采购到货\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 14:59:11', update_time = '2026-01-22 14:59:11' where ecid = 'hsjm' and arrival_no = 'PAD2026000001';\n\n\n把 时间等于送货时间。\n-- 采购到货主表\n\n\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\n\n把 时间等于送货时间。\n-- 采购到货明细","timestamp":1784109773108,"idempotencyKey":"c1f0893e-59e7-4e66-8ebf-c96466a88991:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `ship_date`（送货时间/发货时间）。\n\n## 采购到货主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购到货明细表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival_detail ad\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON ad.ecid = a.ecid AND ad.arrival_no = a.arrival_no\nSET \n ad.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n ad.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ad.ecid = 'hsjm';\n```\n\n不过我看你的例子里，`ship_date` 和 `arrival_date` 都是 `'2026-01-22'`（同一天）。你说\"时间等于**送货时间**\"，那就是用 `ship_date` 作为日期源，没错吧？还是说你想用 `arrival_date`（到货时间）？\n\n---\n\n## 📋 完整更新清单（截至目前）\n\n| 序号 | 表 | 数据库 | 日期源字段 | 关联方式 |\n|------|-----|--------|-----------|---------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 直接更新 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate` | JOIN 主表 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 直接更新 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 直接更新 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date` | JOIN 主表 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 直接更新 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date` | JOIN 主表 |\n\n还继续有吗？一次性整完 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":427,"output":719,"cacheRead":29312,"cacheWrite":0,"totalTokens":30458,"cost":{"input":0.00042699999999999997,"output":0.001438,"cacheRead":0,"cacheWrite":0,"total":0.001865}},"stopReason":"stop","timestamp":1784109773806,"responseId":"8409c206-8436-4c31-93df-a6c9c78ea7a5"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验","timestamp":1784109808938,"idempotencyKey":"4b7a78ce-766c-439b-8784-ec9eef3f92ac:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**来料检验表**，需要关联**采购到货单**获取 `ship_date`。\n\n关联关系：`qc_task_inspect` 通过某个字段关联到采购到货单？我先看看常见关联方式——通常来料检验单会记录 `arrival_no`（到货单号）和 `ecid`。\n\n如果 `qc_task_inspect` 里有 `arrival_no` 字段，关联到 `dmp_mc_purchase_arrival`：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect qi\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON qi.ecid = a.ecid AND qi.arrival_no = a.arrival_no\nSET \n qi.insp_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.insp_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE qi.ecid = 'hsjm';\n```\n\n不过我需要确认一下——`qc_task_inspect` 里**关联采购到货单的字段名是什么**？常见的有：\n- `arrival_no` — 到货单号\n- `src_bill_no` — 来源单据号\n\n你能看看表结构确认一下关联字段吗？或者直接告诉我 `qc_task_inspect` 里哪个字段存的是到货单号就行。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":317,"output":444,"cacheRead":30336,"cacheWrite":0,"totalTokens":31097,"cost":{"input":0.000317,"output":0.000888,"cacheRead":0,"cacheWrite":0,"total":0.001205}},"stopReason":"stop","timestamp":1784109809545,"responseId":"a97cc980-d1b1-4640-9631-1a5bc07b2155"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验 只有主表","timestamp":1784109834801,"idempotencyKey":"1b1a78a5-b104-491c-8c1a-3388b55520a1:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"只有主表，没有关联明细。那 `qc_task_inspect` 直接用某个字段关联到采购到货单获取 `ship_date`。我需要先看看这个表里有什么关联字段。\n\n让我查一下表结构："},{"type":"toolCall","id":"call00zNFXflO9uvHF88gvemNV1946","name":"exec","arguments":{"command":"mysql -u root -p'YourPassword' -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null || echo \"NEED_PASSWORD\""},"partialArgs":"{\"command\": \"mysql -u root -p'YourPassword' -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null || echo \\\"NEED_PASSWORD\\\"\"}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":320,"output":127,"cacheRead":30976,"cacheWrite":0,"totalTokens":31423,"cost":{"input":0.00031999999999999997,"output":0.000254,"cacheRead":0,"cacheWrite":0,"total":0.000574}},"stopReason":"toolUse","timestamp":1784109835616,"responseId":"6d7b9ef4-7af8-4b71-a201-06dba58c46a8"},{"role":"toolResult","toolCallId":"call00zNFXflO9uvHF88gvemNV1946","toolName":"exec","content":[{"type":"text","text":"NEED_PASSWORD"}],"isError":false,"timestamp":1784109838817},{"role":"assistant","content":[{"type":"toolCall","id":"call00PIuYMg0px60fCGWCIhay2037","name":"exec","arguments":{"command":"mysql -u root -p -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null | head -50","timeout":10},"partialArgs":"{\"command\": \"mysql -u root -p -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null | head -50\", \"timeout\": 10}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":79,"output":90,"cacheRead":31360,"cacheWrite":0,"totalTokens":31529,"cost":{"input":0.000079,"output":0.00017999999999999998,"cacheRead":0,"cacheWrite":0,"total":0.000259}},"stopReason":"toolUse","timestamp":1784109838831,"responseId":"1ac67ea0-15ab-4d4d-8d1a-bec64bd8a1be"},{"role":"toolResult","toolCallId":"call00PIuYMg0px60fCGWCIhay2037","toolName":"exec","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1784109840424},{"role":"assistant","content":[{"type":"text","text":"没有直连数据库的权限，没关系。你看看 `qc_task_inspect` 表里有什么字段可以用来关联到采购到货单？比如：\n\n- `arrival_no`（到货单号）\n- `src_bill_no` / `source_no`（来源单号）\n- `order_no`（采购订单号）\n- 或者其它什么字段？\n\n你告诉我关联字段名，我就能直接写出完整的 SQL 了。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":55,"output":92,"cacheRead":31488,"cacheWrite":0,"totalTokens":31635,"cost":{"input":0.000054999999999999995,"output":0.000184,"cacheRead":0,"cacheWrite":0,"total":0.000239}},"stopReason":"stop","timestamp":1784109840437,"responseId":"e2a7cf1e-c246-4d51-b8a5-498bd181dfce"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验\n-- 批量更新 dmp_smes.qc_task_inspect 的 create_time update_time中的日期部分为 对应insp_time","timestamp":1784109869504,"idempotencyKey":"31a50ea4-daa6-44a6-b525-6e085ebd2335:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"啊，看明白了！你的意思是 **直接用 `insp_time` 作为日期源**，不需要关联到货单：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单汇总\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|--------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 否 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（关联主表） | 是 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 否 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 否 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（关联主表） | 是 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 否 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（关联主表） | 是 |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | 否 |\n\n还有要处理的表吗？一起搞定 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":242,"output":471,"cacheRead":31616,"cacheWrite":0,"totalTokens":32329,"cost":{"input":0.000242,"output":0.0009419999999999999,"cacheRead":0,"cacheWrite":0,"total":0.001184}},"stopReason":"stop","timestamp":1784109870180,"responseId":"0bddd8b3-54ef-4280-b497-c5f6e7c4c117"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in set bill_date='2026-01-23',completed_at='2026-01-24 10:33:27', create_time='2026-01-23 09:56:17',update_time='2026-01-24 10:33:27' where stock_in_no='PE2026000002' and ecid ='hsjm';\n把时间等于最后入库时间。\n-- 采购入库主表\n-- 批量更新 dmp_serp.dmp_im_stock_in 的 create_time update_time中的日期部分为 对应的completed_at","timestamp":1784109898245,"idempotencyKey":"19ea56c9-af6f-4a6e-8331-4c25e67fc817:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `completed_at`（最后入库时间）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（9个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|:----:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n\n还继续有吗？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":229,"output":499,"cacheRead":32256,"cacheWrite":0,"totalTokens":32984,"cost":{"input":0.00022899999999999998,"output":0.000998,"cacheRead":0,"cacheWrite":0,"total":0.001227}},"stopReason":"stop","timestamp":1784109898887,"responseId":"4df6ab45-0f41-4730-9b14-34965a8d2fc5"},{"role":"user","content":[{"type":"text","text":"update dmp_serp.dmp_im_stock_in_out_flow_detail set stock_date='2026-01-24',bill_date='2026-01-23',update_time='2026-01-24 09:12:43',create_time='2026-01-23 09:46:37' where flow_no='SIO20260410000001' and ecid ='hsjm';\n\n把时间等于最后入库时间。\n-- 采购出入库记录\n-- 批量更新 dmp_serp.dmp_im_stock_in_out_flow_detail 的 create_time update_time中的日期部分为 对应的stock_date"}],"timestamp":1784109928919},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `stock_date`：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in_out_flow_detail\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（10个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n\n还有吗？一次全整完，然后我给你生成一个**完整的 SQL 脚本文件**，方便你一次性执行 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":247,"output":551,"cacheRead":32896,"cacheWrite":0,"totalTokens":33694,"cost":{"input":0.000247,"output":0.001102,"cacheRead":0,"cacheWrite":0,"total":0.001349}},"stopReason":"stop","timestamp":1784109928948,"responseId":"530e1437-c5c6-4d13-9bd9-ceb4ee9ee99d"}]}}
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Works with any IMAP/SMTP server including Gmail, Outlook, 163.com, vip.163.com, 126.com, vip.126.com, 188.com, and vip.188.com.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"meme-maker","name":"meme-maker","description":"Search meme templates, suggest formats, and generate local or hosted image memes.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"multi-search-engine","name":"multi-search-engine","description":"Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"MySQL","name":"MySQL","description":"Write correct MySQL queries with proper character sets, indexing, transactions, and production patterns.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"news-summary","name":"news-summary","description":"This skill should be used when the user asks for news updates, daily briefings, or what's happening in the world. Fetches news from trusted international RSS feeds and can create voice summaries.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"node-connect","name":"node-connect","description":"Diagnose OpenClaw Android, iOS, or macOS node pairing, QR/setup code, route, auth, and connection failures.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"node-inspect-debugger","name":"node-inspect-debugger","description":"Debug Node.js with node inspect, --inspect, breakpoints, CDP, heap, and CPU profiles.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"obsidian-official-cli","name":"obsidian-official-cli","description":"Work with Obsidian vaults using the official Obsidian CLI (v1.12+). Open, search, create, move, and manage notes from the terminal. Use when working with Obsidian vaults for note management, file operations, searching content, managing tasks, properties, links, plugins, themes, sync operations, or any command-line interaction with Obsidian.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"opencode-controller","name":"opencode-controller","description":"Control and operate Opencode via slash commands. Use this skill to manage sessions, select models, switch agents (plan/build), and coordinate coding through Opencode.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"openspec","name":"openspec","description":"Spec-driven development with OpenSpec CLI. Use when building features, migrations, refactors, or any structured development work. Manages proposal → specs → design → tasks → implementation workflows. Supports custom schemas (TDD, rapid, etc.). Trigger on requests involving feature planning, spec writing, change management, or when /opsx commands are mentioned.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/openspec/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/openspec","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/openspec","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/openspec/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"python-debugpy","name":"python-debugpy","description":"Debug Python with pdb, breakpoint(), post-mortem inspection, and debugpy remote attach.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"qiushi-openclaw-skills","name":"qiushi-openclaw-skills","description":"求是 OpenClaw Skills 是基于毛泽东思想方法论的 AI Agent 技能集合，按照 OpenClaw 技能格式进行改造，旨在为 AI 提供系统化的思考和行动框架。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"requirements-analyst","name":"requirements-analyst","description":"将产品需求转化为前后端可执行的技术规范，输出离线性优先的结构化文档。当用户提出产品需求、PRD、功能描述或模糊想法时自动触发。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"rss-ai-reader","name":"rss-ai-reader","description":"📰 RSS AI 阅读器 — 自动抓取订阅、LLM生成摘要、多渠道推送！\n支持 Claude/OpenAI 生成中文摘要，推送到飞书/Telegram/Email。\n触发条件: 用户要求订阅RSS、监控博客、抓取新闻、生成摘要、设置定时抓取、\n\"帮我订阅\"、\"监控这个网站\"、\"每天推送新闻\"、RSS/Atom feed 相关。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"skill-creator","name":"skill-creator","description":"Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"spike","name":"spike","description":"Run throwaway prototypes to validate feasibility, compare approaches, and report a verdict.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"Spreadsheet & Data Wrangling Master","name":"Spreadsheet & Data Wrangling Master","description":"Complete spreadsheet methodology — data cleanup, transformation, analysis, dashboards, automation, and reporting. Works with CSV, Excel, Google Sheets, or any tabular data. Use when the user needs to clean messy data, build reports, create dashboards, automate recurring spreadsheet tasks, or transform data between formats.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"sql-toolkit","name":"sql-toolkit","description":"Query, design, migrate, and optimize SQL databases. Use when working with SQLite, PostgreSQL, or MySQL — schema design, writing queries, creating migrations, indexing, backup/restore, and debugging slow queries. No ORMs required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"taskflow","name":"taskflow","description":"Coordinate multi-step detached tasks as one durable TaskFlow job with owner context, state, waits, and child tasks.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"taskflow-inbox-triage","name":"taskflow-inbox-triage","description":"Example TaskFlow pattern for inbox triage, intent routing, waiting on replies, and later summaries.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"using-superpowers","name":"using-superpowers","description":"Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"weather","name":"weather","description":"Get current weather and forecasts (no API key required).","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/weather/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/weather","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/weather","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/weather/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"web-search","name":"web-search","description":"This skill should be used when users need to search the web for information, find current content, look up news articles, search for images, or find videos. It uses a self-hosted SearXNG instance to return results in clean, formatted output (text, markdown, or JSON). Use for research, fact-checking, finding recent information, or gathering web resources.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/web-search/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/web-search","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/web-search","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/web-search/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true}]},"prompting":{"skillsPrompt":"\n\nThe following skills provide specialized instructions for specific tasks.\nUse the read tool to load a skill's file when the task matches its description.\nIf a skill's <version> differs from a previous turn, re-read its SKILL.md before using it.\nWhen a skill file references a relative path, resolve it against the skill directory (parent of SKILL.md / dirname of the path) and use that absolute path in tool commands.\n\n<available_skills>\n <skill>\n <name>agent-browser</name>\n <description>Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection</description>\n <location>~/.openclaw/workspace/skills/agent-browser-clawdbot/SKILL.md</location>\n <version>sha256:9643b9c65476eedd</version>\n </skill>\n <skill>\n <name>chinese-calendar</name>\n <description>获取中国日历信息，包括节假日、调休安排、工作日判断。使用 timor.tech API，数据每年自动更新。Use when: 需要判断某天是否是工作日、查询节假日安排、了解调休情况。</description>\n <location>~/.openclaw/workspace/skills/chinese-calendar/SKILL.md</location>\n <version>sha256:40a9ba942647e641</version>\n </skill>\n <skill>\n <name>clawhub</name>\n <description>Search ClawHub for skills when a requested capability is not already available; install, verify, update, publish, or sync skills.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/clawhub/SKILL.md</location>\n <version>sha256:6bb70d95cbd1a545</version>\n </skill>\n <skill>\n <name>Code</name>\n <description>Coding workflow with planning, implementation, verification, and testing for clean software development.</description>\n <location>~/.openclaw/workspace/skills/openclaw-code/SKILL.md</location>\n <version>sha256:f09694134cc55cc0</version>\n </skill>\n <skill>\n <name>database-admin</name>\n <description>Comprehensive database administration, schema management, data operations, and optimization. Use when Codex needs to: (1) Create or modify database tables with proper indexing, (2) Perform bulk data insertions with type safety and constraint handling, (3) Execute complex queries with JOINs, aggregations, and subqueries, (4) Optimize query performance through indexing and execution plan analysis, (5) Manage database backups, restores, and migrations, (6) Handle special data types (BIGINT, UUID, JSONB, enums), (7) Implement transactional safety with ACID compliance, or (8) Debug and resolve database errors including constraint violations, type mismatches, and foreign key issues</description>\n <location>~/.openclaw/workspace/skills/database-admin/SKILL.md</location>\n <version>sha256:7649e43727f2fb8b</version>\n </skill>\n <skill>\n <name>database-schema-designer</name>\n <description>Database Schema Designer</description>\n <location>~/.openclaw/workspace/skills/database-schema-designer/SKILL.md</location>\n <version>sha256:3f2282ec8135dfdf</version>\n </skill>\n <skill>\n <name>db-query</name>\n <description>Query project databases with automatic SSH tunnel management. Use when you need to execute SQL queries against configured databases, especially those accessible only via SSH tunnels. Automatically manages SSH connection lifecycle (establishes tunnel before query, closes after). Supports multiple databases distinguished by description/name from config file.</description>\n <location>~/.openclaw/workspace/skills/db-query/SKILL.md</location>\n <version>sha256:eaffe1e617f2b8f2</version>\n </skill>\n <skill>\n <name>db-schema</name>\n <description>Generate database schemas, migrations, and ERD diagrams from plain English descriptions — supports PostgreSQL, MySQL, SQLite, and MongoDB with proper indexes and constraints.</description>\n <location>~/.openclaw/workspace/skills/db-schema-gen/SKILL.md</location>\n <version>sha256:c511ce8bb306f227</version>\n </skill>\n <skill>\n <name>deep-research-pro</name>\n <description>Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.</description>\n <location>~/.openclaw/workspace/skills/deep-research-pro/SKILL.md</location>\n <version>sha256:a780f8bbec442198</version>\n </skill>\n <skill>\n <name>diagram-maker</name>\n <description>Create SVG/HTML or Excalidraw diagrams for concepts, architecture, flows, and whiteboards.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker/SKILL.md</location>\n <version>sha256:6195e03fcb04a1a6</version>\n </skill>\n <skill>\n <name>dingtalk-channel-rules</name>\n <description>钉钉会话输出规则。在钉钉会话中始终生效。</description>\n <location>~/.openclaw/plugin-skills/dingtalk-channel-rules/SKILL.md</location>\n <version>sha256:4abd7ff39fd8ab23</version>\n </skill>\n <skill>\n <name>dingtalk-troubleshoot</name>\n <description>钉钉连接器问题排查。包含 dws CLI 常见错误处理、授权问题排查和连接故障诊断。\n当 dws 命令执行失败、授权异常、连接中断时自动激活。</description>\n <location>~/.openclaw/plugin-skills/dingtalk-troubleshoot/SKILL.md</location>\n <version>sha256:831e1260e77bcf9b</version>\n </skill>\n <skill>\n <name>docker-essentials</name>\n <description>Essential Docker commands and workflows for container management, image operations, and debugging.</description>\n <location>~/.openclaw/workspace/skills/docker-essentials/SKILL.md</location>\n <version>sha256:bf8120febd5275b0</version>\n </skill>\n <skill>\n <name>dws</name>\n <description>管理钉钉产品能力(AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/开放平台文档/钉钉文档/钉钉云盘/AI听记/邮箱/在线电子表格/知识库等)。当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报（钉钉日志模版）、读写钉钉文档、上传下载云盘文件、查询听记纪要、收发邮件、读写在线电子表格(axls)、管理钉钉知识库时使用。</description>\n <location>~/.openclaw/skills/dws/SKILL.md</location>\n <version>sha256:25f131a2e41eeeca</version>\n </skill>\n <skill>\n <name>dws-cli</name>\n <description>在钉钉会话中通过 dws CLI 管理钉钉产品能力（AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/工作台等）。\n当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报时使用。</description>\n <location>~/.openclaw/plugin-skills/dws-cli/SKILL.md</location>\n <version>sha256:e1e0cb89e56c9a8d</version>\n </skill>\n <skill>\n <name>healthcheck</name>\n <description>Audit/harden OpenClaw hosts: SSH, firewall, updates, exposure, backups, disk encryption, gateway security.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck/SKILL.md</location>\n <version>sha256:518ec6e0482cf1c7</version>\n </skill>\n <skill>\n <name>humanizer</name>\n <description>Remove signs of AI-generated writing from text. Use when editing or reviewing\ntext to make it sound more natural and human-written. Based on Wikipedia's\ncomprehensive "Signs of AI writing" guide. Detects and fixes patterns including:\ninflated symbolism, promotional language, superficial -ing analyses, vague\nattributions, em dash overuse, rule of three, AI vocabulary words, negative\nparallelisms, and excessive conjunctive phrases.</description>\n <location>~/.openclaw/workspace/skills/humanizer/SKILL.md</location>\n <version>sha256:d7ce483d368e4301</version>\n </skill>\n <skill>\n <name>imap-smtp-email</name>\n <description>Read and send email via IMAP/SMTP. Check for new/unread messages, fetch content, search mailboxes, mark as read/unread, and send emails with attachments. Supports multiple accounts. 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No API keys required.</description>\n <location>~/.openclaw/workspace/skills/multi-search-engine/SKILL.md</location>\n <version>sha256:ef2d2706e82ad0fc</version>\n </skill>\n <skill>\n <name>MySQL</name>\n <description>Write correct MySQL queries with proper character sets, indexing, transactions, and production patterns.</description>\n <location>~/.openclaw/workspace/skills/MySQL/SKILL.md</location>\n <version>sha256:97003e1d9502f459</version>\n </skill>\n <skill>\n <name>news-summary</name>\n <description>This skill should be used when the user asks for news updates, daily briefings, or what's happening in the world. Fetches news from trusted international RSS feeds and can create voice summaries.</description>\n <location>~/.openclaw/workspace/skills/news-summary/SKILL.md</location>\n <version>sha256:1b4c45b56f567567</version>\n </skill>\n <skill>\n <name>node-connect</name>\n <description>Diagnose OpenClaw Android, iOS, or macOS node pairing, QR/setup code, route, auth, and connection failures.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md</location>\n <version>sha256:cc39026fd84e5cfa</version>\n </skill>\n <skill>\n <name>node-inspect-debugger</name>\n <description>Debug Node.js with node inspect, --inspect, breakpoints, CDP, heap, and CPU profiles.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md</location>\n <version>sha256:50d2f6828eaf4bbf</version>\n </skill>\n <skill>\n <name>obsidian-official-cli</name>\n <description>Work with Obsidian vaults using the official Obsidian CLI (v1.12+). Open, search, create, move, and manage notes from the terminal. Use when working with Obsidian vaults for note management, file operations, searching content, managing tasks, properties, links, plugins, themes, sync operations, or any command-line interaction with Obsidian.</description>\n <location>~/.openclaw/workspace/skills/obsidian-official-cli/SKILL.md</location>\n <version>sha256:d9c66873957818a1</version>\n </skill>\n <skill>\n <name>opencode-controller</name>\n <description>Control and operate Opencode via slash commands. Use this skill to manage sessions, select models, switch agents (plan/build), and coordinate coding through Opencode.</description>\n <location>~/.openclaw/workspace/skills/opencode-controller/SKILL.md</location>\n <version>sha256:6535df08ba8b0bbc</version>\n </skill>\n <skill>\n <name>openspec</name>\n <description>Spec-driven development with OpenSpec CLI. Use when building features, migrations, refactors, or any structured development work. Manages proposal → specs → design → tasks → implementation workflows. Supports custom schemas (TDD, rapid, etc.). Trigger on requests involving feature planning, spec writing, change management, or when /opsx commands are mentioned.</description>\n <location>~/.openclaw/workspace/skills/openspec/SKILL.md</location>\n <version>sha256:720f832d1879e281</version>\n </skill>\n <skill>\n <name>python-debugpy</name>\n <description>Debug Python with pdb, breakpoint(), post-mortem inspection, and debugpy remote attach.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md</location>\n <version>sha256:bfb1891204b67260</version>\n </skill>\n <skill>\n <name>qiushi-openclaw-skills</name>\n <description>求是 OpenClaw Skills 是基于毛泽东思想方法论的 AI Agent 技能集合，按照 OpenClaw 技能格式进行改造，旨在为 AI 提供系统化的思考和行动框架。</description>\n <location>~/.openclaw/workspace/skills/qiushi-openclaw-skill/SKILL.md</location>\n <version>sha256:b21d933b7f61584d</version>\n </skill>\n <skill>\n <name>requirements-analyst</name>\n <description>将产品需求转化为前后端可执行的技术规范，输出离线性优先的结构化文档。当用户提出产品需求、PRD、功能描述或模糊想法时自动触发。</description>\n <location>~/.openclaw/workspace/skills/requirements-analyst/SKILL.md</location>\n <version>sha256:f766e6b7b585e7e8</version>\n </skill>\n <skill>\n <name>rss-ai-reader</name>\n <description>📰 RSS AI 阅读器 — 自动抓取订阅、LLM生成摘要、多渠道推送！\n支持 Claude/OpenAI 生成中文摘要，推送到飞书/Telegram/Email。\n触发条件: 用户要求订阅RSS、监控博客、抓取新闻、生成摘要、设置定时抓取、\n"帮我订阅"、"监控这个网站"、"每天推送新闻"、RSS/Atom feed 相关。</description>\n <location>~/.openclaw/workspace/skills/rss-ai-reader/SKILL.md</location>\n <version>sha256:0abcc8438f644cdb</version>\n </skill>\n <skill>\n <name>skill-creator</name>\n <description>Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md</location>\n <version>sha256:d15b25d332d835eb</version>\n </skill>\n <skill>\n <name>spike</name>\n <description>Run throwaway prototypes to validate feasibility, compare approaches, and report a verdict.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md</location>\n <version>sha256:1258cde2d0e53267</version>\n </skill>\n <skill>\n <name>Spreadsheet & Data Wrangling Master</name>\n <description>Complete spreadsheet methodology — data cleanup, transformation, analysis, dashboards, automation, and reporting. 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No ORMs required.</description>\n <location>~/.openclaw/workspace/skills/sql-toolkit/SKILL.md</location>\n <version>sha256:515ecf904449a3cd</version>\n </skill>\n <skill>\n <name>taskflow</name>\n <description>Coordinate multi-step detached tasks as one durable TaskFlow job with owner context, state, waits, and child tasks.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md</location>\n <version>sha256:d8b6a48d329aef0a</version>\n </skill>\n <skill>\n <name>taskflow-inbox-triage</name>\n <description>Example TaskFlow pattern for inbox triage, intent routing, waiting on replies, and later summaries.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md</location>\n <version>sha256:1fe28cd924d8ae2d</version>\n </skill>\n <skill>\n <name>using-superpowers</name>\n <description>Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions</description>\n <location>~/.openclaw/workspace/skills/using-superpowers/SKILL.md</location>\n <version>sha256:81d921b16502091f</version>\n </skill>\n <skill>\n <name>weather</name>\n <description>Get current weather and forecasts (no API key required).</description>\n <location>~/.openclaw/workspace/skills/weather/SKILL.md</location>\n <version>sha256:1ca0c8d768ad603e</version>\n </skill>\n <skill>\n <name>web-search</name>\n <description>This skill should be used when users need to search the web for information, find current content, look up news articles, search for images, or find videos. 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{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","source":"runtime","type":"context.compiled","ts":"2026-07-15T10:06:05.562Z","seq":3,"sourceSeq":80,"sessionId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","sessionKey":"agent:main:dashboard:2fdf88e4-fa3f-46c2-b547-384e2c048b11","runId":"cce96fb1-3bfc-4883-adaf-9111e6c44dd2","workspaceDir":"/home/yangxuan/.openclaw/workspace","provider":"deepseek","modelId":"deepseek-v4-flash","modelApi":"openai-completions","data":{"systemPrompt":{"truncated":true,"reason":"trajectory-field-size-limit","originalChars":39560,"limitChars":32768},"prompt":"update dmp_serp.dmp_im_stock_out set bill_date='2026-01-10',delivery_at='2026-01-25 10:26:19', create_time='2026-01-10 11:03:04', update_time='2026-01-25 10:26:19' where stock_out_no='PD2026000127' and ecid='hsjm';\n把时间等于单据日期。\n-- 生产领料单\n-- 批量更新 dmp_serp.dmp_im_stock_out 的 create_time update_time中的日期部分为 对应的bill_date","messages":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate \n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","timestamp":1784109538113,"idempotencyKey":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"},{"role":"user","content":"保留原时分秒，只改日期部分\nUPDATE dmp_spom.dmp_mrp_main_plan_task SET plan_start_time='2026-07-07 11:03:04',create_time='2026-07-07 10:58:04',update_time='2026-07-07 11:03:04' WHERE ecid='kanda' AND plan_no='PLAN2026071414255193535522';\n-- 物料计划主表\n-- 批量更新 dmp_spom.dmp_mrp_main_plan_task 的 create_time update_time中的日期部分为 对应的plan_start_time","timestamp":1784109596434,"idempotencyKey":"7c28a842-8a9f-4cc4-9094-1298d4ce1a5c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**物料计划主表 `dmp_mrp_main_plan_task`**，要把 `create_time` 和 `update_time` 的日期部分改为对应的 `plan_start_time`，保留原时分秒。\n\n## 更新脚本\n\n```sql\nUPDATE dmp_spom.dmp_mrp_main_plan_task\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'kanda';\n```\n\n范围条件？我看你前面说的是\"计划开始时间是7月份的数据\"，但 `plan_start_time` 看样例已经是 7 月份。你对范围有要求吗？比如：\n\n```sql\n-- 如果只要 plan_start_time 在7月份的数据\nAND plan_start_time >= '2026-07-01' AND plan_start_time < '2026-08-01'\n\n-- 或者只要 plan_start_time 日期和 create_time 日期不一致的（避免无意义更新）\nAND DATE(plan_start_time) != DATE(create_time)\n```\n\n需要加范围条件吗？还是直接全量更新 `ecid = 'kanda'` 的所有记录？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":1021,"output":340,"cacheRead":26880,"cacheWrite":0,"totalTokens":28241,"cost":{"input":0.001021,"output":0.0006799999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0017009999999999998}},"stopReason":"stop","timestamp":1784109597165,"responseId":"3546056a-f6d1-4805-b0d2-e4d5739d2293"},{"role":"user","content":"采购订单\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37' where ecid = 'hsjm' and order_no ='PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 16:10:47', update_time ='2026-01-12 16:10:47' where ecid = 'hsjm' and order_no ='PO2026000002';\n把 时间等于下单时间。\n-- 采购订单\n-- 批量更新 dmp_serp.dmp_mc_purchase_order 的 create_time update_time中的日期部分为 对应的order_date\n\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\n把 时间等于下单时间。\n\n-- 采购明细表\n-- 批量更新 dmp_serp.dmp_mc_purchase_order_detail 的 create_time update_time中的日期部分为 对应的order_date","timestamp":1784109736511,"idempotencyKey":"dea79fe3-9e82-4fcc-932b-78fe7ffb7ea2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，两个表一起处理，都是**采购订单**相关，用 `order_date` 作为日期源。\n\n## 采购订单主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购订单明细表\n\n明细表需要通过 `order_no` 和 `ecid` 关联主表获取 `order_date`：\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order_detail pd\nJOIN dmp_serp.dmp_mc_purchase_order po \n ON pd.ecid = po.ecid AND pd.order_no = po.order_no\nSET \n pd.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pd.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE pd.ecid = 'hsjm';\n```\n\n同样你提到的 **plan_arrival_date**——明细表里也有这个字段，看你样例里也在改它。但你的需求描述里只提了 `create_time` 和 `update_time`，`plan_arrival_date` 是否需要基于主表的 `plan_arrival_date` 同步更新？如果需要，可以加上：\n\n```sql\n-- 在明细表的 SET 中加上 plan_arrival_date 同步\n pd.plan_arrival_date = po.plan_arrival_date,\n```\n\n---\n\n汇总一下你到目前为止的更新清单：\n\n| 序号 | 表 | 日期源字段 |\n|------|-----|-----------|\n| 1 | `dmp_serp.dmp_om_order` | `om_orderdate` |\n| 2 | `dmp_serp.dmp_om_productinfo` | 关联主表 `om_orderdate` |\n| 3 | `dmp_spom.dmp_mrp_main_plan_task` | `plan_start_time` |\n| 4 | `dmp_serp.dmp_mc_purchase_order` | `order_date` |\n| 5 | `dmp_serp.dmp_mc_purchase_order_detail` | 关联主表 `order_date` |\n\n还有其他表要处理吗？一次性都帮你搞定 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":537,"output":666,"cacheRead":28160,"cacheWrite":0,"totalTokens":29363,"cost":{"input":0.0005369999999999999,"output":0.0013319999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0018689999999999998}},"stopReason":"stop","timestamp":1784109737239,"responseId":"4b7762d3-e202-4784-90ea-1934b8437ee9"},{"role":"user","content":"采购到货\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 14:59:11', update_time = '2026-01-22 14:59:11' where ecid = 'hsjm' and arrival_no = 'PAD2026000001';\n\n\n把 时间等于送货时间。\n-- 采购到货主表\n\n\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\n\n把 时间等于送货时间。\n-- 采购到货明细","timestamp":1784109773108,"idempotencyKey":"c1f0893e-59e7-4e66-8ebf-c96466a88991:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `ship_date`（送货时间/发货时间）。\n\n## 采购到货主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购到货明细表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival_detail ad\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON ad.ecid = a.ecid AND ad.arrival_no = a.arrival_no\nSET \n ad.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n ad.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ad.ecid = 'hsjm';\n```\n\n不过我看你的例子里，`ship_date` 和 `arrival_date` 都是 `'2026-01-22'`（同一天）。你说\"时间等于**送货时间**\"，那就是用 `ship_date` 作为日期源，没错吧？还是说你想用 `arrival_date`（到货时间）？\n\n---\n\n## 📋 完整更新清单（截至目前）\n\n| 序号 | 表 | 数据库 | 日期源字段 | 关联方式 |\n|------|-----|--------|-----------|---------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 直接更新 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate` | JOIN 主表 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 直接更新 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 直接更新 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date` | JOIN 主表 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 直接更新 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date` | JOIN 主表 |\n\n还继续有吗？一次性整完 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":427,"output":719,"cacheRead":29312,"cacheWrite":0,"totalTokens":30458,"cost":{"input":0.00042699999999999997,"output":0.001438,"cacheRead":0,"cacheWrite":0,"total":0.001865}},"stopReason":"stop","timestamp":1784109773806,"responseId":"8409c206-8436-4c31-93df-a6c9c78ea7a5"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验","timestamp":1784109808938,"idempotencyKey":"4b7a78ce-766c-439b-8784-ec9eef3f92ac:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**来料检验表**，需要关联**采购到货单**获取 `ship_date`。\n\n关联关系：`qc_task_inspect` 通过某个字段关联到采购到货单？我先看看常见关联方式——通常来料检验单会记录 `arrival_no`（到货单号）和 `ecid`。\n\n如果 `qc_task_inspect` 里有 `arrival_no` 字段，关联到 `dmp_mc_purchase_arrival`：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect qi\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON qi.ecid = a.ecid AND qi.arrival_no = a.arrival_no\nSET \n qi.insp_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.insp_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE qi.ecid = 'hsjm';\n```\n\n不过我需要确认一下——`qc_task_inspect` 里**关联采购到货单的字段名是什么**？常见的有：\n- `arrival_no` — 到货单号\n- `src_bill_no` — 来源单据号\n\n你能看看表结构确认一下关联字段吗？或者直接告诉我 `qc_task_inspect` 里哪个字段存的是到货单号就行。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":317,"output":444,"cacheRead":30336,"cacheWrite":0,"totalTokens":31097,"cost":{"input":0.000317,"output":0.000888,"cacheRead":0,"cacheWrite":0,"total":0.001205}},"stopReason":"stop","timestamp":1784109809545,"responseId":"a97cc980-d1b1-4640-9631-1a5bc07b2155"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验 只有主表","timestamp":1784109834801,"idempotencyKey":"1b1a78a5-b104-491c-8c1a-3388b55520a1:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"只有主表，没有关联明细。那 `qc_task_inspect` 直接用某个字段关联到采购到货单获取 `ship_date`。我需要先看看这个表里有什么关联字段。\n\n让我查一下表结构："},{"type":"toolCall","id":"call00zNFXflO9uvHF88gvemNV1946","name":"exec","arguments":{"command":"mysql -u root -p'YourPassword' -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null || echo \"NEED_PASSWORD\""},"partialArgs":"{\"command\": \"mysql -u root -p'YourPassword' -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null || echo \\\"NEED_PASSWORD\\\"\"}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":320,"output":127,"cacheRead":30976,"cacheWrite":0,"totalTokens":31423,"cost":{"input":0.00031999999999999997,"output":0.000254,"cacheRead":0,"cacheWrite":0,"total":0.000574}},"stopReason":"toolUse","timestamp":1784109835616,"responseId":"6d7b9ef4-7af8-4b71-a201-06dba58c46a8"},{"role":"toolResult","toolCallId":"call00zNFXflO9uvHF88gvemNV1946","toolName":"exec","content":[{"type":"text","text":"NEED_PASSWORD"}],"isError":false,"timestamp":1784109838817},{"role":"assistant","content":[{"type":"toolCall","id":"call00PIuYMg0px60fCGWCIhay2037","name":"exec","arguments":{"command":"mysql -u root -p -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null | head -50","timeout":10},"partialArgs":"{\"command\": \"mysql -u root -p -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null | head -50\", \"timeout\": 10}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":79,"output":90,"cacheRead":31360,"cacheWrite":0,"totalTokens":31529,"cost":{"input":0.000079,"output":0.00017999999999999998,"cacheRead":0,"cacheWrite":0,"total":0.000259}},"stopReason":"toolUse","timestamp":1784109838831,"responseId":"1ac67ea0-15ab-4d4d-8d1a-bec64bd8a1be"},{"role":"toolResult","toolCallId":"call00PIuYMg0px60fCGWCIhay2037","toolName":"exec","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1784109840424},{"role":"assistant","content":[{"type":"text","text":"没有直连数据库的权限，没关系。你看看 `qc_task_inspect` 表里有什么字段可以用来关联到采购到货单？比如：\n\n- `arrival_no`（到货单号）\n- `src_bill_no` / `source_no`（来源单号）\n- `order_no`（采购订单号）\n- 或者其它什么字段？\n\n你告诉我关联字段名，我就能直接写出完整的 SQL 了。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":55,"output":92,"cacheRead":31488,"cacheWrite":0,"totalTokens":31635,"cost":{"input":0.000054999999999999995,"output":0.000184,"cacheRead":0,"cacheWrite":0,"total":0.000239}},"stopReason":"stop","timestamp":1784109840437,"responseId":"e2a7cf1e-c246-4d51-b8a5-498bd181dfce"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验\n-- 批量更新 dmp_smes.qc_task_inspect 的 create_time update_time中的日期部分为 对应insp_time","timestamp":1784109869504,"idempotencyKey":"31a50ea4-daa6-44a6-b525-6e085ebd2335:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"啊，看明白了！你的意思是 **直接用 `insp_time` 作为日期源**，不需要关联到货单：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单汇总\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|--------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 否 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（关联主表） | 是 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 否 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 否 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（关联主表） | 是 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 否 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（关联主表） | 是 |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | 否 |\n\n还有要处理的表吗？一起搞定 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":242,"output":471,"cacheRead":31616,"cacheWrite":0,"totalTokens":32329,"cost":{"input":0.000242,"output":0.0009419999999999999,"cacheRead":0,"cacheWrite":0,"total":0.001184}},"stopReason":"stop","timestamp":1784109870180,"responseId":"0bddd8b3-54ef-4280-b497-c5f6e7c4c117"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in set bill_date='2026-01-23',completed_at='2026-01-24 10:33:27', create_time='2026-01-23 09:56:17',update_time='2026-01-24 10:33:27' where stock_in_no='PE2026000002' and ecid ='hsjm';\n把时间等于最后入库时间。\n-- 采购入库主表\n-- 批量更新 dmp_serp.dmp_im_stock_in 的 create_time update_time中的日期部分为 对应的completed_at","timestamp":1784109898245,"idempotencyKey":"19ea56c9-af6f-4a6e-8331-4c25e67fc817:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `completed_at`（最后入库时间）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（9个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|:----:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n\n还继续有吗？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":229,"output":499,"cacheRead":32256,"cacheWrite":0,"totalTokens":32984,"cost":{"input":0.00022899999999999998,"output":0.000998,"cacheRead":0,"cacheWrite":0,"total":0.001227}},"stopReason":"stop","timestamp":1784109898887,"responseId":"4df6ab45-0f41-4730-9b14-34965a8d2fc5"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in_out_flow_detail set stock_date='2026-01-24',bill_date='2026-01-23',update_time='2026-01-24 09:12:43',create_time='2026-01-23 09:46:37' where flow_no='SIO20260410000001' and ecid ='hsjm';\n\n把时间等于最后入库时间。\n-- 采购出入库记录\n-- 批量更新 dmp_serp.dmp_im_stock_in_out_flow_detail 的 create_time update_time中的日期部分为 对应的stock_date","timestamp":1784109928282,"idempotencyKey":"fc11b4ae-ecb7-44e7-b501-01b59e37bf0c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `stock_date`：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in_out_flow_detail\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（10个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n\n还有吗？一次全整完，然后我给你生成一个**完整的 SQL 脚本文件**，方便你一次性执行 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":247,"output":551,"cacheRead":32896,"cacheWrite":0,"totalTokens":33694,"cost":{"input":0.000247,"output":0.001102,"cacheRead":0,"cacheWrite":0,"total":0.001349}},"stopReason":"stop","timestamp":1784109928948,"responseId":"530e1437-c5c6-4d13-9bd9-ceb4ee9ee99d"}],"tools":[{"name":"agents_list","description":"List agent ids allowed for `sessions_spawn runtime=\"subagent\"`.","parameters":{"type":"object","properties":{}}},{"name":"apply_patch","description":"Apply a patch to one or more files using the apply_patch format. The input should include *** Begin Patch and *** End Patch markers.","parameters":{"type":"object","required":["input"],"properties":{"input":{"type":"string","description":"Patch content using the *** Begin Patch/End Patch format."}}}},{"name":"create_goal","description":"Create a goal only when explicitly requested by the user or system instructions. Fails if a goal already exists; use user-facing goal controls to clear it.","parameters":{"type":"object","required":["objective"],"properties":{"objective":{"type":"string","description":"Concrete objective to pursue. Create only when explicitly requested."},"token_budget":{"type":"number","description":"Optional positive token budget for this goal."}}}},{"name":"cron","description":"Manage Gateway cron jobs and wake events: reminders, check-back-later, delayed follow-ups, recurring work. Do not emulate scheduling with exec sleep/process polling.\n\nMain cron => system events for heartbeat. Isolated cron => background task in `openclaw tasks`.\n\nACTIONS:\n- status: scheduler status\n- list: compact job summaries; includeDisabled true includes disabled; use get for full job details; agentId filter auto-filled from session\n- get: one job; needs jobId\n- add: create job; needs job object\n- update: patch job; needs jobId + patch\n- remove: delete job; needs jobId\n- run: run only if due by default; needs jobId; pass runMode=\"force\" to trigger now\n- runs: run history; needs jobId\n- wake: send wake event; needs text, optional mode; defaults the target to the calling session/agent. Pass top-level sessionKey/agentId to wake a different lane owned by the calling agent.\n\nJOB SCHEMA (for add action):\n{\n \"name\": \"string\",\n \"schedule\": { ... }, // required\n \"trigger\": { \"script\": \"...\", \"once\": false }, // optional condition gate for every/cron\n \"payload\": { ... }, // required\n \"delivery\": { ... }, // optional announce for isolated/current/session, webhook for any target\n \"sessionTarget\": \"main\" | \"isolated\" | \"current\" | \"session:<id>\",\n \"enabled\": true | false // default true\n}\n\nSESSION TARGET OPTIONS:\n- \"main\": main session; requires payload.kind=\"systemEvent\"\n- \"isolated\": ephemeral isolated session; requires payload.kind=\"agentTurn\"\n- \"current\": bind current session at creation\n- \"session:<id>\": persistent named session\n\nDEFAULTS:\n- payload.kind=\"systemEvent\" → defaults to \"main\"\n- payload.kind=\"agentTurn\" → defaults to \"isolated\"\nCurrent binding needs sessionTarget=\"current\".\n\nSCHEDULE TYPES (schedule.kind):\n- \"at\": one-shot absolute time\n { \"kind\": \"at\", \"at\": \"<ISO-8601 timestamp>\" }\n- \"every\": recurring interval\n { \"kind\": \"every\", \"everyMs\": <ms>, \"anchorMs\": <optional-ms> }\n- \"cron\": expr in supplied timezone, or Gateway host local timezone when tz omitted\n { \"kind\": \"cron\", \"expr\": \"<cron-expression>\", \"tz\": \"<optional-IANA-timezone>\" }\n Write expr in local wall-clock time; do not convert the requested local time to UTC first.\n tz omitted => Gateway host local timezone, not UTC.\n Example 6pm Shanghai daily: { \"kind\": \"cron\", \"expr\": \"0 18 * * *\", \"tz\": \"Asia/Shanghai\" }\n\nOptional trigger scripts poll headlessly on every/cron schedules and run the payload only when they return { fire: true }.\n\nFor \"at\", ISO timestamps without timezone are UTC.\n\nPAYLOAD TYPES (payload.kind):\n- \"systemEvent\": inject text as system event\n { \"kind\": \"systemEvent\", \"text\": \"<message>\" }\n- \"agentTurn\": run agent with prompt; isolated/current/session only\n { \"kind\": \"agentTurn\", \"message\": \"<prompt>\", \"model\": \"<optional>\", \"thinking\": \"<optional>\", \"timeoutSeconds\": <optional, 0=no timeout> }\n\nDELIVERY (top-level):\n { \"mode\": \"none|announce|webhook\", \"channel\": \"<optional>\", \"to\": \"<optional>\", \"threadId\": \"<optional>\", \"bestEffort\": <optional-bool> }\n - isolated agentTurn default when omitted: \"announce\"\n - announce: send to chat channel; isolated/current/session only; optional channel/to\n - threadId: chat thread/topic id\n - webhook: POST finished-run event to delivery.to URL\n - Specific chat/recipient: set announce delivery.channel/to; do not call messaging tools inside run.\n\nCRITICAL CONSTRAINTS:\n- sessionTarget=\"main\" REQUIRES payload.kind=\"systemEvent\"\n- sessionTarget=\"isolated\" | \"current\" | \"session:xxx\" REQUIRES payload.kind=\"agentTurn\"\n- Webhook: delivery.mode=\"webhook\" and delivery.to URL.\nDefault: prefer isolated agentTurn jobs unless the user explicitly wants current-session binding.\n\nRESTRICTED CRON RUNS:\n- Some isolated cron runs get narrow self-cleanup grant: status/list self-only, get/runs current job only, mutation only remove current job.\n\nWAKE MODES (for wake action):\n- \"next-heartbeat\" default: wake next heartbeat\n- \"now\": wake immediately\n\nUse jobId canonical; id accepted compat. contextMessages (0-10) adds previous messages as job context.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"includeDisabled":{"type":"boolean"},"job":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"additionalProperties":true},"jobId":{"type":"string"},"id":{"type":"string"},"patch":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"additionalProperties":true},"text":{"type":"string"},"mode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"runMode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Run mode for action=\"run\": omitted defaults to \"due\"; use \"force\" to trigger now."},"contextMessages":{"type":"integer","minimum":0,"maximum":10},"agentId":{"type":"string","description":"List filter for `action: \"list\"`; wake target override for `action: \"wake\"` (defaults to the calling agent when omitted on wake)"},"sessionKey":{"type":"string","description":"Wake target override for `action: \"wake\"`: route the event to another session owned by the calling agent. Defaults to the resolved calling-session key when omitted."}},"additionalProperties":true}},{"name":"edit","description":"Edit a single file using exact text replacement. Every edits[].oldText must match a unique, non-overlapping region of the original file. If two changes affect the same block or nearby lines, merge them into one edit instead of emitting overlapping edits. Do not include large unchanged regions just to connect distant changes.","parameters":{"type":"object","required":["path","edits"],"properties":{"path":{"type":"string","description":"Path to the file to edit (relative or absolute)"},"edits":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"One or more targeted replacements. Each edit is matched against the original file, not incrementally. Do not include overlapping or nested edits. If two changes touch the same block or nearby lines, merge them into one edit instead."}},"additionalProperties":false}},{"name":"exec","description":"Execute shell commands with background continuation for work that starts now. Use yieldMs/background to continue later via process tool. For long-running work started now, rely on automatic completion wake when it is enabled and the command emits output or fails; otherwise use process to confirm completion. Use process whenever you need logs, status, input, or intervention. Do not use exec sleep or delay loops for reminders or deferred follow-ups; use cron instead. Use pty=true for TTY-required commands (terminal UIs, coding agents).","parameters":{"type":"object","required":["command"],"properties":{"command":{"type":"string","description":"Shell command to execute"},"workdir":{"type":"string","description":"Working directory. Blank/whitespace values are invalid; omit to use the default cwd."},"env":{"type":"object","patternProperties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"yieldMs":{"type":"number","description":"Milliseconds to wait before backgrounding (default 10000)"},"background":{"type":"boolean","description":"Run in background immediately"},"timeout":{"type":"number","description":"Timeout in seconds (optional, kills process on expiry)"},"pty":{"type":"boolean","description":"Run in a pseudo-terminal (PTY) when available (TTY-required CLIs, coding agents)"},"elevated":{"type":"boolean","description":"Run on the host with elevated permissions (if allowed)"},"host":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Exec host/target (auto|sandbox|gateway|node)."},"security":{"type":"string","description":"Ignored for normal calls; exec security is set by tools.exec.security and host approvals."},"ask":{"type":"string","description":"Baseline ask comes from tools.exec.ask and host approvals; channel-origin calls ignore per-call ask when effective host ask is off."},"node":{"type":"string","description":"Node id/name for host=node."}}}},{"name":"gateway","description":"Gateway restart/config/update. Before config edits, use config.schema.lookup with targeted dot path. Prefer config.patch for partial merge; config.apply only full replace. For config.patch that intentionally removes array entries, pass replacePaths with the exact affected array path. Writes hot-reload or restart as needed. Always pass human `note` for post-restart delivery. If post-restart work must continue internally, pass one-shot `continuationMessage`; visible follow-up from that turn must use the message tool. Do not write restart sentinel files directly.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"delayMs":{"type":"integer","minimum":0},"reason":{"type":"string"},"continuationMessage":{"type":"string"},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"path":{"type":"string"},"raw":{"type":"string"},"baseHash":{"type":"string"},"replacePaths":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"maxItems":256},"sessionKey":{"type":"string"},"note":{"type":"string"},"restartDelayMs":{"type":"integer","minimum":0}}}},{"name":"get_goal","description":"Get the current goal for this thread, including status and token usage.","parameters":{"type":"object","properties":{}}},{"name":"image","description":"Analyze images with available vision model. Use image for one path/URL, images for max 20. Prompt says what to inspect.","parameters":{"type":"object","properties":{"prompt":{"type":"string"},"image":{"type":"string","description":"One image path/URL."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Image paths/URLs; maxImages default 20."},"model":{"type":"string"},"maxBytesMb":{"type":"number","exclusiveMinimum":0},"maxImages":{"type":"integer","minimum":1}}}},{"name":"image_generate","description":"Create/edit images. Session chats: background task; do not call image_generate again for same request; wait completion, then report through the current visible-reply contract with generated media attached using structured media fields. Transparent: outputFormat=\"png\" or \"webp\" + background=\"transparent\"; OpenAI also supports openai.background and routes default model to gpt-image-1.5. Use action=\"list\" for providers/models/readiness/auth, \"status\" for active task.","parameters":{"type":"object","properties":{"action":{"type":"string","description":"\"generate\" default, \"status\" active task, \"list\" providers/models."},"prompt":{"type":"string","description":"Image prompt."},"image":{"type":"string","description":"Reference image path/URL for edit."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference images for edit or style reference; max 14."},"model":{"type":"string","description":"Provider/model override, e.g. openai/gpt-image-2; transparent OpenAI: openai/gpt-image-1.5."},"filename":{"type":"string","description":"Output filename hint; basename preserved in managed media dir."},"size":{"type":"string","description":"Size hint: 1024x1024, 1536x1024, 1024x1536, 2048x2048, 3840x2160."},"aspectRatio":{"type":"string","description":"Aspect ratio: 1:1, 2:1, 20:9, 19.5:9, 2:3, 3:2, 2.35:1, 3:4, 4:3, 4:5, 5:4, 9:16, 9:19.5, 9:20, 16:9, 21:9, 1:2, 4:1, 1:4, 8:1, 1:8."},"resolution":{"type":"string","description":"Resolution: 1K, 2K, 4K; useful for Google."},"quality":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Quality: low, medium, high, auto."},"outputFormat":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Output format: png, jpeg, webp."},"background":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Background: transparent, opaque, auto. Transparent needs png/webp output."},"openai":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"fal":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"count":{"type":"integer","description":"Image count 1-4.","minimum":1,"maximum":4},"timeoutMs":{"type":"integer","description":"Provider timeout ms (300000 tends to be a safe amount).","minimum":1}}}},{"name":"memory_get","description":"Safe exact excerpt read from MEMORY.md or memory/*.md. Defaults to a bounded excerpt when lines are omitted, includes truncation/continuation info when more content exists, and `corpus=wiki` reads from registered compiled-wiki supplements.","parameters":{"type":"object","properties":{"path":{"type":"string"},"from":{"type":"integer","minimum":1},"lines":{"type":"integer","minimum":1},"corpus":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}},"required":["path"],"additionalProperties":false}},{"name":"memory_search","description":"Mandatory recall step: semantically search MEMORY.md + memory/*.md (and optional session transcripts) before answering questions about prior work, decisions, dates, people, preferences, or todos. Optional `corpus=wiki` or `corpus=all` also searches registered compiled-wiki supplements. `corpus=memory` restricts hits to indexed memory files (excludes session transcript chunks from ranking). `corpus=sessions` restricts hits to indexed session transcripts (same visibility rules as session history tools). If response has disabled=true, memory retrieval is unavailable and should be surfaced to the user.","parameters":{"type":"object","properties":{"query":{"type":"string"},"maxResults":{"type":"integer","minimum":1},"minScore":{"type":"number"},"corpus":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}},"required":["query"],"additionalProperties":false}},{"name":"message","description":"Send/delete/manage channel messages. Supports actions: send.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"channel":{"type":"string"},"target":{"type":"string","description":"Recipient/channel: E.164 for WhatsApp/Signal, Telegram chat id/@username, Discord/Slack/Mattermost <channelId|user:ID|channel:ID>, or iMessage handle/chat_id"},"targets":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"accountId":{"type":"string"},"dryRun":{"type":"boolean"},"message":{"type":"string"},"effectId":{"type":"string","description":"Effect id/name for sendWithEffect."},"effect":{"type":"string","description":"Alias for effectId."},"media":{"type":"string","description":"Media URL/path. data: use buffer."},"filename":{"type":"string"},"buffer":{"type":"string","description":"Base64 attachment payload; data URL ok."},"contentType":{"type":"string"},"mimeType":{"type":"string"},"caption":{"type":"string"},"attachments":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Structured attachments; each entry uses media."},"replyTo":{"type":"string"},"threadId":{"type":"string"},"asVoice":{"type":"boolean"},"silent":{"type":"boolean"},"quoteText":{"type":"string","description":"Telegram reply quote text."},"gifPlayback":{"type":"boolean"},"forceDocument":{"type":"boolean","description":"Send image/GIF/video as document; avoids compression."},"asDocument":{"type":"boolean","description":"Alias for forceDocument."},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1}}}},{"name":"node_inference","description":"Discover and run chat-capable Ollama models installed on paired desktop/server nodes. Use action=discover first, then action=run with a node and model from that result. Inference stays on the selected node.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"node":{"type":"string","description":"Connected node id or display name. Required when ambiguous."},"model":{"type":"string","description":"Exact local model name returned by discover."},"prompt":{"type":"string","description":"Prompt for action=run."},"system":{"type":"string","description":"Optional system prompt for action=run."},"temperature":{"type":"number","minimum":0,"maximum":2},"maxTokens":{"type":"integer","minimum":1,"maximum":8192},"timeoutMs":{"type":"integer","minimum":1,"maximum":600000}},"additionalProperties":false}},{"name":"nodes","description":"Discover/control paired nodes: status, describe, pairing, notify, camera/photos/screen/location/notifications/invoke. Use file_fetch for files.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"node":{"type":"string"},"requestId":{"type":"string"},"title":{"type":"string"},"body":{"type":"string"},"sound":{"type":"string"},"priority":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"delivery":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"facing":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"camera_snap: front/back/both; camera_clip: front/back only."},"maxWidth":{"type":"integer","minimum":1},"quality":{"type":"number","minimum":0,"maximum":1},"delayMs":{"type":"integer","minimum":0},"deviceId":{"type":"string"},"limit":{"type":"integer","minimum":1,"maximum":20},"duration":{"type":"string"},"durationMs":{"type":"integer","minimum":1,"maximum":300000},"includeAudio":{"type":"boolean"},"fps":{"type":"number","exclusiveMinimum":0},"screenIndex":{"type":"integer","minimum":0},"outPath":{"type":"string"},"maxAgeMs":{"type":"integer","minimum":0},"locationTimeoutMs":{"type":"integer","minimum":1},"desiredAccuracy":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"notificationAction":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"notificationKey":{"type":"string"},"notificationReplyText":{"type":"string"},"invokeCommand":{"type":"string"},"invokeParamsJson":{"type":"string"},"invokeTimeoutMs":{"type":"integer","minimum":1}}}},{"name":"pdf","description":"Analyze PDFs with model. Anthropic/Google native PDF when supported; else text/image extraction. Use pdf for one, pdfs for max 10; prompt says what to inspect.","parameters":{"type":"object","properties":{"prompt":{"type":"string"},"pdf":{"type":"string","description":"One PDF path/URL."},"pdfs":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"PDF paths/URLs; max 10."},"pages":{"type":"string","description":"Pages, e.g. \"1-5\", \"1,3,5-7\"; default all."},"model":{"type":"string"},"maxBytesMb":{"type":"number","exclusiveMinimum":0}}}},{"name":"process","description":"Manage running exec sessions for commands already started: list, poll, log, write, send-keys, submit, paste, kill. Use poll/log when you need status, logs, quiet-success confirmation, or completion confirmation when automatic completion wake is unavailable. Use poll/log also for input-wait hints. Use write/send-keys/submit/paste/kill for input or intervention. Do not use process polling to emulate timers or reminders; use cron for scheduled follow-ups.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","description":"Process action (list|poll|log|write|send-keys|submit|paste|kill|clear|remove)"},"sessionId":{"type":"string","description":"Session id for actions other than list"},"data":{"type":"string","description":"Data to write for write"},"keys":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Key tokens to send for send-keys"},"hex":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Hex bytes to send for send-keys"},"literal":{"type":"string","description":"Literal string for send-keys"},"text":{"type":"string","description":"Text to paste for paste"},"bracketed":{"type":"boolean","description":"Wrap paste in bracketed mode"},"eof":{"type":"boolean","description":"Close stdin after write"},"offset":{"type":"number","description":"Log offset"},"limit":{"type":"number","description":"Log length"},"timeout":{"type":"number","description":"For poll: wait up to this many milliseconds before returning; max 30000 ms, higher values are clamped to 30000","minimum":0}}}},{"name":"read","description":"Read the contents of a file. Supports text files and images (jpg, png, gif, webp, bmp). Images are sent as attachments. For text files, output is truncated to 2000 lines or 50KB (whichever is hit first). Use offset/limit for large files. When you need the full file, continue with offset until complete.","parameters":{"type":"object","required":["path"],"properties":{"path":{"type":"string","description":"Path to the file to read (relative or absolute)"},"offset":{"type":"number","description":"Line number to start reading from (1-indexed)"},"limit":{"type":"number","description":"Maximum number of lines to read"}}}},{"name":"session_status","description":"Show /status-like card for current/visible session: model, usage, time, cost, tasks. Use `sessionKey=\"current\"` for current session; UI labels like `openclaw-tui` are not keys. `model` sets session override; `model=default` resets. Use for active model/session config questions.","parameters":{"type":"object","properties":{"sessionKey":{"type":"string"},"model":{"type":"string"}}}},{"name":"sessions_history","description":"Fetch sanitized history for visible session. Use before replying, debugging, resuming; supports limit, offset pagination, and tool-message inclusion.","parameters":{"type":"object","required":["sessionKey"],"properties":{"sessionKey":{"type":"string"},"limit":{"type":"integer","minimum":1},"offset":{"type":"integer","minimum":0},"includeTools":{"type":"boolean"}}}},{"name":"sessions_list","description":"List visible sessions; filter by kind, label, agentId, search, activity, archive state. Use before sessions_history or sessions_send target selection.","parameters":{"type":"object","properties":{"kinds":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"limit":{"type":"integer","minimum":1},"activeMinutes":{"type":"integer","minimum":1},"messageLimit":{"type":"integer","minimum":0},"label":{"type":"string","minLength":1},"agentId":{"type":"string","minLength":1,"maxLength":64},"search":{"type":"string","minLength":1},"archived":{"type":"boolean"},"includeDerivedTitles":{"type":"boolean"},"includeLastMessage":{"type":"boolean"}}}},{"name":"sessions_send","description":"Send message to visible session by sessionKey/label, or configured agent by agentId; sessionKey wins when redundant label metadata is present. Thread-scoped chats rejected; target parent channel session. Creates missing configured-agent main session; waits for reply when available.","parameters":{"type":"object","required":["message"],"properties":{"sessionKey":{"type":"string"},"label":{"type":"string","minLength":1,"maxLength":512},"agentId":{"type":"string","minLength":1,"maxLength":64},"message":{"type":"string"},"timeoutSeconds":{"type":"integer","minimum":0}}}},{"name":"sessions_spawn","description":"Spawn clean child session; default `runtime=\"subagent\"`. `mode=\"run\"` one-shot background work. Subagents inherit parent workspace. Native subagents get task in first visible `[Subagent Task]` message. Native only: `context=\"fork\"` only when child needs current transcript; else omit or `isolated`. Use for fresh child-session work. Delegate sidecar/parallel tasks: batch file reads, multi-step searches, data collection. Avoid delegating quick lookups or single-file reads unless policy prefers delegation. After spawning, do non-overlapping work while run-mode results return.","parameters":{"type":"object","required":["task"],"properties":{"task":{"type":"string"},"taskName":{"type":"string","description":"Stable alias for later targeting; lowercase letters/digits/underscores/hyphens, starts letter."},"label":{"type":"string"},"runtime":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"agentId":{"type":"string"},"model":{"type":"string"},"thinking":{"type":"string"},"cwd":{"type":"string"},"mode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"cleanup":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"sandbox":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"context":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Native context. Omit/\"isolated\" for clean child; \"fork\" only when child needs requester transcript."},"lightContext":{"type":"boolean","description":"Light bootstrap context; runtime=\"subagent\" only."},"attachments":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"maxItems":50},"attachAs":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}}}},{"name":"sessions_yield","description":"End current turn. Use after spawning subagents; results arrive as next message.","parameters":{"type":"object","properties":{"message":{"type":"string"}}}},{"name":"skill_workshop","description":"Create, update, revise, list, inspect, apply, reject, or quarantine Skill Workshop proposals when reusable procedures should be captured, improved, or explicitly approved.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"create = new skill; update = existing live skill; revise = existing pending proposal; list/inspect discover pending proposals (not filesystem search); apply/reject/quarantine are explicit lifecycle actions."},"proposal_id":{"type":"string","description":"Existing proposal id for action=inspect, action=revise, action=apply, action=reject, or action=quarantine."},"name":{"type":"string","description":"Skill/proposal name. Required for create; for inspect/revise when proposal_id is unknown, resolves a pending proposal or returns candidates."},"query":{"type":"string","description":"Optional query for action=list."},"status":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Optional proposal status filter for action=list."},"limit":{"type":"integer","minimum":1,"maximum":50,"description":"Maximum proposals to return for action=list. Defaults to 20."},"description":{"type":"string","maxLength":160,"description":"Skill description for create/update/revise; max 160 bytes. On update, concise text shortens the proposal listing entry."},"skill_name":{"type":"string","description":"Existing skill name or key for action=update."},"proposal_content":{"type":"string","description":"Full proposed procedure markdown for action=create, action=update, or action=revise. It will be stored as PROPOSAL.md. Keep under configured skills.workshop.maxSkillBytes; default max is 40000 bytes."},"support_files":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Optional support files to store with the proposal."},"goal":{"type":"string","description":"Proposal or improvement goal."},"evidence":{"type":"string","description":"Short evidence or notes."},"reason":{"type":"string","description":"Optional reason for action=apply, action=reject, or action=quarantine."}},"additionalProperties":false}},{"name":"subagents","description":"List active and recent subagents for the requester session. If sessions_yield exists, use it for completion; do not poll wait loops.","parameters":{"type":"object","properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"recentMinutes":{"type":"integer","minimum":1}}}},{"name":"tts","description":"Use only for explicit audio intent (voice/speech/TTS) or active TTS config. Never use for ordinary text replies. Audio auto-delivered from tool result; after success follow reply instructions, no duplicate text/audio.","parameters":{"type":"object","required":["text"],"properties":{"text":{"type":"string","description":"Text to speak."},"channel":{"type":"string","description":"Channel id; output-format hint."},"timeoutMs":{"type":"integer","description":"Provider timeout ms.","minimum":1}}}},{"name":"update_goal","description":"Mark the current goal complete only when achieved, or blocked only after the same blocking condition recurs for at least three consecutive goal turns. Do not use blocked for ordinary difficulty or missing polish.","parameters":{"type":"object","required":["status"],"properties":{"status":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"complete | blocked."},"note":{"type":"string","description":"Short status note."}}}},{"name":"update_plan","description":"Update current run plan. Use for non-trivial multi-step work; keep plan current while executing. Short steps; max one `in_progress`; skip for simple one-step work.","parameters":{"type":"object","required":["plan"],"properties":{"explanation":{"type":"string","description":"Short note: what changed."},"plan":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"minItems":1,"description":"Ordered steps; max one in_progress."}}}},{"name":"video_generate","description":"Create videos. Session chats: background task; do not call video_generate again for same request; wait completion, then report through the current visible-reply contract with generated media attached using structured media fields. \"status\" checks active task. Duration may round to provider-supported value.","parameters":{"type":"object","properties":{"action":{"type":"string","description":"\"generate\" default, \"status\" active task, \"list\" providers/models."},"prompt":{"type":"string","description":"Video prompt."},"image":{"type":"string","description":"One reference image path/URL."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference images; max 9."},"imageRoles":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"`image` + `images` roles by index after de-dupe. Values: first_frame, last_frame, reference_image; empty string leaves unset."},"video":{"type":"string","description":"One reference video path/URL."},"videos":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference videos; max 4."},"videoRoles":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"`video` + `videos` roles by index after de-dupe. Value: reference_video; empty string leaves unset."},"model":{"type":"string","description":"Provider/model override, e.g. qwen/wan2.6-t2v."},"filename":{"type":"string","description":"Output filename hint; basename preserved in managed media dir."},"size":{"type":"string","description":"Size hint, e.g. 1280x720, 1920x1080."},"aspectRatio":{"type":"string","description":"Aspect ratio: 1:1, 16:9, 9:16, \"adaptive\", or provider value; unsupported normalized/ignored."},"resolution":{"type":"string","description":"Resolution: 360P, 480P, 540P, 720P, 768P, 1080P, 4K, or provider value; unsupported normalized/ignored."},"durationSeconds":{"type":"integer","description":"Target seconds; may round to nearest supported duration.","minimum":1},"audio":{"type":"boolean","description":"Generated-audio toggle."},"watermark":{"type":"boolean","description":"Watermark toggle."},"providerOptions":{"type":"object","patternProperties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Provider JSON options, e.g. {\"seed\":42}. Keys/types must match provider capabilities; mismatch skips candidate. Use action=list for accepted keys."},"timeoutMs":{"type":"integer","description":"Provider timeout ms.","minimum":1}}}},{"name":"write","description":"Write content to a file. Creates the file if it doesn't exist, overwrites if it does. Automatically creates parent directories.","parameters":{"type":"object","required":["path","content"],"properties":{"path":{"type":"string","description":"Path to the file to write (relative or absolute)"},"content":{"type":"string","description":"Content to write to the file"}}}}],"imagesCount":0,"streamStrategy":"boundary-aware:openai-completions","transport":"auto","transcriptLeafId":"150eda4d"}}
|
||
{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","source":"runtime","type":"prompt.submitted","ts":"2026-07-15T10:06:05.606Z","seq":4,"sourceSeq":81,"sessionId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","sessionKey":"agent:main:dashboard:2fdf88e4-fa3f-46c2-b547-384e2c048b11","runId":"cce96fb1-3bfc-4883-adaf-9111e6c44dd2","workspaceDir":"/home/yangxuan/.openclaw/workspace","provider":"deepseek","modelId":"deepseek-v4-flash","modelApi":"openai-completions","data":{"prompt":"update dmp_serp.dmp_im_stock_out set bill_date='2026-01-10',delivery_at='2026-01-25 10:26:19', create_time='2026-01-10 11:03:04', update_time='2026-01-25 10:26:19' where stock_out_no='PD2026000127' and ecid='hsjm';\n把时间等于单据日期。\n-- 生产领料单\n-- 批量更新 dmp_serp.dmp_im_stock_out 的 create_time update_time中的日期部分为 对应的bill_date","systemPrompt":{"truncated":true,"reason":"trajectory-field-size-limit","originalChars":39560,"limitChars":32768},"messages":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate \n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","timestamp":1784109538113,"idempotencyKey":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"},{"role":"user","content":"保留原时分秒，只改日期部分\nUPDATE dmp_spom.dmp_mrp_main_plan_task SET plan_start_time='2026-07-07 11:03:04',create_time='2026-07-07 10:58:04',update_time='2026-07-07 11:03:04' WHERE ecid='kanda' AND plan_no='PLAN2026071414255193535522';\n-- 物料计划主表\n-- 批量更新 dmp_spom.dmp_mrp_main_plan_task 的 create_time update_time中的日期部分为 对应的plan_start_time","timestamp":1784109596434,"idempotencyKey":"7c28a842-8a9f-4cc4-9094-1298d4ce1a5c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**物料计划主表 `dmp_mrp_main_plan_task`**，要把 `create_time` 和 `update_time` 的日期部分改为对应的 `plan_start_time`，保留原时分秒。\n\n## 更新脚本\n\n```sql\nUPDATE dmp_spom.dmp_mrp_main_plan_task\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'kanda';\n```\n\n范围条件？我看你前面说的是\"计划开始时间是7月份的数据\"，但 `plan_start_time` 看样例已经是 7 月份。你对范围有要求吗？比如：\n\n```sql\n-- 如果只要 plan_start_time 在7月份的数据\nAND plan_start_time >= '2026-07-01' AND plan_start_time < '2026-08-01'\n\n-- 或者只要 plan_start_time 日期和 create_time 日期不一致的（避免无意义更新）\nAND DATE(plan_start_time) != DATE(create_time)\n```\n\n需要加范围条件吗？还是直接全量更新 `ecid = 'kanda'` 的所有记录？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":1021,"output":340,"cacheRead":26880,"cacheWrite":0,"totalTokens":28241,"cost":{"input":0.001021,"output":0.0006799999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0017009999999999998}},"stopReason":"stop","timestamp":1784109597165,"responseId":"3546056a-f6d1-4805-b0d2-e4d5739d2293"},{"role":"user","content":"采购订单\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37' where ecid = 'hsjm' and order_no ='PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 16:10:47', update_time ='2026-01-12 16:10:47' where ecid = 'hsjm' and order_no ='PO2026000002';\n把 时间等于下单时间。\n-- 采购订单\n-- 批量更新 dmp_serp.dmp_mc_purchase_order 的 create_time update_time中的日期部分为 对应的order_date\n\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\n把 时间等于下单时间。\n\n-- 采购明细表\n-- 批量更新 dmp_serp.dmp_mc_purchase_order_detail 的 create_time update_time中的日期部分为 对应的order_date","timestamp":1784109736511,"idempotencyKey":"dea79fe3-9e82-4fcc-932b-78fe7ffb7ea2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，两个表一起处理，都是**采购订单**相关，用 `order_date` 作为日期源。\n\n## 采购订单主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购订单明细表\n\n明细表需要通过 `order_no` 和 `ecid` 关联主表获取 `order_date`：\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order_detail pd\nJOIN dmp_serp.dmp_mc_purchase_order po \n ON pd.ecid = po.ecid AND pd.order_no = po.order_no\nSET \n pd.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pd.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE pd.ecid = 'hsjm';\n```\n\n同样你提到的 **plan_arrival_date**——明细表里也有这个字段，看你样例里也在改它。但你的需求描述里只提了 `create_time` 和 `update_time`，`plan_arrival_date` 是否需要基于主表的 `plan_arrival_date` 同步更新？如果需要，可以加上：\n\n```sql\n-- 在明细表的 SET 中加上 plan_arrival_date 同步\n pd.plan_arrival_date = po.plan_arrival_date,\n```\n\n---\n\n汇总一下你到目前为止的更新清单：\n\n| 序号 | 表 | 日期源字段 |\n|------|-----|-----------|\n| 1 | `dmp_serp.dmp_om_order` | `om_orderdate` |\n| 2 | `dmp_serp.dmp_om_productinfo` | 关联主表 `om_orderdate` |\n| 3 | `dmp_spom.dmp_mrp_main_plan_task` | `plan_start_time` |\n| 4 | `dmp_serp.dmp_mc_purchase_order` | `order_date` |\n| 5 | `dmp_serp.dmp_mc_purchase_order_detail` | 关联主表 `order_date` |\n\n还有其他表要处理吗？一次性都帮你搞定 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":537,"output":666,"cacheRead":28160,"cacheWrite":0,"totalTokens":29363,"cost":{"input":0.0005369999999999999,"output":0.0013319999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0018689999999999998}},"stopReason":"stop","timestamp":1784109737239,"responseId":"4b7762d3-e202-4784-90ea-1934b8437ee9"},{"role":"user","content":"采购到货\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 14:59:11', update_time = '2026-01-22 14:59:11' where ecid = 'hsjm' and arrival_no = 'PAD2026000001';\n\n\n把 时间等于送货时间。\n-- 采购到货主表\n\n\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\n\n把 时间等于送货时间。\n-- 采购到货明细","timestamp":1784109773108,"idempotencyKey":"c1f0893e-59e7-4e66-8ebf-c96466a88991:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `ship_date`（送货时间/发货时间）。\n\n## 采购到货主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购到货明细表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival_detail ad\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON ad.ecid = a.ecid AND ad.arrival_no = a.arrival_no\nSET \n ad.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n ad.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ad.ecid = 'hsjm';\n```\n\n不过我看你的例子里，`ship_date` 和 `arrival_date` 都是 `'2026-01-22'`（同一天）。你说\"时间等于**送货时间**\"，那就是用 `ship_date` 作为日期源，没错吧？还是说你想用 `arrival_date`（到货时间）？\n\n---\n\n## 📋 完整更新清单（截至目前）\n\n| 序号 | 表 | 数据库 | 日期源字段 | 关联方式 |\n|------|-----|--------|-----------|---------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 直接更新 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate` | JOIN 主表 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 直接更新 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 直接更新 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date` | JOIN 主表 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 直接更新 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date` | JOIN 主表 |\n\n还继续有吗？一次性整完 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":427,"output":719,"cacheRead":29312,"cacheWrite":0,"totalTokens":30458,"cost":{"input":0.00042699999999999997,"output":0.001438,"cacheRead":0,"cacheWrite":0,"total":0.001865}},"stopReason":"stop","timestamp":1784109773806,"responseId":"8409c206-8436-4c31-93df-a6c9c78ea7a5"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验","timestamp":1784109808938,"idempotencyKey":"4b7a78ce-766c-439b-8784-ec9eef3f92ac:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**来料检验表**，需要关联**采购到货单**获取 `ship_date`。\n\n关联关系：`qc_task_inspect` 通过某个字段关联到采购到货单？我先看看常见关联方式——通常来料检验单会记录 `arrival_no`（到货单号）和 `ecid`。\n\n如果 `qc_task_inspect` 里有 `arrival_no` 字段，关联到 `dmp_mc_purchase_arrival`：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect qi\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON qi.ecid = a.ecid AND qi.arrival_no = a.arrival_no\nSET \n qi.insp_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.insp_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE qi.ecid = 'hsjm';\n```\n\n不过我需要确认一下——`qc_task_inspect` 里**关联采购到货单的字段名是什么**？常见的有：\n- `arrival_no` — 到货单号\n- `src_bill_no` — 来源单据号\n\n你能看看表结构确认一下关联字段吗？或者直接告诉我 `qc_task_inspect` 里哪个字段存的是到货单号就行。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":317,"output":444,"cacheRead":30336,"cacheWrite":0,"totalTokens":31097,"cost":{"input":0.000317,"output":0.000888,"cacheRead":0,"cacheWrite":0,"total":0.001205}},"stopReason":"stop","timestamp":1784109809545,"responseId":"a97cc980-d1b1-4640-9631-1a5bc07b2155"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验 只有主表","timestamp":1784109834801,"idempotencyKey":"1b1a78a5-b104-491c-8c1a-3388b55520a1:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"只有主表，没有关联明细。那 `qc_task_inspect` 直接用某个字段关联到采购到货单获取 `ship_date`。我需要先看看这个表里有什么关联字段。\n\n让我查一下表结构："},{"type":"toolCall","id":"call00zNFXflO9uvHF88gvemNV1946","name":"exec","arguments":{"command":"mysql -u root -p'YourPassword' -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null || echo \"NEED_PASSWORD\""},"partialArgs":"{\"command\": \"mysql -u root -p'YourPassword' -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null || echo \\\"NEED_PASSWORD\\\"\"}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":320,"output":127,"cacheRead":30976,"cacheWrite":0,"totalTokens":31423,"cost":{"input":0.00031999999999999997,"output":0.000254,"cacheRead":0,"cacheWrite":0,"total":0.000574}},"stopReason":"toolUse","timestamp":1784109835616,"responseId":"6d7b9ef4-7af8-4b71-a201-06dba58c46a8"},{"role":"toolResult","toolCallId":"call00zNFXflO9uvHF88gvemNV1946","toolName":"exec","content":[{"type":"text","text":"NEED_PASSWORD"}],"isError":false,"timestamp":1784109838817},{"role":"assistant","content":[{"type":"toolCall","id":"call00PIuYMg0px60fCGWCIhay2037","name":"exec","arguments":{"command":"mysql -u root -p -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null | head -50","timeout":10},"partialArgs":"{\"command\": \"mysql -u root -p -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null | head -50\", \"timeout\": 10}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":79,"output":90,"cacheRead":31360,"cacheWrite":0,"totalTokens":31529,"cost":{"input":0.000079,"output":0.00017999999999999998,"cacheRead":0,"cacheWrite":0,"total":0.000259}},"stopReason":"toolUse","timestamp":1784109838831,"responseId":"1ac67ea0-15ab-4d4d-8d1a-bec64bd8a1be"},{"role":"toolResult","toolCallId":"call00PIuYMg0px60fCGWCIhay2037","toolName":"exec","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1784109840424},{"role":"assistant","content":[{"type":"text","text":"没有直连数据库的权限，没关系。你看看 `qc_task_inspect` 表里有什么字段可以用来关联到采购到货单？比如：\n\n- `arrival_no`（到货单号）\n- `src_bill_no` / `source_no`（来源单号）\n- `order_no`（采购订单号）\n- 或者其它什么字段？\n\n你告诉我关联字段名，我就能直接写出完整的 SQL 了。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":55,"output":92,"cacheRead":31488,"cacheWrite":0,"totalTokens":31635,"cost":{"input":0.000054999999999999995,"output":0.000184,"cacheRead":0,"cacheWrite":0,"total":0.000239}},"stopReason":"stop","timestamp":1784109840437,"responseId":"e2a7cf1e-c246-4d51-b8a5-498bd181dfce"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验\n-- 批量更新 dmp_smes.qc_task_inspect 的 create_time update_time中的日期部分为 对应insp_time","timestamp":1784109869504,"idempotencyKey":"31a50ea4-daa6-44a6-b525-6e085ebd2335:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"啊，看明白了！你的意思是 **直接用 `insp_time` 作为日期源**，不需要关联到货单：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单汇总\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|--------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 否 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（关联主表） | 是 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 否 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 否 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（关联主表） | 是 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 否 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（关联主表） | 是 |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | 否 |\n\n还有要处理的表吗？一起搞定 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":242,"output":471,"cacheRead":31616,"cacheWrite":0,"totalTokens":32329,"cost":{"input":0.000242,"output":0.0009419999999999999,"cacheRead":0,"cacheWrite":0,"total":0.001184}},"stopReason":"stop","timestamp":1784109870180,"responseId":"0bddd8b3-54ef-4280-b497-c5f6e7c4c117"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in set bill_date='2026-01-23',completed_at='2026-01-24 10:33:27', create_time='2026-01-23 09:56:17',update_time='2026-01-24 10:33:27' where stock_in_no='PE2026000002' and ecid ='hsjm';\n把时间等于最后入库时间。\n-- 采购入库主表\n-- 批量更新 dmp_serp.dmp_im_stock_in 的 create_time update_time中的日期部分为 对应的completed_at","timestamp":1784109898245,"idempotencyKey":"19ea56c9-af6f-4a6e-8331-4c25e67fc817:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `completed_at`（最后入库时间）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（9个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|:----:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n\n还继续有吗？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":229,"output":499,"cacheRead":32256,"cacheWrite":0,"totalTokens":32984,"cost":{"input":0.00022899999999999998,"output":0.000998,"cacheRead":0,"cacheWrite":0,"total":0.001227}},"stopReason":"stop","timestamp":1784109898887,"responseId":"4df6ab45-0f41-4730-9b14-34965a8d2fc5"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in_out_flow_detail set stock_date='2026-01-24',bill_date='2026-01-23',update_time='2026-01-24 09:12:43',create_time='2026-01-23 09:46:37' where flow_no='SIO20260410000001' and ecid ='hsjm';\n\n把时间等于最后入库时间。\n-- 采购出入库记录\n-- 批量更新 dmp_serp.dmp_im_stock_in_out_flow_detail 的 create_time update_time中的日期部分为 对应的stock_date","timestamp":1784109928282,"idempotencyKey":"fc11b4ae-ecb7-44e7-b501-01b59e37bf0c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `stock_date`：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in_out_flow_detail\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（10个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n\n还有吗？一次全整完，然后我给你生成一个**完整的 SQL 脚本文件**，方便你一次性执行 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":247,"output":551,"cacheRead":32896,"cacheWrite":0,"totalTokens":33694,"cost":{"input":0.000247,"output":0.001102,"cacheRead":0,"cacheWrite":0,"total":0.001349}},"stopReason":"stop","timestamp":1784109928948,"responseId":"530e1437-c5c6-4d13-9bd9-ceb4ee9ee99d"}],"imagesCount":0}}
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{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","source":"runtime","type":"model.completed","ts":"2026-07-15T10:06:09.631Z","seq":5,"sourceSeq":82,"sessionId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","sessionKey":"agent:main:dashboard:2fdf88e4-fa3f-46c2-b547-384e2c048b11","runId":"cce96fb1-3bfc-4883-adaf-9111e6c44dd2","workspaceDir":"/home/yangxuan/.openclaw/workspace","provider":"deepseek","modelId":"deepseek-v4-flash","modelApi":"openai-completions","data":{"aborted":false,"externalAbort":false,"timedOut":false,"idleTimedOut":false,"timedOutDuringCompaction":false,"timedOutDuringToolExecution":false,"timedOutByRunBudget":false,"promptErrorSource":null,"usage":{"input":185,"output":566,"cacheRead":33664,"total":34415},"promptCache":{"lastCallUsage":{"input":185,"output":566,"cacheRead":33664,"cacheWrite":0,"total":34415},"lastCacheTouchAt":1784109965649},"compactionCount":0,"assistantTexts":["明白，日期源是 `bill_date`（单据日期）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_out\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（11个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n\n继续还是可以帮你生成完整脚本了？😄"],"finalPromptText":"update dmp_serp.dmp_im_stock_out set bill_date='2026-01-10',delivery_at='2026-01-25 10:26:19', create_time='2026-01-10 11:03:04', update_time='2026-01-25 10:26:19' where stock_out_no='PD2026000127' and ecid='hsjm';\n把时间等于单据日期。\n-- 生产领料单\n-- 批量更新 dmp_serp.dmp_im_stock_out 的 create_time update_time中的日期部分为 对应的bill_date","messagesSnapshot":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate \n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","timestamp":1784109538113,"idempotencyKey":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"},{"role":"user","content":"保留原时分秒，只改日期部分\nUPDATE dmp_spom.dmp_mrp_main_plan_task SET plan_start_time='2026-07-07 11:03:04',create_time='2026-07-07 10:58:04',update_time='2026-07-07 11:03:04' WHERE ecid='kanda' AND plan_no='PLAN2026071414255193535522';\n-- 物料计划主表\n-- 批量更新 dmp_spom.dmp_mrp_main_plan_task 的 create_time update_time中的日期部分为 对应的plan_start_time","timestamp":1784109596434,"idempotencyKey":"7c28a842-8a9f-4cc4-9094-1298d4ce1a5c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**物料计划主表 `dmp_mrp_main_plan_task`**，要把 `create_time` 和 `update_time` 的日期部分改为对应的 `plan_start_time`，保留原时分秒。\n\n## 更新脚本\n\n```sql\nUPDATE dmp_spom.dmp_mrp_main_plan_task\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'kanda';\n```\n\n范围条件？我看你前面说的是\"计划开始时间是7月份的数据\"，但 `plan_start_time` 看样例已经是 7 月份。你对范围有要求吗？比如：\n\n```sql\n-- 如果只要 plan_start_time 在7月份的数据\nAND plan_start_time >= '2026-07-01' AND plan_start_time < '2026-08-01'\n\n-- 或者只要 plan_start_time 日期和 create_time 日期不一致的（避免无意义更新）\nAND DATE(plan_start_time) != DATE(create_time)\n```\n\n需要加范围条件吗？还是直接全量更新 `ecid = 'kanda'` 的所有记录？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":1021,"output":340,"cacheRead":26880,"cacheWrite":0,"totalTokens":28241,"cost":{"input":0.001021,"output":0.0006799999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0017009999999999998}},"stopReason":"stop","timestamp":1784109597165,"responseId":"3546056a-f6d1-4805-b0d2-e4d5739d2293"},{"role":"user","content":"采购订单\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37' where ecid = 'hsjm' and order_no ='PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 16:10:47', update_time ='2026-01-12 16:10:47' where ecid = 'hsjm' and order_no ='PO2026000002';\n把 时间等于下单时间。\n-- 采购订单\n-- 批量更新 dmp_serp.dmp_mc_purchase_order 的 create_time update_time中的日期部分为 对应的order_date\n\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\n把 时间等于下单时间。\n\n-- 采购明细表\n-- 批量更新 dmp_serp.dmp_mc_purchase_order_detail 的 create_time update_time中的日期部分为 对应的order_date","timestamp":1784109736511,"idempotencyKey":"dea79fe3-9e82-4fcc-932b-78fe7ffb7ea2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，两个表一起处理，都是**采购订单**相关，用 `order_date` 作为日期源。\n\n## 采购订单主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购订单明细表\n\n明细表需要通过 `order_no` 和 `ecid` 关联主表获取 `order_date`：\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order_detail pd\nJOIN dmp_serp.dmp_mc_purchase_order po \n ON pd.ecid = po.ecid AND pd.order_no = po.order_no\nSET \n pd.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pd.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE pd.ecid = 'hsjm';\n```\n\n同样你提到的 **plan_arrival_date**——明细表里也有这个字段，看你样例里也在改它。但你的需求描述里只提了 `create_time` 和 `update_time`，`plan_arrival_date` 是否需要基于主表的 `plan_arrival_date` 同步更新？如果需要，可以加上：\n\n```sql\n-- 在明细表的 SET 中加上 plan_arrival_date 同步\n pd.plan_arrival_date = po.plan_arrival_date,\n```\n\n---\n\n汇总一下你到目前为止的更新清单：\n\n| 序号 | 表 | 日期源字段 |\n|------|-----|-----------|\n| 1 | `dmp_serp.dmp_om_order` | `om_orderdate` |\n| 2 | `dmp_serp.dmp_om_productinfo` | 关联主表 `om_orderdate` |\n| 3 | `dmp_spom.dmp_mrp_main_plan_task` | `plan_start_time` |\n| 4 | `dmp_serp.dmp_mc_purchase_order` | `order_date` |\n| 5 | `dmp_serp.dmp_mc_purchase_order_detail` | 关联主表 `order_date` |\n\n还有其他表要处理吗？一次性都帮你搞定 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":537,"output":666,"cacheRead":28160,"cacheWrite":0,"totalTokens":29363,"cost":{"input":0.0005369999999999999,"output":0.0013319999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0018689999999999998}},"stopReason":"stop","timestamp":1784109737239,"responseId":"4b7762d3-e202-4784-90ea-1934b8437ee9"},{"role":"user","content":"采购到货\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 14:59:11', update_time = '2026-01-22 14:59:11' where ecid = 'hsjm' and arrival_no = 'PAD2026000001';\n\n\n把 时间等于送货时间。\n-- 采购到货主表\n\n\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\n\n把 时间等于送货时间。\n-- 采购到货明细","timestamp":1784109773108,"idempotencyKey":"c1f0893e-59e7-4e66-8ebf-c96466a88991:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `ship_date`（送货时间/发货时间）。\n\n## 采购到货主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购到货明细表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival_detail ad\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON ad.ecid = a.ecid AND ad.arrival_no = a.arrival_no\nSET \n ad.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n ad.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ad.ecid = 'hsjm';\n```\n\n不过我看你的例子里，`ship_date` 和 `arrival_date` 都是 `'2026-01-22'`（同一天）。你说\"时间等于**送货时间**\"，那就是用 `ship_date` 作为日期源，没错吧？还是说你想用 `arrival_date`（到货时间）？\n\n---\n\n## 📋 完整更新清单（截至目前）\n\n| 序号 | 表 | 数据库 | 日期源字段 | 关联方式 |\n|------|-----|--------|-----------|---------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 直接更新 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate` | JOIN 主表 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 直接更新 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 直接更新 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date` | JOIN 主表 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 直接更新 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date` | JOIN 主表 |\n\n还继续有吗？一次性整完 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":427,"output":719,"cacheRead":29312,"cacheWrite":0,"totalTokens":30458,"cost":{"input":0.00042699999999999997,"output":0.001438,"cacheRead":0,"cacheWrite":0,"total":0.001865}},"stopReason":"stop","timestamp":1784109773806,"responseId":"8409c206-8436-4c31-93df-a6c9c78ea7a5"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验","timestamp":1784109808938,"idempotencyKey":"4b7a78ce-766c-439b-8784-ec9eef3f92ac:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**来料检验表**，需要关联**采购到货单**获取 `ship_date`。\n\n关联关系：`qc_task_inspect` 通过某个字段关联到采购到货单？我先看看常见关联方式——通常来料检验单会记录 `arrival_no`（到货单号）和 `ecid`。\n\n如果 `qc_task_inspect` 里有 `arrival_no` 字段，关联到 `dmp_mc_purchase_arrival`：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect qi\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON qi.ecid = a.ecid AND qi.arrival_no = a.arrival_no\nSET \n qi.insp_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.insp_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE qi.ecid = 'hsjm';\n```\n\n不过我需要确认一下——`qc_task_inspect` 里**关联采购到货单的字段名是什么**？常见的有：\n- `arrival_no` — 到货单号\n- `src_bill_no` — 来源单据号\n\n你能看看表结构确认一下关联字段吗？或者直接告诉我 `qc_task_inspect` 里哪个字段存的是到货单号就行。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":317,"output":444,"cacheRead":30336,"cacheWrite":0,"totalTokens":31097,"cost":{"input":0.000317,"output":0.000888,"cacheRead":0,"cacheWrite":0,"total":0.001205}},"stopReason":"stop","timestamp":1784109809545,"responseId":"a97cc980-d1b1-4640-9631-1a5bc07b2155"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验 只有主表","timestamp":1784109834801,"idempotencyKey":"1b1a78a5-b104-491c-8c1a-3388b55520a1:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"只有主表，没有关联明细。那 `qc_task_inspect` 直接用某个字段关联到采购到货单获取 `ship_date`。我需要先看看这个表里有什么关联字段。\n\n让我查一下表结构："},{"type":"toolCall","id":"call00zNFXflO9uvHF88gvemNV1946","name":"exec","arguments":{"command":"mysql -u root -p'YourPassword' -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null || echo \"NEED_PASSWORD\""},"partialArgs":"{\"command\": \"mysql -u root -p'YourPassword' -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null || echo \\\"NEED_PASSWORD\\\"\"}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":320,"output":127,"cacheRead":30976,"cacheWrite":0,"totalTokens":31423,"cost":{"input":0.00031999999999999997,"output":0.000254,"cacheRead":0,"cacheWrite":0,"total":0.000574}},"stopReason":"toolUse","timestamp":1784109835616,"responseId":"6d7b9ef4-7af8-4b71-a201-06dba58c46a8"},{"role":"toolResult","toolCallId":"call00zNFXflO9uvHF88gvemNV1946","toolName":"exec","content":[{"type":"text","text":"NEED_PASSWORD"}],"isError":false,"timestamp":1784109838817},{"role":"assistant","content":[{"type":"toolCall","id":"call00PIuYMg0px60fCGWCIhay2037","name":"exec","arguments":{"command":"mysql -u root -p -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null | head -50","timeout":10},"partialArgs":"{\"command\": \"mysql -u root -p -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null | head -50\", \"timeout\": 10}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":79,"output":90,"cacheRead":31360,"cacheWrite":0,"totalTokens":31529,"cost":{"input":0.000079,"output":0.00017999999999999998,"cacheRead":0,"cacheWrite":0,"total":0.000259}},"stopReason":"toolUse","timestamp":1784109838831,"responseId":"1ac67ea0-15ab-4d4d-8d1a-bec64bd8a1be"},{"role":"toolResult","toolCallId":"call00PIuYMg0px60fCGWCIhay2037","toolName":"exec","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1784109840424},{"role":"assistant","content":[{"type":"text","text":"没有直连数据库的权限，没关系。你看看 `qc_task_inspect` 表里有什么字段可以用来关联到采购到货单？比如：\n\n- `arrival_no`（到货单号）\n- `src_bill_no` / `source_no`（来源单号）\n- `order_no`（采购订单号）\n- 或者其它什么字段？\n\n你告诉我关联字段名，我就能直接写出完整的 SQL 了。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":55,"output":92,"cacheRead":31488,"cacheWrite":0,"totalTokens":31635,"cost":{"input":0.000054999999999999995,"output":0.000184,"cacheRead":0,"cacheWrite":0,"total":0.000239}},"stopReason":"stop","timestamp":1784109840437,"responseId":"e2a7cf1e-c246-4d51-b8a5-498bd181dfce"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验\n-- 批量更新 dmp_smes.qc_task_inspect 的 create_time update_time中的日期部分为 对应insp_time","timestamp":1784109869504,"idempotencyKey":"31a50ea4-daa6-44a6-b525-6e085ebd2335:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"啊，看明白了！你的意思是 **直接用 `insp_time` 作为日期源**，不需要关联到货单：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单汇总\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|--------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 否 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（关联主表） | 是 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 否 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 否 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（关联主表） | 是 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 否 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（关联主表） | 是 |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | 否 |\n\n还有要处理的表吗？一起搞定 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":242,"output":471,"cacheRead":31616,"cacheWrite":0,"totalTokens":32329,"cost":{"input":0.000242,"output":0.0009419999999999999,"cacheRead":0,"cacheWrite":0,"total":0.001184}},"stopReason":"stop","timestamp":1784109870180,"responseId":"0bddd8b3-54ef-4280-b497-c5f6e7c4c117"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in set bill_date='2026-01-23',completed_at='2026-01-24 10:33:27', create_time='2026-01-23 09:56:17',update_time='2026-01-24 10:33:27' where stock_in_no='PE2026000002' and ecid ='hsjm';\n把时间等于最后入库时间。\n-- 采购入库主表\n-- 批量更新 dmp_serp.dmp_im_stock_in 的 create_time update_time中的日期部分为 对应的completed_at","timestamp":1784109898245,"idempotencyKey":"19ea56c9-af6f-4a6e-8331-4c25e67fc817:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `completed_at`（最后入库时间）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（9个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|:----:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n\n还继续有吗？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":229,"output":499,"cacheRead":32256,"cacheWrite":0,"totalTokens":32984,"cost":{"input":0.00022899999999999998,"output":0.000998,"cacheRead":0,"cacheWrite":0,"total":0.001227}},"stopReason":"stop","timestamp":1784109898887,"responseId":"4df6ab45-0f41-4730-9b14-34965a8d2fc5"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in_out_flow_detail set stock_date='2026-01-24',bill_date='2026-01-23',update_time='2026-01-24 09:12:43',create_time='2026-01-23 09:46:37' where flow_no='SIO20260410000001' and ecid ='hsjm';\n\n把时间等于最后入库时间。\n-- 采购出入库记录\n-- 批量更新 dmp_serp.dmp_im_stock_in_out_flow_detail 的 create_time update_time中的日期部分为 对应的stock_date","timestamp":1784109928282,"idempotencyKey":"fc11b4ae-ecb7-44e7-b501-01b59e37bf0c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `stock_date`：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in_out_flow_detail\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（10个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n\n还有吗？一次全整完，然后我给你生成一个**完整的 SQL 脚本文件**，方便你一次性执行 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":247,"output":551,"cacheRead":32896,"cacheWrite":0,"totalTokens":33694,"cost":{"input":0.000247,"output":0.001102,"cacheRead":0,"cacheWrite":0,"total":0.001349}},"stopReason":"stop","timestamp":1784109928948,"responseId":"530e1437-c5c6-4d13-9bd9-ceb4ee9ee99d"},{"role":"user","content":[{"type":"text","text":"update dmp_serp.dmp_im_stock_out set bill_date='2026-01-10',delivery_at='2026-01-25 10:26:19', create_time='2026-01-10 11:03:04', update_time='2026-01-25 10:26:19' where stock_out_no='PD2026000127' and ecid='hsjm';\n把时间等于单据日期。\n-- 生产领料单\n-- 批量更新 dmp_serp.dmp_im_stock_out 的 create_time update_time中的日期部分为 对应的bill_date"}],"timestamp":1784109965618},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `bill_date`（单据日期）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_out\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（11个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n\n继续还是可以帮你生成完整脚本了？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":185,"output":566,"cacheRead":33664,"cacheWrite":0,"totalTokens":34415,"cost":{"input":0.000185,"output":0.001132,"cacheRead":0,"cacheWrite":0,"total":0.001317}},"stopReason":"stop","timestamp":1784109965649,"responseId":"46255802-137d-4009-afcd-6da8548f271b"}]}}
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Use when editing or reviewing\ntext to make it sound more natural and human-written. Based on Wikipedia's\ncomprehensive \"Signs of AI writing\" guide. Detects and fixes patterns including:\ninflated symbolism, promotional language, superficial -ing analyses, vague\nattributions, em dash overuse, rule of three, AI vocabulary words, negative\nparallelisms, and excessive conjunctive phrases.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"imap-smtp-email","name":"imap-smtp-email","description":"Read and send email via IMAP/SMTP. Check for new/unread messages, fetch content, search mailboxes, mark as read/unread, and send emails with attachments. Supports multiple accounts. Works with any IMAP/SMTP server including Gmail, Outlook, 163.com, vip.163.com, 126.com, vip.126.com, 188.com, and vip.188.com.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"meme-maker","name":"meme-maker","description":"Search meme templates, suggest formats, and generate local or hosted image memes.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"multi-search-engine","name":"multi-search-engine","description":"Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"MySQL","name":"MySQL","description":"Write correct MySQL queries with proper character sets, indexing, transactions, and production patterns.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"news-summary","name":"news-summary","description":"This skill should be used when the user asks for news updates, daily briefings, or what's happening in the world. Fetches news from trusted international RSS feeds and can create voice summaries.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"node-connect","name":"node-connect","description":"Diagnose OpenClaw Android, iOS, or macOS node pairing, QR/setup code, route, auth, and connection failures.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"node-inspect-debugger","name":"node-inspect-debugger","description":"Debug Node.js with node inspect, --inspect, breakpoints, CDP, heap, and CPU profiles.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"obsidian-official-cli","name":"obsidian-official-cli","description":"Work with Obsidian vaults using the official Obsidian CLI (v1.12+). Open, search, create, move, and manage notes from the terminal. Use when working with Obsidian vaults for note management, file operations, searching content, managing tasks, properties, links, plugins, themes, sync operations, or any command-line interaction with Obsidian.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"opencode-controller","name":"opencode-controller","description":"Control and operate Opencode via slash commands. Use this skill to manage sessions, select models, switch agents (plan/build), and coordinate coding through Opencode.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"openspec","name":"openspec","description":"Spec-driven development with OpenSpec CLI. Use when building features, migrations, refactors, or any structured development work. Manages proposal → specs → design → tasks → implementation workflows. Supports custom schemas (TDD, rapid, etc.). Trigger on requests involving feature planning, spec writing, change management, or when /opsx commands are mentioned.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/openspec/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/openspec","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/openspec","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/openspec/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"python-debugpy","name":"python-debugpy","description":"Debug Python with pdb, breakpoint(), post-mortem inspection, and debugpy remote attach.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"qiushi-openclaw-skills","name":"qiushi-openclaw-skills","description":"求是 OpenClaw Skills 是基于毛泽东思想方法论的 AI Agent 技能集合，按照 OpenClaw 技能格式进行改造，旨在为 AI 提供系统化的思考和行动框架。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"requirements-analyst","name":"requirements-analyst","description":"将产品需求转化为前后端可执行的技术规范，输出离线性优先的结构化文档。当用户提出产品需求、PRD、功能描述或模糊想法时自动触发。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"rss-ai-reader","name":"rss-ai-reader","description":"📰 RSS AI 阅读器 — 自动抓取订阅、LLM生成摘要、多渠道推送！\n支持 Claude/OpenAI 生成中文摘要，推送到飞书/Telegram/Email。\n触发条件: 用户要求订阅RSS、监控博客、抓取新闻、生成摘要、设置定时抓取、\n\"帮我订阅\"、\"监控这个网站\"、\"每天推送新闻\"、RSS/Atom feed 相关。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"skill-creator","name":"skill-creator","description":"Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"spike","name":"spike","description":"Run throwaway prototypes to validate feasibility, compare approaches, and report a verdict.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"Spreadsheet & Data Wrangling Master","name":"Spreadsheet & Data Wrangling Master","description":"Complete spreadsheet methodology — data cleanup, transformation, analysis, dashboards, automation, and reporting. Works with CSV, Excel, Google Sheets, or any tabular data. Use when the user needs to clean messy data, build reports, create dashboards, automate recurring spreadsheet tasks, or transform data between formats.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"sql-toolkit","name":"sql-toolkit","description":"Query, design, migrate, and optimize SQL databases. Use when working with SQLite, PostgreSQL, or MySQL — schema design, writing queries, creating migrations, indexing, backup/restore, and debugging slow queries. No ORMs required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"taskflow","name":"taskflow","description":"Coordinate multi-step detached tasks as one durable TaskFlow job with owner context, state, waits, and child tasks.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"taskflow-inbox-triage","name":"taskflow-inbox-triage","description":"Example TaskFlow pattern for inbox triage, intent routing, waiting on replies, and later summaries.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"using-superpowers","name":"using-superpowers","description":"Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"weather","name":"weather","description":"Get current weather and forecasts (no API key required).","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/weather/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/weather","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/weather","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/weather/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"web-search","name":"web-search","description":"This skill should be used when users need to search the web for information, find current content, look up news articles, search for images, or find videos. It uses a self-hosted SearXNG instance to return results in clean, formatted output (text, markdown, or JSON). Use for research, fact-checking, finding recent information, or gathering web resources.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/web-search/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/web-search","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/web-search","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/web-search/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true}]},"prompting":{"skillsPrompt":"\n\nThe following skills provide specialized instructions for specific tasks.\nUse the read tool to load a skill's file when the task matches its description.\nIf a skill's <version> differs from a previous turn, re-read its SKILL.md before using it.\nWhen a skill file references a relative path, resolve it against the skill directory (parent of SKILL.md / dirname of the path) and use that absolute path in tool commands.\n\n<available_skills>\n <skill>\n <name>agent-browser</name>\n <description>Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection</description>\n <location>~/.openclaw/workspace/skills/agent-browser-clawdbot/SKILL.md</location>\n <version>sha256:9643b9c65476eedd</version>\n </skill>\n <skill>\n <name>chinese-calendar</name>\n <description>获取中国日历信息，包括节假日、调休安排、工作日判断。使用 timor.tech API，数据每年自动更新。Use when: 需要判断某天是否是工作日、查询节假日安排、了解调休情况。</description>\n <location>~/.openclaw/workspace/skills/chinese-calendar/SKILL.md</location>\n <version>sha256:40a9ba942647e641</version>\n </skill>\n <skill>\n <name>clawhub</name>\n <description>Search ClawHub for skills when a requested capability is not already available; install, verify, update, publish, or sync skills.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/clawhub/SKILL.md</location>\n <version>sha256:6bb70d95cbd1a545</version>\n </skill>\n <skill>\n <name>Code</name>\n <description>Coding workflow with planning, implementation, verification, and testing for clean software development.</description>\n <location>~/.openclaw/workspace/skills/openclaw-code/SKILL.md</location>\n <version>sha256:f09694134cc55cc0</version>\n </skill>\n <skill>\n <name>database-admin</name>\n <description>Comprehensive database administration, schema management, data operations, and optimization. Use when Codex needs to: (1) Create or modify database tables with proper indexing, (2) Perform bulk data insertions with type safety and constraint handling, (3) Execute complex queries with JOINs, aggregations, and subqueries, (4) Optimize query performance through indexing and execution plan analysis, (5) Manage database backups, restores, and migrations, (6) Handle special data types (BIGINT, UUID, JSONB, enums), (7) Implement transactional safety with ACID compliance, or (8) Debug and resolve database errors including constraint violations, type mismatches, and foreign key issues</description>\n <location>~/.openclaw/workspace/skills/database-admin/SKILL.md</location>\n <version>sha256:7649e43727f2fb8b</version>\n </skill>\n <skill>\n <name>database-schema-designer</name>\n <description>Database Schema Designer</description>\n <location>~/.openclaw/workspace/skills/database-schema-designer/SKILL.md</location>\n <version>sha256:3f2282ec8135dfdf</version>\n </skill>\n <skill>\n <name>db-query</name>\n <description>Query project databases with automatic SSH tunnel management. Use when you need to execute SQL queries against configured databases, especially those accessible only via SSH tunnels. Automatically manages SSH connection lifecycle (establishes tunnel before query, closes after). Supports multiple databases distinguished by description/name from config file.</description>\n <location>~/.openclaw/workspace/skills/db-query/SKILL.md</location>\n <version>sha256:eaffe1e617f2b8f2</version>\n </skill>\n <skill>\n <name>db-schema</name>\n <description>Generate database schemas, migrations, and ERD diagrams from plain English descriptions — supports PostgreSQL, MySQL, SQLite, and MongoDB with proper indexes and constraints.</description>\n <location>~/.openclaw/workspace/skills/db-schema-gen/SKILL.md</location>\n <version>sha256:c511ce8bb306f227</version>\n </skill>\n <skill>\n <name>deep-research-pro</name>\n <description>Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.</description>\n <location>~/.openclaw/workspace/skills/deep-research-pro/SKILL.md</location>\n <version>sha256:a780f8bbec442198</version>\n </skill>\n <skill>\n <name>diagram-maker</name>\n <description>Create SVG/HTML or Excalidraw diagrams for concepts, architecture, flows, and whiteboards.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker/SKILL.md</location>\n <version>sha256:6195e03fcb04a1a6</version>\n </skill>\n <skill>\n <name>dingtalk-channel-rules</name>\n <description>钉钉会话输出规则。在钉钉会话中始终生效。</description>\n <location>~/.openclaw/plugin-skills/dingtalk-channel-rules/SKILL.md</location>\n <version>sha256:4abd7ff39fd8ab23</version>\n </skill>\n <skill>\n <name>dingtalk-troubleshoot</name>\n <description>钉钉连接器问题排查。包含 dws CLI 常见错误处理、授权问题排查和连接故障诊断。\n当 dws 命令执行失败、授权异常、连接中断时自动激活。</description>\n <location>~/.openclaw/plugin-skills/dingtalk-troubleshoot/SKILL.md</location>\n <version>sha256:831e1260e77bcf9b</version>\n </skill>\n <skill>\n <name>docker-essentials</name>\n <description>Essential Docker commands and workflows for container management, image operations, and debugging.</description>\n <location>~/.openclaw/workspace/skills/docker-essentials/SKILL.md</location>\n <version>sha256:bf8120febd5275b0</version>\n </skill>\n <skill>\n <name>dws</name>\n <description>管理钉钉产品能力(AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/开放平台文档/钉钉文档/钉钉云盘/AI听记/邮箱/在线电子表格/知识库等)。当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报（钉钉日志模版）、读写钉钉文档、上传下载云盘文件、查询听记纪要、收发邮件、读写在线电子表格(axls)、管理钉钉知识库时使用。</description>\n <location>~/.openclaw/skills/dws/SKILL.md</location>\n <version>sha256:25f131a2e41eeeca</version>\n </skill>\n <skill>\n <name>dws-cli</name>\n <description>在钉钉会话中通过 dws CLI 管理钉钉产品能力（AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/工作台等）。\n当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报时使用。</description>\n <location>~/.openclaw/plugin-skills/dws-cli/SKILL.md</location>\n <version>sha256:e1e0cb89e56c9a8d</version>\n </skill>\n <skill>\n <name>healthcheck</name>\n <description>Audit/harden OpenClaw hosts: SSH, firewall, updates, exposure, backups, disk encryption, gateway security.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck/SKILL.md</location>\n <version>sha256:518ec6e0482cf1c7</version>\n </skill>\n <skill>\n <name>humanizer</name>\n <description>Remove signs of AI-generated writing from text. Use when editing or reviewing\ntext to make it sound more natural and human-written. Based on Wikipedia's\ncomprehensive "Signs of AI writing" guide. Detects and fixes patterns including:\ninflated symbolism, promotional language, superficial -ing analyses, vague\nattributions, em dash overuse, rule of three, AI vocabulary words, negative\nparallelisms, and excessive conjunctive phrases.</description>\n <location>~/.openclaw/workspace/skills/humanizer/SKILL.md</location>\n <version>sha256:d7ce483d368e4301</version>\n </skill>\n <skill>\n <name>imap-smtp-email</name>\n <description>Read and send email via IMAP/SMTP. Check for new/unread messages, fetch content, search mailboxes, mark as read/unread, and send emails with attachments. Supports multiple accounts. Works with any IMAP/SMTP server including Gmail, Outlook, 163.com, vip.163.com, 126.com, vip.126.com, 188.com, and vip.188.com.</description>\n <location>~/.openclaw/workspace/skills/imap-smtp-email/SKILL.md</location>\n <version>sha256:01345a894f2863a4</version>\n </skill>\n <skill>\n <name>meme-maker</name>\n <description>Search meme templates, suggest formats, and generate local or hosted image memes.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md</location>\n <version>sha256:8b8832f9f0f58b16</version>\n </skill>\n <skill>\n <name>multi-search-engine</name>\n <description>Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required.</description>\n <location>~/.openclaw/workspace/skills/multi-search-engine/SKILL.md</location>\n <version>sha256:ef2d2706e82ad0fc</version>\n </skill>\n <skill>\n <name>MySQL</name>\n <description>Write correct MySQL queries with proper character sets, indexing, transactions, and production patterns.</description>\n <location>~/.openclaw/workspace/skills/MySQL/SKILL.md</location>\n <version>sha256:97003e1d9502f459</version>\n </skill>\n <skill>\n <name>news-summary</name>\n <description>This skill should be used when the user asks for news updates, daily briefings, or what's happening in the world. Fetches news from trusted international RSS feeds and can create voice summaries.</description>\n <location>~/.openclaw/workspace/skills/news-summary/SKILL.md</location>\n <version>sha256:1b4c45b56f567567</version>\n </skill>\n <skill>\n <name>node-connect</name>\n <description>Diagnose OpenClaw Android, iOS, or macOS node pairing, QR/setup code, route, auth, and connection failures.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md</location>\n <version>sha256:cc39026fd84e5cfa</version>\n </skill>\n <skill>\n <name>node-inspect-debugger</name>\n <description>Debug Node.js with node inspect, --inspect, breakpoints, CDP, heap, and CPU profiles.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md</location>\n <version>sha256:50d2f6828eaf4bbf</version>\n </skill>\n <skill>\n <name>obsidian-official-cli</name>\n <description>Work with Obsidian vaults using the official Obsidian CLI (v1.12+). Open, search, create, move, and manage notes from the terminal. Use when working with Obsidian vaults for note management, file operations, searching content, managing tasks, properties, links, plugins, themes, sync operations, or any command-line interaction with Obsidian.</description>\n <location>~/.openclaw/workspace/skills/obsidian-official-cli/SKILL.md</location>\n <version>sha256:d9c66873957818a1</version>\n </skill>\n <skill>\n <name>opencode-controller</name>\n <description>Control and operate Opencode via slash commands. Use this skill to manage sessions, select models, switch agents (plan/build), and coordinate coding through Opencode.</description>\n <location>~/.openclaw/workspace/skills/opencode-controller/SKILL.md</location>\n <version>sha256:6535df08ba8b0bbc</version>\n </skill>\n <skill>\n <name>openspec</name>\n <description>Spec-driven development with OpenSpec CLI. Use when building features, migrations, refactors, or any structured development work. Manages proposal → specs → design → tasks → implementation workflows. Supports custom schemas (TDD, rapid, etc.). Trigger on requests involving feature planning, spec writing, change management, or when /opsx commands are mentioned.</description>\n <location>~/.openclaw/workspace/skills/openspec/SKILL.md</location>\n <version>sha256:720f832d1879e281</version>\n </skill>\n <skill>\n <name>python-debugpy</name>\n <description>Debug Python with pdb, breakpoint(), post-mortem inspection, and debugpy remote attach.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md</location>\n <version>sha256:bfb1891204b67260</version>\n </skill>\n <skill>\n <name>qiushi-openclaw-skills</name>\n <description>求是 OpenClaw Skills 是基于毛泽东思想方法论的 AI Agent 技能集合，按照 OpenClaw 技能格式进行改造，旨在为 AI 提供系统化的思考和行动框架。</description>\n <location>~/.openclaw/workspace/skills/qiushi-openclaw-skill/SKILL.md</location>\n <version>sha256:b21d933b7f61584d</version>\n </skill>\n <skill>\n <name>requirements-analyst</name>\n <description>将产品需求转化为前后端可执行的技术规范，输出离线性优先的结构化文档。当用户提出产品需求、PRD、功能描述或模糊想法时自动触发。</description>\n <location>~/.openclaw/workspace/skills/requirements-analyst/SKILL.md</location>\n <version>sha256:f766e6b7b585e7e8</version>\n </skill>\n <skill>\n <name>rss-ai-reader</name>\n <description>📰 RSS AI 阅读器 — 自动抓取订阅、LLM生成摘要、多渠道推送！\n支持 Claude/OpenAI 生成中文摘要，推送到飞书/Telegram/Email。\n触发条件: 用户要求订阅RSS、监控博客、抓取新闻、生成摘要、设置定时抓取、\n"帮我订阅"、"监控这个网站"、"每天推送新闻"、RSS/Atom feed 相关。</description>\n <location>~/.openclaw/workspace/skills/rss-ai-reader/SKILL.md</location>\n <version>sha256:0abcc8438f644cdb</version>\n </skill>\n <skill>\n <name>skill-creator</name>\n <description>Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md</location>\n <version>sha256:d15b25d332d835eb</version>\n </skill>\n <skill>\n <name>spike</name>\n <description>Run throwaway prototypes to validate feasibility, compare approaches, and report a verdict.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md</location>\n <version>sha256:1258cde2d0e53267</version>\n </skill>\n <skill>\n <name>Spreadsheet & Data Wrangling Master</name>\n <description>Complete spreadsheet methodology — data cleanup, transformation, analysis, dashboards, automation, and reporting. Works with CSV, Excel, Google Sheets, or any tabular data. Use when the user needs to clean messy data, build reports, create dashboards, automate recurring spreadsheet tasks, or transform data between formats.</description>\n <location>~/.openclaw/workspace/skills/afrexai-spreadsheet-master/SKILL.md</location>\n <version>sha256:6505a92ae50c1cdd</version>\n </skill>\n <skill>\n <name>sql-toolkit</name>\n <description>Query, design, migrate, and optimize SQL databases. Use when working with SQLite, PostgreSQL, or MySQL — schema design, writing queries, creating migrations, indexing, backup/restore, and debugging slow queries. No ORMs required.</description>\n <location>~/.openclaw/workspace/skills/sql-toolkit/SKILL.md</location>\n <version>sha256:515ecf904449a3cd</version>\n </skill>\n <skill>\n <name>taskflow</name>\n <description>Coordinate multi-step detached tasks as one durable TaskFlow job with owner context, state, waits, and child tasks.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md</location>\n <version>sha256:d8b6a48d329aef0a</version>\n </skill>\n <skill>\n <name>taskflow-inbox-triage</name>\n <description>Example TaskFlow pattern for inbox triage, intent routing, waiting on replies, and later summaries.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md</location>\n <version>sha256:1fe28cd924d8ae2d</version>\n </skill>\n <skill>\n <name>using-superpowers</name>\n <description>Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions</description>\n <location>~/.openclaw/workspace/skills/using-superpowers/SKILL.md</location>\n <version>sha256:81d921b16502091f</version>\n </skill>\n <skill>\n <name>weather</name>\n <description>Get current weather and forecasts (no API key required).</description>\n <location>~/.openclaw/workspace/skills/weather/SKILL.md</location>\n <version>sha256:1ca0c8d768ad603e</version>\n </skill>\n <skill>\n <name>web-search</name>\n <description>This skill should be used when users need to search the web for information, find current content, look up news articles, search for images, or find videos. 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{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","source":"runtime","type":"context.compiled","ts":"2026-07-15T10:06:34.501Z","seq":3,"sourceSeq":87,"sessionId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","sessionKey":"agent:main:dashboard:2fdf88e4-fa3f-46c2-b547-384e2c048b11","runId":"90f480c3-711d-4afa-8813-526c1cba7146","workspaceDir":"/home/yangxuan/.openclaw/workspace","provider":"deepseek","modelId":"deepseek-v4-flash","modelApi":"openai-completions","data":{"systemPrompt":{"truncated":true,"reason":"trajectory-field-size-limit","originalChars":39560,"limitChars":32768},"prompt":"update dmp_serp.dmp_im_stock_in_out_flow_detail set stock_date='2026-04-05',bill_date='2026-03-21',update_time='2026-04-05 14:07:09',create_time='2026-03-21 12:11:27' where flow_no='SIO20260410000236' and ecid ='hsjm';\n把时间等于单据日期。\n-- -领料出库记录\n-- 批量更新 dmp_serp.dmp_im_stock_in_out_flow_detail 的 create_time update_time中的日期部分为 对应的stock_date","messages":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate \n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","timestamp":1784109538113,"idempotencyKey":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"},{"role":"user","content":"保留原时分秒，只改日期部分\nUPDATE dmp_spom.dmp_mrp_main_plan_task SET plan_start_time='2026-07-07 11:03:04',create_time='2026-07-07 10:58:04',update_time='2026-07-07 11:03:04' WHERE ecid='kanda' AND plan_no='PLAN2026071414255193535522';\n-- 物料计划主表\n-- 批量更新 dmp_spom.dmp_mrp_main_plan_task 的 create_time update_time中的日期部分为 对应的plan_start_time","timestamp":1784109596434,"idempotencyKey":"7c28a842-8a9f-4cc4-9094-1298d4ce1a5c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**物料计划主表 `dmp_mrp_main_plan_task`**，要把 `create_time` 和 `update_time` 的日期部分改为对应的 `plan_start_time`，保留原时分秒。\n\n## 更新脚本\n\n```sql\nUPDATE dmp_spom.dmp_mrp_main_plan_task\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'kanda';\n```\n\n范围条件？我看你前面说的是\"计划开始时间是7月份的数据\"，但 `plan_start_time` 看样例已经是 7 月份。你对范围有要求吗？比如：\n\n```sql\n-- 如果只要 plan_start_time 在7月份的数据\nAND plan_start_time >= '2026-07-01' AND plan_start_time < '2026-08-01'\n\n-- 或者只要 plan_start_time 日期和 create_time 日期不一致的（避免无意义更新）\nAND DATE(plan_start_time) != DATE(create_time)\n```\n\n需要加范围条件吗？还是直接全量更新 `ecid = 'kanda'` 的所有记录？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":1021,"output":340,"cacheRead":26880,"cacheWrite":0,"totalTokens":28241,"cost":{"input":0.001021,"output":0.0006799999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0017009999999999998}},"stopReason":"stop","timestamp":1784109597165,"responseId":"3546056a-f6d1-4805-b0d2-e4d5739d2293"},{"role":"user","content":"采购订单\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37' where ecid = 'hsjm' and order_no ='PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 16:10:47', update_time ='2026-01-12 16:10:47' where ecid = 'hsjm' and order_no ='PO2026000002';\n把 时间等于下单时间。\n-- 采购订单\n-- 批量更新 dmp_serp.dmp_mc_purchase_order 的 create_time update_time中的日期部分为 对应的order_date\n\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\n把 时间等于下单时间。\n\n-- 采购明细表\n-- 批量更新 dmp_serp.dmp_mc_purchase_order_detail 的 create_time update_time中的日期部分为 对应的order_date","timestamp":1784109736511,"idempotencyKey":"dea79fe3-9e82-4fcc-932b-78fe7ffb7ea2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，两个表一起处理，都是**采购订单**相关，用 `order_date` 作为日期源。\n\n## 采购订单主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购订单明细表\n\n明细表需要通过 `order_no` 和 `ecid` 关联主表获取 `order_date`：\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order_detail pd\nJOIN dmp_serp.dmp_mc_purchase_order po \n ON pd.ecid = po.ecid AND pd.order_no = po.order_no\nSET \n pd.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pd.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE pd.ecid = 'hsjm';\n```\n\n同样你提到的 **plan_arrival_date**——明细表里也有这个字段，看你样例里也在改它。但你的需求描述里只提了 `create_time` 和 `update_time`，`plan_arrival_date` 是否需要基于主表的 `plan_arrival_date` 同步更新？如果需要，可以加上：\n\n```sql\n-- 在明细表的 SET 中加上 plan_arrival_date 同步\n pd.plan_arrival_date = po.plan_arrival_date,\n```\n\n---\n\n汇总一下你到目前为止的更新清单：\n\n| 序号 | 表 | 日期源字段 |\n|------|-----|-----------|\n| 1 | `dmp_serp.dmp_om_order` | `om_orderdate` |\n| 2 | `dmp_serp.dmp_om_productinfo` | 关联主表 `om_orderdate` |\n| 3 | `dmp_spom.dmp_mrp_main_plan_task` | `plan_start_time` |\n| 4 | `dmp_serp.dmp_mc_purchase_order` | `order_date` |\n| 5 | `dmp_serp.dmp_mc_purchase_order_detail` | 关联主表 `order_date` |\n\n还有其他表要处理吗？一次性都帮你搞定 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":537,"output":666,"cacheRead":28160,"cacheWrite":0,"totalTokens":29363,"cost":{"input":0.0005369999999999999,"output":0.0013319999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0018689999999999998}},"stopReason":"stop","timestamp":1784109737239,"responseId":"4b7762d3-e202-4784-90ea-1934b8437ee9"},{"role":"user","content":"采购到货\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 14:59:11', update_time = '2026-01-22 14:59:11' where ecid = 'hsjm' and arrival_no = 'PAD2026000001';\n\n\n把 时间等于送货时间。\n-- 采购到货主表\n\n\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\n\n把 时间等于送货时间。\n-- 采购到货明细","timestamp":1784109773108,"idempotencyKey":"c1f0893e-59e7-4e66-8ebf-c96466a88991:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `ship_date`（送货时间/发货时间）。\n\n## 采购到货主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购到货明细表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival_detail ad\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON ad.ecid = a.ecid AND ad.arrival_no = a.arrival_no\nSET \n ad.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n ad.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ad.ecid = 'hsjm';\n```\n\n不过我看你的例子里，`ship_date` 和 `arrival_date` 都是 `'2026-01-22'`（同一天）。你说\"时间等于**送货时间**\"，那就是用 `ship_date` 作为日期源，没错吧？还是说你想用 `arrival_date`（到货时间）？\n\n---\n\n## 📋 完整更新清单（截至目前）\n\n| 序号 | 表 | 数据库 | 日期源字段 | 关联方式 |\n|------|-----|--------|-----------|---------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 直接更新 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate` | JOIN 主表 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 直接更新 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 直接更新 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date` | JOIN 主表 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 直接更新 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date` | JOIN 主表 |\n\n还继续有吗？一次性整完 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":427,"output":719,"cacheRead":29312,"cacheWrite":0,"totalTokens":30458,"cost":{"input":0.00042699999999999997,"output":0.001438,"cacheRead":0,"cacheWrite":0,"total":0.001865}},"stopReason":"stop","timestamp":1784109773806,"responseId":"8409c206-8436-4c31-93df-a6c9c78ea7a5"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验","timestamp":1784109808938,"idempotencyKey":"4b7a78ce-766c-439b-8784-ec9eef3f92ac:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**来料检验表**，需要关联**采购到货单**获取 `ship_date`。\n\n关联关系：`qc_task_inspect` 通过某个字段关联到采购到货单？我先看看常见关联方式——通常来料检验单会记录 `arrival_no`（到货单号）和 `ecid`。\n\n如果 `qc_task_inspect` 里有 `arrival_no` 字段，关联到 `dmp_mc_purchase_arrival`：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect qi\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON qi.ecid = a.ecid AND qi.arrival_no = a.arrival_no\nSET \n qi.insp_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.insp_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE qi.ecid = 'hsjm';\n```\n\n不过我需要确认一下——`qc_task_inspect` 里**关联采购到货单的字段名是什么**？常见的有：\n- `arrival_no` — 到货单号\n- `src_bill_no` — 来源单据号\n\n你能看看表结构确认一下关联字段吗？或者直接告诉我 `qc_task_inspect` 里哪个字段存的是到货单号就行。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":317,"output":444,"cacheRead":30336,"cacheWrite":0,"totalTokens":31097,"cost":{"input":0.000317,"output":0.000888,"cacheRead":0,"cacheWrite":0,"total":0.001205}},"stopReason":"stop","timestamp":1784109809545,"responseId":"a97cc980-d1b1-4640-9631-1a5bc07b2155"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验 只有主表","timestamp":1784109834801,"idempotencyKey":"1b1a78a5-b104-491c-8c1a-3388b55520a1:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"只有主表，没有关联明细。那 `qc_task_inspect` 直接用某个字段关联到采购到货单获取 `ship_date`。我需要先看看这个表里有什么关联字段。\n\n让我查一下表结构："},{"type":"toolCall","id":"call00zNFXflO9uvHF88gvemNV1946","name":"exec","arguments":{"command":"mysql -u root -p'YourPassword' -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null || echo \"NEED_PASSWORD\""},"partialArgs":"{\"command\": \"mysql -u root -p'YourPassword' -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null || echo \\\"NEED_PASSWORD\\\"\"}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":320,"output":127,"cacheRead":30976,"cacheWrite":0,"totalTokens":31423,"cost":{"input":0.00031999999999999997,"output":0.000254,"cacheRead":0,"cacheWrite":0,"total":0.000574}},"stopReason":"toolUse","timestamp":1784109835616,"responseId":"6d7b9ef4-7af8-4b71-a201-06dba58c46a8"},{"role":"toolResult","toolCallId":"call00zNFXflO9uvHF88gvemNV1946","toolName":"exec","content":[{"type":"text","text":"NEED_PASSWORD"}],"isError":false,"timestamp":1784109838817},{"role":"assistant","content":[{"type":"toolCall","id":"call00PIuYMg0px60fCGWCIhay2037","name":"exec","arguments":{"command":"mysql -u root -p -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null | head -50","timeout":10},"partialArgs":"{\"command\": \"mysql -u root -p -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null | head -50\", \"timeout\": 10}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":79,"output":90,"cacheRead":31360,"cacheWrite":0,"totalTokens":31529,"cost":{"input":0.000079,"output":0.00017999999999999998,"cacheRead":0,"cacheWrite":0,"total":0.000259}},"stopReason":"toolUse","timestamp":1784109838831,"responseId":"1ac67ea0-15ab-4d4d-8d1a-bec64bd8a1be"},{"role":"toolResult","toolCallId":"call00PIuYMg0px60fCGWCIhay2037","toolName":"exec","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1784109840424},{"role":"assistant","content":[{"type":"text","text":"没有直连数据库的权限，没关系。你看看 `qc_task_inspect` 表里有什么字段可以用来关联到采购到货单？比如：\n\n- `arrival_no`（到货单号）\n- `src_bill_no` / `source_no`（来源单号）\n- `order_no`（采购订单号）\n- 或者其它什么字段？\n\n你告诉我关联字段名，我就能直接写出完整的 SQL 了。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":55,"output":92,"cacheRead":31488,"cacheWrite":0,"totalTokens":31635,"cost":{"input":0.000054999999999999995,"output":0.000184,"cacheRead":0,"cacheWrite":0,"total":0.000239}},"stopReason":"stop","timestamp":1784109840437,"responseId":"e2a7cf1e-c246-4d51-b8a5-498bd181dfce"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验\n-- 批量更新 dmp_smes.qc_task_inspect 的 create_time update_time中的日期部分为 对应insp_time","timestamp":1784109869504,"idempotencyKey":"31a50ea4-daa6-44a6-b525-6e085ebd2335:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"啊，看明白了！你的意思是 **直接用 `insp_time` 作为日期源**，不需要关联到货单：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单汇总\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|--------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 否 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（关联主表） | 是 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 否 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 否 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（关联主表） | 是 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 否 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（关联主表） | 是 |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | 否 |\n\n还有要处理的表吗？一起搞定 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":242,"output":471,"cacheRead":31616,"cacheWrite":0,"totalTokens":32329,"cost":{"input":0.000242,"output":0.0009419999999999999,"cacheRead":0,"cacheWrite":0,"total":0.001184}},"stopReason":"stop","timestamp":1784109870180,"responseId":"0bddd8b3-54ef-4280-b497-c5f6e7c4c117"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in set bill_date='2026-01-23',completed_at='2026-01-24 10:33:27', create_time='2026-01-23 09:56:17',update_time='2026-01-24 10:33:27' where stock_in_no='PE2026000002' and ecid ='hsjm';\n把时间等于最后入库时间。\n-- 采购入库主表\n-- 批量更新 dmp_serp.dmp_im_stock_in 的 create_time update_time中的日期部分为 对应的completed_at","timestamp":1784109898245,"idempotencyKey":"19ea56c9-af6f-4a6e-8331-4c25e67fc817:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `completed_at`（最后入库时间）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（9个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|:----:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n\n还继续有吗？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":229,"output":499,"cacheRead":32256,"cacheWrite":0,"totalTokens":32984,"cost":{"input":0.00022899999999999998,"output":0.000998,"cacheRead":0,"cacheWrite":0,"total":0.001227}},"stopReason":"stop","timestamp":1784109898887,"responseId":"4df6ab45-0f41-4730-9b14-34965a8d2fc5"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in_out_flow_detail set stock_date='2026-01-24',bill_date='2026-01-23',update_time='2026-01-24 09:12:43',create_time='2026-01-23 09:46:37' where flow_no='SIO20260410000001' and ecid ='hsjm';\n\n把时间等于最后入库时间。\n-- 采购出入库记录\n-- 批量更新 dmp_serp.dmp_im_stock_in_out_flow_detail 的 create_time update_time中的日期部分为 对应的stock_date","timestamp":1784109928282,"idempotencyKey":"fc11b4ae-ecb7-44e7-b501-01b59e37bf0c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `stock_date`：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in_out_flow_detail\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（10个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n\n还有吗？一次全整完，然后我给你生成一个**完整的 SQL 脚本文件**，方便你一次性执行 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":247,"output":551,"cacheRead":32896,"cacheWrite":0,"totalTokens":33694,"cost":{"input":0.000247,"output":0.001102,"cacheRead":0,"cacheWrite":0,"total":0.001349}},"stopReason":"stop","timestamp":1784109928948,"responseId":"530e1437-c5c6-4d13-9bd9-ceb4ee9ee99d"},{"role":"user","content":"update dmp_serp.dmp_im_stock_out set bill_date='2026-01-10',delivery_at='2026-01-25 10:26:19', create_time='2026-01-10 11:03:04', update_time='2026-01-25 10:26:19' where stock_out_no='PD2026000127' and ecid='hsjm';\n把时间等于单据日期。\n-- 生产领料单\n-- 批量更新 dmp_serp.dmp_im_stock_out 的 create_time update_time中的日期部分为 对应的bill_date","timestamp":1784109964929,"idempotencyKey":"cce96fb1-3bfc-4883-adaf-9111e6c44dd2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `bill_date`（单据日期）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_out\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（11个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n\n继续还是可以帮你生成完整脚本了？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":185,"output":566,"cacheRead":33664,"cacheWrite":0,"totalTokens":34415,"cost":{"input":0.000185,"output":0.001132,"cacheRead":0,"cacheWrite":0,"total":0.001317}},"stopReason":"stop","timestamp":1784109965649,"responseId":"46255802-137d-4009-afcd-6da8548f271b"}],"tools":[{"name":"agents_list","description":"List agent ids allowed for `sessions_spawn runtime=\"subagent\"`.","parameters":{"type":"object","properties":{}}},{"name":"apply_patch","description":"Apply a patch to one or more files using the apply_patch format. The input should include *** Begin Patch and *** End Patch markers.","parameters":{"type":"object","required":["input"],"properties":{"input":{"type":"string","description":"Patch content using the *** Begin Patch/End Patch format."}}}},{"name":"create_goal","description":"Create a goal only when explicitly requested by the user or system instructions. Fails if a goal already exists; use user-facing goal controls to clear it.","parameters":{"type":"object","required":["objective"],"properties":{"objective":{"type":"string","description":"Concrete objective to pursue. Create only when explicitly requested."},"token_budget":{"type":"number","description":"Optional positive token budget for this goal."}}}},{"name":"cron","description":"Manage Gateway cron jobs and wake events: reminders, check-back-later, delayed follow-ups, recurring work. Do not emulate scheduling with exec sleep/process polling.\n\nMain cron => system events for heartbeat. Isolated cron => background task in `openclaw tasks`.\n\nACTIONS:\n- status: scheduler status\n- list: compact job summaries; includeDisabled true includes disabled; use get for full job details; agentId filter auto-filled from session\n- get: one job; needs jobId\n- add: create job; needs job object\n- update: patch job; needs jobId + patch\n- remove: delete job; needs jobId\n- run: run only if due by default; needs jobId; pass runMode=\"force\" to trigger now\n- runs: run history; needs jobId\n- wake: send wake event; needs text, optional mode; defaults the target to the calling session/agent. Pass top-level sessionKey/agentId to wake a different lane owned by the calling agent.\n\nJOB SCHEMA (for add action):\n{\n \"name\": \"string\",\n \"schedule\": { ... }, // required\n \"trigger\": { \"script\": \"...\", \"once\": false }, // optional condition gate for every/cron\n \"payload\": { ... }, // required\n \"delivery\": { ... }, // optional announce for isolated/current/session, webhook for any target\n \"sessionTarget\": \"main\" | \"isolated\" | \"current\" | \"session:<id>\",\n \"enabled\": true | false // default true\n}\n\nSESSION TARGET OPTIONS:\n- \"main\": main session; requires payload.kind=\"systemEvent\"\n- \"isolated\": ephemeral isolated session; requires payload.kind=\"agentTurn\"\n- \"current\": bind current session at creation\n- \"session:<id>\": persistent named session\n\nDEFAULTS:\n- payload.kind=\"systemEvent\" → defaults to \"main\"\n- payload.kind=\"agentTurn\" → defaults to \"isolated\"\nCurrent binding needs sessionTarget=\"current\".\n\nSCHEDULE TYPES (schedule.kind):\n- \"at\": one-shot absolute time\n { \"kind\": \"at\", \"at\": \"<ISO-8601 timestamp>\" }\n- \"every\": recurring interval\n { \"kind\": \"every\", \"everyMs\": <ms>, \"anchorMs\": <optional-ms> }\n- \"cron\": expr in supplied timezone, or Gateway host local timezone when tz omitted\n { \"kind\": \"cron\", \"expr\": \"<cron-expression>\", \"tz\": \"<optional-IANA-timezone>\" }\n Write expr in local wall-clock time; do not convert the requested local time to UTC first.\n tz omitted => Gateway host local timezone, not UTC.\n Example 6pm Shanghai daily: { \"kind\": \"cron\", \"expr\": \"0 18 * * *\", \"tz\": \"Asia/Shanghai\" }\n\nOptional trigger scripts poll headlessly on every/cron schedules and run the payload only when they return { fire: true }.\n\nFor \"at\", ISO timestamps without timezone are UTC.\n\nPAYLOAD TYPES (payload.kind):\n- \"systemEvent\": inject text as system event\n { \"kind\": \"systemEvent\", \"text\": \"<message>\" }\n- \"agentTurn\": run agent with prompt; isolated/current/session only\n { \"kind\": \"agentTurn\", \"message\": \"<prompt>\", \"model\": \"<optional>\", \"thinking\": \"<optional>\", \"timeoutSeconds\": <optional, 0=no timeout> }\n\nDELIVERY (top-level):\n { \"mode\": \"none|announce|webhook\", \"channel\": \"<optional>\", \"to\": \"<optional>\", \"threadId\": \"<optional>\", \"bestEffort\": <optional-bool> }\n - isolated agentTurn default when omitted: \"announce\"\n - announce: send to chat channel; isolated/current/session only; optional channel/to\n - threadId: chat thread/topic id\n - webhook: POST finished-run event to delivery.to URL\n - Specific chat/recipient: set announce delivery.channel/to; do not call messaging tools inside run.\n\nCRITICAL CONSTRAINTS:\n- sessionTarget=\"main\" REQUIRES payload.kind=\"systemEvent\"\n- sessionTarget=\"isolated\" | \"current\" | \"session:xxx\" REQUIRES payload.kind=\"agentTurn\"\n- Webhook: delivery.mode=\"webhook\" and delivery.to URL.\nDefault: prefer isolated agentTurn jobs unless the user explicitly wants current-session binding.\n\nRESTRICTED CRON RUNS:\n- Some isolated cron runs get narrow self-cleanup grant: status/list self-only, get/runs current job only, mutation only remove current job.\n\nWAKE MODES (for wake action):\n- \"next-heartbeat\" default: wake next heartbeat\n- \"now\": wake immediately\n\nUse jobId canonical; id accepted compat. contextMessages (0-10) adds previous messages as job context.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"includeDisabled":{"type":"boolean"},"job":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"additionalProperties":true},"jobId":{"type":"string"},"id":{"type":"string"},"patch":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"additionalProperties":true},"text":{"type":"string"},"mode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"runMode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Run mode for action=\"run\": omitted defaults to \"due\"; use \"force\" to trigger now."},"contextMessages":{"type":"integer","minimum":0,"maximum":10},"agentId":{"type":"string","description":"List filter for `action: \"list\"`; wake target override for `action: \"wake\"` (defaults to the calling agent when omitted on wake)"},"sessionKey":{"type":"string","description":"Wake target override for `action: \"wake\"`: route the event to another session owned by the calling agent. Defaults to the resolved calling-session key when omitted."}},"additionalProperties":true}},{"name":"edit","description":"Edit a single file using exact text replacement. Every edits[].oldText must match a unique, non-overlapping region of the original file. If two changes affect the same block or nearby lines, merge them into one edit instead of emitting overlapping edits. Do not include large unchanged regions just to connect distant changes.","parameters":{"type":"object","required":["path","edits"],"properties":{"path":{"type":"string","description":"Path to the file to edit (relative or absolute)"},"edits":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"One or more targeted replacements. Each edit is matched against the original file, not incrementally. Do not include overlapping or nested edits. If two changes touch the same block or nearby lines, merge them into one edit instead."}},"additionalProperties":false}},{"name":"exec","description":"Execute shell commands with background continuation for work that starts now. Use yieldMs/background to continue later via process tool. For long-running work started now, rely on automatic completion wake when it is enabled and the command emits output or fails; otherwise use process to confirm completion. Use process whenever you need logs, status, input, or intervention. Do not use exec sleep or delay loops for reminders or deferred follow-ups; use cron instead. Use pty=true for TTY-required commands (terminal UIs, coding agents).","parameters":{"type":"object","required":["command"],"properties":{"command":{"type":"string","description":"Shell command to execute"},"workdir":{"type":"string","description":"Working directory. Blank/whitespace values are invalid; omit to use the default cwd."},"env":{"type":"object","patternProperties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"yieldMs":{"type":"number","description":"Milliseconds to wait before backgrounding (default 10000)"},"background":{"type":"boolean","description":"Run in background immediately"},"timeout":{"type":"number","description":"Timeout in seconds (optional, kills process on expiry)"},"pty":{"type":"boolean","description":"Run in a pseudo-terminal (PTY) when available (TTY-required CLIs, coding agents)"},"elevated":{"type":"boolean","description":"Run on the host with elevated permissions (if allowed)"},"host":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Exec host/target (auto|sandbox|gateway|node)."},"security":{"type":"string","description":"Ignored for normal calls; exec security is set by tools.exec.security and host approvals."},"ask":{"type":"string","description":"Baseline ask comes from tools.exec.ask and host approvals; channel-origin calls ignore per-call ask when effective host ask is off."},"node":{"type":"string","description":"Node id/name for host=node."}}}},{"name":"gateway","description":"Gateway restart/config/update. Before config edits, use config.schema.lookup with targeted dot path. Prefer config.patch for partial merge; config.apply only full replace. For config.patch that intentionally removes array entries, pass replacePaths with the exact affected array path. Writes hot-reload or restart as needed. Always pass human `note` for post-restart delivery. If post-restart work must continue internally, pass one-shot `continuationMessage`; visible follow-up from that turn must use the message tool. Do not write restart sentinel files directly.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"delayMs":{"type":"integer","minimum":0},"reason":{"type":"string"},"continuationMessage":{"type":"string"},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"path":{"type":"string"},"raw":{"type":"string"},"baseHash":{"type":"string"},"replacePaths":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"maxItems":256},"sessionKey":{"type":"string"},"note":{"type":"string"},"restartDelayMs":{"type":"integer","minimum":0}}}},{"name":"get_goal","description":"Get the current goal for this thread, including status and token usage.","parameters":{"type":"object","properties":{}}},{"name":"image","description":"Analyze images with available vision model. Use image for one path/URL, images for max 20. Prompt says what to inspect.","parameters":{"type":"object","properties":{"prompt":{"type":"string"},"image":{"type":"string","description":"One image path/URL."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Image paths/URLs; maxImages default 20."},"model":{"type":"string"},"maxBytesMb":{"type":"number","exclusiveMinimum":0},"maxImages":{"type":"integer","minimum":1}}}},{"name":"image_generate","description":"Create/edit images. Session chats: background task; do not call image_generate again for same request; wait completion, then report through the current visible-reply contract with generated media attached using structured media fields. Transparent: outputFormat=\"png\" or \"webp\" + background=\"transparent\"; OpenAI also supports openai.background and routes default model to gpt-image-1.5. Use action=\"list\" for providers/models/readiness/auth, \"status\" for active task.","parameters":{"type":"object","properties":{"action":{"type":"string","description":"\"generate\" default, \"status\" active task, \"list\" providers/models."},"prompt":{"type":"string","description":"Image prompt."},"image":{"type":"string","description":"Reference image path/URL for edit."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference images for edit or style reference; max 14."},"model":{"type":"string","description":"Provider/model override, e.g. openai/gpt-image-2; transparent OpenAI: openai/gpt-image-1.5."},"filename":{"type":"string","description":"Output filename hint; basename preserved in managed media dir."},"size":{"type":"string","description":"Size hint: 1024x1024, 1536x1024, 1024x1536, 2048x2048, 3840x2160."},"aspectRatio":{"type":"string","description":"Aspect ratio: 1:1, 2:1, 20:9, 19.5:9, 2:3, 3:2, 2.35:1, 3:4, 4:3, 4:5, 5:4, 9:16, 9:19.5, 9:20, 16:9, 21:9, 1:2, 4:1, 1:4, 8:1, 1:8."},"resolution":{"type":"string","description":"Resolution: 1K, 2K, 4K; useful for Google."},"quality":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Quality: low, medium, high, auto."},"outputFormat":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Output format: png, jpeg, webp."},"background":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Background: transparent, opaque, auto. Transparent needs png/webp output."},"openai":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"fal":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"count":{"type":"integer","description":"Image count 1-4.","minimum":1,"maximum":4},"timeoutMs":{"type":"integer","description":"Provider timeout ms (300000 tends to be a safe amount).","minimum":1}}}},{"name":"memory_get","description":"Safe exact excerpt read from MEMORY.md or memory/*.md. Defaults to a bounded excerpt when lines are omitted, includes truncation/continuation info when more content exists, and `corpus=wiki` reads from registered compiled-wiki supplements.","parameters":{"type":"object","properties":{"path":{"type":"string"},"from":{"type":"integer","minimum":1},"lines":{"type":"integer","minimum":1},"corpus":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}},"required":["path"],"additionalProperties":false}},{"name":"memory_search","description":"Mandatory recall step: semantically search MEMORY.md + memory/*.md (and optional session transcripts) before answering questions about prior work, decisions, dates, people, preferences, or todos. Optional `corpus=wiki` or `corpus=all` also searches registered compiled-wiki supplements. `corpus=memory` restricts hits to indexed memory files (excludes session transcript chunks from ranking). `corpus=sessions` restricts hits to indexed session transcripts (same visibility rules as session history tools). If response has disabled=true, memory retrieval is unavailable and should be surfaced to the user.","parameters":{"type":"object","properties":{"query":{"type":"string"},"maxResults":{"type":"integer","minimum":1},"minScore":{"type":"number"},"corpus":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}},"required":["query"],"additionalProperties":false}},{"name":"message","description":"Send/delete/manage channel messages. Supports actions: send.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"channel":{"type":"string"},"target":{"type":"string","description":"Recipient/channel: E.164 for WhatsApp/Signal, Telegram chat id/@username, Discord/Slack/Mattermost <channelId|user:ID|channel:ID>, or iMessage handle/chat_id"},"targets":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"accountId":{"type":"string"},"dryRun":{"type":"boolean"},"message":{"type":"string"},"effectId":{"type":"string","description":"Effect id/name for sendWithEffect."},"effect":{"type":"string","description":"Alias for effectId."},"media":{"type":"string","description":"Media URL/path. data: use buffer."},"filename":{"type":"string"},"buffer":{"type":"string","description":"Base64 attachment payload; data URL ok."},"contentType":{"type":"string"},"mimeType":{"type":"string"},"caption":{"type":"string"},"attachments":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Structured attachments; each entry uses media."},"replyTo":{"type":"string"},"threadId":{"type":"string"},"asVoice":{"type":"boolean"},"silent":{"type":"boolean"},"quoteText":{"type":"string","description":"Telegram reply quote text."},"gifPlayback":{"type":"boolean"},"forceDocument":{"type":"boolean","description":"Send image/GIF/video as document; avoids compression."},"asDocument":{"type":"boolean","description":"Alias for forceDocument."},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1}}}},{"name":"node_inference","description":"Discover and run chat-capable Ollama models installed on paired desktop/server nodes. Use action=discover first, then action=run with a node and model from that result. Inference stays on the selected node.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"node":{"type":"string","description":"Connected node id or display name. Required when ambiguous."},"model":{"type":"string","description":"Exact local model name returned by discover."},"prompt":{"type":"string","description":"Prompt for action=run."},"system":{"type":"string","description":"Optional system prompt for action=run."},"temperature":{"type":"number","minimum":0,"maximum":2},"maxTokens":{"type":"integer","minimum":1,"maximum":8192},"timeoutMs":{"type":"integer","minimum":1,"maximum":600000}},"additionalProperties":false}},{"name":"nodes","description":"Discover/control paired nodes: status, describe, pairing, notify, camera/photos/screen/location/notifications/invoke. Use file_fetch for files.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"node":{"type":"string"},"requestId":{"type":"string"},"title":{"type":"string"},"body":{"type":"string"},"sound":{"type":"string"},"priority":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"delivery":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"facing":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"camera_snap: front/back/both; camera_clip: front/back only."},"maxWidth":{"type":"integer","minimum":1},"quality":{"type":"number","minimum":0,"maximum":1},"delayMs":{"type":"integer","minimum":0},"deviceId":{"type":"string"},"limit":{"type":"integer","minimum":1,"maximum":20},"duration":{"type":"string"},"durationMs":{"type":"integer","minimum":1,"maximum":300000},"includeAudio":{"type":"boolean"},"fps":{"type":"number","exclusiveMinimum":0},"screenIndex":{"type":"integer","minimum":0},"outPath":{"type":"string"},"maxAgeMs":{"type":"integer","minimum":0},"locationTimeoutMs":{"type":"integer","minimum":1},"desiredAccuracy":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"notificationAction":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"notificationKey":{"type":"string"},"notificationReplyText":{"type":"string"},"invokeCommand":{"type":"string"},"invokeParamsJson":{"type":"string"},"invokeTimeoutMs":{"type":"integer","minimum":1}}}},{"name":"pdf","description":"Analyze PDFs with model. Anthropic/Google native PDF when supported; else text/image extraction. Use pdf for one, pdfs for max 10; prompt says what to inspect.","parameters":{"type":"object","properties":{"prompt":{"type":"string"},"pdf":{"type":"string","description":"One PDF path/URL."},"pdfs":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"PDF paths/URLs; max 10."},"pages":{"type":"string","description":"Pages, e.g. \"1-5\", \"1,3,5-7\"; default all."},"model":{"type":"string"},"maxBytesMb":{"type":"number","exclusiveMinimum":0}}}},{"name":"process","description":"Manage running exec sessions for commands already started: list, poll, log, write, send-keys, submit, paste, kill. Use poll/log when you need status, logs, quiet-success confirmation, or completion confirmation when automatic completion wake is unavailable. Use poll/log also for input-wait hints. Use write/send-keys/submit/paste/kill for input or intervention. Do not use process polling to emulate timers or reminders; use cron for scheduled follow-ups.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","description":"Process action (list|poll|log|write|send-keys|submit|paste|kill|clear|remove)"},"sessionId":{"type":"string","description":"Session id for actions other than list"},"data":{"type":"string","description":"Data to write for write"},"keys":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Key tokens to send for send-keys"},"hex":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Hex bytes to send for send-keys"},"literal":{"type":"string","description":"Literal string for send-keys"},"text":{"type":"string","description":"Text to paste for paste"},"bracketed":{"type":"boolean","description":"Wrap paste in bracketed mode"},"eof":{"type":"boolean","description":"Close stdin after write"},"offset":{"type":"number","description":"Log offset"},"limit":{"type":"number","description":"Log length"},"timeout":{"type":"number","description":"For poll: wait up to this many milliseconds before returning; max 30000 ms, higher values are clamped to 30000","minimum":0}}}},{"name":"read","description":"Read the contents of a file. Supports text files and images (jpg, png, gif, webp, bmp). Images are sent as attachments. For text files, output is truncated to 2000 lines or 50KB (whichever is hit first). Use offset/limit for large files. When you need the full file, continue with offset until complete.","parameters":{"type":"object","required":["path"],"properties":{"path":{"type":"string","description":"Path to the file to read (relative or absolute)"},"offset":{"type":"number","description":"Line number to start reading from (1-indexed)"},"limit":{"type":"number","description":"Maximum number of lines to read"}}}},{"name":"session_status","description":"Show /status-like card for current/visible session: model, usage, time, cost, tasks. Use `sessionKey=\"current\"` for current session; UI labels like `openclaw-tui` are not keys. `model` sets session override; `model=default` resets. Use for active model/session config questions.","parameters":{"type":"object","properties":{"sessionKey":{"type":"string"},"model":{"type":"string"}}}},{"name":"sessions_history","description":"Fetch sanitized history for visible session. Use before replying, debugging, resuming; supports limit, offset pagination, and tool-message inclusion.","parameters":{"type":"object","required":["sessionKey"],"properties":{"sessionKey":{"type":"string"},"limit":{"type":"integer","minimum":1},"offset":{"type":"integer","minimum":0},"includeTools":{"type":"boolean"}}}},{"name":"sessions_list","description":"List visible sessions; filter by kind, label, agentId, search, activity, archive state. Use before sessions_history or sessions_send target selection.","parameters":{"type":"object","properties":{"kinds":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"limit":{"type":"integer","minimum":1},"activeMinutes":{"type":"integer","minimum":1},"messageLimit":{"type":"integer","minimum":0},"label":{"type":"string","minLength":1},"agentId":{"type":"string","minLength":1,"maxLength":64},"search":{"type":"string","minLength":1},"archived":{"type":"boolean"},"includeDerivedTitles":{"type":"boolean"},"includeLastMessage":{"type":"boolean"}}}},{"name":"sessions_send","description":"Send message to visible session by sessionKey/label, or configured agent by agentId; sessionKey wins when redundant label metadata is present. Thread-scoped chats rejected; target parent channel session. Creates missing configured-agent main session; waits for reply when available.","parameters":{"type":"object","required":["message"],"properties":{"sessionKey":{"type":"string"},"label":{"type":"string","minLength":1,"maxLength":512},"agentId":{"type":"string","minLength":1,"maxLength":64},"message":{"type":"string"},"timeoutSeconds":{"type":"integer","minimum":0}}}},{"name":"sessions_spawn","description":"Spawn clean child session; default `runtime=\"subagent\"`. `mode=\"run\"` one-shot background work. Subagents inherit parent workspace. Native subagents get task in first visible `[Subagent Task]` message. Native only: `context=\"fork\"` only when child needs current transcript; else omit or `isolated`. Use for fresh child-session work. Delegate sidecar/parallel tasks: batch file reads, multi-step searches, data collection. Avoid delegating quick lookups or single-file reads unless policy prefers delegation. After spawning, do non-overlapping work while run-mode results return.","parameters":{"type":"object","required":["task"],"properties":{"task":{"type":"string"},"taskName":{"type":"string","description":"Stable alias for later targeting; lowercase letters/digits/underscores/hyphens, starts letter."},"label":{"type":"string"},"runtime":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"agentId":{"type":"string"},"model":{"type":"string"},"thinking":{"type":"string"},"cwd":{"type":"string"},"mode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"cleanup":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"sandbox":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"context":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Native context. Omit/\"isolated\" for clean child; \"fork\" only when child needs requester transcript."},"lightContext":{"type":"boolean","description":"Light bootstrap context; runtime=\"subagent\" only."},"attachments":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"maxItems":50},"attachAs":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}}}},{"name":"sessions_yield","description":"End current turn. Use after spawning subagents; results arrive as next message.","parameters":{"type":"object","properties":{"message":{"type":"string"}}}},{"name":"skill_workshop","description":"Create, update, revise, list, inspect, apply, reject, or quarantine Skill Workshop proposals when reusable procedures should be captured, improved, or explicitly approved.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"create = new skill; update = existing live skill; revise = existing pending proposal; list/inspect discover pending proposals (not filesystem search); apply/reject/quarantine are explicit lifecycle actions."},"proposal_id":{"type":"string","description":"Existing proposal id for action=inspect, action=revise, action=apply, action=reject, or action=quarantine."},"name":{"type":"string","description":"Skill/proposal name. Required for create; for inspect/revise when proposal_id is unknown, resolves a pending proposal or returns candidates."},"query":{"type":"string","description":"Optional query for action=list."},"status":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Optional proposal status filter for action=list."},"limit":{"type":"integer","minimum":1,"maximum":50,"description":"Maximum proposals to return for action=list. Defaults to 20."},"description":{"type":"string","maxLength":160,"description":"Skill description for create/update/revise; max 160 bytes. On update, concise text shortens the proposal listing entry."},"skill_name":{"type":"string","description":"Existing skill name or key for action=update."},"proposal_content":{"type":"string","description":"Full proposed procedure markdown for action=create, action=update, or action=revise. It will be stored as PROPOSAL.md. Keep under configured skills.workshop.maxSkillBytes; default max is 40000 bytes."},"support_files":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Optional support files to store with the proposal."},"goal":{"type":"string","description":"Proposal or improvement goal."},"evidence":{"type":"string","description":"Short evidence or notes."},"reason":{"type":"string","description":"Optional reason for action=apply, action=reject, or action=quarantine."}},"additionalProperties":false}},{"name":"subagents","description":"List active and recent subagents for the requester session. If sessions_yield exists, use it for completion; do not poll wait loops.","parameters":{"type":"object","properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"recentMinutes":{"type":"integer","minimum":1}}}},{"name":"tts","description":"Use only for explicit audio intent (voice/speech/TTS) or active TTS config. Never use for ordinary text replies. Audio auto-delivered from tool result; after success follow reply instructions, no duplicate text/audio.","parameters":{"type":"object","required":["text"],"properties":{"text":{"type":"string","description":"Text to speak."},"channel":{"type":"string","description":"Channel id; output-format hint."},"timeoutMs":{"type":"integer","description":"Provider timeout ms.","minimum":1}}}},{"name":"update_goal","description":"Mark the current goal complete only when achieved, or blocked only after the same blocking condition recurs for at least three consecutive goal turns. Do not use blocked for ordinary difficulty or missing polish.","parameters":{"type":"object","required":["status"],"properties":{"status":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"complete | blocked."},"note":{"type":"string","description":"Short status note."}}}},{"name":"update_plan","description":"Update current run plan. Use for non-trivial multi-step work; keep plan current while executing. Short steps; max one `in_progress`; skip for simple one-step work.","parameters":{"type":"object","required":["plan"],"properties":{"explanation":{"type":"string","description":"Short note: what changed."},"plan":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"minItems":1,"description":"Ordered steps; max one in_progress."}}}},{"name":"video_generate","description":"Create videos. Session chats: background task; do not call video_generate again for same request; wait completion, then report through the current visible-reply contract with generated media attached using structured media fields. \"status\" checks active task. Duration may round to provider-supported value.","parameters":{"type":"object","properties":{"action":{"type":"string","description":"\"generate\" default, \"status\" active task, \"list\" providers/models."},"prompt":{"type":"string","description":"Video prompt."},"image":{"type":"string","description":"One reference image path/URL."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference images; max 9."},"imageRoles":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"`image` + `images` roles by index after de-dupe. Values: first_frame, last_frame, reference_image; empty string leaves unset."},"video":{"type":"string","description":"One reference video path/URL."},"videos":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference videos; max 4."},"videoRoles":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"`video` + `videos` roles by index after de-dupe. Value: reference_video; empty string leaves unset."},"model":{"type":"string","description":"Provider/model override, e.g. qwen/wan2.6-t2v."},"filename":{"type":"string","description":"Output filename hint; basename preserved in managed media dir."},"size":{"type":"string","description":"Size hint, e.g. 1280x720, 1920x1080."},"aspectRatio":{"type":"string","description":"Aspect ratio: 1:1, 16:9, 9:16, \"adaptive\", or provider value; unsupported normalized/ignored."},"resolution":{"type":"string","description":"Resolution: 360P, 480P, 540P, 720P, 768P, 1080P, 4K, or provider value; unsupported normalized/ignored."},"durationSeconds":{"type":"integer","description":"Target seconds; may round to nearest supported duration.","minimum":1},"audio":{"type":"boolean","description":"Generated-audio toggle."},"watermark":{"type":"boolean","description":"Watermark toggle."},"providerOptions":{"type":"object","patternProperties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Provider JSON options, e.g. {\"seed\":42}. Keys/types must match provider capabilities; mismatch skips candidate. Use action=list for accepted keys."},"timeoutMs":{"type":"integer","description":"Provider timeout ms.","minimum":1}}}},{"name":"write","description":"Write content to a file. Creates the file if it doesn't exist, overwrites if it does. Automatically creates parent directories.","parameters":{"type":"object","required":["path","content"],"properties":{"path":{"type":"string","description":"Path to the file to write (relative or absolute)"},"content":{"type":"string","description":"Content to write to the file"}}}}],"imagesCount":0,"streamStrategy":"boundary-aware:openai-completions","transport":"auto","transcriptLeafId":"8dc684db"}}
|
||
{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","source":"runtime","type":"prompt.submitted","ts":"2026-07-15T10:06:34.542Z","seq":4,"sourceSeq":88,"sessionId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","sessionKey":"agent:main:dashboard:2fdf88e4-fa3f-46c2-b547-384e2c048b11","runId":"90f480c3-711d-4afa-8813-526c1cba7146","workspaceDir":"/home/yangxuan/.openclaw/workspace","provider":"deepseek","modelId":"deepseek-v4-flash","modelApi":"openai-completions","data":{"prompt":"update dmp_serp.dmp_im_stock_in_out_flow_detail set stock_date='2026-04-05',bill_date='2026-03-21',update_time='2026-04-05 14:07:09',create_time='2026-03-21 12:11:27' where flow_no='SIO20260410000236' and ecid ='hsjm';\n把时间等于单据日期。\n-- -领料出库记录\n-- 批量更新 dmp_serp.dmp_im_stock_in_out_flow_detail 的 create_time update_time中的日期部分为 对应的stock_date","systemPrompt":{"truncated":true,"reason":"trajectory-field-size-limit","originalChars":39560,"limitChars":32768},"messages":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate \n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","timestamp":1784109538113,"idempotencyKey":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"},{"role":"user","content":"保留原时分秒，只改日期部分\nUPDATE dmp_spom.dmp_mrp_main_plan_task SET plan_start_time='2026-07-07 11:03:04',create_time='2026-07-07 10:58:04',update_time='2026-07-07 11:03:04' WHERE ecid='kanda' AND plan_no='PLAN2026071414255193535522';\n-- 物料计划主表\n-- 批量更新 dmp_spom.dmp_mrp_main_plan_task 的 create_time update_time中的日期部分为 对应的plan_start_time","timestamp":1784109596434,"idempotencyKey":"7c28a842-8a9f-4cc4-9094-1298d4ce1a5c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**物料计划主表 `dmp_mrp_main_plan_task`**，要把 `create_time` 和 `update_time` 的日期部分改为对应的 `plan_start_time`，保留原时分秒。\n\n## 更新脚本\n\n```sql\nUPDATE dmp_spom.dmp_mrp_main_plan_task\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'kanda';\n```\n\n范围条件？我看你前面说的是\"计划开始时间是7月份的数据\"，但 `plan_start_time` 看样例已经是 7 月份。你对范围有要求吗？比如：\n\n```sql\n-- 如果只要 plan_start_time 在7月份的数据\nAND plan_start_time >= '2026-07-01' AND plan_start_time < '2026-08-01'\n\n-- 或者只要 plan_start_time 日期和 create_time 日期不一致的（避免无意义更新）\nAND DATE(plan_start_time) != DATE(create_time)\n```\n\n需要加范围条件吗？还是直接全量更新 `ecid = 'kanda'` 的所有记录？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":1021,"output":340,"cacheRead":26880,"cacheWrite":0,"totalTokens":28241,"cost":{"input":0.001021,"output":0.0006799999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0017009999999999998}},"stopReason":"stop","timestamp":1784109597165,"responseId":"3546056a-f6d1-4805-b0d2-e4d5739d2293"},{"role":"user","content":"采购订单\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37' where ecid = 'hsjm' and order_no ='PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 16:10:47', update_time ='2026-01-12 16:10:47' where ecid = 'hsjm' and order_no ='PO2026000002';\n把 时间等于下单时间。\n-- 采购订单\n-- 批量更新 dmp_serp.dmp_mc_purchase_order 的 create_time update_time中的日期部分为 对应的order_date\n\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\n把 时间等于下单时间。\n\n-- 采购明细表\n-- 批量更新 dmp_serp.dmp_mc_purchase_order_detail 的 create_time update_time中的日期部分为 对应的order_date","timestamp":1784109736511,"idempotencyKey":"dea79fe3-9e82-4fcc-932b-78fe7ffb7ea2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，两个表一起处理，都是**采购订单**相关，用 `order_date` 作为日期源。\n\n## 采购订单主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购订单明细表\n\n明细表需要通过 `order_no` 和 `ecid` 关联主表获取 `order_date`：\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order_detail pd\nJOIN dmp_serp.dmp_mc_purchase_order po \n ON pd.ecid = po.ecid AND pd.order_no = po.order_no\nSET \n pd.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pd.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE pd.ecid = 'hsjm';\n```\n\n同样你提到的 **plan_arrival_date**——明细表里也有这个字段，看你样例里也在改它。但你的需求描述里只提了 `create_time` 和 `update_time`，`plan_arrival_date` 是否需要基于主表的 `plan_arrival_date` 同步更新？如果需要，可以加上：\n\n```sql\n-- 在明细表的 SET 中加上 plan_arrival_date 同步\n pd.plan_arrival_date = po.plan_arrival_date,\n```\n\n---\n\n汇总一下你到目前为止的更新清单：\n\n| 序号 | 表 | 日期源字段 |\n|------|-----|-----------|\n| 1 | `dmp_serp.dmp_om_order` | `om_orderdate` |\n| 2 | `dmp_serp.dmp_om_productinfo` | 关联主表 `om_orderdate` |\n| 3 | `dmp_spom.dmp_mrp_main_plan_task` | `plan_start_time` |\n| 4 | `dmp_serp.dmp_mc_purchase_order` | `order_date` |\n| 5 | `dmp_serp.dmp_mc_purchase_order_detail` | 关联主表 `order_date` |\n\n还有其他表要处理吗？一次性都帮你搞定 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":537,"output":666,"cacheRead":28160,"cacheWrite":0,"totalTokens":29363,"cost":{"input":0.0005369999999999999,"output":0.0013319999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0018689999999999998}},"stopReason":"stop","timestamp":1784109737239,"responseId":"4b7762d3-e202-4784-90ea-1934b8437ee9"},{"role":"user","content":"采购到货\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 14:59:11', update_time = '2026-01-22 14:59:11' where ecid = 'hsjm' and arrival_no = 'PAD2026000001';\n\n\n把 时间等于送货时间。\n-- 采购到货主表\n\n\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\n\n把 时间等于送货时间。\n-- 采购到货明细","timestamp":1784109773108,"idempotencyKey":"c1f0893e-59e7-4e66-8ebf-c96466a88991:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `ship_date`（送货时间/发货时间）。\n\n## 采购到货主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购到货明细表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival_detail ad\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON ad.ecid = a.ecid AND ad.arrival_no = a.arrival_no\nSET \n ad.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n ad.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ad.ecid = 'hsjm';\n```\n\n不过我看你的例子里，`ship_date` 和 `arrival_date` 都是 `'2026-01-22'`（同一天）。你说\"时间等于**送货时间**\"，那就是用 `ship_date` 作为日期源，没错吧？还是说你想用 `arrival_date`（到货时间）？\n\n---\n\n## 📋 完整更新清单（截至目前）\n\n| 序号 | 表 | 数据库 | 日期源字段 | 关联方式 |\n|------|-----|--------|-----------|---------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 直接更新 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate` | JOIN 主表 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 直接更新 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 直接更新 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date` | JOIN 主表 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 直接更新 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date` | JOIN 主表 |\n\n还继续有吗？一次性整完 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":427,"output":719,"cacheRead":29312,"cacheWrite":0,"totalTokens":30458,"cost":{"input":0.00042699999999999997,"output":0.001438,"cacheRead":0,"cacheWrite":0,"total":0.001865}},"stopReason":"stop","timestamp":1784109773806,"responseId":"8409c206-8436-4c31-93df-a6c9c78ea7a5"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验","timestamp":1784109808938,"idempotencyKey":"4b7a78ce-766c-439b-8784-ec9eef3f92ac:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**来料检验表**，需要关联**采购到货单**获取 `ship_date`。\n\n关联关系：`qc_task_inspect` 通过某个字段关联到采购到货单？我先看看常见关联方式——通常来料检验单会记录 `arrival_no`（到货单号）和 `ecid`。\n\n如果 `qc_task_inspect` 里有 `arrival_no` 字段，关联到 `dmp_mc_purchase_arrival`：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect qi\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON qi.ecid = a.ecid AND qi.arrival_no = a.arrival_no\nSET \n qi.insp_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.insp_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE qi.ecid = 'hsjm';\n```\n\n不过我需要确认一下——`qc_task_inspect` 里**关联采购到货单的字段名是什么**？常见的有：\n- `arrival_no` — 到货单号\n- `src_bill_no` — 来源单据号\n\n你能看看表结构确认一下关联字段吗？或者直接告诉我 `qc_task_inspect` 里哪个字段存的是到货单号就行。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":317,"output":444,"cacheRead":30336,"cacheWrite":0,"totalTokens":31097,"cost":{"input":0.000317,"output":0.000888,"cacheRead":0,"cacheWrite":0,"total":0.001205}},"stopReason":"stop","timestamp":1784109809545,"responseId":"a97cc980-d1b1-4640-9631-1a5bc07b2155"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验 只有主表","timestamp":1784109834801,"idempotencyKey":"1b1a78a5-b104-491c-8c1a-3388b55520a1:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"只有主表，没有关联明细。那 `qc_task_inspect` 直接用某个字段关联到采购到货单获取 `ship_date`。我需要先看看这个表里有什么关联字段。\n\n让我查一下表结构："},{"type":"toolCall","id":"call00zNFXflO9uvHF88gvemNV1946","name":"exec","arguments":{"command":"mysql -u root -p'YourPassword' -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null || echo \"NEED_PASSWORD\""},"partialArgs":"{\"command\": \"mysql -u root -p'YourPassword' -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null || echo \\\"NEED_PASSWORD\\\"\"}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":320,"output":127,"cacheRead":30976,"cacheWrite":0,"totalTokens":31423,"cost":{"input":0.00031999999999999997,"output":0.000254,"cacheRead":0,"cacheWrite":0,"total":0.000574}},"stopReason":"toolUse","timestamp":1784109835616,"responseId":"6d7b9ef4-7af8-4b71-a201-06dba58c46a8"},{"role":"toolResult","toolCallId":"call00zNFXflO9uvHF88gvemNV1946","toolName":"exec","content":[{"type":"text","text":"NEED_PASSWORD"}],"isError":false,"timestamp":1784109838817},{"role":"assistant","content":[{"type":"toolCall","id":"call00PIuYMg0px60fCGWCIhay2037","name":"exec","arguments":{"command":"mysql -u root -p -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null | head -50","timeout":10},"partialArgs":"{\"command\": \"mysql -u root -p -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null | head -50\", \"timeout\": 10}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":79,"output":90,"cacheRead":31360,"cacheWrite":0,"totalTokens":31529,"cost":{"input":0.000079,"output":0.00017999999999999998,"cacheRead":0,"cacheWrite":0,"total":0.000259}},"stopReason":"toolUse","timestamp":1784109838831,"responseId":"1ac67ea0-15ab-4d4d-8d1a-bec64bd8a1be"},{"role":"toolResult","toolCallId":"call00PIuYMg0px60fCGWCIhay2037","toolName":"exec","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1784109840424},{"role":"assistant","content":[{"type":"text","text":"没有直连数据库的权限，没关系。你看看 `qc_task_inspect` 表里有什么字段可以用来关联到采购到货单？比如：\n\n- `arrival_no`（到货单号）\n- `src_bill_no` / `source_no`（来源单号）\n- `order_no`（采购订单号）\n- 或者其它什么字段？\n\n你告诉我关联字段名，我就能直接写出完整的 SQL 了。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":55,"output":92,"cacheRead":31488,"cacheWrite":0,"totalTokens":31635,"cost":{"input":0.000054999999999999995,"output":0.000184,"cacheRead":0,"cacheWrite":0,"total":0.000239}},"stopReason":"stop","timestamp":1784109840437,"responseId":"e2a7cf1e-c246-4d51-b8a5-498bd181dfce"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验\n-- 批量更新 dmp_smes.qc_task_inspect 的 create_time update_time中的日期部分为 对应insp_time","timestamp":1784109869504,"idempotencyKey":"31a50ea4-daa6-44a6-b525-6e085ebd2335:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"啊，看明白了！你的意思是 **直接用 `insp_time` 作为日期源**，不需要关联到货单：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单汇总\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|--------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 否 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（关联主表） | 是 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 否 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 否 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（关联主表） | 是 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 否 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（关联主表） | 是 |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | 否 |\n\n还有要处理的表吗？一起搞定 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":242,"output":471,"cacheRead":31616,"cacheWrite":0,"totalTokens":32329,"cost":{"input":0.000242,"output":0.0009419999999999999,"cacheRead":0,"cacheWrite":0,"total":0.001184}},"stopReason":"stop","timestamp":1784109870180,"responseId":"0bddd8b3-54ef-4280-b497-c5f6e7c4c117"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in set bill_date='2026-01-23',completed_at='2026-01-24 10:33:27', create_time='2026-01-23 09:56:17',update_time='2026-01-24 10:33:27' where stock_in_no='PE2026000002' and ecid ='hsjm';\n把时间等于最后入库时间。\n-- 采购入库主表\n-- 批量更新 dmp_serp.dmp_im_stock_in 的 create_time update_time中的日期部分为 对应的completed_at","timestamp":1784109898245,"idempotencyKey":"19ea56c9-af6f-4a6e-8331-4c25e67fc817:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `completed_at`（最后入库时间）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（9个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|:----:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n\n还继续有吗？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":229,"output":499,"cacheRead":32256,"cacheWrite":0,"totalTokens":32984,"cost":{"input":0.00022899999999999998,"output":0.000998,"cacheRead":0,"cacheWrite":0,"total":0.001227}},"stopReason":"stop","timestamp":1784109898887,"responseId":"4df6ab45-0f41-4730-9b14-34965a8d2fc5"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in_out_flow_detail set stock_date='2026-01-24',bill_date='2026-01-23',update_time='2026-01-24 09:12:43',create_time='2026-01-23 09:46:37' where flow_no='SIO20260410000001' and ecid ='hsjm';\n\n把时间等于最后入库时间。\n-- 采购出入库记录\n-- 批量更新 dmp_serp.dmp_im_stock_in_out_flow_detail 的 create_time update_time中的日期部分为 对应的stock_date","timestamp":1784109928282,"idempotencyKey":"fc11b4ae-ecb7-44e7-b501-01b59e37bf0c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `stock_date`：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in_out_flow_detail\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（10个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n\n还有吗？一次全整完，然后我给你生成一个**完整的 SQL 脚本文件**，方便你一次性执行 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":247,"output":551,"cacheRead":32896,"cacheWrite":0,"totalTokens":33694,"cost":{"input":0.000247,"output":0.001102,"cacheRead":0,"cacheWrite":0,"total":0.001349}},"stopReason":"stop","timestamp":1784109928948,"responseId":"530e1437-c5c6-4d13-9bd9-ceb4ee9ee99d"},{"role":"user","content":"update dmp_serp.dmp_im_stock_out set bill_date='2026-01-10',delivery_at='2026-01-25 10:26:19', create_time='2026-01-10 11:03:04', update_time='2026-01-25 10:26:19' where stock_out_no='PD2026000127' and ecid='hsjm';\n把时间等于单据日期。\n-- 生产领料单\n-- 批量更新 dmp_serp.dmp_im_stock_out 的 create_time update_time中的日期部分为 对应的bill_date","timestamp":1784109964929,"idempotencyKey":"cce96fb1-3bfc-4883-adaf-9111e6c44dd2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `bill_date`（单据日期）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_out\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（11个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n\n继续还是可以帮你生成完整脚本了？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":185,"output":566,"cacheRead":33664,"cacheWrite":0,"totalTokens":34415,"cost":{"input":0.000185,"output":0.001132,"cacheRead":0,"cacheWrite":0,"total":0.001317}},"stopReason":"stop","timestamp":1784109965649,"responseId":"46255802-137d-4009-afcd-6da8548f271b"}],"imagesCount":0}}
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{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","source":"runtime","type":"model.completed","ts":"2026-07-15T10:06:37.655Z","seq":5,"sourceSeq":89,"sessionId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","sessionKey":"agent:main:dashboard:2fdf88e4-fa3f-46c2-b547-384e2c048b11","runId":"90f480c3-711d-4afa-8813-526c1cba7146","workspaceDir":"/home/yangxuan/.openclaw/workspace","provider":"deepseek","modelId":"deepseek-v4-flash","modelApi":"openai-completions","data":{"aborted":false,"externalAbort":false,"timedOut":false,"idleTimedOut":false,"timedOutDuringCompaction":false,"timedOutDuringToolExecution":false,"timedOutByRunBudget":false,"promptErrorSource":null,"usage":{"input":270,"output":172,"cacheRead":34304,"total":34746},"promptCache":{"lastCallUsage":{"input":270,"output":172,"cacheRead":34304,"cacheWrite":0,"total":34746},"lastCacheTouchAt":1784109994584},"compactionCount":0,"assistantTexts":["这个表之前已经处理过了（序号10），但之前的日期源是 `stock_date`（你说\"时间等于最后入库时间\"），现在这个你说\"时间等于单据日期\"。\n\n那我看看——同一个表 `dmp_im_stock_in_out_flow_detail`，之前是入库记录用 `stock_date`，现在是出库记录也用 `stock_date`，其实是一样的对吧？\n\n那我保持之前的脚本不变（用 `stock_date` 作为日期源），它已经覆盖了这个表的所有 `ecid = 'hsjm'` 记录：\n\n```sql\n-- 已在序号10中覆盖，无需重复\n```\n\n不过如果你想**区分入库和出库**来用不同的日期源，那就需要告诉我用什么字段来区分（比如单据类型字段）。\n\n还是说这个表统一用 `stock_date` 就行了？"],"finalPromptText":"update dmp_serp.dmp_im_stock_in_out_flow_detail set stock_date='2026-04-05',bill_date='2026-03-21',update_time='2026-04-05 14:07:09',create_time='2026-03-21 12:11:27' where flow_no='SIO20260410000236' and ecid ='hsjm';\n把时间等于单据日期。\n-- -领料出库记录\n-- 批量更新 dmp_serp.dmp_im_stock_in_out_flow_detail 的 create_time update_time中的日期部分为 对应的stock_date","messagesSnapshot":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate \n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","timestamp":1784109538113,"idempotencyKey":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"},{"role":"user","content":"保留原时分秒，只改日期部分\nUPDATE dmp_spom.dmp_mrp_main_plan_task SET plan_start_time='2026-07-07 11:03:04',create_time='2026-07-07 10:58:04',update_time='2026-07-07 11:03:04' WHERE ecid='kanda' AND plan_no='PLAN2026071414255193535522';\n-- 物料计划主表\n-- 批量更新 dmp_spom.dmp_mrp_main_plan_task 的 create_time update_time中的日期部分为 对应的plan_start_time","timestamp":1784109596434,"idempotencyKey":"7c28a842-8a9f-4cc4-9094-1298d4ce1a5c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**物料计划主表 `dmp_mrp_main_plan_task`**，要把 `create_time` 和 `update_time` 的日期部分改为对应的 `plan_start_time`，保留原时分秒。\n\n## 更新脚本\n\n```sql\nUPDATE dmp_spom.dmp_mrp_main_plan_task\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'kanda';\n```\n\n范围条件？我看你前面说的是\"计划开始时间是7月份的数据\"，但 `plan_start_time` 看样例已经是 7 月份。你对范围有要求吗？比如：\n\n```sql\n-- 如果只要 plan_start_time 在7月份的数据\nAND plan_start_time >= '2026-07-01' AND plan_start_time < '2026-08-01'\n\n-- 或者只要 plan_start_time 日期和 create_time 日期不一致的（避免无意义更新）\nAND DATE(plan_start_time) != DATE(create_time)\n```\n\n需要加范围条件吗？还是直接全量更新 `ecid = 'kanda'` 的所有记录？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":1021,"output":340,"cacheRead":26880,"cacheWrite":0,"totalTokens":28241,"cost":{"input":0.001021,"output":0.0006799999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0017009999999999998}},"stopReason":"stop","timestamp":1784109597165,"responseId":"3546056a-f6d1-4805-b0d2-e4d5739d2293"},{"role":"user","content":"采购订单\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37' where ecid = 'hsjm' and order_no ='PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 16:10:47', update_time ='2026-01-12 16:10:47' where ecid = 'hsjm' and order_no ='PO2026000002';\n把 时间等于下单时间。\n-- 采购订单\n-- 批量更新 dmp_serp.dmp_mc_purchase_order 的 create_time update_time中的日期部分为 对应的order_date\n\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\n把 时间等于下单时间。\n\n-- 采购明细表\n-- 批量更新 dmp_serp.dmp_mc_purchase_order_detail 的 create_time update_time中的日期部分为 对应的order_date","timestamp":1784109736511,"idempotencyKey":"dea79fe3-9e82-4fcc-932b-78fe7ffb7ea2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，两个表一起处理，都是**采购订单**相关，用 `order_date` 作为日期源。\n\n## 采购订单主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购订单明细表\n\n明细表需要通过 `order_no` 和 `ecid` 关联主表获取 `order_date`：\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order_detail pd\nJOIN dmp_serp.dmp_mc_purchase_order po \n ON pd.ecid = po.ecid AND pd.order_no = po.order_no\nSET \n pd.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pd.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE pd.ecid = 'hsjm';\n```\n\n同样你提到的 **plan_arrival_date**——明细表里也有这个字段，看你样例里也在改它。但你的需求描述里只提了 `create_time` 和 `update_time`，`plan_arrival_date` 是否需要基于主表的 `plan_arrival_date` 同步更新？如果需要，可以加上：\n\n```sql\n-- 在明细表的 SET 中加上 plan_arrival_date 同步\n pd.plan_arrival_date = po.plan_arrival_date,\n```\n\n---\n\n汇总一下你到目前为止的更新清单：\n\n| 序号 | 表 | 日期源字段 |\n|------|-----|-----------|\n| 1 | `dmp_serp.dmp_om_order` | `om_orderdate` |\n| 2 | `dmp_serp.dmp_om_productinfo` | 关联主表 `om_orderdate` |\n| 3 | `dmp_spom.dmp_mrp_main_plan_task` | `plan_start_time` |\n| 4 | `dmp_serp.dmp_mc_purchase_order` | `order_date` |\n| 5 | `dmp_serp.dmp_mc_purchase_order_detail` | 关联主表 `order_date` |\n\n还有其他表要处理吗？一次性都帮你搞定 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":537,"output":666,"cacheRead":28160,"cacheWrite":0,"totalTokens":29363,"cost":{"input":0.0005369999999999999,"output":0.0013319999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0018689999999999998}},"stopReason":"stop","timestamp":1784109737239,"responseId":"4b7762d3-e202-4784-90ea-1934b8437ee9"},{"role":"user","content":"采购到货\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 14:59:11', update_time = '2026-01-22 14:59:11' where ecid = 'hsjm' and arrival_no = 'PAD2026000001';\n\n\n把 时间等于送货时间。\n-- 采购到货主表\n\n\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\n\n把 时间等于送货时间。\n-- 采购到货明细","timestamp":1784109773108,"idempotencyKey":"c1f0893e-59e7-4e66-8ebf-c96466a88991:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `ship_date`（送货时间/发货时间）。\n\n## 采购到货主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购到货明细表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival_detail ad\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON ad.ecid = a.ecid AND ad.arrival_no = a.arrival_no\nSET \n ad.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n ad.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ad.ecid = 'hsjm';\n```\n\n不过我看你的例子里，`ship_date` 和 `arrival_date` 都是 `'2026-01-22'`（同一天）。你说\"时间等于**送货时间**\"，那就是用 `ship_date` 作为日期源，没错吧？还是说你想用 `arrival_date`（到货时间）？\n\n---\n\n## 📋 完整更新清单（截至目前）\n\n| 序号 | 表 | 数据库 | 日期源字段 | 关联方式 |\n|------|-----|--------|-----------|---------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 直接更新 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate` | JOIN 主表 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 直接更新 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 直接更新 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date` | JOIN 主表 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 直接更新 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date` | JOIN 主表 |\n\n还继续有吗？一次性整完 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":427,"output":719,"cacheRead":29312,"cacheWrite":0,"totalTokens":30458,"cost":{"input":0.00042699999999999997,"output":0.001438,"cacheRead":0,"cacheWrite":0,"total":0.001865}},"stopReason":"stop","timestamp":1784109773806,"responseId":"8409c206-8436-4c31-93df-a6c9c78ea7a5"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验","timestamp":1784109808938,"idempotencyKey":"4b7a78ce-766c-439b-8784-ec9eef3f92ac:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**来料检验表**，需要关联**采购到货单**获取 `ship_date`。\n\n关联关系：`qc_task_inspect` 通过某个字段关联到采购到货单？我先看看常见关联方式——通常来料检验单会记录 `arrival_no`（到货单号）和 `ecid`。\n\n如果 `qc_task_inspect` 里有 `arrival_no` 字段，关联到 `dmp_mc_purchase_arrival`：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect qi\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON qi.ecid = a.ecid AND qi.arrival_no = a.arrival_no\nSET \n qi.insp_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.insp_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE qi.ecid = 'hsjm';\n```\n\n不过我需要确认一下——`qc_task_inspect` 里**关联采购到货单的字段名是什么**？常见的有：\n- `arrival_no` — 到货单号\n- `src_bill_no` — 来源单据号\n\n你能看看表结构确认一下关联字段吗？或者直接告诉我 `qc_task_inspect` 里哪个字段存的是到货单号就行。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":317,"output":444,"cacheRead":30336,"cacheWrite":0,"totalTokens":31097,"cost":{"input":0.000317,"output":0.000888,"cacheRead":0,"cacheWrite":0,"total":0.001205}},"stopReason":"stop","timestamp":1784109809545,"responseId":"a97cc980-d1b1-4640-9631-1a5bc07b2155"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验 只有主表","timestamp":1784109834801,"idempotencyKey":"1b1a78a5-b104-491c-8c1a-3388b55520a1:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"只有主表，没有关联明细。那 `qc_task_inspect` 直接用某个字段关联到采购到货单获取 `ship_date`。我需要先看看这个表里有什么关联字段。\n\n让我查一下表结构："},{"type":"toolCall","id":"call00zNFXflO9uvHF88gvemNV1946","name":"exec","arguments":{"command":"mysql -u root -p'YourPassword' -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null || echo \"NEED_PASSWORD\""},"partialArgs":"{\"command\": \"mysql -u root -p'YourPassword' -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null || echo \\\"NEED_PASSWORD\\\"\"}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":320,"output":127,"cacheRead":30976,"cacheWrite":0,"totalTokens":31423,"cost":{"input":0.00031999999999999997,"output":0.000254,"cacheRead":0,"cacheWrite":0,"total":0.000574}},"stopReason":"toolUse","timestamp":1784109835616,"responseId":"6d7b9ef4-7af8-4b71-a201-06dba58c46a8"},{"role":"toolResult","toolCallId":"call00zNFXflO9uvHF88gvemNV1946","toolName":"exec","content":[{"type":"text","text":"NEED_PASSWORD"}],"isError":false,"timestamp":1784109838817},{"role":"assistant","content":[{"type":"toolCall","id":"call00PIuYMg0px60fCGWCIhay2037","name":"exec","arguments":{"command":"mysql -u root -p -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null | head -50","timeout":10},"partialArgs":"{\"command\": \"mysql -u root -p -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null | head -50\", \"timeout\": 10}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":79,"output":90,"cacheRead":31360,"cacheWrite":0,"totalTokens":31529,"cost":{"input":0.000079,"output":0.00017999999999999998,"cacheRead":0,"cacheWrite":0,"total":0.000259}},"stopReason":"toolUse","timestamp":1784109838831,"responseId":"1ac67ea0-15ab-4d4d-8d1a-bec64bd8a1be"},{"role":"toolResult","toolCallId":"call00PIuYMg0px60fCGWCIhay2037","toolName":"exec","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1784109840424},{"role":"assistant","content":[{"type":"text","text":"没有直连数据库的权限，没关系。你看看 `qc_task_inspect` 表里有什么字段可以用来关联到采购到货单？比如：\n\n- `arrival_no`（到货单号）\n- `src_bill_no` / `source_no`（来源单号）\n- `order_no`（采购订单号）\n- 或者其它什么字段？\n\n你告诉我关联字段名，我就能直接写出完整的 SQL 了。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":55,"output":92,"cacheRead":31488,"cacheWrite":0,"totalTokens":31635,"cost":{"input":0.000054999999999999995,"output":0.000184,"cacheRead":0,"cacheWrite":0,"total":0.000239}},"stopReason":"stop","timestamp":1784109840437,"responseId":"e2a7cf1e-c246-4d51-b8a5-498bd181dfce"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验\n-- 批量更新 dmp_smes.qc_task_inspect 的 create_time update_time中的日期部分为 对应insp_time","timestamp":1784109869504,"idempotencyKey":"31a50ea4-daa6-44a6-b525-6e085ebd2335:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"啊，看明白了！你的意思是 **直接用 `insp_time` 作为日期源**，不需要关联到货单：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单汇总\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|--------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 否 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（关联主表） | 是 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 否 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 否 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（关联主表） | 是 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 否 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（关联主表） | 是 |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | 否 |\n\n还有要处理的表吗？一起搞定 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":242,"output":471,"cacheRead":31616,"cacheWrite":0,"totalTokens":32329,"cost":{"input":0.000242,"output":0.0009419999999999999,"cacheRead":0,"cacheWrite":0,"total":0.001184}},"stopReason":"stop","timestamp":1784109870180,"responseId":"0bddd8b3-54ef-4280-b497-c5f6e7c4c117"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in set bill_date='2026-01-23',completed_at='2026-01-24 10:33:27', create_time='2026-01-23 09:56:17',update_time='2026-01-24 10:33:27' where stock_in_no='PE2026000002' and ecid ='hsjm';\n把时间等于最后入库时间。\n-- 采购入库主表\n-- 批量更新 dmp_serp.dmp_im_stock_in 的 create_time update_time中的日期部分为 对应的completed_at","timestamp":1784109898245,"idempotencyKey":"19ea56c9-af6f-4a6e-8331-4c25e67fc817:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `completed_at`（最后入库时间）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（9个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|:----:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n\n还继续有吗？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":229,"output":499,"cacheRead":32256,"cacheWrite":0,"totalTokens":32984,"cost":{"input":0.00022899999999999998,"output":0.000998,"cacheRead":0,"cacheWrite":0,"total":0.001227}},"stopReason":"stop","timestamp":1784109898887,"responseId":"4df6ab45-0f41-4730-9b14-34965a8d2fc5"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in_out_flow_detail set stock_date='2026-01-24',bill_date='2026-01-23',update_time='2026-01-24 09:12:43',create_time='2026-01-23 09:46:37' where flow_no='SIO20260410000001' and ecid ='hsjm';\n\n把时间等于最后入库时间。\n-- 采购出入库记录\n-- 批量更新 dmp_serp.dmp_im_stock_in_out_flow_detail 的 create_time update_time中的日期部分为 对应的stock_date","timestamp":1784109928282,"idempotencyKey":"fc11b4ae-ecb7-44e7-b501-01b59e37bf0c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `stock_date`：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in_out_flow_detail\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（10个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n\n还有吗？一次全整完，然后我给你生成一个**完整的 SQL 脚本文件**，方便你一次性执行 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":247,"output":551,"cacheRead":32896,"cacheWrite":0,"totalTokens":33694,"cost":{"input":0.000247,"output":0.001102,"cacheRead":0,"cacheWrite":0,"total":0.001349}},"stopReason":"stop","timestamp":1784109928948,"responseId":"530e1437-c5c6-4d13-9bd9-ceb4ee9ee99d"},{"role":"user","content":"update dmp_serp.dmp_im_stock_out set bill_date='2026-01-10',delivery_at='2026-01-25 10:26:19', create_time='2026-01-10 11:03:04', update_time='2026-01-25 10:26:19' where stock_out_no='PD2026000127' and ecid='hsjm';\n把时间等于单据日期。\n-- 生产领料单\n-- 批量更新 dmp_serp.dmp_im_stock_out 的 create_time update_time中的日期部分为 对应的bill_date","timestamp":1784109964929,"idempotencyKey":"cce96fb1-3bfc-4883-adaf-9111e6c44dd2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `bill_date`（单据日期）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_out\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（11个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ 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skills.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/clawhub/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/clawhub","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/clawhub","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/clawhub/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"Code","name":"Code","description":"Coding workflow with planning, implementation, verification, and testing for clean software development.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/openclaw-code/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/openclaw-code","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/openclaw-code","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/openclaw-code/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"database-admin","name":"database-admin","description":"Comprehensive database administration, schema management, data operations, and optimization. Use when Codex needs to: (1) Create or modify database tables with proper indexing, (2) Perform bulk data insertions with type safety and constraint handling, (3) Execute complex queries with JOINs, aggregations, and subqueries, (4) Optimize query performance through indexing and execution plan analysis, (5) Manage database backups, restores, and migrations, (6) Handle special data types (BIGINT, UUID, JSONB, enums), (7) Implement transactional safety with ACID compliance, or (8) Debug and resolve database errors including constraint violations, type mismatches, and foreign key issues","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/database-admin/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/database-admin","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/database-admin","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/database-admin/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"database-schema-designer","name":"database-schema-designer","description":"Database Schema Designer","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/database-schema-designer/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/database-schema-designer","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/database-schema-designer","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/database-schema-designer/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"db-query","name":"db-query","description":"Query project databases with automatic SSH tunnel management. Use when you need to execute SQL queries against configured databases, especially those accessible only via SSH tunnels. Automatically manages SSH connection lifecycle (establishes tunnel before query, closes after). Supports multiple databases distinguished by description/name from config file.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/db-query/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/db-query","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/db-query","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/db-query/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"db-schema","name":"db-schema","description":"Generate database schemas, migrations, and ERD diagrams from plain English descriptions — supports PostgreSQL, MySQL, SQLite, and MongoDB with proper indexes and constraints.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/db-schema-gen/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/db-schema-gen","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/db-schema-gen","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/db-schema-gen/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"deep-research-pro","name":"deep-research-pro","description":"Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/deep-research-pro/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/deep-research-pro","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/deep-research-pro","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/deep-research-pro/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"diagram-maker","name":"diagram-maker","description":"Create SVG/HTML or Excalidraw diagrams for concepts, architecture, flows, and whiteboards.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"dingtalk-channel-rules","name":"dingtalk-channel-rules","description":"钉钉会话输出规则。在钉钉会话中始终生效。","filePath":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-channel-rules/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-channel-rules","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-channel-rules","origin":"top-level","path":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-channel-rules/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"dingtalk-troubleshoot","name":"dingtalk-troubleshoot","description":"钉钉连接器问题排查。包含 dws CLI 常见错误处理、授权问题排查和连接故障诊断。\n当 dws 命令执行失败、授权异常、连接中断时自动激活。","filePath":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-troubleshoot/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-troubleshoot","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-troubleshoot","origin":"top-level","path":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-troubleshoot/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"docker-essentials","name":"docker-essentials","description":"Essential Docker commands and workflows for container management, image operations, and debugging.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/docker-essentials/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/docker-essentials","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/docker-essentials","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/docker-essentials/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"dws","name":"dws","description":"管理钉钉产品能力(AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/开放平台文档/钉钉文档/钉钉云盘/AI听记/邮箱/在线电子表格/知识库等)。当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报（钉钉日志模版）、读写钉钉文档、上传下载云盘文件、查询听记纪要、收发邮件、读写在线电子表格(axls)、管理钉钉知识库时使用。","filePath":"$OPENCLAW_STATE_DIR/skills/dws/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/skills/dws","source":"openclaw-managed","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/skills/dws","origin":"top-level","path":"$OPENCLAW_STATE_DIR/skills/dws/SKILL.md","scope":"project","source":"openclaw-managed"},"disableModelInvocation":false,"available":true},{"id":"dws-cli","name":"dws-cli","description":"在钉钉会话中通过 dws CLI 管理钉钉产品能力（AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/工作台等）。\n当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报时使用。","filePath":"$OPENCLAW_STATE_DIR/plugin-skills/dws-cli/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dws-cli","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dws-cli","origin":"top-level","path":"$OPENCLAW_STATE_DIR/plugin-skills/dws-cli/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"healthcheck","name":"healthcheck","description":"Audit/harden OpenClaw hosts: SSH, firewall, updates, exposure, backups, disk encryption, gateway security.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"humanizer","name":"humanizer","description":"Remove signs of AI-generated writing from text. Use when editing or reviewing\ntext to make it sound more natural and human-written. Based on Wikipedia's\ncomprehensive \"Signs of AI writing\" guide. Detects and fixes patterns including:\ninflated symbolism, promotional language, superficial -ing analyses, vague\nattributions, em dash overuse, rule of three, AI vocabulary words, negative\nparallelisms, and excessive conjunctive phrases.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"imap-smtp-email","name":"imap-smtp-email","description":"Read and send email via IMAP/SMTP. Check for new/unread messages, fetch content, search mailboxes, mark as read/unread, and send emails with attachments. Supports multiple accounts. Works with any IMAP/SMTP server including Gmail, Outlook, 163.com, vip.163.com, 126.com, vip.126.com, 188.com, and vip.188.com.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"meme-maker","name":"meme-maker","description":"Search meme templates, suggest formats, and generate local or hosted image memes.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"multi-search-engine","name":"multi-search-engine","description":"Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"MySQL","name":"MySQL","description":"Write correct MySQL queries with proper character sets, indexing, transactions, and production patterns.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"news-summary","name":"news-summary","description":"This skill should be used when the user asks for news updates, daily briefings, or what's happening in the world. Fetches news from trusted international RSS feeds and can create voice summaries.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"node-connect","name":"node-connect","description":"Diagnose OpenClaw Android, iOS, or macOS node pairing, QR/setup code, route, auth, and connection failures.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"node-inspect-debugger","name":"node-inspect-debugger","description":"Debug Node.js with node inspect, --inspect, breakpoints, CDP, heap, and CPU profiles.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"obsidian-official-cli","name":"obsidian-official-cli","description":"Work with Obsidian vaults using the official Obsidian CLI (v1.12+). Open, search, create, move, and manage notes from the terminal. Use when working with Obsidian vaults for note management, file operations, searching content, managing tasks, properties, links, plugins, themes, sync operations, or any command-line interaction with Obsidian.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"opencode-controller","name":"opencode-controller","description":"Control and operate Opencode via slash commands. Use this skill to manage sessions, select models, switch agents (plan/build), and coordinate coding through Opencode.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"openspec","name":"openspec","description":"Spec-driven development with OpenSpec CLI. Use when building features, migrations, refactors, or any structured development work. Manages proposal → specs → design → tasks → implementation workflows. Supports custom schemas (TDD, rapid, etc.). Trigger on requests involving feature planning, spec writing, change management, or when /opsx commands are mentioned.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/openspec/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/openspec","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/openspec","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/openspec/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"python-debugpy","name":"python-debugpy","description":"Debug Python with pdb, breakpoint(), post-mortem inspection, and debugpy remote attach.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"qiushi-openclaw-skills","name":"qiushi-openclaw-skills","description":"求是 OpenClaw Skills 是基于毛泽东思想方法论的 AI Agent 技能集合，按照 OpenClaw 技能格式进行改造，旨在为 AI 提供系统化的思考和行动框架。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"requirements-analyst","name":"requirements-analyst","description":"将产品需求转化为前后端可执行的技术规范，输出离线性优先的结构化文档。当用户提出产品需求、PRD、功能描述或模糊想法时自动触发。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"rss-ai-reader","name":"rss-ai-reader","description":"📰 RSS AI 阅读器 — 自动抓取订阅、LLM生成摘要、多渠道推送！\n支持 Claude/OpenAI 生成中文摘要，推送到飞书/Telegram/Email。\n触发条件: 用户要求订阅RSS、监控博客、抓取新闻、生成摘要、设置定时抓取、\n\"帮我订阅\"、\"监控这个网站\"、\"每天推送新闻\"、RSS/Atom feed 相关。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"skill-creator","name":"skill-creator","description":"Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"spike","name":"spike","description":"Run throwaway prototypes to validate feasibility, compare approaches, and report a verdict.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"Spreadsheet & Data Wrangling Master","name":"Spreadsheet & Data Wrangling Master","description":"Complete spreadsheet methodology — data cleanup, transformation, analysis, dashboards, automation, and reporting. Works with CSV, Excel, Google Sheets, or any tabular data. Use when the user needs to clean messy data, build reports, create dashboards, automate recurring spreadsheet tasks, or transform data between formats.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"sql-toolkit","name":"sql-toolkit","description":"Query, design, migrate, and optimize SQL databases. Use when working with SQLite, PostgreSQL, or MySQL — schema design, writing queries, creating migrations, indexing, backup/restore, and debugging slow queries. No ORMs required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"taskflow","name":"taskflow","description":"Coordinate multi-step detached tasks as one durable TaskFlow job with owner context, state, waits, and child tasks.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"taskflow-inbox-triage","name":"taskflow-inbox-triage","description":"Example TaskFlow pattern for inbox triage, intent routing, waiting on replies, and later summaries.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"using-superpowers","name":"using-superpowers","description":"Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"weather","name":"weather","description":"Get current weather and forecasts (no API key required).","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/weather/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/weather","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/weather","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/weather/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"web-search","name":"web-search","description":"This skill should be used when users need to search the web for information, find current content, look up news articles, search for images, or find videos. It uses a self-hosted SearXNG instance to return results in clean, formatted output (text, markdown, or JSON). Use for research, fact-checking, finding recent information, or gathering web resources.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/web-search/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/web-search","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/web-search","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/web-search/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true}]},"prompting":{"skillsPrompt":"\n\nThe following skills provide specialized instructions for specific tasks.\nUse the read tool to load a skill's file when the task matches its description.\nIf a skill's <version> differs from a previous turn, re-read its SKILL.md before using it.\nWhen a skill file references a relative path, resolve it against the skill directory (parent of SKILL.md / dirname of the path) and use that absolute path in tool commands.\n\n<available_skills>\n <skill>\n <name>agent-browser</name>\n <description>Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection</description>\n <location>~/.openclaw/workspace/skills/agent-browser-clawdbot/SKILL.md</location>\n <version>sha256:9643b9c65476eedd</version>\n </skill>\n <skill>\n <name>chinese-calendar</name>\n <description>获取中国日历信息，包括节假日、调休安排、工作日判断。使用 timor.tech API，数据每年自动更新。Use when: 需要判断某天是否是工作日、查询节假日安排、了解调休情况。</description>\n <location>~/.openclaw/workspace/skills/chinese-calendar/SKILL.md</location>\n <version>sha256:40a9ba942647e641</version>\n </skill>\n <skill>\n <name>clawhub</name>\n <description>Search ClawHub for skills when a requested capability is not already available; install, verify, update, publish, or sync skills.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/clawhub/SKILL.md</location>\n <version>sha256:6bb70d95cbd1a545</version>\n </skill>\n <skill>\n <name>Code</name>\n <description>Coding workflow with planning, implementation, verification, and testing for clean software development.</description>\n <location>~/.openclaw/workspace/skills/openclaw-code/SKILL.md</location>\n <version>sha256:f09694134cc55cc0</version>\n </skill>\n <skill>\n <name>database-admin</name>\n <description>Comprehensive database administration, schema management, data operations, and optimization. Use when Codex needs to: (1) Create or modify database tables with proper indexing, (2) Perform bulk data insertions with type safety and constraint handling, (3) Execute complex queries with JOINs, aggregations, and subqueries, (4) Optimize query performance through indexing and execution plan analysis, (5) Manage database backups, restores, and migrations, (6) Handle special data types (BIGINT, UUID, JSONB, enums), (7) Implement transactional safety with ACID compliance, or (8) Debug and resolve database errors including constraint violations, type mismatches, and foreign key issues</description>\n <location>~/.openclaw/workspace/skills/database-admin/SKILL.md</location>\n <version>sha256:7649e43727f2fb8b</version>\n </skill>\n <skill>\n <name>database-schema-designer</name>\n <description>Database Schema Designer</description>\n <location>~/.openclaw/workspace/skills/database-schema-designer/SKILL.md</location>\n <version>sha256:3f2282ec8135dfdf</version>\n </skill>\n <skill>\n <name>db-query</name>\n <description>Query project databases with automatic SSH tunnel management. Use when you need to execute SQL queries against configured databases, especially those accessible only via SSH tunnels. Automatically manages SSH connection lifecycle (establishes tunnel before query, closes after). Supports multiple databases distinguished by description/name from config file.</description>\n <location>~/.openclaw/workspace/skills/db-query/SKILL.md</location>\n <version>sha256:eaffe1e617f2b8f2</version>\n </skill>\n <skill>\n <name>db-schema</name>\n <description>Generate database schemas, migrations, and ERD diagrams from plain English descriptions — supports PostgreSQL, MySQL, SQLite, and MongoDB with proper indexes and constraints.</description>\n <location>~/.openclaw/workspace/skills/db-schema-gen/SKILL.md</location>\n <version>sha256:c511ce8bb306f227</version>\n </skill>\n <skill>\n <name>deep-research-pro</name>\n <description>Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.</description>\n <location>~/.openclaw/workspace/skills/deep-research-pro/SKILL.md</location>\n <version>sha256:a780f8bbec442198</version>\n </skill>\n <skill>\n <name>diagram-maker</name>\n <description>Create SVG/HTML or Excalidraw diagrams for concepts, architecture, flows, and whiteboards.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker/SKILL.md</location>\n <version>sha256:6195e03fcb04a1a6</version>\n </skill>\n <skill>\n <name>dingtalk-channel-rules</name>\n <description>钉钉会话输出规则。在钉钉会话中始终生效。</description>\n <location>~/.openclaw/plugin-skills/dingtalk-channel-rules/SKILL.md</location>\n <version>sha256:4abd7ff39fd8ab23</version>\n </skill>\n <skill>\n <name>dingtalk-troubleshoot</name>\n <description>钉钉连接器问题排查。包含 dws CLI 常见错误处理、授权问题排查和连接故障诊断。\n当 dws 命令执行失败、授权异常、连接中断时自动激活。</description>\n <location>~/.openclaw/plugin-skills/dingtalk-troubleshoot/SKILL.md</location>\n <version>sha256:831e1260e77bcf9b</version>\n </skill>\n <skill>\n <name>docker-essentials</name>\n <description>Essential Docker commands and workflows for container management, image operations, and debugging.</description>\n <location>~/.openclaw/workspace/skills/docker-essentials/SKILL.md</location>\n <version>sha256:bf8120febd5275b0</version>\n </skill>\n <skill>\n <name>dws</name>\n <description>管理钉钉产品能力(AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/开放平台文档/钉钉文档/钉钉云盘/AI听记/邮箱/在线电子表格/知识库等)。当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报（钉钉日志模版）、读写钉钉文档、上传下载云盘文件、查询听记纪要、收发邮件、读写在线电子表格(axls)、管理钉钉知识库时使用。</description>\n <location>~/.openclaw/skills/dws/SKILL.md</location>\n <version>sha256:25f131a2e41eeeca</version>\n </skill>\n <skill>\n <name>dws-cli</name>\n <description>在钉钉会话中通过 dws CLI 管理钉钉产品能力（AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/工作台等）。\n当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报时使用。</description>\n <location>~/.openclaw/plugin-skills/dws-cli/SKILL.md</location>\n <version>sha256:e1e0cb89e56c9a8d</version>\n </skill>\n <skill>\n <name>healthcheck</name>\n <description>Audit/harden OpenClaw hosts: SSH, firewall, updates, exposure, backups, disk encryption, gateway security.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck/SKILL.md</location>\n <version>sha256:518ec6e0482cf1c7</version>\n </skill>\n <skill>\n <name>humanizer</name>\n <description>Remove signs of AI-generated writing from text. Use when editing or reviewing\ntext to make it sound more natural and human-written. Based on Wikipedia's\ncomprehensive "Signs of AI writing" guide. Detects and fixes patterns including:\ninflated symbolism, promotional language, superficial -ing analyses, vague\nattributions, em dash overuse, rule of three, AI vocabulary words, negative\nparallelisms, and excessive conjunctive phrases.</description>\n <location>~/.openclaw/workspace/skills/humanizer/SKILL.md</location>\n <version>sha256:d7ce483d368e4301</version>\n </skill>\n <skill>\n <name>imap-smtp-email</name>\n <description>Read and send email via IMAP/SMTP. Check for new/unread messages, fetch content, search mailboxes, mark as read/unread, and send emails with attachments. Supports multiple accounts. Works with any IMAP/SMTP server including Gmail, Outlook, 163.com, vip.163.com, 126.com, vip.126.com, 188.com, and vip.188.com.</description>\n <location>~/.openclaw/workspace/skills/imap-smtp-email/SKILL.md</location>\n <version>sha256:01345a894f2863a4</version>\n </skill>\n <skill>\n <name>meme-maker</name>\n <description>Search meme templates, suggest formats, and generate local or hosted image memes.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md</location>\n <version>sha256:8b8832f9f0f58b16</version>\n </skill>\n <skill>\n <name>multi-search-engine</name>\n <description>Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required.</description>\n <location>~/.openclaw/workspace/skills/multi-search-engine/SKILL.md</location>\n <version>sha256:ef2d2706e82ad0fc</version>\n </skill>\n <skill>\n <name>MySQL</name>\n <description>Write correct MySQL queries with proper character sets, indexing, transactions, and production patterns.</description>\n <location>~/.openclaw/workspace/skills/MySQL/SKILL.md</location>\n <version>sha256:97003e1d9502f459</version>\n </skill>\n <skill>\n <name>news-summary</name>\n <description>This skill should be used when the user asks for news updates, daily briefings, or what's happening in the world. Fetches news from trusted international RSS feeds and can create voice summaries.</description>\n <location>~/.openclaw/workspace/skills/news-summary/SKILL.md</location>\n <version>sha256:1b4c45b56f567567</version>\n </skill>\n <skill>\n <name>node-connect</name>\n <description>Diagnose OpenClaw Android, iOS, or macOS node pairing, QR/setup code, route, auth, and connection failures.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md</location>\n <version>sha256:cc39026fd84e5cfa</version>\n </skill>\n <skill>\n <name>node-inspect-debugger</name>\n <description>Debug Node.js with node inspect, --inspect, breakpoints, CDP, heap, and CPU profiles.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md</location>\n <version>sha256:50d2f6828eaf4bbf</version>\n </skill>\n <skill>\n <name>obsidian-official-cli</name>\n <description>Work with Obsidian vaults using the official Obsidian CLI (v1.12+). 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Manages proposal → specs → design → tasks → implementation workflows. Supports custom schemas (TDD, rapid, etc.). 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对应的report_date","messages":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate \n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","timestamp":1784109538113,"idempotencyKey":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"},{"role":"user","content":"保留原时分秒，只改日期部分\nUPDATE dmp_spom.dmp_mrp_main_plan_task SET plan_start_time='2026-07-07 11:03:04',create_time='2026-07-07 10:58:04',update_time='2026-07-07 11:03:04' WHERE ecid='kanda' AND plan_no='PLAN2026071414255193535522';\n-- 物料计划主表\n-- 批量更新 dmp_spom.dmp_mrp_main_plan_task 的 create_time update_time中的日期部分为 对应的plan_start_time","timestamp":1784109596434,"idempotencyKey":"7c28a842-8a9f-4cc4-9094-1298d4ce1a5c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**物料计划主表 `dmp_mrp_main_plan_task`**，要把 `create_time` 和 `update_time` 的日期部分改为对应的 `plan_start_time`，保留原时分秒。\n\n## 更新脚本\n\n```sql\nUPDATE dmp_spom.dmp_mrp_main_plan_task\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'kanda';\n```\n\n范围条件？我看你前面说的是\"计划开始时间是7月份的数据\"，但 `plan_start_time` 看样例已经是 7 月份。你对范围有要求吗？比如：\n\n```sql\n-- 如果只要 plan_start_time 在7月份的数据\nAND plan_start_time >= '2026-07-01' AND plan_start_time < '2026-08-01'\n\n-- 或者只要 plan_start_time 日期和 create_time 日期不一致的（避免无意义更新）\nAND DATE(plan_start_time) != DATE(create_time)\n```\n\n需要加范围条件吗？还是直接全量更新 `ecid = 'kanda'` 的所有记录？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":1021,"output":340,"cacheRead":26880,"cacheWrite":0,"totalTokens":28241,"cost":{"input":0.001021,"output":0.0006799999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0017009999999999998}},"stopReason":"stop","timestamp":1784109597165,"responseId":"3546056a-f6d1-4805-b0d2-e4d5739d2293"},{"role":"user","content":"采购订单\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37' where ecid = 'hsjm' and order_no ='PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 16:10:47', update_time ='2026-01-12 16:10:47' where ecid = 'hsjm' and order_no ='PO2026000002';\n把 时间等于下单时间。\n-- 采购订单\n-- 批量更新 dmp_serp.dmp_mc_purchase_order 的 create_time update_time中的日期部分为 对应的order_date\n\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\n把 时间等于下单时间。\n\n-- 采购明细表\n-- 批量更新 dmp_serp.dmp_mc_purchase_order_detail 的 create_time update_time中的日期部分为 对应的order_date","timestamp":1784109736511,"idempotencyKey":"dea79fe3-9e82-4fcc-932b-78fe7ffb7ea2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，两个表一起处理，都是**采购订单**相关，用 `order_date` 作为日期源。\n\n## 采购订单主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购订单明细表\n\n明细表需要通过 `order_no` 和 `ecid` 关联主表获取 `order_date`：\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order_detail pd\nJOIN dmp_serp.dmp_mc_purchase_order po \n ON pd.ecid = po.ecid AND pd.order_no = po.order_no\nSET \n pd.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pd.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE pd.ecid = 'hsjm';\n```\n\n同样你提到的 **plan_arrival_date**——明细表里也有这个字段，看你样例里也在改它。但你的需求描述里只提了 `create_time` 和 `update_time`，`plan_arrival_date` 是否需要基于主表的 `plan_arrival_date` 同步更新？如果需要，可以加上：\n\n```sql\n-- 在明细表的 SET 中加上 plan_arrival_date 同步\n pd.plan_arrival_date = po.plan_arrival_date,\n```\n\n---\n\n汇总一下你到目前为止的更新清单：\n\n| 序号 | 表 | 日期源字段 |\n|------|-----|-----------|\n| 1 | `dmp_serp.dmp_om_order` | `om_orderdate` |\n| 2 | `dmp_serp.dmp_om_productinfo` | 关联主表 `om_orderdate` |\n| 3 | `dmp_spom.dmp_mrp_main_plan_task` | `plan_start_time` |\n| 4 | `dmp_serp.dmp_mc_purchase_order` | `order_date` |\n| 5 | `dmp_serp.dmp_mc_purchase_order_detail` | 关联主表 `order_date` |\n\n还有其他表要处理吗？一次性都帮你搞定 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":537,"output":666,"cacheRead":28160,"cacheWrite":0,"totalTokens":29363,"cost":{"input":0.0005369999999999999,"output":0.0013319999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0018689999999999998}},"stopReason":"stop","timestamp":1784109737239,"responseId":"4b7762d3-e202-4784-90ea-1934b8437ee9"},{"role":"user","content":"采购到货\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 14:59:11', update_time = '2026-01-22 14:59:11' where ecid = 'hsjm' and arrival_no = 'PAD2026000001';\n\n\n把 时间等于送货时间。\n-- 采购到货主表\n\n\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\n\n把 时间等于送货时间。\n-- 采购到货明细","timestamp":1784109773108,"idempotencyKey":"c1f0893e-59e7-4e66-8ebf-c96466a88991:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `ship_date`（送货时间/发货时间）。\n\n## 采购到货主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购到货明细表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival_detail ad\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON ad.ecid = a.ecid AND ad.arrival_no = a.arrival_no\nSET \n ad.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n ad.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ad.ecid = 'hsjm';\n```\n\n不过我看你的例子里，`ship_date` 和 `arrival_date` 都是 `'2026-01-22'`（同一天）。你说\"时间等于**送货时间**\"，那就是用 `ship_date` 作为日期源，没错吧？还是说你想用 `arrival_date`（到货时间）？\n\n---\n\n## 📋 完整更新清单（截至目前）\n\n| 序号 | 表 | 数据库 | 日期源字段 | 关联方式 |\n|------|-----|--------|-----------|---------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 直接更新 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate` | JOIN 主表 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 直接更新 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 直接更新 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date` | JOIN 主表 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 直接更新 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date` | JOIN 主表 |\n\n还继续有吗？一次性整完 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":427,"output":719,"cacheRead":29312,"cacheWrite":0,"totalTokens":30458,"cost":{"input":0.00042699999999999997,"output":0.001438,"cacheRead":0,"cacheWrite":0,"total":0.001865}},"stopReason":"stop","timestamp":1784109773806,"responseId":"8409c206-8436-4c31-93df-a6c9c78ea7a5"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验","timestamp":1784109808938,"idempotencyKey":"4b7a78ce-766c-439b-8784-ec9eef3f92ac:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**来料检验表**，需要关联**采购到货单**获取 `ship_date`。\n\n关联关系：`qc_task_inspect` 通过某个字段关联到采购到货单？我先看看常见关联方式——通常来料检验单会记录 `arrival_no`（到货单号）和 `ecid`。\n\n如果 `qc_task_inspect` 里有 `arrival_no` 字段，关联到 `dmp_mc_purchase_arrival`：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect qi\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON qi.ecid = a.ecid AND qi.arrival_no = a.arrival_no\nSET \n qi.insp_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.insp_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE qi.ecid = 'hsjm';\n```\n\n不过我需要确认一下——`qc_task_inspect` 里**关联采购到货单的字段名是什么**？常见的有：\n- `arrival_no` — 到货单号\n- `src_bill_no` — 来源单据号\n\n你能看看表结构确认一下关联字段吗？或者直接告诉我 `qc_task_inspect` 里哪个字段存的是到货单号就行。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":317,"output":444,"cacheRead":30336,"cacheWrite":0,"totalTokens":31097,"cost":{"input":0.000317,"output":0.000888,"cacheRead":0,"cacheWrite":0,"total":0.001205}},"stopReason":"stop","timestamp":1784109809545,"responseId":"a97cc980-d1b1-4640-9631-1a5bc07b2155"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验 只有主表","timestamp":1784109834801,"idempotencyKey":"1b1a78a5-b104-491c-8c1a-3388b55520a1:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"只有主表，没有关联明细。那 `qc_task_inspect` 直接用某个字段关联到采购到货单获取 `ship_date`。我需要先看看这个表里有什么关联字段。\n\n让我查一下表结构："},{"type":"toolCall","id":"call00zNFXflO9uvHF88gvemNV1946","name":"exec","arguments":{"command":"mysql -u root -p'YourPassword' -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null || echo \"NEED_PASSWORD\""},"partialArgs":"{\"command\": \"mysql -u root -p'YourPassword' -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null || echo \\\"NEED_PASSWORD\\\"\"}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":320,"output":127,"cacheRead":30976,"cacheWrite":0,"totalTokens":31423,"cost":{"input":0.00031999999999999997,"output":0.000254,"cacheRead":0,"cacheWrite":0,"total":0.000574}},"stopReason":"toolUse","timestamp":1784109835616,"responseId":"6d7b9ef4-7af8-4b71-a201-06dba58c46a8"},{"role":"toolResult","toolCallId":"call00zNFXflO9uvHF88gvemNV1946","toolName":"exec","content":[{"type":"text","text":"NEED_PASSWORD"}],"isError":false,"timestamp":1784109838817},{"role":"assistant","content":[{"type":"toolCall","id":"call00PIuYMg0px60fCGWCIhay2037","name":"exec","arguments":{"command":"mysql -u root -p -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null | head -50","timeout":10},"partialArgs":"{\"command\": \"mysql -u root -p -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null | head -50\", \"timeout\": 10}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":79,"output":90,"cacheRead":31360,"cacheWrite":0,"totalTokens":31529,"cost":{"input":0.000079,"output":0.00017999999999999998,"cacheRead":0,"cacheWrite":0,"total":0.000259}},"stopReason":"toolUse","timestamp":1784109838831,"responseId":"1ac67ea0-15ab-4d4d-8d1a-bec64bd8a1be"},{"role":"toolResult","toolCallId":"call00PIuYMg0px60fCGWCIhay2037","toolName":"exec","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1784109840424},{"role":"assistant","content":[{"type":"text","text":"没有直连数据库的权限，没关系。你看看 `qc_task_inspect` 表里有什么字段可以用来关联到采购到货单？比如：\n\n- `arrival_no`（到货单号）\n- `src_bill_no` / `source_no`（来源单号）\n- `order_no`（采购订单号）\n- 或者其它什么字段？\n\n你告诉我关联字段名，我就能直接写出完整的 SQL 了。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":55,"output":92,"cacheRead":31488,"cacheWrite":0,"totalTokens":31635,"cost":{"input":0.000054999999999999995,"output":0.000184,"cacheRead":0,"cacheWrite":0,"total":0.000239}},"stopReason":"stop","timestamp":1784109840437,"responseId":"e2a7cf1e-c246-4d51-b8a5-498bd181dfce"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验\n-- 批量更新 dmp_smes.qc_task_inspect 的 create_time update_time中的日期部分为 对应insp_time","timestamp":1784109869504,"idempotencyKey":"31a50ea4-daa6-44a6-b525-6e085ebd2335:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"啊，看明白了！你的意思是 **直接用 `insp_time` 作为日期源**，不需要关联到货单：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单汇总\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|--------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 否 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（关联主表） | 是 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 否 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 否 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（关联主表） | 是 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 否 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（关联主表） | 是 |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | 否 |\n\n还有要处理的表吗？一起搞定 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":242,"output":471,"cacheRead":31616,"cacheWrite":0,"totalTokens":32329,"cost":{"input":0.000242,"output":0.0009419999999999999,"cacheRead":0,"cacheWrite":0,"total":0.001184}},"stopReason":"stop","timestamp":1784109870180,"responseId":"0bddd8b3-54ef-4280-b497-c5f6e7c4c117"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in set bill_date='2026-01-23',completed_at='2026-01-24 10:33:27', create_time='2026-01-23 09:56:17',update_time='2026-01-24 10:33:27' where stock_in_no='PE2026000002' and ecid ='hsjm';\n把时间等于最后入库时间。\n-- 采购入库主表\n-- 批量更新 dmp_serp.dmp_im_stock_in 的 create_time update_time中的日期部分为 对应的completed_at","timestamp":1784109898245,"idempotencyKey":"19ea56c9-af6f-4a6e-8331-4c25e67fc817:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `completed_at`（最后入库时间）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（9个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|:----:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n\n还继续有吗？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":229,"output":499,"cacheRead":32256,"cacheWrite":0,"totalTokens":32984,"cost":{"input":0.00022899999999999998,"output":0.000998,"cacheRead":0,"cacheWrite":0,"total":0.001227}},"stopReason":"stop","timestamp":1784109898887,"responseId":"4df6ab45-0f41-4730-9b14-34965a8d2fc5"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in_out_flow_detail set stock_date='2026-01-24',bill_date='2026-01-23',update_time='2026-01-24 09:12:43',create_time='2026-01-23 09:46:37' where flow_no='SIO20260410000001' and ecid ='hsjm';\n\n把时间等于最后入库时间。\n-- 采购出入库记录\n-- 批量更新 dmp_serp.dmp_im_stock_in_out_flow_detail 的 create_time update_time中的日期部分为 对应的stock_date","timestamp":1784109928282,"idempotencyKey":"fc11b4ae-ecb7-44e7-b501-01b59e37bf0c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `stock_date`：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in_out_flow_detail\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（10个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n\n还有吗？一次全整完，然后我给你生成一个**完整的 SQL 脚本文件**，方便你一次性执行 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":247,"output":551,"cacheRead":32896,"cacheWrite":0,"totalTokens":33694,"cost":{"input":0.000247,"output":0.001102,"cacheRead":0,"cacheWrite":0,"total":0.001349}},"stopReason":"stop","timestamp":1784109928948,"responseId":"530e1437-c5c6-4d13-9bd9-ceb4ee9ee99d"},{"role":"user","content":"update dmp_serp.dmp_im_stock_out set bill_date='2026-01-10',delivery_at='2026-01-25 10:26:19', create_time='2026-01-10 11:03:04', update_time='2026-01-25 10:26:19' where stock_out_no='PD2026000127' and ecid='hsjm';\n把时间等于单据日期。\n-- 生产领料单\n-- 批量更新 dmp_serp.dmp_im_stock_out 的 create_time update_time中的日期部分为 对应的bill_date","timestamp":1784109964929,"idempotencyKey":"cce96fb1-3bfc-4883-adaf-9111e6c44dd2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `bill_date`（单据日期）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_out\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（11个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n\n继续还是可以帮你生成完整脚本了？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":185,"output":566,"cacheRead":33664,"cacheWrite":0,"totalTokens":34415,"cost":{"input":0.000185,"output":0.001132,"cacheRead":0,"cacheWrite":0,"total":0.001317}},"stopReason":"stop","timestamp":1784109965649,"responseId":"46255802-137d-4009-afcd-6da8548f271b"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in_out_flow_detail set stock_date='2026-04-05',bill_date='2026-03-21',update_time='2026-04-05 14:07:09',create_time='2026-03-21 12:11:27' where flow_no='SIO20260410000236' and ecid ='hsjm';\n把时间等于单据日期。\n-- -领料出库记录\n-- 批量更新 dmp_serp.dmp_im_stock_in_out_flow_detail 的 create_time update_time中的日期部分为 对应的stock_date","timestamp":1784109993896,"idempotencyKey":"90f480c3-711d-4afa-8813-526c1cba7146:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"这个表之前已经处理过了（序号10），但之前的日期源是 `stock_date`（你说\"时间等于最后入库时间\"），现在这个你说\"时间等于单据日期\"。\n\n那我看看——同一个表 `dmp_im_stock_in_out_flow_detail`，之前是入库记录用 `stock_date`，现在是出库记录也用 `stock_date`，其实是一样的对吧？\n\n那我保持之前的脚本不变（用 `stock_date` 作为日期源），它已经覆盖了这个表的所有 `ecid = 'hsjm'` 记录：\n\n```sql\n-- 已在序号10中覆盖，无需重复\n```\n\n不过如果你想**区分入库和出库**来用不同的日期源，那就需要告诉我用什么字段来区分（比如单据类型字段）。\n\n还是说这个表统一用 `stock_date` 就行了？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":270,"output":172,"cacheRead":34304,"cacheWrite":0,"totalTokens":34746,"cost":{"input":0.00027,"output":0.00034399999999999996,"cacheRead":0,"cacheWrite":0,"total":0.000614}},"stopReason":"stop","timestamp":1784109994584,"responseId":"0e44ed7f-eb7e-4ba0-a1c8-3045b209ec87"}],"tools":[{"name":"agents_list","description":"List agent ids allowed for `sessions_spawn runtime=\"subagent\"`.","parameters":{"type":"object","properties":{}}},{"name":"apply_patch","description":"Apply a patch to one or more files using the apply_patch format. The input should include *** Begin Patch and *** End Patch markers.","parameters":{"type":"object","required":["input"],"properties":{"input":{"type":"string","description":"Patch content using the *** Begin Patch/End Patch format."}}}},{"name":"create_goal","description":"Create a goal only when explicitly requested by the user or system instructions. Fails if a goal already exists; use user-facing goal controls to clear it.","parameters":{"type":"object","required":["objective"],"properties":{"objective":{"type":"string","description":"Concrete objective to pursue. Create only when explicitly requested."},"token_budget":{"type":"number","description":"Optional positive token budget for this goal."}}}},{"name":"cron","description":"Manage Gateway cron jobs and wake events: reminders, check-back-later, delayed follow-ups, recurring work. Do not emulate scheduling with exec sleep/process polling.\n\nMain cron => system events for heartbeat. Isolated cron => background task in `openclaw tasks`.\n\nACTIONS:\n- status: scheduler status\n- list: compact job summaries; includeDisabled true includes disabled; use get for full job details; agentId filter auto-filled from session\n- get: one job; needs jobId\n- add: create job; needs job object\n- update: patch job; needs jobId + patch\n- remove: delete job; needs jobId\n- run: run only if due by default; needs jobId; pass runMode=\"force\" to trigger now\n- runs: run history; needs jobId\n- wake: send wake event; needs text, optional mode; defaults the target to the calling session/agent. Pass top-level sessionKey/agentId to wake a different lane owned by the calling agent.\n\nJOB SCHEMA (for add action):\n{\n \"name\": \"string\",\n \"schedule\": { ... }, // required\n \"trigger\": { \"script\": \"...\", \"once\": false }, // optional condition gate for every/cron\n \"payload\": { ... }, // required\n \"delivery\": { ... }, // optional announce for isolated/current/session, webhook for any target\n \"sessionTarget\": \"main\" | \"isolated\" | \"current\" | \"session:<id>\",\n \"enabled\": true | false // default true\n}\n\nSESSION TARGET OPTIONS:\n- \"main\": main session; requires payload.kind=\"systemEvent\"\n- \"isolated\": ephemeral isolated session; requires payload.kind=\"agentTurn\"\n- \"current\": bind current session at creation\n- \"session:<id>\": persistent named session\n\nDEFAULTS:\n- payload.kind=\"systemEvent\" → defaults to \"main\"\n- payload.kind=\"agentTurn\" → defaults to \"isolated\"\nCurrent binding needs sessionTarget=\"current\".\n\nSCHEDULE TYPES (schedule.kind):\n- \"at\": one-shot absolute time\n { \"kind\": \"at\", \"at\": \"<ISO-8601 timestamp>\" }\n- \"every\": recurring interval\n { \"kind\": \"every\", \"everyMs\": <ms>, \"anchorMs\": <optional-ms> }\n- \"cron\": expr in supplied timezone, or Gateway host local timezone when tz omitted\n { \"kind\": \"cron\", \"expr\": \"<cron-expression>\", \"tz\": \"<optional-IANA-timezone>\" }\n Write expr in local wall-clock time; do not convert the requested local time to UTC first.\n tz omitted => Gateway host local timezone, not UTC.\n Example 6pm Shanghai daily: { \"kind\": \"cron\", \"expr\": \"0 18 * * *\", \"tz\": \"Asia/Shanghai\" }\n\nOptional trigger scripts poll headlessly on every/cron schedules and run the payload only when they return { fire: true }.\n\nFor \"at\", ISO timestamps without timezone are UTC.\n\nPAYLOAD TYPES (payload.kind):\n- \"systemEvent\": inject text as system event\n { \"kind\": \"systemEvent\", \"text\": \"<message>\" }\n- \"agentTurn\": run agent with prompt; isolated/current/session only\n { \"kind\": \"agentTurn\", \"message\": \"<prompt>\", \"model\": \"<optional>\", \"thinking\": \"<optional>\", \"timeoutSeconds\": <optional, 0=no timeout> }\n\nDELIVERY (top-level):\n { \"mode\": \"none|announce|webhook\", \"channel\": \"<optional>\", \"to\": \"<optional>\", \"threadId\": \"<optional>\", \"bestEffort\": <optional-bool> }\n - isolated agentTurn default when omitted: \"announce\"\n - announce: send to chat channel; isolated/current/session only; optional channel/to\n - threadId: chat thread/topic id\n - webhook: POST finished-run event to delivery.to URL\n - Specific chat/recipient: set announce delivery.channel/to; do not call messaging tools inside run.\n\nCRITICAL CONSTRAINTS:\n- sessionTarget=\"main\" REQUIRES payload.kind=\"systemEvent\"\n- sessionTarget=\"isolated\" | \"current\" | \"session:xxx\" REQUIRES payload.kind=\"agentTurn\"\n- Webhook: delivery.mode=\"webhook\" and delivery.to URL.\nDefault: prefer isolated agentTurn jobs unless the user explicitly wants current-session binding.\n\nRESTRICTED CRON RUNS:\n- Some isolated cron runs get narrow self-cleanup grant: status/list self-only, get/runs current job only, mutation only remove current job.\n\nWAKE MODES (for wake action):\n- \"next-heartbeat\" default: wake next heartbeat\n- \"now\": wake immediately\n\nUse jobId canonical; id accepted compat. contextMessages (0-10) adds previous messages as job context.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"includeDisabled":{"type":"boolean"},"job":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"additionalProperties":true},"jobId":{"type":"string"},"id":{"type":"string"},"patch":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"additionalProperties":true},"text":{"type":"string"},"mode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"runMode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Run mode for action=\"run\": omitted defaults to \"due\"; use \"force\" to trigger now."},"contextMessages":{"type":"integer","minimum":0,"maximum":10},"agentId":{"type":"string","description":"List filter for `action: \"list\"`; wake target override for `action: \"wake\"` (defaults to the calling agent when omitted on wake)"},"sessionKey":{"type":"string","description":"Wake target override for `action: \"wake\"`: route the event to another session owned by the calling agent. Defaults to the resolved calling-session key when omitted."}},"additionalProperties":true}},{"name":"edit","description":"Edit a single file using exact text replacement. Every edits[].oldText must match a unique, non-overlapping region of the original file. If two changes affect the same block or nearby lines, merge them into one edit instead of emitting overlapping edits. Do not include large unchanged regions just to connect distant changes.","parameters":{"type":"object","required":["path","edits"],"properties":{"path":{"type":"string","description":"Path to the file to edit (relative or absolute)"},"edits":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"One or more targeted replacements. Each edit is matched against the original file, not incrementally. Do not include overlapping or nested edits. If two changes touch the same block or nearby lines, merge them into one edit instead."}},"additionalProperties":false}},{"name":"exec","description":"Execute shell commands with background continuation for work that starts now. Use yieldMs/background to continue later via process tool. For long-running work started now, rely on automatic completion wake when it is enabled and the command emits output or fails; otherwise use process to confirm completion. Use process whenever you need logs, status, input, or intervention. Do not use exec sleep or delay loops for reminders or deferred follow-ups; use cron instead. Use pty=true for TTY-required commands (terminal UIs, coding agents).","parameters":{"type":"object","required":["command"],"properties":{"command":{"type":"string","description":"Shell command to execute"},"workdir":{"type":"string","description":"Working directory. Blank/whitespace values are invalid; omit to use the default cwd."},"env":{"type":"object","patternProperties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"yieldMs":{"type":"number","description":"Milliseconds to wait before backgrounding (default 10000)"},"background":{"type":"boolean","description":"Run in background immediately"},"timeout":{"type":"number","description":"Timeout in seconds (optional, kills process on expiry)"},"pty":{"type":"boolean","description":"Run in a pseudo-terminal (PTY) when available (TTY-required CLIs, coding agents)"},"elevated":{"type":"boolean","description":"Run on the host with elevated permissions (if allowed)"},"host":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Exec host/target (auto|sandbox|gateway|node)."},"security":{"type":"string","description":"Ignored for normal calls; exec security is set by tools.exec.security and host approvals."},"ask":{"type":"string","description":"Baseline ask comes from tools.exec.ask and host approvals; channel-origin calls ignore per-call ask when effective host ask is off."},"node":{"type":"string","description":"Node id/name for host=node."}}}},{"name":"gateway","description":"Gateway restart/config/update. Before config edits, use config.schema.lookup with targeted dot path. Prefer config.patch for partial merge; config.apply only full replace. For config.patch that intentionally removes array entries, pass replacePaths with the exact affected array path. Writes hot-reload or restart as needed. Always pass human `note` for post-restart delivery. If post-restart work must continue internally, pass one-shot `continuationMessage`; visible follow-up from that turn must use the message tool. Do not write restart sentinel files directly.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"delayMs":{"type":"integer","minimum":0},"reason":{"type":"string"},"continuationMessage":{"type":"string"},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"path":{"type":"string"},"raw":{"type":"string"},"baseHash":{"type":"string"},"replacePaths":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"maxItems":256},"sessionKey":{"type":"string"},"note":{"type":"string"},"restartDelayMs":{"type":"integer","minimum":0}}}},{"name":"get_goal","description":"Get the current goal for this thread, including status and token usage.","parameters":{"type":"object","properties":{}}},{"name":"image","description":"Analyze images with available vision model. Use image for one path/URL, images for max 20. Prompt says what to inspect.","parameters":{"type":"object","properties":{"prompt":{"type":"string"},"image":{"type":"string","description":"One image path/URL."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Image paths/URLs; maxImages default 20."},"model":{"type":"string"},"maxBytesMb":{"type":"number","exclusiveMinimum":0},"maxImages":{"type":"integer","minimum":1}}}},{"name":"image_generate","description":"Create/edit images. Session chats: background task; do not call image_generate again for same request; wait completion, then report through the current visible-reply contract with generated media attached using structured media fields. Transparent: outputFormat=\"png\" or \"webp\" + background=\"transparent\"; OpenAI also supports openai.background and routes default model to gpt-image-1.5. Use action=\"list\" for providers/models/readiness/auth, \"status\" for active task.","parameters":{"type":"object","properties":{"action":{"type":"string","description":"\"generate\" default, \"status\" active task, \"list\" providers/models."},"prompt":{"type":"string","description":"Image prompt."},"image":{"type":"string","description":"Reference image path/URL for edit."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference images for edit or style reference; max 14."},"model":{"type":"string","description":"Provider/model override, e.g. openai/gpt-image-2; transparent OpenAI: openai/gpt-image-1.5."},"filename":{"type":"string","description":"Output filename hint; basename preserved in managed media dir."},"size":{"type":"string","description":"Size hint: 1024x1024, 1536x1024, 1024x1536, 2048x2048, 3840x2160."},"aspectRatio":{"type":"string","description":"Aspect ratio: 1:1, 2:1, 20:9, 19.5:9, 2:3, 3:2, 2.35:1, 3:4, 4:3, 4:5, 5:4, 9:16, 9:19.5, 9:20, 16:9, 21:9, 1:2, 4:1, 1:4, 8:1, 1:8."},"resolution":{"type":"string","description":"Resolution: 1K, 2K, 4K; useful for Google."},"quality":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Quality: low, medium, high, auto."},"outputFormat":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Output format: png, jpeg, webp."},"background":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Background: transparent, opaque, auto. Transparent needs png/webp output."},"openai":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"fal":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"count":{"type":"integer","description":"Image count 1-4.","minimum":1,"maximum":4},"timeoutMs":{"type":"integer","description":"Provider timeout ms (300000 tends to be a safe amount).","minimum":1}}}},{"name":"memory_get","description":"Safe exact excerpt read from MEMORY.md or memory/*.md. Defaults to a bounded excerpt when lines are omitted, includes truncation/continuation info when more content exists, and `corpus=wiki` reads from registered compiled-wiki supplements.","parameters":{"type":"object","properties":{"path":{"type":"string"},"from":{"type":"integer","minimum":1},"lines":{"type":"integer","minimum":1},"corpus":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}},"required":["path"],"additionalProperties":false}},{"name":"memory_search","description":"Mandatory recall step: semantically search MEMORY.md + memory/*.md (and optional session transcripts) before answering questions about prior work, decisions, dates, people, preferences, or todos. Optional `corpus=wiki` or `corpus=all` also searches registered compiled-wiki supplements. `corpus=memory` restricts hits to indexed memory files (excludes session transcript chunks from ranking). `corpus=sessions` restricts hits to indexed session transcripts (same visibility rules as session history tools). If response has disabled=true, memory retrieval is unavailable and should be surfaced to the user.","parameters":{"type":"object","properties":{"query":{"type":"string"},"maxResults":{"type":"integer","minimum":1},"minScore":{"type":"number"},"corpus":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}},"required":["query"],"additionalProperties":false}},{"name":"message","description":"Send/delete/manage channel messages. Supports actions: send.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"channel":{"type":"string"},"target":{"type":"string","description":"Recipient/channel: E.164 for WhatsApp/Signal, Telegram chat id/@username, Discord/Slack/Mattermost <channelId|user:ID|channel:ID>, or iMessage handle/chat_id"},"targets":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"accountId":{"type":"string"},"dryRun":{"type":"boolean"},"message":{"type":"string"},"effectId":{"type":"string","description":"Effect id/name for sendWithEffect."},"effect":{"type":"string","description":"Alias for effectId."},"media":{"type":"string","description":"Media URL/path. data: use buffer."},"filename":{"type":"string"},"buffer":{"type":"string","description":"Base64 attachment payload; data URL ok."},"contentType":{"type":"string"},"mimeType":{"type":"string"},"caption":{"type":"string"},"attachments":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Structured attachments; each entry uses media."},"replyTo":{"type":"string"},"threadId":{"type":"string"},"asVoice":{"type":"boolean"},"silent":{"type":"boolean"},"quoteText":{"type":"string","description":"Telegram reply quote text."},"gifPlayback":{"type":"boolean"},"forceDocument":{"type":"boolean","description":"Send image/GIF/video as document; avoids compression."},"asDocument":{"type":"boolean","description":"Alias for forceDocument."},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1}}}},{"name":"node_inference","description":"Discover and run chat-capable Ollama models installed on paired desktop/server nodes. Use action=discover first, then action=run with a node and model from that result. Inference stays on the selected node.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"node":{"type":"string","description":"Connected node id or display name. Required when ambiguous."},"model":{"type":"string","description":"Exact local model name returned by discover."},"prompt":{"type":"string","description":"Prompt for action=run."},"system":{"type":"string","description":"Optional system prompt for action=run."},"temperature":{"type":"number","minimum":0,"maximum":2},"maxTokens":{"type":"integer","minimum":1,"maximum":8192},"timeoutMs":{"type":"integer","minimum":1,"maximum":600000}},"additionalProperties":false}},{"name":"nodes","description":"Discover/control paired nodes: status, describe, pairing, notify, camera/photos/screen/location/notifications/invoke. Use file_fetch for files.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"node":{"type":"string"},"requestId":{"type":"string"},"title":{"type":"string"},"body":{"type":"string"},"sound":{"type":"string"},"priority":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"delivery":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"facing":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"camera_snap: front/back/both; camera_clip: front/back only."},"maxWidth":{"type":"integer","minimum":1},"quality":{"type":"number","minimum":0,"maximum":1},"delayMs":{"type":"integer","minimum":0},"deviceId":{"type":"string"},"limit":{"type":"integer","minimum":1,"maximum":20},"duration":{"type":"string"},"durationMs":{"type":"integer","minimum":1,"maximum":300000},"includeAudio":{"type":"boolean"},"fps":{"type":"number","exclusiveMinimum":0},"screenIndex":{"type":"integer","minimum":0},"outPath":{"type":"string"},"maxAgeMs":{"type":"integer","minimum":0},"locationTimeoutMs":{"type":"integer","minimum":1},"desiredAccuracy":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"notificationAction":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"notificationKey":{"type":"string"},"notificationReplyText":{"type":"string"},"invokeCommand":{"type":"string"},"invokeParamsJson":{"type":"string"},"invokeTimeoutMs":{"type":"integer","minimum":1}}}},{"name":"pdf","description":"Analyze PDFs with model. Anthropic/Google native PDF when supported; else text/image extraction. Use pdf for one, pdfs for max 10; prompt says what to inspect.","parameters":{"type":"object","properties":{"prompt":{"type":"string"},"pdf":{"type":"string","description":"One PDF path/URL."},"pdfs":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"PDF paths/URLs; max 10."},"pages":{"type":"string","description":"Pages, e.g. \"1-5\", \"1,3,5-7\"; default all."},"model":{"type":"string"},"maxBytesMb":{"type":"number","exclusiveMinimum":0}}}},{"name":"process","description":"Manage running exec sessions for commands already started: list, poll, log, write, send-keys, submit, paste, kill. Use poll/log when you need status, logs, quiet-success confirmation, or completion confirmation when automatic completion wake is unavailable. Use poll/log also for input-wait hints. Use write/send-keys/submit/paste/kill for input or intervention. Do not use process polling to emulate timers or reminders; use cron for scheduled follow-ups.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","description":"Process action (list|poll|log|write|send-keys|submit|paste|kill|clear|remove)"},"sessionId":{"type":"string","description":"Session id for actions other than list"},"data":{"type":"string","description":"Data to write for write"},"keys":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Key tokens to send for send-keys"},"hex":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Hex bytes to send for send-keys"},"literal":{"type":"string","description":"Literal string for send-keys"},"text":{"type":"string","description":"Text to paste for paste"},"bracketed":{"type":"boolean","description":"Wrap paste in bracketed mode"},"eof":{"type":"boolean","description":"Close stdin after write"},"offset":{"type":"number","description":"Log offset"},"limit":{"type":"number","description":"Log length"},"timeout":{"type":"number","description":"For poll: wait up to this many milliseconds before returning; max 30000 ms, higher values are clamped to 30000","minimum":0}}}},{"name":"read","description":"Read the contents of a file. Supports text files and images (jpg, png, gif, webp, bmp). Images are sent as attachments. For text files, output is truncated to 2000 lines or 50KB (whichever is hit first). Use offset/limit for large files. When you need the full file, continue with offset until complete.","parameters":{"type":"object","required":["path"],"properties":{"path":{"type":"string","description":"Path to the file to read (relative or absolute)"},"offset":{"type":"number","description":"Line number to start reading from (1-indexed)"},"limit":{"type":"number","description":"Maximum number of lines to read"}}}},{"name":"session_status","description":"Show /status-like card for current/visible session: model, usage, time, cost, tasks. Use `sessionKey=\"current\"` for current session; UI labels like `openclaw-tui` are not keys. `model` sets session override; `model=default` resets. Use for active model/session config questions.","parameters":{"type":"object","properties":{"sessionKey":{"type":"string"},"model":{"type":"string"}}}},{"name":"sessions_history","description":"Fetch sanitized history for visible session. Use before replying, debugging, resuming; supports limit, offset pagination, and tool-message inclusion.","parameters":{"type":"object","required":["sessionKey"],"properties":{"sessionKey":{"type":"string"},"limit":{"type":"integer","minimum":1},"offset":{"type":"integer","minimum":0},"includeTools":{"type":"boolean"}}}},{"name":"sessions_list","description":"List visible sessions; filter by kind, label, agentId, search, activity, archive state. Use before sessions_history or sessions_send target selection.","parameters":{"type":"object","properties":{"kinds":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"limit":{"type":"integer","minimum":1},"activeMinutes":{"type":"integer","minimum":1},"messageLimit":{"type":"integer","minimum":0},"label":{"type":"string","minLength":1},"agentId":{"type":"string","minLength":1,"maxLength":64},"search":{"type":"string","minLength":1},"archived":{"type":"boolean"},"includeDerivedTitles":{"type":"boolean"},"includeLastMessage":{"type":"boolean"}}}},{"name":"sessions_send","description":"Send message to visible session by sessionKey/label, or configured agent by agentId; sessionKey wins when redundant label metadata is present. Thread-scoped chats rejected; target parent channel session. Creates missing configured-agent main session; waits for reply when available.","parameters":{"type":"object","required":["message"],"properties":{"sessionKey":{"type":"string"},"label":{"type":"string","minLength":1,"maxLength":512},"agentId":{"type":"string","minLength":1,"maxLength":64},"message":{"type":"string"},"timeoutSeconds":{"type":"integer","minimum":0}}}},{"name":"sessions_spawn","description":"Spawn clean child session; default `runtime=\"subagent\"`. `mode=\"run\"` one-shot background work. Subagents inherit parent workspace. Native subagents get task in first visible `[Subagent Task]` message. Native only: `context=\"fork\"` only when child needs current transcript; else omit or `isolated`. Use for fresh child-session work. Delegate sidecar/parallel tasks: batch file reads, multi-step searches, data collection. Avoid delegating quick lookups or single-file reads unless policy prefers delegation. After spawning, do non-overlapping work while run-mode results return.","parameters":{"type":"object","required":["task"],"properties":{"task":{"type":"string"},"taskName":{"type":"string","description":"Stable alias for later targeting; lowercase letters/digits/underscores/hyphens, starts letter."},"label":{"type":"string"},"runtime":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"agentId":{"type":"string"},"model":{"type":"string"},"thinking":{"type":"string"},"cwd":{"type":"string"},"mode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"cleanup":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"sandbox":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"context":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Native context. Omit/\"isolated\" for clean child; \"fork\" only when child needs requester transcript."},"lightContext":{"type":"boolean","description":"Light bootstrap context; runtime=\"subagent\" only."},"attachments":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"maxItems":50},"attachAs":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}}}},{"name":"sessions_yield","description":"End current turn. Use after spawning subagents; results arrive as next message.","parameters":{"type":"object","properties":{"message":{"type":"string"}}}},{"name":"skill_workshop","description":"Create, update, revise, list, inspect, apply, reject, or quarantine Skill Workshop proposals when reusable procedures should be captured, improved, or explicitly approved.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"create = new skill; update = existing live skill; revise = existing pending proposal; list/inspect discover pending proposals (not filesystem search); apply/reject/quarantine are explicit lifecycle actions."},"proposal_id":{"type":"string","description":"Existing proposal id for action=inspect, action=revise, action=apply, action=reject, or action=quarantine."},"name":{"type":"string","description":"Skill/proposal name. Required for create; for inspect/revise when proposal_id is unknown, resolves a pending proposal or returns candidates."},"query":{"type":"string","description":"Optional query for action=list."},"status":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Optional proposal status filter for action=list."},"limit":{"type":"integer","minimum":1,"maximum":50,"description":"Maximum proposals to return for action=list. Defaults to 20."},"description":{"type":"string","maxLength":160,"description":"Skill description for create/update/revise; max 160 bytes. On update, concise text shortens the proposal listing entry."},"skill_name":{"type":"string","description":"Existing skill name or key for action=update."},"proposal_content":{"type":"string","description":"Full proposed procedure markdown for action=create, action=update, or action=revise. It will be stored as PROPOSAL.md. Keep under configured skills.workshop.maxSkillBytes; default max is 40000 bytes."},"support_files":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Optional support files to store with the proposal."},"goal":{"type":"string","description":"Proposal or improvement goal."},"evidence":{"type":"string","description":"Short evidence or notes."},"reason":{"type":"string","description":"Optional reason for action=apply, action=reject, or action=quarantine."}},"additionalProperties":false}},{"name":"subagents","description":"List active and recent subagents for the requester session. If sessions_yield exists, use it for completion; do not poll wait loops.","parameters":{"type":"object","properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"recentMinutes":{"type":"integer","minimum":1}}}},{"name":"tts","description":"Use only for explicit audio intent (voice/speech/TTS) or active TTS config. Never use for ordinary text replies. Audio auto-delivered from tool result; after success follow reply instructions, no duplicate text/audio.","parameters":{"type":"object","required":["text"],"properties":{"text":{"type":"string","description":"Text to speak."},"channel":{"type":"string","description":"Channel id; output-format hint."},"timeoutMs":{"type":"integer","description":"Provider timeout ms.","minimum":1}}}},{"name":"update_goal","description":"Mark the current goal complete only when achieved, or blocked only after the same blocking condition recurs for at least three consecutive goal turns. Do not use blocked for ordinary difficulty or missing polish.","parameters":{"type":"object","required":["status"],"properties":{"status":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"complete | blocked."},"note":{"type":"string","description":"Short status note."}}}},{"name":"update_plan","description":"Update current run plan. Use for non-trivial multi-step work; keep plan current while executing. Short steps; max one `in_progress`; skip for simple one-step work.","parameters":{"type":"object","required":["plan"],"properties":{"explanation":{"type":"string","description":"Short note: what changed."},"plan":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"minItems":1,"description":"Ordered steps; max one in_progress."}}}},{"name":"video_generate","description":"Create videos. Session chats: background task; do not call video_generate again for same request; wait completion, then report through the current visible-reply contract with generated media attached using structured media fields. \"status\" checks active task. Duration may round to provider-supported value.","parameters":{"type":"object","properties":{"action":{"type":"string","description":"\"generate\" default, \"status\" active task, \"list\" providers/models."},"prompt":{"type":"string","description":"Video prompt."},"image":{"type":"string","description":"One reference image path/URL."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference images; max 9."},"imageRoles":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"`image` + `images` roles by index after de-dupe. Values: first_frame, last_frame, reference_image; empty string leaves unset."},"video":{"type":"string","description":"One reference video path/URL."},"videos":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference videos; max 4."},"videoRoles":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"`video` + `videos` roles by index after de-dupe. Value: reference_video; empty string leaves unset."},"model":{"type":"string","description":"Provider/model override, e.g. qwen/wan2.6-t2v."},"filename":{"type":"string","description":"Output filename hint; basename preserved in managed media dir."},"size":{"type":"string","description":"Size hint, e.g. 1280x720, 1920x1080."},"aspectRatio":{"type":"string","description":"Aspect ratio: 1:1, 16:9, 9:16, \"adaptive\", or provider value; unsupported normalized/ignored."},"resolution":{"type":"string","description":"Resolution: 360P, 480P, 540P, 720P, 768P, 1080P, 4K, or provider value; unsupported normalized/ignored."},"durationSeconds":{"type":"integer","description":"Target seconds; may round to nearest supported duration.","minimum":1},"audio":{"type":"boolean","description":"Generated-audio toggle."},"watermark":{"type":"boolean","description":"Watermark toggle."},"providerOptions":{"type":"object","patternProperties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Provider JSON options, e.g. {\"seed\":42}. Keys/types must match provider capabilities; mismatch skips candidate. Use action=list for accepted keys."},"timeoutMs":{"type":"integer","description":"Provider timeout ms.","minimum":1}}}},{"name":"write","description":"Write content to a file. Creates the file if it doesn't exist, overwrites if it does. Automatically creates parent directories.","parameters":{"type":"object","required":["path","content"],"properties":{"path":{"type":"string","description":"Path to the file to write (relative or absolute)"},"content":{"type":"string","description":"Content to write to the file"}}}}],"imagesCount":0,"streamStrategy":"boundary-aware:openai-completions","transport":"auto","transcriptLeafId":"d1e90d32"}}
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{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","source":"runtime","type":"prompt.submitted","ts":"2026-07-15T10:07:10.950Z","seq":4,"sourceSeq":95,"sessionId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","sessionKey":"agent:main:dashboard:2fdf88e4-fa3f-46c2-b547-384e2c048b11","runId":"18cd925e-1adf-452f-a337-09bcf00c489c","workspaceDir":"/home/yangxuan/.openclaw/workspace","provider":"deepseek","modelId":"deepseek-v4-flash","modelApi":"openai-completions","data":{"prompt":"UPDATE dmp_smes.dmp_me_work_operate_record_detail SET stock_in_date ='2026-02-07',report_date ='2026-02-06 14:06:18',create_time ='2026-02-06 14:06:18',update_time='2026-02-06 14:06:18' WHERE batch_no='MSN00000919' AND ecid ='hsjm';\n\n把时间等于报工日期。\n-- 生产报工记录\n-- 批量更新 dmp_smes.dmp_me_work_operate_record_detail 的 create_time update_time中的日期部分为 对应的report_date","systemPrompt":{"truncated":true,"reason":"trajectory-field-size-limit","originalChars":39560,"limitChars":32768},"messages":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate \n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","timestamp":1784109538113,"idempotencyKey":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"},{"role":"user","content":"保留原时分秒，只改日期部分\nUPDATE dmp_spom.dmp_mrp_main_plan_task SET plan_start_time='2026-07-07 11:03:04',create_time='2026-07-07 10:58:04',update_time='2026-07-07 11:03:04' WHERE ecid='kanda' AND plan_no='PLAN2026071414255193535522';\n-- 物料计划主表\n-- 批量更新 dmp_spom.dmp_mrp_main_plan_task 的 create_time update_time中的日期部分为 对应的plan_start_time","timestamp":1784109596434,"idempotencyKey":"7c28a842-8a9f-4cc4-9094-1298d4ce1a5c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**物料计划主表 `dmp_mrp_main_plan_task`**，要把 `create_time` 和 `update_time` 的日期部分改为对应的 `plan_start_time`，保留原时分秒。\n\n## 更新脚本\n\n```sql\nUPDATE dmp_spom.dmp_mrp_main_plan_task\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'kanda';\n```\n\n范围条件？我看你前面说的是\"计划开始时间是7月份的数据\"，但 `plan_start_time` 看样例已经是 7 月份。你对范围有要求吗？比如：\n\n```sql\n-- 如果只要 plan_start_time 在7月份的数据\nAND plan_start_time >= '2026-07-01' AND plan_start_time < '2026-08-01'\n\n-- 或者只要 plan_start_time 日期和 create_time 日期不一致的（避免无意义更新）\nAND DATE(plan_start_time) != DATE(create_time)\n```\n\n需要加范围条件吗？还是直接全量更新 `ecid = 'kanda'` 的所有记录？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":1021,"output":340,"cacheRead":26880,"cacheWrite":0,"totalTokens":28241,"cost":{"input":0.001021,"output":0.0006799999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0017009999999999998}},"stopReason":"stop","timestamp":1784109597165,"responseId":"3546056a-f6d1-4805-b0d2-e4d5739d2293"},{"role":"user","content":"采购订单\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37' where ecid = 'hsjm' and order_no ='PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 16:10:47', update_time ='2026-01-12 16:10:47' where ecid = 'hsjm' and order_no ='PO2026000002';\n把 时间等于下单时间。\n-- 采购订单\n-- 批量更新 dmp_serp.dmp_mc_purchase_order 的 create_time update_time中的日期部分为 对应的order_date\n\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\n把 时间等于下单时间。\n\n-- 采购明细表\n-- 批量更新 dmp_serp.dmp_mc_purchase_order_detail 的 create_time update_time中的日期部分为 对应的order_date","timestamp":1784109736511,"idempotencyKey":"dea79fe3-9e82-4fcc-932b-78fe7ffb7ea2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，两个表一起处理，都是**采购订单**相关，用 `order_date` 作为日期源。\n\n## 采购订单主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购订单明细表\n\n明细表需要通过 `order_no` 和 `ecid` 关联主表获取 `order_date`：\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order_detail pd\nJOIN dmp_serp.dmp_mc_purchase_order po \n ON pd.ecid = po.ecid AND pd.order_no = po.order_no\nSET \n pd.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pd.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE pd.ecid = 'hsjm';\n```\n\n同样你提到的 **plan_arrival_date**——明细表里也有这个字段，看你样例里也在改它。但你的需求描述里只提了 `create_time` 和 `update_time`，`plan_arrival_date` 是否需要基于主表的 `plan_arrival_date` 同步更新？如果需要，可以加上：\n\n```sql\n-- 在明细表的 SET 中加上 plan_arrival_date 同步\n pd.plan_arrival_date = po.plan_arrival_date,\n```\n\n---\n\n汇总一下你到目前为止的更新清单：\n\n| 序号 | 表 | 日期源字段 |\n|------|-----|-----------|\n| 1 | `dmp_serp.dmp_om_order` | `om_orderdate` |\n| 2 | `dmp_serp.dmp_om_productinfo` | 关联主表 `om_orderdate` |\n| 3 | `dmp_spom.dmp_mrp_main_plan_task` | `plan_start_time` |\n| 4 | `dmp_serp.dmp_mc_purchase_order` | `order_date` |\n| 5 | `dmp_serp.dmp_mc_purchase_order_detail` | 关联主表 `order_date` |\n\n还有其他表要处理吗？一次性都帮你搞定 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":537,"output":666,"cacheRead":28160,"cacheWrite":0,"totalTokens":29363,"cost":{"input":0.0005369999999999999,"output":0.0013319999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0018689999999999998}},"stopReason":"stop","timestamp":1784109737239,"responseId":"4b7762d3-e202-4784-90ea-1934b8437ee9"},{"role":"user","content":"采购到货\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 14:59:11', update_time = '2026-01-22 14:59:11' where ecid = 'hsjm' and arrival_no = 'PAD2026000001';\n\n\n把 时间等于送货时间。\n-- 采购到货主表\n\n\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\n\n把 时间等于送货时间。\n-- 采购到货明细","timestamp":1784109773108,"idempotencyKey":"c1f0893e-59e7-4e66-8ebf-c96466a88991:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `ship_date`（送货时间/发货时间）。\n\n## 采购到货主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购到货明细表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival_detail ad\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON ad.ecid = a.ecid AND ad.arrival_no = a.arrival_no\nSET \n ad.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n ad.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ad.ecid = 'hsjm';\n```\n\n不过我看你的例子里，`ship_date` 和 `arrival_date` 都是 `'2026-01-22'`（同一天）。你说\"时间等于**送货时间**\"，那就是用 `ship_date` 作为日期源，没错吧？还是说你想用 `arrival_date`（到货时间）？\n\n---\n\n## 📋 完整更新清单（截至目前）\n\n| 序号 | 表 | 数据库 | 日期源字段 | 关联方式 |\n|------|-----|--------|-----------|---------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 直接更新 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate` | JOIN 主表 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 直接更新 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 直接更新 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date` | JOIN 主表 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 直接更新 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date` | JOIN 主表 |\n\n还继续有吗？一次性整完 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":427,"output":719,"cacheRead":29312,"cacheWrite":0,"totalTokens":30458,"cost":{"input":0.00042699999999999997,"output":0.001438,"cacheRead":0,"cacheWrite":0,"total":0.001865}},"stopReason":"stop","timestamp":1784109773806,"responseId":"8409c206-8436-4c31-93df-a6c9c78ea7a5"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验","timestamp":1784109808938,"idempotencyKey":"4b7a78ce-766c-439b-8784-ec9eef3f92ac:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**来料检验表**，需要关联**采购到货单**获取 `ship_date`。\n\n关联关系：`qc_task_inspect` 通过某个字段关联到采购到货单？我先看看常见关联方式——通常来料检验单会记录 `arrival_no`（到货单号）和 `ecid`。\n\n如果 `qc_task_inspect` 里有 `arrival_no` 字段，关联到 `dmp_mc_purchase_arrival`：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect qi\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON qi.ecid = a.ecid AND qi.arrival_no = a.arrival_no\nSET \n qi.insp_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.insp_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE qi.ecid = 'hsjm';\n```\n\n不过我需要确认一下——`qc_task_inspect` 里**关联采购到货单的字段名是什么**？常见的有：\n- `arrival_no` — 到货单号\n- `src_bill_no` — 来源单据号\n\n你能看看表结构确认一下关联字段吗？或者直接告诉我 `qc_task_inspect` 里哪个字段存的是到货单号就行。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":317,"output":444,"cacheRead":30336,"cacheWrite":0,"totalTokens":31097,"cost":{"input":0.000317,"output":0.000888,"cacheRead":0,"cacheWrite":0,"total":0.001205}},"stopReason":"stop","timestamp":1784109809545,"responseId":"a97cc980-d1b1-4640-9631-1a5bc07b2155"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验 只有主表","timestamp":1784109834801,"idempotencyKey":"1b1a78a5-b104-491c-8c1a-3388b55520a1:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"只有主表，没有关联明细。那 `qc_task_inspect` 直接用某个字段关联到采购到货单获取 `ship_date`。我需要先看看这个表里有什么关联字段。\n\n让我查一下表结构："},{"type":"toolCall","id":"call00zNFXflO9uvHF88gvemNV1946","name":"exec","arguments":{"command":"mysql -u root -p'YourPassword' -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null || echo \"NEED_PASSWORD\""},"partialArgs":"{\"command\": \"mysql -u root -p'YourPassword' -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null || echo \\\"NEED_PASSWORD\\\"\"}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":320,"output":127,"cacheRead":30976,"cacheWrite":0,"totalTokens":31423,"cost":{"input":0.00031999999999999997,"output":0.000254,"cacheRead":0,"cacheWrite":0,"total":0.000574}},"stopReason":"toolUse","timestamp":1784109835616,"responseId":"6d7b9ef4-7af8-4b71-a201-06dba58c46a8"},{"role":"toolResult","toolCallId":"call00zNFXflO9uvHF88gvemNV1946","toolName":"exec","content":[{"type":"text","text":"NEED_PASSWORD"}],"isError":false,"timestamp":1784109838817},{"role":"assistant","content":[{"type":"toolCall","id":"call00PIuYMg0px60fCGWCIhay2037","name":"exec","arguments":{"command":"mysql -u root -p -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null | head -50","timeout":10},"partialArgs":"{\"command\": \"mysql -u root -p -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null | head -50\", \"timeout\": 10}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":79,"output":90,"cacheRead":31360,"cacheWrite":0,"totalTokens":31529,"cost":{"input":0.000079,"output":0.00017999999999999998,"cacheRead":0,"cacheWrite":0,"total":0.000259}},"stopReason":"toolUse","timestamp":1784109838831,"responseId":"1ac67ea0-15ab-4d4d-8d1a-bec64bd8a1be"},{"role":"toolResult","toolCallId":"call00PIuYMg0px60fCGWCIhay2037","toolName":"exec","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1784109840424},{"role":"assistant","content":[{"type":"text","text":"没有直连数据库的权限，没关系。你看看 `qc_task_inspect` 表里有什么字段可以用来关联到采购到货单？比如：\n\n- `arrival_no`（到货单号）\n- `src_bill_no` / `source_no`（来源单号）\n- `order_no`（采购订单号）\n- 或者其它什么字段？\n\n你告诉我关联字段名，我就能直接写出完整的 SQL 了。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":55,"output":92,"cacheRead":31488,"cacheWrite":0,"totalTokens":31635,"cost":{"input":0.000054999999999999995,"output":0.000184,"cacheRead":0,"cacheWrite":0,"total":0.000239}},"stopReason":"stop","timestamp":1784109840437,"responseId":"e2a7cf1e-c246-4d51-b8a5-498bd181dfce"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验\n-- 批量更新 dmp_smes.qc_task_inspect 的 create_time update_time中的日期部分为 对应insp_time","timestamp":1784109869504,"idempotencyKey":"31a50ea4-daa6-44a6-b525-6e085ebd2335:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"啊，看明白了！你的意思是 **直接用 `insp_time` 作为日期源**，不需要关联到货单：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单汇总\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|--------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 否 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（关联主表） | 是 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 否 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 否 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（关联主表） | 是 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 否 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（关联主表） | 是 |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | 否 |\n\n还有要处理的表吗？一起搞定 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":242,"output":471,"cacheRead":31616,"cacheWrite":0,"totalTokens":32329,"cost":{"input":0.000242,"output":0.0009419999999999999,"cacheRead":0,"cacheWrite":0,"total":0.001184}},"stopReason":"stop","timestamp":1784109870180,"responseId":"0bddd8b3-54ef-4280-b497-c5f6e7c4c117"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in set bill_date='2026-01-23',completed_at='2026-01-24 10:33:27', create_time='2026-01-23 09:56:17',update_time='2026-01-24 10:33:27' where stock_in_no='PE2026000002' and ecid ='hsjm';\n把时间等于最后入库时间。\n-- 采购入库主表\n-- 批量更新 dmp_serp.dmp_im_stock_in 的 create_time update_time中的日期部分为 对应的completed_at","timestamp":1784109898245,"idempotencyKey":"19ea56c9-af6f-4a6e-8331-4c25e67fc817:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `completed_at`（最后入库时间）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（9个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|:----:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n\n还继续有吗？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":229,"output":499,"cacheRead":32256,"cacheWrite":0,"totalTokens":32984,"cost":{"input":0.00022899999999999998,"output":0.000998,"cacheRead":0,"cacheWrite":0,"total":0.001227}},"stopReason":"stop","timestamp":1784109898887,"responseId":"4df6ab45-0f41-4730-9b14-34965a8d2fc5"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in_out_flow_detail set stock_date='2026-01-24',bill_date='2026-01-23',update_time='2026-01-24 09:12:43',create_time='2026-01-23 09:46:37' where flow_no='SIO20260410000001' and ecid ='hsjm';\n\n把时间等于最后入库时间。\n-- 采购出入库记录\n-- 批量更新 dmp_serp.dmp_im_stock_in_out_flow_detail 的 create_time update_time中的日期部分为 对应的stock_date","timestamp":1784109928282,"idempotencyKey":"fc11b4ae-ecb7-44e7-b501-01b59e37bf0c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `stock_date`：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in_out_flow_detail\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（10个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n\n还有吗？一次全整完，然后我给你生成一个**完整的 SQL 脚本文件**，方便你一次性执行 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":247,"output":551,"cacheRead":32896,"cacheWrite":0,"totalTokens":33694,"cost":{"input":0.000247,"output":0.001102,"cacheRead":0,"cacheWrite":0,"total":0.001349}},"stopReason":"stop","timestamp":1784109928948,"responseId":"530e1437-c5c6-4d13-9bd9-ceb4ee9ee99d"},{"role":"user","content":"update dmp_serp.dmp_im_stock_out set bill_date='2026-01-10',delivery_at='2026-01-25 10:26:19', create_time='2026-01-10 11:03:04', update_time='2026-01-25 10:26:19' where stock_out_no='PD2026000127' and ecid='hsjm';\n把时间等于单据日期。\n-- 生产领料单\n-- 批量更新 dmp_serp.dmp_im_stock_out 的 create_time update_time中的日期部分为 对应的bill_date","timestamp":1784109964929,"idempotencyKey":"cce96fb1-3bfc-4883-adaf-9111e6c44dd2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `bill_date`（单据日期）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_out\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（11个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n\n继续还是可以帮你生成完整脚本了？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":185,"output":566,"cacheRead":33664,"cacheWrite":0,"totalTokens":34415,"cost":{"input":0.000185,"output":0.001132,"cacheRead":0,"cacheWrite":0,"total":0.001317}},"stopReason":"stop","timestamp":1784109965649,"responseId":"46255802-137d-4009-afcd-6da8548f271b"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in_out_flow_detail set stock_date='2026-04-05',bill_date='2026-03-21',update_time='2026-04-05 14:07:09',create_time='2026-03-21 12:11:27' where flow_no='SIO20260410000236' and ecid ='hsjm';\n把时间等于单据日期。\n-- -领料出库记录\n-- 批量更新 dmp_serp.dmp_im_stock_in_out_flow_detail 的 create_time update_time中的日期部分为 对应的stock_date","timestamp":1784109993896,"idempotencyKey":"90f480c3-711d-4afa-8813-526c1cba7146:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"这个表之前已经处理过了（序号10），但之前的日期源是 `stock_date`（你说\"时间等于最后入库时间\"），现在这个你说\"时间等于单据日期\"。\n\n那我看看——同一个表 `dmp_im_stock_in_out_flow_detail`，之前是入库记录用 `stock_date`，现在是出库记录也用 `stock_date`，其实是一样的对吧？\n\n那我保持之前的脚本不变（用 `stock_date` 作为日期源），它已经覆盖了这个表的所有 `ecid = 'hsjm'` 记录：\n\n```sql\n-- 已在序号10中覆盖，无需重复\n```\n\n不过如果你想**区分入库和出库**来用不同的日期源，那就需要告诉我用什么字段来区分（比如单据类型字段）。\n\n还是说这个表统一用 `stock_date` 就行了？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":270,"output":172,"cacheRead":34304,"cacheWrite":0,"totalTokens":34746,"cost":{"input":0.00027,"output":0.00034399999999999996,"cacheRead":0,"cacheWrite":0,"total":0.000614}},"stopReason":"stop","timestamp":1784109994584,"responseId":"0e44ed7f-eb7e-4ba0-a1c8-3045b209ec87"}],"imagesCount":0}}
|
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{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","source":"runtime","type":"model.completed","ts":"2026-07-15T10:07:14.833Z","seq":5,"sourceSeq":96,"sessionId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","sessionKey":"agent:main:dashboard:2fdf88e4-fa3f-46c2-b547-384e2c048b11","runId":"18cd925e-1adf-452f-a337-09bcf00c489c","workspaceDir":"/home/yangxuan/.openclaw/workspace","provider":"deepseek","modelId":"deepseek-v4-flash","modelApi":"openai-completions","data":{"aborted":false,"externalAbort":false,"timedOut":false,"idleTimedOut":false,"timedOutDuringCompaction":false,"timedOutDuringToolExecution":false,"timedOutByRunBudget":false,"promptErrorSource":null,"usage":{"input":223,"output":613,"cacheRead":34688,"total":35524},"promptCache":{"lastCallUsage":{"input":223,"output":613,"cacheRead":34688,"cacheWrite":0,"total":35524},"lastCacheTouchAt":1784110031005},"compactionCount":0,"assistantTexts":["明白，日期源是 `report_date`（报工日期）：\n\n```sql\nUPDATE dmp_smes.dmp_me_work_operate_record_detail\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(report_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(report_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（12个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n| 12 | `dmp_me_work_operate_record_detail` | `dmp_smes` | `report_date` | ❌ |\n\n还有吗？差不多了吧，要不要我帮你生成一个**完整的 SQL 脚本文件**？😄"],"finalPromptText":"UPDATE dmp_smes.dmp_me_work_operate_record_detail SET stock_in_date ='2026-02-07',report_date ='2026-02-06 14:06:18',create_time ='2026-02-06 14:06:18',update_time='2026-02-06 14:06:18' WHERE batch_no='MSN00000919' AND ecid ='hsjm';\n\n把时间等于报工日期。\n-- 生产报工记录\n-- 批量更新 dmp_smes.dmp_me_work_operate_record_detail 的 create_time update_time中的日期部分为 对应的report_date","messagesSnapshot":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate \n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","timestamp":1784109538113,"idempotencyKey":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"},{"role":"user","content":"保留原时分秒，只改日期部分\nUPDATE dmp_spom.dmp_mrp_main_plan_task SET plan_start_time='2026-07-07 11:03:04',create_time='2026-07-07 10:58:04',update_time='2026-07-07 11:03:04' WHERE ecid='kanda' AND plan_no='PLAN2026071414255193535522';\n-- 物料计划主表\n-- 批量更新 dmp_spom.dmp_mrp_main_plan_task 的 create_time update_time中的日期部分为 对应的plan_start_time","timestamp":1784109596434,"idempotencyKey":"7c28a842-8a9f-4cc4-9094-1298d4ce1a5c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**物料计划主表 `dmp_mrp_main_plan_task`**，要把 `create_time` 和 `update_time` 的日期部分改为对应的 `plan_start_time`，保留原时分秒。\n\n## 更新脚本\n\n```sql\nUPDATE dmp_spom.dmp_mrp_main_plan_task\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'kanda';\n```\n\n范围条件？我看你前面说的是\"计划开始时间是7月份的数据\"，但 `plan_start_time` 看样例已经是 7 月份。你对范围有要求吗？比如：\n\n```sql\n-- 如果只要 plan_start_time 在7月份的数据\nAND plan_start_time >= '2026-07-01' AND plan_start_time < '2026-08-01'\n\n-- 或者只要 plan_start_time 日期和 create_time 日期不一致的（避免无意义更新）\nAND DATE(plan_start_time) != DATE(create_time)\n```\n\n需要加范围条件吗？还是直接全量更新 `ecid = 'kanda'` 的所有记录？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":1021,"output":340,"cacheRead":26880,"cacheWrite":0,"totalTokens":28241,"cost":{"input":0.001021,"output":0.0006799999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0017009999999999998}},"stopReason":"stop","timestamp":1784109597165,"responseId":"3546056a-f6d1-4805-b0d2-e4d5739d2293"},{"role":"user","content":"采购订单\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37' where ecid = 'hsjm' and order_no ='PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 16:10:47', update_time ='2026-01-12 16:10:47' where ecid = 'hsjm' and order_no ='PO2026000002';\n把 时间等于下单时间。\n-- 采购订单\n-- 批量更新 dmp_serp.dmp_mc_purchase_order 的 create_time update_time中的日期部分为 对应的order_date\n\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\n把 时间等于下单时间。\n\n-- 采购明细表\n-- 批量更新 dmp_serp.dmp_mc_purchase_order_detail 的 create_time update_time中的日期部分为 对应的order_date","timestamp":1784109736511,"idempotencyKey":"dea79fe3-9e82-4fcc-932b-78fe7ffb7ea2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，两个表一起处理，都是**采购订单**相关，用 `order_date` 作为日期源。\n\n## 采购订单主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购订单明细表\n\n明细表需要通过 `order_no` 和 `ecid` 关联主表获取 `order_date`：\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order_detail pd\nJOIN dmp_serp.dmp_mc_purchase_order po \n ON pd.ecid = po.ecid AND pd.order_no = po.order_no\nSET \n pd.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pd.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE pd.ecid = 'hsjm';\n```\n\n同样你提到的 **plan_arrival_date**——明细表里也有这个字段，看你样例里也在改它。但你的需求描述里只提了 `create_time` 和 `update_time`，`plan_arrival_date` 是否需要基于主表的 `plan_arrival_date` 同步更新？如果需要，可以加上：\n\n```sql\n-- 在明细表的 SET 中加上 plan_arrival_date 同步\n pd.plan_arrival_date = po.plan_arrival_date,\n```\n\n---\n\n汇总一下你到目前为止的更新清单：\n\n| 序号 | 表 | 日期源字段 |\n|------|-----|-----------|\n| 1 | `dmp_serp.dmp_om_order` | `om_orderdate` |\n| 2 | `dmp_serp.dmp_om_productinfo` | 关联主表 `om_orderdate` |\n| 3 | `dmp_spom.dmp_mrp_main_plan_task` | `plan_start_time` |\n| 4 | `dmp_serp.dmp_mc_purchase_order` | `order_date` |\n| 5 | `dmp_serp.dmp_mc_purchase_order_detail` | 关联主表 `order_date` |\n\n还有其他表要处理吗？一次性都帮你搞定 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":537,"output":666,"cacheRead":28160,"cacheWrite":0,"totalTokens":29363,"cost":{"input":0.0005369999999999999,"output":0.0013319999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0018689999999999998}},"stopReason":"stop","timestamp":1784109737239,"responseId":"4b7762d3-e202-4784-90ea-1934b8437ee9"},{"role":"user","content":"采购到货\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 14:59:11', update_time = '2026-01-22 14:59:11' where ecid = 'hsjm' and arrival_no = 'PAD2026000001';\n\n\n把 时间等于送货时间。\n-- 采购到货主表\n\n\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\n\n把 时间等于送货时间。\n-- 采购到货明细","timestamp":1784109773108,"idempotencyKey":"c1f0893e-59e7-4e66-8ebf-c96466a88991:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `ship_date`（送货时间/发货时间）。\n\n## 采购到货主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购到货明细表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival_detail ad\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON ad.ecid = a.ecid AND ad.arrival_no = a.arrival_no\nSET \n ad.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n ad.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ad.ecid = 'hsjm';\n```\n\n不过我看你的例子里，`ship_date` 和 `arrival_date` 都是 `'2026-01-22'`（同一天）。你说\"时间等于**送货时间**\"，那就是用 `ship_date` 作为日期源，没错吧？还是说你想用 `arrival_date`（到货时间）？\n\n---\n\n## 📋 完整更新清单（截至目前）\n\n| 序号 | 表 | 数据库 | 日期源字段 | 关联方式 |\n|------|-----|--------|-----------|---------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 直接更新 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate` | JOIN 主表 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 直接更新 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 直接更新 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date` | JOIN 主表 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 直接更新 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date` | JOIN 主表 |\n\n还继续有吗？一次性整完 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":427,"output":719,"cacheRead":29312,"cacheWrite":0,"totalTokens":30458,"cost":{"input":0.00042699999999999997,"output":0.001438,"cacheRead":0,"cacheWrite":0,"total":0.001865}},"stopReason":"stop","timestamp":1784109773806,"responseId":"8409c206-8436-4c31-93df-a6c9c78ea7a5"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验","timestamp":1784109808938,"idempotencyKey":"4b7a78ce-766c-439b-8784-ec9eef3f92ac:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**来料检验表**，需要关联**采购到货单**获取 `ship_date`。\n\n关联关系：`qc_task_inspect` 通过某个字段关联到采购到货单？我先看看常见关联方式——通常来料检验单会记录 `arrival_no`（到货单号）和 `ecid`。\n\n如果 `qc_task_inspect` 里有 `arrival_no` 字段，关联到 `dmp_mc_purchase_arrival`：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect qi\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON qi.ecid = a.ecid AND qi.arrival_no = a.arrival_no\nSET \n qi.insp_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.insp_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE qi.ecid = 'hsjm';\n```\n\n不过我需要确认一下——`qc_task_inspect` 里**关联采购到货单的字段名是什么**？常见的有：\n- `arrival_no` — 到货单号\n- `src_bill_no` — 来源单据号\n\n你能看看表结构确认一下关联字段吗？或者直接告诉我 `qc_task_inspect` 里哪个字段存的是到货单号就行。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":317,"output":444,"cacheRead":30336,"cacheWrite":0,"totalTokens":31097,"cost":{"input":0.000317,"output":0.000888,"cacheRead":0,"cacheWrite":0,"total":0.001205}},"stopReason":"stop","timestamp":1784109809545,"responseId":"a97cc980-d1b1-4640-9631-1a5bc07b2155"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验 只有主表","timestamp":1784109834801,"idempotencyKey":"1b1a78a5-b104-491c-8c1a-3388b55520a1:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"只有主表，没有关联明细。那 `qc_task_inspect` 直接用某个字段关联到采购到货单获取 `ship_date`。我需要先看看这个表里有什么关联字段。\n\n让我查一下表结构："},{"type":"toolCall","id":"call00zNFXflO9uvHF88gvemNV1946","name":"exec","arguments":{"command":"mysql -u root -p'YourPassword' -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null || echo \"NEED_PASSWORD\""},"partialArgs":"{\"command\": \"mysql -u root -p'YourPassword' -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null || echo \\\"NEED_PASSWORD\\\"\"}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":320,"output":127,"cacheRead":30976,"cacheWrite":0,"totalTokens":31423,"cost":{"input":0.00031999999999999997,"output":0.000254,"cacheRead":0,"cacheWrite":0,"total":0.000574}},"stopReason":"toolUse","timestamp":1784109835616,"responseId":"6d7b9ef4-7af8-4b71-a201-06dba58c46a8"},{"role":"toolResult","toolCallId":"call00zNFXflO9uvHF88gvemNV1946","toolName":"exec","content":[{"type":"text","text":"NEED_PASSWORD"}],"isError":false,"timestamp":1784109838817},{"role":"assistant","content":[{"type":"toolCall","id":"call00PIuYMg0px60fCGWCIhay2037","name":"exec","arguments":{"command":"mysql -u root -p -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null | head -50","timeout":10},"partialArgs":"{\"command\": \"mysql -u root -p -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null | head -50\", \"timeout\": 10}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":79,"output":90,"cacheRead":31360,"cacheWrite":0,"totalTokens":31529,"cost":{"input":0.000079,"output":0.00017999999999999998,"cacheRead":0,"cacheWrite":0,"total":0.000259}},"stopReason":"toolUse","timestamp":1784109838831,"responseId":"1ac67ea0-15ab-4d4d-8d1a-bec64bd8a1be"},{"role":"toolResult","toolCallId":"call00PIuYMg0px60fCGWCIhay2037","toolName":"exec","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1784109840424},{"role":"assistant","content":[{"type":"text","text":"没有直连数据库的权限，没关系。你看看 `qc_task_inspect` 表里有什么字段可以用来关联到采购到货单？比如：\n\n- `arrival_no`（到货单号）\n- `src_bill_no` / `source_no`（来源单号）\n- `order_no`（采购订单号）\n- 或者其它什么字段？\n\n你告诉我关联字段名，我就能直接写出完整的 SQL 了。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":55,"output":92,"cacheRead":31488,"cacheWrite":0,"totalTokens":31635,"cost":{"input":0.000054999999999999995,"output":0.000184,"cacheRead":0,"cacheWrite":0,"total":0.000239}},"stopReason":"stop","timestamp":1784109840437,"responseId":"e2a7cf1e-c246-4d51-b8a5-498bd181dfce"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验\n-- 批量更新 dmp_smes.qc_task_inspect 的 create_time update_time中的日期部分为 对应insp_time","timestamp":1784109869504,"idempotencyKey":"31a50ea4-daa6-44a6-b525-6e085ebd2335:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"啊，看明白了！你的意思是 **直接用 `insp_time` 作为日期源**，不需要关联到货单：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单汇总\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|--------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 否 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（关联主表） | 是 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 否 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 否 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（关联主表） | 是 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 否 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（关联主表） | 是 |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | 否 |\n\n还有要处理的表吗？一起搞定 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":242,"output":471,"cacheRead":31616,"cacheWrite":0,"totalTokens":32329,"cost":{"input":0.000242,"output":0.0009419999999999999,"cacheRead":0,"cacheWrite":0,"total":0.001184}},"stopReason":"stop","timestamp":1784109870180,"responseId":"0bddd8b3-54ef-4280-b497-c5f6e7c4c117"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in set bill_date='2026-01-23',completed_at='2026-01-24 10:33:27', create_time='2026-01-23 09:56:17',update_time='2026-01-24 10:33:27' where stock_in_no='PE2026000002' and ecid ='hsjm';\n把时间等于最后入库时间。\n-- 采购入库主表\n-- 批量更新 dmp_serp.dmp_im_stock_in 的 create_time update_time中的日期部分为 对应的completed_at","timestamp":1784109898245,"idempotencyKey":"19ea56c9-af6f-4a6e-8331-4c25e67fc817:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `completed_at`（最后入库时间）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（9个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|:----:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n\n还继续有吗？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":229,"output":499,"cacheRead":32256,"cacheWrite":0,"totalTokens":32984,"cost":{"input":0.00022899999999999998,"output":0.000998,"cacheRead":0,"cacheWrite":0,"total":0.001227}},"stopReason":"stop","timestamp":1784109898887,"responseId":"4df6ab45-0f41-4730-9b14-34965a8d2fc5"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in_out_flow_detail set stock_date='2026-01-24',bill_date='2026-01-23',update_time='2026-01-24 09:12:43',create_time='2026-01-23 09:46:37' where flow_no='SIO20260410000001' and ecid ='hsjm';\n\n把时间等于最后入库时间。\n-- 采购出入库记录\n-- 批量更新 dmp_serp.dmp_im_stock_in_out_flow_detail 的 create_time update_time中的日期部分为 对应的stock_date","timestamp":1784109928282,"idempotencyKey":"fc11b4ae-ecb7-44e7-b501-01b59e37bf0c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `stock_date`：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in_out_flow_detail\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（10个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n\n还有吗？一次全整完，然后我给你生成一个**完整的 SQL 脚本文件**，方便你一次性执行 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":247,"output":551,"cacheRead":32896,"cacheWrite":0,"totalTokens":33694,"cost":{"input":0.000247,"output":0.001102,"cacheRead":0,"cacheWrite":0,"total":0.001349}},"stopReason":"stop","timestamp":1784109928948,"responseId":"530e1437-c5c6-4d13-9bd9-ceb4ee9ee99d"},{"role":"user","content":"update dmp_serp.dmp_im_stock_out set bill_date='2026-01-10',delivery_at='2026-01-25 10:26:19', create_time='2026-01-10 11:03:04', update_time='2026-01-25 10:26:19' where stock_out_no='PD2026000127' and ecid='hsjm';\n把时间等于单据日期。\n-- 生产领料单\n-- 批量更新 dmp_serp.dmp_im_stock_out 的 create_time update_time中的日期部分为 对应的bill_date","timestamp":1784109964929,"idempotencyKey":"cce96fb1-3bfc-4883-adaf-9111e6c44dd2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `bill_date`（单据日期）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_out\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（11个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n\n继续还是可以帮你生成完整脚本了？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":185,"output":566,"cacheRead":33664,"cacheWrite":0,"totalTokens":34415,"cost":{"input":0.000185,"output":0.001132,"cacheRead":0,"cacheWrite":0,"total":0.001317}},"stopReason":"stop","timestamp":1784109965649,"responseId":"46255802-137d-4009-afcd-6da8548f271b"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in_out_flow_detail set stock_date='2026-04-05',bill_date='2026-03-21',update_time='2026-04-05 14:07:09',create_time='2026-03-21 12:11:27' where flow_no='SIO20260410000236' and ecid ='hsjm';\n把时间等于单据日期。\n-- -领料出库记录\n-- 批量更新 dmp_serp.dmp_im_stock_in_out_flow_detail 的 create_time update_time中的日期部分为 对应的stock_date","timestamp":1784109993896,"idempotencyKey":"90f480c3-711d-4afa-8813-526c1cba7146:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"这个表之前已经处理过了（序号10），但之前的日期源是 `stock_date`（你说\"时间等于最后入库时间\"），现在这个你说\"时间等于单据日期\"。\n\n那我看看——同一个表 `dmp_im_stock_in_out_flow_detail`，之前是入库记录用 `stock_date`，现在是出库记录也用 `stock_date`，其实是一样的对吧？\n\n那我保持之前的脚本不变（用 `stock_date` 作为日期源），它已经覆盖了这个表的所有 `ecid = 'hsjm'` 记录：\n\n```sql\n-- 已在序号10中覆盖，无需重复\n```\n\n不过如果你想**区分入库和出库**来用不同的日期源，那就需要告诉我用什么字段来区分（比如单据类型字段）。\n\n还是说这个表统一用 `stock_date` 就行了？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":270,"output":172,"cacheRead":34304,"cacheWrite":0,"totalTokens":34746,"cost":{"input":0.00027,"output":0.00034399999999999996,"cacheRead":0,"cacheWrite":0,"total":0.000614}},"stopReason":"stop","timestamp":1784109994584,"responseId":"0e44ed7f-eb7e-4ba0-a1c8-3045b209ec87"},{"role":"user","content":[{"type":"text","text":"UPDATE dmp_smes.dmp_me_work_operate_record_detail SET stock_in_date ='2026-02-07',report_date ='2026-02-06 14:06:18',create_time ='2026-02-06 14:06:18',update_time='2026-02-06 14:06:18' WHERE batch_no='MSN00000919' AND ecid ='hsjm';\n\n把时间等于报工日期。\n-- 生产报工记录\n-- 批量更新 dmp_smes.dmp_me_work_operate_record_detail 的 create_time update_time中的日期部分为 对应的report_date"}],"timestamp":1784110030963},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `report_date`（报工日期）：\n\n```sql\nUPDATE dmp_smes.dmp_me_work_operate_record_detail\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(report_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(report_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（12个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n| 12 | `dmp_me_work_operate_record_detail` | `dmp_smes` | `report_date` | ❌ |\n\n还有吗？差不多了吧，要不要我帮你生成一个**完整的 SQL 脚本文件**？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":223,"output":613,"cacheRead":34688,"cacheWrite":0,"totalTokens":35524,"cost":{"input":0.000223,"output":0.0012259999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0014489999999999998}},"stopReason":"stop","timestamp":1784110031005,"responseId":"05098369-82e0-49aa-8fb8-ace75f94ba2c"}]}}
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No API keys required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/deep-research-pro/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/deep-research-pro","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/deep-research-pro","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/deep-research-pro/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"diagram-maker","name":"diagram-maker","description":"Create SVG/HTML or Excalidraw diagrams for concepts, architecture, flows, and whiteboards.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"dingtalk-channel-rules","name":"dingtalk-channel-rules","description":"钉钉会话输出规则。在钉钉会话中始终生效。","filePath":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-channel-rules/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-channel-rules","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-channel-rules","origin":"top-level","path":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-channel-rules/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"dingtalk-troubleshoot","name":"dingtalk-troubleshoot","description":"钉钉连接器问题排查。包含 dws CLI 常见错误处理、授权问题排查和连接故障诊断。\n当 dws 命令执行失败、授权异常、连接中断时自动激活。","filePath":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-troubleshoot/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-troubleshoot","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-troubleshoot","origin":"top-level","path":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-troubleshoot/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"docker-essentials","name":"docker-essentials","description":"Essential Docker commands and workflows for container management, image operations, and debugging.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/docker-essentials/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/docker-essentials","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/docker-essentials","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/docker-essentials/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"dws","name":"dws","description":"管理钉钉产品能力(AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/开放平台文档/钉钉文档/钉钉云盘/AI听记/邮箱/在线电子表格/知识库等)。当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报（钉钉日志模版）、读写钉钉文档、上传下载云盘文件、查询听记纪要、收发邮件、读写在线电子表格(axls)、管理钉钉知识库时使用。","filePath":"$OPENCLAW_STATE_DIR/skills/dws/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/skills/dws","source":"openclaw-managed","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/skills/dws","origin":"top-level","path":"$OPENCLAW_STATE_DIR/skills/dws/SKILL.md","scope":"project","source":"openclaw-managed"},"disableModelInvocation":false,"available":true},{"id":"dws-cli","name":"dws-cli","description":"在钉钉会话中通过 dws CLI 管理钉钉产品能力（AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/工作台等）。\n当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报时使用。","filePath":"$OPENCLAW_STATE_DIR/plugin-skills/dws-cli/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dws-cli","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dws-cli","origin":"top-level","path":"$OPENCLAW_STATE_DIR/plugin-skills/dws-cli/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"healthcheck","name":"healthcheck","description":"Audit/harden OpenClaw hosts: SSH, firewall, updates, exposure, backups, disk encryption, gateway security.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"humanizer","name":"humanizer","description":"Remove signs of AI-generated writing from text. Use when editing or reviewing\ntext to make it sound more natural and human-written. Based on Wikipedia's\ncomprehensive \"Signs of AI writing\" guide. Detects and fixes patterns including:\ninflated symbolism, promotional language, superficial -ing analyses, vague\nattributions, em dash overuse, rule of three, AI vocabulary words, negative\nparallelisms, and excessive conjunctive phrases.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"imap-smtp-email","name":"imap-smtp-email","description":"Read and send email via IMAP/SMTP. Check for new/unread messages, fetch content, search mailboxes, mark as read/unread, and send emails with attachments. Supports multiple accounts. Works with any IMAP/SMTP server including Gmail, Outlook, 163.com, vip.163.com, 126.com, vip.126.com, 188.com, and vip.188.com.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"meme-maker","name":"meme-maker","description":"Search meme templates, suggest formats, and generate local or hosted image memes.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"multi-search-engine","name":"multi-search-engine","description":"Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"MySQL","name":"MySQL","description":"Write correct MySQL queries with proper character sets, indexing, transactions, and production patterns.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"news-summary","name":"news-summary","description":"This skill should be used when the user asks for news updates, daily briefings, or what's happening in the world. Fetches news from trusted international RSS feeds and can create voice summaries.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"node-connect","name":"node-connect","description":"Diagnose OpenClaw Android, iOS, or macOS node pairing, QR/setup code, route, auth, and connection failures.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"node-inspect-debugger","name":"node-inspect-debugger","description":"Debug Node.js with node inspect, --inspect, breakpoints, CDP, heap, and CPU profiles.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"obsidian-official-cli","name":"obsidian-official-cli","description":"Work with Obsidian vaults using the official Obsidian CLI (v1.12+). Open, search, create, move, and manage notes from the terminal. Use when working with Obsidian vaults for note management, file operations, searching content, managing tasks, properties, links, plugins, themes, sync operations, or any command-line interaction with Obsidian.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"opencode-controller","name":"opencode-controller","description":"Control and operate Opencode via slash commands. Use this skill to manage sessions, select models, switch agents (plan/build), and coordinate coding through Opencode.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"openspec","name":"openspec","description":"Spec-driven development with OpenSpec CLI. Use when building features, migrations, refactors, or any structured development work. Manages proposal → specs → design → tasks → implementation workflows. Supports custom schemas (TDD, rapid, etc.). Trigger on requests involving feature planning, spec writing, change management, or when /opsx commands are mentioned.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/openspec/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/openspec","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/openspec","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/openspec/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"python-debugpy","name":"python-debugpy","description":"Debug Python with pdb, breakpoint(), post-mortem inspection, and debugpy remote attach.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"qiushi-openclaw-skills","name":"qiushi-openclaw-skills","description":"求是 OpenClaw Skills 是基于毛泽东思想方法论的 AI Agent 技能集合，按照 OpenClaw 技能格式进行改造，旨在为 AI 提供系统化的思考和行动框架。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"requirements-analyst","name":"requirements-analyst","description":"将产品需求转化为前后端可执行的技术规范，输出离线性优先的结构化文档。当用户提出产品需求、PRD、功能描述或模糊想法时自动触发。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"rss-ai-reader","name":"rss-ai-reader","description":"📰 RSS AI 阅读器 — 自动抓取订阅、LLM生成摘要、多渠道推送！\n支持 Claude/OpenAI 生成中文摘要，推送到飞书/Telegram/Email。\n触发条件: 用户要求订阅RSS、监控博客、抓取新闻、生成摘要、设置定时抓取、\n\"帮我订阅\"、\"监控这个网站\"、\"每天推送新闻\"、RSS/Atom feed 相关。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"skill-creator","name":"skill-creator","description":"Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"spike","name":"spike","description":"Run throwaway prototypes to validate feasibility, compare approaches, and report a verdict.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"Spreadsheet & Data Wrangling Master","name":"Spreadsheet & Data Wrangling Master","description":"Complete spreadsheet methodology — data cleanup, transformation, analysis, dashboards, automation, and reporting. Works with CSV, Excel, Google Sheets, or any tabular data. Use when the user needs to clean messy data, build reports, create dashboards, automate recurring spreadsheet tasks, or transform data between formats.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"sql-toolkit","name":"sql-toolkit","description":"Query, design, migrate, and optimize SQL databases. Use when working with SQLite, PostgreSQL, or MySQL — schema design, writing queries, creating migrations, indexing, backup/restore, and debugging slow queries. No ORMs required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"taskflow","name":"taskflow","description":"Coordinate multi-step detached tasks as one durable TaskFlow job with owner context, state, waits, and child tasks.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"taskflow-inbox-triage","name":"taskflow-inbox-triage","description":"Example TaskFlow pattern for inbox triage, intent routing, waiting on replies, and later summaries.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"using-superpowers","name":"using-superpowers","description":"Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"weather","name":"weather","description":"Get current weather and forecasts (no API key required).","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/weather/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/weather","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/weather","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/weather/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"web-search","name":"web-search","description":"This skill should be used when users need to search the web for information, find current content, look up news articles, search for images, or find videos. It uses a self-hosted SearXNG instance to return results in clean, formatted output (text, markdown, or JSON). Use for research, fact-checking, finding recent information, or gathering web resources.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/web-search/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/web-search","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/web-search","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/web-search/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true}]},"prompting":{"skillsPrompt":"\n\nThe following skills provide specialized instructions for specific tasks.\nUse the read tool to load a skill's file when the task matches its description.\nIf a skill's <version> differs from a previous turn, re-read its SKILL.md before using it.\nWhen a skill file references a relative path, resolve it against the skill directory (parent of SKILL.md / dirname of the path) and use that absolute path in tool commands.\n\n<available_skills>\n <skill>\n <name>agent-browser</name>\n <description>Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection</description>\n <location>~/.openclaw/workspace/skills/agent-browser-clawdbot/SKILL.md</location>\n <version>sha256:9643b9c65476eedd</version>\n </skill>\n <skill>\n <name>chinese-calendar</name>\n <description>获取中国日历信息，包括节假日、调休安排、工作日判断。使用 timor.tech API，数据每年自动更新。Use when: 需要判断某天是否是工作日、查询节假日安排、了解调休情况。</description>\n <location>~/.openclaw/workspace/skills/chinese-calendar/SKILL.md</location>\n <version>sha256:40a9ba942647e641</version>\n </skill>\n <skill>\n <name>clawhub</name>\n <description>Search ClawHub for skills when a requested capability is not already available; install, verify, update, publish, or sync skills.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/clawhub/SKILL.md</location>\n <version>sha256:6bb70d95cbd1a545</version>\n </skill>\n <skill>\n <name>Code</name>\n <description>Coding workflow with planning, implementation, verification, and testing for clean software development.</description>\n <location>~/.openclaw/workspace/skills/openclaw-code/SKILL.md</location>\n <version>sha256:f09694134cc55cc0</version>\n </skill>\n <skill>\n <name>database-admin</name>\n <description>Comprehensive database administration, schema management, data operations, and optimization. Use when Codex needs to: (1) Create or modify database tables with proper indexing, (2) Perform bulk data insertions with type safety and constraint handling, (3) Execute complex queries with JOINs, aggregations, and subqueries, (4) Optimize query performance through indexing and execution plan analysis, (5) Manage database backups, restores, and migrations, (6) Handle special data types (BIGINT, UUID, JSONB, enums), (7) Implement transactional safety with ACID compliance, or (8) Debug and resolve database errors including constraint violations, type mismatches, and foreign key issues</description>\n <location>~/.openclaw/workspace/skills/database-admin/SKILL.md</location>\n <version>sha256:7649e43727f2fb8b</version>\n </skill>\n <skill>\n <name>database-schema-designer</name>\n <description>Database Schema Designer</description>\n <location>~/.openclaw/workspace/skills/database-schema-designer/SKILL.md</location>\n <version>sha256:3f2282ec8135dfdf</version>\n </skill>\n <skill>\n <name>db-query</name>\n <description>Query project databases with automatic SSH tunnel management. Use when you need to execute SQL queries against configured databases, especially those accessible only via SSH tunnels. Automatically manages SSH connection lifecycle (establishes tunnel before query, closes after). Supports multiple databases distinguished by description/name from config file.</description>\n <location>~/.openclaw/workspace/skills/db-query/SKILL.md</location>\n <version>sha256:eaffe1e617f2b8f2</version>\n </skill>\n <skill>\n <name>db-schema</name>\n <description>Generate database schemas, migrations, and ERD diagrams from plain English descriptions — supports PostgreSQL, MySQL, SQLite, and MongoDB with proper indexes and constraints.</description>\n <location>~/.openclaw/workspace/skills/db-schema-gen/SKILL.md</location>\n <version>sha256:c511ce8bb306f227</version>\n </skill>\n <skill>\n <name>deep-research-pro</name>\n <description>Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.</description>\n <location>~/.openclaw/workspace/skills/deep-research-pro/SKILL.md</location>\n <version>sha256:a780f8bbec442198</version>\n </skill>\n <skill>\n <name>diagram-maker</name>\n <description>Create SVG/HTML or Excalidraw diagrams for concepts, architecture, flows, and whiteboards.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker/SKILL.md</location>\n <version>sha256:6195e03fcb04a1a6</version>\n </skill>\n <skill>\n <name>dingtalk-channel-rules</name>\n <description>钉钉会话输出规则。在钉钉会话中始终生效。</description>\n <location>~/.openclaw/plugin-skills/dingtalk-channel-rules/SKILL.md</location>\n <version>sha256:4abd7ff39fd8ab23</version>\n </skill>\n <skill>\n <name>dingtalk-troubleshoot</name>\n <description>钉钉连接器问题排查。包含 dws CLI 常见错误处理、授权问题排查和连接故障诊断。\n当 dws 命令执行失败、授权异常、连接中断时自动激活。</description>\n <location>~/.openclaw/plugin-skills/dingtalk-troubleshoot/SKILL.md</location>\n <version>sha256:831e1260e77bcf9b</version>\n </skill>\n <skill>\n <name>docker-essentials</name>\n <description>Essential Docker commands and workflows for container management, image operations, and debugging.</description>\n <location>~/.openclaw/workspace/skills/docker-essentials/SKILL.md</location>\n <version>sha256:bf8120febd5275b0</version>\n </skill>\n <skill>\n <name>dws</name>\n <description>管理钉钉产品能力(AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/开放平台文档/钉钉文档/钉钉云盘/AI听记/邮箱/在线电子表格/知识库等)。当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报（钉钉日志模版）、读写钉钉文档、上传下载云盘文件、查询听记纪要、收发邮件、读写在线电子表格(axls)、管理钉钉知识库时使用。</description>\n <location>~/.openclaw/skills/dws/SKILL.md</location>\n <version>sha256:25f131a2e41eeeca</version>\n </skill>\n <skill>\n <name>dws-cli</name>\n <description>在钉钉会话中通过 dws CLI 管理钉钉产品能力（AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/工作台等）。\n当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报时使用。</description>\n <location>~/.openclaw/plugin-skills/dws-cli/SKILL.md</location>\n <version>sha256:e1e0cb89e56c9a8d</version>\n </skill>\n <skill>\n <name>healthcheck</name>\n <description>Audit/harden OpenClaw hosts: SSH, firewall, updates, exposure, backups, disk encryption, gateway security.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck/SKILL.md</location>\n <version>sha256:518ec6e0482cf1c7</version>\n </skill>\n <skill>\n <name>humanizer</name>\n <description>Remove signs of AI-generated writing from text. Use when editing or reviewing\ntext to make it sound more natural and human-written. Based on Wikipedia's\ncomprehensive "Signs of AI writing" guide. Detects and fixes patterns including:\ninflated symbolism, promotional language, superficial -ing analyses, vague\nattributions, em dash overuse, rule of three, AI vocabulary words, negative\nparallelisms, and excessive conjunctive phrases.</description>\n <location>~/.openclaw/workspace/skills/humanizer/SKILL.md</location>\n <version>sha256:d7ce483d368e4301</version>\n </skill>\n <skill>\n <name>imap-smtp-email</name>\n <description>Read and send email via IMAP/SMTP. Check for new/unread messages, fetch content, search mailboxes, mark as read/unread, and send emails with attachments. Supports multiple accounts. Works with any IMAP/SMTP server including Gmail, Outlook, 163.com, vip.163.com, 126.com, vip.126.com, 188.com, and vip.188.com.</description>\n <location>~/.openclaw/workspace/skills/imap-smtp-email/SKILL.md</location>\n <version>sha256:01345a894f2863a4</version>\n </skill>\n <skill>\n <name>meme-maker</name>\n <description>Search meme templates, suggest formats, and generate local or hosted image memes.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md</location>\n <version>sha256:8b8832f9f0f58b16</version>\n </skill>\n <skill>\n <name>multi-search-engine</name>\n <description>Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required.</description>\n <location>~/.openclaw/workspace/skills/multi-search-engine/SKILL.md</location>\n <version>sha256:ef2d2706e82ad0fc</version>\n </skill>\n <skill>\n <name>MySQL</name>\n <description>Write correct MySQL queries with proper character sets, indexing, transactions, and production patterns.</description>\n <location>~/.openclaw/workspace/skills/MySQL/SKILL.md</location>\n <version>sha256:97003e1d9502f459</version>\n </skill>\n <skill>\n <name>news-summary</name>\n <description>This skill should be used when the user asks for news updates, daily briefings, or what's happening in the world. Fetches news from trusted international RSS feeds and can create voice summaries.</description>\n <location>~/.openclaw/workspace/skills/news-summary/SKILL.md</location>\n <version>sha256:1b4c45b56f567567</version>\n </skill>\n <skill>\n <name>node-connect</name>\n <description>Diagnose OpenClaw Android, iOS, or macOS node pairing, QR/setup code, route, auth, and connection failures.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md</location>\n <version>sha256:cc39026fd84e5cfa</version>\n </skill>\n <skill>\n <name>node-inspect-debugger</name>\n <description>Debug Node.js with node inspect, --inspect, breakpoints, CDP, heap, and CPU profiles.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md</location>\n <version>sha256:50d2f6828eaf4bbf</version>\n </skill>\n <skill>\n <name>obsidian-official-cli</name>\n <description>Work with Obsidian vaults using the official Obsidian CLI (v1.12+). Open, search, create, move, and manage notes from the terminal. Use when working with Obsidian vaults for note management, file operations, searching content, managing tasks, properties, links, plugins, themes, sync operations, or any command-line interaction with Obsidian.</description>\n <location>~/.openclaw/workspace/skills/obsidian-official-cli/SKILL.md</location>\n <version>sha256:d9c66873957818a1</version>\n </skill>\n <skill>\n <name>opencode-controller</name>\n <description>Control and operate Opencode via slash commands. Use this skill to manage sessions, select models, switch agents (plan/build), and coordinate coding through Opencode.</description>\n <location>~/.openclaw/workspace/skills/opencode-controller/SKILL.md</location>\n <version>sha256:6535df08ba8b0bbc</version>\n </skill>\n <skill>\n <name>openspec</name>\n <description>Spec-driven development with OpenSpec CLI. Use when building features, migrations, refactors, or any structured development work. Manages proposal → specs → design → tasks → implementation workflows. Supports custom schemas (TDD, rapid, etc.). Trigger on requests involving feature planning, spec writing, change management, or when /opsx commands are mentioned.</description>\n <location>~/.openclaw/workspace/skills/openspec/SKILL.md</location>\n <version>sha256:720f832d1879e281</version>\n </skill>\n <skill>\n <name>python-debugpy</name>\n <description>Debug Python with pdb, breakpoint(), post-mortem inspection, and debugpy remote attach.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md</location>\n <version>sha256:bfb1891204b67260</version>\n </skill>\n <skill>\n <name>qiushi-openclaw-skills</name>\n <description>求是 OpenClaw Skills 是基于毛泽东思想方法论的 AI Agent 技能集合，按照 OpenClaw 技能格式进行改造，旨在为 AI 提供系统化的思考和行动框架。</description>\n <location>~/.openclaw/workspace/skills/qiushi-openclaw-skill/SKILL.md</location>\n <version>sha256:b21d933b7f61584d</version>\n </skill>\n <skill>\n <name>requirements-analyst</name>\n <description>将产品需求转化为前后端可执行的技术规范，输出离线性优先的结构化文档。当用户提出产品需求、PRD、功能描述或模糊想法时自动触发。</description>\n <location>~/.openclaw/workspace/skills/requirements-analyst/SKILL.md</location>\n <version>sha256:f766e6b7b585e7e8</version>\n </skill>\n <skill>\n <name>rss-ai-reader</name>\n <description>📰 RSS AI 阅读器 — 自动抓取订阅、LLM生成摘要、多渠道推送！\n支持 Claude/OpenAI 生成中文摘要，推送到飞书/Telegram/Email。\n触发条件: 用户要求订阅RSS、监控博客、抓取新闻、生成摘要、设置定时抓取、\n"帮我订阅"、"监控这个网站"、"每天推送新闻"、RSS/Atom feed 相关。</description>\n <location>~/.openclaw/workspace/skills/rss-ai-reader/SKILL.md</location>\n <version>sha256:0abcc8438f644cdb</version>\n </skill>\n <skill>\n <name>skill-creator</name>\n <description>Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md</location>\n <version>sha256:d15b25d332d835eb</version>\n </skill>\n <skill>\n <name>spike</name>\n <description>Run throwaway prototypes to validate feasibility, compare approaches, and report a verdict.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md</location>\n <version>sha256:1258cde2d0e53267</version>\n </skill>\n <skill>\n <name>Spreadsheet & Data Wrangling Master</name>\n <description>Complete spreadsheet methodology — data cleanup, transformation, analysis, dashboards, automation, and reporting. Works with CSV, Excel, Google Sheets, or any tabular data. Use when the user needs to clean messy data, build reports, create dashboards, automate recurring spreadsheet tasks, or transform data between formats.</description>\n <location>~/.openclaw/workspace/skills/afrexai-spreadsheet-master/SKILL.md</location>\n <version>sha256:6505a92ae50c1cdd</version>\n </skill>\n <skill>\n <name>sql-toolkit</name>\n <description>Query, design, migrate, and optimize SQL databases. Use when working with SQLite, PostgreSQL, or MySQL — schema design, writing queries, creating migrations, indexing, backup/restore, and debugging slow queries. No ORMs required.</description>\n <location>~/.openclaw/workspace/skills/sql-toolkit/SKILL.md</location>\n <version>sha256:515ecf904449a3cd</version>\n </skill>\n <skill>\n <name>taskflow</name>\n <description>Coordinate multi-step detached tasks as one durable TaskFlow job with owner context, state, waits, and child tasks.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md</location>\n <version>sha256:d8b6a48d329aef0a</version>\n </skill>\n <skill>\n <name>taskflow-inbox-triage</name>\n <description>Example TaskFlow pattern for inbox triage, intent routing, waiting on replies, and later summaries.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md</location>\n <version>sha256:1fe28cd924d8ae2d</version>\n </skill>\n <skill>\n <name>using-superpowers</name>\n <description>Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions</description>\n <location>~/.openclaw/workspace/skills/using-superpowers/SKILL.md</location>\n <version>sha256:81d921b16502091f</version>\n </skill>\n <skill>\n <name>weather</name>\n <description>Get current weather and forecasts (no API key required).</description>\n <location>~/.openclaw/workspace/skills/weather/SKILL.md</location>\n <version>sha256:1ca0c8d768ad603e</version>\n </skill>\n <skill>\n <name>web-search</name>\n <description>This skill should be used when users need to search the web for information, find current content, look up news articles, search for images, or find videos. 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{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","source":"runtime","type":"context.compiled","ts":"2026-07-15T10:07:41.934Z","seq":3,"sourceSeq":101,"sessionId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","sessionKey":"agent:main:dashboard:2fdf88e4-fa3f-46c2-b547-384e2c048b11","runId":"b2248248-f715-42f6-9b39-d10f30b2d7c2","workspaceDir":"/home/yangxuan/.openclaw/workspace","provider":"deepseek","modelId":"deepseek-v4-flash","modelApi":"openai-completions","data":{"systemPrompt":{"truncated":true,"reason":"trajectory-field-size-limit","originalChars":39560,"limitChars":32768},"prompt":"update dmp_serp.dmp_im_stock_in set bill_date='2026-02-06',completed_at='2026-02-07 11:13:38', create_time='2026-02-06 14:06:18',update_time='2026-02-07 11:13:38' where stock_in_no='PI2604100002' and ecid ='hsjm';\n\n把时间等于单据日期。\n-- 生产入库单\n-- 批量更新 dmp_serp.dmp_im_stock_in 的 create_time update_time中的日期部分为 对应的bill_date","messages":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate \n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","timestamp":1784109538113,"idempotencyKey":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"},{"role":"user","content":"保留原时分秒，只改日期部分\nUPDATE dmp_spom.dmp_mrp_main_plan_task SET plan_start_time='2026-07-07 11:03:04',create_time='2026-07-07 10:58:04',update_time='2026-07-07 11:03:04' WHERE ecid='kanda' AND plan_no='PLAN2026071414255193535522';\n-- 物料计划主表\n-- 批量更新 dmp_spom.dmp_mrp_main_plan_task 的 create_time update_time中的日期部分为 对应的plan_start_time","timestamp":1784109596434,"idempotencyKey":"7c28a842-8a9f-4cc4-9094-1298d4ce1a5c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**物料计划主表 `dmp_mrp_main_plan_task`**，要把 `create_time` 和 `update_time` 的日期部分改为对应的 `plan_start_time`，保留原时分秒。\n\n## 更新脚本\n\n```sql\nUPDATE dmp_spom.dmp_mrp_main_plan_task\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'kanda';\n```\n\n范围条件？我看你前面说的是\"计划开始时间是7月份的数据\"，但 `plan_start_time` 看样例已经是 7 月份。你对范围有要求吗？比如：\n\n```sql\n-- 如果只要 plan_start_time 在7月份的数据\nAND plan_start_time >= '2026-07-01' AND plan_start_time < '2026-08-01'\n\n-- 或者只要 plan_start_time 日期和 create_time 日期不一致的（避免无意义更新）\nAND DATE(plan_start_time) != DATE(create_time)\n```\n\n需要加范围条件吗？还是直接全量更新 `ecid = 'kanda'` 的所有记录？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":1021,"output":340,"cacheRead":26880,"cacheWrite":0,"totalTokens":28241,"cost":{"input":0.001021,"output":0.0006799999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0017009999999999998}},"stopReason":"stop","timestamp":1784109597165,"responseId":"3546056a-f6d1-4805-b0d2-e4d5739d2293"},{"role":"user","content":"采购订单\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37' where ecid = 'hsjm' and order_no ='PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 16:10:47', update_time ='2026-01-12 16:10:47' where ecid = 'hsjm' and order_no ='PO2026000002';\n把 时间等于下单时间。\n-- 采购订单\n-- 批量更新 dmp_serp.dmp_mc_purchase_order 的 create_time update_time中的日期部分为 对应的order_date\n\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\n把 时间等于下单时间。\n\n-- 采购明细表\n-- 批量更新 dmp_serp.dmp_mc_purchase_order_detail 的 create_time update_time中的日期部分为 对应的order_date","timestamp":1784109736511,"idempotencyKey":"dea79fe3-9e82-4fcc-932b-78fe7ffb7ea2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，两个表一起处理，都是**采购订单**相关，用 `order_date` 作为日期源。\n\n## 采购订单主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购订单明细表\n\n明细表需要通过 `order_no` 和 `ecid` 关联主表获取 `order_date`：\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order_detail pd\nJOIN dmp_serp.dmp_mc_purchase_order po \n ON pd.ecid = po.ecid AND pd.order_no = po.order_no\nSET \n pd.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pd.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE pd.ecid = 'hsjm';\n```\n\n同样你提到的 **plan_arrival_date**——明细表里也有这个字段，看你样例里也在改它。但你的需求描述里只提了 `create_time` 和 `update_time`，`plan_arrival_date` 是否需要基于主表的 `plan_arrival_date` 同步更新？如果需要，可以加上：\n\n```sql\n-- 在明细表的 SET 中加上 plan_arrival_date 同步\n pd.plan_arrival_date = po.plan_arrival_date,\n```\n\n---\n\n汇总一下你到目前为止的更新清单：\n\n| 序号 | 表 | 日期源字段 |\n|------|-----|-----------|\n| 1 | `dmp_serp.dmp_om_order` | `om_orderdate` |\n| 2 | `dmp_serp.dmp_om_productinfo` | 关联主表 `om_orderdate` |\n| 3 | `dmp_spom.dmp_mrp_main_plan_task` | `plan_start_time` |\n| 4 | `dmp_serp.dmp_mc_purchase_order` | `order_date` |\n| 5 | `dmp_serp.dmp_mc_purchase_order_detail` | 关联主表 `order_date` |\n\n还有其他表要处理吗？一次性都帮你搞定 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":537,"output":666,"cacheRead":28160,"cacheWrite":0,"totalTokens":29363,"cost":{"input":0.0005369999999999999,"output":0.0013319999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0018689999999999998}},"stopReason":"stop","timestamp":1784109737239,"responseId":"4b7762d3-e202-4784-90ea-1934b8437ee9"},{"role":"user","content":"采购到货\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 14:59:11', update_time = '2026-01-22 14:59:11' where ecid = 'hsjm' and arrival_no = 'PAD2026000001';\n\n\n把 时间等于送货时间。\n-- 采购到货主表\n\n\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\n\n把 时间等于送货时间。\n-- 采购到货明细","timestamp":1784109773108,"idempotencyKey":"c1f0893e-59e7-4e66-8ebf-c96466a88991:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `ship_date`（送货时间/发货时间）。\n\n## 采购到货主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购到货明细表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival_detail ad\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON ad.ecid = a.ecid AND ad.arrival_no = a.arrival_no\nSET \n ad.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n ad.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ad.ecid = 'hsjm';\n```\n\n不过我看你的例子里，`ship_date` 和 `arrival_date` 都是 `'2026-01-22'`（同一天）。你说\"时间等于**送货时间**\"，那就是用 `ship_date` 作为日期源，没错吧？还是说你想用 `arrival_date`（到货时间）？\n\n---\n\n## 📋 完整更新清单（截至目前）\n\n| 序号 | 表 | 数据库 | 日期源字段 | 关联方式 |\n|------|-----|--------|-----------|---------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 直接更新 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate` | JOIN 主表 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 直接更新 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 直接更新 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date` | JOIN 主表 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 直接更新 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date` | JOIN 主表 |\n\n还继续有吗？一次性整完 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":427,"output":719,"cacheRead":29312,"cacheWrite":0,"totalTokens":30458,"cost":{"input":0.00042699999999999997,"output":0.001438,"cacheRead":0,"cacheWrite":0,"total":0.001865}},"stopReason":"stop","timestamp":1784109773806,"responseId":"8409c206-8436-4c31-93df-a6c9c78ea7a5"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验","timestamp":1784109808938,"idempotencyKey":"4b7a78ce-766c-439b-8784-ec9eef3f92ac:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**来料检验表**，需要关联**采购到货单**获取 `ship_date`。\n\n关联关系：`qc_task_inspect` 通过某个字段关联到采购到货单？我先看看常见关联方式——通常来料检验单会记录 `arrival_no`（到货单号）和 `ecid`。\n\n如果 `qc_task_inspect` 里有 `arrival_no` 字段，关联到 `dmp_mc_purchase_arrival`：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect qi\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON qi.ecid = a.ecid AND qi.arrival_no = a.arrival_no\nSET \n qi.insp_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.insp_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE qi.ecid = 'hsjm';\n```\n\n不过我需要确认一下——`qc_task_inspect` 里**关联采购到货单的字段名是什么**？常见的有：\n- `arrival_no` — 到货单号\n- `src_bill_no` — 来源单据号\n\n你能看看表结构确认一下关联字段吗？或者直接告诉我 `qc_task_inspect` 里哪个字段存的是到货单号就行。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":317,"output":444,"cacheRead":30336,"cacheWrite":0,"totalTokens":31097,"cost":{"input":0.000317,"output":0.000888,"cacheRead":0,"cacheWrite":0,"total":0.001205}},"stopReason":"stop","timestamp":1784109809545,"responseId":"a97cc980-d1b1-4640-9631-1a5bc07b2155"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验 只有主表","timestamp":1784109834801,"idempotencyKey":"1b1a78a5-b104-491c-8c1a-3388b55520a1:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"只有主表，没有关联明细。那 `qc_task_inspect` 直接用某个字段关联到采购到货单获取 `ship_date`。我需要先看看这个表里有什么关联字段。\n\n让我查一下表结构："},{"type":"toolCall","id":"call00zNFXflO9uvHF88gvemNV1946","name":"exec","arguments":{"command":"mysql -u root -p'YourPassword' -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null || echo \"NEED_PASSWORD\""},"partialArgs":"{\"command\": \"mysql -u root -p'YourPassword' -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null || echo \\\"NEED_PASSWORD\\\"\"}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":320,"output":127,"cacheRead":30976,"cacheWrite":0,"totalTokens":31423,"cost":{"input":0.00031999999999999997,"output":0.000254,"cacheRead":0,"cacheWrite":0,"total":0.000574}},"stopReason":"toolUse","timestamp":1784109835616,"responseId":"6d7b9ef4-7af8-4b71-a201-06dba58c46a8"},{"role":"toolResult","toolCallId":"call00zNFXflO9uvHF88gvemNV1946","toolName":"exec","content":[{"type":"text","text":"NEED_PASSWORD"}],"isError":false,"timestamp":1784109838817},{"role":"assistant","content":[{"type":"toolCall","id":"call00PIuYMg0px60fCGWCIhay2037","name":"exec","arguments":{"command":"mysql -u root -p -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null | head -50","timeout":10},"partialArgs":"{\"command\": \"mysql -u root -p -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null | head -50\", \"timeout\": 10}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":79,"output":90,"cacheRead":31360,"cacheWrite":0,"totalTokens":31529,"cost":{"input":0.000079,"output":0.00017999999999999998,"cacheRead":0,"cacheWrite":0,"total":0.000259}},"stopReason":"toolUse","timestamp":1784109838831,"responseId":"1ac67ea0-15ab-4d4d-8d1a-bec64bd8a1be"},{"role":"toolResult","toolCallId":"call00PIuYMg0px60fCGWCIhay2037","toolName":"exec","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1784109840424},{"role":"assistant","content":[{"type":"text","text":"没有直连数据库的权限，没关系。你看看 `qc_task_inspect` 表里有什么字段可以用来关联到采购到货单？比如：\n\n- `arrival_no`（到货单号）\n- `src_bill_no` / `source_no`（来源单号）\n- `order_no`（采购订单号）\n- 或者其它什么字段？\n\n你告诉我关联字段名，我就能直接写出完整的 SQL 了。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":55,"output":92,"cacheRead":31488,"cacheWrite":0,"totalTokens":31635,"cost":{"input":0.000054999999999999995,"output":0.000184,"cacheRead":0,"cacheWrite":0,"total":0.000239}},"stopReason":"stop","timestamp":1784109840437,"responseId":"e2a7cf1e-c246-4d51-b8a5-498bd181dfce"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验\n-- 批量更新 dmp_smes.qc_task_inspect 的 create_time update_time中的日期部分为 对应insp_time","timestamp":1784109869504,"idempotencyKey":"31a50ea4-daa6-44a6-b525-6e085ebd2335:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"啊，看明白了！你的意思是 **直接用 `insp_time` 作为日期源**，不需要关联到货单：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单汇总\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|--------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 否 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（关联主表） | 是 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 否 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 否 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（关联主表） | 是 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 否 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（关联主表） | 是 |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | 否 |\n\n还有要处理的表吗？一起搞定 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":242,"output":471,"cacheRead":31616,"cacheWrite":0,"totalTokens":32329,"cost":{"input":0.000242,"output":0.0009419999999999999,"cacheRead":0,"cacheWrite":0,"total":0.001184}},"stopReason":"stop","timestamp":1784109870180,"responseId":"0bddd8b3-54ef-4280-b497-c5f6e7c4c117"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in set bill_date='2026-01-23',completed_at='2026-01-24 10:33:27', create_time='2026-01-23 09:56:17',update_time='2026-01-24 10:33:27' where stock_in_no='PE2026000002' and ecid ='hsjm';\n把时间等于最后入库时间。\n-- 采购入库主表\n-- 批量更新 dmp_serp.dmp_im_stock_in 的 create_time update_time中的日期部分为 对应的completed_at","timestamp":1784109898245,"idempotencyKey":"19ea56c9-af6f-4a6e-8331-4c25e67fc817:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `completed_at`（最后入库时间）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（9个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|:----:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n\n还继续有吗？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":229,"output":499,"cacheRead":32256,"cacheWrite":0,"totalTokens":32984,"cost":{"input":0.00022899999999999998,"output":0.000998,"cacheRead":0,"cacheWrite":0,"total":0.001227}},"stopReason":"stop","timestamp":1784109898887,"responseId":"4df6ab45-0f41-4730-9b14-34965a8d2fc5"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in_out_flow_detail set stock_date='2026-01-24',bill_date='2026-01-23',update_time='2026-01-24 09:12:43',create_time='2026-01-23 09:46:37' where flow_no='SIO20260410000001' and ecid ='hsjm';\n\n把时间等于最后入库时间。\n-- 采购出入库记录\n-- 批量更新 dmp_serp.dmp_im_stock_in_out_flow_detail 的 create_time update_time中的日期部分为 对应的stock_date","timestamp":1784109928282,"idempotencyKey":"fc11b4ae-ecb7-44e7-b501-01b59e37bf0c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `stock_date`：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in_out_flow_detail\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（10个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n\n还有吗？一次全整完，然后我给你生成一个**完整的 SQL 脚本文件**，方便你一次性执行 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":247,"output":551,"cacheRead":32896,"cacheWrite":0,"totalTokens":33694,"cost":{"input":0.000247,"output":0.001102,"cacheRead":0,"cacheWrite":0,"total":0.001349}},"stopReason":"stop","timestamp":1784109928948,"responseId":"530e1437-c5c6-4d13-9bd9-ceb4ee9ee99d"},{"role":"user","content":"update dmp_serp.dmp_im_stock_out set bill_date='2026-01-10',delivery_at='2026-01-25 10:26:19', create_time='2026-01-10 11:03:04', update_time='2026-01-25 10:26:19' where stock_out_no='PD2026000127' and ecid='hsjm';\n把时间等于单据日期。\n-- 生产领料单\n-- 批量更新 dmp_serp.dmp_im_stock_out 的 create_time update_time中的日期部分为 对应的bill_date","timestamp":1784109964929,"idempotencyKey":"cce96fb1-3bfc-4883-adaf-9111e6c44dd2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `bill_date`（单据日期）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_out\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（11个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n\n继续还是可以帮你生成完整脚本了？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":185,"output":566,"cacheRead":33664,"cacheWrite":0,"totalTokens":34415,"cost":{"input":0.000185,"output":0.001132,"cacheRead":0,"cacheWrite":0,"total":0.001317}},"stopReason":"stop","timestamp":1784109965649,"responseId":"46255802-137d-4009-afcd-6da8548f271b"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in_out_flow_detail set stock_date='2026-04-05',bill_date='2026-03-21',update_time='2026-04-05 14:07:09',create_time='2026-03-21 12:11:27' where flow_no='SIO20260410000236' and ecid ='hsjm';\n把时间等于单据日期。\n-- -领料出库记录\n-- 批量更新 dmp_serp.dmp_im_stock_in_out_flow_detail 的 create_time update_time中的日期部分为 对应的stock_date","timestamp":1784109993896,"idempotencyKey":"90f480c3-711d-4afa-8813-526c1cba7146:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"这个表之前已经处理过了（序号10），但之前的日期源是 `stock_date`（你说\"时间等于最后入库时间\"），现在这个你说\"时间等于单据日期\"。\n\n那我看看——同一个表 `dmp_im_stock_in_out_flow_detail`，之前是入库记录用 `stock_date`，现在是出库记录也用 `stock_date`，其实是一样的对吧？\n\n那我保持之前的脚本不变（用 `stock_date` 作为日期源），它已经覆盖了这个表的所有 `ecid = 'hsjm'` 记录：\n\n```sql\n-- 已在序号10中覆盖，无需重复\n```\n\n不过如果你想**区分入库和出库**来用不同的日期源，那就需要告诉我用什么字段来区分（比如单据类型字段）。\n\n还是说这个表统一用 `stock_date` 就行了？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":270,"output":172,"cacheRead":34304,"cacheWrite":0,"totalTokens":34746,"cost":{"input":0.00027,"output":0.00034399999999999996,"cacheRead":0,"cacheWrite":0,"total":0.000614}},"stopReason":"stop","timestamp":1784109994584,"responseId":"0e44ed7f-eb7e-4ba0-a1c8-3045b209ec87"},{"role":"user","content":"UPDATE dmp_smes.dmp_me_work_operate_record_detail SET stock_in_date ='2026-02-07',report_date ='2026-02-06 14:06:18',create_time ='2026-02-06 14:06:18',update_time='2026-02-06 14:06:18' WHERE batch_no='MSN00000919' AND ecid ='hsjm';\n\n把时间等于报工日期。\n-- 生产报工记录\n-- 批量更新 dmp_smes.dmp_me_work_operate_record_detail 的 create_time update_time中的日期部分为 对应的report_date","timestamp":1784110030260,"idempotencyKey":"18cd925e-1adf-452f-a337-09bcf00c489c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `report_date`（报工日期）：\n\n```sql\nUPDATE dmp_smes.dmp_me_work_operate_record_detail\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(report_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(report_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（12个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n| 12 | `dmp_me_work_operate_record_detail` | `dmp_smes` | `report_date` | ❌ |\n\n还有吗？差不多了吧，要不要我帮你生成一个**完整的 SQL 脚本文件**？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":223,"output":613,"cacheRead":34688,"cacheWrite":0,"totalTokens":35524,"cost":{"input":0.000223,"output":0.0012259999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0014489999999999998}},"stopReason":"stop","timestamp":1784110031005,"responseId":"05098369-82e0-49aa-8fb8-ace75f94ba2c"}],"tools":[{"name":"agents_list","description":"List agent ids allowed for `sessions_spawn runtime=\"subagent\"`.","parameters":{"type":"object","properties":{}}},{"name":"apply_patch","description":"Apply a patch to one or more files using the apply_patch format. The input should include *** Begin Patch and *** End Patch markers.","parameters":{"type":"object","required":["input"],"properties":{"input":{"type":"string","description":"Patch content using the *** Begin Patch/End Patch format."}}}},{"name":"create_goal","description":"Create a goal only when explicitly requested by the user or system instructions. Fails if a goal already exists; use user-facing goal controls to clear it.","parameters":{"type":"object","required":["objective"],"properties":{"objective":{"type":"string","description":"Concrete objective to pursue. Create only when explicitly requested."},"token_budget":{"type":"number","description":"Optional positive token budget for this goal."}}}},{"name":"cron","description":"Manage Gateway cron jobs and wake events: reminders, check-back-later, delayed follow-ups, recurring work. Do not emulate scheduling with exec sleep/process polling.\n\nMain cron => system events for heartbeat. Isolated cron => background task in `openclaw tasks`.\n\nACTIONS:\n- status: scheduler status\n- list: compact job summaries; includeDisabled true includes disabled; use get for full job details; agentId filter auto-filled from session\n- get: one job; needs jobId\n- add: create job; needs job object\n- update: patch job; needs jobId + patch\n- remove: delete job; needs jobId\n- run: run only if due by default; needs jobId; pass runMode=\"force\" to trigger now\n- runs: run history; needs jobId\n- wake: send wake event; needs text, optional mode; defaults the target to the calling session/agent. Pass top-level sessionKey/agentId to wake a different lane owned by the calling agent.\n\nJOB SCHEMA (for add action):\n{\n \"name\": \"string\",\n \"schedule\": { ... }, // required\n \"trigger\": { \"script\": \"...\", \"once\": false }, // optional condition gate for every/cron\n \"payload\": { ... }, // required\n \"delivery\": { ... }, // optional announce for isolated/current/session, webhook for any target\n \"sessionTarget\": \"main\" | \"isolated\" | \"current\" | \"session:<id>\",\n \"enabled\": true | false // default true\n}\n\nSESSION TARGET OPTIONS:\n- \"main\": main session; requires payload.kind=\"systemEvent\"\n- \"isolated\": ephemeral isolated session; requires payload.kind=\"agentTurn\"\n- \"current\": bind current session at creation\n- \"session:<id>\": persistent named session\n\nDEFAULTS:\n- payload.kind=\"systemEvent\" → defaults to \"main\"\n- payload.kind=\"agentTurn\" → defaults to \"isolated\"\nCurrent binding needs sessionTarget=\"current\".\n\nSCHEDULE TYPES (schedule.kind):\n- \"at\": one-shot absolute time\n { \"kind\": \"at\", \"at\": \"<ISO-8601 timestamp>\" }\n- \"every\": recurring interval\n { \"kind\": \"every\", \"everyMs\": <ms>, \"anchorMs\": <optional-ms> }\n- \"cron\": expr in supplied timezone, or Gateway host local timezone when tz omitted\n { \"kind\": \"cron\", \"expr\": \"<cron-expression>\", \"tz\": \"<optional-IANA-timezone>\" }\n Write expr in local wall-clock time; do not convert the requested local time to UTC first.\n tz omitted => Gateway host local timezone, not UTC.\n Example 6pm Shanghai daily: { \"kind\": \"cron\", \"expr\": \"0 18 * * *\", \"tz\": \"Asia/Shanghai\" }\n\nOptional trigger scripts poll headlessly on every/cron schedules and run the payload only when they return { fire: true }.\n\nFor \"at\", ISO timestamps without timezone are UTC.\n\nPAYLOAD TYPES (payload.kind):\n- \"systemEvent\": inject text as system event\n { \"kind\": \"systemEvent\", \"text\": \"<message>\" }\n- \"agentTurn\": run agent with prompt; isolated/current/session only\n { \"kind\": \"agentTurn\", \"message\": \"<prompt>\", \"model\": \"<optional>\", \"thinking\": \"<optional>\", \"timeoutSeconds\": <optional, 0=no timeout> }\n\nDELIVERY (top-level):\n { \"mode\": \"none|announce|webhook\", \"channel\": \"<optional>\", \"to\": \"<optional>\", \"threadId\": \"<optional>\", \"bestEffort\": <optional-bool> }\n - isolated agentTurn default when omitted: \"announce\"\n - announce: send to chat channel; isolated/current/session only; optional channel/to\n - threadId: chat thread/topic id\n - webhook: POST finished-run event to delivery.to URL\n - Specific chat/recipient: set announce delivery.channel/to; do not call messaging tools inside run.\n\nCRITICAL CONSTRAINTS:\n- sessionTarget=\"main\" REQUIRES payload.kind=\"systemEvent\"\n- sessionTarget=\"isolated\" | \"current\" | \"session:xxx\" REQUIRES payload.kind=\"agentTurn\"\n- Webhook: delivery.mode=\"webhook\" and delivery.to URL.\nDefault: prefer isolated agentTurn jobs unless the user explicitly wants current-session binding.\n\nRESTRICTED CRON RUNS:\n- Some isolated cron runs get narrow self-cleanup grant: status/list self-only, get/runs current job only, mutation only remove current job.\n\nWAKE MODES (for wake action):\n- \"next-heartbeat\" default: wake next heartbeat\n- \"now\": wake immediately\n\nUse jobId canonical; id accepted compat. contextMessages (0-10) adds previous messages as job context.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"includeDisabled":{"type":"boolean"},"job":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"additionalProperties":true},"jobId":{"type":"string"},"id":{"type":"string"},"patch":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"additionalProperties":true},"text":{"type":"string"},"mode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"runMode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Run mode for action=\"run\": omitted defaults to \"due\"; use \"force\" to trigger now."},"contextMessages":{"type":"integer","minimum":0,"maximum":10},"agentId":{"type":"string","description":"List filter for `action: \"list\"`; wake target override for `action: \"wake\"` (defaults to the calling agent when omitted on wake)"},"sessionKey":{"type":"string","description":"Wake target override for `action: \"wake\"`: route the event to another session owned by the calling agent. Defaults to the resolved calling-session key when omitted."}},"additionalProperties":true}},{"name":"edit","description":"Edit a single file using exact text replacement. Every edits[].oldText must match a unique, non-overlapping region of the original file. If two changes affect the same block or nearby lines, merge them into one edit instead of emitting overlapping edits. Do not include large unchanged regions just to connect distant changes.","parameters":{"type":"object","required":["path","edits"],"properties":{"path":{"type":"string","description":"Path to the file to edit (relative or absolute)"},"edits":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"One or more targeted replacements. Each edit is matched against the original file, not incrementally. Do not include overlapping or nested edits. If two changes touch the same block or nearby lines, merge them into one edit instead."}},"additionalProperties":false}},{"name":"exec","description":"Execute shell commands with background continuation for work that starts now. Use yieldMs/background to continue later via process tool. For long-running work started now, rely on automatic completion wake when it is enabled and the command emits output or fails; otherwise use process to confirm completion. Use process whenever you need logs, status, input, or intervention. Do not use exec sleep or delay loops for reminders or deferred follow-ups; use cron instead. Use pty=true for TTY-required commands (terminal UIs, coding agents).","parameters":{"type":"object","required":["command"],"properties":{"command":{"type":"string","description":"Shell command to execute"},"workdir":{"type":"string","description":"Working directory. Blank/whitespace values are invalid; omit to use the default cwd."},"env":{"type":"object","patternProperties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"yieldMs":{"type":"number","description":"Milliseconds to wait before backgrounding (default 10000)"},"background":{"type":"boolean","description":"Run in background immediately"},"timeout":{"type":"number","description":"Timeout in seconds (optional, kills process on expiry)"},"pty":{"type":"boolean","description":"Run in a pseudo-terminal (PTY) when available (TTY-required CLIs, coding agents)"},"elevated":{"type":"boolean","description":"Run on the host with elevated permissions (if allowed)"},"host":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Exec host/target (auto|sandbox|gateway|node)."},"security":{"type":"string","description":"Ignored for normal calls; exec security is set by tools.exec.security and host approvals."},"ask":{"type":"string","description":"Baseline ask comes from tools.exec.ask and host approvals; channel-origin calls ignore per-call ask when effective host ask is off."},"node":{"type":"string","description":"Node id/name for host=node."}}}},{"name":"gateway","description":"Gateway restart/config/update. Before config edits, use config.schema.lookup with targeted dot path. Prefer config.patch for partial merge; config.apply only full replace. For config.patch that intentionally removes array entries, pass replacePaths with the exact affected array path. Writes hot-reload or restart as needed. Always pass human `note` for post-restart delivery. If post-restart work must continue internally, pass one-shot `continuationMessage`; visible follow-up from that turn must use the message tool. Do not write restart sentinel files directly.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"delayMs":{"type":"integer","minimum":0},"reason":{"type":"string"},"continuationMessage":{"type":"string"},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"path":{"type":"string"},"raw":{"type":"string"},"baseHash":{"type":"string"},"replacePaths":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"maxItems":256},"sessionKey":{"type":"string"},"note":{"type":"string"},"restartDelayMs":{"type":"integer","minimum":0}}}},{"name":"get_goal","description":"Get the current goal for this thread, including status and token usage.","parameters":{"type":"object","properties":{}}},{"name":"image","description":"Analyze images with available vision model. Use image for one path/URL, images for max 20. Prompt says what to inspect.","parameters":{"type":"object","properties":{"prompt":{"type":"string"},"image":{"type":"string","description":"One image path/URL."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Image paths/URLs; maxImages default 20."},"model":{"type":"string"},"maxBytesMb":{"type":"number","exclusiveMinimum":0},"maxImages":{"type":"integer","minimum":1}}}},{"name":"image_generate","description":"Create/edit images. Session chats: background task; do not call image_generate again for same request; wait completion, then report through the current visible-reply contract with generated media attached using structured media fields. Transparent: outputFormat=\"png\" or \"webp\" + background=\"transparent\"; OpenAI also supports openai.background and routes default model to gpt-image-1.5. Use action=\"list\" for providers/models/readiness/auth, \"status\" for active task.","parameters":{"type":"object","properties":{"action":{"type":"string","description":"\"generate\" default, \"status\" active task, \"list\" providers/models."},"prompt":{"type":"string","description":"Image prompt."},"image":{"type":"string","description":"Reference image path/URL for edit."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference images for edit or style reference; max 14."},"model":{"type":"string","description":"Provider/model override, e.g. openai/gpt-image-2; transparent OpenAI: openai/gpt-image-1.5."},"filename":{"type":"string","description":"Output filename hint; basename preserved in managed media dir."},"size":{"type":"string","description":"Size hint: 1024x1024, 1536x1024, 1024x1536, 2048x2048, 3840x2160."},"aspectRatio":{"type":"string","description":"Aspect ratio: 1:1, 2:1, 20:9, 19.5:9, 2:3, 3:2, 2.35:1, 3:4, 4:3, 4:5, 5:4, 9:16, 9:19.5, 9:20, 16:9, 21:9, 1:2, 4:1, 1:4, 8:1, 1:8."},"resolution":{"type":"string","description":"Resolution: 1K, 2K, 4K; useful for Google."},"quality":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Quality: low, medium, high, auto."},"outputFormat":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Output format: png, jpeg, webp."},"background":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Background: transparent, opaque, auto. Transparent needs png/webp output."},"openai":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"fal":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"count":{"type":"integer","description":"Image count 1-4.","minimum":1,"maximum":4},"timeoutMs":{"type":"integer","description":"Provider timeout ms (300000 tends to be a safe amount).","minimum":1}}}},{"name":"memory_get","description":"Safe exact excerpt read from MEMORY.md or memory/*.md. Defaults to a bounded excerpt when lines are omitted, includes truncation/continuation info when more content exists, and `corpus=wiki` reads from registered compiled-wiki supplements.","parameters":{"type":"object","properties":{"path":{"type":"string"},"from":{"type":"integer","minimum":1},"lines":{"type":"integer","minimum":1},"corpus":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}},"required":["path"],"additionalProperties":false}},{"name":"memory_search","description":"Mandatory recall step: semantically search MEMORY.md + memory/*.md (and optional session transcripts) before answering questions about prior work, decisions, dates, people, preferences, or todos. Optional `corpus=wiki` or `corpus=all` also searches registered compiled-wiki supplements. `corpus=memory` restricts hits to indexed memory files (excludes session transcript chunks from ranking). `corpus=sessions` restricts hits to indexed session transcripts (same visibility rules as session history tools). If response has disabled=true, memory retrieval is unavailable and should be surfaced to the user.","parameters":{"type":"object","properties":{"query":{"type":"string"},"maxResults":{"type":"integer","minimum":1},"minScore":{"type":"number"},"corpus":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}},"required":["query"],"additionalProperties":false}},{"name":"message","description":"Send/delete/manage channel messages. Supports actions: send.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"channel":{"type":"string"},"target":{"type":"string","description":"Recipient/channel: E.164 for WhatsApp/Signal, Telegram chat id/@username, Discord/Slack/Mattermost <channelId|user:ID|channel:ID>, or iMessage handle/chat_id"},"targets":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"accountId":{"type":"string"},"dryRun":{"type":"boolean"},"message":{"type":"string"},"effectId":{"type":"string","description":"Effect id/name for sendWithEffect."},"effect":{"type":"string","description":"Alias for effectId."},"media":{"type":"string","description":"Media URL/path. data: use buffer."},"filename":{"type":"string"},"buffer":{"type":"string","description":"Base64 attachment payload; data URL ok."},"contentType":{"type":"string"},"mimeType":{"type":"string"},"caption":{"type":"string"},"attachments":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Structured attachments; each entry uses media."},"replyTo":{"type":"string"},"threadId":{"type":"string"},"asVoice":{"type":"boolean"},"silent":{"type":"boolean"},"quoteText":{"type":"string","description":"Telegram reply quote text."},"gifPlayback":{"type":"boolean"},"forceDocument":{"type":"boolean","description":"Send image/GIF/video as document; avoids compression."},"asDocument":{"type":"boolean","description":"Alias for forceDocument."},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1}}}},{"name":"node_inference","description":"Discover and run chat-capable Ollama models installed on paired desktop/server nodes. Use action=discover first, then action=run with a node and model from that result. Inference stays on the selected node.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"node":{"type":"string","description":"Connected node id or display name. Required when ambiguous."},"model":{"type":"string","description":"Exact local model name returned by discover."},"prompt":{"type":"string","description":"Prompt for action=run."},"system":{"type":"string","description":"Optional system prompt for action=run."},"temperature":{"type":"number","minimum":0,"maximum":2},"maxTokens":{"type":"integer","minimum":1,"maximum":8192},"timeoutMs":{"type":"integer","minimum":1,"maximum":600000}},"additionalProperties":false}},{"name":"nodes","description":"Discover/control paired nodes: status, describe, pairing, notify, camera/photos/screen/location/notifications/invoke. Use file_fetch for files.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"node":{"type":"string"},"requestId":{"type":"string"},"title":{"type":"string"},"body":{"type":"string"},"sound":{"type":"string"},"priority":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"delivery":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"facing":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"camera_snap: front/back/both; camera_clip: front/back only."},"maxWidth":{"type":"integer","minimum":1},"quality":{"type":"number","minimum":0,"maximum":1},"delayMs":{"type":"integer","minimum":0},"deviceId":{"type":"string"},"limit":{"type":"integer","minimum":1,"maximum":20},"duration":{"type":"string"},"durationMs":{"type":"integer","minimum":1,"maximum":300000},"includeAudio":{"type":"boolean"},"fps":{"type":"number","exclusiveMinimum":0},"screenIndex":{"type":"integer","minimum":0},"outPath":{"type":"string"},"maxAgeMs":{"type":"integer","minimum":0},"locationTimeoutMs":{"type":"integer","minimum":1},"desiredAccuracy":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"notificationAction":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"notificationKey":{"type":"string"},"notificationReplyText":{"type":"string"},"invokeCommand":{"type":"string"},"invokeParamsJson":{"type":"string"},"invokeTimeoutMs":{"type":"integer","minimum":1}}}},{"name":"pdf","description":"Analyze PDFs with model. Anthropic/Google native PDF when supported; else text/image extraction. Use pdf for one, pdfs for max 10; prompt says what to inspect.","parameters":{"type":"object","properties":{"prompt":{"type":"string"},"pdf":{"type":"string","description":"One PDF path/URL."},"pdfs":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"PDF paths/URLs; max 10."},"pages":{"type":"string","description":"Pages, e.g. \"1-5\", \"1,3,5-7\"; default all."},"model":{"type":"string"},"maxBytesMb":{"type":"number","exclusiveMinimum":0}}}},{"name":"process","description":"Manage running exec sessions for commands already started: list, poll, log, write, send-keys, submit, paste, kill. Use poll/log when you need status, logs, quiet-success confirmation, or completion confirmation when automatic completion wake is unavailable. Use poll/log also for input-wait hints. Use write/send-keys/submit/paste/kill for input or intervention. Do not use process polling to emulate timers or reminders; use cron for scheduled follow-ups.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","description":"Process action (list|poll|log|write|send-keys|submit|paste|kill|clear|remove)"},"sessionId":{"type":"string","description":"Session id for actions other than list"},"data":{"type":"string","description":"Data to write for write"},"keys":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Key tokens to send for send-keys"},"hex":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Hex bytes to send for send-keys"},"literal":{"type":"string","description":"Literal string for send-keys"},"text":{"type":"string","description":"Text to paste for paste"},"bracketed":{"type":"boolean","description":"Wrap paste in bracketed mode"},"eof":{"type":"boolean","description":"Close stdin after write"},"offset":{"type":"number","description":"Log offset"},"limit":{"type":"number","description":"Log length"},"timeout":{"type":"number","description":"For poll: wait up to this many milliseconds before returning; max 30000 ms, higher values are clamped to 30000","minimum":0}}}},{"name":"read","description":"Read the contents of a file. Supports text files and images (jpg, png, gif, webp, bmp). Images are sent as attachments. For text files, output is truncated to 2000 lines or 50KB (whichever is hit first). Use offset/limit for large files. When you need the full file, continue with offset until complete.","parameters":{"type":"object","required":["path"],"properties":{"path":{"type":"string","description":"Path to the file to read (relative or absolute)"},"offset":{"type":"number","description":"Line number to start reading from (1-indexed)"},"limit":{"type":"number","description":"Maximum number of lines to read"}}}},{"name":"session_status","description":"Show /status-like card for current/visible session: model, usage, time, cost, tasks. Use `sessionKey=\"current\"` for current session; UI labels like `openclaw-tui` are not keys. `model` sets session override; `model=default` resets. Use for active model/session config questions.","parameters":{"type":"object","properties":{"sessionKey":{"type":"string"},"model":{"type":"string"}}}},{"name":"sessions_history","description":"Fetch sanitized history for visible session. Use before replying, debugging, resuming; supports limit, offset pagination, and tool-message inclusion.","parameters":{"type":"object","required":["sessionKey"],"properties":{"sessionKey":{"type":"string"},"limit":{"type":"integer","minimum":1},"offset":{"type":"integer","minimum":0},"includeTools":{"type":"boolean"}}}},{"name":"sessions_list","description":"List visible sessions; filter by kind, label, agentId, search, activity, archive state. Use before sessions_history or sessions_send target selection.","parameters":{"type":"object","properties":{"kinds":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"limit":{"type":"integer","minimum":1},"activeMinutes":{"type":"integer","minimum":1},"messageLimit":{"type":"integer","minimum":0},"label":{"type":"string","minLength":1},"agentId":{"type":"string","minLength":1,"maxLength":64},"search":{"type":"string","minLength":1},"archived":{"type":"boolean"},"includeDerivedTitles":{"type":"boolean"},"includeLastMessage":{"type":"boolean"}}}},{"name":"sessions_send","description":"Send message to visible session by sessionKey/label, or configured agent by agentId; sessionKey wins when redundant label metadata is present. Thread-scoped chats rejected; target parent channel session. Creates missing configured-agent main session; waits for reply when available.","parameters":{"type":"object","required":["message"],"properties":{"sessionKey":{"type":"string"},"label":{"type":"string","minLength":1,"maxLength":512},"agentId":{"type":"string","minLength":1,"maxLength":64},"message":{"type":"string"},"timeoutSeconds":{"type":"integer","minimum":0}}}},{"name":"sessions_spawn","description":"Spawn clean child session; default `runtime=\"subagent\"`. `mode=\"run\"` one-shot background work. Subagents inherit parent workspace. Native subagents get task in first visible `[Subagent Task]` message. Native only: `context=\"fork\"` only when child needs current transcript; else omit or `isolated`. Use for fresh child-session work. Delegate sidecar/parallel tasks: batch file reads, multi-step searches, data collection. Avoid delegating quick lookups or single-file reads unless policy prefers delegation. After spawning, do non-overlapping work while run-mode results return.","parameters":{"type":"object","required":["task"],"properties":{"task":{"type":"string"},"taskName":{"type":"string","description":"Stable alias for later targeting; lowercase letters/digits/underscores/hyphens, starts letter."},"label":{"type":"string"},"runtime":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"agentId":{"type":"string"},"model":{"type":"string"},"thinking":{"type":"string"},"cwd":{"type":"string"},"mode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"cleanup":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"sandbox":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"context":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Native context. Omit/\"isolated\" for clean child; \"fork\" only when child needs requester transcript."},"lightContext":{"type":"boolean","description":"Light bootstrap context; runtime=\"subagent\" only."},"attachments":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"maxItems":50},"attachAs":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}}}},{"name":"sessions_yield","description":"End current turn. Use after spawning subagents; results arrive as next message.","parameters":{"type":"object","properties":{"message":{"type":"string"}}}},{"name":"skill_workshop","description":"Create, update, revise, list, inspect, apply, reject, or quarantine Skill Workshop proposals when reusable procedures should be captured, improved, or explicitly approved.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"create = new skill; update = existing live skill; revise = existing pending proposal; list/inspect discover pending proposals (not filesystem search); apply/reject/quarantine are explicit lifecycle actions."},"proposal_id":{"type":"string","description":"Existing proposal id for action=inspect, action=revise, action=apply, action=reject, or action=quarantine."},"name":{"type":"string","description":"Skill/proposal name. Required for create; for inspect/revise when proposal_id is unknown, resolves a pending proposal or returns candidates."},"query":{"type":"string","description":"Optional query for action=list."},"status":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Optional proposal status filter for action=list."},"limit":{"type":"integer","minimum":1,"maximum":50,"description":"Maximum proposals to return for action=list. Defaults to 20."},"description":{"type":"string","maxLength":160,"description":"Skill description for create/update/revise; max 160 bytes. On update, concise text shortens the proposal listing entry."},"skill_name":{"type":"string","description":"Existing skill name or key for action=update."},"proposal_content":{"type":"string","description":"Full proposed procedure markdown for action=create, action=update, or action=revise. It will be stored as PROPOSAL.md. Keep under configured skills.workshop.maxSkillBytes; default max is 40000 bytes."},"support_files":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Optional support files to store with the proposal."},"goal":{"type":"string","description":"Proposal or improvement goal."},"evidence":{"type":"string","description":"Short evidence or notes."},"reason":{"type":"string","description":"Optional reason for action=apply, action=reject, or action=quarantine."}},"additionalProperties":false}},{"name":"subagents","description":"List active and recent subagents for the requester session. If sessions_yield exists, use it for completion; do not poll wait loops.","parameters":{"type":"object","properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"recentMinutes":{"type":"integer","minimum":1}}}},{"name":"tts","description":"Use only for explicit audio intent (voice/speech/TTS) or active TTS config. Never use for ordinary text replies. Audio auto-delivered from tool result; after success follow reply instructions, no duplicate text/audio.","parameters":{"type":"object","required":["text"],"properties":{"text":{"type":"string","description":"Text to speak."},"channel":{"type":"string","description":"Channel id; output-format hint."},"timeoutMs":{"type":"integer","description":"Provider timeout ms.","minimum":1}}}},{"name":"update_goal","description":"Mark the current goal complete only when achieved, or blocked only after the same blocking condition recurs for at least three consecutive goal turns. Do not use blocked for ordinary difficulty or missing polish.","parameters":{"type":"object","required":["status"],"properties":{"status":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"complete | blocked."},"note":{"type":"string","description":"Short status note."}}}},{"name":"update_plan","description":"Update current run plan. Use for non-trivial multi-step work; keep plan current while executing. Short steps; max one `in_progress`; skip for simple one-step work.","parameters":{"type":"object","required":["plan"],"properties":{"explanation":{"type":"string","description":"Short note: what changed."},"plan":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"minItems":1,"description":"Ordered steps; max one in_progress."}}}},{"name":"video_generate","description":"Create videos. Session chats: background task; do not call video_generate again for same request; wait completion, then report through the current visible-reply contract with generated media attached using structured media fields. \"status\" checks active task. Duration may round to provider-supported value.","parameters":{"type":"object","properties":{"action":{"type":"string","description":"\"generate\" default, \"status\" active task, \"list\" providers/models."},"prompt":{"type":"string","description":"Video prompt."},"image":{"type":"string","description":"One reference image path/URL."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference images; max 9."},"imageRoles":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"`image` + `images` roles by index after de-dupe. Values: first_frame, last_frame, reference_image; empty string leaves unset."},"video":{"type":"string","description":"One reference video path/URL."},"videos":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference videos; max 4."},"videoRoles":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"`video` + `videos` roles by index after de-dupe. Value: reference_video; empty string leaves unset."},"model":{"type":"string","description":"Provider/model override, e.g. qwen/wan2.6-t2v."},"filename":{"type":"string","description":"Output filename hint; basename preserved in managed media dir."},"size":{"type":"string","description":"Size hint, e.g. 1280x720, 1920x1080."},"aspectRatio":{"type":"string","description":"Aspect ratio: 1:1, 16:9, 9:16, \"adaptive\", or provider value; unsupported normalized/ignored."},"resolution":{"type":"string","description":"Resolution: 360P, 480P, 540P, 720P, 768P, 1080P, 4K, or provider value; unsupported normalized/ignored."},"durationSeconds":{"type":"integer","description":"Target seconds; may round to nearest supported duration.","minimum":1},"audio":{"type":"boolean","description":"Generated-audio toggle."},"watermark":{"type":"boolean","description":"Watermark toggle."},"providerOptions":{"type":"object","patternProperties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Provider JSON options, e.g. {\"seed\":42}. Keys/types must match provider capabilities; mismatch skips candidate. Use action=list for accepted keys."},"timeoutMs":{"type":"integer","description":"Provider timeout ms.","minimum":1}}}},{"name":"write","description":"Write content to a file. Creates the file if it doesn't exist, overwrites if it does. Automatically creates parent directories.","parameters":{"type":"object","required":["path","content"],"properties":{"path":{"type":"string","description":"Path to the file to write (relative or absolute)"},"content":{"type":"string","description":"Content to write to the file"}}}}],"imagesCount":0,"streamStrategy":"boundary-aware:openai-completions","transport":"auto","transcriptLeafId":"98669062"}}
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{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","source":"runtime","type":"prompt.submitted","ts":"2026-07-15T10:07:41.981Z","seq":4,"sourceSeq":102,"sessionId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","sessionKey":"agent:main:dashboard:2fdf88e4-fa3f-46c2-b547-384e2c048b11","runId":"b2248248-f715-42f6-9b39-d10f30b2d7c2","workspaceDir":"/home/yangxuan/.openclaw/workspace","provider":"deepseek","modelId":"deepseek-v4-flash","modelApi":"openai-completions","data":{"prompt":"update dmp_serp.dmp_im_stock_in set bill_date='2026-02-06',completed_at='2026-02-07 11:13:38', create_time='2026-02-06 14:06:18',update_time='2026-02-07 11:13:38' where stock_in_no='PI2604100002' and ecid ='hsjm';\n\n把时间等于单据日期。\n-- 生产入库单\n-- 批量更新 dmp_serp.dmp_im_stock_in 的 create_time update_time中的日期部分为 对应的bill_date","systemPrompt":{"truncated":true,"reason":"trajectory-field-size-limit","originalChars":39560,"limitChars":32768},"messages":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate \n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","timestamp":1784109538113,"idempotencyKey":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"},{"role":"user","content":"保留原时分秒，只改日期部分\nUPDATE dmp_spom.dmp_mrp_main_plan_task SET plan_start_time='2026-07-07 11:03:04',create_time='2026-07-07 10:58:04',update_time='2026-07-07 11:03:04' WHERE ecid='kanda' AND plan_no='PLAN2026071414255193535522';\n-- 物料计划主表\n-- 批量更新 dmp_spom.dmp_mrp_main_plan_task 的 create_time update_time中的日期部分为 对应的plan_start_time","timestamp":1784109596434,"idempotencyKey":"7c28a842-8a9f-4cc4-9094-1298d4ce1a5c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**物料计划主表 `dmp_mrp_main_plan_task`**，要把 `create_time` 和 `update_time` 的日期部分改为对应的 `plan_start_time`，保留原时分秒。\n\n## 更新脚本\n\n```sql\nUPDATE dmp_spom.dmp_mrp_main_plan_task\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'kanda';\n```\n\n范围条件？我看你前面说的是\"计划开始时间是7月份的数据\"，但 `plan_start_time` 看样例已经是 7 月份。你对范围有要求吗？比如：\n\n```sql\n-- 如果只要 plan_start_time 在7月份的数据\nAND plan_start_time >= '2026-07-01' AND plan_start_time < '2026-08-01'\n\n-- 或者只要 plan_start_time 日期和 create_time 日期不一致的（避免无意义更新）\nAND DATE(plan_start_time) != DATE(create_time)\n```\n\n需要加范围条件吗？还是直接全量更新 `ecid = 'kanda'` 的所有记录？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":1021,"output":340,"cacheRead":26880,"cacheWrite":0,"totalTokens":28241,"cost":{"input":0.001021,"output":0.0006799999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0017009999999999998}},"stopReason":"stop","timestamp":1784109597165,"responseId":"3546056a-f6d1-4805-b0d2-e4d5739d2293"},{"role":"user","content":"采购订单\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37' where ecid = 'hsjm' and order_no ='PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 16:10:47', update_time ='2026-01-12 16:10:47' where ecid = 'hsjm' and order_no ='PO2026000002';\n把 时间等于下单时间。\n-- 采购订单\n-- 批量更新 dmp_serp.dmp_mc_purchase_order 的 create_time update_time中的日期部分为 对应的order_date\n\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\n把 时间等于下单时间。\n\n-- 采购明细表\n-- 批量更新 dmp_serp.dmp_mc_purchase_order_detail 的 create_time update_time中的日期部分为 对应的order_date","timestamp":1784109736511,"idempotencyKey":"dea79fe3-9e82-4fcc-932b-78fe7ffb7ea2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，两个表一起处理，都是**采购订单**相关，用 `order_date` 作为日期源。\n\n## 采购订单主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购订单明细表\n\n明细表需要通过 `order_no` 和 `ecid` 关联主表获取 `order_date`：\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order_detail pd\nJOIN dmp_serp.dmp_mc_purchase_order po \n ON pd.ecid = po.ecid AND pd.order_no = po.order_no\nSET \n pd.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pd.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE pd.ecid = 'hsjm';\n```\n\n同样你提到的 **plan_arrival_date**——明细表里也有这个字段，看你样例里也在改它。但你的需求描述里只提了 `create_time` 和 `update_time`，`plan_arrival_date` 是否需要基于主表的 `plan_arrival_date` 同步更新？如果需要，可以加上：\n\n```sql\n-- 在明细表的 SET 中加上 plan_arrival_date 同步\n pd.plan_arrival_date = po.plan_arrival_date,\n```\n\n---\n\n汇总一下你到目前为止的更新清单：\n\n| 序号 | 表 | 日期源字段 |\n|------|-----|-----------|\n| 1 | `dmp_serp.dmp_om_order` | `om_orderdate` |\n| 2 | `dmp_serp.dmp_om_productinfo` | 关联主表 `om_orderdate` |\n| 3 | `dmp_spom.dmp_mrp_main_plan_task` | `plan_start_time` |\n| 4 | `dmp_serp.dmp_mc_purchase_order` | `order_date` |\n| 5 | `dmp_serp.dmp_mc_purchase_order_detail` | 关联主表 `order_date` |\n\n还有其他表要处理吗？一次性都帮你搞定 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":537,"output":666,"cacheRead":28160,"cacheWrite":0,"totalTokens":29363,"cost":{"input":0.0005369999999999999,"output":0.0013319999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0018689999999999998}},"stopReason":"stop","timestamp":1784109737239,"responseId":"4b7762d3-e202-4784-90ea-1934b8437ee9"},{"role":"user","content":"采购到货\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 14:59:11', update_time = '2026-01-22 14:59:11' where ecid = 'hsjm' and arrival_no = 'PAD2026000001';\n\n\n把 时间等于送货时间。\n-- 采购到货主表\n\n\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\n\n把 时间等于送货时间。\n-- 采购到货明细","timestamp":1784109773108,"idempotencyKey":"c1f0893e-59e7-4e66-8ebf-c96466a88991:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `ship_date`（送货时间/发货时间）。\n\n## 采购到货主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购到货明细表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival_detail ad\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON ad.ecid = a.ecid AND ad.arrival_no = a.arrival_no\nSET \n ad.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n ad.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ad.ecid = 'hsjm';\n```\n\n不过我看你的例子里，`ship_date` 和 `arrival_date` 都是 `'2026-01-22'`（同一天）。你说\"时间等于**送货时间**\"，那就是用 `ship_date` 作为日期源，没错吧？还是说你想用 `arrival_date`（到货时间）？\n\n---\n\n## 📋 完整更新清单（截至目前）\n\n| 序号 | 表 | 数据库 | 日期源字段 | 关联方式 |\n|------|-----|--------|-----------|---------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 直接更新 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate` | JOIN 主表 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 直接更新 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 直接更新 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date` | JOIN 主表 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 直接更新 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date` | JOIN 主表 |\n\n还继续有吗？一次性整完 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":427,"output":719,"cacheRead":29312,"cacheWrite":0,"totalTokens":30458,"cost":{"input":0.00042699999999999997,"output":0.001438,"cacheRead":0,"cacheWrite":0,"total":0.001865}},"stopReason":"stop","timestamp":1784109773806,"responseId":"8409c206-8436-4c31-93df-a6c9c78ea7a5"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验","timestamp":1784109808938,"idempotencyKey":"4b7a78ce-766c-439b-8784-ec9eef3f92ac:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**来料检验表**，需要关联**采购到货单**获取 `ship_date`。\n\n关联关系：`qc_task_inspect` 通过某个字段关联到采购到货单？我先看看常见关联方式——通常来料检验单会记录 `arrival_no`（到货单号）和 `ecid`。\n\n如果 `qc_task_inspect` 里有 `arrival_no` 字段，关联到 `dmp_mc_purchase_arrival`：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect qi\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON qi.ecid = a.ecid AND qi.arrival_no = a.arrival_no\nSET \n qi.insp_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.insp_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE qi.ecid = 'hsjm';\n```\n\n不过我需要确认一下——`qc_task_inspect` 里**关联采购到货单的字段名是什么**？常见的有：\n- `arrival_no` — 到货单号\n- `src_bill_no` — 来源单据号\n\n你能看看表结构确认一下关联字段吗？或者直接告诉我 `qc_task_inspect` 里哪个字段存的是到货单号就行。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":317,"output":444,"cacheRead":30336,"cacheWrite":0,"totalTokens":31097,"cost":{"input":0.000317,"output":0.000888,"cacheRead":0,"cacheWrite":0,"total":0.001205}},"stopReason":"stop","timestamp":1784109809545,"responseId":"a97cc980-d1b1-4640-9631-1a5bc07b2155"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验 只有主表","timestamp":1784109834801,"idempotencyKey":"1b1a78a5-b104-491c-8c1a-3388b55520a1:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"只有主表，没有关联明细。那 `qc_task_inspect` 直接用某个字段关联到采购到货单获取 `ship_date`。我需要先看看这个表里有什么关联字段。\n\n让我查一下表结构："},{"type":"toolCall","id":"call00zNFXflO9uvHF88gvemNV1946","name":"exec","arguments":{"command":"mysql -u root -p'YourPassword' -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null || echo \"NEED_PASSWORD\""},"partialArgs":"{\"command\": \"mysql -u root -p'YourPassword' -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null || echo \\\"NEED_PASSWORD\\\"\"}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":320,"output":127,"cacheRead":30976,"cacheWrite":0,"totalTokens":31423,"cost":{"input":0.00031999999999999997,"output":0.000254,"cacheRead":0,"cacheWrite":0,"total":0.000574}},"stopReason":"toolUse","timestamp":1784109835616,"responseId":"6d7b9ef4-7af8-4b71-a201-06dba58c46a8"},{"role":"toolResult","toolCallId":"call00zNFXflO9uvHF88gvemNV1946","toolName":"exec","content":[{"type":"text","text":"NEED_PASSWORD"}],"isError":false,"timestamp":1784109838817},{"role":"assistant","content":[{"type":"toolCall","id":"call00PIuYMg0px60fCGWCIhay2037","name":"exec","arguments":{"command":"mysql -u root -p -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null | head -50","timeout":10},"partialArgs":"{\"command\": \"mysql -u root -p -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null | head -50\", \"timeout\": 10}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":79,"output":90,"cacheRead":31360,"cacheWrite":0,"totalTokens":31529,"cost":{"input":0.000079,"output":0.00017999999999999998,"cacheRead":0,"cacheWrite":0,"total":0.000259}},"stopReason":"toolUse","timestamp":1784109838831,"responseId":"1ac67ea0-15ab-4d4d-8d1a-bec64bd8a1be"},{"role":"toolResult","toolCallId":"call00PIuYMg0px60fCGWCIhay2037","toolName":"exec","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1784109840424},{"role":"assistant","content":[{"type":"text","text":"没有直连数据库的权限，没关系。你看看 `qc_task_inspect` 表里有什么字段可以用来关联到采购到货单？比如：\n\n- `arrival_no`（到货单号）\n- `src_bill_no` / `source_no`（来源单号）\n- `order_no`（采购订单号）\n- 或者其它什么字段？\n\n你告诉我关联字段名，我就能直接写出完整的 SQL 了。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":55,"output":92,"cacheRead":31488,"cacheWrite":0,"totalTokens":31635,"cost":{"input":0.000054999999999999995,"output":0.000184,"cacheRead":0,"cacheWrite":0,"total":0.000239}},"stopReason":"stop","timestamp":1784109840437,"responseId":"e2a7cf1e-c246-4d51-b8a5-498bd181dfce"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验\n-- 批量更新 dmp_smes.qc_task_inspect 的 create_time update_time中的日期部分为 对应insp_time","timestamp":1784109869504,"idempotencyKey":"31a50ea4-daa6-44a6-b525-6e085ebd2335:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"啊，看明白了！你的意思是 **直接用 `insp_time` 作为日期源**，不需要关联到货单：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单汇总\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|--------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 否 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（关联主表） | 是 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 否 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 否 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（关联主表） | 是 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 否 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（关联主表） | 是 |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | 否 |\n\n还有要处理的表吗？一起搞定 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":242,"output":471,"cacheRead":31616,"cacheWrite":0,"totalTokens":32329,"cost":{"input":0.000242,"output":0.0009419999999999999,"cacheRead":0,"cacheWrite":0,"total":0.001184}},"stopReason":"stop","timestamp":1784109870180,"responseId":"0bddd8b3-54ef-4280-b497-c5f6e7c4c117"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in set bill_date='2026-01-23',completed_at='2026-01-24 10:33:27', create_time='2026-01-23 09:56:17',update_time='2026-01-24 10:33:27' where stock_in_no='PE2026000002' and ecid ='hsjm';\n把时间等于最后入库时间。\n-- 采购入库主表\n-- 批量更新 dmp_serp.dmp_im_stock_in 的 create_time update_time中的日期部分为 对应的completed_at","timestamp":1784109898245,"idempotencyKey":"19ea56c9-af6f-4a6e-8331-4c25e67fc817:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `completed_at`（最后入库时间）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（9个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|:----:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n\n还继续有吗？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":229,"output":499,"cacheRead":32256,"cacheWrite":0,"totalTokens":32984,"cost":{"input":0.00022899999999999998,"output":0.000998,"cacheRead":0,"cacheWrite":0,"total":0.001227}},"stopReason":"stop","timestamp":1784109898887,"responseId":"4df6ab45-0f41-4730-9b14-34965a8d2fc5"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in_out_flow_detail set stock_date='2026-01-24',bill_date='2026-01-23',update_time='2026-01-24 09:12:43',create_time='2026-01-23 09:46:37' where flow_no='SIO20260410000001' and ecid ='hsjm';\n\n把时间等于最后入库时间。\n-- 采购出入库记录\n-- 批量更新 dmp_serp.dmp_im_stock_in_out_flow_detail 的 create_time update_time中的日期部分为 对应的stock_date","timestamp":1784109928282,"idempotencyKey":"fc11b4ae-ecb7-44e7-b501-01b59e37bf0c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `stock_date`：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in_out_flow_detail\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（10个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n\n还有吗？一次全整完，然后我给你生成一个**完整的 SQL 脚本文件**，方便你一次性执行 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":247,"output":551,"cacheRead":32896,"cacheWrite":0,"totalTokens":33694,"cost":{"input":0.000247,"output":0.001102,"cacheRead":0,"cacheWrite":0,"total":0.001349}},"stopReason":"stop","timestamp":1784109928948,"responseId":"530e1437-c5c6-4d13-9bd9-ceb4ee9ee99d"},{"role":"user","content":"update dmp_serp.dmp_im_stock_out set bill_date='2026-01-10',delivery_at='2026-01-25 10:26:19', create_time='2026-01-10 11:03:04', update_time='2026-01-25 10:26:19' where stock_out_no='PD2026000127' and ecid='hsjm';\n把时间等于单据日期。\n-- 生产领料单\n-- 批量更新 dmp_serp.dmp_im_stock_out 的 create_time update_time中的日期部分为 对应的bill_date","timestamp":1784109964929,"idempotencyKey":"cce96fb1-3bfc-4883-adaf-9111e6c44dd2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `bill_date`（单据日期）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_out\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（11个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n\n继续还是可以帮你生成完整脚本了？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":185,"output":566,"cacheRead":33664,"cacheWrite":0,"totalTokens":34415,"cost":{"input":0.000185,"output":0.001132,"cacheRead":0,"cacheWrite":0,"total":0.001317}},"stopReason":"stop","timestamp":1784109965649,"responseId":"46255802-137d-4009-afcd-6da8548f271b"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in_out_flow_detail set stock_date='2026-04-05',bill_date='2026-03-21',update_time='2026-04-05 14:07:09',create_time='2026-03-21 12:11:27' where flow_no='SIO20260410000236' and ecid ='hsjm';\n把时间等于单据日期。\n-- -领料出库记录\n-- 批量更新 dmp_serp.dmp_im_stock_in_out_flow_detail 的 create_time update_time中的日期部分为 对应的stock_date","timestamp":1784109993896,"idempotencyKey":"90f480c3-711d-4afa-8813-526c1cba7146:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"这个表之前已经处理过了（序号10），但之前的日期源是 `stock_date`（你说\"时间等于最后入库时间\"），现在这个你说\"时间等于单据日期\"。\n\n那我看看——同一个表 `dmp_im_stock_in_out_flow_detail`，之前是入库记录用 `stock_date`，现在是出库记录也用 `stock_date`，其实是一样的对吧？\n\n那我保持之前的脚本不变（用 `stock_date` 作为日期源），它已经覆盖了这个表的所有 `ecid = 'hsjm'` 记录：\n\n```sql\n-- 已在序号10中覆盖，无需重复\n```\n\n不过如果你想**区分入库和出库**来用不同的日期源，那就需要告诉我用什么字段来区分（比如单据类型字段）。\n\n还是说这个表统一用 `stock_date` 就行了？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":270,"output":172,"cacheRead":34304,"cacheWrite":0,"totalTokens":34746,"cost":{"input":0.00027,"output":0.00034399999999999996,"cacheRead":0,"cacheWrite":0,"total":0.000614}},"stopReason":"stop","timestamp":1784109994584,"responseId":"0e44ed7f-eb7e-4ba0-a1c8-3045b209ec87"},{"role":"user","content":"UPDATE dmp_smes.dmp_me_work_operate_record_detail SET stock_in_date ='2026-02-07',report_date ='2026-02-06 14:06:18',create_time ='2026-02-06 14:06:18',update_time='2026-02-06 14:06:18' WHERE batch_no='MSN00000919' AND ecid ='hsjm';\n\n把时间等于报工日期。\n-- 生产报工记录\n-- 批量更新 dmp_smes.dmp_me_work_operate_record_detail 的 create_time update_time中的日期部分为 对应的report_date","timestamp":1784110030260,"idempotencyKey":"18cd925e-1adf-452f-a337-09bcf00c489c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `report_date`（报工日期）：\n\n```sql\nUPDATE dmp_smes.dmp_me_work_operate_record_detail\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(report_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(report_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（12个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n| 12 | `dmp_me_work_operate_record_detail` | `dmp_smes` | `report_date` | ❌ |\n\n还有吗？差不多了吧，要不要我帮你生成一个**完整的 SQL 脚本文件**？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":223,"output":613,"cacheRead":34688,"cacheWrite":0,"totalTokens":35524,"cost":{"input":0.000223,"output":0.0012259999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0014489999999999998}},"stopReason":"stop","timestamp":1784110031005,"responseId":"05098369-82e0-49aa-8fb8-ace75f94ba2c"}],"imagesCount":0}}
|
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{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","source":"runtime","type":"model.completed","ts":"2026-07-15T10:07:46.309Z","seq":5,"sourceSeq":103,"sessionId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","sessionKey":"agent:main:dashboard:2fdf88e4-fa3f-46c2-b547-384e2c048b11","runId":"b2248248-f715-42f6-9b39-d10f30b2d7c2","workspaceDir":"/home/yangxuan/.openclaw/workspace","provider":"deepseek","modelId":"deepseek-v4-flash","modelApi":"openai-completions","data":{"aborted":false,"externalAbort":false,"timedOut":false,"idleTimedOut":false,"timedOutDuringCompaction":false,"timedOutDuringToolExecution":false,"timedOutByRunBudget":false,"promptErrorSource":null,"usage":{"input":222,"output":636,"cacheRead":35456,"total":36314},"promptCache":{"lastCallUsage":{"input":222,"output":636,"cacheRead":35456,"cacheWrite":0,"total":36314},"lastCacheTouchAt":1784110062026},"compactionCount":0,"assistantTexts":["之前序号9用的 `completed_at`，现在改成用 `bill_date`。以你最新的要求为准，更新脚本：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 最终更新清单（12个表，已按最新要求修正）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `bill_date` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n| 12 | `dmp_me_work_operate_record_detail` | `dmp_smes` | `report_date` | ❌ |\n\n还要继续加表吗？还是我帮你把这 12 条 SQL 生成一个完整的脚本文件，方便你一键执行？😄"],"finalPromptText":"update dmp_serp.dmp_im_stock_in set bill_date='2026-02-06',completed_at='2026-02-07 11:13:38', create_time='2026-02-06 14:06:18',update_time='2026-02-07 11:13:38' where stock_in_no='PI2604100002' and ecid ='hsjm';\n\n把时间等于单据日期。\n-- 生产入库单\n-- 批量更新 dmp_serp.dmp_im_stock_in 的 create_time update_time中的日期部分为 对应的bill_date","messagesSnapshot":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate \n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","timestamp":1784109538113,"idempotencyKey":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"},{"role":"user","content":"保留原时分秒，只改日期部分\nUPDATE dmp_spom.dmp_mrp_main_plan_task SET plan_start_time='2026-07-07 11:03:04',create_time='2026-07-07 10:58:04',update_time='2026-07-07 11:03:04' WHERE ecid='kanda' AND plan_no='PLAN2026071414255193535522';\n-- 物料计划主表\n-- 批量更新 dmp_spom.dmp_mrp_main_plan_task 的 create_time update_time中的日期部分为 对应的plan_start_time","timestamp":1784109596434,"idempotencyKey":"7c28a842-8a9f-4cc4-9094-1298d4ce1a5c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**物料计划主表 `dmp_mrp_main_plan_task`**，要把 `create_time` 和 `update_time` 的日期部分改为对应的 `plan_start_time`，保留原时分秒。\n\n## 更新脚本\n\n```sql\nUPDATE dmp_spom.dmp_mrp_main_plan_task\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'kanda';\n```\n\n范围条件？我看你前面说的是\"计划开始时间是7月份的数据\"，但 `plan_start_time` 看样例已经是 7 月份。你对范围有要求吗？比如：\n\n```sql\n-- 如果只要 plan_start_time 在7月份的数据\nAND plan_start_time >= '2026-07-01' AND plan_start_time < '2026-08-01'\n\n-- 或者只要 plan_start_time 日期和 create_time 日期不一致的（避免无意义更新）\nAND DATE(plan_start_time) != DATE(create_time)\n```\n\n需要加范围条件吗？还是直接全量更新 `ecid = 'kanda'` 的所有记录？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":1021,"output":340,"cacheRead":26880,"cacheWrite":0,"totalTokens":28241,"cost":{"input":0.001021,"output":0.0006799999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0017009999999999998}},"stopReason":"stop","timestamp":1784109597165,"responseId":"3546056a-f6d1-4805-b0d2-e4d5739d2293"},{"role":"user","content":"采购订单\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37' where ecid = 'hsjm' and order_no ='PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 16:10:47', update_time ='2026-01-12 16:10:47' where ecid = 'hsjm' and order_no ='PO2026000002';\n把 时间等于下单时间。\n-- 采购订单\n-- 批量更新 dmp_serp.dmp_mc_purchase_order 的 create_time update_time中的日期部分为 对应的order_date\n\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\n把 时间等于下单时间。\n\n-- 采购明细表\n-- 批量更新 dmp_serp.dmp_mc_purchase_order_detail 的 create_time update_time中的日期部分为 对应的order_date","timestamp":1784109736511,"idempotencyKey":"dea79fe3-9e82-4fcc-932b-78fe7ffb7ea2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，两个表一起处理，都是**采购订单**相关，用 `order_date` 作为日期源。\n\n## 采购订单主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购订单明细表\n\n明细表需要通过 `order_no` 和 `ecid` 关联主表获取 `order_date`：\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order_detail pd\nJOIN dmp_serp.dmp_mc_purchase_order po \n ON pd.ecid = po.ecid AND pd.order_no = po.order_no\nSET \n pd.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pd.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE pd.ecid = 'hsjm';\n```\n\n同样你提到的 **plan_arrival_date**——明细表里也有这个字段，看你样例里也在改它。但你的需求描述里只提了 `create_time` 和 `update_time`，`plan_arrival_date` 是否需要基于主表的 `plan_arrival_date` 同步更新？如果需要，可以加上：\n\n```sql\n-- 在明细表的 SET 中加上 plan_arrival_date 同步\n pd.plan_arrival_date = po.plan_arrival_date,\n```\n\n---\n\n汇总一下你到目前为止的更新清单：\n\n| 序号 | 表 | 日期源字段 |\n|------|-----|-----------|\n| 1 | `dmp_serp.dmp_om_order` | `om_orderdate` |\n| 2 | `dmp_serp.dmp_om_productinfo` | 关联主表 `om_orderdate` |\n| 3 | `dmp_spom.dmp_mrp_main_plan_task` | `plan_start_time` |\n| 4 | `dmp_serp.dmp_mc_purchase_order` | `order_date` |\n| 5 | `dmp_serp.dmp_mc_purchase_order_detail` | 关联主表 `order_date` |\n\n还有其他表要处理吗？一次性都帮你搞定 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":537,"output":666,"cacheRead":28160,"cacheWrite":0,"totalTokens":29363,"cost":{"input":0.0005369999999999999,"output":0.0013319999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0018689999999999998}},"stopReason":"stop","timestamp":1784109737239,"responseId":"4b7762d3-e202-4784-90ea-1934b8437ee9"},{"role":"user","content":"采购到货\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 14:59:11', update_time = '2026-01-22 14:59:11' where ecid = 'hsjm' and arrival_no = 'PAD2026000001';\n\n\n把 时间等于送货时间。\n-- 采购到货主表\n\n\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\n\n把 时间等于送货时间。\n-- 采购到货明细","timestamp":1784109773108,"idempotencyKey":"c1f0893e-59e7-4e66-8ebf-c96466a88991:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `ship_date`（送货时间/发货时间）。\n\n## 采购到货主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购到货明细表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival_detail ad\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON ad.ecid = a.ecid AND ad.arrival_no = a.arrival_no\nSET \n ad.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n ad.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ad.ecid = 'hsjm';\n```\n\n不过我看你的例子里，`ship_date` 和 `arrival_date` 都是 `'2026-01-22'`（同一天）。你说\"时间等于**送货时间**\"，那就是用 `ship_date` 作为日期源，没错吧？还是说你想用 `arrival_date`（到货时间）？\n\n---\n\n## 📋 完整更新清单（截至目前）\n\n| 序号 | 表 | 数据库 | 日期源字段 | 关联方式 |\n|------|-----|--------|-----------|---------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 直接更新 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate` | JOIN 主表 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 直接更新 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 直接更新 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date` | JOIN 主表 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 直接更新 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date` | JOIN 主表 |\n\n还继续有吗？一次性整完 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":427,"output":719,"cacheRead":29312,"cacheWrite":0,"totalTokens":30458,"cost":{"input":0.00042699999999999997,"output":0.001438,"cacheRead":0,"cacheWrite":0,"total":0.001865}},"stopReason":"stop","timestamp":1784109773806,"responseId":"8409c206-8436-4c31-93df-a6c9c78ea7a5"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验","timestamp":1784109808938,"idempotencyKey":"4b7a78ce-766c-439b-8784-ec9eef3f92ac:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**来料检验表**，需要关联**采购到货单**获取 `ship_date`。\n\n关联关系：`qc_task_inspect` 通过某个字段关联到采购到货单？我先看看常见关联方式——通常来料检验单会记录 `arrival_no`（到货单号）和 `ecid`。\n\n如果 `qc_task_inspect` 里有 `arrival_no` 字段，关联到 `dmp_mc_purchase_arrival`：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect qi\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON qi.ecid = a.ecid AND qi.arrival_no = a.arrival_no\nSET \n qi.insp_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.insp_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE qi.ecid = 'hsjm';\n```\n\n不过我需要确认一下——`qc_task_inspect` 里**关联采购到货单的字段名是什么**？常见的有：\n- `arrival_no` — 到货单号\n- `src_bill_no` — 来源单据号\n\n你能看看表结构确认一下关联字段吗？或者直接告诉我 `qc_task_inspect` 里哪个字段存的是到货单号就行。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":317,"output":444,"cacheRead":30336,"cacheWrite":0,"totalTokens":31097,"cost":{"input":0.000317,"output":0.000888,"cacheRead":0,"cacheWrite":0,"total":0.001205}},"stopReason":"stop","timestamp":1784109809545,"responseId":"a97cc980-d1b1-4640-9631-1a5bc07b2155"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验 只有主表","timestamp":1784109834801,"idempotencyKey":"1b1a78a5-b104-491c-8c1a-3388b55520a1:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"只有主表，没有关联明细。那 `qc_task_inspect` 直接用某个字段关联到采购到货单获取 `ship_date`。我需要先看看这个表里有什么关联字段。\n\n让我查一下表结构："},{"type":"toolCall","id":"call00zNFXflO9uvHF88gvemNV1946","name":"exec","arguments":{"command":"mysql -u root -p'YourPassword' -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null || echo \"NEED_PASSWORD\""},"partialArgs":"{\"command\": \"mysql -u root -p'YourPassword' -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null || echo \\\"NEED_PASSWORD\\\"\"}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":320,"output":127,"cacheRead":30976,"cacheWrite":0,"totalTokens":31423,"cost":{"input":0.00031999999999999997,"output":0.000254,"cacheRead":0,"cacheWrite":0,"total":0.000574}},"stopReason":"toolUse","timestamp":1784109835616,"responseId":"6d7b9ef4-7af8-4b71-a201-06dba58c46a8"},{"role":"toolResult","toolCallId":"call00zNFXflO9uvHF88gvemNV1946","toolName":"exec","content":[{"type":"text","text":"NEED_PASSWORD"}],"isError":false,"timestamp":1784109838817},{"role":"assistant","content":[{"type":"toolCall","id":"call00PIuYMg0px60fCGWCIhay2037","name":"exec","arguments":{"command":"mysql -u root -p -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null | head -50","timeout":10},"partialArgs":"{\"command\": \"mysql -u root -p -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null | head -50\", \"timeout\": 10}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":79,"output":90,"cacheRead":31360,"cacheWrite":0,"totalTokens":31529,"cost":{"input":0.000079,"output":0.00017999999999999998,"cacheRead":0,"cacheWrite":0,"total":0.000259}},"stopReason":"toolUse","timestamp":1784109838831,"responseId":"1ac67ea0-15ab-4d4d-8d1a-bec64bd8a1be"},{"role":"toolResult","toolCallId":"call00PIuYMg0px60fCGWCIhay2037","toolName":"exec","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1784109840424},{"role":"assistant","content":[{"type":"text","text":"没有直连数据库的权限，没关系。你看看 `qc_task_inspect` 表里有什么字段可以用来关联到采购到货单？比如：\n\n- `arrival_no`（到货单号）\n- `src_bill_no` / `source_no`（来源单号）\n- `order_no`（采购订单号）\n- 或者其它什么字段？\n\n你告诉我关联字段名，我就能直接写出完整的 SQL 了。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":55,"output":92,"cacheRead":31488,"cacheWrite":0,"totalTokens":31635,"cost":{"input":0.000054999999999999995,"output":0.000184,"cacheRead":0,"cacheWrite":0,"total":0.000239}},"stopReason":"stop","timestamp":1784109840437,"responseId":"e2a7cf1e-c246-4d51-b8a5-498bd181dfce"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验\n-- 批量更新 dmp_smes.qc_task_inspect 的 create_time update_time中的日期部分为 对应insp_time","timestamp":1784109869504,"idempotencyKey":"31a50ea4-daa6-44a6-b525-6e085ebd2335:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"啊，看明白了！你的意思是 **直接用 `insp_time` 作为日期源**，不需要关联到货单：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单汇总\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|--------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 否 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（关联主表） | 是 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 否 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 否 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（关联主表） | 是 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 否 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（关联主表） | 是 |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | 否 |\n\n还有要处理的表吗？一起搞定 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":242,"output":471,"cacheRead":31616,"cacheWrite":0,"totalTokens":32329,"cost":{"input":0.000242,"output":0.0009419999999999999,"cacheRead":0,"cacheWrite":0,"total":0.001184}},"stopReason":"stop","timestamp":1784109870180,"responseId":"0bddd8b3-54ef-4280-b497-c5f6e7c4c117"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in set bill_date='2026-01-23',completed_at='2026-01-24 10:33:27', create_time='2026-01-23 09:56:17',update_time='2026-01-24 10:33:27' where stock_in_no='PE2026000002' and ecid ='hsjm';\n把时间等于最后入库时间。\n-- 采购入库主表\n-- 批量更新 dmp_serp.dmp_im_stock_in 的 create_time update_time中的日期部分为 对应的completed_at","timestamp":1784109898245,"idempotencyKey":"19ea56c9-af6f-4a6e-8331-4c25e67fc817:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `completed_at`（最后入库时间）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（9个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|:----:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n\n还继续有吗？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":229,"output":499,"cacheRead":32256,"cacheWrite":0,"totalTokens":32984,"cost":{"input":0.00022899999999999998,"output":0.000998,"cacheRead":0,"cacheWrite":0,"total":0.001227}},"stopReason":"stop","timestamp":1784109898887,"responseId":"4df6ab45-0f41-4730-9b14-34965a8d2fc5"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in_out_flow_detail set stock_date='2026-01-24',bill_date='2026-01-23',update_time='2026-01-24 09:12:43',create_time='2026-01-23 09:46:37' where flow_no='SIO20260410000001' and ecid ='hsjm';\n\n把时间等于最后入库时间。\n-- 采购出入库记录\n-- 批量更新 dmp_serp.dmp_im_stock_in_out_flow_detail 的 create_time update_time中的日期部分为 对应的stock_date","timestamp":1784109928282,"idempotencyKey":"fc11b4ae-ecb7-44e7-b501-01b59e37bf0c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `stock_date`：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in_out_flow_detail\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（10个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n\n还有吗？一次全整完，然后我给你生成一个**完整的 SQL 脚本文件**，方便你一次性执行 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":247,"output":551,"cacheRead":32896,"cacheWrite":0,"totalTokens":33694,"cost":{"input":0.000247,"output":0.001102,"cacheRead":0,"cacheWrite":0,"total":0.001349}},"stopReason":"stop","timestamp":1784109928948,"responseId":"530e1437-c5c6-4d13-9bd9-ceb4ee9ee99d"},{"role":"user","content":"update dmp_serp.dmp_im_stock_out set bill_date='2026-01-10',delivery_at='2026-01-25 10:26:19', create_time='2026-01-10 11:03:04', update_time='2026-01-25 10:26:19' where stock_out_no='PD2026000127' and ecid='hsjm';\n把时间等于单据日期。\n-- 生产领料单\n-- 批量更新 dmp_serp.dmp_im_stock_out 的 create_time update_time中的日期部分为 对应的bill_date","timestamp":1784109964929,"idempotencyKey":"cce96fb1-3bfc-4883-adaf-9111e6c44dd2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `bill_date`（单据日期）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_out\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（11个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n\n继续还是可以帮你生成完整脚本了？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":185,"output":566,"cacheRead":33664,"cacheWrite":0,"totalTokens":34415,"cost":{"input":0.000185,"output":0.001132,"cacheRead":0,"cacheWrite":0,"total":0.001317}},"stopReason":"stop","timestamp":1784109965649,"responseId":"46255802-137d-4009-afcd-6da8548f271b"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in_out_flow_detail set stock_date='2026-04-05',bill_date='2026-03-21',update_time='2026-04-05 14:07:09',create_time='2026-03-21 12:11:27' where flow_no='SIO20260410000236' and ecid ='hsjm';\n把时间等于单据日期。\n-- -领料出库记录\n-- 批量更新 dmp_serp.dmp_im_stock_in_out_flow_detail 的 create_time update_time中的日期部分为 对应的stock_date","timestamp":1784109993896,"idempotencyKey":"90f480c3-711d-4afa-8813-526c1cba7146:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"这个表之前已经处理过了（序号10），但之前的日期源是 `stock_date`（你说\"时间等于最后入库时间\"），现在这个你说\"时间等于单据日期\"。\n\n那我看看——同一个表 `dmp_im_stock_in_out_flow_detail`，之前是入库记录用 `stock_date`，现在是出库记录也用 `stock_date`，其实是一样的对吧？\n\n那我保持之前的脚本不变（用 `stock_date` 作为日期源），它已经覆盖了这个表的所有 `ecid = 'hsjm'` 记录：\n\n```sql\n-- 已在序号10中覆盖，无需重复\n```\n\n不过如果你想**区分入库和出库**来用不同的日期源，那就需要告诉我用什么字段来区分（比如单据类型字段）。\n\n还是说这个表统一用 `stock_date` 就行了？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":270,"output":172,"cacheRead":34304,"cacheWrite":0,"totalTokens":34746,"cost":{"input":0.00027,"output":0.00034399999999999996,"cacheRead":0,"cacheWrite":0,"total":0.000614}},"stopReason":"stop","timestamp":1784109994584,"responseId":"0e44ed7f-eb7e-4ba0-a1c8-3045b209ec87"},{"role":"user","content":"UPDATE dmp_smes.dmp_me_work_operate_record_detail SET stock_in_date ='2026-02-07',report_date ='2026-02-06 14:06:18',create_time ='2026-02-06 14:06:18',update_time='2026-02-06 14:06:18' WHERE batch_no='MSN00000919' AND ecid ='hsjm';\n\n把时间等于报工日期。\n-- 生产报工记录\n-- 批量更新 dmp_smes.dmp_me_work_operate_record_detail 的 create_time update_time中的日期部分为 对应的report_date","timestamp":1784110030260,"idempotencyKey":"18cd925e-1adf-452f-a337-09bcf00c489c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `report_date`（报工日期）：\n\n```sql\nUPDATE dmp_smes.dmp_me_work_operate_record_detail\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(report_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(report_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（12个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n| 12 | `dmp_me_work_operate_record_detail` | `dmp_smes` | `report_date` | ❌ |\n\n还有吗？差不多了吧，要不要我帮你生成一个**完整的 SQL 脚本文件**？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":223,"output":613,"cacheRead":34688,"cacheWrite":0,"totalTokens":35524,"cost":{"input":0.000223,"output":0.0012259999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0014489999999999998}},"stopReason":"stop","timestamp":1784110031005,"responseId":"05098369-82e0-49aa-8fb8-ace75f94ba2c"},{"role":"user","content":[{"type":"text","text":"update dmp_serp.dmp_im_stock_in set bill_date='2026-02-06',completed_at='2026-02-07 11:13:38', create_time='2026-02-06 14:06:18',update_time='2026-02-07 11:13:38' where stock_in_no='PI2604100002' and ecid ='hsjm';\n\n把时间等于单据日期。\n-- 生产入库单\n-- 批量更新 dmp_serp.dmp_im_stock_in 的 create_time update_time中的日期部分为 对应的bill_date"}],"timestamp":1784110061995},{"role":"assistant","content":[{"type":"text","text":"之前序号9用的 `completed_at`，现在改成用 `bill_date`。以你最新的要求为准，更新脚本：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 最终更新清单（12个表，已按最新要求修正）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `bill_date` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n| 12 | `dmp_me_work_operate_record_detail` | `dmp_smes` | `report_date` | ❌ |\n\n还要继续加表吗？还是我帮你把这 12 条 SQL 生成一个完整的脚本文件，方便你一键执行？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":222,"output":636,"cacheRead":35456,"cacheWrite":0,"totalTokens":36314,"cost":{"input":0.000222,"output":0.001272,"cacheRead":0,"cacheWrite":0,"total":0.0014939999999999999}},"stopReason":"stop","timestamp":1784110062026,"responseId":"44204c2c-90d6-418f-8e5c-1a5559d966fc"}]}}
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No API keys required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/deep-research-pro/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/deep-research-pro","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/deep-research-pro","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/deep-research-pro/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"diagram-maker","name":"diagram-maker","description":"Create SVG/HTML or Excalidraw diagrams for concepts, architecture, flows, and whiteboards.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"dingtalk-channel-rules","name":"dingtalk-channel-rules","description":"钉钉会话输出规则。在钉钉会话中始终生效。","filePath":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-channel-rules/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-channel-rules","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-channel-rules","origin":"top-level","path":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-channel-rules/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"dingtalk-troubleshoot","name":"dingtalk-troubleshoot","description":"钉钉连接器问题排查。包含 dws CLI 常见错误处理、授权问题排查和连接故障诊断。\n当 dws 命令执行失败、授权异常、连接中断时自动激活。","filePath":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-troubleshoot/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-troubleshoot","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-troubleshoot","origin":"top-level","path":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-troubleshoot/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"docker-essentials","name":"docker-essentials","description":"Essential Docker commands and workflows for container management, image operations, and debugging.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/docker-essentials/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/docker-essentials","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/docker-essentials","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/docker-essentials/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"dws","name":"dws","description":"管理钉钉产品能力(AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/开放平台文档/钉钉文档/钉钉云盘/AI听记/邮箱/在线电子表格/知识库等)。当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报（钉钉日志模版）、读写钉钉文档、上传下载云盘文件、查询听记纪要、收发邮件、读写在线电子表格(axls)、管理钉钉知识库时使用。","filePath":"$OPENCLAW_STATE_DIR/skills/dws/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/skills/dws","source":"openclaw-managed","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/skills/dws","origin":"top-level","path":"$OPENCLAW_STATE_DIR/skills/dws/SKILL.md","scope":"project","source":"openclaw-managed"},"disableModelInvocation":false,"available":true},{"id":"dws-cli","name":"dws-cli","description":"在钉钉会话中通过 dws CLI 管理钉钉产品能力（AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/工作台等）。\n当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报时使用。","filePath":"$OPENCLAW_STATE_DIR/plugin-skills/dws-cli/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dws-cli","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dws-cli","origin":"top-level","path":"$OPENCLAW_STATE_DIR/plugin-skills/dws-cli/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"healthcheck","name":"healthcheck","description":"Audit/harden OpenClaw hosts: SSH, firewall, updates, exposure, backups, disk encryption, gateway security.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"humanizer","name":"humanizer","description":"Remove signs of AI-generated writing from text. Use when editing or reviewing\ntext to make it sound more natural and human-written. Based on Wikipedia's\ncomprehensive \"Signs of AI writing\" guide. Detects and fixes patterns including:\ninflated symbolism, promotional language, superficial -ing analyses, vague\nattributions, em dash overuse, rule of three, AI vocabulary words, negative\nparallelisms, and excessive conjunctive phrases.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"imap-smtp-email","name":"imap-smtp-email","description":"Read and send email via IMAP/SMTP. Check for new/unread messages, fetch content, search mailboxes, mark as read/unread, and send emails with attachments. Supports multiple accounts. Works with any IMAP/SMTP server including Gmail, Outlook, 163.com, vip.163.com, 126.com, vip.126.com, 188.com, and vip.188.com.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"meme-maker","name":"meme-maker","description":"Search meme templates, suggest formats, and generate local or hosted image memes.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"multi-search-engine","name":"multi-search-engine","description":"Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"MySQL","name":"MySQL","description":"Write correct MySQL queries with proper character sets, indexing, transactions, and production patterns.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"news-summary","name":"news-summary","description":"This skill should be used when the user asks for news updates, daily briefings, or what's happening in the world. Fetches news from trusted international RSS feeds and can create voice summaries.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"node-connect","name":"node-connect","description":"Diagnose OpenClaw Android, iOS, or macOS node pairing, QR/setup code, route, auth, and connection failures.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"node-inspect-debugger","name":"node-inspect-debugger","description":"Debug Node.js with node inspect, --inspect, breakpoints, CDP, heap, and CPU profiles.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"obsidian-official-cli","name":"obsidian-official-cli","description":"Work with Obsidian vaults using the official Obsidian CLI (v1.12+). Open, search, create, move, and manage notes from the terminal. Use when working with Obsidian vaults for note management, file operations, searching content, managing tasks, properties, links, plugins, themes, sync operations, or any command-line interaction with Obsidian.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"opencode-controller","name":"opencode-controller","description":"Control and operate Opencode via slash commands. Use this skill to manage sessions, select models, switch agents (plan/build), and coordinate coding through Opencode.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"openspec","name":"openspec","description":"Spec-driven development with OpenSpec CLI. Use when building features, migrations, refactors, or any structured development work. Manages proposal → specs → design → tasks → implementation workflows. Supports custom schemas (TDD, rapid, etc.). Trigger on requests involving feature planning, spec writing, change management, or when /opsx commands are mentioned.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/openspec/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/openspec","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/openspec","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/openspec/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"python-debugpy","name":"python-debugpy","description":"Debug Python with pdb, breakpoint(), post-mortem inspection, and debugpy remote attach.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"qiushi-openclaw-skills","name":"qiushi-openclaw-skills","description":"求是 OpenClaw Skills 是基于毛泽东思想方法论的 AI Agent 技能集合，按照 OpenClaw 技能格式进行改造，旨在为 AI 提供系统化的思考和行动框架。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"requirements-analyst","name":"requirements-analyst","description":"将产品需求转化为前后端可执行的技术规范，输出离线性优先的结构化文档。当用户提出产品需求、PRD、功能描述或模糊想法时自动触发。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"rss-ai-reader","name":"rss-ai-reader","description":"📰 RSS AI 阅读器 — 自动抓取订阅、LLM生成摘要、多渠道推送！\n支持 Claude/OpenAI 生成中文摘要，推送到飞书/Telegram/Email。\n触发条件: 用户要求订阅RSS、监控博客、抓取新闻、生成摘要、设置定时抓取、\n\"帮我订阅\"、\"监控这个网站\"、\"每天推送新闻\"、RSS/Atom feed 相关。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"skill-creator","name":"skill-creator","description":"Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"spike","name":"spike","description":"Run throwaway prototypes to validate feasibility, compare approaches, and report a verdict.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"Spreadsheet & Data Wrangling Master","name":"Spreadsheet & Data Wrangling Master","description":"Complete spreadsheet methodology — data cleanup, transformation, analysis, dashboards, automation, and reporting. Works with CSV, Excel, Google Sheets, or any tabular data. Use when the user needs to clean messy data, build reports, create dashboards, automate recurring spreadsheet tasks, or transform data between formats.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"sql-toolkit","name":"sql-toolkit","description":"Query, design, migrate, and optimize SQL databases. Use when working with SQLite, PostgreSQL, or MySQL — schema design, writing queries, creating migrations, indexing, backup/restore, and debugging slow queries. No ORMs required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"taskflow","name":"taskflow","description":"Coordinate multi-step detached tasks as one durable TaskFlow job with owner context, state, waits, and child tasks.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"taskflow-inbox-triage","name":"taskflow-inbox-triage","description":"Example TaskFlow pattern for inbox triage, intent routing, waiting on replies, and later summaries.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"using-superpowers","name":"using-superpowers","description":"Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"weather","name":"weather","description":"Get current weather and forecasts (no API key required).","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/weather/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/weather","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/weather","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/weather/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"web-search","name":"web-search","description":"This skill should be used when users need to search the web for information, find current content, look up news articles, search for images, or find videos. It uses a self-hosted SearXNG instance to return results in clean, formatted output (text, markdown, or JSON). Use for research, fact-checking, finding recent information, or gathering web resources.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/web-search/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/web-search","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/web-search","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/web-search/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true}]},"prompting":{"skillsPrompt":"\n\nThe following skills provide specialized instructions for specific tasks.\nUse the read tool to load a skill's file when the task matches its description.\nIf a skill's <version> differs from a previous turn, re-read its SKILL.md before using it.\nWhen a skill file references a relative path, resolve it against the skill directory (parent of SKILL.md / dirname of the path) and use that absolute path in tool commands.\n\n<available_skills>\n <skill>\n <name>agent-browser</name>\n <description>Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection</description>\n <location>~/.openclaw/workspace/skills/agent-browser-clawdbot/SKILL.md</location>\n <version>sha256:9643b9c65476eedd</version>\n </skill>\n <skill>\n <name>chinese-calendar</name>\n <description>获取中国日历信息，包括节假日、调休安排、工作日判断。使用 timor.tech API，数据每年自动更新。Use when: 需要判断某天是否是工作日、查询节假日安排、了解调休情况。</description>\n <location>~/.openclaw/workspace/skills/chinese-calendar/SKILL.md</location>\n <version>sha256:40a9ba942647e641</version>\n </skill>\n <skill>\n <name>clawhub</name>\n <description>Search ClawHub for skills when a requested capability is not already available; install, verify, update, publish, or sync skills.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/clawhub/SKILL.md</location>\n <version>sha256:6bb70d95cbd1a545</version>\n </skill>\n <skill>\n <name>Code</name>\n <description>Coding workflow with planning, implementation, verification, and testing for clean software development.</description>\n <location>~/.openclaw/workspace/skills/openclaw-code/SKILL.md</location>\n <version>sha256:f09694134cc55cc0</version>\n </skill>\n <skill>\n <name>database-admin</name>\n <description>Comprehensive database administration, schema management, data operations, and optimization. Use when Codex needs to: (1) Create or modify database tables with proper indexing, (2) Perform bulk data insertions with type safety and constraint handling, (3) Execute complex queries with JOINs, aggregations, and subqueries, (4) Optimize query performance through indexing and execution plan analysis, (5) Manage database backups, restores, and migrations, (6) Handle special data types (BIGINT, UUID, JSONB, enums), (7) Implement transactional safety with ACID compliance, or (8) Debug and resolve database errors including constraint violations, type mismatches, and foreign key issues</description>\n <location>~/.openclaw/workspace/skills/database-admin/SKILL.md</location>\n <version>sha256:7649e43727f2fb8b</version>\n </skill>\n <skill>\n <name>database-schema-designer</name>\n <description>Database Schema Designer</description>\n <location>~/.openclaw/workspace/skills/database-schema-designer/SKILL.md</location>\n <version>sha256:3f2282ec8135dfdf</version>\n </skill>\n <skill>\n <name>db-query</name>\n <description>Query project databases with automatic SSH tunnel management. Use when you need to execute SQL queries against configured databases, especially those accessible only via SSH tunnels. Automatically manages SSH connection lifecycle (establishes tunnel before query, closes after). Supports multiple databases distinguished by description/name from config file.</description>\n <location>~/.openclaw/workspace/skills/db-query/SKILL.md</location>\n <version>sha256:eaffe1e617f2b8f2</version>\n </skill>\n <skill>\n <name>db-schema</name>\n <description>Generate database schemas, migrations, and ERD diagrams from plain English descriptions — supports PostgreSQL, MySQL, SQLite, and MongoDB with proper indexes and constraints.</description>\n <location>~/.openclaw/workspace/skills/db-schema-gen/SKILL.md</location>\n <version>sha256:c511ce8bb306f227</version>\n </skill>\n <skill>\n <name>deep-research-pro</name>\n <description>Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.</description>\n <location>~/.openclaw/workspace/skills/deep-research-pro/SKILL.md</location>\n <version>sha256:a780f8bbec442198</version>\n </skill>\n <skill>\n <name>diagram-maker</name>\n <description>Create SVG/HTML or Excalidraw diagrams for concepts, architecture, flows, and whiteboards.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker/SKILL.md</location>\n <version>sha256:6195e03fcb04a1a6</version>\n </skill>\n <skill>\n <name>dingtalk-channel-rules</name>\n <description>钉钉会话输出规则。在钉钉会话中始终生效。</description>\n <location>~/.openclaw/plugin-skills/dingtalk-channel-rules/SKILL.md</location>\n <version>sha256:4abd7ff39fd8ab23</version>\n </skill>\n <skill>\n <name>dingtalk-troubleshoot</name>\n <description>钉钉连接器问题排查。包含 dws CLI 常见错误处理、授权问题排查和连接故障诊断。\n当 dws 命令执行失败、授权异常、连接中断时自动激活。</description>\n <location>~/.openclaw/plugin-skills/dingtalk-troubleshoot/SKILL.md</location>\n <version>sha256:831e1260e77bcf9b</version>\n </skill>\n <skill>\n <name>docker-essentials</name>\n <description>Essential Docker commands and workflows for container management, image operations, and debugging.</description>\n <location>~/.openclaw/workspace/skills/docker-essentials/SKILL.md</location>\n <version>sha256:bf8120febd5275b0</version>\n </skill>\n <skill>\n <name>dws</name>\n <description>管理钉钉产品能力(AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/开放平台文档/钉钉文档/钉钉云盘/AI听记/邮箱/在线电子表格/知识库等)。当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报（钉钉日志模版）、读写钉钉文档、上传下载云盘文件、查询听记纪要、收发邮件、读写在线电子表格(axls)、管理钉钉知识库时使用。</description>\n <location>~/.openclaw/skills/dws/SKILL.md</location>\n <version>sha256:25f131a2e41eeeca</version>\n </skill>\n <skill>\n <name>dws-cli</name>\n <description>在钉钉会话中通过 dws CLI 管理钉钉产品能力（AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/工作台等）。\n当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报时使用。</description>\n <location>~/.openclaw/plugin-skills/dws-cli/SKILL.md</location>\n <version>sha256:e1e0cb89e56c9a8d</version>\n </skill>\n <skill>\n <name>healthcheck</name>\n <description>Audit/harden OpenClaw hosts: SSH, firewall, updates, exposure, backups, disk encryption, gateway security.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck/SKILL.md</location>\n <version>sha256:518ec6e0482cf1c7</version>\n </skill>\n <skill>\n <name>humanizer</name>\n <description>Remove signs of AI-generated writing from text. Use when editing or reviewing\ntext to make it sound more natural and human-written. Based on Wikipedia's\ncomprehensive "Signs of AI writing" guide. Detects and fixes patterns including:\ninflated symbolism, promotional language, superficial -ing analyses, vague\nattributions, em dash overuse, rule of three, AI vocabulary words, negative\nparallelisms, and excessive conjunctive phrases.</description>\n <location>~/.openclaw/workspace/skills/humanizer/SKILL.md</location>\n <version>sha256:d7ce483d368e4301</version>\n </skill>\n <skill>\n <name>imap-smtp-email</name>\n <description>Read and send email via IMAP/SMTP. Check for new/unread messages, fetch content, search mailboxes, mark as read/unread, and send emails with attachments. Supports multiple accounts. Works with any IMAP/SMTP server including Gmail, Outlook, 163.com, vip.163.com, 126.com, vip.126.com, 188.com, and vip.188.com.</description>\n <location>~/.openclaw/workspace/skills/imap-smtp-email/SKILL.md</location>\n <version>sha256:01345a894f2863a4</version>\n </skill>\n <skill>\n <name>meme-maker</name>\n <description>Search meme templates, suggest formats, and generate local or hosted image memes.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md</location>\n <version>sha256:8b8832f9f0f58b16</version>\n </skill>\n <skill>\n <name>multi-search-engine</name>\n <description>Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required.</description>\n <location>~/.openclaw/workspace/skills/multi-search-engine/SKILL.md</location>\n <version>sha256:ef2d2706e82ad0fc</version>\n </skill>\n <skill>\n <name>MySQL</name>\n <description>Write correct MySQL queries with proper character sets, indexing, transactions, and production patterns.</description>\n <location>~/.openclaw/workspace/skills/MySQL/SKILL.md</location>\n <version>sha256:97003e1d9502f459</version>\n </skill>\n <skill>\n <name>news-summary</name>\n <description>This skill should be used when the user asks for news updates, daily briefings, or what's happening in the world. Fetches news from trusted international RSS feeds and can create voice summaries.</description>\n <location>~/.openclaw/workspace/skills/news-summary/SKILL.md</location>\n <version>sha256:1b4c45b56f567567</version>\n </skill>\n <skill>\n <name>node-connect</name>\n <description>Diagnose OpenClaw Android, iOS, or macOS node pairing, QR/setup code, route, auth, and connection failures.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md</location>\n <version>sha256:cc39026fd84e5cfa</version>\n </skill>\n <skill>\n <name>node-inspect-debugger</name>\n <description>Debug Node.js with node inspect, --inspect, breakpoints, CDP, heap, and CPU profiles.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md</location>\n <version>sha256:50d2f6828eaf4bbf</version>\n </skill>\n <skill>\n <name>obsidian-official-cli</name>\n <description>Work with Obsidian vaults using the official Obsidian CLI (v1.12+). Open, search, create, move, and manage notes from the terminal. Use when working with Obsidian vaults for note management, file operations, searching content, managing tasks, properties, links, plugins, themes, sync operations, or any command-line interaction with Obsidian.</description>\n <location>~/.openclaw/workspace/skills/obsidian-official-cli/SKILL.md</location>\n <version>sha256:d9c66873957818a1</version>\n </skill>\n <skill>\n <name>opencode-controller</name>\n <description>Control and operate Opencode via slash commands. Use this skill to manage sessions, select models, switch agents (plan/build), and coordinate coding through Opencode.</description>\n <location>~/.openclaw/workspace/skills/opencode-controller/SKILL.md</location>\n <version>sha256:6535df08ba8b0bbc</version>\n </skill>\n <skill>\n <name>openspec</name>\n <description>Spec-driven development with OpenSpec CLI. Use when building features, migrations, refactors, or any structured development work. Manages proposal → specs → design → tasks → implementation workflows. Supports custom schemas (TDD, rapid, etc.). Trigger on requests involving feature planning, spec writing, change management, or when /opsx commands are mentioned.</description>\n <location>~/.openclaw/workspace/skills/openspec/SKILL.md</location>\n <version>sha256:720f832d1879e281</version>\n </skill>\n <skill>\n <name>python-debugpy</name>\n <description>Debug Python with pdb, breakpoint(), post-mortem inspection, and debugpy remote attach.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md</location>\n <version>sha256:bfb1891204b67260</version>\n </skill>\n <skill>\n <name>qiushi-openclaw-skills</name>\n <description>求是 OpenClaw Skills 是基于毛泽东思想方法论的 AI Agent 技能集合，按照 OpenClaw 技能格式进行改造，旨在为 AI 提供系统化的思考和行动框架。</description>\n <location>~/.openclaw/workspace/skills/qiushi-openclaw-skill/SKILL.md</location>\n <version>sha256:b21d933b7f61584d</version>\n </skill>\n <skill>\n <name>requirements-analyst</name>\n <description>将产品需求转化为前后端可执行的技术规范，输出离线性优先的结构化文档。当用户提出产品需求、PRD、功能描述或模糊想法时自动触发。</description>\n <location>~/.openclaw/workspace/skills/requirements-analyst/SKILL.md</location>\n <version>sha256:f766e6b7b585e7e8</version>\n </skill>\n <skill>\n <name>rss-ai-reader</name>\n <description>📰 RSS AI 阅读器 — 自动抓取订阅、LLM生成摘要、多渠道推送！\n支持 Claude/OpenAI 生成中文摘要，推送到飞书/Telegram/Email。\n触发条件: 用户要求订阅RSS、监控博客、抓取新闻、生成摘要、设置定时抓取、\n"帮我订阅"、"监控这个网站"、"每天推送新闻"、RSS/Atom feed 相关。</description>\n <location>~/.openclaw/workspace/skills/rss-ai-reader/SKILL.md</location>\n <version>sha256:0abcc8438f644cdb</version>\n </skill>\n <skill>\n <name>skill-creator</name>\n <description>Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md</location>\n <version>sha256:d15b25d332d835eb</version>\n </skill>\n <skill>\n <name>spike</name>\n <description>Run throwaway prototypes to validate feasibility, compare approaches, and report a verdict.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md</location>\n <version>sha256:1258cde2d0e53267</version>\n </skill>\n <skill>\n <name>Spreadsheet & Data Wrangling Master</name>\n <description>Complete spreadsheet methodology — data cleanup, transformation, analysis, dashboards, automation, and reporting. Works with CSV, Excel, Google Sheets, or any tabular data. Use when the user needs to clean messy data, build reports, create dashboards, automate recurring spreadsheet tasks, or transform data between formats.</description>\n <location>~/.openclaw/workspace/skills/afrexai-spreadsheet-master/SKILL.md</location>\n <version>sha256:6505a92ae50c1cdd</version>\n </skill>\n <skill>\n <name>sql-toolkit</name>\n <description>Query, design, migrate, and optimize SQL databases. Use when working with SQLite, PostgreSQL, or MySQL — schema design, writing queries, creating migrations, indexing, backup/restore, and debugging slow queries. No ORMs required.</description>\n <location>~/.openclaw/workspace/skills/sql-toolkit/SKILL.md</location>\n <version>sha256:515ecf904449a3cd</version>\n </skill>\n <skill>\n <name>taskflow</name>\n <description>Coordinate multi-step detached tasks as one durable TaskFlow job with owner context, state, waits, and child tasks.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md</location>\n <version>sha256:d8b6a48d329aef0a</version>\n </skill>\n <skill>\n <name>taskflow-inbox-triage</name>\n <description>Example TaskFlow pattern for inbox triage, intent routing, waiting on replies, and later summaries.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md</location>\n <version>sha256:1fe28cd924d8ae2d</version>\n </skill>\n <skill>\n <name>using-superpowers</name>\n <description>Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions</description>\n <location>~/.openclaw/workspace/skills/using-superpowers/SKILL.md</location>\n <version>sha256:81d921b16502091f</version>\n </skill>\n <skill>\n <name>weather</name>\n <description>Get current weather and forecasts (no API key required).</description>\n <location>~/.openclaw/workspace/skills/weather/SKILL.md</location>\n <version>sha256:1ca0c8d768ad603e</version>\n </skill>\n <skill>\n <name>web-search</name>\n <description>This skill should be used when users need to search the web for information, find current content, look up news articles, search for images, or find videos. 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set create_time ='2026-02-08 10:00:40',update_time ='2026-02-08 10:00:40' where ecid ='hsjm' and om_deliverorder ='FHO2026000002';\nupdate dmp_serp.dmp_om_deliver_productinfo set create_time ='2026-02-08 16:17:09',update_time ='2026-02-08 16:17:09' where ecid ='hsjm' and om_deliverorder ='FHO2026000003';\n把时间等于要求发货日期。\n-- 发货单明细\n-- 批量更新 dmp_serp.dmp_om_deliver_productinfo 的 create_time update_time中的日期部分为 对应的om_deliverdate\n-- 根据 dmp_serp.dmp_om_deliver_productinfo.om_deliverorder ecid 关联 dmp_serp.dmp_om_deliver_order.om_deliverorder ecid","messages":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate \n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","timestamp":1784109538113,"idempotencyKey":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"},{"role":"user","content":"保留原时分秒，只改日期部分\nUPDATE dmp_spom.dmp_mrp_main_plan_task SET plan_start_time='2026-07-07 11:03:04',create_time='2026-07-07 10:58:04',update_time='2026-07-07 11:03:04' WHERE ecid='kanda' AND plan_no='PLAN2026071414255193535522';\n-- 物料计划主表\n-- 批量更新 dmp_spom.dmp_mrp_main_plan_task 的 create_time update_time中的日期部分为 对应的plan_start_time","timestamp":1784109596434,"idempotencyKey":"7c28a842-8a9f-4cc4-9094-1298d4ce1a5c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**物料计划主表 `dmp_mrp_main_plan_task`**，要把 `create_time` 和 `update_time` 的日期部分改为对应的 `plan_start_time`，保留原时分秒。\n\n## 更新脚本\n\n```sql\nUPDATE dmp_spom.dmp_mrp_main_plan_task\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'kanda';\n```\n\n范围条件？我看你前面说的是\"计划开始时间是7月份的数据\"，但 `plan_start_time` 看样例已经是 7 月份。你对范围有要求吗？比如：\n\n```sql\n-- 如果只要 plan_start_time 在7月份的数据\nAND plan_start_time >= '2026-07-01' AND plan_start_time < '2026-08-01'\n\n-- 或者只要 plan_start_time 日期和 create_time 日期不一致的（避免无意义更新）\nAND DATE(plan_start_time) != DATE(create_time)\n```\n\n需要加范围条件吗？还是直接全量更新 `ecid = 'kanda'` 的所有记录？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":1021,"output":340,"cacheRead":26880,"cacheWrite":0,"totalTokens":28241,"cost":{"input":0.001021,"output":0.0006799999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0017009999999999998}},"stopReason":"stop","timestamp":1784109597165,"responseId":"3546056a-f6d1-4805-b0d2-e4d5739d2293"},{"role":"user","content":"采购订单\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37' where ecid = 'hsjm' and order_no ='PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 16:10:47', update_time ='2026-01-12 16:10:47' where ecid = 'hsjm' and order_no ='PO2026000002';\n把 时间等于下单时间。\n-- 采购订单\n-- 批量更新 dmp_serp.dmp_mc_purchase_order 的 create_time update_time中的日期部分为 对应的order_date\n\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\n把 时间等于下单时间。\n\n-- 采购明细表\n-- 批量更新 dmp_serp.dmp_mc_purchase_order_detail 的 create_time update_time中的日期部分为 对应的order_date","timestamp":1784109736511,"idempotencyKey":"dea79fe3-9e82-4fcc-932b-78fe7ffb7ea2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，两个表一起处理，都是**采购订单**相关，用 `order_date` 作为日期源。\n\n## 采购订单主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购订单明细表\n\n明细表需要通过 `order_no` 和 `ecid` 关联主表获取 `order_date`：\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order_detail pd\nJOIN dmp_serp.dmp_mc_purchase_order po \n ON pd.ecid = po.ecid AND pd.order_no = po.order_no\nSET \n pd.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pd.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE pd.ecid = 'hsjm';\n```\n\n同样你提到的 **plan_arrival_date**——明细表里也有这个字段，看你样例里也在改它。但你的需求描述里只提了 `create_time` 和 `update_time`，`plan_arrival_date` 是否需要基于主表的 `plan_arrival_date` 同步更新？如果需要，可以加上：\n\n```sql\n-- 在明细表的 SET 中加上 plan_arrival_date 同步\n pd.plan_arrival_date = po.plan_arrival_date,\n```\n\n---\n\n汇总一下你到目前为止的更新清单：\n\n| 序号 | 表 | 日期源字段 |\n|------|-----|-----------|\n| 1 | `dmp_serp.dmp_om_order` | `om_orderdate` |\n| 2 | `dmp_serp.dmp_om_productinfo` | 关联主表 `om_orderdate` |\n| 3 | `dmp_spom.dmp_mrp_main_plan_task` | `plan_start_time` |\n| 4 | `dmp_serp.dmp_mc_purchase_order` | `order_date` |\n| 5 | `dmp_serp.dmp_mc_purchase_order_detail` | 关联主表 `order_date` |\n\n还有其他表要处理吗？一次性都帮你搞定 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":537,"output":666,"cacheRead":28160,"cacheWrite":0,"totalTokens":29363,"cost":{"input":0.0005369999999999999,"output":0.0013319999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0018689999999999998}},"stopReason":"stop","timestamp":1784109737239,"responseId":"4b7762d3-e202-4784-90ea-1934b8437ee9"},{"role":"user","content":"采购到货\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 14:59:11', update_time = '2026-01-22 14:59:11' where ecid = 'hsjm' and arrival_no = 'PAD2026000001';\n\n\n把 时间等于送货时间。\n-- 采购到货主表\n\n\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\n\n把 时间等于送货时间。\n-- 采购到货明细","timestamp":1784109773108,"idempotencyKey":"c1f0893e-59e7-4e66-8ebf-c96466a88991:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `ship_date`（送货时间/发货时间）。\n\n## 采购到货主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购到货明细表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival_detail ad\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON ad.ecid = a.ecid AND ad.arrival_no = a.arrival_no\nSET \n ad.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n ad.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ad.ecid = 'hsjm';\n```\n\n不过我看你的例子里，`ship_date` 和 `arrival_date` 都是 `'2026-01-22'`（同一天）。你说\"时间等于**送货时间**\"，那就是用 `ship_date` 作为日期源，没错吧？还是说你想用 `arrival_date`（到货时间）？\n\n---\n\n## 📋 完整更新清单（截至目前）\n\n| 序号 | 表 | 数据库 | 日期源字段 | 关联方式 |\n|------|-----|--------|-----------|---------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 直接更新 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate` | JOIN 主表 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 直接更新 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 直接更新 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date` | JOIN 主表 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 直接更新 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date` | JOIN 主表 |\n\n还继续有吗？一次性整完 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":427,"output":719,"cacheRead":29312,"cacheWrite":0,"totalTokens":30458,"cost":{"input":0.00042699999999999997,"output":0.001438,"cacheRead":0,"cacheWrite":0,"total":0.001865}},"stopReason":"stop","timestamp":1784109773806,"responseId":"8409c206-8436-4c31-93df-a6c9c78ea7a5"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验","timestamp":1784109808938,"idempotencyKey":"4b7a78ce-766c-439b-8784-ec9eef3f92ac:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**来料检验表**，需要关联**采购到货单**获取 `ship_date`。\n\n关联关系：`qc_task_inspect` 通过某个字段关联到采购到货单？我先看看常见关联方式——通常来料检验单会记录 `arrival_no`（到货单号）和 `ecid`。\n\n如果 `qc_task_inspect` 里有 `arrival_no` 字段，关联到 `dmp_mc_purchase_arrival`：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect qi\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON qi.ecid = a.ecid AND qi.arrival_no = a.arrival_no\nSET \n qi.insp_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.insp_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE qi.ecid = 'hsjm';\n```\n\n不过我需要确认一下——`qc_task_inspect` 里**关联采购到货单的字段名是什么**？常见的有：\n- `arrival_no` — 到货单号\n- `src_bill_no` — 来源单据号\n\n你能看看表结构确认一下关联字段吗？或者直接告诉我 `qc_task_inspect` 里哪个字段存的是到货单号就行。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":317,"output":444,"cacheRead":30336,"cacheWrite":0,"totalTokens":31097,"cost":{"input":0.000317,"output":0.000888,"cacheRead":0,"cacheWrite":0,"total":0.001205}},"stopReason":"stop","timestamp":1784109809545,"responseId":"a97cc980-d1b1-4640-9631-1a5bc07b2155"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验 只有主表","timestamp":1784109834801,"idempotencyKey":"1b1a78a5-b104-491c-8c1a-3388b55520a1:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"只有主表，没有关联明细。那 `qc_task_inspect` 直接用某个字段关联到采购到货单获取 `ship_date`。我需要先看看这个表里有什么关联字段。\n\n让我查一下表结构："},{"type":"toolCall","id":"call00zNFXflO9uvHF88gvemNV1946","name":"exec","arguments":{"command":"mysql -u root -p'YourPassword' -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null || echo \"NEED_PASSWORD\""},"partialArgs":"{\"command\": \"mysql -u root -p'YourPassword' -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null || echo \\\"NEED_PASSWORD\\\"\"}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":320,"output":127,"cacheRead":30976,"cacheWrite":0,"totalTokens":31423,"cost":{"input":0.00031999999999999997,"output":0.000254,"cacheRead":0,"cacheWrite":0,"total":0.000574}},"stopReason":"toolUse","timestamp":1784109835616,"responseId":"6d7b9ef4-7af8-4b71-a201-06dba58c46a8"},{"role":"toolResult","toolCallId":"call00zNFXflO9uvHF88gvemNV1946","toolName":"exec","content":[{"type":"text","text":"NEED_PASSWORD"}],"isError":false,"timestamp":1784109838817},{"role":"assistant","content":[{"type":"toolCall","id":"call00PIuYMg0px60fCGWCIhay2037","name":"exec","arguments":{"command":"mysql -u root -p -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null | head -50","timeout":10},"partialArgs":"{\"command\": \"mysql -u root -p -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null | head -50\", \"timeout\": 10}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":79,"output":90,"cacheRead":31360,"cacheWrite":0,"totalTokens":31529,"cost":{"input":0.000079,"output":0.00017999999999999998,"cacheRead":0,"cacheWrite":0,"total":0.000259}},"stopReason":"toolUse","timestamp":1784109838831,"responseId":"1ac67ea0-15ab-4d4d-8d1a-bec64bd8a1be"},{"role":"toolResult","toolCallId":"call00PIuYMg0px60fCGWCIhay2037","toolName":"exec","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1784109840424},{"role":"assistant","content":[{"type":"text","text":"没有直连数据库的权限，没关系。你看看 `qc_task_inspect` 表里有什么字段可以用来关联到采购到货单？比如：\n\n- `arrival_no`（到货单号）\n- `src_bill_no` / `source_no`（来源单号）\n- `order_no`（采购订单号）\n- 或者其它什么字段？\n\n你告诉我关联字段名，我就能直接写出完整的 SQL 了。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":55,"output":92,"cacheRead":31488,"cacheWrite":0,"totalTokens":31635,"cost":{"input":0.000054999999999999995,"output":0.000184,"cacheRead":0,"cacheWrite":0,"total":0.000239}},"stopReason":"stop","timestamp":1784109840437,"responseId":"e2a7cf1e-c246-4d51-b8a5-498bd181dfce"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验\n-- 批量更新 dmp_smes.qc_task_inspect 的 create_time update_time中的日期部分为 对应insp_time","timestamp":1784109869504,"idempotencyKey":"31a50ea4-daa6-44a6-b525-6e085ebd2335:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"啊，看明白了！你的意思是 **直接用 `insp_time` 作为日期源**，不需要关联到货单：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单汇总\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|--------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 否 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（关联主表） | 是 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 否 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 否 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（关联主表） | 是 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 否 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（关联主表） | 是 |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | 否 |\n\n还有要处理的表吗？一起搞定 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":242,"output":471,"cacheRead":31616,"cacheWrite":0,"totalTokens":32329,"cost":{"input":0.000242,"output":0.0009419999999999999,"cacheRead":0,"cacheWrite":0,"total":0.001184}},"stopReason":"stop","timestamp":1784109870180,"responseId":"0bddd8b3-54ef-4280-b497-c5f6e7c4c117"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in set bill_date='2026-01-23',completed_at='2026-01-24 10:33:27', create_time='2026-01-23 09:56:17',update_time='2026-01-24 10:33:27' where stock_in_no='PE2026000002' and ecid ='hsjm';\n把时间等于最后入库时间。\n-- 采购入库主表\n-- 批量更新 dmp_serp.dmp_im_stock_in 的 create_time update_time中的日期部分为 对应的completed_at","timestamp":1784109898245,"idempotencyKey":"19ea56c9-af6f-4a6e-8331-4c25e67fc817:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `completed_at`（最后入库时间）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（9个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|:----:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n\n还继续有吗？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":229,"output":499,"cacheRead":32256,"cacheWrite":0,"totalTokens":32984,"cost":{"input":0.00022899999999999998,"output":0.000998,"cacheRead":0,"cacheWrite":0,"total":0.001227}},"stopReason":"stop","timestamp":1784109898887,"responseId":"4df6ab45-0f41-4730-9b14-34965a8d2fc5"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in_out_flow_detail set stock_date='2026-01-24',bill_date='2026-01-23',update_time='2026-01-24 09:12:43',create_time='2026-01-23 09:46:37' where flow_no='SIO20260410000001' and ecid ='hsjm';\n\n把时间等于最后入库时间。\n-- 采购出入库记录\n-- 批量更新 dmp_serp.dmp_im_stock_in_out_flow_detail 的 create_time update_time中的日期部分为 对应的stock_date","timestamp":1784109928282,"idempotencyKey":"fc11b4ae-ecb7-44e7-b501-01b59e37bf0c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `stock_date`：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in_out_flow_detail\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（10个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n\n还有吗？一次全整完，然后我给你生成一个**完整的 SQL 脚本文件**，方便你一次性执行 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":247,"output":551,"cacheRead":32896,"cacheWrite":0,"totalTokens":33694,"cost":{"input":0.000247,"output":0.001102,"cacheRead":0,"cacheWrite":0,"total":0.001349}},"stopReason":"stop","timestamp":1784109928948,"responseId":"530e1437-c5c6-4d13-9bd9-ceb4ee9ee99d"},{"role":"user","content":"update dmp_serp.dmp_im_stock_out set bill_date='2026-01-10',delivery_at='2026-01-25 10:26:19', create_time='2026-01-10 11:03:04', update_time='2026-01-25 10:26:19' where stock_out_no='PD2026000127' and ecid='hsjm';\n把时间等于单据日期。\n-- 生产领料单\n-- 批量更新 dmp_serp.dmp_im_stock_out 的 create_time update_time中的日期部分为 对应的bill_date","timestamp":1784109964929,"idempotencyKey":"cce96fb1-3bfc-4883-adaf-9111e6c44dd2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `bill_date`（单据日期）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_out\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（11个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n\n继续还是可以帮你生成完整脚本了？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":185,"output":566,"cacheRead":33664,"cacheWrite":0,"totalTokens":34415,"cost":{"input":0.000185,"output":0.001132,"cacheRead":0,"cacheWrite":0,"total":0.001317}},"stopReason":"stop","timestamp":1784109965649,"responseId":"46255802-137d-4009-afcd-6da8548f271b"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in_out_flow_detail set stock_date='2026-04-05',bill_date='2026-03-21',update_time='2026-04-05 14:07:09',create_time='2026-03-21 12:11:27' where flow_no='SIO20260410000236' and ecid ='hsjm';\n把时间等于单据日期。\n-- -领料出库记录\n-- 批量更新 dmp_serp.dmp_im_stock_in_out_flow_detail 的 create_time update_time中的日期部分为 对应的stock_date","timestamp":1784109993896,"idempotencyKey":"90f480c3-711d-4afa-8813-526c1cba7146:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"这个表之前已经处理过了（序号10），但之前的日期源是 `stock_date`（你说\"时间等于最后入库时间\"），现在这个你说\"时间等于单据日期\"。\n\n那我看看——同一个表 `dmp_im_stock_in_out_flow_detail`，之前是入库记录用 `stock_date`，现在是出库记录也用 `stock_date`，其实是一样的对吧？\n\n那我保持之前的脚本不变（用 `stock_date` 作为日期源），它已经覆盖了这个表的所有 `ecid = 'hsjm'` 记录：\n\n```sql\n-- 已在序号10中覆盖，无需重复\n```\n\n不过如果你想**区分入库和出库**来用不同的日期源，那就需要告诉我用什么字段来区分（比如单据类型字段）。\n\n还是说这个表统一用 `stock_date` 就行了？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":270,"output":172,"cacheRead":34304,"cacheWrite":0,"totalTokens":34746,"cost":{"input":0.00027,"output":0.00034399999999999996,"cacheRead":0,"cacheWrite":0,"total":0.000614}},"stopReason":"stop","timestamp":1784109994584,"responseId":"0e44ed7f-eb7e-4ba0-a1c8-3045b209ec87"},{"role":"user","content":"UPDATE dmp_smes.dmp_me_work_operate_record_detail SET stock_in_date ='2026-02-07',report_date ='2026-02-06 14:06:18',create_time ='2026-02-06 14:06:18',update_time='2026-02-06 14:06:18' WHERE batch_no='MSN00000919' AND ecid ='hsjm';\n\n把时间等于报工日期。\n-- 生产报工记录\n-- 批量更新 dmp_smes.dmp_me_work_operate_record_detail 的 create_time update_time中的日期部分为 对应的report_date","timestamp":1784110030260,"idempotencyKey":"18cd925e-1adf-452f-a337-09bcf00c489c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `report_date`（报工日期）：\n\n```sql\nUPDATE dmp_smes.dmp_me_work_operate_record_detail\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(report_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(report_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（12个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n| 12 | `dmp_me_work_operate_record_detail` | `dmp_smes` | `report_date` | ❌ |\n\n还有吗？差不多了吧，要不要我帮你生成一个**完整的 SQL 脚本文件**？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":223,"output":613,"cacheRead":34688,"cacheWrite":0,"totalTokens":35524,"cost":{"input":0.000223,"output":0.0012259999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0014489999999999998}},"stopReason":"stop","timestamp":1784110031005,"responseId":"05098369-82e0-49aa-8fb8-ace75f94ba2c"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in set bill_date='2026-02-06',completed_at='2026-02-07 11:13:38', create_time='2026-02-06 14:06:18',update_time='2026-02-07 11:13:38' where stock_in_no='PI2604100002' and ecid ='hsjm';\n\n把时间等于单据日期。\n-- 生产入库单\n-- 批量更新 dmp_serp.dmp_im_stock_in 的 create_time update_time中的日期部分为 对应的bill_date","timestamp":1784110061318,"idempotencyKey":"b2248248-f715-42f6-9b39-d10f30b2d7c2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"之前序号9用的 `completed_at`，现在改成用 `bill_date`。以你最新的要求为准，更新脚本：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 最终更新清单（12个表，已按最新要求修正）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `bill_date` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n| 12 | `dmp_me_work_operate_record_detail` | `dmp_smes` | `report_date` | ❌ |\n\n还要继续加表吗？还是我帮你把这 12 条 SQL 生成一个完整的脚本文件，方便你一键执行？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":222,"output":636,"cacheRead":35456,"cacheWrite":0,"totalTokens":36314,"cost":{"input":0.000222,"output":0.001272,"cacheRead":0,"cacheWrite":0,"total":0.0014939999999999999}},"stopReason":"stop","timestamp":1784110062026,"responseId":"44204c2c-90d6-418f-8e5c-1a5559d966fc"}],"tools":[{"name":"agents_list","description":"List agent ids allowed for `sessions_spawn runtime=\"subagent\"`.","parameters":{"type":"object","properties":{}}},{"name":"apply_patch","description":"Apply a patch to one or more files using the apply_patch format. The input should include *** Begin Patch and *** End Patch markers.","parameters":{"type":"object","required":["input"],"properties":{"input":{"type":"string","description":"Patch content using the *** Begin Patch/End Patch format."}}}},{"name":"create_goal","description":"Create a goal only when explicitly requested by the user or system instructions. Fails if a goal already exists; use user-facing goal controls to clear it.","parameters":{"type":"object","required":["objective"],"properties":{"objective":{"type":"string","description":"Concrete objective to pursue. Create only when explicitly requested."},"token_budget":{"type":"number","description":"Optional positive token budget for this goal."}}}},{"name":"cron","description":"Manage Gateway cron jobs and wake events: reminders, check-back-later, delayed follow-ups, recurring work. Do not emulate scheduling with exec sleep/process polling.\n\nMain cron => system events for heartbeat. Isolated cron => background task in `openclaw tasks`.\n\nACTIONS:\n- status: scheduler status\n- list: compact job summaries; includeDisabled true includes disabled; use get for full job details; agentId filter auto-filled from session\n- get: one job; needs jobId\n- add: create job; needs job object\n- update: patch job; needs jobId + patch\n- remove: delete job; needs jobId\n- run: run only if due by default; needs jobId; pass runMode=\"force\" to trigger now\n- runs: run history; needs jobId\n- wake: send wake event; needs text, optional mode; defaults the target to the calling session/agent. Pass top-level sessionKey/agentId to wake a different lane owned by the calling agent.\n\nJOB SCHEMA (for add action):\n{\n \"name\": \"string\",\n \"schedule\": { ... }, // required\n \"trigger\": { \"script\": \"...\", \"once\": false }, // optional condition gate for every/cron\n \"payload\": { ... }, // required\n \"delivery\": { ... }, // optional announce for isolated/current/session, webhook for any target\n \"sessionTarget\": \"main\" | \"isolated\" | \"current\" | \"session:<id>\",\n \"enabled\": true | false // default true\n}\n\nSESSION TARGET OPTIONS:\n- \"main\": main session; requires payload.kind=\"systemEvent\"\n- \"isolated\": ephemeral isolated session; requires payload.kind=\"agentTurn\"\n- \"current\": bind current session at creation\n- \"session:<id>\": persistent named session\n\nDEFAULTS:\n- payload.kind=\"systemEvent\" → defaults to \"main\"\n- payload.kind=\"agentTurn\" → defaults to \"isolated\"\nCurrent binding needs sessionTarget=\"current\".\n\nSCHEDULE TYPES (schedule.kind):\n- \"at\": one-shot absolute time\n { \"kind\": \"at\", \"at\": \"<ISO-8601 timestamp>\" }\n- \"every\": recurring interval\n { \"kind\": \"every\", \"everyMs\": <ms>, \"anchorMs\": <optional-ms> }\n- \"cron\": expr in supplied timezone, or Gateway host local timezone when tz omitted\n { \"kind\": \"cron\", \"expr\": \"<cron-expression>\", \"tz\": \"<optional-IANA-timezone>\" }\n Write expr in local wall-clock time; do not convert the requested local time to UTC first.\n tz omitted => Gateway host local timezone, not UTC.\n Example 6pm Shanghai daily: { \"kind\": \"cron\", \"expr\": \"0 18 * * *\", \"tz\": \"Asia/Shanghai\" }\n\nOptional trigger scripts poll headlessly on every/cron schedules and run the payload only when they return { fire: true }.\n\nFor \"at\", ISO timestamps without timezone are UTC.\n\nPAYLOAD TYPES (payload.kind):\n- \"systemEvent\": inject text as system event\n { \"kind\": \"systemEvent\", \"text\": \"<message>\" }\n- \"agentTurn\": run agent with prompt; isolated/current/session only\n { \"kind\": \"agentTurn\", \"message\": \"<prompt>\", \"model\": \"<optional>\", \"thinking\": \"<optional>\", \"timeoutSeconds\": <optional, 0=no timeout> }\n\nDELIVERY (top-level):\n { \"mode\": \"none|announce|webhook\", \"channel\": \"<optional>\", \"to\": \"<optional>\", \"threadId\": \"<optional>\", \"bestEffort\": <optional-bool> }\n - isolated agentTurn default when omitted: \"announce\"\n - announce: send to chat channel; isolated/current/session only; optional channel/to\n - threadId: chat thread/topic id\n - webhook: POST finished-run event to delivery.to URL\n - Specific chat/recipient: set announce delivery.channel/to; do not call messaging tools inside run.\n\nCRITICAL CONSTRAINTS:\n- sessionTarget=\"main\" REQUIRES payload.kind=\"systemEvent\"\n- sessionTarget=\"isolated\" | \"current\" | \"session:xxx\" REQUIRES payload.kind=\"agentTurn\"\n- Webhook: delivery.mode=\"webhook\" and delivery.to URL.\nDefault: prefer isolated agentTurn jobs unless the user explicitly wants current-session binding.\n\nRESTRICTED CRON RUNS:\n- Some isolated cron runs get narrow self-cleanup grant: status/list self-only, get/runs current job only, mutation only remove current job.\n\nWAKE MODES (for wake action):\n- \"next-heartbeat\" default: wake next heartbeat\n- \"now\": wake immediately\n\nUse jobId canonical; id accepted compat. contextMessages (0-10) adds previous messages as job context.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"includeDisabled":{"type":"boolean"},"job":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"additionalProperties":true},"jobId":{"type":"string"},"id":{"type":"string"},"patch":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"additionalProperties":true},"text":{"type":"string"},"mode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"runMode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Run mode for action=\"run\": omitted defaults to \"due\"; use \"force\" to trigger now."},"contextMessages":{"type":"integer","minimum":0,"maximum":10},"agentId":{"type":"string","description":"List filter for `action: \"list\"`; wake target override for `action: \"wake\"` (defaults to the calling agent when omitted on wake)"},"sessionKey":{"type":"string","description":"Wake target override for `action: \"wake\"`: route the event to another session owned by the calling agent. Defaults to the resolved calling-session key when omitted."}},"additionalProperties":true}},{"name":"edit","description":"Edit a single file using exact text replacement. Every edits[].oldText must match a unique, non-overlapping region of the original file. If two changes affect the same block or nearby lines, merge them into one edit instead of emitting overlapping edits. Do not include large unchanged regions just to connect distant changes.","parameters":{"type":"object","required":["path","edits"],"properties":{"path":{"type":"string","description":"Path to the file to edit (relative or absolute)"},"edits":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"One or more targeted replacements. Each edit is matched against the original file, not incrementally. Do not include overlapping or nested edits. If two changes touch the same block or nearby lines, merge them into one edit instead."}},"additionalProperties":false}},{"name":"exec","description":"Execute shell commands with background continuation for work that starts now. Use yieldMs/background to continue later via process tool. For long-running work started now, rely on automatic completion wake when it is enabled and the command emits output or fails; otherwise use process to confirm completion. Use process whenever you need logs, status, input, or intervention. Do not use exec sleep or delay loops for reminders or deferred follow-ups; use cron instead. Use pty=true for TTY-required commands (terminal UIs, coding agents).","parameters":{"type":"object","required":["command"],"properties":{"command":{"type":"string","description":"Shell command to execute"},"workdir":{"type":"string","description":"Working directory. Blank/whitespace values are invalid; omit to use the default cwd."},"env":{"type":"object","patternProperties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"yieldMs":{"type":"number","description":"Milliseconds to wait before backgrounding (default 10000)"},"background":{"type":"boolean","description":"Run in background immediately"},"timeout":{"type":"number","description":"Timeout in seconds (optional, kills process on expiry)"},"pty":{"type":"boolean","description":"Run in a pseudo-terminal (PTY) when available (TTY-required CLIs, coding agents)"},"elevated":{"type":"boolean","description":"Run on the host with elevated permissions (if allowed)"},"host":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Exec host/target (auto|sandbox|gateway|node)."},"security":{"type":"string","description":"Ignored for normal calls; exec security is set by tools.exec.security and host approvals."},"ask":{"type":"string","description":"Baseline ask comes from tools.exec.ask and host approvals; channel-origin calls ignore per-call ask when effective host ask is off."},"node":{"type":"string","description":"Node id/name for host=node."}}}},{"name":"gateway","description":"Gateway restart/config/update. Before config edits, use config.schema.lookup with targeted dot path. Prefer config.patch for partial merge; config.apply only full replace. For config.patch that intentionally removes array entries, pass replacePaths with the exact affected array path. Writes hot-reload or restart as needed. Always pass human `note` for post-restart delivery. If post-restart work must continue internally, pass one-shot `continuationMessage`; visible follow-up from that turn must use the message tool. Do not write restart sentinel files directly.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"delayMs":{"type":"integer","minimum":0},"reason":{"type":"string"},"continuationMessage":{"type":"string"},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"path":{"type":"string"},"raw":{"type":"string"},"baseHash":{"type":"string"},"replacePaths":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"maxItems":256},"sessionKey":{"type":"string"},"note":{"type":"string"},"restartDelayMs":{"type":"integer","minimum":0}}}},{"name":"get_goal","description":"Get the current goal for this thread, including status and token usage.","parameters":{"type":"object","properties":{}}},{"name":"image","description":"Analyze images with available vision model. Use image for one path/URL, images for max 20. Prompt says what to inspect.","parameters":{"type":"object","properties":{"prompt":{"type":"string"},"image":{"type":"string","description":"One image path/URL."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Image paths/URLs; maxImages default 20."},"model":{"type":"string"},"maxBytesMb":{"type":"number","exclusiveMinimum":0},"maxImages":{"type":"integer","minimum":1}}}},{"name":"image_generate","description":"Create/edit images. Session chats: background task; do not call image_generate again for same request; wait completion, then report through the current visible-reply contract with generated media attached using structured media fields. Transparent: outputFormat=\"png\" or \"webp\" + background=\"transparent\"; OpenAI also supports openai.background and routes default model to gpt-image-1.5. Use action=\"list\" for providers/models/readiness/auth, \"status\" for active task.","parameters":{"type":"object","properties":{"action":{"type":"string","description":"\"generate\" default, \"status\" active task, \"list\" providers/models."},"prompt":{"type":"string","description":"Image prompt."},"image":{"type":"string","description":"Reference image path/URL for edit."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference images for edit or style reference; max 14."},"model":{"type":"string","description":"Provider/model override, e.g. openai/gpt-image-2; transparent OpenAI: openai/gpt-image-1.5."},"filename":{"type":"string","description":"Output filename hint; basename preserved in managed media dir."},"size":{"type":"string","description":"Size hint: 1024x1024, 1536x1024, 1024x1536, 2048x2048, 3840x2160."},"aspectRatio":{"type":"string","description":"Aspect ratio: 1:1, 2:1, 20:9, 19.5:9, 2:3, 3:2, 2.35:1, 3:4, 4:3, 4:5, 5:4, 9:16, 9:19.5, 9:20, 16:9, 21:9, 1:2, 4:1, 1:4, 8:1, 1:8."},"resolution":{"type":"string","description":"Resolution: 1K, 2K, 4K; useful for Google."},"quality":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Quality: low, medium, high, auto."},"outputFormat":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Output format: png, jpeg, webp."},"background":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Background: transparent, opaque, auto. Transparent needs png/webp output."},"openai":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"fal":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"count":{"type":"integer","description":"Image count 1-4.","minimum":1,"maximum":4},"timeoutMs":{"type":"integer","description":"Provider timeout ms (300000 tends to be a safe amount).","minimum":1}}}},{"name":"memory_get","description":"Safe exact excerpt read from MEMORY.md or memory/*.md. Defaults to a bounded excerpt when lines are omitted, includes truncation/continuation info when more content exists, and `corpus=wiki` reads from registered compiled-wiki supplements.","parameters":{"type":"object","properties":{"path":{"type":"string"},"from":{"type":"integer","minimum":1},"lines":{"type":"integer","minimum":1},"corpus":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}},"required":["path"],"additionalProperties":false}},{"name":"memory_search","description":"Mandatory recall step: semantically search MEMORY.md + memory/*.md (and optional session transcripts) before answering questions about prior work, decisions, dates, people, preferences, or todos. Optional `corpus=wiki` or `corpus=all` also searches registered compiled-wiki supplements. `corpus=memory` restricts hits to indexed memory files (excludes session transcript chunks from ranking). `corpus=sessions` restricts hits to indexed session transcripts (same visibility rules as session history tools). If response has disabled=true, memory retrieval is unavailable and should be surfaced to the user.","parameters":{"type":"object","properties":{"query":{"type":"string"},"maxResults":{"type":"integer","minimum":1},"minScore":{"type":"number"},"corpus":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}},"required":["query"],"additionalProperties":false}},{"name":"message","description":"Send/delete/manage channel messages. Supports actions: send.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"channel":{"type":"string"},"target":{"type":"string","description":"Recipient/channel: E.164 for WhatsApp/Signal, Telegram chat id/@username, Discord/Slack/Mattermost <channelId|user:ID|channel:ID>, or iMessage handle/chat_id"},"targets":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"accountId":{"type":"string"},"dryRun":{"type":"boolean"},"message":{"type":"string"},"effectId":{"type":"string","description":"Effect id/name for sendWithEffect."},"effect":{"type":"string","description":"Alias for effectId."},"media":{"type":"string","description":"Media URL/path. data: use buffer."},"filename":{"type":"string"},"buffer":{"type":"string","description":"Base64 attachment payload; data URL ok."},"contentType":{"type":"string"},"mimeType":{"type":"string"},"caption":{"type":"string"},"attachments":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Structured attachments; each entry uses media."},"replyTo":{"type":"string"},"threadId":{"type":"string"},"asVoice":{"type":"boolean"},"silent":{"type":"boolean"},"quoteText":{"type":"string","description":"Telegram reply quote text."},"gifPlayback":{"type":"boolean"},"forceDocument":{"type":"boolean","description":"Send image/GIF/video as document; avoids compression."},"asDocument":{"type":"boolean","description":"Alias for forceDocument."},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1}}}},{"name":"node_inference","description":"Discover and run chat-capable Ollama models installed on paired desktop/server nodes. Use action=discover first, then action=run with a node and model from that result. Inference stays on the selected node.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"node":{"type":"string","description":"Connected node id or display name. Required when ambiguous."},"model":{"type":"string","description":"Exact local model name returned by discover."},"prompt":{"type":"string","description":"Prompt for action=run."},"system":{"type":"string","description":"Optional system prompt for action=run."},"temperature":{"type":"number","minimum":0,"maximum":2},"maxTokens":{"type":"integer","minimum":1,"maximum":8192},"timeoutMs":{"type":"integer","minimum":1,"maximum":600000}},"additionalProperties":false}},{"name":"nodes","description":"Discover/control paired nodes: status, describe, pairing, notify, camera/photos/screen/location/notifications/invoke. Use file_fetch for files.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"node":{"type":"string"},"requestId":{"type":"string"},"title":{"type":"string"},"body":{"type":"string"},"sound":{"type":"string"},"priority":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"delivery":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"facing":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"camera_snap: front/back/both; camera_clip: front/back only."},"maxWidth":{"type":"integer","minimum":1},"quality":{"type":"number","minimum":0,"maximum":1},"delayMs":{"type":"integer","minimum":0},"deviceId":{"type":"string"},"limit":{"type":"integer","minimum":1,"maximum":20},"duration":{"type":"string"},"durationMs":{"type":"integer","minimum":1,"maximum":300000},"includeAudio":{"type":"boolean"},"fps":{"type":"number","exclusiveMinimum":0},"screenIndex":{"type":"integer","minimum":0},"outPath":{"type":"string"},"maxAgeMs":{"type":"integer","minimum":0},"locationTimeoutMs":{"type":"integer","minimum":1},"desiredAccuracy":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"notificationAction":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"notificationKey":{"type":"string"},"notificationReplyText":{"type":"string"},"invokeCommand":{"type":"string"},"invokeParamsJson":{"type":"string"},"invokeTimeoutMs":{"type":"integer","minimum":1}}}},{"name":"pdf","description":"Analyze PDFs with model. Anthropic/Google native PDF when supported; else text/image extraction. Use pdf for one, pdfs for max 10; prompt says what to inspect.","parameters":{"type":"object","properties":{"prompt":{"type":"string"},"pdf":{"type":"string","description":"One PDF path/URL."},"pdfs":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"PDF paths/URLs; max 10."},"pages":{"type":"string","description":"Pages, e.g. \"1-5\", \"1,3,5-7\"; default all."},"model":{"type":"string"},"maxBytesMb":{"type":"number","exclusiveMinimum":0}}}},{"name":"process","description":"Manage running exec sessions for commands already started: list, poll, log, write, send-keys, submit, paste, kill. Use poll/log when you need status, logs, quiet-success confirmation, or completion confirmation when automatic completion wake is unavailable. Use poll/log also for input-wait hints. Use write/send-keys/submit/paste/kill for input or intervention. Do not use process polling to emulate timers or reminders; use cron for scheduled follow-ups.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","description":"Process action (list|poll|log|write|send-keys|submit|paste|kill|clear|remove)"},"sessionId":{"type":"string","description":"Session id for actions other than list"},"data":{"type":"string","description":"Data to write for write"},"keys":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Key tokens to send for send-keys"},"hex":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Hex bytes to send for send-keys"},"literal":{"type":"string","description":"Literal string for send-keys"},"text":{"type":"string","description":"Text to paste for paste"},"bracketed":{"type":"boolean","description":"Wrap paste in bracketed mode"},"eof":{"type":"boolean","description":"Close stdin after write"},"offset":{"type":"number","description":"Log offset"},"limit":{"type":"number","description":"Log length"},"timeout":{"type":"number","description":"For poll: wait up to this many milliseconds before returning; max 30000 ms, higher values are clamped to 30000","minimum":0}}}},{"name":"read","description":"Read the contents of a file. Supports text files and images (jpg, png, gif, webp, bmp). Images are sent as attachments. For text files, output is truncated to 2000 lines or 50KB (whichever is hit first). Use offset/limit for large files. When you need the full file, continue with offset until complete.","parameters":{"type":"object","required":["path"],"properties":{"path":{"type":"string","description":"Path to the file to read (relative or absolute)"},"offset":{"type":"number","description":"Line number to start reading from (1-indexed)"},"limit":{"type":"number","description":"Maximum number of lines to read"}}}},{"name":"session_status","description":"Show /status-like card for current/visible session: model, usage, time, cost, tasks. Use `sessionKey=\"current\"` for current session; UI labels like `openclaw-tui` are not keys. `model` sets session override; `model=default` resets. Use for active model/session config questions.","parameters":{"type":"object","properties":{"sessionKey":{"type":"string"},"model":{"type":"string"}}}},{"name":"sessions_history","description":"Fetch sanitized history for visible session. Use before replying, debugging, resuming; supports limit, offset pagination, and tool-message inclusion.","parameters":{"type":"object","required":["sessionKey"],"properties":{"sessionKey":{"type":"string"},"limit":{"type":"integer","minimum":1},"offset":{"type":"integer","minimum":0},"includeTools":{"type":"boolean"}}}},{"name":"sessions_list","description":"List visible sessions; filter by kind, label, agentId, search, activity, archive state. Use before sessions_history or sessions_send target selection.","parameters":{"type":"object","properties":{"kinds":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"limit":{"type":"integer","minimum":1},"activeMinutes":{"type":"integer","minimum":1},"messageLimit":{"type":"integer","minimum":0},"label":{"type":"string","minLength":1},"agentId":{"type":"string","minLength":1,"maxLength":64},"search":{"type":"string","minLength":1},"archived":{"type":"boolean"},"includeDerivedTitles":{"type":"boolean"},"includeLastMessage":{"type":"boolean"}}}},{"name":"sessions_send","description":"Send message to visible session by sessionKey/label, or configured agent by agentId; sessionKey wins when redundant label metadata is present. Thread-scoped chats rejected; target parent channel session. Creates missing configured-agent main session; waits for reply when available.","parameters":{"type":"object","required":["message"],"properties":{"sessionKey":{"type":"string"},"label":{"type":"string","minLength":1,"maxLength":512},"agentId":{"type":"string","minLength":1,"maxLength":64},"message":{"type":"string"},"timeoutSeconds":{"type":"integer","minimum":0}}}},{"name":"sessions_spawn","description":"Spawn clean child session; default `runtime=\"subagent\"`. `mode=\"run\"` one-shot background work. Subagents inherit parent workspace. Native subagents get task in first visible `[Subagent Task]` message. Native only: `context=\"fork\"` only when child needs current transcript; else omit or `isolated`. Use for fresh child-session work. Delegate sidecar/parallel tasks: batch file reads, multi-step searches, data collection. Avoid delegating quick lookups or single-file reads unless policy prefers delegation. After spawning, do non-overlapping work while run-mode results return.","parameters":{"type":"object","required":["task"],"properties":{"task":{"type":"string"},"taskName":{"type":"string","description":"Stable alias for later targeting; lowercase letters/digits/underscores/hyphens, starts letter."},"label":{"type":"string"},"runtime":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"agentId":{"type":"string"},"model":{"type":"string"},"thinking":{"type":"string"},"cwd":{"type":"string"},"mode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"cleanup":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"sandbox":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"context":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Native context. Omit/\"isolated\" for clean child; \"fork\" only when child needs requester transcript."},"lightContext":{"type":"boolean","description":"Light bootstrap context; runtime=\"subagent\" only."},"attachments":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"maxItems":50},"attachAs":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}}}},{"name":"sessions_yield","description":"End current turn. Use after spawning subagents; results arrive as next message.","parameters":{"type":"object","properties":{"message":{"type":"string"}}}},{"name":"skill_workshop","description":"Create, update, revise, list, inspect, apply, reject, or quarantine Skill Workshop proposals when reusable procedures should be captured, improved, or explicitly approved.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"create = new skill; update = existing live skill; revise = existing pending proposal; list/inspect discover pending proposals (not filesystem search); apply/reject/quarantine are explicit lifecycle actions."},"proposal_id":{"type":"string","description":"Existing proposal id for action=inspect, action=revise, action=apply, action=reject, or action=quarantine."},"name":{"type":"string","description":"Skill/proposal name. Required for create; for inspect/revise when proposal_id is unknown, resolves a pending proposal or returns candidates."},"query":{"type":"string","description":"Optional query for action=list."},"status":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Optional proposal status filter for action=list."},"limit":{"type":"integer","minimum":1,"maximum":50,"description":"Maximum proposals to return for action=list. Defaults to 20."},"description":{"type":"string","maxLength":160,"description":"Skill description for create/update/revise; max 160 bytes. On update, concise text shortens the proposal listing entry."},"skill_name":{"type":"string","description":"Existing skill name or key for action=update."},"proposal_content":{"type":"string","description":"Full proposed procedure markdown for action=create, action=update, or action=revise. It will be stored as PROPOSAL.md. Keep under configured skills.workshop.maxSkillBytes; default max is 40000 bytes."},"support_files":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Optional support files to store with the proposal."},"goal":{"type":"string","description":"Proposal or improvement goal."},"evidence":{"type":"string","description":"Short evidence or notes."},"reason":{"type":"string","description":"Optional reason for action=apply, action=reject, or action=quarantine."}},"additionalProperties":false}},{"name":"subagents","description":"List active and recent subagents for the requester session. If sessions_yield exists, use it for completion; do not poll wait loops.","parameters":{"type":"object","properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"recentMinutes":{"type":"integer","minimum":1}}}},{"name":"tts","description":"Use only for explicit audio intent (voice/speech/TTS) or active TTS config. Never use for ordinary text replies. Audio auto-delivered from tool result; after success follow reply instructions, no duplicate text/audio.","parameters":{"type":"object","required":["text"],"properties":{"text":{"type":"string","description":"Text to speak."},"channel":{"type":"string","description":"Channel id; output-format hint."},"timeoutMs":{"type":"integer","description":"Provider timeout ms.","minimum":1}}}},{"name":"update_goal","description":"Mark the current goal complete only when achieved, or blocked only after the same blocking condition recurs for at least three consecutive goal turns. Do not use blocked for ordinary difficulty or missing polish.","parameters":{"type":"object","required":["status"],"properties":{"status":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"complete | blocked."},"note":{"type":"string","description":"Short status note."}}}},{"name":"update_plan","description":"Update current run plan. Use for non-trivial multi-step work; keep plan current while executing. Short steps; max one `in_progress`; skip for simple one-step work.","parameters":{"type":"object","required":["plan"],"properties":{"explanation":{"type":"string","description":"Short note: what changed."},"plan":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"minItems":1,"description":"Ordered steps; max one in_progress."}}}},{"name":"video_generate","description":"Create videos. Session chats: background task; do not call video_generate again for same request; wait completion, then report through the current visible-reply contract with generated media attached using structured media fields. \"status\" checks active task. Duration may round to provider-supported value.","parameters":{"type":"object","properties":{"action":{"type":"string","description":"\"generate\" default, \"status\" active task, \"list\" providers/models."},"prompt":{"type":"string","description":"Video prompt."},"image":{"type":"string","description":"One reference image path/URL."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference images; max 9."},"imageRoles":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"`image` + `images` roles by index after de-dupe. Values: first_frame, last_frame, reference_image; empty string leaves unset."},"video":{"type":"string","description":"One reference video path/URL."},"videos":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference videos; max 4."},"videoRoles":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"`video` + `videos` roles by index after de-dupe. Value: reference_video; empty string leaves unset."},"model":{"type":"string","description":"Provider/model override, e.g. qwen/wan2.6-t2v."},"filename":{"type":"string","description":"Output filename hint; basename preserved in managed media dir."},"size":{"type":"string","description":"Size hint, e.g. 1280x720, 1920x1080."},"aspectRatio":{"type":"string","description":"Aspect ratio: 1:1, 16:9, 9:16, \"adaptive\", or provider value; unsupported normalized/ignored."},"resolution":{"type":"string","description":"Resolution: 360P, 480P, 540P, 720P, 768P, 1080P, 4K, or provider value; unsupported normalized/ignored."},"durationSeconds":{"type":"integer","description":"Target seconds; may round to nearest supported duration.","minimum":1},"audio":{"type":"boolean","description":"Generated-audio toggle."},"watermark":{"type":"boolean","description":"Watermark toggle."},"providerOptions":{"type":"object","patternProperties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Provider JSON options, e.g. {\"seed\":42}. Keys/types must match provider capabilities; mismatch skips candidate. Use action=list for accepted keys."},"timeoutMs":{"type":"integer","description":"Provider timeout ms.","minimum":1}}}},{"name":"write","description":"Write content to a file. Creates the file if it doesn't exist, overwrites if it does. Automatically creates parent directories.","parameters":{"type":"object","required":["path","content"],"properties":{"path":{"type":"string","description":"Path to the file to write (relative or absolute)"},"content":{"type":"string","description":"Content to write to the file"}}}}],"imagesCount":0,"streamStrategy":"boundary-aware:openai-completions","transport":"auto","transcriptLeafId":"a1608ee7"}}
|
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{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","source":"runtime","type":"prompt.submitted","ts":"2026-07-15T10:09:14.182Z","seq":4,"sourceSeq":109,"sessionId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","sessionKey":"agent:main:dashboard:2fdf88e4-fa3f-46c2-b547-384e2c048b11","runId":"a1c56d85-1317-4a95-a5c0-0219f9d08e80","workspaceDir":"/home/yangxuan/.openclaw/workspace","provider":"deepseek","modelId":"deepseek-v4-flash","modelApi":"openai-completions","data":{"prompt":"update dmp_serp.dmp_om_deliver_order set create_time ='2026-02-08 16:17:09',update_time ='2026-02-08 16:17:09',om_deliverdate ='2026-02-08' where ecid ='hsjm' and om_deliverorder ='FHO2026000003';\n把时间等于要求发货日期。\n-- 销售发货单\n-- 批量更新 dmp_serp.dmp_om_deliver_order 的 create_time update_time中的日期部分为 对应的om_deliverdate\n\nupdate dmp_serp.dmp_om_deliver_productinfo set create_time ='2026-02-08 10:00:40',update_time ='2026-02-08 10:00:40' where ecid ='hsjm' and om_deliverorder ='FHO2026000002';\nupdate dmp_serp.dmp_om_deliver_productinfo set create_time ='2026-02-08 16:17:09',update_time ='2026-02-08 16:17:09' where ecid ='hsjm' and om_deliverorder ='FHO2026000003';\n把时间等于要求发货日期。\n-- 发货单明细\n-- 批量更新 dmp_serp.dmp_om_deliver_productinfo 的 create_time update_time中的日期部分为 对应的om_deliverdate\n-- 根据 dmp_serp.dmp_om_deliver_productinfo.om_deliverorder ecid 关联 dmp_serp.dmp_om_deliver_order.om_deliverorder ecid","systemPrompt":{"truncated":true,"reason":"trajectory-field-size-limit","originalChars":39560,"limitChars":32768},"messages":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate \n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","timestamp":1784109538113,"idempotencyKey":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"},{"role":"user","content":"保留原时分秒，只改日期部分\nUPDATE dmp_spom.dmp_mrp_main_plan_task SET plan_start_time='2026-07-07 11:03:04',create_time='2026-07-07 10:58:04',update_time='2026-07-07 11:03:04' WHERE ecid='kanda' AND plan_no='PLAN2026071414255193535522';\n-- 物料计划主表\n-- 批量更新 dmp_spom.dmp_mrp_main_plan_task 的 create_time update_time中的日期部分为 对应的plan_start_time","timestamp":1784109596434,"idempotencyKey":"7c28a842-8a9f-4cc4-9094-1298d4ce1a5c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**物料计划主表 `dmp_mrp_main_plan_task`**，要把 `create_time` 和 `update_time` 的日期部分改为对应的 `plan_start_time`，保留原时分秒。\n\n## 更新脚本\n\n```sql\nUPDATE dmp_spom.dmp_mrp_main_plan_task\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'kanda';\n```\n\n范围条件？我看你前面说的是\"计划开始时间是7月份的数据\"，但 `plan_start_time` 看样例已经是 7 月份。你对范围有要求吗？比如：\n\n```sql\n-- 如果只要 plan_start_time 在7月份的数据\nAND plan_start_time >= '2026-07-01' AND plan_start_time < '2026-08-01'\n\n-- 或者只要 plan_start_time 日期和 create_time 日期不一致的（避免无意义更新）\nAND DATE(plan_start_time) != DATE(create_time)\n```\n\n需要加范围条件吗？还是直接全量更新 `ecid = 'kanda'` 的所有记录？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":1021,"output":340,"cacheRead":26880,"cacheWrite":0,"totalTokens":28241,"cost":{"input":0.001021,"output":0.0006799999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0017009999999999998}},"stopReason":"stop","timestamp":1784109597165,"responseId":"3546056a-f6d1-4805-b0d2-e4d5739d2293"},{"role":"user","content":"采购订单\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37' where ecid = 'hsjm' and order_no ='PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 16:10:47', update_time ='2026-01-12 16:10:47' where ecid = 'hsjm' and order_no ='PO2026000002';\n把 时间等于下单时间。\n-- 采购订单\n-- 批量更新 dmp_serp.dmp_mc_purchase_order 的 create_time update_time中的日期部分为 对应的order_date\n\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\n把 时间等于下单时间。\n\n-- 采购明细表\n-- 批量更新 dmp_serp.dmp_mc_purchase_order_detail 的 create_time update_time中的日期部分为 对应的order_date","timestamp":1784109736511,"idempotencyKey":"dea79fe3-9e82-4fcc-932b-78fe7ffb7ea2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，两个表一起处理，都是**采购订单**相关，用 `order_date` 作为日期源。\n\n## 采购订单主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购订单明细表\n\n明细表需要通过 `order_no` 和 `ecid` 关联主表获取 `order_date`：\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order_detail pd\nJOIN dmp_serp.dmp_mc_purchase_order po \n ON pd.ecid = po.ecid AND pd.order_no = po.order_no\nSET \n pd.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pd.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE pd.ecid = 'hsjm';\n```\n\n同样你提到的 **plan_arrival_date**——明细表里也有这个字段，看你样例里也在改它。但你的需求描述里只提了 `create_time` 和 `update_time`，`plan_arrival_date` 是否需要基于主表的 `plan_arrival_date` 同步更新？如果需要，可以加上：\n\n```sql\n-- 在明细表的 SET 中加上 plan_arrival_date 同步\n pd.plan_arrival_date = po.plan_arrival_date,\n```\n\n---\n\n汇总一下你到目前为止的更新清单：\n\n| 序号 | 表 | 日期源字段 |\n|------|-----|-----------|\n| 1 | `dmp_serp.dmp_om_order` | `om_orderdate` |\n| 2 | `dmp_serp.dmp_om_productinfo` | 关联主表 `om_orderdate` |\n| 3 | `dmp_spom.dmp_mrp_main_plan_task` | `plan_start_time` |\n| 4 | `dmp_serp.dmp_mc_purchase_order` | `order_date` |\n| 5 | `dmp_serp.dmp_mc_purchase_order_detail` | 关联主表 `order_date` |\n\n还有其他表要处理吗？一次性都帮你搞定 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":537,"output":666,"cacheRead":28160,"cacheWrite":0,"totalTokens":29363,"cost":{"input":0.0005369999999999999,"output":0.0013319999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0018689999999999998}},"stopReason":"stop","timestamp":1784109737239,"responseId":"4b7762d3-e202-4784-90ea-1934b8437ee9"},{"role":"user","content":"采购到货\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 14:59:11', update_time = '2026-01-22 14:59:11' where ecid = 'hsjm' and arrival_no = 'PAD2026000001';\n\n\n把 时间等于送货时间。\n-- 采购到货主表\n\n\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\n\n把 时间等于送货时间。\n-- 采购到货明细","timestamp":1784109773108,"idempotencyKey":"c1f0893e-59e7-4e66-8ebf-c96466a88991:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `ship_date`（送货时间/发货时间）。\n\n## 采购到货主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购到货明细表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival_detail ad\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON ad.ecid = a.ecid AND ad.arrival_no = a.arrival_no\nSET \n ad.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n ad.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ad.ecid = 'hsjm';\n```\n\n不过我看你的例子里，`ship_date` 和 `arrival_date` 都是 `'2026-01-22'`（同一天）。你说\"时间等于**送货时间**\"，那就是用 `ship_date` 作为日期源，没错吧？还是说你想用 `arrival_date`（到货时间）？\n\n---\n\n## 📋 完整更新清单（截至目前）\n\n| 序号 | 表 | 数据库 | 日期源字段 | 关联方式 |\n|------|-----|--------|-----------|---------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 直接更新 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate` | JOIN 主表 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 直接更新 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 直接更新 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date` | JOIN 主表 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 直接更新 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date` | JOIN 主表 |\n\n还继续有吗？一次性整完 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":427,"output":719,"cacheRead":29312,"cacheWrite":0,"totalTokens":30458,"cost":{"input":0.00042699999999999997,"output":0.001438,"cacheRead":0,"cacheWrite":0,"total":0.001865}},"stopReason":"stop","timestamp":1784109773806,"responseId":"8409c206-8436-4c31-93df-a6c9c78ea7a5"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验","timestamp":1784109808938,"idempotencyKey":"4b7a78ce-766c-439b-8784-ec9eef3f92ac:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**来料检验表**，需要关联**采购到货单**获取 `ship_date`。\n\n关联关系：`qc_task_inspect` 通过某个字段关联到采购到货单？我先看看常见关联方式——通常来料检验单会记录 `arrival_no`（到货单号）和 `ecid`。\n\n如果 `qc_task_inspect` 里有 `arrival_no` 字段，关联到 `dmp_mc_purchase_arrival`：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect qi\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON qi.ecid = a.ecid AND qi.arrival_no = a.arrival_no\nSET \n qi.insp_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.insp_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE qi.ecid = 'hsjm';\n```\n\n不过我需要确认一下——`qc_task_inspect` 里**关联采购到货单的字段名是什么**？常见的有：\n- `arrival_no` — 到货单号\n- `src_bill_no` — 来源单据号\n\n你能看看表结构确认一下关联字段吗？或者直接告诉我 `qc_task_inspect` 里哪个字段存的是到货单号就行。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":317,"output":444,"cacheRead":30336,"cacheWrite":0,"totalTokens":31097,"cost":{"input":0.000317,"output":0.000888,"cacheRead":0,"cacheWrite":0,"total":0.001205}},"stopReason":"stop","timestamp":1784109809545,"responseId":"a97cc980-d1b1-4640-9631-1a5bc07b2155"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验 只有主表","timestamp":1784109834801,"idempotencyKey":"1b1a78a5-b104-491c-8c1a-3388b55520a1:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"只有主表，没有关联明细。那 `qc_task_inspect` 直接用某个字段关联到采购到货单获取 `ship_date`。我需要先看看这个表里有什么关联字段。\n\n让我查一下表结构："},{"type":"toolCall","id":"call00zNFXflO9uvHF88gvemNV1946","name":"exec","arguments":{"command":"mysql -u root -p'YourPassword' -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null || echo \"NEED_PASSWORD\""},"partialArgs":"{\"command\": \"mysql -u root -p'YourPassword' -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null || echo \\\"NEED_PASSWORD\\\"\"}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":320,"output":127,"cacheRead":30976,"cacheWrite":0,"totalTokens":31423,"cost":{"input":0.00031999999999999997,"output":0.000254,"cacheRead":0,"cacheWrite":0,"total":0.000574}},"stopReason":"toolUse","timestamp":1784109835616,"responseId":"6d7b9ef4-7af8-4b71-a201-06dba58c46a8"},{"role":"toolResult","toolCallId":"call00zNFXflO9uvHF88gvemNV1946","toolName":"exec","content":[{"type":"text","text":"NEED_PASSWORD"}],"isError":false,"timestamp":1784109838817},{"role":"assistant","content":[{"type":"toolCall","id":"call00PIuYMg0px60fCGWCIhay2037","name":"exec","arguments":{"command":"mysql -u root -p -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null | head -50","timeout":10},"partialArgs":"{\"command\": \"mysql -u root -p -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null | head -50\", \"timeout\": 10}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":79,"output":90,"cacheRead":31360,"cacheWrite":0,"totalTokens":31529,"cost":{"input":0.000079,"output":0.00017999999999999998,"cacheRead":0,"cacheWrite":0,"total":0.000259}},"stopReason":"toolUse","timestamp":1784109838831,"responseId":"1ac67ea0-15ab-4d4d-8d1a-bec64bd8a1be"},{"role":"toolResult","toolCallId":"call00PIuYMg0px60fCGWCIhay2037","toolName":"exec","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1784109840424},{"role":"assistant","content":[{"type":"text","text":"没有直连数据库的权限，没关系。你看看 `qc_task_inspect` 表里有什么字段可以用来关联到采购到货单？比如：\n\n- `arrival_no`（到货单号）\n- `src_bill_no` / `source_no`（来源单号）\n- `order_no`（采购订单号）\n- 或者其它什么字段？\n\n你告诉我关联字段名，我就能直接写出完整的 SQL 了。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":55,"output":92,"cacheRead":31488,"cacheWrite":0,"totalTokens":31635,"cost":{"input":0.000054999999999999995,"output":0.000184,"cacheRead":0,"cacheWrite":0,"total":0.000239}},"stopReason":"stop","timestamp":1784109840437,"responseId":"e2a7cf1e-c246-4d51-b8a5-498bd181dfce"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验\n-- 批量更新 dmp_smes.qc_task_inspect 的 create_time update_time中的日期部分为 对应insp_time","timestamp":1784109869504,"idempotencyKey":"31a50ea4-daa6-44a6-b525-6e085ebd2335:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"啊，看明白了！你的意思是 **直接用 `insp_time` 作为日期源**，不需要关联到货单：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单汇总\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|--------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 否 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（关联主表） | 是 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 否 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 否 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（关联主表） | 是 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 否 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（关联主表） | 是 |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | 否 |\n\n还有要处理的表吗？一起搞定 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":242,"output":471,"cacheRead":31616,"cacheWrite":0,"totalTokens":32329,"cost":{"input":0.000242,"output":0.0009419999999999999,"cacheRead":0,"cacheWrite":0,"total":0.001184}},"stopReason":"stop","timestamp":1784109870180,"responseId":"0bddd8b3-54ef-4280-b497-c5f6e7c4c117"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in set bill_date='2026-01-23',completed_at='2026-01-24 10:33:27', create_time='2026-01-23 09:56:17',update_time='2026-01-24 10:33:27' where stock_in_no='PE2026000002' and ecid ='hsjm';\n把时间等于最后入库时间。\n-- 采购入库主表\n-- 批量更新 dmp_serp.dmp_im_stock_in 的 create_time update_time中的日期部分为 对应的completed_at","timestamp":1784109898245,"idempotencyKey":"19ea56c9-af6f-4a6e-8331-4c25e67fc817:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `completed_at`（最后入库时间）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（9个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|:----:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n\n还继续有吗？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":229,"output":499,"cacheRead":32256,"cacheWrite":0,"totalTokens":32984,"cost":{"input":0.00022899999999999998,"output":0.000998,"cacheRead":0,"cacheWrite":0,"total":0.001227}},"stopReason":"stop","timestamp":1784109898887,"responseId":"4df6ab45-0f41-4730-9b14-34965a8d2fc5"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in_out_flow_detail set stock_date='2026-01-24',bill_date='2026-01-23',update_time='2026-01-24 09:12:43',create_time='2026-01-23 09:46:37' where flow_no='SIO20260410000001' and ecid ='hsjm';\n\n把时间等于最后入库时间。\n-- 采购出入库记录\n-- 批量更新 dmp_serp.dmp_im_stock_in_out_flow_detail 的 create_time update_time中的日期部分为 对应的stock_date","timestamp":1784109928282,"idempotencyKey":"fc11b4ae-ecb7-44e7-b501-01b59e37bf0c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `stock_date`：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in_out_flow_detail\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（10个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n\n还有吗？一次全整完，然后我给你生成一个**完整的 SQL 脚本文件**，方便你一次性执行 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":247,"output":551,"cacheRead":32896,"cacheWrite":0,"totalTokens":33694,"cost":{"input":0.000247,"output":0.001102,"cacheRead":0,"cacheWrite":0,"total":0.001349}},"stopReason":"stop","timestamp":1784109928948,"responseId":"530e1437-c5c6-4d13-9bd9-ceb4ee9ee99d"},{"role":"user","content":"update dmp_serp.dmp_im_stock_out set bill_date='2026-01-10',delivery_at='2026-01-25 10:26:19', create_time='2026-01-10 11:03:04', update_time='2026-01-25 10:26:19' where stock_out_no='PD2026000127' and ecid='hsjm';\n把时间等于单据日期。\n-- 生产领料单\n-- 批量更新 dmp_serp.dmp_im_stock_out 的 create_time update_time中的日期部分为 对应的bill_date","timestamp":1784109964929,"idempotencyKey":"cce96fb1-3bfc-4883-adaf-9111e6c44dd2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `bill_date`（单据日期）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_out\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（11个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n\n继续还是可以帮你生成完整脚本了？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":185,"output":566,"cacheRead":33664,"cacheWrite":0,"totalTokens":34415,"cost":{"input":0.000185,"output":0.001132,"cacheRead":0,"cacheWrite":0,"total":0.001317}},"stopReason":"stop","timestamp":1784109965649,"responseId":"46255802-137d-4009-afcd-6da8548f271b"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in_out_flow_detail set stock_date='2026-04-05',bill_date='2026-03-21',update_time='2026-04-05 14:07:09',create_time='2026-03-21 12:11:27' where flow_no='SIO20260410000236' and ecid ='hsjm';\n把时间等于单据日期。\n-- -领料出库记录\n-- 批量更新 dmp_serp.dmp_im_stock_in_out_flow_detail 的 create_time update_time中的日期部分为 对应的stock_date","timestamp":1784109993896,"idempotencyKey":"90f480c3-711d-4afa-8813-526c1cba7146:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"这个表之前已经处理过了（序号10），但之前的日期源是 `stock_date`（你说\"时间等于最后入库时间\"），现在这个你说\"时间等于单据日期\"。\n\n那我看看——同一个表 `dmp_im_stock_in_out_flow_detail`，之前是入库记录用 `stock_date`，现在是出库记录也用 `stock_date`，其实是一样的对吧？\n\n那我保持之前的脚本不变（用 `stock_date` 作为日期源），它已经覆盖了这个表的所有 `ecid = 'hsjm'` 记录：\n\n```sql\n-- 已在序号10中覆盖，无需重复\n```\n\n不过如果你想**区分入库和出库**来用不同的日期源，那就需要告诉我用什么字段来区分（比如单据类型字段）。\n\n还是说这个表统一用 `stock_date` 就行了？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":270,"output":172,"cacheRead":34304,"cacheWrite":0,"totalTokens":34746,"cost":{"input":0.00027,"output":0.00034399999999999996,"cacheRead":0,"cacheWrite":0,"total":0.000614}},"stopReason":"stop","timestamp":1784109994584,"responseId":"0e44ed7f-eb7e-4ba0-a1c8-3045b209ec87"},{"role":"user","content":"UPDATE dmp_smes.dmp_me_work_operate_record_detail SET stock_in_date ='2026-02-07',report_date ='2026-02-06 14:06:18',create_time ='2026-02-06 14:06:18',update_time='2026-02-06 14:06:18' WHERE batch_no='MSN00000919' AND ecid ='hsjm';\n\n把时间等于报工日期。\n-- 生产报工记录\n-- 批量更新 dmp_smes.dmp_me_work_operate_record_detail 的 create_time update_time中的日期部分为 对应的report_date","timestamp":1784110030260,"idempotencyKey":"18cd925e-1adf-452f-a337-09bcf00c489c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `report_date`（报工日期）：\n\n```sql\nUPDATE dmp_smes.dmp_me_work_operate_record_detail\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(report_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(report_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（12个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n| 12 | `dmp_me_work_operate_record_detail` | `dmp_smes` | `report_date` | ❌ |\n\n还有吗？差不多了吧，要不要我帮你生成一个**完整的 SQL 脚本文件**？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":223,"output":613,"cacheRead":34688,"cacheWrite":0,"totalTokens":35524,"cost":{"input":0.000223,"output":0.0012259999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0014489999999999998}},"stopReason":"stop","timestamp":1784110031005,"responseId":"05098369-82e0-49aa-8fb8-ace75f94ba2c"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in set bill_date='2026-02-06',completed_at='2026-02-07 11:13:38', create_time='2026-02-06 14:06:18',update_time='2026-02-07 11:13:38' where stock_in_no='PI2604100002' and ecid ='hsjm';\n\n把时间等于单据日期。\n-- 生产入库单\n-- 批量更新 dmp_serp.dmp_im_stock_in 的 create_time update_time中的日期部分为 对应的bill_date","timestamp":1784110061318,"idempotencyKey":"b2248248-f715-42f6-9b39-d10f30b2d7c2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"之前序号9用的 `completed_at`，现在改成用 `bill_date`。以你最新的要求为准，更新脚本：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 最终更新清单（12个表，已按最新要求修正）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `bill_date` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n| 12 | `dmp_me_work_operate_record_detail` | `dmp_smes` | `report_date` | ❌ |\n\n还要继续加表吗？还是我帮你把这 12 条 SQL 生成一个完整的脚本文件，方便你一键执行？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":222,"output":636,"cacheRead":35456,"cacheWrite":0,"totalTokens":36314,"cost":{"input":0.000222,"output":0.001272,"cacheRead":0,"cacheWrite":0,"total":0.0014939999999999999}},"stopReason":"stop","timestamp":1784110062026,"responseId":"44204c2c-90d6-418f-8e5c-1a5559d966fc"}],"imagesCount":0}}
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{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","source":"runtime","type":"model.completed","ts":"2026-07-15T10:09:20.120Z","seq":5,"sourceSeq":110,"sessionId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","sessionKey":"agent:main:dashboard:2fdf88e4-fa3f-46c2-b547-384e2c048b11","runId":"a1c56d85-1317-4a95-a5c0-0219f9d08e80","workspaceDir":"/home/yangxuan/.openclaw/workspace","provider":"deepseek","modelId":"deepseek-v4-flash","modelApi":"openai-completions","data":{"aborted":false,"externalAbort":false,"timedOut":false,"idleTimedOut":false,"timedOutDuringCompaction":false,"timedOutDuringToolExecution":false,"timedOutByRunBudget":false,"promptErrorSource":null,"usage":{"input":488,"output":908,"cacheRead":36224,"total":37620},"promptCache":{"lastCallUsage":{"input":488,"output":908,"cacheRead":36224,"cacheWrite":0,"total":37620},"lastCacheTouchAt":1784110154228},"compactionCount":0,"assistantTexts":["好，两个表一起处理。\n\n## 销售发货单主表\n\n```sql\nUPDATE dmp_serp.dmp_om_deliver_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_deliverdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_deliverdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 发货单明细表\n\n```sql\nUPDATE dmp_serp.dmp_om_deliver_productinfo dpi\nJOIN dmp_serp.dmp_om_deliver_order d\n ON dpi.ecid = d.ecid AND dpi.om_deliverorder = d.om_deliverorder\nSET \n dpi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(d.om_deliverdate, '%Y-%m-%d'), ' ', DATE_FORMAT(dpi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n dpi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(d.om_deliverdate, '%Y-%m-%d'), ' ', DATE_FORMAT(dpi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE dpi.ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（14个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `bill_date` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n| 12 | `dmp_me_work_operate_record_detail` | `dmp_smes` | `report_date` | ❌ |\n| 13 | `dmp_om_deliver_order` | `dmp_serp` | `om_deliverdate` | ❌ |\n| 14 | `dmp_om_deliver_productinfo` | `dmp_serp` | `om_deliverdate`（JOIN 主表） | ✅ |\n\n还要继续吗？差不多了的话我帮你生成完整 SQL 脚本文件？😄"],"finalPromptText":"update dmp_serp.dmp_om_deliver_order set create_time ='2026-02-08 16:17:09',update_time ='2026-02-08 16:17:09',om_deliverdate ='2026-02-08' where ecid ='hsjm' and om_deliverorder ='FHO2026000003';\n把时间等于要求发货日期。\n-- 销售发货单\n-- 批量更新 dmp_serp.dmp_om_deliver_order 的 create_time update_time中的日期部分为 对应的om_deliverdate\n\nupdate dmp_serp.dmp_om_deliver_productinfo set create_time ='2026-02-08 10:00:40',update_time ='2026-02-08 10:00:40' where ecid ='hsjm' and om_deliverorder ='FHO2026000002';\nupdate dmp_serp.dmp_om_deliver_productinfo set create_time ='2026-02-08 16:17:09',update_time ='2026-02-08 16:17:09' where ecid ='hsjm' and om_deliverorder ='FHO2026000003';\n把时间等于要求发货日期。\n-- 发货单明细\n-- 批量更新 dmp_serp.dmp_om_deliver_productinfo 的 create_time update_time中的日期部分为 对应的om_deliverdate\n-- 根据 dmp_serp.dmp_om_deliver_productinfo.om_deliverorder ecid 关联 dmp_serp.dmp_om_deliver_order.om_deliverorder ecid","messagesSnapshot":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate \n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","timestamp":1784109538113,"idempotencyKey":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"},{"role":"user","content":"保留原时分秒，只改日期部分\nUPDATE dmp_spom.dmp_mrp_main_plan_task SET plan_start_time='2026-07-07 11:03:04',create_time='2026-07-07 10:58:04',update_time='2026-07-07 11:03:04' WHERE ecid='kanda' AND plan_no='PLAN2026071414255193535522';\n-- 物料计划主表\n-- 批量更新 dmp_spom.dmp_mrp_main_plan_task 的 create_time update_time中的日期部分为 对应的plan_start_time","timestamp":1784109596434,"idempotencyKey":"7c28a842-8a9f-4cc4-9094-1298d4ce1a5c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**物料计划主表 `dmp_mrp_main_plan_task`**，要把 `create_time` 和 `update_time` 的日期部分改为对应的 `plan_start_time`，保留原时分秒。\n\n## 更新脚本\n\n```sql\nUPDATE dmp_spom.dmp_mrp_main_plan_task\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'kanda';\n```\n\n范围条件？我看你前面说的是\"计划开始时间是7月份的数据\"，但 `plan_start_time` 看样例已经是 7 月份。你对范围有要求吗？比如：\n\n```sql\n-- 如果只要 plan_start_time 在7月份的数据\nAND plan_start_time >= '2026-07-01' AND plan_start_time < '2026-08-01'\n\n-- 或者只要 plan_start_time 日期和 create_time 日期不一致的（避免无意义更新）\nAND DATE(plan_start_time) != DATE(create_time)\n```\n\n需要加范围条件吗？还是直接全量更新 `ecid = 'kanda'` 的所有记录？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":1021,"output":340,"cacheRead":26880,"cacheWrite":0,"totalTokens":28241,"cost":{"input":0.001021,"output":0.0006799999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0017009999999999998}},"stopReason":"stop","timestamp":1784109597165,"responseId":"3546056a-f6d1-4805-b0d2-e4d5739d2293"},{"role":"user","content":"采购订单\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37' where ecid = 'hsjm' and order_no ='PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 16:10:47', update_time ='2026-01-12 16:10:47' where ecid = 'hsjm' and order_no ='PO2026000002';\n把 时间等于下单时间。\n-- 采购订单\n-- 批量更新 dmp_serp.dmp_mc_purchase_order 的 create_time update_time中的日期部分为 对应的order_date\n\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\n把 时间等于下单时间。\n\n-- 采购明细表\n-- 批量更新 dmp_serp.dmp_mc_purchase_order_detail 的 create_time update_time中的日期部分为 对应的order_date","timestamp":1784109736511,"idempotencyKey":"dea79fe3-9e82-4fcc-932b-78fe7ffb7ea2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，两个表一起处理，都是**采购订单**相关，用 `order_date` 作为日期源。\n\n## 采购订单主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购订单明细表\n\n明细表需要通过 `order_no` 和 `ecid` 关联主表获取 `order_date`：\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order_detail pd\nJOIN dmp_serp.dmp_mc_purchase_order po \n ON pd.ecid = po.ecid AND pd.order_no = po.order_no\nSET \n pd.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pd.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE pd.ecid = 'hsjm';\n```\n\n同样你提到的 **plan_arrival_date**——明细表里也有这个字段，看你样例里也在改它。但你的需求描述里只提了 `create_time` 和 `update_time`，`plan_arrival_date` 是否需要基于主表的 `plan_arrival_date` 同步更新？如果需要，可以加上：\n\n```sql\n-- 在明细表的 SET 中加上 plan_arrival_date 同步\n pd.plan_arrival_date = po.plan_arrival_date,\n```\n\n---\n\n汇总一下你到目前为止的更新清单：\n\n| 序号 | 表 | 日期源字段 |\n|------|-----|-----------|\n| 1 | `dmp_serp.dmp_om_order` | `om_orderdate` |\n| 2 | `dmp_serp.dmp_om_productinfo` | 关联主表 `om_orderdate` |\n| 3 | `dmp_spom.dmp_mrp_main_plan_task` | `plan_start_time` |\n| 4 | `dmp_serp.dmp_mc_purchase_order` | `order_date` |\n| 5 | `dmp_serp.dmp_mc_purchase_order_detail` | 关联主表 `order_date` |\n\n还有其他表要处理吗？一次性都帮你搞定 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":537,"output":666,"cacheRead":28160,"cacheWrite":0,"totalTokens":29363,"cost":{"input":0.0005369999999999999,"output":0.0013319999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0018689999999999998}},"stopReason":"stop","timestamp":1784109737239,"responseId":"4b7762d3-e202-4784-90ea-1934b8437ee9"},{"role":"user","content":"采购到货\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 14:59:11', update_time = '2026-01-22 14:59:11' where ecid = 'hsjm' and arrival_no = 'PAD2026000001';\n\n\n把 时间等于送货时间。\n-- 采购到货主表\n\n\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\n\n把 时间等于送货时间。\n-- 采购到货明细","timestamp":1784109773108,"idempotencyKey":"c1f0893e-59e7-4e66-8ebf-c96466a88991:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `ship_date`（送货时间/发货时间）。\n\n## 采购到货主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购到货明细表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival_detail ad\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON ad.ecid = a.ecid AND ad.arrival_no = a.arrival_no\nSET \n ad.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n ad.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ad.ecid = 'hsjm';\n```\n\n不过我看你的例子里，`ship_date` 和 `arrival_date` 都是 `'2026-01-22'`（同一天）。你说\"时间等于**送货时间**\"，那就是用 `ship_date` 作为日期源，没错吧？还是说你想用 `arrival_date`（到货时间）？\n\n---\n\n## 📋 完整更新清单（截至目前）\n\n| 序号 | 表 | 数据库 | 日期源字段 | 关联方式 |\n|------|-----|--------|-----------|---------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 直接更新 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate` | JOIN 主表 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 直接更新 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 直接更新 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date` | JOIN 主表 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 直接更新 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date` | JOIN 主表 |\n\n还继续有吗？一次性整完 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":427,"output":719,"cacheRead":29312,"cacheWrite":0,"totalTokens":30458,"cost":{"input":0.00042699999999999997,"output":0.001438,"cacheRead":0,"cacheWrite":0,"total":0.001865}},"stopReason":"stop","timestamp":1784109773806,"responseId":"8409c206-8436-4c31-93df-a6c9c78ea7a5"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验","timestamp":1784109808938,"idempotencyKey":"4b7a78ce-766c-439b-8784-ec9eef3f92ac:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**来料检验表**，需要关联**采购到货单**获取 `ship_date`。\n\n关联关系：`qc_task_inspect` 通过某个字段关联到采购到货单？我先看看常见关联方式——通常来料检验单会记录 `arrival_no`（到货单号）和 `ecid`。\n\n如果 `qc_task_inspect` 里有 `arrival_no` 字段，关联到 `dmp_mc_purchase_arrival`：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect qi\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON qi.ecid = a.ecid AND qi.arrival_no = a.arrival_no\nSET \n qi.insp_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.insp_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE qi.ecid = 'hsjm';\n```\n\n不过我需要确认一下——`qc_task_inspect` 里**关联采购到货单的字段名是什么**？常见的有：\n- `arrival_no` — 到货单号\n- `src_bill_no` — 来源单据号\n\n你能看看表结构确认一下关联字段吗？或者直接告诉我 `qc_task_inspect` 里哪个字段存的是到货单号就行。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":317,"output":444,"cacheRead":30336,"cacheWrite":0,"totalTokens":31097,"cost":{"input":0.000317,"output":0.000888,"cacheRead":0,"cacheWrite":0,"total":0.001205}},"stopReason":"stop","timestamp":1784109809545,"responseId":"a97cc980-d1b1-4640-9631-1a5bc07b2155"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验 只有主表","timestamp":1784109834801,"idempotencyKey":"1b1a78a5-b104-491c-8c1a-3388b55520a1:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"只有主表，没有关联明细。那 `qc_task_inspect` 直接用某个字段关联到采购到货单获取 `ship_date`。我需要先看看这个表里有什么关联字段。\n\n让我查一下表结构："},{"type":"toolCall","id":"call00zNFXflO9uvHF88gvemNV1946","name":"exec","arguments":{"command":"mysql -u root -p'YourPassword' -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null || echo \"NEED_PASSWORD\""},"partialArgs":"{\"command\": \"mysql -u root -p'YourPassword' -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null || echo \\\"NEED_PASSWORD\\\"\"}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":320,"output":127,"cacheRead":30976,"cacheWrite":0,"totalTokens":31423,"cost":{"input":0.00031999999999999997,"output":0.000254,"cacheRead":0,"cacheWrite":0,"total":0.000574}},"stopReason":"toolUse","timestamp":1784109835616,"responseId":"6d7b9ef4-7af8-4b71-a201-06dba58c46a8"},{"role":"toolResult","toolCallId":"call00zNFXflO9uvHF88gvemNV1946","toolName":"exec","content":[{"type":"text","text":"NEED_PASSWORD"}],"isError":false,"timestamp":1784109838817},{"role":"assistant","content":[{"type":"toolCall","id":"call00PIuYMg0px60fCGWCIhay2037","name":"exec","arguments":{"command":"mysql -u root -p -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null | head -50","timeout":10},"partialArgs":"{\"command\": \"mysql -u root -p -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null | head -50\", \"timeout\": 10}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":79,"output":90,"cacheRead":31360,"cacheWrite":0,"totalTokens":31529,"cost":{"input":0.000079,"output":0.00017999999999999998,"cacheRead":0,"cacheWrite":0,"total":0.000259}},"stopReason":"toolUse","timestamp":1784109838831,"responseId":"1ac67ea0-15ab-4d4d-8d1a-bec64bd8a1be"},{"role":"toolResult","toolCallId":"call00PIuYMg0px60fCGWCIhay2037","toolName":"exec","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1784109840424},{"role":"assistant","content":[{"type":"text","text":"没有直连数据库的权限，没关系。你看看 `qc_task_inspect` 表里有什么字段可以用来关联到采购到货单？比如：\n\n- `arrival_no`（到货单号）\n- `src_bill_no` / `source_no`（来源单号）\n- `order_no`（采购订单号）\n- 或者其它什么字段？\n\n你告诉我关联字段名，我就能直接写出完整的 SQL 了。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":55,"output":92,"cacheRead":31488,"cacheWrite":0,"totalTokens":31635,"cost":{"input":0.000054999999999999995,"output":0.000184,"cacheRead":0,"cacheWrite":0,"total":0.000239}},"stopReason":"stop","timestamp":1784109840437,"responseId":"e2a7cf1e-c246-4d51-b8a5-498bd181dfce"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验\n-- 批量更新 dmp_smes.qc_task_inspect 的 create_time update_time中的日期部分为 对应insp_time","timestamp":1784109869504,"idempotencyKey":"31a50ea4-daa6-44a6-b525-6e085ebd2335:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"啊，看明白了！你的意思是 **直接用 `insp_time` 作为日期源**，不需要关联到货单：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单汇总\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|--------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 否 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（关联主表） | 是 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 否 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 否 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（关联主表） | 是 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 否 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（关联主表） | 是 |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | 否 |\n\n还有要处理的表吗？一起搞定 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":242,"output":471,"cacheRead":31616,"cacheWrite":0,"totalTokens":32329,"cost":{"input":0.000242,"output":0.0009419999999999999,"cacheRead":0,"cacheWrite":0,"total":0.001184}},"stopReason":"stop","timestamp":1784109870180,"responseId":"0bddd8b3-54ef-4280-b497-c5f6e7c4c117"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in set bill_date='2026-01-23',completed_at='2026-01-24 10:33:27', create_time='2026-01-23 09:56:17',update_time='2026-01-24 10:33:27' where stock_in_no='PE2026000002' and ecid ='hsjm';\n把时间等于最后入库时间。\n-- 采购入库主表\n-- 批量更新 dmp_serp.dmp_im_stock_in 的 create_time update_time中的日期部分为 对应的completed_at","timestamp":1784109898245,"idempotencyKey":"19ea56c9-af6f-4a6e-8331-4c25e67fc817:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `completed_at`（最后入库时间）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（9个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|:----:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n\n还继续有吗？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":229,"output":499,"cacheRead":32256,"cacheWrite":0,"totalTokens":32984,"cost":{"input":0.00022899999999999998,"output":0.000998,"cacheRead":0,"cacheWrite":0,"total":0.001227}},"stopReason":"stop","timestamp":1784109898887,"responseId":"4df6ab45-0f41-4730-9b14-34965a8d2fc5"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in_out_flow_detail set stock_date='2026-01-24',bill_date='2026-01-23',update_time='2026-01-24 09:12:43',create_time='2026-01-23 09:46:37' where flow_no='SIO20260410000001' and ecid ='hsjm';\n\n把时间等于最后入库时间。\n-- 采购出入库记录\n-- 批量更新 dmp_serp.dmp_im_stock_in_out_flow_detail 的 create_time update_time中的日期部分为 对应的stock_date","timestamp":1784109928282,"idempotencyKey":"fc11b4ae-ecb7-44e7-b501-01b59e37bf0c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `stock_date`：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in_out_flow_detail\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（10个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n\n还有吗？一次全整完，然后我给你生成一个**完整的 SQL 脚本文件**，方便你一次性执行 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":247,"output":551,"cacheRead":32896,"cacheWrite":0,"totalTokens":33694,"cost":{"input":0.000247,"output":0.001102,"cacheRead":0,"cacheWrite":0,"total":0.001349}},"stopReason":"stop","timestamp":1784109928948,"responseId":"530e1437-c5c6-4d13-9bd9-ceb4ee9ee99d"},{"role":"user","content":"update dmp_serp.dmp_im_stock_out set bill_date='2026-01-10',delivery_at='2026-01-25 10:26:19', create_time='2026-01-10 11:03:04', update_time='2026-01-25 10:26:19' where stock_out_no='PD2026000127' and ecid='hsjm';\n把时间等于单据日期。\n-- 生产领料单\n-- 批量更新 dmp_serp.dmp_im_stock_out 的 create_time update_time中的日期部分为 对应的bill_date","timestamp":1784109964929,"idempotencyKey":"cce96fb1-3bfc-4883-adaf-9111e6c44dd2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `bill_date`（单据日期）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_out\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（11个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n\n继续还是可以帮你生成完整脚本了？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":185,"output":566,"cacheRead":33664,"cacheWrite":0,"totalTokens":34415,"cost":{"input":0.000185,"output":0.001132,"cacheRead":0,"cacheWrite":0,"total":0.001317}},"stopReason":"stop","timestamp":1784109965649,"responseId":"46255802-137d-4009-afcd-6da8548f271b"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in_out_flow_detail set stock_date='2026-04-05',bill_date='2026-03-21',update_time='2026-04-05 14:07:09',create_time='2026-03-21 12:11:27' where flow_no='SIO20260410000236' and ecid ='hsjm';\n把时间等于单据日期。\n-- -领料出库记录\n-- 批量更新 dmp_serp.dmp_im_stock_in_out_flow_detail 的 create_time update_time中的日期部分为 对应的stock_date","timestamp":1784109993896,"idempotencyKey":"90f480c3-711d-4afa-8813-526c1cba7146:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"这个表之前已经处理过了（序号10），但之前的日期源是 `stock_date`（你说\"时间等于最后入库时间\"），现在这个你说\"时间等于单据日期\"。\n\n那我看看——同一个表 `dmp_im_stock_in_out_flow_detail`，之前是入库记录用 `stock_date`，现在是出库记录也用 `stock_date`，其实是一样的对吧？\n\n那我保持之前的脚本不变（用 `stock_date` 作为日期源），它已经覆盖了这个表的所有 `ecid = 'hsjm'` 记录：\n\n```sql\n-- 已在序号10中覆盖，无需重复\n```\n\n不过如果你想**区分入库和出库**来用不同的日期源，那就需要告诉我用什么字段来区分（比如单据类型字段）。\n\n还是说这个表统一用 `stock_date` 就行了？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":270,"output":172,"cacheRead":34304,"cacheWrite":0,"totalTokens":34746,"cost":{"input":0.00027,"output":0.00034399999999999996,"cacheRead":0,"cacheWrite":0,"total":0.000614}},"stopReason":"stop","timestamp":1784109994584,"responseId":"0e44ed7f-eb7e-4ba0-a1c8-3045b209ec87"},{"role":"user","content":"UPDATE dmp_smes.dmp_me_work_operate_record_detail SET stock_in_date ='2026-02-07',report_date ='2026-02-06 14:06:18',create_time ='2026-02-06 14:06:18',update_time='2026-02-06 14:06:18' WHERE batch_no='MSN00000919' AND ecid ='hsjm';\n\n把时间等于报工日期。\n-- 生产报工记录\n-- 批量更新 dmp_smes.dmp_me_work_operate_record_detail 的 create_time update_time中的日期部分为 对应的report_date","timestamp":1784110030260,"idempotencyKey":"18cd925e-1adf-452f-a337-09bcf00c489c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `report_date`（报工日期）：\n\n```sql\nUPDATE dmp_smes.dmp_me_work_operate_record_detail\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(report_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(report_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（12个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n| 12 | `dmp_me_work_operate_record_detail` | `dmp_smes` | `report_date` | ❌ |\n\n还有吗？差不多了吧，要不要我帮你生成一个**完整的 SQL 脚本文件**？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":223,"output":613,"cacheRead":34688,"cacheWrite":0,"totalTokens":35524,"cost":{"input":0.000223,"output":0.0012259999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0014489999999999998}},"stopReason":"stop","timestamp":1784110031005,"responseId":"05098369-82e0-49aa-8fb8-ace75f94ba2c"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in set bill_date='2026-02-06',completed_at='2026-02-07 11:13:38', create_time='2026-02-06 14:06:18',update_time='2026-02-07 11:13:38' where stock_in_no='PI2604100002' and ecid ='hsjm';\n\n把时间等于单据日期。\n-- 生产入库单\n-- 批量更新 dmp_serp.dmp_im_stock_in 的 create_time update_time中的日期部分为 对应的bill_date","timestamp":1784110061318,"idempotencyKey":"b2248248-f715-42f6-9b39-d10f30b2d7c2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"之前序号9用的 `completed_at`，现在改成用 `bill_date`。以你最新的要求为准，更新脚本：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 最终更新清单（12个表，已按最新要求修正）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `bill_date` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n| 12 | `dmp_me_work_operate_record_detail` | `dmp_smes` | `report_date` | ❌ |\n\n还要继续加表吗？还是我帮你把这 12 条 SQL 生成一个完整的脚本文件，方便你一键执行？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":222,"output":636,"cacheRead":35456,"cacheWrite":0,"totalTokens":36314,"cost":{"input":0.000222,"output":0.001272,"cacheRead":0,"cacheWrite":0,"total":0.0014939999999999999}},"stopReason":"stop","timestamp":1784110062026,"responseId":"44204c2c-90d6-418f-8e5c-1a5559d966fc"},{"role":"user","content":[{"type":"text","text":"update dmp_serp.dmp_om_deliver_order set create_time ='2026-02-08 16:17:09',update_time ='2026-02-08 16:17:09',om_deliverdate ='2026-02-08' where ecid ='hsjm' and om_deliverorder ='FHO2026000003';\n把时间等于要求发货日期。\n-- 销售发货单\n-- 批量更新 dmp_serp.dmp_om_deliver_order 的 create_time update_time中的日期部分为 对应的om_deliverdate\n\nupdate dmp_serp.dmp_om_deliver_productinfo set create_time ='2026-02-08 10:00:40',update_time ='2026-02-08 10:00:40' where ecid ='hsjm' and om_deliverorder ='FHO2026000002';\nupdate dmp_serp.dmp_om_deliver_productinfo set create_time ='2026-02-08 16:17:09',update_time ='2026-02-08 16:17:09' where ecid ='hsjm' and om_deliverorder ='FHO2026000003';\n把时间等于要求发货日期。\n-- 发货单明细\n-- 批量更新 dmp_serp.dmp_om_deliver_productinfo 的 create_time update_time中的日期部分为 对应的om_deliverdate\n-- 根据 dmp_serp.dmp_om_deliver_productinfo.om_deliverorder ecid 关联 dmp_serp.dmp_om_deliver_order.om_deliverorder ecid"}],"timestamp":1784110154197},{"role":"assistant","content":[{"type":"text","text":"好，两个表一起处理。\n\n## 销售发货单主表\n\n```sql\nUPDATE dmp_serp.dmp_om_deliver_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_deliverdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_deliverdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 发货单明细表\n\n```sql\nUPDATE dmp_serp.dmp_om_deliver_productinfo dpi\nJOIN dmp_serp.dmp_om_deliver_order d\n ON dpi.ecid = d.ecid AND dpi.om_deliverorder = d.om_deliverorder\nSET \n dpi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(d.om_deliverdate, '%Y-%m-%d'), ' ', DATE_FORMAT(dpi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n dpi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(d.om_deliverdate, '%Y-%m-%d'), ' ', DATE_FORMAT(dpi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE dpi.ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（14个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `bill_date` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n| 12 | `dmp_me_work_operate_record_detail` | `dmp_smes` | `report_date` | ❌ |\n| 13 | `dmp_om_deliver_order` | `dmp_serp` | `om_deliverdate` | ❌ |\n| 14 | `dmp_om_deliver_productinfo` | `dmp_serp` | `om_deliverdate`（JOIN 主表） | ✅ |\n\n还要继续吗？差不多了的话我帮你生成完整 SQL 脚本文件？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":488,"output":908,"cacheRead":36224,"cacheWrite":0,"totalTokens":37620,"cost":{"input":0.000488,"output":0.001816,"cacheRead":0,"cacheWrite":0,"total":0.002304}},"stopReason":"stop","timestamp":1784110154228,"responseId":"cc8fab7c-7b8b-43d3-a996-67bab9d75632"}]}}
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Use when Codex needs to: (1) Create or modify database tables with proper indexing, (2) Perform bulk data insertions with type safety and constraint handling, (3) Execute complex queries with JOINs, aggregations, and subqueries, (4) Optimize query performance through indexing and execution plan analysis, (5) Manage database backups, restores, and migrations, (6) Handle special data types (BIGINT, UUID, JSONB, enums), (7) Implement transactional safety with ACID compliance, or (8) Debug and resolve database errors including constraint violations, type mismatches, and foreign key issues","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/database-admin/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/database-admin","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/database-admin","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/database-admin/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"database-schema-designer","name":"database-schema-designer","description":"Database Schema Designer","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/database-schema-designer/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/database-schema-designer","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/database-schema-designer","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/database-schema-designer/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"db-query","name":"db-query","description":"Query project databases with automatic SSH tunnel management. Use when you need to execute SQL queries against configured databases, especially those accessible only via SSH tunnels. Automatically manages SSH connection lifecycle (establishes tunnel before query, closes after). Supports multiple databases distinguished by description/name from config file.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/db-query/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/db-query","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/db-query","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/db-query/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"db-schema","name":"db-schema","description":"Generate database schemas, migrations, and ERD diagrams from plain English descriptions — supports PostgreSQL, MySQL, SQLite, and MongoDB with proper indexes and constraints.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/db-schema-gen/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/db-schema-gen","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/db-schema-gen","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/db-schema-gen/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"deep-research-pro","name":"deep-research-pro","description":"Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/deep-research-pro/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/deep-research-pro","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/deep-research-pro","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/deep-research-pro/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"diagram-maker","name":"diagram-maker","description":"Create SVG/HTML or Excalidraw diagrams for concepts, architecture, flows, and whiteboards.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"dingtalk-channel-rules","name":"dingtalk-channel-rules","description":"钉钉会话输出规则。在钉钉会话中始终生效。","filePath":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-channel-rules/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-channel-rules","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-channel-rules","origin":"top-level","path":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-channel-rules/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"dingtalk-troubleshoot","name":"dingtalk-troubleshoot","description":"钉钉连接器问题排查。包含 dws CLI 常见错误处理、授权问题排查和连接故障诊断。\n当 dws 命令执行失败、授权异常、连接中断时自动激活。","filePath":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-troubleshoot/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-troubleshoot","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-troubleshoot","origin":"top-level","path":"$OPENCLAW_STATE_DIR/plugin-skills/dingtalk-troubleshoot/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"docker-essentials","name":"docker-essentials","description":"Essential Docker commands and workflows for container management, image operations, and debugging.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/docker-essentials/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/docker-essentials","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/docker-essentials","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/docker-essentials/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"dws","name":"dws","description":"管理钉钉产品能力(AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/开放平台文档/钉钉文档/钉钉云盘/AI听记/邮箱/在线电子表格/知识库等)。当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报（钉钉日志模版）、读写钉钉文档、上传下载云盘文件、查询听记纪要、收发邮件、读写在线电子表格(axls)、管理钉钉知识库时使用。","filePath":"$OPENCLAW_STATE_DIR/skills/dws/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/skills/dws","source":"openclaw-managed","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/skills/dws","origin":"top-level","path":"$OPENCLAW_STATE_DIR/skills/dws/SKILL.md","scope":"project","source":"openclaw-managed"},"disableModelInvocation":false,"available":true},{"id":"dws-cli","name":"dws-cli","description":"在钉钉会话中通过 dws CLI 管理钉钉产品能力（AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/工作台等）。\n当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报时使用。","filePath":"$OPENCLAW_STATE_DIR/plugin-skills/dws-cli/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dws-cli","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/plugin-skills/dws-cli","origin":"top-level","path":"$OPENCLAW_STATE_DIR/plugin-skills/dws-cli/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"healthcheck","name":"healthcheck","description":"Audit/harden OpenClaw hosts: SSH, firewall, updates, exposure, backups, disk encryption, gateway security.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"humanizer","name":"humanizer","description":"Remove signs of AI-generated writing from text. Use when editing or reviewing\ntext to make it sound more natural and human-written. Based on Wikipedia's\ncomprehensive \"Signs of AI writing\" guide. Detects and fixes patterns including:\ninflated symbolism, promotional language, superficial -ing analyses, vague\nattributions, em dash overuse, rule of three, AI vocabulary words, negative\nparallelisms, and excessive conjunctive phrases.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"imap-smtp-email","name":"imap-smtp-email","description":"Read and send email via IMAP/SMTP. Check for new/unread messages, fetch content, search mailboxes, mark as read/unread, and send emails with attachments. Supports multiple accounts. Works with any IMAP/SMTP server including Gmail, Outlook, 163.com, vip.163.com, 126.com, vip.126.com, 188.com, and vip.188.com.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"meme-maker","name":"meme-maker","description":"Search meme templates, suggest formats, and generate local or hosted image memes.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"multi-search-engine","name":"multi-search-engine","description":"Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"MySQL","name":"MySQL","description":"Write correct MySQL queries with proper character sets, indexing, transactions, and production patterns.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"news-summary","name":"news-summary","description":"This skill should be used when the user asks for news updates, daily briefings, or what's happening in the world. Fetches news from trusted international RSS feeds and can create voice summaries.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"node-connect","name":"node-connect","description":"Diagnose OpenClaw Android, iOS, or macOS node pairing, QR/setup code, route, auth, and connection failures.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"node-inspect-debugger","name":"node-inspect-debugger","description":"Debug Node.js with node inspect, --inspect, breakpoints, CDP, heap, and CPU profiles.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"obsidian-official-cli","name":"obsidian-official-cli","description":"Work with Obsidian vaults using the official Obsidian CLI (v1.12+). Open, search, create, move, and manage notes from the terminal. Use when working with Obsidian vaults for note management, file operations, searching content, managing tasks, properties, links, plugins, themes, sync operations, or any command-line interaction with Obsidian.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"opencode-controller","name":"opencode-controller","description":"Control and operate Opencode via slash commands. Use this skill to manage sessions, select models, switch agents (plan/build), and coordinate coding through Opencode.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"openspec","name":"openspec","description":"Spec-driven development with OpenSpec CLI. Use when building features, migrations, refactors, or any structured development work. Manages proposal → specs → design → tasks → implementation workflows. Supports custom schemas (TDD, rapid, etc.). Trigger on requests involving feature planning, spec writing, change management, or when /opsx commands are mentioned.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/openspec/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/openspec","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/openspec","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/openspec/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"python-debugpy","name":"python-debugpy","description":"Debug Python with pdb, breakpoint(), post-mortem inspection, and debugpy remote attach.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"qiushi-openclaw-skills","name":"qiushi-openclaw-skills","description":"求是 OpenClaw Skills 是基于毛泽东思想方法论的 AI Agent 技能集合，按照 OpenClaw 技能格式进行改造，旨在为 AI 提供系统化的思考和行动框架。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"requirements-analyst","name":"requirements-analyst","description":"将产品需求转化为前后端可执行的技术规范，输出离线性优先的结构化文档。当用户提出产品需求、PRD、功能描述或模糊想法时自动触发。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"rss-ai-reader","name":"rss-ai-reader","description":"📰 RSS AI 阅读器 — 自动抓取订阅、LLM生成摘要、多渠道推送！\n支持 Claude/OpenAI 生成中文摘要，推送到飞书/Telegram/Email。\n触发条件: 用户要求订阅RSS、监控博客、抓取新闻、生成摘要、设置定时抓取、\n\"帮我订阅\"、\"监控这个网站\"、\"每天推送新闻\"、RSS/Atom feed 相关。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"skill-creator","name":"skill-creator","description":"Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"spike","name":"spike","description":"Run throwaway prototypes to validate feasibility, compare approaches, and report a verdict.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"Spreadsheet & Data Wrangling Master","name":"Spreadsheet & Data Wrangling Master","description":"Complete spreadsheet methodology — data cleanup, transformation, analysis, dashboards, automation, and reporting. Works with CSV, Excel, Google Sheets, or any tabular data. Use when the user needs to clean messy data, build reports, create dashboards, automate recurring spreadsheet tasks, or transform data between formats.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"sql-toolkit","name":"sql-toolkit","description":"Query, design, migrate, and optimize SQL databases. Use when working with SQLite, PostgreSQL, or MySQL — schema design, writing queries, creating migrations, indexing, backup/restore, and debugging slow queries. No ORMs required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"taskflow","name":"taskflow","description":"Coordinate multi-step detached tasks as one durable TaskFlow job with owner context, state, waits, and child tasks.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"taskflow-inbox-triage","name":"taskflow-inbox-triage","description":"Example TaskFlow pattern for inbox triage, intent routing, waiting on replies, and later summaries.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"using-superpowers","name":"using-superpowers","description":"Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"weather","name":"weather","description":"Get current weather and forecasts (no API key required).","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/weather/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/weather","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/weather","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/weather/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"web-search","name":"web-search","description":"This skill should be used when users need to search the web for information, find current content, look up news articles, search for images, or find videos. It uses a self-hosted SearXNG instance to return results in clean, formatted output (text, markdown, or JSON). Use for research, fact-checking, finding recent information, or gathering web resources.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/web-search/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/web-search","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/web-search","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/web-search/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true}]},"prompting":{"skillsPrompt":"\n\nThe following skills provide specialized instructions for specific tasks.\nUse the read tool to load a skill's file when the task matches its description.\nIf a skill's <version> differs from a previous turn, re-read its SKILL.md before using it.\nWhen a skill file references a relative path, resolve it against the skill directory (parent of SKILL.md / dirname of the path) and use that absolute path in tool commands.\n\n<available_skills>\n <skill>\n <name>agent-browser</name>\n <description>Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection</description>\n <location>~/.openclaw/workspace/skills/agent-browser-clawdbot/SKILL.md</location>\n <version>sha256:9643b9c65476eedd</version>\n </skill>\n <skill>\n <name>chinese-calendar</name>\n <description>获取中国日历信息，包括节假日、调休安排、工作日判断。使用 timor.tech API，数据每年自动更新。Use when: 需要判断某天是否是工作日、查询节假日安排、了解调休情况。</description>\n <location>~/.openclaw/workspace/skills/chinese-calendar/SKILL.md</location>\n <version>sha256:40a9ba942647e641</version>\n </skill>\n <skill>\n <name>clawhub</name>\n <description>Search ClawHub for skills when a requested capability is not already available; install, verify, update, publish, or sync skills.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/clawhub/SKILL.md</location>\n <version>sha256:6bb70d95cbd1a545</version>\n </skill>\n <skill>\n <name>Code</name>\n <description>Coding workflow with planning, implementation, verification, and testing for clean software development.</description>\n <location>~/.openclaw/workspace/skills/openclaw-code/SKILL.md</location>\n <version>sha256:f09694134cc55cc0</version>\n </skill>\n <skill>\n <name>database-admin</name>\n <description>Comprehensive database administration, schema management, data operations, and optimization. Use when Codex needs to: (1) Create or modify database tables with proper indexing, (2) Perform bulk data insertions with type safety and constraint handling, (3) Execute complex queries with JOINs, aggregations, and subqueries, (4) Optimize query performance through indexing and execution plan analysis, (5) Manage database backups, restores, and migrations, (6) Handle special data types (BIGINT, UUID, JSONB, enums), (7) Implement transactional safety with ACID compliance, or (8) Debug and resolve database errors including constraint violations, type mismatches, and foreign key issues</description>\n <location>~/.openclaw/workspace/skills/database-admin/SKILL.md</location>\n <version>sha256:7649e43727f2fb8b</version>\n </skill>\n <skill>\n <name>database-schema-designer</name>\n <description>Database Schema Designer</description>\n <location>~/.openclaw/workspace/skills/database-schema-designer/SKILL.md</location>\n <version>sha256:3f2282ec8135dfdf</version>\n </skill>\n <skill>\n <name>db-query</name>\n <description>Query project databases with automatic SSH tunnel management. Use when you need to execute SQL queries against configured databases, especially those accessible only via SSH tunnels. Automatically manages SSH connection lifecycle (establishes tunnel before query, closes after). Supports multiple databases distinguished by description/name from config file.</description>\n <location>~/.openclaw/workspace/skills/db-query/SKILL.md</location>\n <version>sha256:eaffe1e617f2b8f2</version>\n </skill>\n <skill>\n <name>db-schema</name>\n <description>Generate database schemas, migrations, and ERD diagrams from plain English descriptions — supports PostgreSQL, MySQL, SQLite, and MongoDB with proper indexes and constraints.</description>\n <location>~/.openclaw/workspace/skills/db-schema-gen/SKILL.md</location>\n <version>sha256:c511ce8bb306f227</version>\n </skill>\n <skill>\n <name>deep-research-pro</name>\n <description>Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.</description>\n <location>~/.openclaw/workspace/skills/deep-research-pro/SKILL.md</location>\n <version>sha256:a780f8bbec442198</version>\n </skill>\n <skill>\n <name>diagram-maker</name>\n <description>Create SVG/HTML or Excalidraw diagrams for concepts, architecture, flows, and whiteboards.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker/SKILL.md</location>\n <version>sha256:6195e03fcb04a1a6</version>\n </skill>\n <skill>\n <name>dingtalk-channel-rules</name>\n <description>钉钉会话输出规则。在钉钉会话中始终生效。</description>\n <location>~/.openclaw/plugin-skills/dingtalk-channel-rules/SKILL.md</location>\n <version>sha256:4abd7ff39fd8ab23</version>\n </skill>\n <skill>\n <name>dingtalk-troubleshoot</name>\n <description>钉钉连接器问题排查。包含 dws CLI 常见错误处理、授权问题排查和连接故障诊断。\n当 dws 命令执行失败、授权异常、连接中断时自动激活。</description>\n <location>~/.openclaw/plugin-skills/dingtalk-troubleshoot/SKILL.md</location>\n <version>sha256:831e1260e77bcf9b</version>\n </skill>\n <skill>\n <name>docker-essentials</name>\n <description>Essential Docker commands and workflows for container management, image operations, and debugging.</description>\n <location>~/.openclaw/workspace/skills/docker-essentials/SKILL.md</location>\n <version>sha256:bf8120febd5275b0</version>\n </skill>\n <skill>\n <name>dws</name>\n <description>管理钉钉产品能力(AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/开放平台文档/钉钉文档/钉钉云盘/AI听记/邮箱/在线电子表格/知识库等)。当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报（钉钉日志模版）、读写钉钉文档、上传下载云盘文件、查询听记纪要、收发邮件、读写在线电子表格(axls)、管理钉钉知识库时使用。</description>\n <location>~/.openclaw/skills/dws/SKILL.md</location>\n <version>sha256:25f131a2e41eeeca</version>\n </skill>\n <skill>\n <name>dws-cli</name>\n <description>在钉钉会话中通过 dws CLI 管理钉钉产品能力（AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/工作台等）。\n当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报时使用。</description>\n <location>~/.openclaw/plugin-skills/dws-cli/SKILL.md</location>\n <version>sha256:e1e0cb89e56c9a8d</version>\n </skill>\n <skill>\n <name>healthcheck</name>\n <description>Audit/harden OpenClaw hosts: SSH, firewall, updates, exposure, backups, disk encryption, gateway security.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck/SKILL.md</location>\n <version>sha256:518ec6e0482cf1c7</version>\n </skill>\n <skill>\n <name>humanizer</name>\n <description>Remove signs of AI-generated writing from text. Use when editing or reviewing\ntext to make it sound more natural and human-written. Based on Wikipedia's\ncomprehensive "Signs of AI writing" guide. Detects and fixes patterns including:\ninflated symbolism, promotional language, superficial -ing analyses, vague\nattributions, em dash overuse, rule of three, AI vocabulary words, negative\nparallelisms, and excessive conjunctive phrases.</description>\n <location>~/.openclaw/workspace/skills/humanizer/SKILL.md</location>\n <version>sha256:d7ce483d368e4301</version>\n </skill>\n <skill>\n <name>imap-smtp-email</name>\n <description>Read and send email via IMAP/SMTP. Check for new/unread messages, fetch content, search mailboxes, mark as read/unread, and send emails with attachments. Supports multiple accounts. Works with any IMAP/SMTP server including Gmail, Outlook, 163.com, vip.163.com, 126.com, vip.126.com, 188.com, and vip.188.com.</description>\n <location>~/.openclaw/workspace/skills/imap-smtp-email/SKILL.md</location>\n <version>sha256:01345a894f2863a4</version>\n </skill>\n <skill>\n <name>meme-maker</name>\n <description>Search meme templates, suggest formats, and generate local or hosted image memes.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md</location>\n <version>sha256:8b8832f9f0f58b16</version>\n </skill>\n <skill>\n <name>multi-search-engine</name>\n <description>Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required.</description>\n <location>~/.openclaw/workspace/skills/multi-search-engine/SKILL.md</location>\n <version>sha256:ef2d2706e82ad0fc</version>\n </skill>\n <skill>\n <name>MySQL</name>\n <description>Write correct MySQL queries with proper character sets, indexing, transactions, and production patterns.</description>\n <location>~/.openclaw/workspace/skills/MySQL/SKILL.md</location>\n <version>sha256:97003e1d9502f459</version>\n </skill>\n <skill>\n <name>news-summary</name>\n <description>This skill should be used when the user asks for news updates, daily briefings, or what's happening in the world. Fetches news from trusted international RSS feeds and can create voice summaries.</description>\n <location>~/.openclaw/workspace/skills/news-summary/SKILL.md</location>\n <version>sha256:1b4c45b56f567567</version>\n </skill>\n <skill>\n <name>node-connect</name>\n <description>Diagnose OpenClaw Android, iOS, or macOS node pairing, QR/setup code, route, auth, and connection failures.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md</location>\n <version>sha256:cc39026fd84e5cfa</version>\n </skill>\n <skill>\n <name>node-inspect-debugger</name>\n <description>Debug Node.js with node inspect, --inspect, breakpoints, CDP, heap, and CPU profiles.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md</location>\n <version>sha256:50d2f6828eaf4bbf</version>\n </skill>\n <skill>\n <name>obsidian-official-cli</name>\n <description>Work with Obsidian vaults using the official Obsidian CLI (v1.12+). Open, search, create, move, and manage notes from the terminal. Use when working with Obsidian vaults for note management, file operations, searching content, managing tasks, properties, links, plugins, themes, sync operations, or any command-line interaction with Obsidian.</description>\n <location>~/.openclaw/workspace/skills/obsidian-official-cli/SKILL.md</location>\n <version>sha256:d9c66873957818a1</version>\n </skill>\n <skill>\n <name>opencode-controller</name>\n <description>Control and operate Opencode via slash commands. Use this skill to manage sessions, select models, switch agents (plan/build), and coordinate coding through Opencode.</description>\n <location>~/.openclaw/workspace/skills/opencode-controller/SKILL.md</location>\n <version>sha256:6535df08ba8b0bbc</version>\n </skill>\n <skill>\n <name>openspec</name>\n <description>Spec-driven development with OpenSpec CLI. Use when building features, migrations, refactors, or any structured development work. 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sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate \n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","timestamp":1784109538113,"idempotencyKey":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"},{"role":"user","content":"保留原时分秒，只改日期部分\nUPDATE dmp_spom.dmp_mrp_main_plan_task SET plan_start_time='2026-07-07 11:03:04',create_time='2026-07-07 10:58:04',update_time='2026-07-07 11:03:04' WHERE ecid='kanda' AND plan_no='PLAN2026071414255193535522';\n-- 物料计划主表\n-- 批量更新 dmp_spom.dmp_mrp_main_plan_task 的 create_time update_time中的日期部分为 对应的plan_start_time","timestamp":1784109596434,"idempotencyKey":"7c28a842-8a9f-4cc4-9094-1298d4ce1a5c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**物料计划主表 `dmp_mrp_main_plan_task`**，要把 `create_time` 和 `update_time` 的日期部分改为对应的 `plan_start_time`，保留原时分秒。\n\n## 更新脚本\n\n```sql\nUPDATE dmp_spom.dmp_mrp_main_plan_task\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'kanda';\n```\n\n范围条件？我看你前面说的是\"计划开始时间是7月份的数据\"，但 `plan_start_time` 看样例已经是 7 月份。你对范围有要求吗？比如：\n\n```sql\n-- 如果只要 plan_start_time 在7月份的数据\nAND plan_start_time >= '2026-07-01' AND plan_start_time < '2026-08-01'\n\n-- 或者只要 plan_start_time 日期和 create_time 日期不一致的（避免无意义更新）\nAND DATE(plan_start_time) != DATE(create_time)\n```\n\n需要加范围条件吗？还是直接全量更新 `ecid = 'kanda'` 的所有记录？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":1021,"output":340,"cacheRead":26880,"cacheWrite":0,"totalTokens":28241,"cost":{"input":0.001021,"output":0.0006799999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0017009999999999998}},"stopReason":"stop","timestamp":1784109597165,"responseId":"3546056a-f6d1-4805-b0d2-e4d5739d2293"},{"role":"user","content":"采购订单\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37' where ecid = 'hsjm' and order_no ='PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 16:10:47', update_time ='2026-01-12 16:10:47' where ecid = 'hsjm' and order_no ='PO2026000002';\n把 时间等于下单时间。\n-- 采购订单\n-- 批量更新 dmp_serp.dmp_mc_purchase_order 的 create_time update_time中的日期部分为 对应的order_date\n\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\n把 时间等于下单时间。\n\n-- 采购明细表\n-- 批量更新 dmp_serp.dmp_mc_purchase_order_detail 的 create_time update_time中的日期部分为 对应的order_date","timestamp":1784109736511,"idempotencyKey":"dea79fe3-9e82-4fcc-932b-78fe7ffb7ea2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，两个表一起处理，都是**采购订单**相关，用 `order_date` 作为日期源。\n\n## 采购订单主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购订单明细表\n\n明细表需要通过 `order_no` 和 `ecid` 关联主表获取 `order_date`：\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order_detail pd\nJOIN dmp_serp.dmp_mc_purchase_order po \n ON pd.ecid = po.ecid AND pd.order_no = po.order_no\nSET \n pd.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pd.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE pd.ecid = 'hsjm';\n```\n\n同样你提到的 **plan_arrival_date**——明细表里也有这个字段，看你样例里也在改它。但你的需求描述里只提了 `create_time` 和 `update_time`，`plan_arrival_date` 是否需要基于主表的 `plan_arrival_date` 同步更新？如果需要，可以加上：\n\n```sql\n-- 在明细表的 SET 中加上 plan_arrival_date 同步\n pd.plan_arrival_date = po.plan_arrival_date,\n```\n\n---\n\n汇总一下你到目前为止的更新清单：\n\n| 序号 | 表 | 日期源字段 |\n|------|-----|-----------|\n| 1 | `dmp_serp.dmp_om_order` | `om_orderdate` |\n| 2 | `dmp_serp.dmp_om_productinfo` | 关联主表 `om_orderdate` |\n| 3 | `dmp_spom.dmp_mrp_main_plan_task` | `plan_start_time` |\n| 4 | `dmp_serp.dmp_mc_purchase_order` | `order_date` |\n| 5 | `dmp_serp.dmp_mc_purchase_order_detail` | 关联主表 `order_date` |\n\n还有其他表要处理吗？一次性都帮你搞定 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":537,"output":666,"cacheRead":28160,"cacheWrite":0,"totalTokens":29363,"cost":{"input":0.0005369999999999999,"output":0.0013319999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0018689999999999998}},"stopReason":"stop","timestamp":1784109737239,"responseId":"4b7762d3-e202-4784-90ea-1934b8437ee9"},{"role":"user","content":"采购到货\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 14:59:11', update_time = '2026-01-22 14:59:11' where ecid = 'hsjm' and arrival_no = 'PAD2026000001';\n\n\n把 时间等于送货时间。\n-- 采购到货主表\n\n\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\n\n把 时间等于送货时间。\n-- 采购到货明细","timestamp":1784109773108,"idempotencyKey":"c1f0893e-59e7-4e66-8ebf-c96466a88991:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `ship_date`（送货时间/发货时间）。\n\n## 采购到货主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购到货明细表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival_detail ad\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON ad.ecid = a.ecid AND ad.arrival_no = a.arrival_no\nSET \n ad.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n ad.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ad.ecid = 'hsjm';\n```\n\n不过我看你的例子里，`ship_date` 和 `arrival_date` 都是 `'2026-01-22'`（同一天）。你说\"时间等于**送货时间**\"，那就是用 `ship_date` 作为日期源，没错吧？还是说你想用 `arrival_date`（到货时间）？\n\n---\n\n## 📋 完整更新清单（截至目前）\n\n| 序号 | 表 | 数据库 | 日期源字段 | 关联方式 |\n|------|-----|--------|-----------|---------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 直接更新 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate` | JOIN 主表 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 直接更新 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 直接更新 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date` | JOIN 主表 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 直接更新 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date` | JOIN 主表 |\n\n还继续有吗？一次性整完 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":427,"output":719,"cacheRead":29312,"cacheWrite":0,"totalTokens":30458,"cost":{"input":0.00042699999999999997,"output":0.001438,"cacheRead":0,"cacheWrite":0,"total":0.001865}},"stopReason":"stop","timestamp":1784109773806,"responseId":"8409c206-8436-4c31-93df-a6c9c78ea7a5"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验","timestamp":1784109808938,"idempotencyKey":"4b7a78ce-766c-439b-8784-ec9eef3f92ac:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**来料检验表**，需要关联**采购到货单**获取 `ship_date`。\n\n关联关系：`qc_task_inspect` 通过某个字段关联到采购到货单？我先看看常见关联方式——通常来料检验单会记录 `arrival_no`（到货单号）和 `ecid`。\n\n如果 `qc_task_inspect` 里有 `arrival_no` 字段，关联到 `dmp_mc_purchase_arrival`：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect qi\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON qi.ecid = a.ecid AND qi.arrival_no = a.arrival_no\nSET \n qi.insp_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.insp_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE qi.ecid = 'hsjm';\n```\n\n不过我需要确认一下——`qc_task_inspect` 里**关联采购到货单的字段名是什么**？常见的有：\n- `arrival_no` — 到货单号\n- `src_bill_no` — 来源单据号\n\n你能看看表结构确认一下关联字段吗？或者直接告诉我 `qc_task_inspect` 里哪个字段存的是到货单号就行。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":317,"output":444,"cacheRead":30336,"cacheWrite":0,"totalTokens":31097,"cost":{"input":0.000317,"output":0.000888,"cacheRead":0,"cacheWrite":0,"total":0.001205}},"stopReason":"stop","timestamp":1784109809545,"responseId":"a97cc980-d1b1-4640-9631-1a5bc07b2155"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验 只有主表","timestamp":1784109834801,"idempotencyKey":"1b1a78a5-b104-491c-8c1a-3388b55520a1:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"只有主表，没有关联明细。那 `qc_task_inspect` 直接用某个字段关联到采购到货单获取 `ship_date`。我需要先看看这个表里有什么关联字段。\n\n让我查一下表结构："},{"type":"toolCall","id":"call00zNFXflO9uvHF88gvemNV1946","name":"exec","arguments":{"command":"mysql -u root -p'YourPassword' -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null || echo \"NEED_PASSWORD\""},"partialArgs":"{\"command\": \"mysql -u root -p'YourPassword' -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null || echo \\\"NEED_PASSWORD\\\"\"}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":320,"output":127,"cacheRead":30976,"cacheWrite":0,"totalTokens":31423,"cost":{"input":0.00031999999999999997,"output":0.000254,"cacheRead":0,"cacheWrite":0,"total":0.000574}},"stopReason":"toolUse","timestamp":1784109835616,"responseId":"6d7b9ef4-7af8-4b71-a201-06dba58c46a8"},{"role":"toolResult","toolCallId":"call00zNFXflO9uvHF88gvemNV1946","toolName":"exec","content":[{"type":"text","text":"NEED_PASSWORD"}],"isError":false,"timestamp":1784109838817},{"role":"assistant","content":[{"type":"toolCall","id":"call00PIuYMg0px60fCGWCIhay2037","name":"exec","arguments":{"command":"mysql -u root -p -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null | head -50","timeout":10},"partialArgs":"{\"command\": \"mysql -u root -p -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null | head -50\", \"timeout\": 10}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":79,"output":90,"cacheRead":31360,"cacheWrite":0,"totalTokens":31529,"cost":{"input":0.000079,"output":0.00017999999999999998,"cacheRead":0,"cacheWrite":0,"total":0.000259}},"stopReason":"toolUse","timestamp":1784109838831,"responseId":"1ac67ea0-15ab-4d4d-8d1a-bec64bd8a1be"},{"role":"toolResult","toolCallId":"call00PIuYMg0px60fCGWCIhay2037","toolName":"exec","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1784109840424},{"role":"assistant","content":[{"type":"text","text":"没有直连数据库的权限，没关系。你看看 `qc_task_inspect` 表里有什么字段可以用来关联到采购到货单？比如：\n\n- `arrival_no`（到货单号）\n- `src_bill_no` / `source_no`（来源单号）\n- `order_no`（采购订单号）\n- 或者其它什么字段？\n\n你告诉我关联字段名，我就能直接写出完整的 SQL 了。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":55,"output":92,"cacheRead":31488,"cacheWrite":0,"totalTokens":31635,"cost":{"input":0.000054999999999999995,"output":0.000184,"cacheRead":0,"cacheWrite":0,"total":0.000239}},"stopReason":"stop","timestamp":1784109840437,"responseId":"e2a7cf1e-c246-4d51-b8a5-498bd181dfce"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验\n-- 批量更新 dmp_smes.qc_task_inspect 的 create_time update_time中的日期部分为 对应insp_time","timestamp":1784109869504,"idempotencyKey":"31a50ea4-daa6-44a6-b525-6e085ebd2335:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"啊，看明白了！你的意思是 **直接用 `insp_time` 作为日期源**，不需要关联到货单：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单汇总\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|--------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 否 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（关联主表） | 是 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 否 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 否 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（关联主表） | 是 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 否 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（关联主表） | 是 |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | 否 |\n\n还有要处理的表吗？一起搞定 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":242,"output":471,"cacheRead":31616,"cacheWrite":0,"totalTokens":32329,"cost":{"input":0.000242,"output":0.0009419999999999999,"cacheRead":0,"cacheWrite":0,"total":0.001184}},"stopReason":"stop","timestamp":1784109870180,"responseId":"0bddd8b3-54ef-4280-b497-c5f6e7c4c117"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in set bill_date='2026-01-23',completed_at='2026-01-24 10:33:27', create_time='2026-01-23 09:56:17',update_time='2026-01-24 10:33:27' where stock_in_no='PE2026000002' and ecid ='hsjm';\n把时间等于最后入库时间。\n-- 采购入库主表\n-- 批量更新 dmp_serp.dmp_im_stock_in 的 create_time update_time中的日期部分为 对应的completed_at","timestamp":1784109898245,"idempotencyKey":"19ea56c9-af6f-4a6e-8331-4c25e67fc817:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `completed_at`（最后入库时间）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（9个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|:----:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n\n还继续有吗？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":229,"output":499,"cacheRead":32256,"cacheWrite":0,"totalTokens":32984,"cost":{"input":0.00022899999999999998,"output":0.000998,"cacheRead":0,"cacheWrite":0,"total":0.001227}},"stopReason":"stop","timestamp":1784109898887,"responseId":"4df6ab45-0f41-4730-9b14-34965a8d2fc5"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in_out_flow_detail set stock_date='2026-01-24',bill_date='2026-01-23',update_time='2026-01-24 09:12:43',create_time='2026-01-23 09:46:37' where flow_no='SIO20260410000001' and ecid ='hsjm';\n\n把时间等于最后入库时间。\n-- 采购出入库记录\n-- 批量更新 dmp_serp.dmp_im_stock_in_out_flow_detail 的 create_time update_time中的日期部分为 对应的stock_date","timestamp":1784109928282,"idempotencyKey":"fc11b4ae-ecb7-44e7-b501-01b59e37bf0c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `stock_date`：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in_out_flow_detail\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（10个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n\n还有吗？一次全整完，然后我给你生成一个**完整的 SQL 脚本文件**，方便你一次性执行 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":247,"output":551,"cacheRead":32896,"cacheWrite":0,"totalTokens":33694,"cost":{"input":0.000247,"output":0.001102,"cacheRead":0,"cacheWrite":0,"total":0.001349}},"stopReason":"stop","timestamp":1784109928948,"responseId":"530e1437-c5c6-4d13-9bd9-ceb4ee9ee99d"},{"role":"user","content":"update dmp_serp.dmp_im_stock_out set bill_date='2026-01-10',delivery_at='2026-01-25 10:26:19', create_time='2026-01-10 11:03:04', update_time='2026-01-25 10:26:19' where stock_out_no='PD2026000127' and ecid='hsjm';\n把时间等于单据日期。\n-- 生产领料单\n-- 批量更新 dmp_serp.dmp_im_stock_out 的 create_time update_time中的日期部分为 对应的bill_date","timestamp":1784109964929,"idempotencyKey":"cce96fb1-3bfc-4883-adaf-9111e6c44dd2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `bill_date`（单据日期）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_out\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（11个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n\n继续还是可以帮你生成完整脚本了？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":185,"output":566,"cacheRead":33664,"cacheWrite":0,"totalTokens":34415,"cost":{"input":0.000185,"output":0.001132,"cacheRead":0,"cacheWrite":0,"total":0.001317}},"stopReason":"stop","timestamp":1784109965649,"responseId":"46255802-137d-4009-afcd-6da8548f271b"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in_out_flow_detail set stock_date='2026-04-05',bill_date='2026-03-21',update_time='2026-04-05 14:07:09',create_time='2026-03-21 12:11:27' where flow_no='SIO20260410000236' and ecid ='hsjm';\n把时间等于单据日期。\n-- -领料出库记录\n-- 批量更新 dmp_serp.dmp_im_stock_in_out_flow_detail 的 create_time update_time中的日期部分为 对应的stock_date","timestamp":1784109993896,"idempotencyKey":"90f480c3-711d-4afa-8813-526c1cba7146:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"这个表之前已经处理过了（序号10），但之前的日期源是 `stock_date`（你说\"时间等于最后入库时间\"），现在这个你说\"时间等于单据日期\"。\n\n那我看看——同一个表 `dmp_im_stock_in_out_flow_detail`，之前是入库记录用 `stock_date`，现在是出库记录也用 `stock_date`，其实是一样的对吧？\n\n那我保持之前的脚本不变（用 `stock_date` 作为日期源），它已经覆盖了这个表的所有 `ecid = 'hsjm'` 记录：\n\n```sql\n-- 已在序号10中覆盖，无需重复\n```\n\n不过如果你想**区分入库和出库**来用不同的日期源，那就需要告诉我用什么字段来区分（比如单据类型字段）。\n\n还是说这个表统一用 `stock_date` 就行了？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":270,"output":172,"cacheRead":34304,"cacheWrite":0,"totalTokens":34746,"cost":{"input":0.00027,"output":0.00034399999999999996,"cacheRead":0,"cacheWrite":0,"total":0.000614}},"stopReason":"stop","timestamp":1784109994584,"responseId":"0e44ed7f-eb7e-4ba0-a1c8-3045b209ec87"},{"role":"user","content":"UPDATE dmp_smes.dmp_me_work_operate_record_detail SET stock_in_date ='2026-02-07',report_date ='2026-02-06 14:06:18',create_time ='2026-02-06 14:06:18',update_time='2026-02-06 14:06:18' WHERE batch_no='MSN00000919' AND ecid ='hsjm';\n\n把时间等于报工日期。\n-- 生产报工记录\n-- 批量更新 dmp_smes.dmp_me_work_operate_record_detail 的 create_time update_time中的日期部分为 对应的report_date","timestamp":1784110030260,"idempotencyKey":"18cd925e-1adf-452f-a337-09bcf00c489c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `report_date`（报工日期）：\n\n```sql\nUPDATE dmp_smes.dmp_me_work_operate_record_detail\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(report_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(report_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（12个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n| 12 | `dmp_me_work_operate_record_detail` | `dmp_smes` | `report_date` | ❌ |\n\n还有吗？差不多了吧，要不要我帮你生成一个**完整的 SQL 脚本文件**？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":223,"output":613,"cacheRead":34688,"cacheWrite":0,"totalTokens":35524,"cost":{"input":0.000223,"output":0.0012259999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0014489999999999998}},"stopReason":"stop","timestamp":1784110031005,"responseId":"05098369-82e0-49aa-8fb8-ace75f94ba2c"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in set bill_date='2026-02-06',completed_at='2026-02-07 11:13:38', create_time='2026-02-06 14:06:18',update_time='2026-02-07 11:13:38' where stock_in_no='PI2604100002' and ecid ='hsjm';\n\n把时间等于单据日期。\n-- 生产入库单\n-- 批量更新 dmp_serp.dmp_im_stock_in 的 create_time update_time中的日期部分为 对应的bill_date","timestamp":1784110061318,"idempotencyKey":"b2248248-f715-42f6-9b39-d10f30b2d7c2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"之前序号9用的 `completed_at`，现在改成用 `bill_date`。以你最新的要求为准，更新脚本：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 最终更新清单（12个表，已按最新要求修正）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `bill_date` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n| 12 | `dmp_me_work_operate_record_detail` | `dmp_smes` | `report_date` | ❌ |\n\n还要继续加表吗？还是我帮你把这 12 条 SQL 生成一个完整的脚本文件，方便你一键执行？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":222,"output":636,"cacheRead":35456,"cacheWrite":0,"totalTokens":36314,"cost":{"input":0.000222,"output":0.001272,"cacheRead":0,"cacheWrite":0,"total":0.0014939999999999999}},"stopReason":"stop","timestamp":1784110062026,"responseId":"44204c2c-90d6-418f-8e5c-1a5559d966fc"},{"role":"user","content":"update dmp_serp.dmp_om_deliver_order set create_time ='2026-02-08 16:17:09',update_time ='2026-02-08 16:17:09',om_deliverdate ='2026-02-08' where ecid ='hsjm' and om_deliverorder ='FHO2026000003';\n把时间等于要求发货日期。\n-- 销售发货单\n-- 批量更新 dmp_serp.dmp_om_deliver_order 的 create_time update_time中的日期部分为 对应的om_deliverdate\n\nupdate dmp_serp.dmp_om_deliver_productinfo set create_time ='2026-02-08 10:00:40',update_time ='2026-02-08 10:00:40' where ecid ='hsjm' and om_deliverorder ='FHO2026000002';\nupdate dmp_serp.dmp_om_deliver_productinfo set create_time ='2026-02-08 16:17:09',update_time ='2026-02-08 16:17:09' where ecid ='hsjm' and om_deliverorder ='FHO2026000003';\n把时间等于要求发货日期。\n-- 发货单明细\n-- 批量更新 dmp_serp.dmp_om_deliver_productinfo 的 create_time update_time中的日期部分为 对应的om_deliverdate\n-- 根据 dmp_serp.dmp_om_deliver_productinfo.om_deliverorder ecid 关联 dmp_serp.dmp_om_deliver_order.om_deliverorder ecid","timestamp":1784110153457,"idempotencyKey":"a1c56d85-1317-4a95-a5c0-0219f9d08e80:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"好，两个表一起处理。\n\n## 销售发货单主表\n\n```sql\nUPDATE dmp_serp.dmp_om_deliver_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_deliverdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_deliverdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 发货单明细表\n\n```sql\nUPDATE dmp_serp.dmp_om_deliver_productinfo dpi\nJOIN dmp_serp.dmp_om_deliver_order d\n ON dpi.ecid = d.ecid AND dpi.om_deliverorder = d.om_deliverorder\nSET \n dpi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(d.om_deliverdate, '%Y-%m-%d'), ' ', DATE_FORMAT(dpi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n dpi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(d.om_deliverdate, '%Y-%m-%d'), ' ', DATE_FORMAT(dpi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE dpi.ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（14个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `bill_date` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n| 12 | `dmp_me_work_operate_record_detail` | `dmp_smes` | `report_date` | ❌ |\n| 13 | `dmp_om_deliver_order` | `dmp_serp` | `om_deliverdate` | ❌ |\n| 14 | `dmp_om_deliver_productinfo` | `dmp_serp` | `om_deliverdate`（JOIN 主表） | ✅ |\n\n还要继续吗？差不多了的话我帮你生成完整 SQL 脚本文件？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":488,"output":908,"cacheRead":36224,"cacheWrite":0,"totalTokens":37620,"cost":{"input":0.000488,"output":0.001816,"cacheRead":0,"cacheWrite":0,"total":0.002304}},"stopReason":"stop","timestamp":1784110154228,"responseId":"cc8fab7c-7b8b-43d3-a996-67bab9d75632"}],"tools":[{"name":"agents_list","description":"List agent ids allowed for `sessions_spawn runtime=\"subagent\"`.","parameters":{"type":"object","properties":{}}},{"name":"apply_patch","description":"Apply a patch to one or more files using the apply_patch format. The input should include *** Begin Patch and *** End Patch markers.","parameters":{"type":"object","required":["input"],"properties":{"input":{"type":"string","description":"Patch content using the *** Begin Patch/End Patch format."}}}},{"name":"create_goal","description":"Create a goal only when explicitly requested by the user or system instructions. Fails if a goal already exists; use user-facing goal controls to clear it.","parameters":{"type":"object","required":["objective"],"properties":{"objective":{"type":"string","description":"Concrete objective to pursue. Create only when explicitly requested."},"token_budget":{"type":"number","description":"Optional positive token budget for this goal."}}}},{"name":"cron","description":"Manage Gateway cron jobs and wake events: reminders, check-back-later, delayed follow-ups, recurring work. Do not emulate scheduling with exec sleep/process polling.\n\nMain cron => system events for heartbeat. Isolated cron => background task in `openclaw tasks`.\n\nACTIONS:\n- status: scheduler status\n- list: compact job summaries; includeDisabled true includes disabled; use get for full job details; agentId filter auto-filled from session\n- get: one job; needs jobId\n- add: create job; needs job object\n- update: patch job; needs jobId + patch\n- remove: delete job; needs jobId\n- run: run only if due by default; needs jobId; pass runMode=\"force\" to trigger now\n- runs: run history; needs jobId\n- wake: send wake event; needs text, optional mode; defaults the target to the calling session/agent. Pass top-level sessionKey/agentId to wake a different lane owned by the calling agent.\n\nJOB SCHEMA (for add action):\n{\n \"name\": \"string\",\n \"schedule\": { ... }, // required\n \"trigger\": { \"script\": \"...\", \"once\": false }, // optional condition gate for every/cron\n \"payload\": { ... }, // required\n \"delivery\": { ... }, // optional announce for isolated/current/session, webhook for any target\n \"sessionTarget\": \"main\" | \"isolated\" | \"current\" | \"session:<id>\",\n \"enabled\": true | false // default true\n}\n\nSESSION TARGET OPTIONS:\n- \"main\": main session; requires payload.kind=\"systemEvent\"\n- \"isolated\": ephemeral isolated session; requires payload.kind=\"agentTurn\"\n- \"current\": bind current session at creation\n- \"session:<id>\": persistent named session\n\nDEFAULTS:\n- payload.kind=\"systemEvent\" → defaults to \"main\"\n- payload.kind=\"agentTurn\" → defaults to \"isolated\"\nCurrent binding needs sessionTarget=\"current\".\n\nSCHEDULE TYPES (schedule.kind):\n- \"at\": one-shot absolute time\n { \"kind\": \"at\", \"at\": \"<ISO-8601 timestamp>\" }\n- \"every\": recurring interval\n { \"kind\": \"every\", \"everyMs\": <ms>, \"anchorMs\": <optional-ms> }\n- \"cron\": expr in supplied timezone, or Gateway host local timezone when tz omitted\n { \"kind\": \"cron\", \"expr\": \"<cron-expression>\", \"tz\": \"<optional-IANA-timezone>\" }\n Write expr in local wall-clock time; do not convert the requested local time to UTC first.\n tz omitted => Gateway host local timezone, not UTC.\n Example 6pm Shanghai daily: { \"kind\": \"cron\", \"expr\": \"0 18 * * *\", \"tz\": \"Asia/Shanghai\" }\n\nOptional trigger scripts poll headlessly on every/cron schedules and run the payload only when they return { fire: true }.\n\nFor \"at\", ISO timestamps without timezone are UTC.\n\nPAYLOAD TYPES (payload.kind):\n- \"systemEvent\": inject text as system event\n { \"kind\": \"systemEvent\", \"text\": \"<message>\" }\n- \"agentTurn\": run agent with prompt; isolated/current/session only\n { \"kind\": \"agentTurn\", \"message\": \"<prompt>\", \"model\": \"<optional>\", \"thinking\": \"<optional>\", \"timeoutSeconds\": <optional, 0=no timeout> }\n\nDELIVERY (top-level):\n { \"mode\": \"none|announce|webhook\", \"channel\": \"<optional>\", \"to\": \"<optional>\", \"threadId\": \"<optional>\", \"bestEffort\": <optional-bool> }\n - isolated agentTurn default when omitted: \"announce\"\n - announce: send to chat channel; isolated/current/session only; optional channel/to\n - threadId: chat thread/topic id\n - webhook: POST finished-run event to delivery.to URL\n - Specific chat/recipient: set announce delivery.channel/to; do not call messaging tools inside run.\n\nCRITICAL CONSTRAINTS:\n- sessionTarget=\"main\" REQUIRES payload.kind=\"systemEvent\"\n- sessionTarget=\"isolated\" | \"current\" | \"session:xxx\" REQUIRES payload.kind=\"agentTurn\"\n- Webhook: delivery.mode=\"webhook\" and delivery.to URL.\nDefault: prefer isolated agentTurn jobs unless the user explicitly wants current-session binding.\n\nRESTRICTED CRON RUNS:\n- Some isolated cron runs get narrow self-cleanup grant: status/list self-only, get/runs current job only, mutation only remove current job.\n\nWAKE MODES (for wake action):\n- \"next-heartbeat\" default: wake next heartbeat\n- \"now\": wake immediately\n\nUse jobId canonical; id accepted compat. contextMessages (0-10) adds previous messages as job context.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"includeDisabled":{"type":"boolean"},"job":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"additionalProperties":true},"jobId":{"type":"string"},"id":{"type":"string"},"patch":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"additionalProperties":true},"text":{"type":"string"},"mode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"runMode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Run mode for action=\"run\": omitted defaults to \"due\"; use \"force\" to trigger now."},"contextMessages":{"type":"integer","minimum":0,"maximum":10},"agentId":{"type":"string","description":"List filter for `action: \"list\"`; wake target override for `action: \"wake\"` (defaults to the calling agent when omitted on wake)"},"sessionKey":{"type":"string","description":"Wake target override for `action: \"wake\"`: route the event to another session owned by the calling agent. Defaults to the resolved calling-session key when omitted."}},"additionalProperties":true}},{"name":"edit","description":"Edit a single file using exact text replacement. Every edits[].oldText must match a unique, non-overlapping region of the original file. If two changes affect the same block or nearby lines, merge them into one edit instead of emitting overlapping edits. Do not include large unchanged regions just to connect distant changes.","parameters":{"type":"object","required":["path","edits"],"properties":{"path":{"type":"string","description":"Path to the file to edit (relative or absolute)"},"edits":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"One or more targeted replacements. Each edit is matched against the original file, not incrementally. Do not include overlapping or nested edits. If two changes touch the same block or nearby lines, merge them into one edit instead."}},"additionalProperties":false}},{"name":"exec","description":"Execute shell commands with background continuation for work that starts now. Use yieldMs/background to continue later via process tool. For long-running work started now, rely on automatic completion wake when it is enabled and the command emits output or fails; otherwise use process to confirm completion. Use process whenever you need logs, status, input, or intervention. Do not use exec sleep or delay loops for reminders or deferred follow-ups; use cron instead. Use pty=true for TTY-required commands (terminal UIs, coding agents).","parameters":{"type":"object","required":["command"],"properties":{"command":{"type":"string","description":"Shell command to execute"},"workdir":{"type":"string","description":"Working directory. Blank/whitespace values are invalid; omit to use the default cwd."},"env":{"type":"object","patternProperties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"yieldMs":{"type":"number","description":"Milliseconds to wait before backgrounding (default 10000)"},"background":{"type":"boolean","description":"Run in background immediately"},"timeout":{"type":"number","description":"Timeout in seconds (optional, kills process on expiry)"},"pty":{"type":"boolean","description":"Run in a pseudo-terminal (PTY) when available (TTY-required CLIs, coding agents)"},"elevated":{"type":"boolean","description":"Run on the host with elevated permissions (if allowed)"},"host":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Exec host/target (auto|sandbox|gateway|node)."},"security":{"type":"string","description":"Ignored for normal calls; exec security is set by tools.exec.security and host approvals."},"ask":{"type":"string","description":"Baseline ask comes from tools.exec.ask and host approvals; channel-origin calls ignore per-call ask when effective host ask is off."},"node":{"type":"string","description":"Node id/name for host=node."}}}},{"name":"gateway","description":"Gateway restart/config/update. Before config edits, use config.schema.lookup with targeted dot path. Prefer config.patch for partial merge; config.apply only full replace. For config.patch that intentionally removes array entries, pass replacePaths with the exact affected array path. Writes hot-reload or restart as needed. Always pass human `note` for post-restart delivery. If post-restart work must continue internally, pass one-shot `continuationMessage`; visible follow-up from that turn must use the message tool. Do not write restart sentinel files directly.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"delayMs":{"type":"integer","minimum":0},"reason":{"type":"string"},"continuationMessage":{"type":"string"},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"path":{"type":"string"},"raw":{"type":"string"},"baseHash":{"type":"string"},"replacePaths":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"maxItems":256},"sessionKey":{"type":"string"},"note":{"type":"string"},"restartDelayMs":{"type":"integer","minimum":0}}}},{"name":"get_goal","description":"Get the current goal for this thread, including status and token usage.","parameters":{"type":"object","properties":{}}},{"name":"image","description":"Analyze images with available vision model. Use image for one path/URL, images for max 20. Prompt says what to inspect.","parameters":{"type":"object","properties":{"prompt":{"type":"string"},"image":{"type":"string","description":"One image path/URL."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Image paths/URLs; maxImages default 20."},"model":{"type":"string"},"maxBytesMb":{"type":"number","exclusiveMinimum":0},"maxImages":{"type":"integer","minimum":1}}}},{"name":"image_generate","description":"Create/edit images. Session chats: background task; do not call image_generate again for same request; wait completion, then report through the current visible-reply contract with generated media attached using structured media fields. Transparent: outputFormat=\"png\" or \"webp\" + background=\"transparent\"; OpenAI also supports openai.background and routes default model to gpt-image-1.5. Use action=\"list\" for providers/models/readiness/auth, \"status\" for active task.","parameters":{"type":"object","properties":{"action":{"type":"string","description":"\"generate\" default, \"status\" active task, \"list\" providers/models."},"prompt":{"type":"string","description":"Image prompt."},"image":{"type":"string","description":"Reference image path/URL for edit."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference images for edit or style reference; max 14."},"model":{"type":"string","description":"Provider/model override, e.g. openai/gpt-image-2; transparent OpenAI: openai/gpt-image-1.5."},"filename":{"type":"string","description":"Output filename hint; basename preserved in managed media dir."},"size":{"type":"string","description":"Size hint: 1024x1024, 1536x1024, 1024x1536, 2048x2048, 3840x2160."},"aspectRatio":{"type":"string","description":"Aspect ratio: 1:1, 2:1, 20:9, 19.5:9, 2:3, 3:2, 2.35:1, 3:4, 4:3, 4:5, 5:4, 9:16, 9:19.5, 9:20, 16:9, 21:9, 1:2, 4:1, 1:4, 8:1, 1:8."},"resolution":{"type":"string","description":"Resolution: 1K, 2K, 4K; useful for Google."},"quality":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Quality: low, medium, high, auto."},"outputFormat":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Output format: png, jpeg, webp."},"background":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Background: transparent, opaque, auto. Transparent needs png/webp output."},"openai":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"fal":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"count":{"type":"integer","description":"Image count 1-4.","minimum":1,"maximum":4},"timeoutMs":{"type":"integer","description":"Provider timeout ms (300000 tends to be a safe amount).","minimum":1}}}},{"name":"memory_get","description":"Safe exact excerpt read from MEMORY.md or memory/*.md. Defaults to a bounded excerpt when lines are omitted, includes truncation/continuation info when more content exists, and `corpus=wiki` reads from registered compiled-wiki supplements.","parameters":{"type":"object","properties":{"path":{"type":"string"},"from":{"type":"integer","minimum":1},"lines":{"type":"integer","minimum":1},"corpus":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}},"required":["path"],"additionalProperties":false}},{"name":"memory_search","description":"Mandatory recall step: semantically search MEMORY.md + memory/*.md (and optional session transcripts) before answering questions about prior work, decisions, dates, people, preferences, or todos. Optional `corpus=wiki` or `corpus=all` also searches registered compiled-wiki supplements. `corpus=memory` restricts hits to indexed memory files (excludes session transcript chunks from ranking). `corpus=sessions` restricts hits to indexed session transcripts (same visibility rules as session history tools). If response has disabled=true, memory retrieval is unavailable and should be surfaced to the user.","parameters":{"type":"object","properties":{"query":{"type":"string"},"maxResults":{"type":"integer","minimum":1},"minScore":{"type":"number"},"corpus":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}},"required":["query"],"additionalProperties":false}},{"name":"message","description":"Send/delete/manage channel messages. Supports actions: send.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"channel":{"type":"string"},"target":{"type":"string","description":"Recipient/channel: E.164 for WhatsApp/Signal, Telegram chat id/@username, Discord/Slack/Mattermost <channelId|user:ID|channel:ID>, or iMessage handle/chat_id"},"targets":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"accountId":{"type":"string"},"dryRun":{"type":"boolean"},"message":{"type":"string"},"effectId":{"type":"string","description":"Effect id/name for sendWithEffect."},"effect":{"type":"string","description":"Alias for effectId."},"media":{"type":"string","description":"Media URL/path. data: use buffer."},"filename":{"type":"string"},"buffer":{"type":"string","description":"Base64 attachment payload; data URL ok."},"contentType":{"type":"string"},"mimeType":{"type":"string"},"caption":{"type":"string"},"attachments":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Structured attachments; each entry uses media."},"replyTo":{"type":"string"},"threadId":{"type":"string"},"asVoice":{"type":"boolean"},"silent":{"type":"boolean"},"quoteText":{"type":"string","description":"Telegram reply quote text."},"gifPlayback":{"type":"boolean"},"forceDocument":{"type":"boolean","description":"Send image/GIF/video as document; avoids compression."},"asDocument":{"type":"boolean","description":"Alias for forceDocument."},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1}}}},{"name":"node_inference","description":"Discover and run chat-capable Ollama models installed on paired desktop/server nodes. Use action=discover first, then action=run with a node and model from that result. Inference stays on the selected node.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"node":{"type":"string","description":"Connected node id or display name. Required when ambiguous."},"model":{"type":"string","description":"Exact local model name returned by discover."},"prompt":{"type":"string","description":"Prompt for action=run."},"system":{"type":"string","description":"Optional system prompt for action=run."},"temperature":{"type":"number","minimum":0,"maximum":2},"maxTokens":{"type":"integer","minimum":1,"maximum":8192},"timeoutMs":{"type":"integer","minimum":1,"maximum":600000}},"additionalProperties":false}},{"name":"nodes","description":"Discover/control paired nodes: status, describe, pairing, notify, camera/photos/screen/location/notifications/invoke. Use file_fetch for files.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"node":{"type":"string"},"requestId":{"type":"string"},"title":{"type":"string"},"body":{"type":"string"},"sound":{"type":"string"},"priority":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"delivery":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"facing":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"camera_snap: front/back/both; camera_clip: front/back only."},"maxWidth":{"type":"integer","minimum":1},"quality":{"type":"number","minimum":0,"maximum":1},"delayMs":{"type":"integer","minimum":0},"deviceId":{"type":"string"},"limit":{"type":"integer","minimum":1,"maximum":20},"duration":{"type":"string"},"durationMs":{"type":"integer","minimum":1,"maximum":300000},"includeAudio":{"type":"boolean"},"fps":{"type":"number","exclusiveMinimum":0},"screenIndex":{"type":"integer","minimum":0},"outPath":{"type":"string"},"maxAgeMs":{"type":"integer","minimum":0},"locationTimeoutMs":{"type":"integer","minimum":1},"desiredAccuracy":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"notificationAction":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"notificationKey":{"type":"string"},"notificationReplyText":{"type":"string"},"invokeCommand":{"type":"string"},"invokeParamsJson":{"type":"string"},"invokeTimeoutMs":{"type":"integer","minimum":1}}}},{"name":"pdf","description":"Analyze PDFs with model. Anthropic/Google native PDF when supported; else text/image extraction. Use pdf for one, pdfs for max 10; prompt says what to inspect.","parameters":{"type":"object","properties":{"prompt":{"type":"string"},"pdf":{"type":"string","description":"One PDF path/URL."},"pdfs":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"PDF paths/URLs; max 10."},"pages":{"type":"string","description":"Pages, e.g. \"1-5\", \"1,3,5-7\"; default all."},"model":{"type":"string"},"maxBytesMb":{"type":"number","exclusiveMinimum":0}}}},{"name":"process","description":"Manage running exec sessions for commands already started: list, poll, log, write, send-keys, submit, paste, kill. Use poll/log when you need status, logs, quiet-success confirmation, or completion confirmation when automatic completion wake is unavailable. Use poll/log also for input-wait hints. Use write/send-keys/submit/paste/kill for input or intervention. Do not use process polling to emulate timers or reminders; use cron for scheduled follow-ups.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","description":"Process action (list|poll|log|write|send-keys|submit|paste|kill|clear|remove)"},"sessionId":{"type":"string","description":"Session id for actions other than list"},"data":{"type":"string","description":"Data to write for write"},"keys":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Key tokens to send for send-keys"},"hex":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Hex bytes to send for send-keys"},"literal":{"type":"string","description":"Literal string for send-keys"},"text":{"type":"string","description":"Text to paste for paste"},"bracketed":{"type":"boolean","description":"Wrap paste in bracketed mode"},"eof":{"type":"boolean","description":"Close stdin after write"},"offset":{"type":"number","description":"Log offset"},"limit":{"type":"number","description":"Log length"},"timeout":{"type":"number","description":"For poll: wait up to this many milliseconds before returning; max 30000 ms, higher values are clamped to 30000","minimum":0}}}},{"name":"read","description":"Read the contents of a file. Supports text files and images (jpg, png, gif, webp, bmp). Images are sent as attachments. For text files, output is truncated to 2000 lines or 50KB (whichever is hit first). Use offset/limit for large files. When you need the full file, continue with offset until complete.","parameters":{"type":"object","required":["path"],"properties":{"path":{"type":"string","description":"Path to the file to read (relative or absolute)"},"offset":{"type":"number","description":"Line number to start reading from (1-indexed)"},"limit":{"type":"number","description":"Maximum number of lines to read"}}}},{"name":"session_status","description":"Show /status-like card for current/visible session: model, usage, time, cost, tasks. Use `sessionKey=\"current\"` for current session; UI labels like `openclaw-tui` are not keys. `model` sets session override; `model=default` resets. Use for active model/session config questions.","parameters":{"type":"object","properties":{"sessionKey":{"type":"string"},"model":{"type":"string"}}}},{"name":"sessions_history","description":"Fetch sanitized history for visible session. Use before replying, debugging, resuming; supports limit, offset pagination, and tool-message inclusion.","parameters":{"type":"object","required":["sessionKey"],"properties":{"sessionKey":{"type":"string"},"limit":{"type":"integer","minimum":1},"offset":{"type":"integer","minimum":0},"includeTools":{"type":"boolean"}}}},{"name":"sessions_list","description":"List visible sessions; filter by kind, label, agentId, search, activity, archive state. Use before sessions_history or sessions_send target selection.","parameters":{"type":"object","properties":{"kinds":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"limit":{"type":"integer","minimum":1},"activeMinutes":{"type":"integer","minimum":1},"messageLimit":{"type":"integer","minimum":0},"label":{"type":"string","minLength":1},"agentId":{"type":"string","minLength":1,"maxLength":64},"search":{"type":"string","minLength":1},"archived":{"type":"boolean"},"includeDerivedTitles":{"type":"boolean"},"includeLastMessage":{"type":"boolean"}}}},{"name":"sessions_send","description":"Send message to visible session by sessionKey/label, or configured agent by agentId; sessionKey wins when redundant label metadata is present. Thread-scoped chats rejected; target parent channel session. Creates missing configured-agent main session; waits for reply when available.","parameters":{"type":"object","required":["message"],"properties":{"sessionKey":{"type":"string"},"label":{"type":"string","minLength":1,"maxLength":512},"agentId":{"type":"string","minLength":1,"maxLength":64},"message":{"type":"string"},"timeoutSeconds":{"type":"integer","minimum":0}}}},{"name":"sessions_spawn","description":"Spawn clean child session; default `runtime=\"subagent\"`. `mode=\"run\"` one-shot background work. Subagents inherit parent workspace. Native subagents get task in first visible `[Subagent Task]` message. Native only: `context=\"fork\"` only when child needs current transcript; else omit or `isolated`. Use for fresh child-session work. Delegate sidecar/parallel tasks: batch file reads, multi-step searches, data collection. Avoid delegating quick lookups or single-file reads unless policy prefers delegation. After spawning, do non-overlapping work while run-mode results return.","parameters":{"type":"object","required":["task"],"properties":{"task":{"type":"string"},"taskName":{"type":"string","description":"Stable alias for later targeting; lowercase letters/digits/underscores/hyphens, starts letter."},"label":{"type":"string"},"runtime":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"agentId":{"type":"string"},"model":{"type":"string"},"thinking":{"type":"string"},"cwd":{"type":"string"},"mode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"cleanup":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"sandbox":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"context":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Native context. Omit/\"isolated\" for clean child; \"fork\" only when child needs requester transcript."},"lightContext":{"type":"boolean","description":"Light bootstrap context; runtime=\"subagent\" only."},"attachments":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"maxItems":50},"attachAs":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}}}},{"name":"sessions_yield","description":"End current turn. Use after spawning subagents; results arrive as next message.","parameters":{"type":"object","properties":{"message":{"type":"string"}}}},{"name":"skill_workshop","description":"Create, update, revise, list, inspect, apply, reject, or quarantine Skill Workshop proposals when reusable procedures should be captured, improved, or explicitly approved.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"create = new skill; update = existing live skill; revise = existing pending proposal; list/inspect discover pending proposals (not filesystem search); apply/reject/quarantine are explicit lifecycle actions."},"proposal_id":{"type":"string","description":"Existing proposal id for action=inspect, action=revise, action=apply, action=reject, or action=quarantine."},"name":{"type":"string","description":"Skill/proposal name. Required for create; for inspect/revise when proposal_id is unknown, resolves a pending proposal or returns candidates."},"query":{"type":"string","description":"Optional query for action=list."},"status":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Optional proposal status filter for action=list."},"limit":{"type":"integer","minimum":1,"maximum":50,"description":"Maximum proposals to return for action=list. Defaults to 20."},"description":{"type":"string","maxLength":160,"description":"Skill description for create/update/revise; max 160 bytes. On update, concise text shortens the proposal listing entry."},"skill_name":{"type":"string","description":"Existing skill name or key for action=update."},"proposal_content":{"type":"string","description":"Full proposed procedure markdown for action=create, action=update, or action=revise. It will be stored as PROPOSAL.md. Keep under configured skills.workshop.maxSkillBytes; default max is 40000 bytes."},"support_files":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Optional support files to store with the proposal."},"goal":{"type":"string","description":"Proposal or improvement goal."},"evidence":{"type":"string","description":"Short evidence or notes."},"reason":{"type":"string","description":"Optional reason for action=apply, action=reject, or action=quarantine."}},"additionalProperties":false}},{"name":"subagents","description":"List active and recent subagents for the requester session. If sessions_yield exists, use it for completion; do not poll wait loops.","parameters":{"type":"object","properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"recentMinutes":{"type":"integer","minimum":1}}}},{"name":"tts","description":"Use only for explicit audio intent (voice/speech/TTS) or active TTS config. Never use for ordinary text replies. Audio auto-delivered from tool result; after success follow reply instructions, no duplicate text/audio.","parameters":{"type":"object","required":["text"],"properties":{"text":{"type":"string","description":"Text to speak."},"channel":{"type":"string","description":"Channel id; output-format hint."},"timeoutMs":{"type":"integer","description":"Provider timeout ms.","minimum":1}}}},{"name":"update_goal","description":"Mark the current goal complete only when achieved, or blocked only after the same blocking condition recurs for at least three consecutive goal turns. Do not use blocked for ordinary difficulty or missing polish.","parameters":{"type":"object","required":["status"],"properties":{"status":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"complete | blocked."},"note":{"type":"string","description":"Short status note."}}}},{"name":"update_plan","description":"Update current run plan. Use for non-trivial multi-step work; keep plan current while executing. Short steps; max one `in_progress`; skip for simple one-step work.","parameters":{"type":"object","required":["plan"],"properties":{"explanation":{"type":"string","description":"Short note: what changed."},"plan":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"minItems":1,"description":"Ordered steps; max one in_progress."}}}},{"name":"video_generate","description":"Create videos. Session chats: background task; do not call video_generate again for same request; wait completion, then report through the current visible-reply contract with generated media attached using structured media fields. \"status\" checks active task. Duration may round to provider-supported value.","parameters":{"type":"object","properties":{"action":{"type":"string","description":"\"generate\" default, \"status\" active task, \"list\" providers/models."},"prompt":{"type":"string","description":"Video prompt."},"image":{"type":"string","description":"One reference image path/URL."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference images; max 9."},"imageRoles":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"`image` + `images` roles by index after de-dupe. Values: first_frame, last_frame, reference_image; empty string leaves unset."},"video":{"type":"string","description":"One reference video path/URL."},"videos":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference videos; max 4."},"videoRoles":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"`video` + `videos` roles by index after de-dupe. Value: reference_video; empty string leaves unset."},"model":{"type":"string","description":"Provider/model override, e.g. qwen/wan2.6-t2v."},"filename":{"type":"string","description":"Output filename hint; basename preserved in managed media dir."},"size":{"type":"string","description":"Size hint, e.g. 1280x720, 1920x1080."},"aspectRatio":{"type":"string","description":"Aspect ratio: 1:1, 16:9, 9:16, \"adaptive\", or provider value; unsupported normalized/ignored."},"resolution":{"type":"string","description":"Resolution: 360P, 480P, 540P, 720P, 768P, 1080P, 4K, or provider value; unsupported normalized/ignored."},"durationSeconds":{"type":"integer","description":"Target seconds; may round to nearest supported duration.","minimum":1},"audio":{"type":"boolean","description":"Generated-audio toggle."},"watermark":{"type":"boolean","description":"Watermark toggle."},"providerOptions":{"type":"object","patternProperties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Provider JSON options, e.g. {\"seed\":42}. Keys/types must match provider capabilities; mismatch skips candidate. Use action=list for accepted keys."},"timeoutMs":{"type":"integer","description":"Provider timeout ms.","minimum":1}}}},{"name":"write","description":"Write content to a file. Creates the file if it doesn't exist, overwrites if it does. Automatically creates parent directories.","parameters":{"type":"object","required":["path","content"],"properties":{"path":{"type":"string","description":"Path to the file to write (relative or absolute)"},"content":{"type":"string","description":"Content to write to the file"}}}}],"imagesCount":0,"streamStrategy":"boundary-aware:openai-completions","transport":"auto","transcriptLeafId":"8bb41306"}}
|
||
{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","source":"runtime","type":"prompt.submitted","ts":"2026-07-15T10:10:16.528Z","seq":4,"sourceSeq":116,"sessionId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","sessionKey":"agent:main:dashboard:2fdf88e4-fa3f-46c2-b547-384e2c048b11","runId":"c7b37ba9-edd3-4966-9b52-0686f1e8ffdd","workspaceDir":"/home/yangxuan/.openclaw/workspace","provider":"deepseek","modelId":"deepseek-v4-flash","modelApi":"openai-completions","data":{"prompt":"UPDATE `dmp_smes`.`dmp_me_produce_pick` SET document_date = '2026-01-10 00:00:00',maintain_time = '2026-01-25 10:26:19' WHERE ecid = 'hsjm' and stock_out_apply_no = 'PD2026000127';\n把时间等于要求单据日期。\n-- 领料单\n-- 批量更新 dmp_smes.dmp_me_produce_pick 的 create_time update_time中的日期部分为 对应的document_date","systemPrompt":{"truncated":true,"reason":"trajectory-field-size-limit","originalChars":39560,"limitChars":32768},"messages":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate \n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","timestamp":1784109538113,"idempotencyKey":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"},{"role":"user","content":"保留原时分秒，只改日期部分\nUPDATE dmp_spom.dmp_mrp_main_plan_task SET plan_start_time='2026-07-07 11:03:04',create_time='2026-07-07 10:58:04',update_time='2026-07-07 11:03:04' WHERE ecid='kanda' AND plan_no='PLAN2026071414255193535522';\n-- 物料计划主表\n-- 批量更新 dmp_spom.dmp_mrp_main_plan_task 的 create_time update_time中的日期部分为 对应的plan_start_time","timestamp":1784109596434,"idempotencyKey":"7c28a842-8a9f-4cc4-9094-1298d4ce1a5c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**物料计划主表 `dmp_mrp_main_plan_task`**，要把 `create_time` 和 `update_time` 的日期部分改为对应的 `plan_start_time`，保留原时分秒。\n\n## 更新脚本\n\n```sql\nUPDATE dmp_spom.dmp_mrp_main_plan_task\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'kanda';\n```\n\n范围条件？我看你前面说的是\"计划开始时间是7月份的数据\"，但 `plan_start_time` 看样例已经是 7 月份。你对范围有要求吗？比如：\n\n```sql\n-- 如果只要 plan_start_time 在7月份的数据\nAND plan_start_time >= '2026-07-01' AND plan_start_time < '2026-08-01'\n\n-- 或者只要 plan_start_time 日期和 create_time 日期不一致的（避免无意义更新）\nAND DATE(plan_start_time) != DATE(create_time)\n```\n\n需要加范围条件吗？还是直接全量更新 `ecid = 'kanda'` 的所有记录？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":1021,"output":340,"cacheRead":26880,"cacheWrite":0,"totalTokens":28241,"cost":{"input":0.001021,"output":0.0006799999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0017009999999999998}},"stopReason":"stop","timestamp":1784109597165,"responseId":"3546056a-f6d1-4805-b0d2-e4d5739d2293"},{"role":"user","content":"采购订单\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37' where ecid = 'hsjm' and order_no ='PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 16:10:47', update_time ='2026-01-12 16:10:47' where ecid = 'hsjm' and order_no ='PO2026000002';\n把 时间等于下单时间。\n-- 采购订单\n-- 批量更新 dmp_serp.dmp_mc_purchase_order 的 create_time update_time中的日期部分为 对应的order_date\n\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\n把 时间等于下单时间。\n\n-- 采购明细表\n-- 批量更新 dmp_serp.dmp_mc_purchase_order_detail 的 create_time update_time中的日期部分为 对应的order_date","timestamp":1784109736511,"idempotencyKey":"dea79fe3-9e82-4fcc-932b-78fe7ffb7ea2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，两个表一起处理，都是**采购订单**相关，用 `order_date` 作为日期源。\n\n## 采购订单主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购订单明细表\n\n明细表需要通过 `order_no` 和 `ecid` 关联主表获取 `order_date`：\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order_detail pd\nJOIN dmp_serp.dmp_mc_purchase_order po \n ON pd.ecid = po.ecid AND pd.order_no = po.order_no\nSET \n pd.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pd.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE pd.ecid = 'hsjm';\n```\n\n同样你提到的 **plan_arrival_date**——明细表里也有这个字段，看你样例里也在改它。但你的需求描述里只提了 `create_time` 和 `update_time`，`plan_arrival_date` 是否需要基于主表的 `plan_arrival_date` 同步更新？如果需要，可以加上：\n\n```sql\n-- 在明细表的 SET 中加上 plan_arrival_date 同步\n pd.plan_arrival_date = po.plan_arrival_date,\n```\n\n---\n\n汇总一下你到目前为止的更新清单：\n\n| 序号 | 表 | 日期源字段 |\n|------|-----|-----------|\n| 1 | `dmp_serp.dmp_om_order` | `om_orderdate` |\n| 2 | `dmp_serp.dmp_om_productinfo` | 关联主表 `om_orderdate` |\n| 3 | `dmp_spom.dmp_mrp_main_plan_task` | `plan_start_time` |\n| 4 | `dmp_serp.dmp_mc_purchase_order` | `order_date` |\n| 5 | `dmp_serp.dmp_mc_purchase_order_detail` | 关联主表 `order_date` |\n\n还有其他表要处理吗？一次性都帮你搞定 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":537,"output":666,"cacheRead":28160,"cacheWrite":0,"totalTokens":29363,"cost":{"input":0.0005369999999999999,"output":0.0013319999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0018689999999999998}},"stopReason":"stop","timestamp":1784109737239,"responseId":"4b7762d3-e202-4784-90ea-1934b8437ee9"},{"role":"user","content":"采购到货\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 14:59:11', update_time = '2026-01-22 14:59:11' where ecid = 'hsjm' and arrival_no = 'PAD2026000001';\n\n\n把 时间等于送货时间。\n-- 采购到货主表\n\n\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\n\n把 时间等于送货时间。\n-- 采购到货明细","timestamp":1784109773108,"idempotencyKey":"c1f0893e-59e7-4e66-8ebf-c96466a88991:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `ship_date`（送货时间/发货时间）。\n\n## 采购到货主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购到货明细表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival_detail ad\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON ad.ecid = a.ecid AND ad.arrival_no = a.arrival_no\nSET \n ad.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n ad.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ad.ecid = 'hsjm';\n```\n\n不过我看你的例子里，`ship_date` 和 `arrival_date` 都是 `'2026-01-22'`（同一天）。你说\"时间等于**送货时间**\"，那就是用 `ship_date` 作为日期源，没错吧？还是说你想用 `arrival_date`（到货时间）？\n\n---\n\n## 📋 完整更新清单（截至目前）\n\n| 序号 | 表 | 数据库 | 日期源字段 | 关联方式 |\n|------|-----|--------|-----------|---------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 直接更新 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate` | JOIN 主表 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 直接更新 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 直接更新 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date` | JOIN 主表 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 直接更新 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date` | JOIN 主表 |\n\n还继续有吗？一次性整完 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":427,"output":719,"cacheRead":29312,"cacheWrite":0,"totalTokens":30458,"cost":{"input":0.00042699999999999997,"output":0.001438,"cacheRead":0,"cacheWrite":0,"total":0.001865}},"stopReason":"stop","timestamp":1784109773806,"responseId":"8409c206-8436-4c31-93df-a6c9c78ea7a5"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验","timestamp":1784109808938,"idempotencyKey":"4b7a78ce-766c-439b-8784-ec9eef3f92ac:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**来料检验表**，需要关联**采购到货单**获取 `ship_date`。\n\n关联关系：`qc_task_inspect` 通过某个字段关联到采购到货单？我先看看常见关联方式——通常来料检验单会记录 `arrival_no`（到货单号）和 `ecid`。\n\n如果 `qc_task_inspect` 里有 `arrival_no` 字段，关联到 `dmp_mc_purchase_arrival`：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect qi\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON qi.ecid = a.ecid AND qi.arrival_no = a.arrival_no\nSET \n qi.insp_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.insp_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE qi.ecid = 'hsjm';\n```\n\n不过我需要确认一下——`qc_task_inspect` 里**关联采购到货单的字段名是什么**？常见的有：\n- `arrival_no` — 到货单号\n- `src_bill_no` — 来源单据号\n\n你能看看表结构确认一下关联字段吗？或者直接告诉我 `qc_task_inspect` 里哪个字段存的是到货单号就行。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":317,"output":444,"cacheRead":30336,"cacheWrite":0,"totalTokens":31097,"cost":{"input":0.000317,"output":0.000888,"cacheRead":0,"cacheWrite":0,"total":0.001205}},"stopReason":"stop","timestamp":1784109809545,"responseId":"a97cc980-d1b1-4640-9631-1a5bc07b2155"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验 只有主表","timestamp":1784109834801,"idempotencyKey":"1b1a78a5-b104-491c-8c1a-3388b55520a1:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"只有主表，没有关联明细。那 `qc_task_inspect` 直接用某个字段关联到采购到货单获取 `ship_date`。我需要先看看这个表里有什么关联字段。\n\n让我查一下表结构："},{"type":"toolCall","id":"call00zNFXflO9uvHF88gvemNV1946","name":"exec","arguments":{"command":"mysql -u root -p'YourPassword' -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null || echo \"NEED_PASSWORD\""},"partialArgs":"{\"command\": \"mysql -u root -p'YourPassword' -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null || echo \\\"NEED_PASSWORD\\\"\"}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":320,"output":127,"cacheRead":30976,"cacheWrite":0,"totalTokens":31423,"cost":{"input":0.00031999999999999997,"output":0.000254,"cacheRead":0,"cacheWrite":0,"total":0.000574}},"stopReason":"toolUse","timestamp":1784109835616,"responseId":"6d7b9ef4-7af8-4b71-a201-06dba58c46a8"},{"role":"toolResult","toolCallId":"call00zNFXflO9uvHF88gvemNV1946","toolName":"exec","content":[{"type":"text","text":"NEED_PASSWORD"}],"isError":false,"timestamp":1784109838817},{"role":"assistant","content":[{"type":"toolCall","id":"call00PIuYMg0px60fCGWCIhay2037","name":"exec","arguments":{"command":"mysql -u root -p -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null | head -50","timeout":10},"partialArgs":"{\"command\": \"mysql -u root -p -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null | head -50\", \"timeout\": 10}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":79,"output":90,"cacheRead":31360,"cacheWrite":0,"totalTokens":31529,"cost":{"input":0.000079,"output":0.00017999999999999998,"cacheRead":0,"cacheWrite":0,"total":0.000259}},"stopReason":"toolUse","timestamp":1784109838831,"responseId":"1ac67ea0-15ab-4d4d-8d1a-bec64bd8a1be"},{"role":"toolResult","toolCallId":"call00PIuYMg0px60fCGWCIhay2037","toolName":"exec","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1784109840424},{"role":"assistant","content":[{"type":"text","text":"没有直连数据库的权限，没关系。你看看 `qc_task_inspect` 表里有什么字段可以用来关联到采购到货单？比如：\n\n- `arrival_no`（到货单号）\n- `src_bill_no` / `source_no`（来源单号）\n- `order_no`（采购订单号）\n- 或者其它什么字段？\n\n你告诉我关联字段名，我就能直接写出完整的 SQL 了。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":55,"output":92,"cacheRead":31488,"cacheWrite":0,"totalTokens":31635,"cost":{"input":0.000054999999999999995,"output":0.000184,"cacheRead":0,"cacheWrite":0,"total":0.000239}},"stopReason":"stop","timestamp":1784109840437,"responseId":"e2a7cf1e-c246-4d51-b8a5-498bd181dfce"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验\n-- 批量更新 dmp_smes.qc_task_inspect 的 create_time update_time中的日期部分为 对应insp_time","timestamp":1784109869504,"idempotencyKey":"31a50ea4-daa6-44a6-b525-6e085ebd2335:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"啊，看明白了！你的意思是 **直接用 `insp_time` 作为日期源**，不需要关联到货单：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单汇总\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|--------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 否 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（关联主表） | 是 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 否 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 否 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（关联主表） | 是 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 否 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（关联主表） | 是 |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | 否 |\n\n还有要处理的表吗？一起搞定 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":242,"output":471,"cacheRead":31616,"cacheWrite":0,"totalTokens":32329,"cost":{"input":0.000242,"output":0.0009419999999999999,"cacheRead":0,"cacheWrite":0,"total":0.001184}},"stopReason":"stop","timestamp":1784109870180,"responseId":"0bddd8b3-54ef-4280-b497-c5f6e7c4c117"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in set bill_date='2026-01-23',completed_at='2026-01-24 10:33:27', create_time='2026-01-23 09:56:17',update_time='2026-01-24 10:33:27' where stock_in_no='PE2026000002' and ecid ='hsjm';\n把时间等于最后入库时间。\n-- 采购入库主表\n-- 批量更新 dmp_serp.dmp_im_stock_in 的 create_time update_time中的日期部分为 对应的completed_at","timestamp":1784109898245,"idempotencyKey":"19ea56c9-af6f-4a6e-8331-4c25e67fc817:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `completed_at`（最后入库时间）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（9个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|:----:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n\n还继续有吗？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":229,"output":499,"cacheRead":32256,"cacheWrite":0,"totalTokens":32984,"cost":{"input":0.00022899999999999998,"output":0.000998,"cacheRead":0,"cacheWrite":0,"total":0.001227}},"stopReason":"stop","timestamp":1784109898887,"responseId":"4df6ab45-0f41-4730-9b14-34965a8d2fc5"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in_out_flow_detail set stock_date='2026-01-24',bill_date='2026-01-23',update_time='2026-01-24 09:12:43',create_time='2026-01-23 09:46:37' where flow_no='SIO20260410000001' and ecid ='hsjm';\n\n把时间等于最后入库时间。\n-- 采购出入库记录\n-- 批量更新 dmp_serp.dmp_im_stock_in_out_flow_detail 的 create_time update_time中的日期部分为 对应的stock_date","timestamp":1784109928282,"idempotencyKey":"fc11b4ae-ecb7-44e7-b501-01b59e37bf0c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `stock_date`：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in_out_flow_detail\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（10个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n\n还有吗？一次全整完，然后我给你生成一个**完整的 SQL 脚本文件**，方便你一次性执行 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":247,"output":551,"cacheRead":32896,"cacheWrite":0,"totalTokens":33694,"cost":{"input":0.000247,"output":0.001102,"cacheRead":0,"cacheWrite":0,"total":0.001349}},"stopReason":"stop","timestamp":1784109928948,"responseId":"530e1437-c5c6-4d13-9bd9-ceb4ee9ee99d"},{"role":"user","content":"update dmp_serp.dmp_im_stock_out set bill_date='2026-01-10',delivery_at='2026-01-25 10:26:19', create_time='2026-01-10 11:03:04', update_time='2026-01-25 10:26:19' where stock_out_no='PD2026000127' and ecid='hsjm';\n把时间等于单据日期。\n-- 生产领料单\n-- 批量更新 dmp_serp.dmp_im_stock_out 的 create_time update_time中的日期部分为 对应的bill_date","timestamp":1784109964929,"idempotencyKey":"cce96fb1-3bfc-4883-adaf-9111e6c44dd2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `bill_date`（单据日期）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_out\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（11个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n\n继续还是可以帮你生成完整脚本了？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":185,"output":566,"cacheRead":33664,"cacheWrite":0,"totalTokens":34415,"cost":{"input":0.000185,"output":0.001132,"cacheRead":0,"cacheWrite":0,"total":0.001317}},"stopReason":"stop","timestamp":1784109965649,"responseId":"46255802-137d-4009-afcd-6da8548f271b"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in_out_flow_detail set stock_date='2026-04-05',bill_date='2026-03-21',update_time='2026-04-05 14:07:09',create_time='2026-03-21 12:11:27' where flow_no='SIO20260410000236' and ecid ='hsjm';\n把时间等于单据日期。\n-- -领料出库记录\n-- 批量更新 dmp_serp.dmp_im_stock_in_out_flow_detail 的 create_time update_time中的日期部分为 对应的stock_date","timestamp":1784109993896,"idempotencyKey":"90f480c3-711d-4afa-8813-526c1cba7146:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"这个表之前已经处理过了（序号10），但之前的日期源是 `stock_date`（你说\"时间等于最后入库时间\"），现在这个你说\"时间等于单据日期\"。\n\n那我看看——同一个表 `dmp_im_stock_in_out_flow_detail`，之前是入库记录用 `stock_date`，现在是出库记录也用 `stock_date`，其实是一样的对吧？\n\n那我保持之前的脚本不变（用 `stock_date` 作为日期源），它已经覆盖了这个表的所有 `ecid = 'hsjm'` 记录：\n\n```sql\n-- 已在序号10中覆盖，无需重复\n```\n\n不过如果你想**区分入库和出库**来用不同的日期源，那就需要告诉我用什么字段来区分（比如单据类型字段）。\n\n还是说这个表统一用 `stock_date` 就行了？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":270,"output":172,"cacheRead":34304,"cacheWrite":0,"totalTokens":34746,"cost":{"input":0.00027,"output":0.00034399999999999996,"cacheRead":0,"cacheWrite":0,"total":0.000614}},"stopReason":"stop","timestamp":1784109994584,"responseId":"0e44ed7f-eb7e-4ba0-a1c8-3045b209ec87"},{"role":"user","content":"UPDATE dmp_smes.dmp_me_work_operate_record_detail SET stock_in_date ='2026-02-07',report_date ='2026-02-06 14:06:18',create_time ='2026-02-06 14:06:18',update_time='2026-02-06 14:06:18' WHERE batch_no='MSN00000919' AND ecid ='hsjm';\n\n把时间等于报工日期。\n-- 生产报工记录\n-- 批量更新 dmp_smes.dmp_me_work_operate_record_detail 的 create_time update_time中的日期部分为 对应的report_date","timestamp":1784110030260,"idempotencyKey":"18cd925e-1adf-452f-a337-09bcf00c489c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `report_date`（报工日期）：\n\n```sql\nUPDATE dmp_smes.dmp_me_work_operate_record_detail\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(report_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(report_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（12个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n| 12 | `dmp_me_work_operate_record_detail` | `dmp_smes` | `report_date` | ❌ |\n\n还有吗？差不多了吧，要不要我帮你生成一个**完整的 SQL 脚本文件**？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":223,"output":613,"cacheRead":34688,"cacheWrite":0,"totalTokens":35524,"cost":{"input":0.000223,"output":0.0012259999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0014489999999999998}},"stopReason":"stop","timestamp":1784110031005,"responseId":"05098369-82e0-49aa-8fb8-ace75f94ba2c"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in set bill_date='2026-02-06',completed_at='2026-02-07 11:13:38', create_time='2026-02-06 14:06:18',update_time='2026-02-07 11:13:38' where stock_in_no='PI2604100002' and ecid ='hsjm';\n\n把时间等于单据日期。\n-- 生产入库单\n-- 批量更新 dmp_serp.dmp_im_stock_in 的 create_time update_time中的日期部分为 对应的bill_date","timestamp":1784110061318,"idempotencyKey":"b2248248-f715-42f6-9b39-d10f30b2d7c2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"之前序号9用的 `completed_at`，现在改成用 `bill_date`。以你最新的要求为准，更新脚本：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 最终更新清单（12个表，已按最新要求修正）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `bill_date` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n| 12 | `dmp_me_work_operate_record_detail` | `dmp_smes` | `report_date` | ❌ |\n\n还要继续加表吗？还是我帮你把这 12 条 SQL 生成一个完整的脚本文件，方便你一键执行？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":222,"output":636,"cacheRead":35456,"cacheWrite":0,"totalTokens":36314,"cost":{"input":0.000222,"output":0.001272,"cacheRead":0,"cacheWrite":0,"total":0.0014939999999999999}},"stopReason":"stop","timestamp":1784110062026,"responseId":"44204c2c-90d6-418f-8e5c-1a5559d966fc"},{"role":"user","content":"update dmp_serp.dmp_om_deliver_order set create_time ='2026-02-08 16:17:09',update_time ='2026-02-08 16:17:09',om_deliverdate ='2026-02-08' where ecid ='hsjm' and om_deliverorder ='FHO2026000003';\n把时间等于要求发货日期。\n-- 销售发货单\n-- 批量更新 dmp_serp.dmp_om_deliver_order 的 create_time update_time中的日期部分为 对应的om_deliverdate\n\nupdate dmp_serp.dmp_om_deliver_productinfo set create_time ='2026-02-08 10:00:40',update_time ='2026-02-08 10:00:40' where ecid ='hsjm' and om_deliverorder ='FHO2026000002';\nupdate dmp_serp.dmp_om_deliver_productinfo set create_time ='2026-02-08 16:17:09',update_time ='2026-02-08 16:17:09' where ecid ='hsjm' and om_deliverorder ='FHO2026000003';\n把时间等于要求发货日期。\n-- 发货单明细\n-- 批量更新 dmp_serp.dmp_om_deliver_productinfo 的 create_time update_time中的日期部分为 对应的om_deliverdate\n-- 根据 dmp_serp.dmp_om_deliver_productinfo.om_deliverorder ecid 关联 dmp_serp.dmp_om_deliver_order.om_deliverorder ecid","timestamp":1784110153457,"idempotencyKey":"a1c56d85-1317-4a95-a5c0-0219f9d08e80:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"好，两个表一起处理。\n\n## 销售发货单主表\n\n```sql\nUPDATE dmp_serp.dmp_om_deliver_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_deliverdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_deliverdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 发货单明细表\n\n```sql\nUPDATE dmp_serp.dmp_om_deliver_productinfo dpi\nJOIN dmp_serp.dmp_om_deliver_order d\n ON dpi.ecid = d.ecid AND dpi.om_deliverorder = d.om_deliverorder\nSET \n dpi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(d.om_deliverdate, '%Y-%m-%d'), ' ', DATE_FORMAT(dpi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n dpi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(d.om_deliverdate, '%Y-%m-%d'), ' ', DATE_FORMAT(dpi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE dpi.ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（14个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `bill_date` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n| 12 | `dmp_me_work_operate_record_detail` | `dmp_smes` | `report_date` | ❌ |\n| 13 | `dmp_om_deliver_order` | `dmp_serp` | `om_deliverdate` | ❌ |\n| 14 | `dmp_om_deliver_productinfo` | `dmp_serp` | `om_deliverdate`（JOIN 主表） | ✅ |\n\n还要继续吗？差不多了的话我帮你生成完整 SQL 脚本文件？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":488,"output":908,"cacheRead":36224,"cacheWrite":0,"totalTokens":37620,"cost":{"input":0.000488,"output":0.001816,"cacheRead":0,"cacheWrite":0,"total":0.002304}},"stopReason":"stop","timestamp":1784110154228,"responseId":"cc8fab7c-7b8b-43d3-a996-67bab9d75632"}],"imagesCount":0}}
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{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","source":"runtime","type":"model.completed","ts":"2026-07-15T10:10:21.272Z","seq":5,"sourceSeq":117,"sessionId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","sessionKey":"agent:main:dashboard:2fdf88e4-fa3f-46c2-b547-384e2c048b11","runId":"c7b37ba9-edd3-4966-9b52-0686f1e8ffdd","workspaceDir":"/home/yangxuan/.openclaw/workspace","provider":"deepseek","modelId":"deepseek-v4-flash","modelApi":"openai-completions","data":{"aborted":false,"externalAbort":false,"timedOut":false,"idleTimedOut":false,"timedOutDuringCompaction":false,"timedOutDuringToolExecution":false,"timedOutByRunBudget":false,"promptErrorSource":null,"usage":{"input":254,"output":691,"cacheRead":37504,"total":38449},"promptCache":{"lastCallUsage":{"input":254,"output":691,"cacheRead":37504,"cacheWrite":0,"total":38449},"lastCacheTouchAt":1784110216586},"compactionCount":0,"assistantTexts":["```sql\nUPDATE dmp_smes.dmp_me_produce_pick\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(document_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(document_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（15个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `bill_date` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n| 12 | `dmp_me_work_operate_record_detail` | `dmp_smes` | `report_date` | ❌ |\n| 13 | `dmp_om_deliver_order` | `dmp_serp` | `om_deliverdate` | ❌ |\n| 14 | `dmp_om_deliver_productinfo` | `dmp_serp` | `om_deliverdate`（JOIN 主表） | ✅ |\n| 15 | `dmp_me_produce_pick` | `dmp_smes` | `document_date` | ❌ |\n\n还要继续吗？还是生成完整脚本了？😄"],"finalPromptText":"UPDATE `dmp_smes`.`dmp_me_produce_pick` SET document_date = '2026-01-10 00:00:00',maintain_time = '2026-01-25 10:26:19' WHERE ecid = 'hsjm' and stock_out_apply_no = 'PD2026000127';\n把时间等于要求单据日期。\n-- 领料单\n-- 批量更新 dmp_smes.dmp_me_produce_pick 的 create_time update_time中的日期部分为 对应的document_date","messagesSnapshot":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate \n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","timestamp":1784109538113,"idempotencyKey":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"},{"role":"user","content":"保留原时分秒，只改日期部分\nUPDATE dmp_spom.dmp_mrp_main_plan_task SET plan_start_time='2026-07-07 11:03:04',create_time='2026-07-07 10:58:04',update_time='2026-07-07 11:03:04' WHERE ecid='kanda' AND plan_no='PLAN2026071414255193535522';\n-- 物料计划主表\n-- 批量更新 dmp_spom.dmp_mrp_main_plan_task 的 create_time update_time中的日期部分为 对应的plan_start_time","timestamp":1784109596434,"idempotencyKey":"7c28a842-8a9f-4cc4-9094-1298d4ce1a5c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**物料计划主表 `dmp_mrp_main_plan_task`**，要把 `create_time` 和 `update_time` 的日期部分改为对应的 `plan_start_time`，保留原时分秒。\n\n## 更新脚本\n\n```sql\nUPDATE dmp_spom.dmp_mrp_main_plan_task\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'kanda';\n```\n\n范围条件？我看你前面说的是\"计划开始时间是7月份的数据\"，但 `plan_start_time` 看样例已经是 7 月份。你对范围有要求吗？比如：\n\n```sql\n-- 如果只要 plan_start_time 在7月份的数据\nAND plan_start_time >= '2026-07-01' AND plan_start_time < '2026-08-01'\n\n-- 或者只要 plan_start_time 日期和 create_time 日期不一致的（避免无意义更新）\nAND DATE(plan_start_time) != DATE(create_time)\n```\n\n需要加范围条件吗？还是直接全量更新 `ecid = 'kanda'` 的所有记录？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":1021,"output":340,"cacheRead":26880,"cacheWrite":0,"totalTokens":28241,"cost":{"input":0.001021,"output":0.0006799999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0017009999999999998}},"stopReason":"stop","timestamp":1784109597165,"responseId":"3546056a-f6d1-4805-b0d2-e4d5739d2293"},{"role":"user","content":"采购订单\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37' where ecid = 'hsjm' and order_no ='PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 16:10:47', update_time ='2026-01-12 16:10:47' where ecid = 'hsjm' and order_no ='PO2026000002';\n把 时间等于下单时间。\n-- 采购订单\n-- 批量更新 dmp_serp.dmp_mc_purchase_order 的 create_time update_time中的日期部分为 对应的order_date\n\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\n把 时间等于下单时间。\n\n-- 采购明细表\n-- 批量更新 dmp_serp.dmp_mc_purchase_order_detail 的 create_time update_time中的日期部分为 对应的order_date","timestamp":1784109736511,"idempotencyKey":"dea79fe3-9e82-4fcc-932b-78fe7ffb7ea2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，两个表一起处理，都是**采购订单**相关，用 `order_date` 作为日期源。\n\n## 采购订单主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购订单明细表\n\n明细表需要通过 `order_no` 和 `ecid` 关联主表获取 `order_date`：\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order_detail pd\nJOIN dmp_serp.dmp_mc_purchase_order po \n ON pd.ecid = po.ecid AND pd.order_no = po.order_no\nSET \n pd.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pd.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE pd.ecid = 'hsjm';\n```\n\n同样你提到的 **plan_arrival_date**——明细表里也有这个字段，看你样例里也在改它。但你的需求描述里只提了 `create_time` 和 `update_time`，`plan_arrival_date` 是否需要基于主表的 `plan_arrival_date` 同步更新？如果需要，可以加上：\n\n```sql\n-- 在明细表的 SET 中加上 plan_arrival_date 同步\n pd.plan_arrival_date = po.plan_arrival_date,\n```\n\n---\n\n汇总一下你到目前为止的更新清单：\n\n| 序号 | 表 | 日期源字段 |\n|------|-----|-----------|\n| 1 | `dmp_serp.dmp_om_order` | `om_orderdate` |\n| 2 | `dmp_serp.dmp_om_productinfo` | 关联主表 `om_orderdate` |\n| 3 | `dmp_spom.dmp_mrp_main_plan_task` | `plan_start_time` |\n| 4 | `dmp_serp.dmp_mc_purchase_order` | `order_date` |\n| 5 | `dmp_serp.dmp_mc_purchase_order_detail` | 关联主表 `order_date` |\n\n还有其他表要处理吗？一次性都帮你搞定 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":537,"output":666,"cacheRead":28160,"cacheWrite":0,"totalTokens":29363,"cost":{"input":0.0005369999999999999,"output":0.0013319999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0018689999999999998}},"stopReason":"stop","timestamp":1784109737239,"responseId":"4b7762d3-e202-4784-90ea-1934b8437ee9"},{"role":"user","content":"采购到货\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 14:59:11', update_time = '2026-01-22 14:59:11' where ecid = 'hsjm' and arrival_no = 'PAD2026000001';\n\n\n把 时间等于送货时间。\n-- 采购到货主表\n\n\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\n\n把 时间等于送货时间。\n-- 采购到货明细","timestamp":1784109773108,"idempotencyKey":"c1f0893e-59e7-4e66-8ebf-c96466a88991:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `ship_date`（送货时间/发货时间）。\n\n## 采购到货主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购到货明细表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival_detail ad\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON ad.ecid = a.ecid AND ad.arrival_no = a.arrival_no\nSET \n ad.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n ad.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ad.ecid = 'hsjm';\n```\n\n不过我看你的例子里，`ship_date` 和 `arrival_date` 都是 `'2026-01-22'`（同一天）。你说\"时间等于**送货时间**\"，那就是用 `ship_date` 作为日期源，没错吧？还是说你想用 `arrival_date`（到货时间）？\n\n---\n\n## 📋 完整更新清单（截至目前）\n\n| 序号 | 表 | 数据库 | 日期源字段 | 关联方式 |\n|------|-----|--------|-----------|---------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 直接更新 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate` | JOIN 主表 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 直接更新 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 直接更新 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date` | JOIN 主表 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 直接更新 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date` | JOIN 主表 |\n\n还继续有吗？一次性整完 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":427,"output":719,"cacheRead":29312,"cacheWrite":0,"totalTokens":30458,"cost":{"input":0.00042699999999999997,"output":0.001438,"cacheRead":0,"cacheWrite":0,"total":0.001865}},"stopReason":"stop","timestamp":1784109773806,"responseId":"8409c206-8436-4c31-93df-a6c9c78ea7a5"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验","timestamp":1784109808938,"idempotencyKey":"4b7a78ce-766c-439b-8784-ec9eef3f92ac:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**来料检验表**，需要关联**采购到货单**获取 `ship_date`。\n\n关联关系：`qc_task_inspect` 通过某个字段关联到采购到货单？我先看看常见关联方式——通常来料检验单会记录 `arrival_no`（到货单号）和 `ecid`。\n\n如果 `qc_task_inspect` 里有 `arrival_no` 字段，关联到 `dmp_mc_purchase_arrival`：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect qi\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON qi.ecid = a.ecid AND qi.arrival_no = a.arrival_no\nSET \n qi.insp_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.insp_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE qi.ecid = 'hsjm';\n```\n\n不过我需要确认一下——`qc_task_inspect` 里**关联采购到货单的字段名是什么**？常见的有：\n- `arrival_no` — 到货单号\n- `src_bill_no` — 来源单据号\n\n你能看看表结构确认一下关联字段吗？或者直接告诉我 `qc_task_inspect` 里哪个字段存的是到货单号就行。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":317,"output":444,"cacheRead":30336,"cacheWrite":0,"totalTokens":31097,"cost":{"input":0.000317,"output":0.000888,"cacheRead":0,"cacheWrite":0,"total":0.001205}},"stopReason":"stop","timestamp":1784109809545,"responseId":"a97cc980-d1b1-4640-9631-1a5bc07b2155"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验 只有主表","timestamp":1784109834801,"idempotencyKey":"1b1a78a5-b104-491c-8c1a-3388b55520a1:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"只有主表，没有关联明细。那 `qc_task_inspect` 直接用某个字段关联到采购到货单获取 `ship_date`。我需要先看看这个表里有什么关联字段。\n\n让我查一下表结构："},{"type":"toolCall","id":"call00zNFXflO9uvHF88gvemNV1946","name":"exec","arguments":{"command":"mysql -u root -p'YourPassword' -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null || echo \"NEED_PASSWORD\""},"partialArgs":"{\"command\": \"mysql -u root -p'YourPassword' -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null || echo \\\"NEED_PASSWORD\\\"\"}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":320,"output":127,"cacheRead":30976,"cacheWrite":0,"totalTokens":31423,"cost":{"input":0.00031999999999999997,"output":0.000254,"cacheRead":0,"cacheWrite":0,"total":0.000574}},"stopReason":"toolUse","timestamp":1784109835616,"responseId":"6d7b9ef4-7af8-4b71-a201-06dba58c46a8"},{"role":"toolResult","toolCallId":"call00zNFXflO9uvHF88gvemNV1946","toolName":"exec","content":[{"type":"text","text":"NEED_PASSWORD"}],"isError":false,"timestamp":1784109838817},{"role":"assistant","content":[{"type":"toolCall","id":"call00PIuYMg0px60fCGWCIhay2037","name":"exec","arguments":{"command":"mysql -u root -p -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null | head -50","timeout":10},"partialArgs":"{\"command\": \"mysql -u root -p -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null | head -50\", \"timeout\": 10}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":79,"output":90,"cacheRead":31360,"cacheWrite":0,"totalTokens":31529,"cost":{"input":0.000079,"output":0.00017999999999999998,"cacheRead":0,"cacheWrite":0,"total":0.000259}},"stopReason":"toolUse","timestamp":1784109838831,"responseId":"1ac67ea0-15ab-4d4d-8d1a-bec64bd8a1be"},{"role":"toolResult","toolCallId":"call00PIuYMg0px60fCGWCIhay2037","toolName":"exec","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1784109840424},{"role":"assistant","content":[{"type":"text","text":"没有直连数据库的权限，没关系。你看看 `qc_task_inspect` 表里有什么字段可以用来关联到采购到货单？比如：\n\n- `arrival_no`（到货单号）\n- `src_bill_no` / `source_no`（来源单号）\n- `order_no`（采购订单号）\n- 或者其它什么字段？\n\n你告诉我关联字段名，我就能直接写出完整的 SQL 了。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":55,"output":92,"cacheRead":31488,"cacheWrite":0,"totalTokens":31635,"cost":{"input":0.000054999999999999995,"output":0.000184,"cacheRead":0,"cacheWrite":0,"total":0.000239}},"stopReason":"stop","timestamp":1784109840437,"responseId":"e2a7cf1e-c246-4d51-b8a5-498bd181dfce"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验\n-- 批量更新 dmp_smes.qc_task_inspect 的 create_time update_time中的日期部分为 对应insp_time","timestamp":1784109869504,"idempotencyKey":"31a50ea4-daa6-44a6-b525-6e085ebd2335:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"啊，看明白了！你的意思是 **直接用 `insp_time` 作为日期源**，不需要关联到货单：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单汇总\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|--------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 否 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（关联主表） | 是 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 否 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 否 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（关联主表） | 是 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 否 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（关联主表） | 是 |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | 否 |\n\n还有要处理的表吗？一起搞定 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":242,"output":471,"cacheRead":31616,"cacheWrite":0,"totalTokens":32329,"cost":{"input":0.000242,"output":0.0009419999999999999,"cacheRead":0,"cacheWrite":0,"total":0.001184}},"stopReason":"stop","timestamp":1784109870180,"responseId":"0bddd8b3-54ef-4280-b497-c5f6e7c4c117"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in set bill_date='2026-01-23',completed_at='2026-01-24 10:33:27', create_time='2026-01-23 09:56:17',update_time='2026-01-24 10:33:27' where stock_in_no='PE2026000002' and ecid ='hsjm';\n把时间等于最后入库时间。\n-- 采购入库主表\n-- 批量更新 dmp_serp.dmp_im_stock_in 的 create_time update_time中的日期部分为 对应的completed_at","timestamp":1784109898245,"idempotencyKey":"19ea56c9-af6f-4a6e-8331-4c25e67fc817:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `completed_at`（最后入库时间）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（9个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|:----:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n\n还继续有吗？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":229,"output":499,"cacheRead":32256,"cacheWrite":0,"totalTokens":32984,"cost":{"input":0.00022899999999999998,"output":0.000998,"cacheRead":0,"cacheWrite":0,"total":0.001227}},"stopReason":"stop","timestamp":1784109898887,"responseId":"4df6ab45-0f41-4730-9b14-34965a8d2fc5"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in_out_flow_detail set stock_date='2026-01-24',bill_date='2026-01-23',update_time='2026-01-24 09:12:43',create_time='2026-01-23 09:46:37' where flow_no='SIO20260410000001' and ecid ='hsjm';\n\n把时间等于最后入库时间。\n-- 采购出入库记录\n-- 批量更新 dmp_serp.dmp_im_stock_in_out_flow_detail 的 create_time update_time中的日期部分为 对应的stock_date","timestamp":1784109928282,"idempotencyKey":"fc11b4ae-ecb7-44e7-b501-01b59e37bf0c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `stock_date`：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in_out_flow_detail\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（10个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n\n还有吗？一次全整完，然后我给你生成一个**完整的 SQL 脚本文件**，方便你一次性执行 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":247,"output":551,"cacheRead":32896,"cacheWrite":0,"totalTokens":33694,"cost":{"input":0.000247,"output":0.001102,"cacheRead":0,"cacheWrite":0,"total":0.001349}},"stopReason":"stop","timestamp":1784109928948,"responseId":"530e1437-c5c6-4d13-9bd9-ceb4ee9ee99d"},{"role":"user","content":"update dmp_serp.dmp_im_stock_out set bill_date='2026-01-10',delivery_at='2026-01-25 10:26:19', create_time='2026-01-10 11:03:04', update_time='2026-01-25 10:26:19' where stock_out_no='PD2026000127' and ecid='hsjm';\n把时间等于单据日期。\n-- 生产领料单\n-- 批量更新 dmp_serp.dmp_im_stock_out 的 create_time update_time中的日期部分为 对应的bill_date","timestamp":1784109964929,"idempotencyKey":"cce96fb1-3bfc-4883-adaf-9111e6c44dd2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `bill_date`（单据日期）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_out\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（11个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n\n继续还是可以帮你生成完整脚本了？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":185,"output":566,"cacheRead":33664,"cacheWrite":0,"totalTokens":34415,"cost":{"input":0.000185,"output":0.001132,"cacheRead":0,"cacheWrite":0,"total":0.001317}},"stopReason":"stop","timestamp":1784109965649,"responseId":"46255802-137d-4009-afcd-6da8548f271b"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in_out_flow_detail set stock_date='2026-04-05',bill_date='2026-03-21',update_time='2026-04-05 14:07:09',create_time='2026-03-21 12:11:27' where flow_no='SIO20260410000236' and ecid ='hsjm';\n把时间等于单据日期。\n-- -领料出库记录\n-- 批量更新 dmp_serp.dmp_im_stock_in_out_flow_detail 的 create_time update_time中的日期部分为 对应的stock_date","timestamp":1784109993896,"idempotencyKey":"90f480c3-711d-4afa-8813-526c1cba7146:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"这个表之前已经处理过了（序号10），但之前的日期源是 `stock_date`（你说\"时间等于最后入库时间\"），现在这个你说\"时间等于单据日期\"。\n\n那我看看——同一个表 `dmp_im_stock_in_out_flow_detail`，之前是入库记录用 `stock_date`，现在是出库记录也用 `stock_date`，其实是一样的对吧？\n\n那我保持之前的脚本不变（用 `stock_date` 作为日期源），它已经覆盖了这个表的所有 `ecid = 'hsjm'` 记录：\n\n```sql\n-- 已在序号10中覆盖，无需重复\n```\n\n不过如果你想**区分入库和出库**来用不同的日期源，那就需要告诉我用什么字段来区分（比如单据类型字段）。\n\n还是说这个表统一用 `stock_date` 就行了？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":270,"output":172,"cacheRead":34304,"cacheWrite":0,"totalTokens":34746,"cost":{"input":0.00027,"output":0.00034399999999999996,"cacheRead":0,"cacheWrite":0,"total":0.000614}},"stopReason":"stop","timestamp":1784109994584,"responseId":"0e44ed7f-eb7e-4ba0-a1c8-3045b209ec87"},{"role":"user","content":"UPDATE dmp_smes.dmp_me_work_operate_record_detail SET stock_in_date ='2026-02-07',report_date ='2026-02-06 14:06:18',create_time ='2026-02-06 14:06:18',update_time='2026-02-06 14:06:18' WHERE batch_no='MSN00000919' AND ecid ='hsjm';\n\n把时间等于报工日期。\n-- 生产报工记录\n-- 批量更新 dmp_smes.dmp_me_work_operate_record_detail 的 create_time update_time中的日期部分为 对应的report_date","timestamp":1784110030260,"idempotencyKey":"18cd925e-1adf-452f-a337-09bcf00c489c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `report_date`（报工日期）：\n\n```sql\nUPDATE dmp_smes.dmp_me_work_operate_record_detail\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(report_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(report_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（12个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n| 12 | `dmp_me_work_operate_record_detail` | `dmp_smes` | `report_date` | ❌ |\n\n还有吗？差不多了吧，要不要我帮你生成一个**完整的 SQL 脚本文件**？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":223,"output":613,"cacheRead":34688,"cacheWrite":0,"totalTokens":35524,"cost":{"input":0.000223,"output":0.0012259999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0014489999999999998}},"stopReason":"stop","timestamp":1784110031005,"responseId":"05098369-82e0-49aa-8fb8-ace75f94ba2c"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in set bill_date='2026-02-06',completed_at='2026-02-07 11:13:38', create_time='2026-02-06 14:06:18',update_time='2026-02-07 11:13:38' where stock_in_no='PI2604100002' and ecid ='hsjm';\n\n把时间等于单据日期。\n-- 生产入库单\n-- 批量更新 dmp_serp.dmp_im_stock_in 的 create_time update_time中的日期部分为 对应的bill_date","timestamp":1784110061318,"idempotencyKey":"b2248248-f715-42f6-9b39-d10f30b2d7c2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"之前序号9用的 `completed_at`，现在改成用 `bill_date`。以你最新的要求为准，更新脚本：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 最终更新清单（12个表，已按最新要求修正）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `bill_date` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n| 12 | `dmp_me_work_operate_record_detail` | `dmp_smes` | `report_date` | ❌ |\n\n还要继续加表吗？还是我帮你把这 12 条 SQL 生成一个完整的脚本文件，方便你一键执行？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":222,"output":636,"cacheRead":35456,"cacheWrite":0,"totalTokens":36314,"cost":{"input":0.000222,"output":0.001272,"cacheRead":0,"cacheWrite":0,"total":0.0014939999999999999}},"stopReason":"stop","timestamp":1784110062026,"responseId":"44204c2c-90d6-418f-8e5c-1a5559d966fc"},{"role":"user","content":"update dmp_serp.dmp_om_deliver_order set create_time ='2026-02-08 16:17:09',update_time ='2026-02-08 16:17:09',om_deliverdate ='2026-02-08' where ecid ='hsjm' and om_deliverorder ='FHO2026000003';\n把时间等于要求发货日期。\n-- 销售发货单\n-- 批量更新 dmp_serp.dmp_om_deliver_order 的 create_time update_time中的日期部分为 对应的om_deliverdate\n\nupdate dmp_serp.dmp_om_deliver_productinfo set create_time ='2026-02-08 10:00:40',update_time ='2026-02-08 10:00:40' where ecid ='hsjm' and om_deliverorder ='FHO2026000002';\nupdate dmp_serp.dmp_om_deliver_productinfo set create_time ='2026-02-08 16:17:09',update_time ='2026-02-08 16:17:09' where ecid ='hsjm' and om_deliverorder ='FHO2026000003';\n把时间等于要求发货日期。\n-- 发货单明细\n-- 批量更新 dmp_serp.dmp_om_deliver_productinfo 的 create_time update_time中的日期部分为 对应的om_deliverdate\n-- 根据 dmp_serp.dmp_om_deliver_productinfo.om_deliverorder ecid 关联 dmp_serp.dmp_om_deliver_order.om_deliverorder ecid","timestamp":1784110153457,"idempotencyKey":"a1c56d85-1317-4a95-a5c0-0219f9d08e80:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"好，两个表一起处理。\n\n## 销售发货单主表\n\n```sql\nUPDATE dmp_serp.dmp_om_deliver_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_deliverdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_deliverdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 发货单明细表\n\n```sql\nUPDATE dmp_serp.dmp_om_deliver_productinfo dpi\nJOIN dmp_serp.dmp_om_deliver_order d\n ON dpi.ecid = d.ecid AND dpi.om_deliverorder = d.om_deliverorder\nSET \n dpi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(d.om_deliverdate, '%Y-%m-%d'), ' ', DATE_FORMAT(dpi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n dpi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(d.om_deliverdate, '%Y-%m-%d'), ' ', DATE_FORMAT(dpi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE dpi.ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（14个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `bill_date` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n| 12 | `dmp_me_work_operate_record_detail` | `dmp_smes` | `report_date` | ❌ |\n| 13 | `dmp_om_deliver_order` | `dmp_serp` | `om_deliverdate` | ❌ |\n| 14 | `dmp_om_deliver_productinfo` | `dmp_serp` | `om_deliverdate`（JOIN 主表） | ✅ |\n\n还要继续吗？差不多了的话我帮你生成完整 SQL 脚本文件？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":488,"output":908,"cacheRead":36224,"cacheWrite":0,"totalTokens":37620,"cost":{"input":0.000488,"output":0.001816,"cacheRead":0,"cacheWrite":0,"total":0.002304}},"stopReason":"stop","timestamp":1784110154228,"responseId":"cc8fab7c-7b8b-43d3-a996-67bab9d75632"},{"role":"user","content":[{"type":"text","text":"UPDATE `dmp_smes`.`dmp_me_produce_pick` SET document_date = '2026-01-10 00:00:00',maintain_time = '2026-01-25 10:26:19' WHERE ecid = 'hsjm' and stock_out_apply_no = 'PD2026000127';\n把时间等于要求单据日期。\n-- 领料单\n-- 批量更新 dmp_smes.dmp_me_produce_pick 的 create_time update_time中的日期部分为 对应的document_date"}],"timestamp":1784110216544},{"role":"assistant","content":[{"type":"text","text":"```sql\nUPDATE dmp_smes.dmp_me_produce_pick\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(document_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(document_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（15个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `bill_date` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n| 12 | `dmp_me_work_operate_record_detail` | `dmp_smes` | `report_date` | ❌ |\n| 13 | `dmp_om_deliver_order` | `dmp_serp` | `om_deliverdate` | ❌ |\n| 14 | `dmp_om_deliver_productinfo` | `dmp_serp` | `om_deliverdate`（JOIN 主表） | ✅ |\n| 15 | `dmp_me_produce_pick` | `dmp_smes` | `document_date` | ❌ |\n\n还要继续吗？还是生成完整脚本了？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":254,"output":691,"cacheRead":37504,"cacheWrite":0,"totalTokens":38449,"cost":{"input":0.000254,"output":0.001382,"cacheRead":0,"cacheWrite":0,"total":0.0016359999999999999}},"stopReason":"stop","timestamp":1784110216586,"responseId":"95f93789-0afe-451d-82ea-0d969822d918"}]}}
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Use when editing or reviewing\ntext to make it sound more natural and human-written. Based on Wikipedia's\ncomprehensive \"Signs of AI writing\" guide. Detects and fixes patterns including:\ninflated symbolism, promotional language, superficial -ing analyses, vague\nattributions, em dash overuse, rule of three, AI vocabulary words, negative\nparallelisms, and excessive conjunctive phrases.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/humanizer/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"imap-smtp-email","name":"imap-smtp-email","description":"Read and send email via IMAP/SMTP. Check for new/unread messages, fetch content, search mailboxes, mark as read/unread, and send emails with attachments. Supports multiple accounts. Works with any IMAP/SMTP server including Gmail, Outlook, 163.com, vip.163.com, 126.com, vip.126.com, 188.com, and vip.188.com.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/imap-smtp-email/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"meme-maker","name":"meme-maker","description":"Search meme templates, suggest formats, and generate local or hosted image memes.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"multi-search-engine","name":"multi-search-engine","description":"Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/multi-search-engine/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"MySQL","name":"MySQL","description":"Write correct MySQL queries with proper character sets, indexing, transactions, and production patterns.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/MySQL/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"news-summary","name":"news-summary","description":"This skill should be used when the user asks for news updates, daily briefings, or what's happening in the world. Fetches news from trusted international RSS feeds and can create voice summaries.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/news-summary/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"node-connect","name":"node-connect","description":"Diagnose OpenClaw Android, iOS, or macOS node pairing, QR/setup code, route, auth, and connection failures.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"node-inspect-debugger","name":"node-inspect-debugger","description":"Debug Node.js with node inspect, --inspect, breakpoints, CDP, heap, and CPU profiles.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"obsidian-official-cli","name":"obsidian-official-cli","description":"Work with Obsidian vaults using the official Obsidian CLI (v1.12+). Open, search, create, move, and manage notes from the terminal. Use when working with Obsidian vaults for note management, file operations, searching content, managing tasks, properties, links, plugins, themes, sync operations, or any command-line interaction with Obsidian.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/obsidian-official-cli/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"opencode-controller","name":"opencode-controller","description":"Control and operate Opencode via slash commands. Use this skill to manage sessions, select models, switch agents (plan/build), and coordinate coding through Opencode.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/opencode-controller/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"openspec","name":"openspec","description":"Spec-driven development with OpenSpec CLI. Use when building features, migrations, refactors, or any structured development work. Manages proposal → specs → design → tasks → implementation workflows. Supports custom schemas (TDD, rapid, etc.). Trigger on requests involving feature planning, spec writing, change management, or when /opsx commands are mentioned.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/openspec/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/openspec","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/openspec","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/openspec/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"python-debugpy","name":"python-debugpy","description":"Debug Python with pdb, breakpoint(), post-mortem inspection, and debugpy remote attach.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"qiushi-openclaw-skills","name":"qiushi-openclaw-skills","description":"求是 OpenClaw Skills 是基于毛泽东思想方法论的 AI Agent 技能集合，按照 OpenClaw 技能格式进行改造，旨在为 AI 提供系统化的思考和行动框架。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/qiushi-openclaw-skill/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"requirements-analyst","name":"requirements-analyst","description":"将产品需求转化为前后端可执行的技术规范，输出离线性优先的结构化文档。当用户提出产品需求、PRD、功能描述或模糊想法时自动触发。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/requirements-analyst/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"rss-ai-reader","name":"rss-ai-reader","description":"📰 RSS AI 阅读器 — 自动抓取订阅、LLM生成摘要、多渠道推送！\n支持 Claude/OpenAI 生成中文摘要，推送到飞书/Telegram/Email。\n触发条件: 用户要求订阅RSS、监控博客、抓取新闻、生成摘要、设置定时抓取、\n\"帮我订阅\"、\"监控这个网站\"、\"每天推送新闻\"、RSS/Atom feed 相关。","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/rss-ai-reader/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"skill-creator","name":"skill-creator","description":"Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"spike","name":"spike","description":"Run throwaway prototypes to validate feasibility, compare approaches, and report a verdict.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"Spreadsheet & Data Wrangling Master","name":"Spreadsheet & Data Wrangling Master","description":"Complete spreadsheet methodology — data cleanup, transformation, analysis, dashboards, automation, and reporting. Works with CSV, Excel, Google Sheets, or any tabular data. Use when the user needs to clean messy data, build reports, create dashboards, automate recurring spreadsheet tasks, or transform data between formats.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/afrexai-spreadsheet-master/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"sql-toolkit","name":"sql-toolkit","description":"Query, design, migrate, and optimize SQL databases. Use when working with SQLite, PostgreSQL, or MySQL — schema design, writing queries, creating migrations, indexing, backup/restore, and debugging slow queries. No ORMs required.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/sql-toolkit/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"taskflow","name":"taskflow","description":"Coordinate multi-step detached tasks as one durable TaskFlow job with owner context, state, waits, and child tasks.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"taskflow-inbox-triage","name":"taskflow-inbox-triage","description":"Example TaskFlow pattern for inbox triage, intent routing, waiting on replies, and later summaries.","filePath":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md","baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage","source":"openclaw-bundled","sourceInfo":{"baseDir":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage","origin":"top-level","path":"~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"using-superpowers","name":"using-superpowers","description":"Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/using-superpowers/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"weather","name":"weather","description":"Get current weather and forecasts (no API key required).","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/weather/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/weather","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/weather","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/weather/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true},{"id":"web-search","name":"web-search","description":"This skill should be used when users need to search the web for information, find current content, look up news articles, search for images, or find videos. It uses a self-hosted SearXNG instance to return results in clean, formatted output (text, markdown, or JSON). Use for research, fact-checking, finding recent information, or gathering web resources.","filePath":"$OPENCLAW_STATE_DIR/workspace/skills/web-search/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/web-search","source":"openclaw-workspace","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/workspace/skills/web-search","origin":"top-level","path":"$OPENCLAW_STATE_DIR/workspace/skills/web-search/SKILL.md","scope":"project","source":"openclaw-workspace"},"disableModelInvocation":false,"available":true}]},"prompting":{"skillsPrompt":"\n\nThe following skills provide specialized instructions for specific tasks.\nUse the read tool to load a skill's file when the task matches its description.\nIf a skill's <version> differs from a previous turn, re-read its SKILL.md before using it.\nWhen a skill file references a relative path, resolve it against the skill directory (parent of SKILL.md / dirname of the path) and use that absolute path in tool commands.\n\n<available_skills>\n <skill>\n <name>agent-browser</name>\n <description>Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection</description>\n <location>~/.openclaw/workspace/skills/agent-browser-clawdbot/SKILL.md</location>\n <version>sha256:9643b9c65476eedd</version>\n </skill>\n <skill>\n <name>chinese-calendar</name>\n <description>获取中国日历信息，包括节假日、调休安排、工作日判断。使用 timor.tech API，数据每年自动更新。Use when: 需要判断某天是否是工作日、查询节假日安排、了解调休情况。</description>\n <location>~/.openclaw/workspace/skills/chinese-calendar/SKILL.md</location>\n <version>sha256:40a9ba942647e641</version>\n </skill>\n <skill>\n <name>clawhub</name>\n <description>Search ClawHub for skills when a requested capability is not already available; install, verify, update, publish, or sync skills.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/clawhub/SKILL.md</location>\n <version>sha256:6bb70d95cbd1a545</version>\n </skill>\n <skill>\n <name>Code</name>\n <description>Coding workflow with planning, implementation, verification, and testing for clean software development.</description>\n <location>~/.openclaw/workspace/skills/openclaw-code/SKILL.md</location>\n <version>sha256:f09694134cc55cc0</version>\n </skill>\n <skill>\n <name>database-admin</name>\n <description>Comprehensive database administration, schema management, data operations, and optimization. Use when Codex needs to: (1) Create or modify database tables with proper indexing, (2) Perform bulk data insertions with type safety and constraint handling, (3) Execute complex queries with JOINs, aggregations, and subqueries, (4) Optimize query performance through indexing and execution plan analysis, (5) Manage database backups, restores, and migrations, (6) Handle special data types (BIGINT, UUID, JSONB, enums), (7) Implement transactional safety with ACID compliance, or (8) Debug and resolve database errors including constraint violations, type mismatches, and foreign key issues</description>\n <location>~/.openclaw/workspace/skills/database-admin/SKILL.md</location>\n <version>sha256:7649e43727f2fb8b</version>\n </skill>\n <skill>\n <name>database-schema-designer</name>\n <description>Database Schema Designer</description>\n <location>~/.openclaw/workspace/skills/database-schema-designer/SKILL.md</location>\n <version>sha256:3f2282ec8135dfdf</version>\n </skill>\n <skill>\n <name>db-query</name>\n <description>Query project databases with automatic SSH tunnel management. Use when you need to execute SQL queries against configured databases, especially those accessible only via SSH tunnels. Automatically manages SSH connection lifecycle (establishes tunnel before query, closes after). Supports multiple databases distinguished by description/name from config file.</description>\n <location>~/.openclaw/workspace/skills/db-query/SKILL.md</location>\n <version>sha256:eaffe1e617f2b8f2</version>\n </skill>\n <skill>\n <name>db-schema</name>\n <description>Generate database schemas, migrations, and ERD diagrams from plain English descriptions — supports PostgreSQL, MySQL, SQLite, and MongoDB with proper indexes and constraints.</description>\n <location>~/.openclaw/workspace/skills/db-schema-gen/SKILL.md</location>\n <version>sha256:c511ce8bb306f227</version>\n </skill>\n <skill>\n <name>deep-research-pro</name>\n <description>Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.</description>\n <location>~/.openclaw/workspace/skills/deep-research-pro/SKILL.md</location>\n <version>sha256:a780f8bbec442198</version>\n </skill>\n <skill>\n <name>diagram-maker</name>\n <description>Create SVG/HTML or Excalidraw diagrams for concepts, architecture, flows, and whiteboards.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/diagram-maker/SKILL.md</location>\n <version>sha256:6195e03fcb04a1a6</version>\n </skill>\n <skill>\n <name>dingtalk-channel-rules</name>\n <description>钉钉会话输出规则。在钉钉会话中始终生效。</description>\n <location>~/.openclaw/plugin-skills/dingtalk-channel-rules/SKILL.md</location>\n <version>sha256:4abd7ff39fd8ab23</version>\n </skill>\n <skill>\n <name>dingtalk-troubleshoot</name>\n <description>钉钉连接器问题排查。包含 dws CLI 常见错误处理、授权问题排查和连接故障诊断。\n当 dws 命令执行失败、授权异常、连接中断时自动激活。</description>\n <location>~/.openclaw/plugin-skills/dingtalk-troubleshoot/SKILL.md</location>\n <version>sha256:831e1260e77bcf9b</version>\n </skill>\n <skill>\n <name>docker-essentials</name>\n <description>Essential Docker commands and workflows for container management, image operations, and debugging.</description>\n <location>~/.openclaw/workspace/skills/docker-essentials/SKILL.md</location>\n <version>sha256:bf8120febd5275b0</version>\n </skill>\n <skill>\n <name>dws</name>\n <description>管理钉钉产品能力(AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/开放平台文档/钉钉文档/钉钉云盘/AI听记/邮箱/在线电子表格/知识库等)。当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报（钉钉日志模版）、读写钉钉文档、上传下载云盘文件、查询听记纪要、收发邮件、读写在线电子表格(axls)、管理钉钉知识库时使用。</description>\n <location>~/.openclaw/skills/dws/SKILL.md</location>\n <version>sha256:25f131a2e41eeeca</version>\n </skill>\n <skill>\n <name>dws-cli</name>\n <description>在钉钉会话中通过 dws CLI 管理钉钉产品能力（AI表格/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/工作台等）。\n当用户需要操作表格数据、管理日程会议、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报时使用。</description>\n <location>~/.openclaw/plugin-skills/dws-cli/SKILL.md</location>\n <version>sha256:e1e0cb89e56c9a8d</version>\n </skill>\n <skill>\n <name>healthcheck</name>\n <description>Audit/harden OpenClaw hosts: SSH, firewall, updates, exposure, backups, disk encryption, gateway security.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/healthcheck/SKILL.md</location>\n <version>sha256:518ec6e0482cf1c7</version>\n </skill>\n <skill>\n <name>humanizer</name>\n <description>Remove signs of AI-generated writing from text. Use when editing or reviewing\ntext to make it sound more natural and human-written. Based on Wikipedia's\ncomprehensive "Signs of AI writing" guide. Detects and fixes patterns including:\ninflated symbolism, promotional language, superficial -ing analyses, vague\nattributions, em dash overuse, rule of three, AI vocabulary words, negative\nparallelisms, and excessive conjunctive phrases.</description>\n <location>~/.openclaw/workspace/skills/humanizer/SKILL.md</location>\n <version>sha256:d7ce483d368e4301</version>\n </skill>\n <skill>\n <name>imap-smtp-email</name>\n <description>Read and send email via IMAP/SMTP. Check for new/unread messages, fetch content, search mailboxes, mark as read/unread, and send emails with attachments. Supports multiple accounts. Works with any IMAP/SMTP server including Gmail, Outlook, 163.com, vip.163.com, 126.com, vip.126.com, 188.com, and vip.188.com.</description>\n <location>~/.openclaw/workspace/skills/imap-smtp-email/SKILL.md</location>\n <version>sha256:01345a894f2863a4</version>\n </skill>\n <skill>\n <name>meme-maker</name>\n <description>Search meme templates, suggest formats, and generate local or hosted image memes.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/meme-maker/SKILL.md</location>\n <version>sha256:8b8832f9f0f58b16</version>\n </skill>\n <skill>\n <name>multi-search-engine</name>\n <description>Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required.</description>\n <location>~/.openclaw/workspace/skills/multi-search-engine/SKILL.md</location>\n <version>sha256:ef2d2706e82ad0fc</version>\n </skill>\n <skill>\n <name>MySQL</name>\n <description>Write correct MySQL queries with proper character sets, indexing, transactions, and production patterns.</description>\n <location>~/.openclaw/workspace/skills/MySQL/SKILL.md</location>\n <version>sha256:97003e1d9502f459</version>\n </skill>\n <skill>\n <name>news-summary</name>\n <description>This skill should be used when the user asks for news updates, daily briefings, or what's happening in the world. Fetches news from trusted international RSS feeds and can create voice summaries.</description>\n <location>~/.openclaw/workspace/skills/news-summary/SKILL.md</location>\n <version>sha256:1b4c45b56f567567</version>\n </skill>\n <skill>\n <name>node-connect</name>\n <description>Diagnose OpenClaw Android, iOS, or macOS node pairing, QR/setup code, route, auth, and connection failures.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-connect/SKILL.md</location>\n <version>sha256:cc39026fd84e5cfa</version>\n </skill>\n <skill>\n <name>node-inspect-debugger</name>\n <description>Debug Node.js with node inspect, --inspect, breakpoints, CDP, heap, and CPU profiles.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/node-inspect-debugger/SKILL.md</location>\n <version>sha256:50d2f6828eaf4bbf</version>\n </skill>\n <skill>\n <name>obsidian-official-cli</name>\n <description>Work with Obsidian vaults using the official Obsidian CLI (v1.12+). Open, search, create, move, and manage notes from the terminal. Use when working with Obsidian vaults for note management, file operations, searching content, managing tasks, properties, links, plugins, themes, sync operations, or any command-line interaction with Obsidian.</description>\n <location>~/.openclaw/workspace/skills/obsidian-official-cli/SKILL.md</location>\n <version>sha256:d9c66873957818a1</version>\n </skill>\n <skill>\n <name>opencode-controller</name>\n <description>Control and operate Opencode via slash commands. Use this skill to manage sessions, select models, switch agents (plan/build), and coordinate coding through Opencode.</description>\n <location>~/.openclaw/workspace/skills/opencode-controller/SKILL.md</location>\n <version>sha256:6535df08ba8b0bbc</version>\n </skill>\n <skill>\n <name>openspec</name>\n <description>Spec-driven development with OpenSpec CLI. Use when building features, migrations, refactors, or any structured development work. Manages proposal → specs → design → tasks → implementation workflows. Supports custom schemas (TDD, rapid, etc.). Trigger on requests involving feature planning, spec writing, change management, or when /opsx commands are mentioned.</description>\n <location>~/.openclaw/workspace/skills/openspec/SKILL.md</location>\n <version>sha256:720f832d1879e281</version>\n </skill>\n <skill>\n <name>python-debugpy</name>\n <description>Debug Python with pdb, breakpoint(), post-mortem inspection, and debugpy remote attach.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/python-debugpy/SKILL.md</location>\n <version>sha256:bfb1891204b67260</version>\n </skill>\n <skill>\n <name>qiushi-openclaw-skills</name>\n <description>求是 OpenClaw Skills 是基于毛泽东思想方法论的 AI Agent 技能集合，按照 OpenClaw 技能格式进行改造，旨在为 AI 提供系统化的思考和行动框架。</description>\n <location>~/.openclaw/workspace/skills/qiushi-openclaw-skill/SKILL.md</location>\n <version>sha256:b21d933b7f61584d</version>\n </skill>\n <skill>\n <name>requirements-analyst</name>\n <description>将产品需求转化为前后端可执行的技术规范，输出离线性优先的结构化文档。当用户提出产品需求、PRD、功能描述或模糊想法时自动触发。</description>\n <location>~/.openclaw/workspace/skills/requirements-analyst/SKILL.md</location>\n <version>sha256:f766e6b7b585e7e8</version>\n </skill>\n <skill>\n <name>rss-ai-reader</name>\n <description>📰 RSS AI 阅读器 — 自动抓取订阅、LLM生成摘要、多渠道推送！\n支持 Claude/OpenAI 生成中文摘要，推送到飞书/Telegram/Email。\n触发条件: 用户要求订阅RSS、监控博客、抓取新闻、生成摘要、设置定时抓取、\n"帮我订阅"、"监控这个网站"、"每天推送新闻"、RSS/Atom feed 相关。</description>\n <location>~/.openclaw/workspace/skills/rss-ai-reader/SKILL.md</location>\n <version>sha256:0abcc8438f644cdb</version>\n </skill>\n <skill>\n <name>skill-creator</name>\n <description>Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/skill-creator/SKILL.md</location>\n <version>sha256:d15b25d332d835eb</version>\n </skill>\n <skill>\n <name>spike</name>\n <description>Run throwaway prototypes to validate feasibility, compare approaches, and report a verdict.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/spike/SKILL.md</location>\n <version>sha256:1258cde2d0e53267</version>\n </skill>\n <skill>\n <name>Spreadsheet & Data Wrangling Master</name>\n <description>Complete spreadsheet methodology — data cleanup, transformation, analysis, dashboards, automation, and reporting. Works with CSV, Excel, Google Sheets, or any tabular data. Use when the user needs to clean messy data, build reports, create dashboards, automate recurring spreadsheet tasks, or transform data between formats.</description>\n <location>~/.openclaw/workspace/skills/afrexai-spreadsheet-master/SKILL.md</location>\n <version>sha256:6505a92ae50c1cdd</version>\n </skill>\n <skill>\n <name>sql-toolkit</name>\n <description>Query, design, migrate, and optimize SQL databases. Use when working with SQLite, PostgreSQL, or MySQL — schema design, writing queries, creating migrations, indexing, backup/restore, and debugging slow queries. No ORMs required.</description>\n <location>~/.openclaw/workspace/skills/sql-toolkit/SKILL.md</location>\n <version>sha256:515ecf904449a3cd</version>\n </skill>\n <skill>\n <name>taskflow</name>\n <description>Coordinate multi-step detached tasks as one durable TaskFlow job with owner context, state, waits, and child tasks.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow/SKILL.md</location>\n <version>sha256:d8b6a48d329aef0a</version>\n </skill>\n <skill>\n <name>taskflow-inbox-triage</name>\n <description>Example TaskFlow pattern for inbox triage, intent routing, waiting on replies, and later summaries.</description>\n <location>~/.nvm/versions/node/v25.9.0/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md</location>\n <version>sha256:1fe28cd924d8ae2d</version>\n </skill>\n <skill>\n <name>using-superpowers</name>\n <description>Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions</description>\n <location>~/.openclaw/workspace/skills/using-superpowers/SKILL.md</location>\n <version>sha256:81d921b16502091f</version>\n </skill>\n <skill>\n <name>weather</name>\n <description>Get current weather and forecasts (no API key required).</description>\n <location>~/.openclaw/workspace/skills/weather/SKILL.md</location>\n <version>sha256:1ca0c8d768ad603e</version>\n </skill>\n <skill>\n <name>web-search</name>\n <description>This skill should be used when users need to search the web for information, find current content, look up news articles, search for images, or find videos. 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{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","source":"runtime","type":"context.compiled","ts":"2026-07-15T10:10:52.432Z","seq":3,"sourceSeq":122,"sessionId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","sessionKey":"agent:main:dashboard:2fdf88e4-fa3f-46c2-b547-384e2c048b11","runId":"99542ad6-55bf-4549-ac35-6ab6d8d2c191","workspaceDir":"/home/yangxuan/.openclaw/workspace","provider":"deepseek","modelId":"deepseek-v4-flash","modelApi":"openai-completions","data":{"systemPrompt":{"truncated":true,"reason":"trajectory-field-size-limit","originalChars":39560,"limitChars":32768},"prompt":"保存今日记忆 明天还要用","messages":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate \n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","timestamp":1784109538113,"idempotencyKey":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"},{"role":"user","content":"保留原时分秒，只改日期部分\nUPDATE dmp_spom.dmp_mrp_main_plan_task SET plan_start_time='2026-07-07 11:03:04',create_time='2026-07-07 10:58:04',update_time='2026-07-07 11:03:04' WHERE ecid='kanda' AND plan_no='PLAN2026071414255193535522';\n-- 物料计划主表\n-- 批量更新 dmp_spom.dmp_mrp_main_plan_task 的 create_time update_time中的日期部分为 对应的plan_start_time","timestamp":1784109596434,"idempotencyKey":"7c28a842-8a9f-4cc4-9094-1298d4ce1a5c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**物料计划主表 `dmp_mrp_main_plan_task`**，要把 `create_time` 和 `update_time` 的日期部分改为对应的 `plan_start_time`，保留原时分秒。\n\n## 更新脚本\n\n```sql\nUPDATE dmp_spom.dmp_mrp_main_plan_task\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'kanda';\n```\n\n范围条件？我看你前面说的是\"计划开始时间是7月份的数据\"，但 `plan_start_time` 看样例已经是 7 月份。你对范围有要求吗？比如：\n\n```sql\n-- 如果只要 plan_start_time 在7月份的数据\nAND plan_start_time >= '2026-07-01' AND plan_start_time < '2026-08-01'\n\n-- 或者只要 plan_start_time 日期和 create_time 日期不一致的（避免无意义更新）\nAND DATE(plan_start_time) != DATE(create_time)\n```\n\n需要加范围条件吗？还是直接全量更新 `ecid = 'kanda'` 的所有记录？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":1021,"output":340,"cacheRead":26880,"cacheWrite":0,"totalTokens":28241,"cost":{"input":0.001021,"output":0.0006799999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0017009999999999998}},"stopReason":"stop","timestamp":1784109597165,"responseId":"3546056a-f6d1-4805-b0d2-e4d5739d2293"},{"role":"user","content":"采购订单\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37' where ecid = 'hsjm' and order_no ='PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 16:10:47', update_time ='2026-01-12 16:10:47' where ecid = 'hsjm' and order_no ='PO2026000002';\n把 时间等于下单时间。\n-- 采购订单\n-- 批量更新 dmp_serp.dmp_mc_purchase_order 的 create_time update_time中的日期部分为 对应的order_date\n\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\n把 时间等于下单时间。\n\n-- 采购明细表\n-- 批量更新 dmp_serp.dmp_mc_purchase_order_detail 的 create_time update_time中的日期部分为 对应的order_date","timestamp":1784109736511,"idempotencyKey":"dea79fe3-9e82-4fcc-932b-78fe7ffb7ea2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，两个表一起处理，都是**采购订单**相关，用 `order_date` 作为日期源。\n\n## 采购订单主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购订单明细表\n\n明细表需要通过 `order_no` 和 `ecid` 关联主表获取 `order_date`：\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order_detail pd\nJOIN dmp_serp.dmp_mc_purchase_order po \n ON pd.ecid = po.ecid AND pd.order_no = po.order_no\nSET \n pd.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pd.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE pd.ecid = 'hsjm';\n```\n\n同样你提到的 **plan_arrival_date**——明细表里也有这个字段，看你样例里也在改它。但你的需求描述里只提了 `create_time` 和 `update_time`，`plan_arrival_date` 是否需要基于主表的 `plan_arrival_date` 同步更新？如果需要，可以加上：\n\n```sql\n-- 在明细表的 SET 中加上 plan_arrival_date 同步\n pd.plan_arrival_date = po.plan_arrival_date,\n```\n\n---\n\n汇总一下你到目前为止的更新清单：\n\n| 序号 | 表 | 日期源字段 |\n|------|-----|-----------|\n| 1 | `dmp_serp.dmp_om_order` | `om_orderdate` |\n| 2 | `dmp_serp.dmp_om_productinfo` | 关联主表 `om_orderdate` |\n| 3 | `dmp_spom.dmp_mrp_main_plan_task` | `plan_start_time` |\n| 4 | `dmp_serp.dmp_mc_purchase_order` | `order_date` |\n| 5 | `dmp_serp.dmp_mc_purchase_order_detail` | 关联主表 `order_date` |\n\n还有其他表要处理吗？一次性都帮你搞定 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":537,"output":666,"cacheRead":28160,"cacheWrite":0,"totalTokens":29363,"cost":{"input":0.0005369999999999999,"output":0.0013319999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0018689999999999998}},"stopReason":"stop","timestamp":1784109737239,"responseId":"4b7762d3-e202-4784-90ea-1934b8437ee9"},{"role":"user","content":"采购到货\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 14:59:11', update_time = '2026-01-22 14:59:11' where ecid = 'hsjm' and arrival_no = 'PAD2026000001';\n\n\n把 时间等于送货时间。\n-- 采购到货主表\n\n\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\n\n把 时间等于送货时间。\n-- 采购到货明细","timestamp":1784109773108,"idempotencyKey":"c1f0893e-59e7-4e66-8ebf-c96466a88991:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `ship_date`（送货时间/发货时间）。\n\n## 采购到货主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购到货明细表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival_detail ad\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON ad.ecid = a.ecid AND ad.arrival_no = a.arrival_no\nSET \n ad.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n ad.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ad.ecid = 'hsjm';\n```\n\n不过我看你的例子里，`ship_date` 和 `arrival_date` 都是 `'2026-01-22'`（同一天）。你说\"时间等于**送货时间**\"，那就是用 `ship_date` 作为日期源，没错吧？还是说你想用 `arrival_date`（到货时间）？\n\n---\n\n## 📋 完整更新清单（截至目前）\n\n| 序号 | 表 | 数据库 | 日期源字段 | 关联方式 |\n|------|-----|--------|-----------|---------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 直接更新 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate` | JOIN 主表 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 直接更新 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 直接更新 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date` | JOIN 主表 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 直接更新 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date` | JOIN 主表 |\n\n还继续有吗？一次性整完 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":427,"output":719,"cacheRead":29312,"cacheWrite":0,"totalTokens":30458,"cost":{"input":0.00042699999999999997,"output":0.001438,"cacheRead":0,"cacheWrite":0,"total":0.001865}},"stopReason":"stop","timestamp":1784109773806,"responseId":"8409c206-8436-4c31-93df-a6c9c78ea7a5"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验","timestamp":1784109808938,"idempotencyKey":"4b7a78ce-766c-439b-8784-ec9eef3f92ac:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**来料检验表**，需要关联**采购到货单**获取 `ship_date`。\n\n关联关系：`qc_task_inspect` 通过某个字段关联到采购到货单？我先看看常见关联方式——通常来料检验单会记录 `arrival_no`（到货单号）和 `ecid`。\n\n如果 `qc_task_inspect` 里有 `arrival_no` 字段，关联到 `dmp_mc_purchase_arrival`：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect qi\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON qi.ecid = a.ecid AND qi.arrival_no = a.arrival_no\nSET \n qi.insp_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.insp_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE qi.ecid = 'hsjm';\n```\n\n不过我需要确认一下——`qc_task_inspect` 里**关联采购到货单的字段名是什么**？常见的有：\n- `arrival_no` — 到货单号\n- `src_bill_no` — 来源单据号\n\n你能看看表结构确认一下关联字段吗？或者直接告诉我 `qc_task_inspect` 里哪个字段存的是到货单号就行。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":317,"output":444,"cacheRead":30336,"cacheWrite":0,"totalTokens":31097,"cost":{"input":0.000317,"output":0.000888,"cacheRead":0,"cacheWrite":0,"total":0.001205}},"stopReason":"stop","timestamp":1784109809545,"responseId":"a97cc980-d1b1-4640-9631-1a5bc07b2155"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验 只有主表","timestamp":1784109834801,"idempotencyKey":"1b1a78a5-b104-491c-8c1a-3388b55520a1:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"只有主表，没有关联明细。那 `qc_task_inspect` 直接用某个字段关联到采购到货单获取 `ship_date`。我需要先看看这个表里有什么关联字段。\n\n让我查一下表结构："},{"type":"toolCall","id":"call00zNFXflO9uvHF88gvemNV1946","name":"exec","arguments":{"command":"mysql -u root -p'YourPassword' -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null || echo \"NEED_PASSWORD\""},"partialArgs":"{\"command\": \"mysql -u root -p'YourPassword' -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null || echo \\\"NEED_PASSWORD\\\"\"}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":320,"output":127,"cacheRead":30976,"cacheWrite":0,"totalTokens":31423,"cost":{"input":0.00031999999999999997,"output":0.000254,"cacheRead":0,"cacheWrite":0,"total":0.000574}},"stopReason":"toolUse","timestamp":1784109835616,"responseId":"6d7b9ef4-7af8-4b71-a201-06dba58c46a8"},{"role":"toolResult","toolCallId":"call00zNFXflO9uvHF88gvemNV1946","toolName":"exec","content":[{"type":"text","text":"NEED_PASSWORD"}],"isError":false,"timestamp":1784109838817},{"role":"assistant","content":[{"type":"toolCall","id":"call00PIuYMg0px60fCGWCIhay2037","name":"exec","arguments":{"command":"mysql -u root -p -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null | head -50","timeout":10},"partialArgs":"{\"command\": \"mysql -u root -p -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null | head -50\", \"timeout\": 10}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":79,"output":90,"cacheRead":31360,"cacheWrite":0,"totalTokens":31529,"cost":{"input":0.000079,"output":0.00017999999999999998,"cacheRead":0,"cacheWrite":0,"total":0.000259}},"stopReason":"toolUse","timestamp":1784109838831,"responseId":"1ac67ea0-15ab-4d4d-8d1a-bec64bd8a1be"},{"role":"toolResult","toolCallId":"call00PIuYMg0px60fCGWCIhay2037","toolName":"exec","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1784109840424},{"role":"assistant","content":[{"type":"text","text":"没有直连数据库的权限，没关系。你看看 `qc_task_inspect` 表里有什么字段可以用来关联到采购到货单？比如：\n\n- `arrival_no`（到货单号）\n- `src_bill_no` / `source_no`（来源单号）\n- `order_no`（采购订单号）\n- 或者其它什么字段？\n\n你告诉我关联字段名，我就能直接写出完整的 SQL 了。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":55,"output":92,"cacheRead":31488,"cacheWrite":0,"totalTokens":31635,"cost":{"input":0.000054999999999999995,"output":0.000184,"cacheRead":0,"cacheWrite":0,"total":0.000239}},"stopReason":"stop","timestamp":1784109840437,"responseId":"e2a7cf1e-c246-4d51-b8a5-498bd181dfce"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验\n-- 批量更新 dmp_smes.qc_task_inspect 的 create_time update_time中的日期部分为 对应insp_time","timestamp":1784109869504,"idempotencyKey":"31a50ea4-daa6-44a6-b525-6e085ebd2335:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"啊，看明白了！你的意思是 **直接用 `insp_time` 作为日期源**，不需要关联到货单：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单汇总\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|--------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 否 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（关联主表） | 是 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 否 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 否 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（关联主表） | 是 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 否 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（关联主表） | 是 |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | 否 |\n\n还有要处理的表吗？一起搞定 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":242,"output":471,"cacheRead":31616,"cacheWrite":0,"totalTokens":32329,"cost":{"input":0.000242,"output":0.0009419999999999999,"cacheRead":0,"cacheWrite":0,"total":0.001184}},"stopReason":"stop","timestamp":1784109870180,"responseId":"0bddd8b3-54ef-4280-b497-c5f6e7c4c117"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in set bill_date='2026-01-23',completed_at='2026-01-24 10:33:27', create_time='2026-01-23 09:56:17',update_time='2026-01-24 10:33:27' where stock_in_no='PE2026000002' and ecid ='hsjm';\n把时间等于最后入库时间。\n-- 采购入库主表\n-- 批量更新 dmp_serp.dmp_im_stock_in 的 create_time update_time中的日期部分为 对应的completed_at","timestamp":1784109898245,"idempotencyKey":"19ea56c9-af6f-4a6e-8331-4c25e67fc817:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `completed_at`（最后入库时间）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（9个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|:----:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n\n还继续有吗？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":229,"output":499,"cacheRead":32256,"cacheWrite":0,"totalTokens":32984,"cost":{"input":0.00022899999999999998,"output":0.000998,"cacheRead":0,"cacheWrite":0,"total":0.001227}},"stopReason":"stop","timestamp":1784109898887,"responseId":"4df6ab45-0f41-4730-9b14-34965a8d2fc5"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in_out_flow_detail set stock_date='2026-01-24',bill_date='2026-01-23',update_time='2026-01-24 09:12:43',create_time='2026-01-23 09:46:37' where flow_no='SIO20260410000001' and ecid ='hsjm';\n\n把时间等于最后入库时间。\n-- 采购出入库记录\n-- 批量更新 dmp_serp.dmp_im_stock_in_out_flow_detail 的 create_time update_time中的日期部分为 对应的stock_date","timestamp":1784109928282,"idempotencyKey":"fc11b4ae-ecb7-44e7-b501-01b59e37bf0c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `stock_date`：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in_out_flow_detail\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（10个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n\n还有吗？一次全整完，然后我给你生成一个**完整的 SQL 脚本文件**，方便你一次性执行 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":247,"output":551,"cacheRead":32896,"cacheWrite":0,"totalTokens":33694,"cost":{"input":0.000247,"output":0.001102,"cacheRead":0,"cacheWrite":0,"total":0.001349}},"stopReason":"stop","timestamp":1784109928948,"responseId":"530e1437-c5c6-4d13-9bd9-ceb4ee9ee99d"},{"role":"user","content":"update dmp_serp.dmp_im_stock_out set bill_date='2026-01-10',delivery_at='2026-01-25 10:26:19', create_time='2026-01-10 11:03:04', update_time='2026-01-25 10:26:19' where stock_out_no='PD2026000127' and ecid='hsjm';\n把时间等于单据日期。\n-- 生产领料单\n-- 批量更新 dmp_serp.dmp_im_stock_out 的 create_time update_time中的日期部分为 对应的bill_date","timestamp":1784109964929,"idempotencyKey":"cce96fb1-3bfc-4883-adaf-9111e6c44dd2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `bill_date`（单据日期）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_out\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（11个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n\n继续还是可以帮你生成完整脚本了？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":185,"output":566,"cacheRead":33664,"cacheWrite":0,"totalTokens":34415,"cost":{"input":0.000185,"output":0.001132,"cacheRead":0,"cacheWrite":0,"total":0.001317}},"stopReason":"stop","timestamp":1784109965649,"responseId":"46255802-137d-4009-afcd-6da8548f271b"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in_out_flow_detail set stock_date='2026-04-05',bill_date='2026-03-21',update_time='2026-04-05 14:07:09',create_time='2026-03-21 12:11:27' where flow_no='SIO20260410000236' and ecid ='hsjm';\n把时间等于单据日期。\n-- -领料出库记录\n-- 批量更新 dmp_serp.dmp_im_stock_in_out_flow_detail 的 create_time update_time中的日期部分为 对应的stock_date","timestamp":1784109993896,"idempotencyKey":"90f480c3-711d-4afa-8813-526c1cba7146:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"这个表之前已经处理过了（序号10），但之前的日期源是 `stock_date`（你说\"时间等于最后入库时间\"），现在这个你说\"时间等于单据日期\"。\n\n那我看看——同一个表 `dmp_im_stock_in_out_flow_detail`，之前是入库记录用 `stock_date`，现在是出库记录也用 `stock_date`，其实是一样的对吧？\n\n那我保持之前的脚本不变（用 `stock_date` 作为日期源），它已经覆盖了这个表的所有 `ecid = 'hsjm'` 记录：\n\n```sql\n-- 已在序号10中覆盖，无需重复\n```\n\n不过如果你想**区分入库和出库**来用不同的日期源，那就需要告诉我用什么字段来区分（比如单据类型字段）。\n\n还是说这个表统一用 `stock_date` 就行了？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":270,"output":172,"cacheRead":34304,"cacheWrite":0,"totalTokens":34746,"cost":{"input":0.00027,"output":0.00034399999999999996,"cacheRead":0,"cacheWrite":0,"total":0.000614}},"stopReason":"stop","timestamp":1784109994584,"responseId":"0e44ed7f-eb7e-4ba0-a1c8-3045b209ec87"},{"role":"user","content":"UPDATE dmp_smes.dmp_me_work_operate_record_detail SET stock_in_date ='2026-02-07',report_date ='2026-02-06 14:06:18',create_time ='2026-02-06 14:06:18',update_time='2026-02-06 14:06:18' WHERE batch_no='MSN00000919' AND ecid ='hsjm';\n\n把时间等于报工日期。\n-- 生产报工记录\n-- 批量更新 dmp_smes.dmp_me_work_operate_record_detail 的 create_time update_time中的日期部分为 对应的report_date","timestamp":1784110030260,"idempotencyKey":"18cd925e-1adf-452f-a337-09bcf00c489c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `report_date`（报工日期）：\n\n```sql\nUPDATE dmp_smes.dmp_me_work_operate_record_detail\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(report_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(report_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（12个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n| 12 | `dmp_me_work_operate_record_detail` | `dmp_smes` | `report_date` | ❌ |\n\n还有吗？差不多了吧，要不要我帮你生成一个**完整的 SQL 脚本文件**？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":223,"output":613,"cacheRead":34688,"cacheWrite":0,"totalTokens":35524,"cost":{"input":0.000223,"output":0.0012259999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0014489999999999998}},"stopReason":"stop","timestamp":1784110031005,"responseId":"05098369-82e0-49aa-8fb8-ace75f94ba2c"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in set bill_date='2026-02-06',completed_at='2026-02-07 11:13:38', create_time='2026-02-06 14:06:18',update_time='2026-02-07 11:13:38' where stock_in_no='PI2604100002' and ecid ='hsjm';\n\n把时间等于单据日期。\n-- 生产入库单\n-- 批量更新 dmp_serp.dmp_im_stock_in 的 create_time update_time中的日期部分为 对应的bill_date","timestamp":1784110061318,"idempotencyKey":"b2248248-f715-42f6-9b39-d10f30b2d7c2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"之前序号9用的 `completed_at`，现在改成用 `bill_date`。以你最新的要求为准，更新脚本：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 最终更新清单（12个表，已按最新要求修正）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `bill_date` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n| 12 | `dmp_me_work_operate_record_detail` | `dmp_smes` | `report_date` | ❌ |\n\n还要继续加表吗？还是我帮你把这 12 条 SQL 生成一个完整的脚本文件，方便你一键执行？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":222,"output":636,"cacheRead":35456,"cacheWrite":0,"totalTokens":36314,"cost":{"input":0.000222,"output":0.001272,"cacheRead":0,"cacheWrite":0,"total":0.0014939999999999999}},"stopReason":"stop","timestamp":1784110062026,"responseId":"44204c2c-90d6-418f-8e5c-1a5559d966fc"},{"role":"user","content":"update dmp_serp.dmp_om_deliver_order set create_time ='2026-02-08 16:17:09',update_time ='2026-02-08 16:17:09',om_deliverdate ='2026-02-08' where ecid ='hsjm' and om_deliverorder ='FHO2026000003';\n把时间等于要求发货日期。\n-- 销售发货单\n-- 批量更新 dmp_serp.dmp_om_deliver_order 的 create_time update_time中的日期部分为 对应的om_deliverdate\n\nupdate dmp_serp.dmp_om_deliver_productinfo set create_time ='2026-02-08 10:00:40',update_time ='2026-02-08 10:00:40' where ecid ='hsjm' and om_deliverorder ='FHO2026000002';\nupdate dmp_serp.dmp_om_deliver_productinfo set create_time ='2026-02-08 16:17:09',update_time ='2026-02-08 16:17:09' where ecid ='hsjm' and om_deliverorder ='FHO2026000003';\n把时间等于要求发货日期。\n-- 发货单明细\n-- 批量更新 dmp_serp.dmp_om_deliver_productinfo 的 create_time update_time中的日期部分为 对应的om_deliverdate\n-- 根据 dmp_serp.dmp_om_deliver_productinfo.om_deliverorder ecid 关联 dmp_serp.dmp_om_deliver_order.om_deliverorder ecid","timestamp":1784110153457,"idempotencyKey":"a1c56d85-1317-4a95-a5c0-0219f9d08e80:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"好，两个表一起处理。\n\n## 销售发货单主表\n\n```sql\nUPDATE dmp_serp.dmp_om_deliver_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_deliverdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_deliverdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 发货单明细表\n\n```sql\nUPDATE dmp_serp.dmp_om_deliver_productinfo dpi\nJOIN dmp_serp.dmp_om_deliver_order d\n ON dpi.ecid = d.ecid AND dpi.om_deliverorder = d.om_deliverorder\nSET \n dpi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(d.om_deliverdate, '%Y-%m-%d'), ' ', DATE_FORMAT(dpi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n dpi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(d.om_deliverdate, '%Y-%m-%d'), ' ', DATE_FORMAT(dpi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE dpi.ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（14个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `bill_date` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n| 12 | `dmp_me_work_operate_record_detail` | `dmp_smes` | `report_date` | ❌ |\n| 13 | `dmp_om_deliver_order` | `dmp_serp` | `om_deliverdate` | ❌ |\n| 14 | `dmp_om_deliver_productinfo` | `dmp_serp` | `om_deliverdate`（JOIN 主表） | ✅ |\n\n还要继续吗？差不多了的话我帮你生成完整 SQL 脚本文件？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":488,"output":908,"cacheRead":36224,"cacheWrite":0,"totalTokens":37620,"cost":{"input":0.000488,"output":0.001816,"cacheRead":0,"cacheWrite":0,"total":0.002304}},"stopReason":"stop","timestamp":1784110154228,"responseId":"cc8fab7c-7b8b-43d3-a996-67bab9d75632"},{"role":"user","content":"UPDATE `dmp_smes`.`dmp_me_produce_pick` SET document_date = '2026-01-10 00:00:00',maintain_time = '2026-01-25 10:26:19' WHERE ecid = 'hsjm' and stock_out_apply_no = 'PD2026000127';\n把时间等于要求单据日期。\n-- 领料单\n-- 批量更新 dmp_smes.dmp_me_produce_pick 的 create_time update_time中的日期部分为 对应的document_date","timestamp":1784110215840,"idempotencyKey":"c7b37ba9-edd3-4966-9b52-0686f1e8ffdd:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"```sql\nUPDATE dmp_smes.dmp_me_produce_pick\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(document_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(document_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（15个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `bill_date` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n| 12 | `dmp_me_work_operate_record_detail` | `dmp_smes` | `report_date` | ❌ |\n| 13 | `dmp_om_deliver_order` | `dmp_serp` | `om_deliverdate` | ❌ |\n| 14 | `dmp_om_deliver_productinfo` | `dmp_serp` | `om_deliverdate`（JOIN 主表） | ✅ |\n| 15 | `dmp_me_produce_pick` | `dmp_smes` | `document_date` | ❌ |\n\n还要继续吗？还是生成完整脚本了？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":254,"output":691,"cacheRead":37504,"cacheWrite":0,"totalTokens":38449,"cost":{"input":0.000254,"output":0.001382,"cacheRead":0,"cacheWrite":0,"total":0.0016359999999999999}},"stopReason":"stop","timestamp":1784110216586,"responseId":"95f93789-0afe-451d-82ea-0d969822d918"}],"tools":[{"name":"agents_list","description":"List agent ids allowed for `sessions_spawn runtime=\"subagent\"`.","parameters":{"type":"object","properties":{}}},{"name":"apply_patch","description":"Apply a patch to one or more files using the apply_patch format. The input should include *** Begin Patch and *** End Patch markers.","parameters":{"type":"object","required":["input"],"properties":{"input":{"type":"string","description":"Patch content using the *** Begin Patch/End Patch format."}}}},{"name":"create_goal","description":"Create a goal only when explicitly requested by the user or system instructions. Fails if a goal already exists; use user-facing goal controls to clear it.","parameters":{"type":"object","required":["objective"],"properties":{"objective":{"type":"string","description":"Concrete objective to pursue. Create only when explicitly requested."},"token_budget":{"type":"number","description":"Optional positive token budget for this goal."}}}},{"name":"cron","description":"Manage Gateway cron jobs and wake events: reminders, check-back-later, delayed follow-ups, recurring work. Do not emulate scheduling with exec sleep/process polling.\n\nMain cron => system events for heartbeat. Isolated cron => background task in `openclaw tasks`.\n\nACTIONS:\n- status: scheduler status\n- list: compact job summaries; includeDisabled true includes disabled; use get for full job details; agentId filter auto-filled from session\n- get: one job; needs jobId\n- add: create job; needs job object\n- update: patch job; needs jobId + patch\n- remove: delete job; needs jobId\n- run: run only if due by default; needs jobId; pass runMode=\"force\" to trigger now\n- runs: run history; needs jobId\n- wake: send wake event; needs text, optional mode; defaults the target to the calling session/agent. Pass top-level sessionKey/agentId to wake a different lane owned by the calling agent.\n\nJOB SCHEMA (for add action):\n{\n \"name\": \"string\",\n \"schedule\": { ... }, // required\n \"trigger\": { \"script\": \"...\", \"once\": false }, // optional condition gate for every/cron\n \"payload\": { ... }, // required\n \"delivery\": { ... }, // optional announce for isolated/current/session, webhook for any target\n \"sessionTarget\": \"main\" | \"isolated\" | \"current\" | \"session:<id>\",\n \"enabled\": true | false // default true\n}\n\nSESSION TARGET OPTIONS:\n- \"main\": main session; requires payload.kind=\"systemEvent\"\n- \"isolated\": ephemeral isolated session; requires payload.kind=\"agentTurn\"\n- \"current\": bind current session at creation\n- \"session:<id>\": persistent named session\n\nDEFAULTS:\n- payload.kind=\"systemEvent\" → defaults to \"main\"\n- payload.kind=\"agentTurn\" → defaults to \"isolated\"\nCurrent binding needs sessionTarget=\"current\".\n\nSCHEDULE TYPES (schedule.kind):\n- \"at\": one-shot absolute time\n { \"kind\": \"at\", \"at\": \"<ISO-8601 timestamp>\" }\n- \"every\": recurring interval\n { \"kind\": \"every\", \"everyMs\": <ms>, \"anchorMs\": <optional-ms> }\n- \"cron\": expr in supplied timezone, or Gateway host local timezone when tz omitted\n { \"kind\": \"cron\", \"expr\": \"<cron-expression>\", \"tz\": \"<optional-IANA-timezone>\" }\n Write expr in local wall-clock time; do not convert the requested local time to UTC first.\n tz omitted => Gateway host local timezone, not UTC.\n Example 6pm Shanghai daily: { \"kind\": \"cron\", \"expr\": \"0 18 * * *\", \"tz\": \"Asia/Shanghai\" }\n\nOptional trigger scripts poll headlessly on every/cron schedules and run the payload only when they return { fire: true }.\n\nFor \"at\", ISO timestamps without timezone are UTC.\n\nPAYLOAD TYPES (payload.kind):\n- \"systemEvent\": inject text as system event\n { \"kind\": \"systemEvent\", \"text\": \"<message>\" }\n- \"agentTurn\": run agent with prompt; isolated/current/session only\n { \"kind\": \"agentTurn\", \"message\": \"<prompt>\", \"model\": \"<optional>\", \"thinking\": \"<optional>\", \"timeoutSeconds\": <optional, 0=no timeout> }\n\nDELIVERY (top-level):\n { \"mode\": \"none|announce|webhook\", \"channel\": \"<optional>\", \"to\": \"<optional>\", \"threadId\": \"<optional>\", \"bestEffort\": <optional-bool> }\n - isolated agentTurn default when omitted: \"announce\"\n - announce: send to chat channel; isolated/current/session only; optional channel/to\n - threadId: chat thread/topic id\n - webhook: POST finished-run event to delivery.to URL\n - Specific chat/recipient: set announce delivery.channel/to; do not call messaging tools inside run.\n\nCRITICAL CONSTRAINTS:\n- sessionTarget=\"main\" REQUIRES payload.kind=\"systemEvent\"\n- sessionTarget=\"isolated\" | \"current\" | \"session:xxx\" REQUIRES payload.kind=\"agentTurn\"\n- Webhook: delivery.mode=\"webhook\" and delivery.to URL.\nDefault: prefer isolated agentTurn jobs unless the user explicitly wants current-session binding.\n\nRESTRICTED CRON RUNS:\n- Some isolated cron runs get narrow self-cleanup grant: status/list self-only, get/runs current job only, mutation only remove current job.\n\nWAKE MODES (for wake action):\n- \"next-heartbeat\" default: wake next heartbeat\n- \"now\": wake immediately\n\nUse jobId canonical; id accepted compat. contextMessages (0-10) adds previous messages as job context.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"includeDisabled":{"type":"boolean"},"job":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"additionalProperties":true},"jobId":{"type":"string"},"id":{"type":"string"},"patch":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"additionalProperties":true},"text":{"type":"string"},"mode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"runMode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Run mode for action=\"run\": omitted defaults to \"due\"; use \"force\" to trigger now."},"contextMessages":{"type":"integer","minimum":0,"maximum":10},"agentId":{"type":"string","description":"List filter for `action: \"list\"`; wake target override for `action: \"wake\"` (defaults to the calling agent when omitted on wake)"},"sessionKey":{"type":"string","description":"Wake target override for `action: \"wake\"`: route the event to another session owned by the calling agent. Defaults to the resolved calling-session key when omitted."}},"additionalProperties":true}},{"name":"edit","description":"Edit a single file using exact text replacement. Every edits[].oldText must match a unique, non-overlapping region of the original file. If two changes affect the same block or nearby lines, merge them into one edit instead of emitting overlapping edits. Do not include large unchanged regions just to connect distant changes.","parameters":{"type":"object","required":["path","edits"],"properties":{"path":{"type":"string","description":"Path to the file to edit (relative or absolute)"},"edits":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"One or more targeted replacements. Each edit is matched against the original file, not incrementally. Do not include overlapping or nested edits. If two changes touch the same block or nearby lines, merge them into one edit instead."}},"additionalProperties":false}},{"name":"exec","description":"Execute shell commands with background continuation for work that starts now. Use yieldMs/background to continue later via process tool. For long-running work started now, rely on automatic completion wake when it is enabled and the command emits output or fails; otherwise use process to confirm completion. Use process whenever you need logs, status, input, or intervention. Do not use exec sleep or delay loops for reminders or deferred follow-ups; use cron instead. Use pty=true for TTY-required commands (terminal UIs, coding agents).","parameters":{"type":"object","required":["command"],"properties":{"command":{"type":"string","description":"Shell command to execute"},"workdir":{"type":"string","description":"Working directory. Blank/whitespace values are invalid; omit to use the default cwd."},"env":{"type":"object","patternProperties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"yieldMs":{"type":"number","description":"Milliseconds to wait before backgrounding (default 10000)"},"background":{"type":"boolean","description":"Run in background immediately"},"timeout":{"type":"number","description":"Timeout in seconds (optional, kills process on expiry)"},"pty":{"type":"boolean","description":"Run in a pseudo-terminal (PTY) when available (TTY-required CLIs, coding agents)"},"elevated":{"type":"boolean","description":"Run on the host with elevated permissions (if allowed)"},"host":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Exec host/target (auto|sandbox|gateway|node)."},"security":{"type":"string","description":"Ignored for normal calls; exec security is set by tools.exec.security and host approvals."},"ask":{"type":"string","description":"Baseline ask comes from tools.exec.ask and host approvals; channel-origin calls ignore per-call ask when effective host ask is off."},"node":{"type":"string","description":"Node id/name for host=node."}}}},{"name":"gateway","description":"Gateway restart/config/update. Before config edits, use config.schema.lookup with targeted dot path. Prefer config.patch for partial merge; config.apply only full replace. For config.patch that intentionally removes array entries, pass replacePaths with the exact affected array path. Writes hot-reload or restart as needed. Always pass human `note` for post-restart delivery. If post-restart work must continue internally, pass one-shot `continuationMessage`; visible follow-up from that turn must use the message tool. Do not write restart sentinel files directly.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"delayMs":{"type":"integer","minimum":0},"reason":{"type":"string"},"continuationMessage":{"type":"string"},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"path":{"type":"string"},"raw":{"type":"string"},"baseHash":{"type":"string"},"replacePaths":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"maxItems":256},"sessionKey":{"type":"string"},"note":{"type":"string"},"restartDelayMs":{"type":"integer","minimum":0}}}},{"name":"get_goal","description":"Get the current goal for this thread, including status and token usage.","parameters":{"type":"object","properties":{}}},{"name":"image","description":"Analyze images with available vision model. Use image for one path/URL, images for max 20. Prompt says what to inspect.","parameters":{"type":"object","properties":{"prompt":{"type":"string"},"image":{"type":"string","description":"One image path/URL."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Image paths/URLs; maxImages default 20."},"model":{"type":"string"},"maxBytesMb":{"type":"number","exclusiveMinimum":0},"maxImages":{"type":"integer","minimum":1}}}},{"name":"image_generate","description":"Create/edit images. Session chats: background task; do not call image_generate again for same request; wait completion, then report through the current visible-reply contract with generated media attached using structured media fields. Transparent: outputFormat=\"png\" or \"webp\" + background=\"transparent\"; OpenAI also supports openai.background and routes default model to gpt-image-1.5. Use action=\"list\" for providers/models/readiness/auth, \"status\" for active task.","parameters":{"type":"object","properties":{"action":{"type":"string","description":"\"generate\" default, \"status\" active task, \"list\" providers/models."},"prompt":{"type":"string","description":"Image prompt."},"image":{"type":"string","description":"Reference image path/URL for edit."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference images for edit or style reference; max 14."},"model":{"type":"string","description":"Provider/model override, e.g. openai/gpt-image-2; transparent OpenAI: openai/gpt-image-1.5."},"filename":{"type":"string","description":"Output filename hint; basename preserved in managed media dir."},"size":{"type":"string","description":"Size hint: 1024x1024, 1536x1024, 1024x1536, 2048x2048, 3840x2160."},"aspectRatio":{"type":"string","description":"Aspect ratio: 1:1, 2:1, 20:9, 19.5:9, 2:3, 3:2, 2.35:1, 3:4, 4:3, 4:5, 5:4, 9:16, 9:19.5, 9:20, 16:9, 21:9, 1:2, 4:1, 1:4, 8:1, 1:8."},"resolution":{"type":"string","description":"Resolution: 1K, 2K, 4K; useful for Google."},"quality":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Quality: low, medium, high, auto."},"outputFormat":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Output format: png, jpeg, webp."},"background":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Background: transparent, opaque, auto. Transparent needs png/webp output."},"openai":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"fal":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"count":{"type":"integer","description":"Image count 1-4.","minimum":1,"maximum":4},"timeoutMs":{"type":"integer","description":"Provider timeout ms (300000 tends to be a safe amount).","minimum":1}}}},{"name":"memory_get","description":"Safe exact excerpt read from MEMORY.md or memory/*.md. Defaults to a bounded excerpt when lines are omitted, includes truncation/continuation info when more content exists, and `corpus=wiki` reads from registered compiled-wiki supplements.","parameters":{"type":"object","properties":{"path":{"type":"string"},"from":{"type":"integer","minimum":1},"lines":{"type":"integer","minimum":1},"corpus":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}},"required":["path"],"additionalProperties":false}},{"name":"memory_search","description":"Mandatory recall step: semantically search MEMORY.md + memory/*.md (and optional session transcripts) before answering questions about prior work, decisions, dates, people, preferences, or todos. Optional `corpus=wiki` or `corpus=all` also searches registered compiled-wiki supplements. `corpus=memory` restricts hits to indexed memory files (excludes session transcript chunks from ranking). `corpus=sessions` restricts hits to indexed session transcripts (same visibility rules as session history tools). If response has disabled=true, memory retrieval is unavailable and should be surfaced to the user.","parameters":{"type":"object","properties":{"query":{"type":"string"},"maxResults":{"type":"integer","minimum":1},"minScore":{"type":"number"},"corpus":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}},"required":["query"],"additionalProperties":false}},{"name":"message","description":"Send/delete/manage channel messages. Supports actions: send.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"channel":{"type":"string"},"target":{"type":"string","description":"Recipient/channel: E.164 for WhatsApp/Signal, Telegram chat id/@username, Discord/Slack/Mattermost <channelId|user:ID|channel:ID>, or iMessage handle/chat_id"},"targets":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"accountId":{"type":"string"},"dryRun":{"type":"boolean"},"message":{"type":"string"},"effectId":{"type":"string","description":"Effect id/name for sendWithEffect."},"effect":{"type":"string","description":"Alias for effectId."},"media":{"type":"string","description":"Media URL/path. data: use buffer."},"filename":{"type":"string"},"buffer":{"type":"string","description":"Base64 attachment payload; data URL ok."},"contentType":{"type":"string"},"mimeType":{"type":"string"},"caption":{"type":"string"},"attachments":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Structured attachments; each entry uses media."},"replyTo":{"type":"string"},"threadId":{"type":"string"},"asVoice":{"type":"boolean"},"silent":{"type":"boolean"},"quoteText":{"type":"string","description":"Telegram reply quote text."},"gifPlayback":{"type":"boolean"},"forceDocument":{"type":"boolean","description":"Send image/GIF/video as document; avoids compression."},"asDocument":{"type":"boolean","description":"Alias for forceDocument."},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1}}}},{"name":"node_inference","description":"Discover and run chat-capable Ollama models installed on paired desktop/server nodes. Use action=discover first, then action=run with a node and model from that result. Inference stays on the selected node.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"node":{"type":"string","description":"Connected node id or display name. Required when ambiguous."},"model":{"type":"string","description":"Exact local model name returned by discover."},"prompt":{"type":"string","description":"Prompt for action=run."},"system":{"type":"string","description":"Optional system prompt for action=run."},"temperature":{"type":"number","minimum":0,"maximum":2},"maxTokens":{"type":"integer","minimum":1,"maximum":8192},"timeoutMs":{"type":"integer","minimum":1,"maximum":600000}},"additionalProperties":false}},{"name":"nodes","description":"Discover/control paired nodes: status, describe, pairing, notify, camera/photos/screen/location/notifications/invoke. Use file_fetch for files.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"gatewayUrl":{"type":"string"},"timeoutMs":{"type":"integer","minimum":1},"node":{"type":"string"},"requestId":{"type":"string"},"title":{"type":"string"},"body":{"type":"string"},"sound":{"type":"string"},"priority":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"delivery":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"facing":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"camera_snap: front/back/both; camera_clip: front/back only."},"maxWidth":{"type":"integer","minimum":1},"quality":{"type":"number","minimum":0,"maximum":1},"delayMs":{"type":"integer","minimum":0},"deviceId":{"type":"string"},"limit":{"type":"integer","minimum":1,"maximum":20},"duration":{"type":"string"},"durationMs":{"type":"integer","minimum":1,"maximum":300000},"includeAudio":{"type":"boolean"},"fps":{"type":"number","exclusiveMinimum":0},"screenIndex":{"type":"integer","minimum":0},"outPath":{"type":"string"},"maxAgeMs":{"type":"integer","minimum":0},"locationTimeoutMs":{"type":"integer","minimum":1},"desiredAccuracy":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"notificationAction":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"notificationKey":{"type":"string"},"notificationReplyText":{"type":"string"},"invokeCommand":{"type":"string"},"invokeParamsJson":{"type":"string"},"invokeTimeoutMs":{"type":"integer","minimum":1}}}},{"name":"pdf","description":"Analyze PDFs with model. Anthropic/Google native PDF when supported; else text/image extraction. Use pdf for one, pdfs for max 10; prompt says what to inspect.","parameters":{"type":"object","properties":{"prompt":{"type":"string"},"pdf":{"type":"string","description":"One PDF path/URL."},"pdfs":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"PDF paths/URLs; max 10."},"pages":{"type":"string","description":"Pages, e.g. \"1-5\", \"1,3,5-7\"; default all."},"model":{"type":"string"},"maxBytesMb":{"type":"number","exclusiveMinimum":0}}}},{"name":"process","description":"Manage running exec sessions for commands already started: list, poll, log, write, send-keys, submit, paste, kill. Use poll/log when you need status, logs, quiet-success confirmation, or completion confirmation when automatic completion wake is unavailable. Use poll/log also for input-wait hints. Use write/send-keys/submit/paste/kill for input or intervention. Do not use process polling to emulate timers or reminders; use cron for scheduled follow-ups.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","description":"Process action (list|poll|log|write|send-keys|submit|paste|kill|clear|remove)"},"sessionId":{"type":"string","description":"Session id for actions other than list"},"data":{"type":"string","description":"Data to write for write"},"keys":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Key tokens to send for send-keys"},"hex":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Hex bytes to send for send-keys"},"literal":{"type":"string","description":"Literal string for send-keys"},"text":{"type":"string","description":"Text to paste for paste"},"bracketed":{"type":"boolean","description":"Wrap paste in bracketed mode"},"eof":{"type":"boolean","description":"Close stdin after write"},"offset":{"type":"number","description":"Log offset"},"limit":{"type":"number","description":"Log length"},"timeout":{"type":"number","description":"For poll: wait up to this many milliseconds before returning; max 30000 ms, higher values are clamped to 30000","minimum":0}}}},{"name":"read","description":"Read the contents of a file. Supports text files and images (jpg, png, gif, webp, bmp). Images are sent as attachments. For text files, output is truncated to 2000 lines or 50KB (whichever is hit first). Use offset/limit for large files. When you need the full file, continue with offset until complete.","parameters":{"type":"object","required":["path"],"properties":{"path":{"type":"string","description":"Path to the file to read (relative or absolute)"},"offset":{"type":"number","description":"Line number to start reading from (1-indexed)"},"limit":{"type":"number","description":"Maximum number of lines to read"}}}},{"name":"session_status","description":"Show /status-like card for current/visible session: model, usage, time, cost, tasks. Use `sessionKey=\"current\"` for current session; UI labels like `openclaw-tui` are not keys. `model` sets session override; `model=default` resets. Use for active model/session config questions.","parameters":{"type":"object","properties":{"sessionKey":{"type":"string"},"model":{"type":"string"}}}},{"name":"sessions_history","description":"Fetch sanitized history for visible session. Use before replying, debugging, resuming; supports limit, offset pagination, and tool-message inclusion.","parameters":{"type":"object","required":["sessionKey"],"properties":{"sessionKey":{"type":"string"},"limit":{"type":"integer","minimum":1},"offset":{"type":"integer","minimum":0},"includeTools":{"type":"boolean"}}}},{"name":"sessions_list","description":"List visible sessions; filter by kind, label, agentId, search, activity, archive state. Use before sessions_history or sessions_send target selection.","parameters":{"type":"object","properties":{"kinds":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"limit":{"type":"integer","minimum":1},"activeMinutes":{"type":"integer","minimum":1},"messageLimit":{"type":"integer","minimum":0},"label":{"type":"string","minLength":1},"agentId":{"type":"string","minLength":1,"maxLength":64},"search":{"type":"string","minLength":1},"archived":{"type":"boolean"},"includeDerivedTitles":{"type":"boolean"},"includeLastMessage":{"type":"boolean"}}}},{"name":"sessions_send","description":"Send message to visible session by sessionKey/label, or configured agent by agentId; sessionKey wins when redundant label metadata is present. Thread-scoped chats rejected; target parent channel session. Creates missing configured-agent main session; waits for reply when available.","parameters":{"type":"object","required":["message"],"properties":{"sessionKey":{"type":"string"},"label":{"type":"string","minLength":1,"maxLength":512},"agentId":{"type":"string","minLength":1,"maxLength":64},"message":{"type":"string"},"timeoutSeconds":{"type":"integer","minimum":0}}}},{"name":"sessions_spawn","description":"Spawn clean child session; default `runtime=\"subagent\"`. `mode=\"run\"` one-shot background work. Subagents inherit parent workspace. Native subagents get task in first visible `[Subagent Task]` message. Native only: `context=\"fork\"` only when child needs current transcript; else omit or `isolated`. Use for fresh child-session work. Delegate sidecar/parallel tasks: batch file reads, multi-step searches, data collection. Avoid delegating quick lookups or single-file reads unless policy prefers delegation. After spawning, do non-overlapping work while run-mode results return.","parameters":{"type":"object","required":["task"],"properties":{"task":{"type":"string"},"taskName":{"type":"string","description":"Stable alias for later targeting; lowercase letters/digits/underscores/hyphens, starts letter."},"label":{"type":"string"},"runtime":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"agentId":{"type":"string"},"model":{"type":"string"},"thinking":{"type":"string"},"cwd":{"type":"string"},"mode":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"cleanup":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"sandbox":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"context":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Native context. Omit/\"isolated\" for clean child; \"fork\" only when child needs requester transcript."},"lightContext":{"type":"boolean","description":"Light bootstrap context; runtime=\"subagent\" only."},"attachments":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"maxItems":50},"attachAs":{"type":"object","properties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}}}}},{"name":"sessions_yield","description":"End current turn. Use after spawning subagents; results arrive as next message.","parameters":{"type":"object","properties":{"message":{"type":"string"}}}},{"name":"skill_workshop","description":"Create, update, revise, list, inspect, apply, reject, or quarantine Skill Workshop proposals when reusable procedures should be captured, improved, or explicitly approved.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"create = new skill; update = existing live skill; revise = existing pending proposal; list/inspect discover pending proposals (not filesystem search); apply/reject/quarantine are explicit lifecycle actions."},"proposal_id":{"type":"string","description":"Existing proposal id for action=inspect, action=revise, action=apply, action=reject, or action=quarantine."},"name":{"type":"string","description":"Skill/proposal name. Required for create; for inspect/revise when proposal_id is unknown, resolves a pending proposal or returns candidates."},"query":{"type":"string","description":"Optional query for action=list."},"status":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Optional proposal status filter for action=list."},"limit":{"type":"integer","minimum":1,"maximum":50,"description":"Maximum proposals to return for action=list. Defaults to 20."},"description":{"type":"string","maxLength":160,"description":"Skill description for create/update/revise; max 160 bytes. On update, concise text shortens the proposal listing entry."},"skill_name":{"type":"string","description":"Existing skill name or key for action=update."},"proposal_content":{"type":"string","description":"Full proposed procedure markdown for action=create, action=update, or action=revise. It will be stored as PROPOSAL.md. Keep under configured skills.workshop.maxSkillBytes; default max is 40000 bytes."},"support_files":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Optional support files to store with the proposal."},"goal":{"type":"string","description":"Proposal or improvement goal."},"evidence":{"type":"string","description":"Short evidence or notes."},"reason":{"type":"string","description":"Optional reason for action=apply, action=reject, or action=quarantine."}},"additionalProperties":false}},{"name":"subagents","description":"List active and recent subagents for the requester session. If sessions_yield exists, use it for completion; do not poll wait loops.","parameters":{"type":"object","properties":{"action":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6}},"recentMinutes":{"type":"integer","minimum":1}}}},{"name":"tts","description":"Use only for explicit audio intent (voice/speech/TTS) or active TTS config. Never use for ordinary text replies. Audio auto-delivered from tool result; after success follow reply instructions, no duplicate text/audio.","parameters":{"type":"object","required":["text"],"properties":{"text":{"type":"string","description":"Text to speak."},"channel":{"type":"string","description":"Channel id; output-format hint."},"timeoutMs":{"type":"integer","description":"Provider timeout ms.","minimum":1}}}},{"name":"update_goal","description":"Mark the current goal complete only when achieved, or blocked only after the same blocking condition recurs for at least three consecutive goal turns. Do not use blocked for ordinary difficulty or missing polish.","parameters":{"type":"object","required":["status"],"properties":{"status":{"type":"string","enum":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"complete | blocked."},"note":{"type":"string","description":"Short status note."}}}},{"name":"update_plan","description":"Update current run plan. Use for non-trivial multi-step work; keep plan current while executing. Short steps; max one `in_progress`; skip for simple one-step work.","parameters":{"type":"object","required":["plan"],"properties":{"explanation":{"type":"string","description":"Short note: what changed."},"plan":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"minItems":1,"description":"Ordered steps; max one in_progress."}}}},{"name":"video_generate","description":"Create videos. Session chats: background task; do not call video_generate again for same request; wait completion, then report through the current visible-reply contract with generated media attached using structured media fields. \"status\" checks active task. Duration may round to provider-supported value.","parameters":{"type":"object","properties":{"action":{"type":"string","description":"\"generate\" default, \"status\" active task, \"list\" providers/models."},"prompt":{"type":"string","description":"Video prompt."},"image":{"type":"string","description":"One reference image path/URL."},"images":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference images; max 9."},"imageRoles":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"`image` + `images` roles by index after de-dupe. Values: first_frame, last_frame, reference_image; empty string leaves unset."},"video":{"type":"string","description":"One reference video path/URL."},"videos":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Reference videos; max 4."},"videoRoles":{"type":"array","items":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"`video` + `videos` roles by index after de-dupe. Value: reference_video; empty string leaves unset."},"model":{"type":"string","description":"Provider/model override, e.g. qwen/wan2.6-t2v."},"filename":{"type":"string","description":"Output filename hint; basename preserved in managed media dir."},"size":{"type":"string","description":"Size hint, e.g. 1280x720, 1920x1080."},"aspectRatio":{"type":"string","description":"Aspect ratio: 1:1, 16:9, 9:16, \"adaptive\", or provider value; unsupported normalized/ignored."},"resolution":{"type":"string","description":"Resolution: 360P, 480P, 540P, 720P, 768P, 1080P, 4K, or provider value; unsupported normalized/ignored."},"durationSeconds":{"type":"integer","description":"Target seconds; may round to nearest supported duration.","minimum":1},"audio":{"type":"boolean","description":"Generated-audio toggle."},"watermark":{"type":"boolean","description":"Watermark toggle."},"providerOptions":{"type":"object","patternProperties":{"truncated":true,"reason":"trajectory-depth-limit","limitDepth":6},"description":"Provider JSON options, e.g. {\"seed\":42}. Keys/types must match provider capabilities; mismatch skips candidate. Use action=list for accepted keys."},"timeoutMs":{"type":"integer","description":"Provider timeout ms.","minimum":1}}}},{"name":"write","description":"Write content to a file. Creates the file if it doesn't exist, overwrites if it does. Automatically creates parent directories.","parameters":{"type":"object","required":["path","content"],"properties":{"path":{"type":"string","description":"Path to the file to write (relative or absolute)"},"content":{"type":"string","description":"Content to write to the file"}}}}],"imagesCount":0,"streamStrategy":"boundary-aware:openai-completions","transport":"auto","transcriptLeafId":"82e091a0"}}
|
||
{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","source":"runtime","type":"prompt.submitted","ts":"2026-07-15T10:10:52.476Z","seq":4,"sourceSeq":123,"sessionId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","sessionKey":"agent:main:dashboard:2fdf88e4-fa3f-46c2-b547-384e2c048b11","runId":"99542ad6-55bf-4549-ac35-6ab6d8d2c191","workspaceDir":"/home/yangxuan/.openclaw/workspace","provider":"deepseek","modelId":"deepseek-v4-flash","modelApi":"openai-completions","data":{"prompt":"保存今日记忆 明天还要用","systemPrompt":{"truncated":true,"reason":"trajectory-field-size-limit","originalChars":39560,"limitChars":32768},"messages":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate \n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","timestamp":1784109538113,"idempotencyKey":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"},{"role":"user","content":"保留原时分秒，只改日期部分\nUPDATE dmp_spom.dmp_mrp_main_plan_task SET plan_start_time='2026-07-07 11:03:04',create_time='2026-07-07 10:58:04',update_time='2026-07-07 11:03:04' WHERE ecid='kanda' AND plan_no='PLAN2026071414255193535522';\n-- 物料计划主表\n-- 批量更新 dmp_spom.dmp_mrp_main_plan_task 的 create_time update_time中的日期部分为 对应的plan_start_time","timestamp":1784109596434,"idempotencyKey":"7c28a842-8a9f-4cc4-9094-1298d4ce1a5c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**物料计划主表 `dmp_mrp_main_plan_task`**，要把 `create_time` 和 `update_time` 的日期部分改为对应的 `plan_start_time`，保留原时分秒。\n\n## 更新脚本\n\n```sql\nUPDATE dmp_spom.dmp_mrp_main_plan_task\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'kanda';\n```\n\n范围条件？我看你前面说的是\"计划开始时间是7月份的数据\"，但 `plan_start_time` 看样例已经是 7 月份。你对范围有要求吗？比如：\n\n```sql\n-- 如果只要 plan_start_time 在7月份的数据\nAND plan_start_time >= '2026-07-01' AND plan_start_time < '2026-08-01'\n\n-- 或者只要 plan_start_time 日期和 create_time 日期不一致的（避免无意义更新）\nAND DATE(plan_start_time) != DATE(create_time)\n```\n\n需要加范围条件吗？还是直接全量更新 `ecid = 'kanda'` 的所有记录？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":1021,"output":340,"cacheRead":26880,"cacheWrite":0,"totalTokens":28241,"cost":{"input":0.001021,"output":0.0006799999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0017009999999999998}},"stopReason":"stop","timestamp":1784109597165,"responseId":"3546056a-f6d1-4805-b0d2-e4d5739d2293"},{"role":"user","content":"采购订单\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37' where ecid = 'hsjm' and order_no ='PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 16:10:47', update_time ='2026-01-12 16:10:47' where ecid = 'hsjm' and order_no ='PO2026000002';\n把 时间等于下单时间。\n-- 采购订单\n-- 批量更新 dmp_serp.dmp_mc_purchase_order 的 create_time update_time中的日期部分为 对应的order_date\n\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\n把 时间等于下单时间。\n\n-- 采购明细表\n-- 批量更新 dmp_serp.dmp_mc_purchase_order_detail 的 create_time update_time中的日期部分为 对应的order_date","timestamp":1784109736511,"idempotencyKey":"dea79fe3-9e82-4fcc-932b-78fe7ffb7ea2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，两个表一起处理，都是**采购订单**相关，用 `order_date` 作为日期源。\n\n## 采购订单主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购订单明细表\n\n明细表需要通过 `order_no` 和 `ecid` 关联主表获取 `order_date`：\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order_detail pd\nJOIN dmp_serp.dmp_mc_purchase_order po \n ON pd.ecid = po.ecid AND pd.order_no = po.order_no\nSET \n pd.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pd.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE pd.ecid = 'hsjm';\n```\n\n同样你提到的 **plan_arrival_date**——明细表里也有这个字段，看你样例里也在改它。但你的需求描述里只提了 `create_time` 和 `update_time`，`plan_arrival_date` 是否需要基于主表的 `plan_arrival_date` 同步更新？如果需要，可以加上：\n\n```sql\n-- 在明细表的 SET 中加上 plan_arrival_date 同步\n pd.plan_arrival_date = po.plan_arrival_date,\n```\n\n---\n\n汇总一下你到目前为止的更新清单：\n\n| 序号 | 表 | 日期源字段 |\n|------|-----|-----------|\n| 1 | `dmp_serp.dmp_om_order` | `om_orderdate` |\n| 2 | `dmp_serp.dmp_om_productinfo` | 关联主表 `om_orderdate` |\n| 3 | `dmp_spom.dmp_mrp_main_plan_task` | `plan_start_time` |\n| 4 | `dmp_serp.dmp_mc_purchase_order` | `order_date` |\n| 5 | `dmp_serp.dmp_mc_purchase_order_detail` | 关联主表 `order_date` |\n\n还有其他表要处理吗？一次性都帮你搞定 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":537,"output":666,"cacheRead":28160,"cacheWrite":0,"totalTokens":29363,"cost":{"input":0.0005369999999999999,"output":0.0013319999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0018689999999999998}},"stopReason":"stop","timestamp":1784109737239,"responseId":"4b7762d3-e202-4784-90ea-1934b8437ee9"},{"role":"user","content":"采购到货\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 14:59:11', update_time = '2026-01-22 14:59:11' where ecid = 'hsjm' and arrival_no = 'PAD2026000001';\n\n\n把 时间等于送货时间。\n-- 采购到货主表\n\n\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\n\n把 时间等于送货时间。\n-- 采购到货明细","timestamp":1784109773108,"idempotencyKey":"c1f0893e-59e7-4e66-8ebf-c96466a88991:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `ship_date`（送货时间/发货时间）。\n\n## 采购到货主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购到货明细表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival_detail ad\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON ad.ecid = a.ecid AND ad.arrival_no = a.arrival_no\nSET \n ad.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n ad.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ad.ecid = 'hsjm';\n```\n\n不过我看你的例子里，`ship_date` 和 `arrival_date` 都是 `'2026-01-22'`（同一天）。你说\"时间等于**送货时间**\"，那就是用 `ship_date` 作为日期源，没错吧？还是说你想用 `arrival_date`（到货时间）？\n\n---\n\n## 📋 完整更新清单（截至目前）\n\n| 序号 | 表 | 数据库 | 日期源字段 | 关联方式 |\n|------|-----|--------|-----------|---------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 直接更新 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate` | JOIN 主表 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 直接更新 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 直接更新 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date` | JOIN 主表 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 直接更新 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date` | JOIN 主表 |\n\n还继续有吗？一次性整完 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":427,"output":719,"cacheRead":29312,"cacheWrite":0,"totalTokens":30458,"cost":{"input":0.00042699999999999997,"output":0.001438,"cacheRead":0,"cacheWrite":0,"total":0.001865}},"stopReason":"stop","timestamp":1784109773806,"responseId":"8409c206-8436-4c31-93df-a6c9c78ea7a5"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验","timestamp":1784109808938,"idempotencyKey":"4b7a78ce-766c-439b-8784-ec9eef3f92ac:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**来料检验表**，需要关联**采购到货单**获取 `ship_date`。\n\n关联关系：`qc_task_inspect` 通过某个字段关联到采购到货单？我先看看常见关联方式——通常来料检验单会记录 `arrival_no`（到货单号）和 `ecid`。\n\n如果 `qc_task_inspect` 里有 `arrival_no` 字段，关联到 `dmp_mc_purchase_arrival`：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect qi\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON qi.ecid = a.ecid AND qi.arrival_no = a.arrival_no\nSET \n qi.insp_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.insp_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE qi.ecid = 'hsjm';\n```\n\n不过我需要确认一下——`qc_task_inspect` 里**关联采购到货单的字段名是什么**？常见的有：\n- `arrival_no` — 到货单号\n- `src_bill_no` — 来源单据号\n\n你能看看表结构确认一下关联字段吗？或者直接告诉我 `qc_task_inspect` 里哪个字段存的是到货单号就行。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":317,"output":444,"cacheRead":30336,"cacheWrite":0,"totalTokens":31097,"cost":{"input":0.000317,"output":0.000888,"cacheRead":0,"cacheWrite":0,"total":0.001205}},"stopReason":"stop","timestamp":1784109809545,"responseId":"a97cc980-d1b1-4640-9631-1a5bc07b2155"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验 只有主表","timestamp":1784109834801,"idempotencyKey":"1b1a78a5-b104-491c-8c1a-3388b55520a1:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"只有主表，没有关联明细。那 `qc_task_inspect` 直接用某个字段关联到采购到货单获取 `ship_date`。我需要先看看这个表里有什么关联字段。\n\n让我查一下表结构："},{"type":"toolCall","id":"call00zNFXflO9uvHF88gvemNV1946","name":"exec","arguments":{"command":"mysql -u root -p'YourPassword' -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null || echo \"NEED_PASSWORD\""},"partialArgs":"{\"command\": \"mysql -u root -p'YourPassword' -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null || echo \\\"NEED_PASSWORD\\\"\"}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":320,"output":127,"cacheRead":30976,"cacheWrite":0,"totalTokens":31423,"cost":{"input":0.00031999999999999997,"output":0.000254,"cacheRead":0,"cacheWrite":0,"total":0.000574}},"stopReason":"toolUse","timestamp":1784109835616,"responseId":"6d7b9ef4-7af8-4b71-a201-06dba58c46a8"},{"role":"toolResult","toolCallId":"call00zNFXflO9uvHF88gvemNV1946","toolName":"exec","content":[{"type":"text","text":"NEED_PASSWORD"}],"isError":false,"timestamp":1784109838817},{"role":"assistant","content":[{"type":"toolCall","id":"call00PIuYMg0px60fCGWCIhay2037","name":"exec","arguments":{"command":"mysql -u root -p -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null | head -50","timeout":10},"partialArgs":"{\"command\": \"mysql -u root -p -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null | head -50\", \"timeout\": 10}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":79,"output":90,"cacheRead":31360,"cacheWrite":0,"totalTokens":31529,"cost":{"input":0.000079,"output":0.00017999999999999998,"cacheRead":0,"cacheWrite":0,"total":0.000259}},"stopReason":"toolUse","timestamp":1784109838831,"responseId":"1ac67ea0-15ab-4d4d-8d1a-bec64bd8a1be"},{"role":"toolResult","toolCallId":"call00PIuYMg0px60fCGWCIhay2037","toolName":"exec","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1784109840424},{"role":"assistant","content":[{"type":"text","text":"没有直连数据库的权限，没关系。你看看 `qc_task_inspect` 表里有什么字段可以用来关联到采购到货单？比如：\n\n- `arrival_no`（到货单号）\n- `src_bill_no` / `source_no`（来源单号）\n- `order_no`（采购订单号）\n- 或者其它什么字段？\n\n你告诉我关联字段名，我就能直接写出完整的 SQL 了。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":55,"output":92,"cacheRead":31488,"cacheWrite":0,"totalTokens":31635,"cost":{"input":0.000054999999999999995,"output":0.000184,"cacheRead":0,"cacheWrite":0,"total":0.000239}},"stopReason":"stop","timestamp":1784109840437,"responseId":"e2a7cf1e-c246-4d51-b8a5-498bd181dfce"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验\n-- 批量更新 dmp_smes.qc_task_inspect 的 create_time update_time中的日期部分为 对应insp_time","timestamp":1784109869504,"idempotencyKey":"31a50ea4-daa6-44a6-b525-6e085ebd2335:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"啊，看明白了！你的意思是 **直接用 `insp_time` 作为日期源**，不需要关联到货单：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单汇总\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|--------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 否 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（关联主表） | 是 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 否 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 否 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（关联主表） | 是 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 否 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（关联主表） | 是 |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | 否 |\n\n还有要处理的表吗？一起搞定 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":242,"output":471,"cacheRead":31616,"cacheWrite":0,"totalTokens":32329,"cost":{"input":0.000242,"output":0.0009419999999999999,"cacheRead":0,"cacheWrite":0,"total":0.001184}},"stopReason":"stop","timestamp":1784109870180,"responseId":"0bddd8b3-54ef-4280-b497-c5f6e7c4c117"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in set bill_date='2026-01-23',completed_at='2026-01-24 10:33:27', create_time='2026-01-23 09:56:17',update_time='2026-01-24 10:33:27' where stock_in_no='PE2026000002' and ecid ='hsjm';\n把时间等于最后入库时间。\n-- 采购入库主表\n-- 批量更新 dmp_serp.dmp_im_stock_in 的 create_time update_time中的日期部分为 对应的completed_at","timestamp":1784109898245,"idempotencyKey":"19ea56c9-af6f-4a6e-8331-4c25e67fc817:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `completed_at`（最后入库时间）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（9个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|:----:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n\n还继续有吗？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":229,"output":499,"cacheRead":32256,"cacheWrite":0,"totalTokens":32984,"cost":{"input":0.00022899999999999998,"output":0.000998,"cacheRead":0,"cacheWrite":0,"total":0.001227}},"stopReason":"stop","timestamp":1784109898887,"responseId":"4df6ab45-0f41-4730-9b14-34965a8d2fc5"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in_out_flow_detail set stock_date='2026-01-24',bill_date='2026-01-23',update_time='2026-01-24 09:12:43',create_time='2026-01-23 09:46:37' where flow_no='SIO20260410000001' and ecid ='hsjm';\n\n把时间等于最后入库时间。\n-- 采购出入库记录\n-- 批量更新 dmp_serp.dmp_im_stock_in_out_flow_detail 的 create_time update_time中的日期部分为 对应的stock_date","timestamp":1784109928282,"idempotencyKey":"fc11b4ae-ecb7-44e7-b501-01b59e37bf0c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `stock_date`：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in_out_flow_detail\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（10个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n\n还有吗？一次全整完，然后我给你生成一个**完整的 SQL 脚本文件**，方便你一次性执行 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":247,"output":551,"cacheRead":32896,"cacheWrite":0,"totalTokens":33694,"cost":{"input":0.000247,"output":0.001102,"cacheRead":0,"cacheWrite":0,"total":0.001349}},"stopReason":"stop","timestamp":1784109928948,"responseId":"530e1437-c5c6-4d13-9bd9-ceb4ee9ee99d"},{"role":"user","content":"update dmp_serp.dmp_im_stock_out set bill_date='2026-01-10',delivery_at='2026-01-25 10:26:19', create_time='2026-01-10 11:03:04', update_time='2026-01-25 10:26:19' where stock_out_no='PD2026000127' and ecid='hsjm';\n把时间等于单据日期。\n-- 生产领料单\n-- 批量更新 dmp_serp.dmp_im_stock_out 的 create_time update_time中的日期部分为 对应的bill_date","timestamp":1784109964929,"idempotencyKey":"cce96fb1-3bfc-4883-adaf-9111e6c44dd2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `bill_date`（单据日期）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_out\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（11个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n\n继续还是可以帮你生成完整脚本了？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":185,"output":566,"cacheRead":33664,"cacheWrite":0,"totalTokens":34415,"cost":{"input":0.000185,"output":0.001132,"cacheRead":0,"cacheWrite":0,"total":0.001317}},"stopReason":"stop","timestamp":1784109965649,"responseId":"46255802-137d-4009-afcd-6da8548f271b"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in_out_flow_detail set stock_date='2026-04-05',bill_date='2026-03-21',update_time='2026-04-05 14:07:09',create_time='2026-03-21 12:11:27' where flow_no='SIO20260410000236' and ecid ='hsjm';\n把时间等于单据日期。\n-- -领料出库记录\n-- 批量更新 dmp_serp.dmp_im_stock_in_out_flow_detail 的 create_time update_time中的日期部分为 对应的stock_date","timestamp":1784109993896,"idempotencyKey":"90f480c3-711d-4afa-8813-526c1cba7146:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"这个表之前已经处理过了（序号10），但之前的日期源是 `stock_date`（你说\"时间等于最后入库时间\"），现在这个你说\"时间等于单据日期\"。\n\n那我看看——同一个表 `dmp_im_stock_in_out_flow_detail`，之前是入库记录用 `stock_date`，现在是出库记录也用 `stock_date`，其实是一样的对吧？\n\n那我保持之前的脚本不变（用 `stock_date` 作为日期源），它已经覆盖了这个表的所有 `ecid = 'hsjm'` 记录：\n\n```sql\n-- 已在序号10中覆盖，无需重复\n```\n\n不过如果你想**区分入库和出库**来用不同的日期源，那就需要告诉我用什么字段来区分（比如单据类型字段）。\n\n还是说这个表统一用 `stock_date` 就行了？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":270,"output":172,"cacheRead":34304,"cacheWrite":0,"totalTokens":34746,"cost":{"input":0.00027,"output":0.00034399999999999996,"cacheRead":0,"cacheWrite":0,"total":0.000614}},"stopReason":"stop","timestamp":1784109994584,"responseId":"0e44ed7f-eb7e-4ba0-a1c8-3045b209ec87"},{"role":"user","content":"UPDATE dmp_smes.dmp_me_work_operate_record_detail SET stock_in_date ='2026-02-07',report_date ='2026-02-06 14:06:18',create_time ='2026-02-06 14:06:18',update_time='2026-02-06 14:06:18' WHERE batch_no='MSN00000919' AND ecid ='hsjm';\n\n把时间等于报工日期。\n-- 生产报工记录\n-- 批量更新 dmp_smes.dmp_me_work_operate_record_detail 的 create_time update_time中的日期部分为 对应的report_date","timestamp":1784110030260,"idempotencyKey":"18cd925e-1adf-452f-a337-09bcf00c489c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `report_date`（报工日期）：\n\n```sql\nUPDATE dmp_smes.dmp_me_work_operate_record_detail\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(report_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(report_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（12个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n| 12 | `dmp_me_work_operate_record_detail` | `dmp_smes` | `report_date` | ❌ |\n\n还有吗？差不多了吧，要不要我帮你生成一个**完整的 SQL 脚本文件**？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":223,"output":613,"cacheRead":34688,"cacheWrite":0,"totalTokens":35524,"cost":{"input":0.000223,"output":0.0012259999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0014489999999999998}},"stopReason":"stop","timestamp":1784110031005,"responseId":"05098369-82e0-49aa-8fb8-ace75f94ba2c"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in set bill_date='2026-02-06',completed_at='2026-02-07 11:13:38', create_time='2026-02-06 14:06:18',update_time='2026-02-07 11:13:38' where stock_in_no='PI2604100002' and ecid ='hsjm';\n\n把时间等于单据日期。\n-- 生产入库单\n-- 批量更新 dmp_serp.dmp_im_stock_in 的 create_time update_time中的日期部分为 对应的bill_date","timestamp":1784110061318,"idempotencyKey":"b2248248-f715-42f6-9b39-d10f30b2d7c2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"之前序号9用的 `completed_at`，现在改成用 `bill_date`。以你最新的要求为准，更新脚本：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 最终更新清单（12个表，已按最新要求修正）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `bill_date` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n| 12 | `dmp_me_work_operate_record_detail` | `dmp_smes` | `report_date` | ❌ |\n\n还要继续加表吗？还是我帮你把这 12 条 SQL 生成一个完整的脚本文件，方便你一键执行？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":222,"output":636,"cacheRead":35456,"cacheWrite":0,"totalTokens":36314,"cost":{"input":0.000222,"output":0.001272,"cacheRead":0,"cacheWrite":0,"total":0.0014939999999999999}},"stopReason":"stop","timestamp":1784110062026,"responseId":"44204c2c-90d6-418f-8e5c-1a5559d966fc"},{"role":"user","content":"update dmp_serp.dmp_om_deliver_order set create_time ='2026-02-08 16:17:09',update_time ='2026-02-08 16:17:09',om_deliverdate ='2026-02-08' where ecid ='hsjm' and om_deliverorder ='FHO2026000003';\n把时间等于要求发货日期。\n-- 销售发货单\n-- 批量更新 dmp_serp.dmp_om_deliver_order 的 create_time update_time中的日期部分为 对应的om_deliverdate\n\nupdate dmp_serp.dmp_om_deliver_productinfo set create_time ='2026-02-08 10:00:40',update_time ='2026-02-08 10:00:40' where ecid ='hsjm' and om_deliverorder ='FHO2026000002';\nupdate dmp_serp.dmp_om_deliver_productinfo set create_time ='2026-02-08 16:17:09',update_time ='2026-02-08 16:17:09' where ecid ='hsjm' and om_deliverorder ='FHO2026000003';\n把时间等于要求发货日期。\n-- 发货单明细\n-- 批量更新 dmp_serp.dmp_om_deliver_productinfo 的 create_time update_time中的日期部分为 对应的om_deliverdate\n-- 根据 dmp_serp.dmp_om_deliver_productinfo.om_deliverorder ecid 关联 dmp_serp.dmp_om_deliver_order.om_deliverorder ecid","timestamp":1784110153457,"idempotencyKey":"a1c56d85-1317-4a95-a5c0-0219f9d08e80:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"好，两个表一起处理。\n\n## 销售发货单主表\n\n```sql\nUPDATE dmp_serp.dmp_om_deliver_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_deliverdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_deliverdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 发货单明细表\n\n```sql\nUPDATE dmp_serp.dmp_om_deliver_productinfo dpi\nJOIN dmp_serp.dmp_om_deliver_order d\n ON dpi.ecid = d.ecid AND dpi.om_deliverorder = d.om_deliverorder\nSET \n dpi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(d.om_deliverdate, '%Y-%m-%d'), ' ', DATE_FORMAT(dpi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n dpi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(d.om_deliverdate, '%Y-%m-%d'), ' ', DATE_FORMAT(dpi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE dpi.ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（14个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `bill_date` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n| 12 | `dmp_me_work_operate_record_detail` | `dmp_smes` | `report_date` | ❌ |\n| 13 | `dmp_om_deliver_order` | `dmp_serp` | `om_deliverdate` | ❌ |\n| 14 | `dmp_om_deliver_productinfo` | `dmp_serp` | `om_deliverdate`（JOIN 主表） | ✅ |\n\n还要继续吗？差不多了的话我帮你生成完整 SQL 脚本文件？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":488,"output":908,"cacheRead":36224,"cacheWrite":0,"totalTokens":37620,"cost":{"input":0.000488,"output":0.001816,"cacheRead":0,"cacheWrite":0,"total":0.002304}},"stopReason":"stop","timestamp":1784110154228,"responseId":"cc8fab7c-7b8b-43d3-a996-67bab9d75632"},{"role":"user","content":"UPDATE `dmp_smes`.`dmp_me_produce_pick` SET document_date = '2026-01-10 00:00:00',maintain_time = '2026-01-25 10:26:19' WHERE ecid = 'hsjm' and stock_out_apply_no = 'PD2026000127';\n把时间等于要求单据日期。\n-- 领料单\n-- 批量更新 dmp_smes.dmp_me_produce_pick 的 create_time update_time中的日期部分为 对应的document_date","timestamp":1784110215840,"idempotencyKey":"c7b37ba9-edd3-4966-9b52-0686f1e8ffdd:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"```sql\nUPDATE dmp_smes.dmp_me_produce_pick\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(document_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(document_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（15个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `bill_date` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n| 12 | `dmp_me_work_operate_record_detail` | `dmp_smes` | `report_date` | ❌ |\n| 13 | `dmp_om_deliver_order` | `dmp_serp` | `om_deliverdate` | ❌ |\n| 14 | `dmp_om_deliver_productinfo` | `dmp_serp` | `om_deliverdate`（JOIN 主表） | ✅ |\n| 15 | `dmp_me_produce_pick` | `dmp_smes` | `document_date` | ❌ |\n\n还要继续吗？还是生成完整脚本了？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":254,"output":691,"cacheRead":37504,"cacheWrite":0,"totalTokens":38449,"cost":{"input":0.000254,"output":0.001382,"cacheRead":0,"cacheWrite":0,"total":0.0016359999999999999}},"stopReason":"stop","timestamp":1784110216586,"responseId":"95f93789-0afe-451d-82ea-0d969822d918"}],"imagesCount":0}}
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{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","source":"runtime","type":"model.completed","ts":"2026-07-15T10:11:01.945Z","seq":5,"sourceSeq":124,"sessionId":"6bea706a-5657-4bd6-93a5-91c4d97d049f","sessionKey":"agent:main:dashboard:2fdf88e4-fa3f-46c2-b547-384e2c048b11","runId":"99542ad6-55bf-4549-ac35-6ab6d8d2c191","workspaceDir":"/home/yangxuan/.openclaw/workspace","provider":"deepseek","modelId":"deepseek-v4-flash","modelApi":"openai-completions","data":{"aborted":false,"externalAbort":false,"timedOut":false,"idleTimedOut":false,"timedOutDuringCompaction":false,"timedOutDuringToolExecution":false,"timedOutByRunBudget":false,"promptErrorSource":null,"usage":{"input":2011,"output":1100,"cacheRead":76032,"total":79143},"promptCache":{"lastCallUsage":{"input":1166,"output":53,"cacheRead":38400,"cacheWrite":0,"total":39619},"lastCacheTouchAt":1784110260442},"compactionCount":0,"assistantTexts":["先保存今天的工作记录。","今天的记录已保存 ✅\n\n15 个表的更新清单都在里面了，明天你继续找我时我会直接调出记录继续处理（比如生成完整的 `.sql` 脚本文件）。需要我现在就帮你生成完整脚本，还是明天再说？😄"],"finalPromptText":"保存今日记忆 明天还要用","messagesSnapshot":[{"role":"user","content":"你有修改mysql8 sql脚本的能力吗？","timestamp":1784108534913,"idempotencyKey":"badca995-9689-4381-ab54-d25b7ae35868:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"有的，我有修改 MySQL 8 SQL 脚本的能力。具体来说我可以做：\n\n**✅ 我能做的：**\n- 修改/优化 SQL 语句（SELECT、JOIN、子查询、CTE 等）\n- 调整 DDL（CREATE TABLE、ALTER TABLE、索引、约束）\n- 优化存储过程、函数、触发器\n- 窗口函数、JSON 操作、CTE 等 MySQL 8 新特性\n- 检查并修复语法错误或兼容性问题\n- 调整字符集/排序规则（utf8mb4、utf8mb4_unicode_ci 等）\n- 添加/修改索引和查询优化建议\n- 数据库迁移脚本改写（如从其他数据库迁移到 MySQL 8）\n\n**🛠️ 配合技能更专业：**\n我也有专门的 **MySQL skill** 和 **sql-toolkit skill** 可以加载，用于更复杂的查询设计、性能优化、迁移等场景。\n\n你手头有具体的 SQL 脚本需要修改吗？把内容贴给我，告诉我你想改什么，我来处理。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":12770,"output":226,"cacheRead":12928,"cacheWrite":0,"totalTokens":25924,"cost":{"input":0.01277,"output":0.000452,"cacheRead":0,"cacheWrite":0,"total":0.013222}},"stopReason":"stop","timestamp":1784108536112,"responseId":"ca7c6766-d6ec-45ad-b41e-5c41b6c14a4d"},{"role":"user","content":"update dmp_serp.dmp_om_order set create_time ='2026-01-09 09:11:11',update_time ='2026-01-09 09:11:11' where ecid ='hsjm' and om_order ='OR2026000101';\nupdate dmp_serp.dmp_om_order set create_time ='2026-01-09 14:21:08',update_time ='2026-01-09 14:21:08' where ecid ='hsjm' and om_order ='OR2026000102';\n把下单时间是7月份的数据，把创 时间等于下单时间。\n-- 销售订单\n-- 下单时间 om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_order 的 create_time update_time中的日期部分为 对应的om_orderdate","timestamp":1784108781240,"idempotencyKey":"04a08452-e927-483f-b5b9-e81f2c617e32:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，你要把 `dmp_serp.dmp_om_order` 表中，**下单时间（om_orderdate）在 7 月份** 的数据，将 `create_time` 和 `update_time` 的**日期部分**改为对应的 `om_orderdate`，时间部分保持原样（或统一设为 `00:00:00`？看你给的例子是统一时间 `09:11:11`，我理解你是想保留原时间的时分秒，只改日期）。\n\n不过 `om_orderdate` 格式是 `yyyy-MM-dd`，而 `create_time` / `update_time` 是 `datetime` 类型，需要用 `DATE()` 提取日期部分再用 `STR_TO_DATE` 拼接。\n\n按你的逻辑，应该是这样：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n**这个脚本的意思是：**\n- 只更新 `om_orderdate` 在 **2026年7月** 的数据\n- `create_time` 的**日期部分**换成 `om_orderdate`，**时分秒**保留原来的\n- `update_time` 同理\n\n如果你希望**时分秒统一为 `00:00:00`**，那就更简单：\n\n```sql\nUPDATE dmp_serp.dmp_om_order\nSET \n create_time = om_orderdate,\n update_time = om_orderdate\nWHERE om_orderdate >= '2026-07-01' AND om_orderdate < '2026-08-01';\n```\n\n⚠️ **建议：**\n- 执行前先备份或用 `SELECT` 预览受影响的数据\n- 先跑 `SELECT COUNT(*)` 确认影响行数\n- 最好先在测试环境试跑\n\n要我帮你生成**预览 SQL** 先看看哪些数据会被改吗？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":283,"output":526,"cacheRead":25856,"cacheWrite":0,"totalTokens":26665,"cost":{"input":0.000283,"output":0.001052,"cacheRead":0,"cacheWrite":0,"total":0.001335}},"stopReason":"stop","timestamp":1784108782045,"responseId":"2d380713-de8d-4190-b28d-a87c12c941f1"},{"role":"user","content":"进一步处理明细\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\nupdate dmp_serp.dmp_om_productinfo set create_time ='2026-04-07 11:07:05',update_time ='2026-04-07 11:07:05' where ecid ='hsjm' and om_ordernum ='OR2026000162';\n把下单时间时7月份的数据，把 时间等于下单时间。\n-- 销售订单明细\n-- 下单时间 dmp_serp.dmp_om_order.om_orderdate 格式 yyyy-MM-dd\n-- 批量更新 dmp_serp.dmp_om_productinfo 的 create_time update_time中的日期部分为 对应的om_orderdate \n-- 根据 dmp_serp.dmp_om_productinfo.om_ordernum ecid 关联 dmp_serp.dmp_om_order.om_order ecid","timestamp":1784109538113,"idempotencyKey":"cd56c14b-16ff-4f87-bbfe-116ec4dc3317:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**订单明细表 `dmp_om_productinfo`**，需要关联主表 `dmp_om_order` 来获取 `om_orderdate`，然后更新明细表的 `create_time` 和 `update_time`。\n\n先确认一下：`om_orderdate` 是 `DATE` 类型还是 `DATETIME` 类型？我按 `DATE` 类型处理（如果 `om_orderdate` 是 `yyyy-MM-dd` 格式的 `DATE`）。\n\n## 方案一：保留原时分秒，只改日期部分\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(o.om_orderdate, '%Y-%m-%d'), ' ', DATE_FORMAT(pi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## 方案二：时分秒统一为 00:00:00（更简洁）\n\n```sql\nUPDATE dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nSET \n pi.create_time = o.om_orderdate,\n pi.update_time = o.om_orderdate\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n```\n\n## ⚠️ 执行前建议先预览\n\n```sql\n-- 预览影响行数\nSELECT COUNT(*)\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm';\n\n-- 预览具体变更\nSELECT \n pi.om_ordernum,\n o.om_orderdate,\n pi.create_time AS old_create_time,\n pi.update_time AS old_update_time,\n o.om_orderdate AS new_create_time,\n o.om_orderdate AS new_update_time\nFROM dmp_serp.dmp_om_productinfo pi\nJOIN dmp_serp.dmp_om_order o \n ON pi.ecid = o.ecid AND pi.om_ordernum = o.om_order\nWHERE o.om_orderdate >= '2026-07-01' AND o.om_orderdate < '2026-08-01'\n AND pi.ecid = 'hsjm'\nLIMIT 20;\n```\n\n你看看用方案一（保留时分秒）还是方案二（统一 `00:00:00`）？确认后可以直接拿去跑。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":322,"output":800,"cacheRead":26624,"cacheWrite":0,"totalTokens":27746,"cost":{"input":0.00032199999999999997,"output":0.0015999999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0019219999999999999}},"stopReason":"stop","timestamp":1784109539013,"responseId":"d91f6c4f-a83d-429d-99cb-42f4dc9ab595"},{"role":"user","content":"保留原时分秒，只改日期部分\nUPDATE dmp_spom.dmp_mrp_main_plan_task SET plan_start_time='2026-07-07 11:03:04',create_time='2026-07-07 10:58:04',update_time='2026-07-07 11:03:04' WHERE ecid='kanda' AND plan_no='PLAN2026071414255193535522';\n-- 物料计划主表\n-- 批量更新 dmp_spom.dmp_mrp_main_plan_task 的 create_time update_time中的日期部分为 对应的plan_start_time","timestamp":1784109596434,"idempotencyKey":"7c28a842-8a9f-4cc4-9094-1298d4ce1a5c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**物料计划主表 `dmp_mrp_main_plan_task`**，要把 `create_time` 和 `update_time` 的日期部分改为对应的 `plan_start_time`，保留原时分秒。\n\n## 更新脚本\n\n```sql\nUPDATE dmp_spom.dmp_mrp_main_plan_task\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(plan_start_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'kanda';\n```\n\n范围条件？我看你前面说的是\"计划开始时间是7月份的数据\"，但 `plan_start_time` 看样例已经是 7 月份。你对范围有要求吗？比如：\n\n```sql\n-- 如果只要 plan_start_time 在7月份的数据\nAND plan_start_time >= '2026-07-01' AND plan_start_time < '2026-08-01'\n\n-- 或者只要 plan_start_time 日期和 create_time 日期不一致的（避免无意义更新）\nAND DATE(plan_start_time) != DATE(create_time)\n```\n\n需要加范围条件吗？还是直接全量更新 `ecid = 'kanda'` 的所有记录？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":1021,"output":340,"cacheRead":26880,"cacheWrite":0,"totalTokens":28241,"cost":{"input":0.001021,"output":0.0006799999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0017009999999999998}},"stopReason":"stop","timestamp":1784109597165,"responseId":"3546056a-f6d1-4805-b0d2-e4d5739d2293"},{"role":"user","content":"采购订单\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37' where ecid = 'hsjm' and order_no ='PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order set order_date = '2026-01-12', plan_arrival_date = '2026-01-24',create_time = '2026-01-12 16:10:47', update_time ='2026-01-12 16:10:47' where ecid = 'hsjm' and order_no ='PO2026000002';\n把 时间等于下单时间。\n-- 采购订单\n-- 批量更新 dmp_serp.dmp_mc_purchase_order 的 create_time update_time中的日期部分为 对应的order_date\n\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\nupdate dmp_serp.dmp_mc_purchase_order_detail set create_time = '2026-01-12 09:35:37', update_time ='2026-01-12 09:35:37', plan_arrival_date = '2026-01-24' where ecid = 'hsjm' and order_no = 'PO2026000001';\n把 时间等于下单时间。\n\n-- 采购明细表\n-- 批量更新 dmp_serp.dmp_mc_purchase_order_detail 的 create_time update_time中的日期部分为 对应的order_date","timestamp":1784109736511,"idempotencyKey":"dea79fe3-9e82-4fcc-932b-78fe7ffb7ea2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，两个表一起处理，都是**采购订单**相关，用 `order_date` 作为日期源。\n\n## 采购订单主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购订单明细表\n\n明细表需要通过 `order_no` 和 `ecid` 关联主表获取 `order_date`：\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_order_detail pd\nJOIN dmp_serp.dmp_mc_purchase_order po \n ON pd.ecid = po.ecid AND pd.order_no = po.order_no\nSET \n pd.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n pd.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(po.order_date, '%Y-%m-%d'), ' ', DATE_FORMAT(pd.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE pd.ecid = 'hsjm';\n```\n\n同样你提到的 **plan_arrival_date**——明细表里也有这个字段，看你样例里也在改它。但你的需求描述里只提了 `create_time` 和 `update_time`，`plan_arrival_date` 是否需要基于主表的 `plan_arrival_date` 同步更新？如果需要，可以加上：\n\n```sql\n-- 在明细表的 SET 中加上 plan_arrival_date 同步\n pd.plan_arrival_date = po.plan_arrival_date,\n```\n\n---\n\n汇总一下你到目前为止的更新清单：\n\n| 序号 | 表 | 日期源字段 |\n|------|-----|-----------|\n| 1 | `dmp_serp.dmp_om_order` | `om_orderdate` |\n| 2 | `dmp_serp.dmp_om_productinfo` | 关联主表 `om_orderdate` |\n| 3 | `dmp_spom.dmp_mrp_main_plan_task` | `plan_start_time` |\n| 4 | `dmp_serp.dmp_mc_purchase_order` | `order_date` |\n| 5 | `dmp_serp.dmp_mc_purchase_order_detail` | 关联主表 `order_date` |\n\n还有其他表要处理吗？一次性都帮你搞定 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":537,"output":666,"cacheRead":28160,"cacheWrite":0,"totalTokens":29363,"cost":{"input":0.0005369999999999999,"output":0.0013319999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0018689999999999998}},"stopReason":"stop","timestamp":1784109737239,"responseId":"4b7762d3-e202-4784-90ea-1934b8437ee9"},{"role":"user","content":"采购到货\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival set ship_date = '2026-01-22', arrival_date ='2026-01-22', create_time = '2026-01-22 14:59:11', update_time = '2026-01-22 14:59:11' where ecid = 'hsjm' and arrival_no = 'PAD2026000001';\n\n\n把 时间等于送货时间。\n-- 采购到货主表\n\n\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\nupdate dmp_serp.dmp_mc_purchase_arrival_detail set create_time = '2026-01-22 13:24:40', update_time = '2026-01-22 13:24:40' where ecid = 'hsjm' and arrival_no = 'PAD2026000000';\n\n把 时间等于送货时间。\n-- 采购到货明细","timestamp":1784109773108,"idempotencyKey":"c1f0893e-59e7-4e66-8ebf-c96466a88991:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `ship_date`（送货时间/发货时间）。\n\n## 采购到货主表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 采购到货明细表\n\n```sql\nUPDATE dmp_serp.dmp_mc_purchase_arrival_detail ad\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON ad.ecid = a.ecid AND ad.arrival_no = a.arrival_no\nSET \n ad.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n ad.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(ad.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ad.ecid = 'hsjm';\n```\n\n不过我看你的例子里，`ship_date` 和 `arrival_date` 都是 `'2026-01-22'`（同一天）。你说\"时间等于**送货时间**\"，那就是用 `ship_date` 作为日期源，没错吧？还是说你想用 `arrival_date`（到货时间）？\n\n---\n\n## 📋 完整更新清单（截至目前）\n\n| 序号 | 表 | 数据库 | 日期源字段 | 关联方式 |\n|------|-----|--------|-----------|---------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 直接更新 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate` | JOIN 主表 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 直接更新 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 直接更新 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date` | JOIN 主表 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 直接更新 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date` | JOIN 主表 |\n\n还继续有吗？一次性整完 😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":427,"output":719,"cacheRead":29312,"cacheWrite":0,"totalTokens":30458,"cost":{"input":0.00042699999999999997,"output":0.001438,"cacheRead":0,"cacheWrite":0,"total":0.001865}},"stopReason":"stop","timestamp":1784109773806,"responseId":"8409c206-8436-4c31-93df-a6c9c78ea7a5"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验","timestamp":1784109808938,"idempotencyKey":"4b7a78ce-766c-439b-8784-ec9eef3f92ac:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，这次是**来料检验表**，需要关联**采购到货单**获取 `ship_date`。\n\n关联关系：`qc_task_inspect` 通过某个字段关联到采购到货单？我先看看常见关联方式——通常来料检验单会记录 `arrival_no`（到货单号）和 `ecid`。\n\n如果 `qc_task_inspect` 里有 `arrival_no` 字段，关联到 `dmp_mc_purchase_arrival`：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect qi\nJOIN dmp_serp.dmp_mc_purchase_arrival a\n ON qi.ecid = a.ecid AND qi.arrival_no = a.arrival_no\nSET \n qi.insp_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.insp_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n qi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(a.ship_date, '%Y-%m-%d'), ' ', DATE_FORMAT(qi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE qi.ecid = 'hsjm';\n```\n\n不过我需要确认一下——`qc_task_inspect` 里**关联采购到货单的字段名是什么**？常见的有：\n- `arrival_no` — 到货单号\n- `src_bill_no` — 来源单据号\n\n你能看看表结构确认一下关联字段吗？或者直接告诉我 `qc_task_inspect` 里哪个字段存的是到货单号就行。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":317,"output":444,"cacheRead":30336,"cacheWrite":0,"totalTokens":31097,"cost":{"input":0.000317,"output":0.000888,"cacheRead":0,"cacheWrite":0,"total":0.001205}},"stopReason":"stop","timestamp":1784109809545,"responseId":"a97cc980-d1b1-4640-9631-1a5bc07b2155"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验 只有主表","timestamp":1784109834801,"idempotencyKey":"1b1a78a5-b104-491c-8c1a-3388b55520a1:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"只有主表，没有关联明细。那 `qc_task_inspect` 直接用某个字段关联到采购到货单获取 `ship_date`。我需要先看看这个表里有什么关联字段。\n\n让我查一下表结构："},{"type":"toolCall","id":"call00zNFXflO9uvHF88gvemNV1946","name":"exec","arguments":{"command":"mysql -u root -p'YourPassword' -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null || echo \"NEED_PASSWORD\""},"partialArgs":"{\"command\": \"mysql -u root -p'YourPassword' -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null || echo \\\"NEED_PASSWORD\\\"\"}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":320,"output":127,"cacheRead":30976,"cacheWrite":0,"totalTokens":31423,"cost":{"input":0.00031999999999999997,"output":0.000254,"cacheRead":0,"cacheWrite":0,"total":0.000574}},"stopReason":"toolUse","timestamp":1784109835616,"responseId":"6d7b9ef4-7af8-4b71-a201-06dba58c46a8"},{"role":"toolResult","toolCallId":"call00zNFXflO9uvHF88gvemNV1946","toolName":"exec","content":[{"type":"text","text":"NEED_PASSWORD"}],"isError":false,"timestamp":1784109838817},{"role":"assistant","content":[{"type":"toolCall","id":"call00PIuYMg0px60fCGWCIhay2037","name":"exec","arguments":{"command":"mysql -u root -p -e \"DESCRIBE dmp_smes.qc_task_inspect;\" 2>/dev/null | head -50","timeout":10},"partialArgs":"{\"command\": \"mysql -u root -p -e \\\"DESCRIBE dmp_smes.qc_task_inspect;\\\" 2>/dev/null | head -50\", \"timeout\": 10}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":79,"output":90,"cacheRead":31360,"cacheWrite":0,"totalTokens":31529,"cost":{"input":0.000079,"output":0.00017999999999999998,"cacheRead":0,"cacheWrite":0,"total":0.000259}},"stopReason":"toolUse","timestamp":1784109838831,"responseId":"1ac67ea0-15ab-4d4d-8d1a-bec64bd8a1be"},{"role":"toolResult","toolCallId":"call00PIuYMg0px60fCGWCIhay2037","toolName":"exec","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1784109840424},{"role":"assistant","content":[{"type":"text","text":"没有直连数据库的权限，没关系。你看看 `qc_task_inspect` 表里有什么字段可以用来关联到采购到货单？比如：\n\n- `arrival_no`（到货单号）\n- `src_bill_no` / `source_no`（来源单号）\n- `order_no`（采购订单号）\n- 或者其它什么字段？\n\n你告诉我关联字段名，我就能直接写出完整的 SQL 了。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":55,"output":92,"cacheRead":31488,"cacheWrite":0,"totalTokens":31635,"cost":{"input":0.000054999999999999995,"output":0.000184,"cacheRead":0,"cacheWrite":0,"total":0.000239}},"stopReason":"stop","timestamp":1784109840437,"responseId":"e2a7cf1e-c246-4d51-b8a5-498bd181dfce"},{"role":"user","content":"update dmp_smes.qc_task_inspect set insp_time='2026-01-25 12:54:03',create_time='2026-01-24 14:44:23',update_time='2026-01-25 12:54:03'where insp_doc_no='IQC2026000001'and ecid='hsjm';\nupdate dmp_smes.qc_task_inspect set insp_time='2026-01-25 14:09:36',create_time='2026-01-24 14:44:23',update_time='2026-01-25 14:09:36'where insp_doc_no='IQC2026000002'and ecid='hsjm';\n把 时间等于到货单的送货时间。\n-- -来料检验\n-- 批量更新 dmp_smes.qc_task_inspect 的 create_time update_time中的日期部分为 对应insp_time","timestamp":1784109869504,"idempotencyKey":"31a50ea4-daa6-44a6-b525-6e085ebd2335:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"啊，看明白了！你的意思是 **直接用 `insp_time` 作为日期源**，不需要关联到货单：\n\n```sql\nUPDATE dmp_smes.qc_task_inspect\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(insp_time, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单汇总\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|--------|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | 否 |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（关联主表） | 是 |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | 否 |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | 否 |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（关联主表） | 是 |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | 否 |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（关联主表） | 是 |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | 否 |\n\n还有要处理的表吗？一起搞定 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":242,"output":471,"cacheRead":31616,"cacheWrite":0,"totalTokens":32329,"cost":{"input":0.000242,"output":0.0009419999999999999,"cacheRead":0,"cacheWrite":0,"total":0.001184}},"stopReason":"stop","timestamp":1784109870180,"responseId":"0bddd8b3-54ef-4280-b497-c5f6e7c4c117"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in set bill_date='2026-01-23',completed_at='2026-01-24 10:33:27', create_time='2026-01-23 09:56:17',update_time='2026-01-24 10:33:27' where stock_in_no='PE2026000002' and ecid ='hsjm';\n把时间等于最后入库时间。\n-- 采购入库主表\n-- 批量更新 dmp_serp.dmp_im_stock_in 的 create_time update_time中的日期部分为 对应的completed_at","timestamp":1784109898245,"idempotencyKey":"19ea56c9-af6f-4a6e-8331-4c25e67fc817:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `completed_at`（最后入库时间）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(completed_at, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（9个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 需关联 |\n|------|------|--------|-----------|:----:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n\n还继续有吗？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":229,"output":499,"cacheRead":32256,"cacheWrite":0,"totalTokens":32984,"cost":{"input":0.00022899999999999998,"output":0.000998,"cacheRead":0,"cacheWrite":0,"total":0.001227}},"stopReason":"stop","timestamp":1784109898887,"responseId":"4df6ab45-0f41-4730-9b14-34965a8d2fc5"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in_out_flow_detail set stock_date='2026-01-24',bill_date='2026-01-23',update_time='2026-01-24 09:12:43',create_time='2026-01-23 09:46:37' where flow_no='SIO20260410000001' and ecid ='hsjm';\n\n把时间等于最后入库时间。\n-- 采购出入库记录\n-- 批量更新 dmp_serp.dmp_im_stock_in_out_flow_detail 的 create_time update_time中的日期部分为 对应的stock_date","timestamp":1784109928282,"idempotencyKey":"fc11b4ae-ecb7-44e7-b501-01b59e37bf0c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白了，日期源是 `stock_date`：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in_out_flow_detail\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(stock_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（10个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n\n还有吗？一次全整完，然后我给你生成一个**完整的 SQL 脚本文件**，方便你一次性执行 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":247,"output":551,"cacheRead":32896,"cacheWrite":0,"totalTokens":33694,"cost":{"input":0.000247,"output":0.001102,"cacheRead":0,"cacheWrite":0,"total":0.001349}},"stopReason":"stop","timestamp":1784109928948,"responseId":"530e1437-c5c6-4d13-9bd9-ceb4ee9ee99d"},{"role":"user","content":"update dmp_serp.dmp_im_stock_out set bill_date='2026-01-10',delivery_at='2026-01-25 10:26:19', create_time='2026-01-10 11:03:04', update_time='2026-01-25 10:26:19' where stock_out_no='PD2026000127' and ecid='hsjm';\n把时间等于单据日期。\n-- 生产领料单\n-- 批量更新 dmp_serp.dmp_im_stock_out 的 create_time update_time中的日期部分为 对应的bill_date","timestamp":1784109964929,"idempotencyKey":"cce96fb1-3bfc-4883-adaf-9111e6c44dd2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `bill_date`（单据日期）：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_out\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（11个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n\n继续还是可以帮你生成完整脚本了？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":185,"output":566,"cacheRead":33664,"cacheWrite":0,"totalTokens":34415,"cost":{"input":0.000185,"output":0.001132,"cacheRead":0,"cacheWrite":0,"total":0.001317}},"stopReason":"stop","timestamp":1784109965649,"responseId":"46255802-137d-4009-afcd-6da8548f271b"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in_out_flow_detail set stock_date='2026-04-05',bill_date='2026-03-21',update_time='2026-04-05 14:07:09',create_time='2026-03-21 12:11:27' where flow_no='SIO20260410000236' and ecid ='hsjm';\n把时间等于单据日期。\n-- -领料出库记录\n-- 批量更新 dmp_serp.dmp_im_stock_in_out_flow_detail 的 create_time update_time中的日期部分为 对应的stock_date","timestamp":1784109993896,"idempotencyKey":"90f480c3-711d-4afa-8813-526c1cba7146:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"这个表之前已经处理过了（序号10），但之前的日期源是 `stock_date`（你说\"时间等于最后入库时间\"），现在这个你说\"时间等于单据日期\"。\n\n那我看看——同一个表 `dmp_im_stock_in_out_flow_detail`，之前是入库记录用 `stock_date`，现在是出库记录也用 `stock_date`，其实是一样的对吧？\n\n那我保持之前的脚本不变（用 `stock_date` 作为日期源），它已经覆盖了这个表的所有 `ecid = 'hsjm'` 记录：\n\n```sql\n-- 已在序号10中覆盖，无需重复\n```\n\n不过如果你想**区分入库和出库**来用不同的日期源，那就需要告诉我用什么字段来区分（比如单据类型字段）。\n\n还是说这个表统一用 `stock_date` 就行了？"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":270,"output":172,"cacheRead":34304,"cacheWrite":0,"totalTokens":34746,"cost":{"input":0.00027,"output":0.00034399999999999996,"cacheRead":0,"cacheWrite":0,"total":0.000614}},"stopReason":"stop","timestamp":1784109994584,"responseId":"0e44ed7f-eb7e-4ba0-a1c8-3045b209ec87"},{"role":"user","content":"UPDATE dmp_smes.dmp_me_work_operate_record_detail SET stock_in_date ='2026-02-07',report_date ='2026-02-06 14:06:18',create_time ='2026-02-06 14:06:18',update_time='2026-02-06 14:06:18' WHERE batch_no='MSN00000919' AND ecid ='hsjm';\n\n把时间等于报工日期。\n-- 生产报工记录\n-- 批量更新 dmp_smes.dmp_me_work_operate_record_detail 的 create_time update_time中的日期部分为 对应的report_date","timestamp":1784110030260,"idempotencyKey":"18cd925e-1adf-452f-a337-09bcf00c489c:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"明白，日期源是 `report_date`（报工日期）：\n\n```sql\nUPDATE dmp_smes.dmp_me_work_operate_record_detail\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(report_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(report_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（12个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `completed_at` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n| 12 | `dmp_me_work_operate_record_detail` | `dmp_smes` | `report_date` | ❌ |\n\n还有吗？差不多了吧，要不要我帮你生成一个**完整的 SQL 脚本文件**？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":223,"output":613,"cacheRead":34688,"cacheWrite":0,"totalTokens":35524,"cost":{"input":0.000223,"output":0.0012259999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0014489999999999998}},"stopReason":"stop","timestamp":1784110031005,"responseId":"05098369-82e0-49aa-8fb8-ace75f94ba2c"},{"role":"user","content":"update dmp_serp.dmp_im_stock_in set bill_date='2026-02-06',completed_at='2026-02-07 11:13:38', create_time='2026-02-06 14:06:18',update_time='2026-02-07 11:13:38' where stock_in_no='PI2604100002' and ecid ='hsjm';\n\n把时间等于单据日期。\n-- 生产入库单\n-- 批量更新 dmp_serp.dmp_im_stock_in 的 create_time update_time中的日期部分为 对应的bill_date","timestamp":1784110061318,"idempotencyKey":"b2248248-f715-42f6-9b39-d10f30b2d7c2:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"之前序号9用的 `completed_at`，现在改成用 `bill_date`。以你最新的要求为准，更新脚本：\n\n```sql\nUPDATE dmp_serp.dmp_im_stock_in\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(bill_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 最终更新清单（12个表，已按最新要求修正）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `bill_date` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n| 12 | `dmp_me_work_operate_record_detail` | `dmp_smes` | `report_date` | ❌ |\n\n还要继续加表吗？还是我帮你把这 12 条 SQL 生成一个完整的脚本文件，方便你一键执行？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":222,"output":636,"cacheRead":35456,"cacheWrite":0,"totalTokens":36314,"cost":{"input":0.000222,"output":0.001272,"cacheRead":0,"cacheWrite":0,"total":0.0014939999999999999}},"stopReason":"stop","timestamp":1784110062026,"responseId":"44204c2c-90d6-418f-8e5c-1a5559d966fc"},{"role":"user","content":"update dmp_serp.dmp_om_deliver_order set create_time ='2026-02-08 16:17:09',update_time ='2026-02-08 16:17:09',om_deliverdate ='2026-02-08' where ecid ='hsjm' and om_deliverorder ='FHO2026000003';\n把时间等于要求发货日期。\n-- 销售发货单\n-- 批量更新 dmp_serp.dmp_om_deliver_order 的 create_time update_time中的日期部分为 对应的om_deliverdate\n\nupdate dmp_serp.dmp_om_deliver_productinfo set create_time ='2026-02-08 10:00:40',update_time ='2026-02-08 10:00:40' where ecid ='hsjm' and om_deliverorder ='FHO2026000002';\nupdate dmp_serp.dmp_om_deliver_productinfo set create_time ='2026-02-08 16:17:09',update_time ='2026-02-08 16:17:09' where ecid ='hsjm' and om_deliverorder ='FHO2026000003';\n把时间等于要求发货日期。\n-- 发货单明细\n-- 批量更新 dmp_serp.dmp_om_deliver_productinfo 的 create_time update_time中的日期部分为 对应的om_deliverdate\n-- 根据 dmp_serp.dmp_om_deliver_productinfo.om_deliverorder ecid 关联 dmp_serp.dmp_om_deliver_order.om_deliverorder ecid","timestamp":1784110153457,"idempotencyKey":"a1c56d85-1317-4a95-a5c0-0219f9d08e80:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"好，两个表一起处理。\n\n## 销售发货单主表\n\n```sql\nUPDATE dmp_serp.dmp_om_deliver_order\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_deliverdate, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(om_deliverdate, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n## 发货单明细表\n\n```sql\nUPDATE dmp_serp.dmp_om_deliver_productinfo dpi\nJOIN dmp_serp.dmp_om_deliver_order d\n ON dpi.ecid = d.ecid AND dpi.om_deliverorder = d.om_deliverorder\nSET \n dpi.create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(d.om_deliverdate, '%Y-%m-%d'), ' ', DATE_FORMAT(dpi.create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n dpi.update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(d.om_deliverdate, '%Y-%m-%d'), ' ', DATE_FORMAT(dpi.update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE dpi.ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（14个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `bill_date` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n| 12 | `dmp_me_work_operate_record_detail` | `dmp_smes` | `report_date` | ❌ |\n| 13 | `dmp_om_deliver_order` | `dmp_serp` | `om_deliverdate` | ❌ |\n| 14 | `dmp_om_deliver_productinfo` | `dmp_serp` | `om_deliverdate`（JOIN 主表） | ✅ |\n\n还要继续吗？差不多了的话我帮你生成完整 SQL 脚本文件？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":488,"output":908,"cacheRead":36224,"cacheWrite":0,"totalTokens":37620,"cost":{"input":0.000488,"output":0.001816,"cacheRead":0,"cacheWrite":0,"total":0.002304}},"stopReason":"stop","timestamp":1784110154228,"responseId":"cc8fab7c-7b8b-43d3-a996-67bab9d75632"},{"role":"user","content":"UPDATE `dmp_smes`.`dmp_me_produce_pick` SET document_date = '2026-01-10 00:00:00',maintain_time = '2026-01-25 10:26:19' WHERE ecid = 'hsjm' and stock_out_apply_no = 'PD2026000127';\n把时间等于要求单据日期。\n-- 领料单\n-- 批量更新 dmp_smes.dmp_me_produce_pick 的 create_time update_time中的日期部分为 对应的document_date","timestamp":1784110215840,"idempotencyKey":"c7b37ba9-edd3-4966-9b52-0686f1e8ffdd:user","__openclaw":{"senderIsOwner":true}},{"role":"assistant","content":[{"type":"text","text":"```sql\nUPDATE dmp_smes.dmp_me_produce_pick\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(document_date, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(document_date, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n---\n\n## 📋 完整更新清单（15个表）\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联 |\n|:---:|------|--------|-----------|:---:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `bill_date` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n| 12 | `dmp_me_work_operate_record_detail` | `dmp_smes` | `report_date` | ❌ |\n| 13 | `dmp_om_deliver_order` | `dmp_serp` | `om_deliverdate` | ❌ |\n| 14 | `dmp_om_deliver_productinfo` | `dmp_serp` | `om_deliverdate`（JOIN 主表） | ✅ |\n| 15 | `dmp_me_produce_pick` | `dmp_smes` | `document_date` | ❌ |\n\n还要继续吗？还是生成完整脚本了？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":254,"output":691,"cacheRead":37504,"cacheWrite":0,"totalTokens":38449,"cost":{"input":0.000254,"output":0.001382,"cacheRead":0,"cacheWrite":0,"total":0.0016359999999999999}},"stopReason":"stop","timestamp":1784110216586,"responseId":"95f93789-0afe-451d-82ea-0d969822d918"},{"role":"user","content":[{"type":"text","text":"保存今日记忆 明天还要用"}],"timestamp":1784110252492},{"role":"assistant","content":[{"type":"text","text":"先保存今天的工作记录。"},{"type":"toolCall","id":"call_00_xp9tAF6qDWTPRRXBfM2m7490","name":"write","arguments":{"path":"/home/yangxuan/.openclaw/workspace/memory/2026-07-15.md","content":"# 2026-07-15 工作记录\n\n## 批量更新 SQL 脚本 — 日期时间修正（hsjm/ecid）\n\n为杨轩生成了 15 个表的批量 UPDATE 脚本，用于将 `create_time` / `update_time` 的**日期部分**替换为对应业务日期源字段的值，**保留原时分秒**。\n\n### 更新规则\n所有脚本统一模式：\n```sql\nUPDATE table\nSET \n create_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(日期源字段, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n ),\n update_time = STR_TO_DATE(\n CONCAT(DATE_FORMAT(日期源字段, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\n '%Y-%m-%d %H:%i:%s'\n )\nWHERE ecid = 'hsjm';\n```\n\n### 完整表清单\n\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联主表 |\n|:---:|------|--------|-----------|:-------:|\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `bill_date` | ❌ |\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\n| 12 | `dmp_me_work_operate_record_detail` | `dmp_smes` | `report_date` | ❌ |\n| 13 | `dmp_om_deliver_order` | `dmp_serp` | `om_deliverdate` | ❌ |\n| 14 | `dmp_om_deliver_productinfo` | `dmp_serp` | `om_deliverdate`（JOIN 主表） | ✅ |\n| 15 | `dmp_me_produce_pick` | `dmp_smes` | `document_date` | ❌ |\n\n### 需要 JOIN 关联的脚本\n- 序号 2（dmp_om_productinfo）：JOIN dmp_om_order ON ecid + om_ordernum = om_order\n- 序号 5（dmp_mc_purchase_order_detail）：JOIN dmp_mc_purchase_order ON ecid + order_no\n- 序号 7（dmp_mc_purchase_arrival_detail）：JOIN dmp_mc_purchase_arrival ON ecid + arrival_no\n- 序号 14（dmp_om_deliver_productinfo）：JOIN dmp_om_deliver_order ON ecid + om_deliverorder\n\n### 备注\n- 所有脚本仅过滤 `ecid = 'hsjm'`\n- 日期源字段是 DATE 类型，create_time/update_time 是 DATETIME 类型\n- 杨轩还没有让我生成完整的 .sql 脚本文件，明天可能还需要继续处理或生成文件\n"},"partialArgs":"{\"path\": \"/home/yangxuan/.openclaw/workspace/memory/2026-07-15.md\", \"content\": \"# 2026-07-15 工作记录\\n\\n## 批量更新 SQL 脚本 — 日期时间修正（hsjm/ecid）\\n\\n为杨轩生成了 15 个表的批量 UPDATE 脚本，用于将 `create_time` / `update_time` 的**日期部分**替换为对应业务日期源字段的值，**保留原时分秒**。\\n\\n### 更新规则\\n所有脚本统一模式：\\n```sql\\nUPDATE table\\nSET \\n create_time = STR_TO_DATE(\\n CONCAT(DATE_FORMAT(日期源字段, '%Y-%m-%d'), ' ', DATE_FORMAT(create_time, '%H:%i:%s')),\\n '%Y-%m-%d %H:%i:%s'\\n ),\\n update_time = STR_TO_DATE(\\n CONCAT(DATE_FORMAT(日期源字段, '%Y-%m-%d'), ' ', DATE_FORMAT(update_time, '%H:%i:%s')),\\n '%Y-%m-%d %H:%i:%s'\\n )\\nWHERE ecid = 'hsjm';\\n```\\n\\n### 完整表清单\\n\\n| 序号 | 表名 | 数据库 | 日期源字段 | 关联主表 |\\n|:---:|------|--------|-----------|:-------:|\\n| 1 | `dmp_om_order` | `dmp_serp` | `om_orderdate` | ❌ |\\n| 2 | `dmp_om_productinfo` | `dmp_serp` | `om_orderdate`（JOIN 主表） | ✅ |\\n| 3 | `dmp_mrp_main_plan_task` | `dmp_spom` | `plan_start_time` | ❌ |\\n| 4 | `dmp_mc_purchase_order` | `dmp_serp` | `order_date` | ❌ |\\n| 5 | `dmp_mc_purchase_order_detail` | `dmp_serp` | `order_date`（JOIN 主表） | ✅ |\\n| 6 | `dmp_mc_purchase_arrival` | `dmp_serp` | `ship_date` | ❌ |\\n| 7 | `dmp_mc_purchase_arrival_detail` | `dmp_serp` | `ship_date`（JOIN 主表） | ✅ |\\n| 8 | `qc_task_inspect` | `dmp_smes` | `insp_time` | ❌ |\\n| 9 | `dmp_im_stock_in` | `dmp_serp` | `bill_date` | ❌ |\\n| 10 | `dmp_im_stock_in_out_flow_detail` | `dmp_serp` | `stock_date` | ❌ |\\n| 11 | `dmp_im_stock_out` | `dmp_serp` | `bill_date` | ❌ |\\n| 12 | `dmp_me_work_operate_record_detail` | `dmp_smes` | `report_date` | ❌ |\\n| 13 | `dmp_om_deliver_order` | `dmp_serp` | `om_deliverdate` | ❌ |\\n| 14 | `dmp_om_deliver_productinfo` | `dmp_serp` | `om_deliverdate`（JOIN 主表） | ✅ |\\n| 15 | `dmp_me_produce_pick` | `dmp_smes` | `document_date` | ❌ |\\n\\n### 需要 JOIN 关联的脚本\\n- 序号 2（dmp_om_productinfo）：JOIN dmp_om_order ON ecid + om_ordernum = om_order\\n- 序号 5（dmp_mc_purchase_order_detail）：JOIN dmp_mc_purchase_order ON ecid + order_no\\n- 序号 7（dmp_mc_purchase_arrival_detail）：JOIN dmp_mc_purchase_arrival ON ecid + arrival_no\\n- 序号 14（dmp_om_deliver_productinfo）：JOIN dmp_om_deliver_order ON ecid + om_deliverorder\\n\\n### 备注\\n- 所有脚本仅过滤 `ecid = 'hsjm'`\\n- 日期源字段是 DATE 类型，create_time/update_time 是 DATETIME 类型\\n- 杨轩还没有让我生成完整的 .sql 脚本文件，明天可能还需要继续处理或生成文件\\n\"}"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":845,"output":1047,"cacheRead":37632,"cacheWrite":0,"totalTokens":39524,"cost":{"input":0.0008449999999999999,"output":0.002094,"cacheRead":0,"cacheWrite":0,"total":0.0029389999999999998}},"stopReason":"toolUse","timestamp":1784110252533,"responseId":"a53eeea0-2ce7-4d24-9d12-319645b6efe1"},{"role":"toolResult","toolCallId":"call_00_xp9tAF6qDWTPRRXBfM2m7490","toolName":"write","content":[{"type":"text","text":"Successfully wrote 2145 bytes to /home/yangxuan/.openclaw/workspace/memory/2026-07-15.md"}],"isError":false,"timestamp":1784110260425},{"role":"assistant","content":[{"type":"text","text":"今天的记录已保存 ✅\n\n15 个表的更新清单都在里面了，明天你继续找我时我会直接调出记录继续处理（比如生成完整的 `.sql` 脚本文件）。需要我现在就帮你生成完整脚本，还是明天再说？😄"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-flash","usage":{"input":1166,"output":53,"cacheRead":38400,"cacheWrite":0,"totalTokens":39619,"cost":{"input":0.001166,"output":0.000106,"cacheRead":0,"cacheWrite":0,"total":0.001272}},"stopReason":"stop","timestamp":1784110260442,"responseId":"b9228601-5686-41ab-baca-986a7bccf260"}]}}
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