auto: sync OpenClaw config 2026-08-27 11:17
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""解析研究院-维云智造 OKR 绩效 Excel（杨轩），归档到 MySQL resume 库。
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支持新旧两种模板：
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- 旧模板（202601 等，多 sheet）：表头行4，目标行5起
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- 新模板（8月起，单 sheet OKR考核）：表头行5-6，目标行8起（跳过示例行）
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用法：
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python3 parse_okr_to_mysql.py # 解析 inbound 最新 OKR xlsx
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python3 parse_okr_to_mysql.py --month 202601 # 指定考核月
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python3 parse_okr_to_mysql.py --file <xlsx> # 指定文件
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python3 parse_okr_to_mysql.py --dry-run # 预览不写入
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"""
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import glob
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import os
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import re
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import sys
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import openpyxl
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MYSQL_DB = "resume"
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MYSQL_HOST = "127.0.0.1"
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MYSQL_PORT = 3306
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MYSQL_USER = "root"
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def get_mysql_pwd():
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env_path = "/home/yangxuan/.openclaw/.env"
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for line in open(env_path):
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line = line.strip()
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if line.startswith("MYSQL_PWD="):
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return line.split("=", 1)[1].strip()
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return ""
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def parse_info(text):
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"""从人员信息行解析 被考核人/岗位/上级/周期/时间（新旧模板通用）"""
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info = {}
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m = re.search(r"(?:被考核人|姓名)[：:]\s*(\S+)", text)
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info["full_name"] = m.group(1) if m else ""
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m = re.search(r"岗位[：:]\s*(\S+)", text)
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info["position"] = m.group(1) if m else ""
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m = re.search(r"(?:直属上级|直接上级)[：:]\s*(\S+)", text)
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info["supervisor"] = m.group(1) if m else ""
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m = re.search(r"考核周期[：:]\s*([^\s]+)", text)
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info["period"] = m.group(1).strip() if m else ""
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m = re.search(r"考核时间[：:]\s*(\S+)", text)
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info["assess_date"] = m.group(1).strip() if m else ""
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return info
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def detect_template(ws):
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"""识别模板。'new'=8月新模板，'old'=202601旧模板。"""
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# 新模板：行5-6 含"员工本人填报"或"关键结果"
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for r in (5, 6):
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for c in range(3, 12):
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v = ws.cell(row=r, column=c).value
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if v and ("员工本人填报" in str(v) or "关键结果" in str(v)):
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return "new"
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# 旧模板：行4 含"目标O"或"关键绩效指标"
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for c in range(3, 12):
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v = ws.cell(row=4, column=c).value
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if v and ("目标O" in str(v) or "关键绩效指标" in str(v)):
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return "old"
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return "new"
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def parse_sheet_new(ws):
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"""解析 8 月新模板（OKR考核 sheet）"""
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b3 = ws["B3"].value or ""
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info = parse_info(b3)
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# 月度评价：F15 是“月度评价”标签，分数在其右侧（G15 等），上级可能未填
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monthly_rating = None
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for coord in ("G15", "H15", "I15"):
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v = ws[coord].value
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if isinstance(v, (int, float)):
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monthly_rating = float(v)
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break
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objectives = []
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for row in range(8, 40): # 目标行8起
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seq = ws.cell(row=row, column=2).value # B 序号
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obj = ws.cell(row=row, column=3).value # C 任务工作
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krs = ws.cell(row=row, column=4).value # D 关键结果
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compl = ws.cell(row=row, column=5).value # E 完成情况
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score = ws.cell(row=row, column=7).value # G 评分
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weight = ws.cell(row=row, column=9).value # I 权重
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wscore = ws.cell(row=row, column=10).value # J 得分
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if isinstance(obj, str) and "月度工作补充" in obj:
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break
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if not isinstance(seq, (int, float)):
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continue
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objectives.append({
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"seq": int(seq),
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"objective": (obj or "").strip(),
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"krs": (krs or "").strip(),
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"completion": (compl or "").strip(),
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"score": float(score) if isinstance(score, (int, float)) else None,
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"weight": float(weight) if isinstance(weight, (int, float)) else None,
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"weighted_score": float(wscore) if isinstance(wscore, (int, float)) else None,
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})
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return {**info, "monthly_rating": monthly_rating, "objectives": objectives}
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def parse_sheet_old(ws):
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"""解析 202601 旧模板"""
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b2 = ws["B2"].value or ""
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info = parse_info(b2)
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monthly_rating = None
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for coord in ("J12", "B12"):
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v = ws[coord].value
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if isinstance(v, (int, float)):
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monthly_rating = float(v)
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break
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objectives = []
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for row in range(5, 11): # 行5-10 对应序号1-6
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seq = ws.cell(row=row, column=2).value # B 序号
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obj = ws.cell(row=row, column=3).value # C 目标O
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krs = ws.cell(row=row, column=5).value # E KR
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compl = ws.cell(row=row, column=6).value # F 完成情况
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score = ws.cell(row=row, column=8).value # H 评分
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weight = ws.cell(row=row, column=9).value # I 权重
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wscore = ws.cell(row=row, column=10).value # J 加权
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if seq is None and obj is None:
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continue
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objectives.append({
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"seq": seq if isinstance(seq, (int, float)) else row - 4,
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"objective": (obj or "").strip(),
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"krs": (krs or "").strip(),
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"completion": (compl or "").strip(),
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"score": float(score) if isinstance(score, (int, float)) else None,
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"weight": float(weight) if isinstance(weight, (int, float)) else None,
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"weighted_score": float(wscore) if isinstance(wscore, (int, float)) else None,
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})
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return {**info, "monthly_rating": monthly_rating, "objectives": objectives}
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def month_from_period(period, sheet_name, fallback):
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"""从考核周期/sheet名 确定 assess_month（YYYYMM）
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跨月周期（如“7月27日-8月27日”）取后段月份（考核期末）
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"""
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# 末段月份优先（跨月周期取考核期末，如 7月27日-8月27日 → 8月）
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m = re.search(r"-(\d{1,2})月(\d{1,2})日", period or "")
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if m:
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return f"2026{int(m.group(1)):02d}"
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m = re.search(r"(\d{4})年(\d{1,2})月", period or "")
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if m:
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return f"{m.group(1)}{int(m.group(2)):02d}"
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m = re.search(r"(\d{4})\s*(\d{2})", sheet_name or "")
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if m:
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return f"{m.group(1)}{int(m.group(2)):02d}"
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m = re.search(r"(\d{1,2})月", period or "")
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if m:
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return f"2026{int(m.group(1)):02d}"
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return fallback or ""
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def process_sheet(wb, sheet_name, xls, dry_run=False):
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"""解析并归档单个 sheet，返回 (assess_month, 目标数) 或 None"""
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ws = wb[sheet_name]
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tpl = detect_template(ws)
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print(f"📑 Sheet：{sheet_name} | 识别模板：{'新模板(8月起)' if tpl == 'new' else '旧模板(202601)'}")
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data = parse_sheet_new(ws) if tpl == "new" else parse_sheet_old(ws)
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assess_month = month_from_period(data.get("period"), sheet_name, None)
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if not assess_month:
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print(f" ⚠️ 无法确定考核月，跳过")
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return None
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if not data["objectives"]:
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print(f" ⚠️ {sheet_name} 无目标数据，跳过")
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return None
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print(f" 被考核人：{data['full_name']} | 岗位：{data['position']} | 上级：{data['supervisor']}")
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print(f" 考核周期：{data.get('period')} | assess_month={assess_month} | 月度评价：{data.get('monthly_rating')}")
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print(f" 目标数：{len(data['objectives'])}")
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for o in data["objectives"]:
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print(f" {o['seq']}. {o['objective'][:28]} | 权重{o['weight']} 评分{o.get('score')}")
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if dry_run:
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print(" (dry-run 未写入)")
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return assess_month
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pwd = get_mysql_pwd()
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if not pwd:
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print("❌ 未找到 MYSQL_PWD")
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return None
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import pymysql
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conn = pymysql.connect(host=MYSQL_HOST, port=MYSQL_PORT, user=MYSQL_USER,
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password=pwd, database=MYSQL_DB, charset="utf8mb4")
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cur = conn.cursor()
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cur.execute("SELECT id FROM okr_monthly_records WHERE assess_month=%s AND full_name=%s",
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(assess_month, data["full_name"]))
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for (rid,) in cur.fetchall():
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cur.execute("DELETE FROM okr_objectives WHERE record_id=%s", (rid,))
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cur.execute("DELETE FROM okr_monthly_records WHERE id=%s", (rid,))
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cur.execute(
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"INSERT INTO okr_monthly_records (assess_month, full_name, position, supervisor, assess_date, monthly_rating, source_file) "
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"VALUES (%s,%s,%s,%s,%s,%s,%s)",
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(assess_month, data["full_name"], data["position"], data["supervisor"],
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data.get("assess_date", ""), data.get("monthly_rating"), os.path.basename(xls)))
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rid = cur.lastrowid
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for o in data["objectives"]:
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cur.execute(
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"INSERT INTO okr_objectives (record_id, seq, objective, krs, completion, score, weight, weighted_score) "
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"VALUES (%s,%s,%s,%s,%s,%s,%s,%s)",
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(rid, o["seq"], o["objective"], o["krs"], o["completion"], o.get("score"),
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o["weight"], o["weighted_score"]))
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conn.commit()
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cur.close()
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conn.close()
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print(f" ✅ 已入库（{len(data['objectives'])} 项目标）")
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return assess_month
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def main():
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dry_run = "--dry-run" in sys.argv
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month_filter = None
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if "--month" in sys.argv:
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month_filter = sys.argv[sys.argv.index("--month") + 1]
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# 定位 Excel
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xls = None
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for i, a in enumerate(sys.argv[1:]):
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if a == "--file" and i + 2 < len(sys.argv):
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xls = sys.argv[i + 2]
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elif a.endswith(".xlsx"):
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xls = a
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if xls is None or not os.path.exists(xls):
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cand = sorted(glob.glob("/home/yangxuan/.openclaw/media/inbound/*OKR*.xlsx"))
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xls = cand[-1] if cand else None
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if not xls or not os.path.exists(xls):
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print("❌ 未找到 OKR Excel 文件")
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return
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print(f"📄 解析文件：{os.path.basename(xls)}")
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wb = openpyxl.load_workbook(xls, data_only=True)
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# 决定要处理的 sheet 列表
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if month_filter:
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# 支持范围：如 202602-202607，或单个 202601，或逗号分隔
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if "-" in month_filter and len(month_filter) == 13:
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start_m, end_m = month_filter.split("-")
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start_i, end_i = int(start_m), int(end_m)
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months = [str(m) for m in range(start_i, end_i + 1)]
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sheets = [n for n in wb.sheetnames if n in months]
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else:
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parts = [p.strip() for p in month_filter.replace("，", ",").split(",")]
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sheets = [n for n in wb.sheetnames if n in parts]
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if not sheets:
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print(f"❌ 文件里未找到指定月份 sheet：{month_filter}")
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return
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else:
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# 无 --month：优先 OKR考核（新模板单 sheet）
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sheets = [n for n in wb.sheetnames if "OKR考核" in n]
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if not sheets:
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sheets = wb.sheetnames[:1]
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print(f"\n📦 待处理 sheet：{sheets}")
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done = []
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for sn in sheets:
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print()
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r = process_sheet(wb, sn, xls, dry_run)
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if r:
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done.append(r)
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if dry_run:
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print(f"\n🔍 dry-run 完成，共 {len(sheets)} 个 sheet（未写入）")
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else:
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print(f"\n🎉 已完成 {len(done)} 个月 OKR 归档：{done}")
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if __name__ == "__main__":
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main()
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