65 lines
296 KiB
Plaintext
65 lines
296 KiB
Plaintext
{"type":"session","version":3,"id":"9f68efea-1f82-430b-8083-954d7b670cdb","timestamp":"2026-05-12T05:45:16.824Z","cwd":"/home/yangxuan/.openclaw/workspace/java"}
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{"type":"model_change","id":"69f6d2b7","parentId":null,"timestamp":"2026-05-12T05:45:16.865Z","provider":"deepseek","modelId":"deepseek-chat"}
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{"type":"thinking_level_change","id":"d01b8cf3","parentId":"69f6d2b7","timestamp":"2026-05-12T05:45:16.865Z","thinkingLevel":"off"}
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{"type":"custom","customType":"model-snapshot","data":{"timestamp":1778564716869,"provider":"deepseek","modelApi":"openai-completions","modelId":"deepseek-chat"},"id":"4330d860","parentId":"d01b8cf3","timestamp":"2026-05-12T05:45:16.869Z"}
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{"type":"message","id":"3a8959f7","parentId":"4330d860","timestamp":"2026-05-12T05:45:17.009Z","message":{"role":"user","content":[{"type":"text","text":"[Tue 2026-05-12 13:45 GMT+8] [Subagent Context] You are running as a subagent (depth 1/1). Results auto-announce to your requester; do not busy-poll for status.\n\nBegin. Your assigned task is in the system prompt under **Your Role**; execute it to completion."}],"timestamp":1778564716870}}
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{"type":"message","id":"6fed69c1","parentId":"3a8959f7","timestamp":"2026-05-12T05:45:21.548Z","message":{"role":"assistant","content":[{"type":"text","text":"I'll start by reading all the files to understand what needs to be converted. Let me begin with the model classes and utils."},{"type":"toolCall","id":"call_00_JXKU2kw85iV3Fqpm7rnj8775","name":"read","arguments":{"path":"/home/yangxuan/Projects/IdeaProjects/ruoyi-vue-pro/yudao-module-family/src/main/java/cn/iocoder/yudao/module/family/converter/model/Transaction.java"}},{"type":"toolCall","id":"call_01_Lcss6prEuhujeH8jdMkY8761","name":"read","arguments":{"path":"/home/yangxuan/Projects/IdeaProjects/ruoyi-vue-pro/yudao-module-family/src/main/java/cn/iocoder/yudao/module/family/controller/admin/transaction/dto/TransactionDTO.java"}},{"type":"toolCall","id":"call_02_PnA7h1OUWb0WQRCn6lJI0504","name":"read","arguments":{"path":"/home/yangxuan/Projects/IdeaProjects/ruoyi-vue-pro/yudao-module-family/src/main/java/cn/iocoder/yudao/module/family/controller/admin/transaction/dto/ExpenseReportQuery.java"}},{"type":"toolCall","id":"call_03_ohAkLo8Mf6Zrm9rVl5jm5888","name":"read","arguments":{"path":"/home/yangxuan/Projects/IdeaProjects/ruoyi-vue-pro/yudao-module-family/src/main/java/cn/iocoder/yudao/module/family/utils/DateParserUtil.java"}},{"type":"toolCall","id":"call_04_hhy1jZebgFcSC9v9S84a0862","name":"read","arguments":{"path":"/home/yangxuan/Projects/IdeaProjects/ruoyi-vue-pro/yudao-module-family/src/main/java/cn/iocoder/yudao/module/family/utils/DateUtils.java"}},{"type":"toolCall","id":"call_05_Ibl4Rl71DuwEumHKo2Ur3486","name":"read","arguments":{"path":"/home/yangxuan/Projects/IdeaProjects/ruoyi-vue-pro/yudao-module-family/src/main/java/cn/iocoder/yudao/module/family/utils/UniqueSignUtil.java"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":9534,"output":488,"cacheRead":0,"cacheWrite":0,"totalTokens":10022,"cost":{"input":0.009533999999999999,"output":0.000976,"cacheRead":0,"cacheWrite":0,"total":0.010509999999999999}},"stopReason":"toolUse","timestamp":1778564717009,"responseId":"f5196c35-74e8-4108-85c7-46e1cc820ba6","responseModel":"deepseek-v4-flash"}}
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{"type":"message","id":"eff11663","parentId":"6fed69c1","timestamp":"2026-05-12T05:45:21.575Z","message":{"role":"toolResult","toolCallId":"call_00_JXKU2kw85iV3Fqpm7rnj8775","toolName":"read","content":[{"type":"text","text":"package cn.iocoder.yudao.module.family.converter.model;\r\n\r\nimport lombok.Data;\r\n\r\nimport java.math.BigDecimal;\r\nimport java.util.Date;\r\n\r\n/**\r\n * @ClassName：Transaction\r\n * @Description：\r\n * @Author：yangxuan\r\n * @Date：2026/1/6 下午3:10\r\n * @Version：1.0\r\n */\r\n@Data\r\npublic class Transaction {\r\n // ==================== 主键与来源 ====================\r\n private Long id; // 主键（数据库自增）\r\n private String sourceType; // 数据来源：wechat/alipay/cmb/cmb_csv\r\n\r\n // ==================== 时间信息 ====================\r\n private Date tradeTime; // 交易时间（必须）\r\n\r\n // ==================== 交易核心信息 ====================\r\n private String tradeType; // 交易类型/分类\r\n private String counterparty; // 交易对方/对手信息\r\n private String productDesc; // 商品/交易摘要\r\n private String incomeExpense; // 收支类型：收入/支出（必须）\r\n private BigDecimal amount; // 金额（元）（必须）\r\n\r\n // ==================== 支付与状态信息 ====================\r\n private String tradeOrderNo; // 交易单号/订单号\r\n private String remark; // 备注\r\n\r\n // ==================== 系统字段 ====================\r\n private Date createTime; // 创建时间\r\n private Date updateTime; // 更新时间\r\n}\r\n"}],"isError":false,"timestamp":1778564721575}}
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{"type":"message","id":"65508ce1","parentId":"eff11663","timestamp":"2026-05-12T05:45:21.575Z","message":{"role":"toolResult","toolCallId":"call_01_Lcss6prEuhujeH8jdMkY8761","toolName":"read","content":[{"type":"text","text":"package cn.iocoder.yudao.module.family.controller.admin.transaction.dto;\r\n\r\n\r\nimport lombok.Data;\r\n\r\nimport java.math.BigDecimal;\r\nimport java.util.Date;\r\nimport java.util.Map;\r\n\r\n/**\r\n * 交易记录数据传输对象\r\n */\r\n@Data\r\npublic class TransactionDTO {\r\n\r\n // 基础信息\r\n private String sourceType; // 数据来源：wechat/alipay/cmb\r\n private Date tradeTime; // 交易时间\r\n private String tradeType; // 交易类型/分类\r\n private String counterparty; // 交易对方/对手信息\r\n private String accountNo; // 对方账号（支付宝特有）\r\n private String productDesc; // 商品/交易摘要\r\n private String incomeExpense; // 收支类型\r\n private BigDecimal amount; // 金额（元）\r\n private String tradeOrderNo; // 交易单号/订单号\r\n\r\n private BigDecimal balance; // 联机余额（招商银行特有）\r\n private String currency; // 货币类型\r\n private String remark; // 备注\r\n\r\n // 元数据\r\n private String originalFilename; // 原始文件名\r\n private Date importTime; // 导入时间\r\n private String importBatchNo; // 导入批次号\r\n private Long userId; // 用户ID（如果需要）\r\n\r\n // 校验字段\r\n private boolean valid = true;\r\n private String errorMessage;\r\n\r\n /**\r\n * 从统一格式Map创建DTO\r\n */\r\n public static TransactionDTO fromMap(Map<String, Object> map) {\r\n TransactionDTO dto = new TransactionDTO();\r\n\r\n // 设置基础字段\r\n dto.setSourceType((String) map.get(\"detected_type\"));\r\n dto.setTradeTime((Date) map.get(\"trade_time\"));\r\n dto.setTradeType((String) map.getOrDefault(\"trade_type\", map.get(\"trade_category\")));\r\n dto.setCounterparty((String) map.get(\"counterparty\"));\r\n dto.setAccountNo((String) map.get(\"account_no\"));\r\n dto.setProductDesc((String) map.getOrDefault(\"product_desc\", map.get(\"trade_summary\")));\r\n dto.setIncomeExpense((String) map.get(\"income_expense\"));\r\n dto.setAmount((BigDecimal) map.get(\"amount\"));\r\n dto.setTradeOrderNo((String) map.get(\"trade_order_no\"));\r\n dto.setBalance((BigDecimal) map.get(\"balance\"));\r\n dto.setCurrency((String) map.getOrDefault(\"currency\", \"CNY\"));\r\n dto.setSourceType((String) map.get(\"source_type\"));\r\n dto.setRemark((String) map.get(\"remark\"));\r\n\r\n return dto;\r\n }\r\n\r\n /**\r\n * 验证DTO数据\r\n */\r\n public boolean validate() {\r\n if (tradeTime == null) {\r\n errorMessage = \"交易时间不能为空\";\r\n valid = false;\r\n } else if (amount == null) {\r\n errorMessage = \"交易金额不能为空\";\r\n valid = false;\r\n } else if (sourceType == null || sourceType.trim().isEmpty()) {\r\n errorMessage = \"数据来源不能为空\";\r\n valid = false;\r\n } else if (incomeExpense == null || incomeExpense.trim().isEmpty()) {\r\n errorMessage = \"收支类型不能为空\";\r\n valid = false;\r\n }\r\n\r\n return valid;\r\n }\r\n}"}],"isError":false,"timestamp":1778564721575}}
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{"type":"message","id":"c4b0b469","parentId":"65508ce1","timestamp":"2026-05-12T05:45:21.575Z","message":{"role":"toolResult","toolCallId":"call_02_PnA7h1OUWb0WQRCn6lJI0504","toolName":"read","content":[{"type":"text","text":"package cn.iocoder.yudao.module.family.controller.admin.transaction.dto;\r\n\r\n\r\nimport lombok.Data;\r\n\r\nimport java.util.Date;\r\n\r\n@Data\r\npublic class ExpenseReportQuery {\r\n /**\r\n * 年份，默认为2025\r\n */\r\n private Integer year = 2025;\r\n\r\n /**\r\n * 月份，为空表示全年\r\n */\r\n private Integer month;\r\n\r\n /**\r\n * 开始时间\r\n */\r\n private Date startTime;\r\n\r\n /**\r\n * 结束时间\r\n */\r\n private Date endTime;\r\n\r\n /**\r\n * 统计维度：month-按月, category-按类别, source-按数据来源, payment-按支付方式\r\n */\r\n private String dimension = \"month\";\r\n\r\n /**\r\n * 是否包含收入数据（对比用）\r\n */\r\n private Boolean includeIncome = false;\r\n\r\n /**\r\n * 用户ID（多用户系统需要）\r\n */\r\n private Long userId;\r\n}"}],"isError":false,"timestamp":1778564721575}}
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{"type":"message","id":"e78876a3","parentId":"c4b0b469","timestamp":"2026-05-12T05:45:21.575Z","message":{"role":"toolResult","toolCallId":"call_03_ohAkLo8Mf6Zrm9rVl5jm5888","toolName":"read","content":[{"type":"text","text":"package cn.iocoder.yudao.module.family.utils;\r\n\r\nimport java.text.ParseException;\r\nimport java.text.SimpleDateFormat;\r\nimport java.util.Arrays;\r\nimport java.util.Date;\r\nimport java.util.LinkedHashMap;\r\nimport java.util.List;\r\nimport java.util.Map;\r\n\r\n/**\r\n * 智能日期解析工具类\r\n */\r\npublic class DateParserUtil {\r\n\r\n // 常见日期格式列表（按优先级排序）\r\n private static final List<String> COMMON_DATE_FORMATS = Arrays.asList(\r\n \"yyyy-MM-dd HH:mm:ss\",\r\n \"yyyy/MM/dd HH:mm:ss\",\r\n \"yyyy-MM-dd HH:mm\",\r\n \"yyyy/MM/dd HH:mm\",\r\n \"yyyy年MM月dd日 HH:mm:ss\",\r\n \"yyyy年MM月dd日 HH:mm\",\r\n \"yyyy.MM.dd HH:mm:ss\",\r\n \"yyyy.MM.dd HH:mm\",\r\n \"yyyyMMdd HH:mm:ss\",\r\n \"yyyyMMdd HH:mm\"\r\n );\r\n\r\n /**\r\n * 智能解析日期字符串\r\n */\r\n public static Date parseDateSmart(String dateStr) throws ParseException {\r\n return parseDateSmart(dateStr, true);\r\n }\r\n\r\n /**\r\n * 智能解析日期字符串\r\n *\r\n * @param dateStr 日期字符串\r\n * @param lenient 是否使用宽松模式\r\n */\r\n public static Date parseDateSmart(String dateStr, boolean lenient) throws ParseException {\r\n if (dateStr == null || dateStr.trim().isEmpty()) {\r\n return null;\r\n }\r\n\r\n String cleanedDate = cleanDateString(dateStr.trim());\r\n\r\n // 1. 首先尝试常见格式（严格模式）\r\n for (String format : COMMON_DATE_FORMATS) {\r\n try {\r\n SimpleDateFormat sdf = new SimpleDateFormat(format);\r\n sdf.setLenient(false);\r\n return sdf.parse(cleanedDate);\r\n } catch (ParseException e) {\r\n continue;\r\n }\r\n }\r\n\r\n // 2. 如果允许宽松模式，尝试标准化处理\r\n if (lenient) {\r\n try {\r\n return parseDateLenient(cleanedDate);\r\n } catch (ParseException e) {\r\n // 继续下一步\r\n }\r\n }\r\n\r\n // 3. 尝试所有可能的日期时间组合\r\n for (Map.Entry<String, String> entry : getAllPossibleFormats().entrySet()) {\r\n try {\r\n SimpleDateFormat sdf = new SimpleDateFormat(entry.getKey());\r\n sdf.setLenient(lenient);\r\n return sdf.parse(cleanedDate);\r\n } catch (ParseException e) {\r\n continue;\r\n }\r\n }\r\n\r\n throw new ParseException(\"无法解析日期: \" + dateStr, 0);\r\n }\r\n\r\n /**\r\n * 宽松模式解析\r\n */\r\n private static Date parseDateLenient(String dateStr) throws ParseException {\r\n // 分离日期和时间部分\r\n String[] parts = dateStr.split(\"\\\\s+\");\r\n if (parts.length < 2) {\r\n throw new ParseException(\"日期时间格式不完整: \" + dateStr, 0);\r\n }\r\n\r\n String datePart = normalizeDatePart(parts[0]);\r\n String timePart = normalizeTimePart(parts[1]);\r\n\r\n // 补全时间部分\r\n if (timePart.split(\":\").length == 2) {\r\n timePart += \":00\";\r\n }\r\n\r\n String normalized = datePart + \" \" + timePart;\r\n SimpleDateFormat sdf = new SimpleDateFormat(\"yyyy-MM-dd HH:mm:ss\");\r\n sdf.setLenient(true);\r\n return sdf.parse(normalized);\r\n }\r\n\r\n /**\r\n * 清理日期字符串\r\n */\r\n public static String cleanDateString(String dateStr) {\r\n if (dateStr == null) return \"\";\r\n\r\n String cleaned = dateStr;\r\n\r\n // 替换常见字符\r\n cleaned = cleaned.replace(\"T\", \" \")\r\n .replace(\"Z\", \"\")\r\n .replace(\"上午\", \"\")\r\n .replace(\"下午\", \"\")\r\n .replace(\"AM\", \"\")\r\n .replace(\"PM\", \"\")\r\n .replace(\" \", \" \")\r\n .trim();\r\n\r\n // 处理中文日期\r\n cleaned = cleaned.replace(\"年\", \"-\")\r\n .replace(\"月\", \"-\")\r\n .replace(\"日\", \"\")\r\n .replace(\"时\", \":\")\r\n .replace(\"分\", \":\")\r\n .replace(\"秒\", \"\");\r\n\r\n // 标准化分隔符\r\n cleaned = cleaned.replace(\"/\", \"-\")\r\n .replace(\".\", \"-\")\r\n .replace(\"\\\\\", \"-\");\r\n\r\n return cleaned;\r\n }\r\n\r\n /**\r\n * 标准化日期部分\r\n */\r\n private static String normalizeDatePart(String datePart) {\r\n // 确保日期格式为 yyyy-MM-dd\r\n String[] dateComponents = datePart.split(\"[-/.]\");\r\n if (dateComponents.length != 3) {\r\n return datePart;\r\n }\r\n\r\n // 处理年份简写\r\n String year = dateComponents[0];\r\n if (year.length() == 2) {\r\n year = \"20\" + year;\r\n }\r\n\r\n // 补零月份和日期\r\n String month = String.format(\"%02d\", Integer.parseInt(dateComponents[1]));\r\n String day = String.format(\"%02d\", Integer.parseInt(dateComponents[2]));\r\n\r\n return year + \"-\" + month + \"-\" + day;\r\n }\r\n\r\n /**\r\n * 标准化时间部分\r\n */\r\n private static String normalizeTimePart(String timePart) {\r\n // 移除所有非数字和非冒号字符\r\n timePart = timePart.replaceAll(\"[^\\\\d:]\", \"\");\r\n\r\n // 补全时间格式\r\n String[] timeComponents = timePart.split(\":\");\r\n if (timeComponents.length == 1) {\r\n return timeComponents[0] + \":00:00\";\r\n } else if (timeComponents.length == 2) {\r\n return timeComponents[0] + \":\" + timeComponents[1] + \":00\";\r\n } else {\r\n return timePart;\r\n }\r\n }\r\n\r\n /**\r\n * 获取所有可能的日期格式\r\n */\r\n private static Map<String, String> getAllPossibleFormats() {\r\n Map<String, String> formats = new LinkedHashMap<>();\r\n\r\n String[] dateFormats = {\"yyyy-MM-dd\", \"yyyy/MM/dd\", \"yyyy.MM.dd\", \"yyyy年MM月dd日\"};\r\n String[] timeFormats = {\"HH:mm:ss\", \"HH:mm\", \"HH时mm分ss秒\"};\r\n\r\n for (String dateFormat : dateFormats) {\r\n for (String timeFormat : timeFormats) {\r\n formats.put(dateFormat + \" \" + timeFormat, \"日期时间格式\");\r\n }\r\n formats.put(dateFormat, \"日期格式\");\r\n }\r\n\r\n return formats;\r\n }\r\n}"}],"isError":false,"timestamp":1778564721575}}
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{"type":"message","id":"86c88654","parentId":"e78876a3","timestamp":"2026-05-12T05:45:21.576Z","message":{"role":"toolResult","toolCallId":"call_04_hhy1jZebgFcSC9v9S84a0862","toolName":"read","content":[{"type":"text","text":"package cn.iocoder.yudao.module.family.utils;\r\n\r\nimport lombok.extern.slf4j.Slf4j;\r\n\r\nimport java.text.SimpleDateFormat;\r\nimport java.util.Calendar;\r\nimport java.util.Date;\r\nimport java.util.GregorianCalendar;\r\nimport java.util.TimeZone;\r\n\r\n/**\r\n * 日期处理\r\n *\r\n * @author Mark sunlightcs@gmail.com\r\n */\r\n@Slf4j\r\npublic class DateUtils {\r\n /**\r\n * 时间格式(yyyy-MM-dd)\r\n */\r\n public final static String DATE_PATTERN = \"yyyy-MM-dd\";\r\n /**\r\n * 时间格式(yyyy-MM-dd HH:mm:ss)\r\n */\r\n public final static String DATE_TIME_PATTERN = \"yyyy-MM-dd HH:mm:ss\";\r\n\r\n public static final String STARTTIME = \" 00:00:00\";\r\n public static final String ENDTIME = \" 23:59:59\";\r\n public final static String FORMAT_STRING = \"yyyy-MM-dd HH:mm:ss\";\r\n public final static String[] REPLACE_STRING = new String[]{\"GMT+0800\", \"GMT+08:00\"};\r\n public final static String SPLIT_STRING = \"(中国标准时间)\";\r\n\r\n public static String YYYY = \"yyyy\";\r\n\r\n public static String YYYY_MM = \"yyyy-MM\";\r\n\r\n public static String YYYY_MM_DD = \"yyyy-MM-dd\";\r\n\r\n public static String YYYYMMDDHHMMSS = \"yyyyMMddHHmmss\";\r\n\r\n public static String YYYY_MM_DD_HH_MM_SS = \"yyyy-MM-dd HH:mm:ss\";\r\n\r\n private static String[] parsePatterns = {\"yyyy-MM-dd\", \"yyyy-MM-dd HH:mm:ss\", \"yyyy-MM-dd HH:mm\", \"yyyy-MM\", \"yyyy/MM/dd\", \"yyyy/MM/dd HH:mm:ss\", \"yyyy/MM/dd HH:mm\", \"yyyy/MM\", \"yyyy.MM.dd\", \"yyyy.MM.dd HH:mm:ss\", \"yyyy.MM.dd HH:mm\", \"yyyy.MM\"};\r\n\r\n private DateUtils() {\r\n }\r\n\r\n /**\r\n * 获取当前年月日时分秒\r\n *\r\n * @return (String)年月日时分秒\r\n */\r\n public static String getDate() {\r\n //获取当前时间\r\n SimpleDateFormat format = new SimpleDateFormat(\"yyyy-MM-dd HH:mm:ss\");\r\n Calendar calendar = Calendar.getInstance();\r\n\r\n //当前时间starttimeDate\r\n calendar.setTime(new Date());\r\n Date starttimeDate = calendar.getTime();\r\n\r\n return format.format(starttimeDate);\r\n }\r\n\r\n /**\r\n * 日期格式化 日期格式为: yyyy-MM-dd\r\n *\r\n * @param date 日期\r\n * @return 返回yyyy-MM-dd格式日期\r\n */\r\n public static String format(Date date) {\r\n return format(date, DATE_PATTERN);\r\n }\r\n\r\n /**\r\n * 日期格式化 日期格式为: yyyy-MM-dd\r\n *\r\n * @param date 日期\r\n * @param pattern 格式，如: DateUtils.DATE_TIME_PATTERN\r\n * @return 返回yyyy-MM-dd格式日期\r\n */\r\n public static String format(Date date, String pattern) {\r\n if (date != null) {\r\n SimpleDateFormat df = new SimpleDateFormat(pattern);\r\n return df.format(date);\r\n }\r\n return null;\r\n }\r\n\r\n /**\r\n * 得到二个日期间的间隔天数\r\n *\r\n * @param date1\r\n * @param date2\r\n * @return\r\n */\r\n public static int getDayByTwoDay(String date1, String date2) {\r\n SimpleDateFormat myFormatter = new SimpleDateFormat(\"yyyy-MM-dd\");\r\n Long day = 0L;\r\n try {\r\n Date date = myFormatter.parse(date1);\r\n Date mydate = myFormatter.parse(date2);\r\n day = (date.getTime() - mydate.getTime()) / (24 * 60 * 60 * 1000);\r\n } catch (Exception e) {\r\n return 0;\r\n }\r\n return day.intValue();\r\n }\r\n\r\n /**\r\n * 获取当前的月\r\n *\r\n * @return\r\n */\r\n public static Integer getMonth() {\r\n Calendar calendar = new GregorianCalendar(TimeZone.getDefault());\r\n return calendar.get(Calendar.MONTH) + 1;\r\n\r\n }\r\n\r\n /**\r\n * 获取当前天\r\n *\r\n * @return\r\n */\r\n public static Integer getDay() {\r\n Calendar calendar = new GregorianCalendar(TimeZone.getDefault());\r\n return calendar.get(Calendar.DAY_OF_MONTH);\r\n }\r\n\r\n /**\r\n * wx支付的过期时间\r\n *\r\n * @param hour\r\n * @return\r\n */\r\n @SuppressWarnings(\"unused\")\r\n public static String getTime(double hour) {\r\n Calendar calendar = new GregorianCalendar(TimeZone.getDefault());\r\n long time = (long) (System.currentTimeMillis() + hour * 60 * 60 * 1000L);\r\n Date date = new Date(time);\r\n SimpleDateFormat formate = new SimpleDateFormat(\"yyyyMMddHHmmss\");\r\n String format = formate.format(date);\r\n return format;\r\n }\r\n\r\n public static String getNowDateString(String format) {\r\n SimpleDateFormat formate = new SimpleDateFormat(format);\r\n Date date = new Date(System.currentTimeMillis());\r\n return formate.format(date);\r\n }\r\n\r\n}\r\n"}],"isError":false,"timestamp":1778564721575}}
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{"type":"message","id":"d1147fdc","parentId":"86c88654","timestamp":"2026-05-12T05:45:21.576Z","message":{"role":"toolResult","toolCallId":"call_05_Ibl4Rl71DuwEumHKo2Ur3486","toolName":"read","content":[{"type":"text","text":"package cn.iocoder.yudao.module.family.utils;\r\n\r\nimport cn.iocoder.yudao.module.family.controller.admin.transaction.dto.TransactionDTO;\r\n\r\nimport java.math.BigDecimal;\r\nimport java.math.RoundingMode;\r\nimport java.security.MessageDigest;\r\nimport java.security.NoSuchAlgorithmException;\r\nimport java.text.SimpleDateFormat;\r\nimport java.util.Date;\r\n\r\n/**\r\n * 交易唯一标识生成工具\r\n */\r\npublic class UniqueSignUtil {\r\n\r\n private static final SimpleDateFormat TIME_FORMAT = new SimpleDateFormat(\"yyyyMMddHHmmss\");\r\n\r\n /**\r\n * 生成交易唯一标识\r\n * 规则：trade_time + \"|\" + trade_type + \"|\" + amount -> MD5\r\n *\r\n * @param tradeTime 交易时间\r\n * @param tradeType 交易类型\r\n * @param amount 金额\r\n * @return 32位小写MD5\r\n */\r\n public static String generateTradeUniqueSign(Date tradeTime, String tradeType, BigDecimal amount) {\r\n if (tradeTime == null || amount == null) {\r\n throw new IllegalArgumentException(\"交易时间和金额不能为空\");\r\n }\r\n\r\n try {\r\n // 1. 格式化字段\r\n String timeStr = TIME_FORMAT.format(tradeTime);\r\n String typeStr = tradeType != null ? tradeType.trim() : \"NULL\";\r\n String amountStr = amount.setScale(2, RoundingMode.HALF_UP).toPlainString();\r\n\r\n // 2. 构建签名源字符串\r\n String signatureSource = String.join(\"|\", timeStr, typeStr, amountStr);\r\n\r\n // 3. 生成MD5\r\n return generateMD5(signatureSource);\r\n\r\n } catch (Exception e) {\r\n throw new RuntimeException(\"生成交易唯一标识失败\", e);\r\n }\r\n }\r\n\r\n /**\r\n * 从TransactionDTO生成唯一标识\r\n */\r\n public static String generateFromTransaction(TransactionDTO dto) {\r\n return generateTradeUniqueSign(dto.getTradeTime(), dto.getTradeType(), dto.getAmount());\r\n }\r\n\r\n /**\r\n * 生成字符串的MD5值\r\n */\r\n private static String generateMD5(String input) {\r\n try {\r\n MessageDigest md = MessageDigest.getInstance(\"MD5\");\r\n byte[] digest = md.digest(input.getBytes());\r\n\r\n StringBuilder hexString = new StringBuilder();\r\n for (byte b : digest) {\r\n String hex = Integer.toHexString(0xff & b);\r\n if (hex.length() == 1) {\r\n hexString.append('0');\r\n }\r\n hexString.append(hex);\r\n }\r\n\r\n return hexString.toString();\r\n\r\n } catch (NoSuchAlgorithmException e) {\r\n throw new RuntimeException(\"MD5算法不可用\", e);\r\n }\r\n }\r\n}"}],"isError":false,"timestamp":1778564721575}}
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{"type":"message","id":"9bc731f1","parentId":"d1147fdc","timestamp":"2026-05-12T05:45:24.191Z","message":{"role":"assistant","content":[{"type":"text","text":"Now let me read the remaining files:"},{"type":"toolCall","id":"call_00_S9hoOfsruQk8oesRUysq6396","name":"read","arguments":{"path":"/home/yangxuan/Projects/IdeaProjects/ruoyi-vue-pro/yudao-module-family/src/main/java/cn/iocoder/yudao/module/family/service/transaction/TransactionServiceImpl.java"}},{"type":"toolCall","id":"call_01_jyxXqLix4HCYBy4O6Xzh5757","name":"read","arguments":{"path":"/home/yangxuan/Projects/IdeaProjects/ruoyi-vue-pro/yudao-module-family/src/main/java/cn/iocoder/yudao/module/family/converter/AlipayCSVConverter.java"}},{"type":"toolCall","id":"call_02_nlYmix0f0VW0baKEVYpR2019","name":"read","arguments":{"path":"/home/yangxuan/Projects/IdeaProjects/ruoyi-vue-pro/yudao-module-family/src/main/java/cn/iocoder/yudao/module/family/converter/WechatExcelConverter.java"}},{"type":"toolCall","id":"call_03_8NTSSaaPeRoQPiUfwXBU1673","name":"read","arguments":{"path":"/home/yangxuan/Projects/IdeaProjects/ruoyi-vue-pro/yudao-module-family/src/main/java/cn/iocoder/yudao/module/family/converter/CmbCreditCardPDFConverter.java"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":6064,"output":321,"cacheRead":9472,"cacheWrite":0,"totalTokens":15857,"cost":{"input":0.006064,"output":0.000642,"cacheRead":0,"cacheWrite":0,"total":0.006706}},"stopReason":"toolUse","timestamp":1778564721576,"responseId":"28020795-8d80-4238-b5a6-9ef847d80d4d","responseModel":"deepseek-v4-flash"}}
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{"type":"message","id":"59267500","parentId":"9bc731f1","timestamp":"2026-05-12T05:45:24.207Z","message":{"role":"toolResult","toolCallId":"call_00_S9hoOfsruQk8oesRUysq6396","toolName":"read","content":[{"type":"text","text":"package cn.iocoder.yudao.module.family.service.transaction;\r\n\r\nimport cn.hutool.core.lang.TypeReference;\r\nimport cn.hutool.core.util.StrUtil;\r\nimport cn.iocoder.yudao.framework.common.pojo.PageResult;\r\nimport cn.iocoder.yudao.framework.common.util.object.BeanUtils;\r\nimport cn.iocoder.yudao.module.family.controller.admin.transaction.vo.TransactionPageReqVO;\r\nimport cn.iocoder.yudao.module.family.controller.admin.transaction.vo.TransactionSaveReqVO;\r\nimport cn.iocoder.yudao.module.family.controller.admin.transaction.dto.TransactionDTO;\r\nimport cn.iocoder.yudao.module.family.dal.dataobject.transaction.TransactionDO;\r\nimport cn.iocoder.yudao.module.family.dal.mysql.transaction.TransactionMapper;\r\nimport cn.iocoder.yudao.module.family.utils.UniqueSignUtil;\r\nimport jakarta.annotation.Resource;\r\nimport lombok.extern.slf4j.Slf4j;\r\nimport org.springframework.stereotype.Service;\r\nimport org.springframework.validation.annotation.Validated;\r\n\r\nimport java.util.ArrayList;\r\nimport java.util.Date;\r\nimport java.util.HashMap;\r\nimport java.util.HashSet;\r\nimport java.util.List;\r\nimport java.util.Map;\r\nimport java.util.Set;\r\n\r\nimport static cn.iocoder.yudao.framework.common.exception.util.ServiceExceptionUtil.exception;\r\nimport static cn.iocoder.yudao.module.family.enums.ErrorCodeConstants.TRANSACTION_NOT_EXISTS;\r\n\r\n/**\r\n * 统一交易记录 Service 实现类\r\n *\r\n * @author 芋道源码\r\n */\r\n@Service\r\n@Validated\r\n@Slf4j\r\npublic class TransactionServiceImpl implements TransactionService {\r\n\r\n @Resource\r\n private TransactionMapper transactionMapper;\r\n\r\n\r\n /**\r\n * 格式化交易信息（用于错误日志）\r\n */\r\n private String formatTransactionInfo(TransactionDTO dto) {\r\n return String.format(\"[%s] %s %s %s\", dto.getSourceType(), dto.getTradeTime(), dto.getIncomeExpense(), dto.getAmount());\r\n }\r\n\r\n /**\r\n * 从统一格式数据批量导入\r\n *\r\n * @param standardData\r\n * @param originalFilename\r\n */\r\n @Override\r\n public Map<String, Object> importFromStandardFormat(Map<String, Object> standardData, String originalFilename, String type) {\r\n log.info(\"开始导入数据，来源: {}, 文件名: {}\", standardData.get(\"source_type\"), originalFilename);\r\n\r\n // 1. 提取交易列表\r\n List<Map<String, Object>> transactionMaps = cn.hutool.core.convert.Convert.convert(new TypeReference<List<Map<String, Object>>>() {\r\n }, standardData.get(\"transactions\"));\r\n\r\n if (transactionMaps == null || transactionMaps.isEmpty()) {\r\n return Map.of(\"success\", false, \"message\", \"没有可导入的交易数据\");\r\n }\r\n\r\n // 2. 转换为DTO\r\n List<TransactionDTO> dtos = new ArrayList<>();\r\n for (Map<String, Object> map : transactionMaps) {\r\n try {\r\n TransactionDTO dto = TransactionDTO.fromMap(map);\r\n if (StrUtil.isEmpty(dto.getSourceType())) {\r\n dto.setSourceType((String) standardData.get(\"source_type\"));\r\n }\r\n dtos.add(dto);\r\n } catch (Exception e) {\r\n log.warn(\"转换交易数据失败: {}\", e.getMessage());\r\n }\r\n }\r\n\r\n // 4. 批量保存\r\n Map<String, Object> saveResult = batchSaveTransactions(dtos);\r\n\r\n // 5. 添加源数据信息\r\n saveResult.put(\"sourceType\", standardData.get(\"source_type\"));\r\n saveResult.put(\"convertTime\", standardData.get(\"convert_time\"));\r\n\r\n return saveResult;\r\n }\r\n\r\n @Override\r\n public Map<String, Object> batchSaveTransactions(List<TransactionDTO> dtos) {\r\n Map<String, Object> result = new HashMap<>();\r\n List<String> errors = new ArrayList<>();\r\n List<TransactionDTO> validTransactions = new ArrayList<>();\r\n List<TransactionDTO> duplicateTransactions = new ArrayList<>();\r\n List<TransactionDTO> invalidTransactions = new ArrayList<>();\r\n\r\n log.info(\"开始批量保存交易记录，总数: {}\", dtos.size());\r\n\r\n try {\r\n // 1. 数据预处理：验证数据并生成唯一标识\r\n Map<TransactionDTO, String> dtoSignMap = preprocessTransactions(dtos, errors, invalidTransactions);\r\n\r\n if (dtoSignMap.isEmpty()) {\r\n log.warn(\"没有有效的交易记录需要处理\");\r\n return buildResult(result, dtos.size(), 0, 0, invalidTransactions.size(), errors);\r\n }\r\n\r\n // 2. 批量检查唯一标识是否已存在\r\n List<String> signList = new ArrayList<>(dtoSignMap.values());\r\n Set<String> existingSigns = batchCheckExistingSigns(signList);\r\n\r\n // 3. 分类处理：根据唯一标识进行去重\r\n classifyTransactionsByUniqueSign(dtoSignMap, existingSigns, validTransactions, duplicateTransactions);\r\n\r\n // 5. 保存有效数据\r\n int savedCount = saveValidTransactions(validTransactions, errors);\r\n\r\n // 6. 构建结果\r\n result.put(\"savedCount\", savedCount);\r\n log.info(\"保存完成，总计: {}，有效: {}，重复: {}，无效: {}\", dtos.size(), savedCount, duplicateTransactions.size(),\r\n invalidTransactions.size());\r\n\r\n } catch (Exception e) {\r\n log.error(\"批量保存交易记录过程异常\", e);\r\n errors.add(\"处理过程异常: \" + e.getMessage());\r\n }\r\n\r\n return buildResult(result, dtos.size(), validTransactions.size(), duplicateTransactions.size(), invalidTransactions.size(), errors);\r\n }\r\n\r\n /**\r\n * 数据预处理：验证数据并生成唯一标识\r\n */\r\n private Map<TransactionDTO, String> preprocessTransactions(List<TransactionDTO> dtos, List<String> errors, List<TransactionDTO> invalidTransactions) {\r\n Map<TransactionDTO, String> dtoSignMap = new HashMap<>();\r\n\r\n for (TransactionDTO dto : dtos) {\r\n try {\r\n // 1. 数据验证\r\n if (!dto.validate()) {\r\n invalidTransactions.add(dto);\r\n String errorMsg = dto.getErrorMessage() + \": \" + formatTransactionInfo(dto);\r\n errors.add(errorMsg);\r\n log.debug(\"数据验证失败: {}\", errorMsg);\r\n continue;\r\n }\r\n\r\n // 2. 生成唯一标识（trade_time + trade_type + amount的MD5）\r\n String uniqueSign = UniqueSignUtil.generateFromTransaction(dto);\r\n\r\n // 3. 添加到映射表\r\n dtoSignMap.put(dto, uniqueSign);\r\n\r\n log.debug(\"数据预处理完成: {}, MD5: {}\", formatTransactionInfo(dto), uniqueSign);\r\n\r\n } catch (Exception e) {\r\n invalidTransactions.add(dto);\r\n String errorMsg = String.format(\"数据预处理异常: %s - %s\", e.getMessage(), formatTransactionInfo(dto));\r\n errors.add(errorMsg);\r\n log.warn(\"数据预处理异常: {}\", formatTransactionInfo(dto), e);\r\n }\r\n }\r\n\r\n return dtoSignMap;\r\n }\r\n\r\n /**\r\n * 批量检查唯一标识是否已存在\r\n */\r\n private Set<String> batchCheckExistingSigns(List<String> signList) {\r\n Set<String> existingSigns = new HashSet<>();\r\n\r\n if (signList.isEmpty()) {\r\n return existingSigns;\r\n }\r\n\r\n try {\r\n // 分批查询，避免SQL过长\r\n int batchSize = 1000;\r\n for (int i = 0; i < signList.size(); i += batchSize) {\r\n int end = Math.min(i + batchSize, signList.size());\r\n List<String> subList = signList.subList(i, end);\r\n\r\n List<String> existing = transactionMapper.checkExistingUniqueSigns(subList);\r\n existingSigns.addAll(existing);\r\n\r\n log.debug(\"批量检查唯一标识，批次: {}-{}，总数: {}，已存在: {}\", i, end, subList.size(), existing.size());\r\n }\r\n\r\n log.info(\"批量检查完成，总检查数: {}，已存在数: {}\", signList.size(), existingSigns.size());\r\n\r\n } catch (Exception e) {\r\n log.error(\"批量检查唯一标识失败\", e);\r\n // 如果检查失败，暂时认为所有都不存在，继续处理（会在插入时被数据库约束捕获）\r\n }\r\n\r\n return existingSigns;\r\n }\r\n\r\n /**\r\n * 根据唯一标识进行交易分类\r\n */\r\n private void classifyTransactionsByUniqueSign(Map<TransactionDTO, String> dtoSignMap, Set<String> existingSigns, List<TransactionDTO> validTransactions, List<TransactionDTO> duplicateTransactions) {\r\n\r\n // 使用Map来去重同一批数据中的重复\r\n Map<String, TransactionDTO> batchUniqueMap = new HashMap<>();\r\n\r\n for (Map.Entry<TransactionDTO, String> entry : dtoSignMap.entrySet()) {\r\n TransactionDTO dto = entry.getKey();\r\n String uniqueSign = entry.getValue();\r\n\r\n // 1. 检查数据库中是否已存在\r\n if (existingSigns.contains(uniqueSign)) {\r\n duplicateTransactions.add(dto);\r\n log.debug(\"数据库中存在重复记录: {}, MD5: {}\", formatTransactionInfo(dto), uniqueSign);\r\n continue;\r\n }\r\n\r\n // 2. 检查当前批次中是否重复\r\n if (batchUniqueMap.containsKey(uniqueSign)) {\r\n duplicateTransactions.add(dto);\r\n log.debug(\"当前批次中存在重复记录: {}, MD5: {}\", formatTransactionInfo(dto), uniqueSign);\r\n continue;\r\n }\r\n\r\n // 3. 添加到有效列表\r\n batchUniqueMap.put(uniqueSign, dto);\r\n validTransactions.add(dto);\r\n }\r\n\r\n log.info(\"交易分类完成，有效: {}，重复: {}\", validTransactions.size(), duplicateTransactions.size());\r\n }\r\n\r\n /**\r\n * 保存有效交易记录\r\n */\r\n private int saveValidTransactions(List<TransactionDTO> validTransactions, List<String> errors) {\r\n\r\n if (validTransactions.isEmpty()) {\r\n log.info(\"没有有效的交易记录需要保存\");\r\n return 0;\r\n }\r\n\r\n try {\r\n // 1. 转换为实体对象\r\n List<TransactionDO> entities = convertToEntitiesWithSign(validTransactions);\r\n\r\n // 2. 批量插入\r\n int savedCount = transactionMapper.batchInsertWithSign(entities);\r\n\r\n log.info(\"成功保存 {} 条交易记录到数据库\", savedCount);\r\n return savedCount;\r\n\r\n } catch (Exception e) {\r\n log.error(\"保存交易记录失败\", e);\r\n\r\n // 3. 异常处理\r\n String errorMessage = e.getMessage();\r\n if (errorMessage.contains(\"uk_unique_sign\") || errorMessage.contains(\"Duplicate entry\")) {\r\n // 唯一约束冲突，说明有并发插入或其他问题\r\n errors.add(\"数据保存失败：存在重复记录（可能并发导入导致）\");\r\n log.error(\"唯一约束冲突，可能存在并发导入\");\r\n } else {\r\n errors.add(\"数据保存失败: \" + e.getMessage());\r\n }\r\n\r\n throw new RuntimeException(\"保存数据失败: \" + e.getMessage(), e);\r\n }\r\n }\r\n\r\n /**\r\n * 构建返回结果\r\n */\r\n private Map<String, Object> buildResult(Map<String, Object> result, int total, int valid, int duplicate, int invalid, List<String> errors) {\r\n\r\n result.put(\"total\", total);\r\n result.put(\"valid\", valid);\r\n result.put(\"duplicate\", duplicate);\r\n result.put(\"invalid\", invalid);\r\n result.put(\"errors\", errors);\r\n\r\n // 添加成功标识\r\n result.put(\"success\", errors.isEmpty());\r\n if (!errors.isEmpty()) {\r\n result.put(\"message\", \"处理完成，但有错误\");\r\n } else {\r\n result.put(\"message\", \"处理成功\");\r\n }\r\n\r\n return result;\r\n }\r\n\r\n /**\r\n * 转换实体对象（包含唯一标识）\r\n */\r\n private List<TransactionDO> convertToEntitiesWithSign(List<TransactionDTO> dtos) {\r\n\r\n List<TransactionDO> entities = new ArrayList<>();\r\n Date now = new Date();\r\n\r\n for (TransactionDTO dto : dtos) {\r\n try {\r\n TransactionDO entity = new TransactionDO();\r\n\r\n // 1. 复制基础属性\r\n org.springframework.beans.BeanUtils.copyProperties(dto, entity);\r\n\r\n // 2. 设置唯一标识\r\n String uniqueSign = UniqueSignUtil.generateFromTransaction(dto);\r\n entity.setUniqueSign(uniqueSign);\r\n\r\n // 3. 设置批次信息（如果实体类有这些字段）\r\n // entity.setOriginalFilename(originalFilename);\r\n // entity.setImportBatchNo(importBatchNo);\r\n\r\n // 4. 设置时间\r\n // entity.setCreateTime(now);\r\n // entity.setUpdateTime(now);\r\n // entity.setUserName(ShiroUtils.getLoginName());\r\n\r\n entities.add(entity);\r\n\r\n } catch (Exception e) {\r\n log.error(\"转换实体对象失败: {}\", formatTransactionInfo(dto), e);\r\n throw new RuntimeException(\"数据转换失败: \" + e.getMessage(), e);\r\n }\r\n }\r\n\r\n log.debug(\"转换完成 {} 个实体对象\", entities.size());\r\n return entities;\r\n }\r\n\r\n\r\n @Override\r\n public Long createTransaction(TransactionSaveReqVO createReqVO) {\r\n // 插入\r\n TransactionDO transaction = BeanUtils.toBean(createReqVO, TransactionDO.class);\r\n transactionMapper.insert(transaction);\r\n\r\n // 返回\r\n return transaction.getId();\r\n }\r\n\r\n @Override\r\n public void updateTransaction(TransactionSaveReqVO updateReqVO) {\r\n // 校验存在\r\n validateTransactionExists(updateReqVO.getId());\r\n // 更新\r\n TransactionDO updateObj = BeanUtils.toBean(updateReqVO, TransactionDO.class);\r\n transactionMapper.updateById(updateObj);\r\n }\r\n\r\n @Override\r\n public void deleteTransaction(Long id) {\r\n // 校验存在\r\n validateTransactionExists(id);\r\n // 删除\r\n transactionMapper.deleteById(id);\r\n }\r\n\r\n @Override\r\n public void deleteTransactionListByIds(List<Long> ids) {\r\n // 删除\r\n transactionMapper.deleteByIds(ids);\r\n }\r\n\r\n\r\n private void validateTransactionExists(Long id) {\r\n if (transactionMapper.selectById(id) == null) {\r\n throw exception(TRANSACTION_NOT_EXISTS);\r\n }\r\n }\r\n\r\n @Override\r\n public TransactionDO getTransaction(Long id) {\r\n return transactionMapper.selectById(id);\r\n }\r\n\r\n @Override\r\n public PageResult<TransactionDO> getTransactionPage(TransactionPageReqVO pageReqVO) {\r\n return transactionMapper.selectPage(pageReqVO);\r\n }\r\n\r\n}"}],"isError":false,"timestamp":1778564724207}}
|
||
{"type":"message","id":"5354d4d9","parentId":"59267500","timestamp":"2026-05-12T05:45:24.207Z","message":{"role":"toolResult","toolCallId":"call_01_jyxXqLix4HCYBy4O6Xzh5757","toolName":"read","content":[{"type":"text","text":"package cn.iocoder.yudao.module.family.converter;\r\n\r\nimport cn.iocoder.yudao.module.family.converter.constants.AlipayConstants;\r\nimport cn.iocoder.yudao.module.family.converter.model.ConvertResult;\r\nimport cn.iocoder.yudao.module.family.converter.model.Transaction;\r\nimport cn.iocoder.yudao.module.family.utils.AmountParserUtil;\r\nimport cn.iocoder.yudao.module.family.utils.CsvParserUtil;\r\nimport cn.iocoder.yudao.module.family.utils.FileEncodingDetector;\r\nimport lombok.extern.slf4j.Slf4j;\r\nimport org.apache.commons.csv.CSVRecord;\r\nimport org.springframework.stereotype.Component;\r\nimport org.springframework.web.multipart.MultipartFile;\r\n\r\nimport java.io.IOException;\r\nimport java.math.BigDecimal;\r\nimport java.text.SimpleDateFormat;\r\nimport java.util.ArrayList;\r\nimport java.util.Collections;\r\nimport java.util.Date;\r\nimport java.util.HashMap;\r\nimport java.util.List;\r\nimport java.util.Map;\r\n\r\n/**\r\n * 支付宝CSV账单转换器\r\n * 更新：现在支付宝CSV文件标题在第一行（无前24行备注）\r\n */\r\n@Component\r\n@Slf4j\r\npublic class AlipayCSVConverter {\r\n\r\n // 支付宝CSV文件结构常量 - 更新版本\r\n private static final int HEADER_LINE = 1; // 第1行为标题行（1-based）\r\n private static final int DATA_START_LINE = 2; // 第2行开始为数据（1-based）\r\n\r\n /**\r\n * 转换支付宝CSV账单（新格式）\r\n */\r\n public ConvertResult<Transaction> convert(MultipartFile file) {\r\n ConvertResult<Transaction> result = new ConvertResult<>();\r\n List<Transaction> transactions = new ArrayList<>();\r\n List<String> errors = new ArrayList<>();\r\n Map<String, Object> metadata = new HashMap<>();\r\n\r\n if (file.isEmpty()) {\r\n result.setSuccess(false);\r\n result.setMessage(\"文件为空\");\r\n return result;\r\n }\r\n\r\n try {\r\n // 1. 检测编码和读取内容\r\n String content = readFileWithEncodingDetection(file);\r\n metadata.put(\"fileName\", file.getOriginalFilename());\r\n metadata.put(\"fileSize\", file.getSize());\r\n\r\n // 2. 解析CSV（不将第一行作为标题，我们需要手动处理）\r\n List<CSVRecord> allRecords = parseCSV(content);\r\n metadata.put(\"totalRows\", allRecords.size());\r\n\r\n if (allRecords.size() < HEADER_LINE) {\r\n result.setSuccess(false);\r\n result.setMessage(\"CSV文件行数不足，无法找到标题行\");\r\n return result;\r\n }\r\n\r\n // 3. 验证标题行（第1行）\r\n CSVRecord headerRecord = allRecords.get(HEADER_LINE - 1); // 转换为0-based索引\r\n List<String> actualHeaders = new ArrayList<>();\r\n for (String header : headerRecord) {\r\n actualHeaders.add(header.trim());\r\n }\r\n metadata.put(\"actualHeaders\", actualHeaders);\r\n\r\n // 验证标题行\r\n if (!validateHeaders(actualHeaders, errors, metadata)) {\r\n result.setSuccess(false);\r\n result.setMessage(\"CSV格式不符合支付宝账单格式\");\r\n result.setErrors(errors);\r\n result.setMetadata(metadata);\r\n return result;\r\n }\r\n\r\n // 4. 从第2行开始解析数据\r\n int validRows = 0;\r\n int skippedRows = 0;\r\n int errorRows = 0;\r\n\r\n for (int i = DATA_START_LINE - 1; i < allRecords.size(); i++) { // 转换为0-based索引\r\n CSVRecord record = allRecords.get(i);\r\n\r\n // 检查空行\r\n if (isEmptyRecord(record)) {\r\n skippedRows++;\r\n continue;\r\n }\r\n\r\n try {\r\n Transaction transaction = parseRecord(record, i + 1, actualHeaders);\r\n if (transaction != null) {\r\n transactions.add(transaction);\r\n validRows++;\r\n } else {\r\n errorRows++;\r\n errors.add(String.format(\"第%d行: 解析失败，数据不完整\", i + 1));\r\n }\r\n } catch (Exception e) {\r\n errorRows++;\r\n errors.add(String.format(\"第%d行: %s\", i + 1, e.getMessage()));\r\n log.warn(\"解析支付宝CSV第{}行失败: {}\", i + 1, e.getMessage());\r\n }\r\n }\r\n\r\n // 5. 设置结果\r\n result.setSuccess(true);\r\n result.setMessage(String.format(\"成功解析%d条记录，跳过%d行（含统计行），失败%d行\", validRows, skippedRows, errorRows));\r\n result.setTransactions(transactions);\r\n result.setErrors(errors);\r\n result.setMetadata(metadata);\r\n result.setTotalRows(allRecords.size());\r\n result.setValidRows(validRows);\r\n result.setSkippedRows(skippedRows); // 只包含跳过的统计行和空行\r\n result.setErrorRows(errorRows);\r\n\r\n log.info(\"支付宝CSV转换完成: {} 条有效记录\", validRows);\r\n\r\n } catch (Exception e) {\r\n log.error(\"转换支付宝CSV文件失败\", e);\r\n result.setSuccess(false);\r\n result.setMessage(\"文件解析失败: \" + e.getMessage());\r\n result.setErrors(Collections.singletonList(e.getMessage()));\r\n result.setMetadata(metadata);\r\n }\r\n\r\n return result;\r\n }\r\n\r\n /**\r\n * 检测文件编码并读取内容\r\n */\r\n private String readFileWithEncodingDetection(MultipartFile file) throws IOException {\r\n return FileEncodingDetector.readFileWithEncodingDetection(file);\r\n }\r\n\r\n /**\r\n * 解析CSV文件（不使用标题行，解析所有行）\r\n */\r\n private List<CSVRecord> parseCSV(String content) throws IOException {\r\n char delimiter = detectDelimiter(content);\r\n return CsvParserUtil.parseCsvWithoutHeader(content, delimiter);\r\n }\r\n\r\n /**\r\n * 检测CSV分隔符\r\n */\r\n private char detectDelimiter(String content) {\r\n // 获取第一行（用于检测分隔符）\r\n String firstLine = content.contains(\"\\n\") ? content.substring(0, content.indexOf(\"\\n\")) : content;\r\n\r\n int tabCount = countOccurrences(firstLine, '\\t');\r\n int commaCount = countOccurrences(firstLine, ',');\r\n int semicolonCount = countOccurrences(firstLine, ';');\r\n\r\n // 优先检查制表符（支付宝常用）\r\n if (tabCount > 0 && tabCount >= AlipayConstants.EXPECTED_HEADERS.length - 1) {\r\n return '\\t';\r\n }\r\n // 其次检查分号\r\n else if (semicolonCount > commaCount && semicolonCount >= AlipayConstants.EXPECTED_HEADERS.length - 1) {\r\n return ';';\r\n }\r\n // 默认使用逗号\r\n else {\r\n return ',';\r\n }\r\n }\r\n\r\n /**\r\n * 计算字符出现次数\r\n */\r\n private int countOccurrences(String str, char ch) {\r\n int count = 0;\r\n for (int i = 0; i < str.length(); i++) {\r\n if (str.charAt(i) == ch) {\r\n count++;\r\n }\r\n }\r\n return count;\r\n }\r\n\r\n /**\r\n * 验证标题行\r\n */\r\n private boolean validateHeaders(List<String> actualHeaders, List<String> errors, Map<String, Object> metadata) {\r\n // 记录验证结果\r\n List<Map<String, String>> headerValidation = new ArrayList<>();\r\n\r\n int matchCount = 0;\r\n for (int i = 0; i < Math.max(actualHeaders.size(), AlipayConstants.EXPECTED_HEADERS.length); i++) {\r\n String expected = i < AlipayConstants.EXPECTED_HEADERS.length ? AlipayConstants.EXPECTED_HEADERS[i] : \"\";\r\n String actual = i < actualHeaders.size() ? actualHeaders.get(i) : \"\";\r\n\r\n boolean matches = expected.equals(actual);\r\n if (matches) {\r\n matchCount++;\r\n }\r\n\r\n Map<String, String> validation = new HashMap<>();\r\n validation.put(\"expected\", expected);\r\n validation.put(\"actual\", actual);\r\n validation.put(\"matches\", String.valueOf(matches));\r\n headerValidation.add(validation);\r\n\r\n if (!matches && !expected.isEmpty()) {\r\n errors.add(String.format(\"第%d列应为'%s'，实际为'%s'\", i + 1, expected, actual));\r\n }\r\n }\r\n\r\n metadata.put(\"headerValidation\", headerValidation);\r\n metadata.put(\"headerMatchCount\", matchCount);\r\n metadata.put(\"headerMatchRate\", actualHeaders.size() > 0 ? (double) matchCount / AlipayConstants.EXPECTED_HEADERS.length : 0);\r\n\r\n // 如果匹配率超过80%，认为是有效的支付宝文件\r\n return matchCount >= AlipayConstants.EXPECTED_HEADERS.length * 0.8;\r\n }\r\n\r\n /**\r\n * 解析单行记录（根据标题行映射列）\r\n */\r\n private Transaction parseRecord(CSVRecord record, int rowNumber, List<String> headers) {\r\n Transaction transaction = new Transaction();\r\n\r\n // 创建列名到索引的映射\r\n Map<String, Integer> columnMap = new HashMap<>();\r\n for (int i = 0; i < headers.size(); i++) {\r\n columnMap.put(headers.get(i).trim(), i);\r\n }\r\n\r\n // 1. 交易时间\r\n String timeStr = getValueByHeader(record, columnMap, \"交易时间\");\r\n try {\r\n Date tradeTime = parseDate(timeStr);\r\n transaction.setTradeTime(tradeTime);\r\n } catch (Exception e) {\r\n log.warn(\"第{}行日期解析失败: {} - {}\", rowNumber, timeStr, e.getMessage());\r\n transaction.setTradeTime(null);\r\n }\r\n\r\n // 2. 交易分类\r\n transaction.setTradeType(getValueByHeader(record, columnMap, \"交易分类\"));\r\n\r\n // 3. 交易对方\r\n transaction.setCounterparty(getValueByHeader(record, columnMap, \"交易对方\"));\r\n\r\n // 5. 商品说明\r\n transaction.setProductDesc(getValueByHeader(record, columnMap, \"商品说明\"));\r\n\r\n // 6. 收/支\r\n String incomeExpense = getValueByHeader(record, columnMap, \"收/支\");\r\n transaction.setIncomeExpense(incomeExpense);\r\n\r\n // 7. 金额\r\n String amountStr = getValueByHeader(record, columnMap, \"金额\");\r\n try {\r\n BigDecimal amount = parseAmount(amountStr);\r\n transaction.setAmount(amount);\r\n } catch (Exception e) {\r\n throw new RuntimeException(\"金额格式错误: \" + amountStr);\r\n }\r\n\r\n // 8. 收/付款方式\r\n\r\n // 9. 交易状态\r\n\r\n // 10. 交易订单号\r\n transaction.setTradeOrderNo(getValueByHeader(record, columnMap, \"交易订单号\"));\r\n\r\n // 12. 备注\r\n transaction.setRemark(getValueByHeader(record, columnMap, \"备注\"));\r\n\r\n // 验证必要字段\r\n if (transaction.getTradeTime() == null || transaction.getAmount() == null) {\r\n return null;\r\n }\r\n\r\n return transaction;\r\n }\r\n\r\n /**\r\n * 根据标题名称获取值\r\n */\r\n private String getValueByHeader(CSVRecord record, Map<String, Integer> columnMap, String headerName) {\r\n return CsvParserUtil.getValueByHeader(record, columnMap, headerName);\r\n }\r\n\r\n /**\r\n * 智能日期解析方法\r\n */\r\n private Date parseDate(String dateStr) throws Exception {\r\n if (dateStr == null || dateStr.trim().isEmpty()) {\r\n return null;\r\n }\r\n\r\n String trimmedDate = dateStr.trim();\r\n\r\n // 1. 尝试常见格式\r\n String[] commonFormats = {\"yyyy/MM/dd HH:mm\", \"yyyy-MM-dd HH:mm\", \"yyyy-MM-dd HH:mm:ss\", \"yyyy/MM/dd HH:mm:ss\", \"yyyy年MM月dd日 HH:mm\", \"yyyy年MM月dd日 HH:mm:ss\"};\r\n\r\n for (String format : commonFormats) {\r\n try {\r\n SimpleDateFormat sdf = new SimpleDateFormat(format);\r\n sdf.setLenient(false);\r\n return sdf.parse(trimmedDate);\r\n } catch (Exception e) {\r\n continue;\r\n }\r\n }\r\n\r\n // 2. 尝试所有可能的格式\r\n for (Map.Entry<String, String> entry : AlipayConstants.DATE_FORMATS.entrySet()) {\r\n try {\r\n SimpleDateFormat sdf = new SimpleDateFormat(entry.getKey());\r\n sdf.setLenient(false);\r\n return sdf.parse(trimmedDate);\r\n } catch (Exception e) {\r\n continue;\r\n }\r\n }\r\n\r\n // 3. 尝试处理特殊字符或异常情况\r\n trimmedDate = cleanDateString(trimmedDate);\r\n\r\n // 再次尝试常见格式\r\n for (String format : commonFormats) {\r\n try {\r\n SimpleDateFormat sdf = new SimpleDateFormat(format);\r\n sdf.setLenient(false);\r\n return sdf.parse(trimmedDate);\r\n } catch (Exception e) {\r\n continue;\r\n }\r\n }\r\n\r\n // 4. 最后尝试宽松模式\r\n try {\r\n String[] parts = trimmedDate.split(\"\\\\s+\");\r\n if (parts.length >= 2) {\r\n String datePart = parts[0];\r\n String timePart = parts[1];\r\n\r\n // 标准化日期分隔符\r\n datePart = datePart.replace(\"/\", \"-\").replace(\".\", \"-\").replace(\"年\", \"-\").replace(\"月\", \"-\").replace(\"日\", \"\");\r\n timePart = timePart.length() == 5 ? timePart + \":00\" : timePart;\r\n\r\n String normalized = datePart + \" \" + timePart;\r\n SimpleDateFormat sdf = new SimpleDateFormat(\"yyyy-MM-dd HH:mm:ss\");\r\n sdf.setLenient(true);\r\n return sdf.parse(normalized);\r\n }\r\n } catch (Exception e) {\r\n // 忽略，继续下一步\r\n }\r\n\r\n throw new Exception(\"无法解析日期: \" + dateStr + \"，尝试了所有格式\");\r\n }\r\n\r\n /**\r\n * 清理日期字符串中的特殊字符\r\n */\r\n private String cleanDateString(String dateStr) {\r\n if (dateStr == null) return \"\";\r\n\r\n String cleaned = dateStr;\r\n cleaned = cleaned.replace(\"T\", \" \");\r\n cleaned = cleaned.replace(\"Z\", \"\");\r\n cleaned = cleaned.replace(\"上午\", \" AM \");\r\n cleaned = cleaned.replace(\"下午\", \" PM \");\r\n cleaned = cleaned.replace(\"AM\", \"\").replace(\"PM\", \"\").trim();\r\n cleaned = cleaned.replace(\" \", \" \");\r\n cleaned = cleaned.replace(\"年\", \"-\").replace(\"月\", \"-\").replace(\"日\", \"\");\r\n\r\n if (cleaned.matches(\".*\\\\d{2}:\\\\d{2}$\")) {\r\n cleaned = cleaned + \":00\";\r\n }\r\n\r\n return cleaned;\r\n }\r\n\r\n /**\r\n * 增强的金额解析\r\n */\r\n private BigDecimal parseAmount(String amountStr) {\r\n return AmountParserUtil.parseAmount(amountStr, \"CNY\");\r\n }\r\n\r\n /**\r\n * 检查是否为空记录\r\n */\r\n private boolean isEmptyRecord(CSVRecord record) {\r\n return CsvParserUtil.isEmptyRecord(record);\r\n }\r\n\r\n /**\r\n * 转换为统一中间格式\r\n */\r\n public Map<String, Object> toStandardFormat(ConvertResult<Transaction> convertResult) {\r\n Map<String, Object> standardData = new HashMap<>();\r\n\r\n standardData.put(\"source_type\", \"alipay\");\r\n standardData.put(\"convert_time\", new Date());\r\n standardData.put(\"convert_result\", convertResult.getMessage());\r\n\r\n List<Map<String, Object>> transactions = new ArrayList<>();\r\n for (Transaction tx : convertResult.getTransactions()) {\r\n Map<String, Object> record = new HashMap<>();\r\n record.put(\"trade_time\", tx.getTradeTime());\r\n record.put(\"trade_type\", tx.getTradeType());\r\n record.put(\"counterparty\", tx.getCounterparty());\r\n record.put(\"product_desc\", tx.getProductDesc());\r\n record.put(\"income_expense\", tx.getIncomeExpense());\r\n record.put(\"amount\", tx.getAmount());\r\n record.put(\"trade_order_no\", tx.getTradeOrderNo());\r\n record.put(\"remark\", tx.getRemark());\r\n\r\n transactions.add(record);\r\n }\r\n\r\n standardData.put(\"transactions\", transactions);\r\n standardData.put(\"metadata\", convertResult.getMetadata());\r\n standardData.put(\"statistics\", Map.of(\"total\", convertResult.getTotalRows(), \"valid\", convertResult.getValidRows(), \"skipped\", convertResult.getSkippedRows(), \"errors\", convertResult.getErrorRows()));\r\n\r\n return standardData;\r\n }\r\n}"}],"isError":false,"timestamp":1778564724207}}
|
||
{"type":"message","id":"dbf74db5","parentId":"5354d4d9","timestamp":"2026-05-12T05:45:24.207Z","message":{"role":"toolResult","toolCallId":"call_02_nlYmix0f0VW0baKEVYpR2019","toolName":"read","content":[{"type":"text","text":"package cn.iocoder.yudao.module.family.converter;\r\n\r\nimport cn.iocoder.yudao.module.family.converter.constants.WechatConstants;\r\nimport cn.iocoder.yudao.module.family.converter.model.ConvertResult;\r\nimport cn.iocoder.yudao.module.family.converter.model.Transaction;\r\nimport cn.iocoder.yudao.module.family.utils.ExcelCellUtil;\r\nimport cn.iocoder.yudao.module.family.utils.ExcelUtils;\r\nimport cn.iocoder.yudao.module.family.utils.TransactionCategoryUtils;\r\nimport lombok.extern.slf4j.Slf4j;\r\nimport org.apache.poi.ss.usermodel.Cell;\r\nimport org.apache.poi.ss.usermodel.Row;\r\nimport org.apache.poi.ss.usermodel.Sheet;\r\nimport org.apache.poi.ss.usermodel.Workbook;\r\nimport org.apache.poi.xssf.usermodel.XSSFWorkbook;\r\nimport org.springframework.stereotype.Component;\r\nimport org.springframework.web.multipart.MultipartFile;\r\n\r\nimport java.io.InputStream;\r\nimport java.math.BigDecimal;\r\nimport java.text.SimpleDateFormat;\r\nimport java.util.ArrayList;\r\nimport java.util.Collections;\r\nimport java.util.Date;\r\nimport java.util.HashMap;\r\nimport java.util.List;\r\nimport java.util.Map;\r\n\r\n/**\r\n * 微信Excel账单转换器（新版格式：标题行在第一行）\r\n * 特点：第一行就是标题行，第二行开始为数据\r\n */\r\n@Component\r\n@Slf4j\r\npublic class WechatExcelConverter {\r\n\r\n // 新版文件结构常量\r\n private static final int HEADER_ROW_NUM = 1; // 第1行为标题行（1-based）\r\n private static final int DATA_START_ROW = 2; // 第2行开始为数据（1-based）\r\n\r\n /**\r\n * 转换微信Excel账单（新版格式）\r\n *\r\n * @param file 上传的Excel文件\r\n * @return 转换结果\r\n */\r\n public ConvertResult<Transaction> convert(MultipartFile file) {\r\n ConvertResult<Transaction> result = new ConvertResult<>();\r\n List<Transaction> transactions = new ArrayList<>();\r\n List<String> errors = new ArrayList<>();\r\n Map<String, Object> metadata = new HashMap<>();\r\n\r\n if (file.isEmpty()) {\r\n result.setSuccess(false);\r\n result.setMessage(\"文件为空\");\r\n return result;\r\n }\r\n\r\n try (InputStream is = file.getInputStream(); Workbook workbook = new XSSFWorkbook(is)) {\r\n\r\n Sheet sheet = workbook.getSheetAt(0); // 第一个工作表\r\n int lastRowNum = sheet.getLastRowNum();\r\n\r\n // 元数据\r\n metadata.put(\"fileName\", file.getOriginalFilename());\r\n metadata.put(\"sheetName\", sheet.getSheetName());\r\n metadata.put(\"totalRows\", lastRowNum + 1);\r\n metadata.put(\"fileSize\", file.getSize());\r\n\r\n // 1. 验证标题行（第1行）\r\n if (!ExcelUtils.validateHeader(sheet.getRow(0), WechatConstants.EXPECTED_HEADERS, errors, metadata)) {\r\n result.setSuccess(false);\r\n result.setMessage(\"文件格式不符合微信账单格式\");\r\n result.setErrors(errors);\r\n result.setMetadata(metadata);\r\n return result;\r\n }\r\n\r\n // 2. 从第2行开始解析数据\r\n int validRows = 0;\r\n int skippedRows = 0;\r\n int errorRows = 0;\r\n\r\n for (int rowNum = DATA_START_ROW - 1; rowNum <= lastRowNum; rowNum++) {\r\n Row row = sheet.getRow(rowNum);\r\n if (row == null) {\r\n skippedRows++;\r\n continue;\r\n }\r\n\r\n // 检查是否为空行\r\n if (ExcelUtils.isEmptyRow(row)) {\r\n skippedRows++;\r\n continue;\r\n }\r\n\r\n try {\r\n Transaction transaction = parseRow(row, rowNum + 1);\r\n if (transaction != null) {\r\n transactions.add(transaction);\r\n validRows++;\r\n } else {\r\n errorRows++;\r\n errors.add(String.format(\"第%d行: 解析失败，数据不完整\", rowNum + 1));\r\n }\r\n } catch (Exception e) {\r\n errorRows++;\r\n errors.add(String.format(\"第%d行: %s\", rowNum + 1, e.getMessage()));\r\n log.warn(\"解析微信账单第{}行失败: {}\", rowNum + 1, e.getMessage());\r\n }\r\n }\r\n\r\n // 3. 设置结果\r\n result.setSuccess(true);\r\n result.setMessage(String.format(\"成功解析%d条记录，跳过%d行（含统计行），失败%d行\", validRows, skippedRows, errorRows));\r\n result.setTransactions(transactions);\r\n result.setErrors(errors);\r\n result.setMetadata(metadata);\r\n result.setTotalRows(lastRowNum + 1);\r\n result.setValidRows(validRows);\r\n result.setSkippedRows(skippedRows);\r\n result.setErrorRows(errorRows);\r\n\r\n log.info(\"微信账单转换完成: {} 条有效记录\", validRows);\r\n\r\n } catch (Exception e) {\r\n log.error(\"转换微信Excel文件失败\", e);\r\n result.setSuccess(false);\r\n result.setMessage(\"文件解析失败: \" + e.getMessage());\r\n result.setErrors(Collections.singletonList(e.getMessage()));\r\n result.setMetadata(metadata);\r\n }\r\n\r\n return result;\r\n }\r\n\r\n /**\r\n * 解析单行数据\r\n */\r\n private Transaction parseRow(Row row, int rowNumber) {\r\n Transaction transaction = new Transaction();\r\n\r\n // 1. 交易时间\r\n Cell timeCell = row.getCell(WechatConstants.ColumnIndex.TRADE_TIME);\r\n String timeStr = ExcelCellUtil.getCellValue(timeCell);\r\n\r\n try {\r\n Date tradeTime = parseDate(timeStr);\r\n transaction.setTradeTime(tradeTime);\r\n } catch (Exception e) {\r\n throw new RuntimeException(\"交易时间格式错误: \" + timeStr);\r\n }\r\n\r\n // 2. 交易类型\r\n transaction.setTradeType(ExcelCellUtil.getCellValue(row.getCell(WechatConstants.ColumnIndex.TRADE_TYPE)));\r\n\r\n // 3. 交易对方\r\n transaction.setCounterparty(ExcelCellUtil.getCellValue(row.getCell(WechatConstants.ColumnIndex.COUNTERPARTY)));\r\n\r\n // 4. 商品\r\n String value = ExcelCellUtil.getCellValue(row.getCell(WechatConstants.ColumnIndex.PRODUCT));\r\n String trimmed = value.replaceAll(\"收款方备注|转账备注\", \"\").replaceAll(\"[，。,.:;-]\", \"\").trim();\r\n transaction.setProductDesc(trimmed);\r\n\r\n transaction.setTradeType(TransactionCategoryUtils.categorizeTransaction(transaction));\r\n\r\n // 5. 收/支\r\n String incomeExpense = ExcelCellUtil.getCellValue(row.getCell(WechatConstants.ColumnIndex.INCOME_EXPENSE));\r\n transaction.setIncomeExpense(incomeExpense);\r\n\r\n // 6. 金额\r\n Cell amountCell = row.getCell(WechatConstants.ColumnIndex.AMOUNT);\r\n try {\r\n BigDecimal amount = parseAmount(ExcelCellUtil.getCellValue(amountCell));\r\n transaction.setAmount(amount);\r\n } catch (Exception e) {\r\n throw new RuntimeException(\"金额格式错误: \" + ExcelCellUtil.getCellValue(amountCell));\r\n }\r\n\r\n // 7. 支付方式\r\n\r\n // 8. 当前状态\r\n\r\n // 9. 交易单号\r\n transaction.setTradeOrderNo(ExcelCellUtil.getCellValue(row.getCell(WechatConstants.ColumnIndex.TRADE_ORDER_NO)));\r\n\r\n // 11. 备注\r\n transaction.setRemark(ExcelCellUtil.getCellValue(row.getCell(WechatConstants.ColumnIndex.REMARK)));\r\n\r\n // 验证必要字段\r\n if (transaction.getTradeTime() == null || transaction.getAmount() == null) {\r\n throw new RuntimeException(\"交易时间或金额不能为空\");\r\n }\r\n\r\n return transaction;\r\n }\r\n\r\n /**\r\n * 智能解析日期（支持多种格式）\r\n */\r\n private Date parseDate(String dateStr) {\r\n if (dateStr == null || dateStr.trim().isEmpty()) {\r\n return null;\r\n }\r\n\r\n // 清理日期字符串\r\n dateStr = dateStr.trim().replace(\".0\", \"\");\r\n\r\n // 1. 首先尝试微信常见格式\r\n String[] wechatFormats = {\"yyyy-MM-dd HH:mm:ss\", \"yyyy/MM/dd HH:mm:ss\", \"yyyy-MM-dd HH:mm\", \"yyyy/MM/dd HH:mm\", \"yyyy年MM月dd日 HH:mm:ss\", \"yyyy年MM月dd日 HH:mm\"};\r\n\r\n for (String format : wechatFormats) {\r\n try {\r\n SimpleDateFormat sdf = new SimpleDateFormat(format);\r\n sdf.setLenient(false);\r\n return sdf.parse(dateStr);\r\n } catch (Exception e) {\r\n continue;\r\n }\r\n }\r\n\r\n // 2. 尝试所有可能的格式\r\n for (String format : WechatConstants.DATE_FORMATS) {\r\n try {\r\n SimpleDateFormat sdf = new SimpleDateFormat(format);\r\n sdf.setLenient(false);\r\n return sdf.parse(dateStr);\r\n } catch (Exception e) {\r\n continue;\r\n }\r\n }\r\n\r\n // 3. 尝试解析为Excel日期序号\r\n try {\r\n double excelDateNum = Double.parseDouble(dateStr);\r\n // Excel日期从1900-01-01开始，要减去2天因为Excel的bug\r\n long javaDate = (long) ((excelDateNum - 25569) * 24 * 60 * 60 * 1000);\r\n return new Date(javaDate);\r\n } catch (Exception e) {\r\n // 不是数字格式，继续尝试\r\n }\r\n\r\n // 4. 最后尝试宽松解析\r\n try {\r\n // 尝试提取日期部分\r\n String normalized = dateStr.replace(\"T\", \" \").replace(\"Z\", \"\").replace(\"年\", \"-\").replace(\"月\", \"-\").replace(\"日\", \"\").replace(\"/\", \"-\");\r\n\r\n SimpleDateFormat sdf = new SimpleDateFormat(\"yyyy-MM-dd HH:mm:ss\");\r\n sdf.setLenient(true);\r\n return sdf.parse(normalized);\r\n } catch (Exception e) {\r\n throw new RuntimeException(\"无法解析日期: \" + dateStr);\r\n }\r\n }\r\n\r\n /**\r\n * 增强的金额解析\r\n */\r\n private BigDecimal parseAmount(String amountStr) {\r\n if (amountStr == null || amountStr.trim().isEmpty()) {\r\n return BigDecimal.ZERO;\r\n }\r\n\r\n // 移除常见的干扰字符\r\n String cleaned = amountStr.replace(\",\", \"\").replace(\"¥\", \"\").replace(\"￥\", \"\").replace(\"$\", \"\").replace(\"€\", \"\").replace(\"（元）\", \"\").replace(\"元\", \"\").replace(\" \", \"\").trim();\r\n\r\n // 检查是否为负数（用括号或负号表示）\r\n boolean isNegative = cleaned.startsWith(\"(\") && cleaned.endsWith(\")\") || cleaned.startsWith(\"-\") || cleaned.endsWith(\"-\");\r\n\r\n if (cleaned.startsWith(\"(\") && cleaned.endsWith(\")\")) {\r\n cleaned = cleaned.substring(1, cleaned.length() - 1);\r\n }\r\n\r\n if (cleaned.startsWith(\"-\")) {\r\n cleaned = cleaned.substring(1);\r\n }\r\n\r\n try {\r\n BigDecimal amount = new BigDecimal(cleaned);\r\n // 修改点：无论正负，都返回正数\r\n return amount.abs(); // 使用绝对值\r\n } catch (Exception e) {\r\n // 尝试移除更多非数字字符\r\n cleaned = cleaned.replaceAll(\"[^\\\\d.-]\", \"\");\r\n try {\r\n BigDecimal amount = new BigDecimal(cleaned);\r\n // 修改点：无论正负，都返回正数\r\n return amount.abs(); // 使用绝对值\r\n } catch (Exception e2) {\r\n throw new RuntimeException(\"金额格式错误: \" + amountStr);\r\n }\r\n }\r\n }\r\n\r\n /**\r\n * 转换为统一中间格式\r\n */\r\n public Map<String, Object> toStandardFormat(ConvertResult<Transaction> convertResult) {\r\n Map<String, Object> standardData = new HashMap<>();\r\n\r\n standardData.put(\"source_type\", \"wechat\");\r\n standardData.put(\"convert_time\", new Date());\r\n standardData.put(\"convert_result\", convertResult.getMessage());\r\n\r\n // 转换交易记录\r\n List<Map<String, Object>> transactions = new ArrayList<>();\r\n for (Transaction tx : convertResult.getTransactions()) {\r\n Map<String, Object> record = new HashMap<>();\r\n record.put(\"trade_time\", tx.getTradeTime());\r\n record.put(\"trade_type\", tx.getTradeType());\r\n record.put(\"counterparty\", tx.getCounterparty());\r\n record.put(\"product_desc\", tx.getProductDesc());\r\n record.put(\"income_expense\", tx.getIncomeExpense());\r\n record.put(\"amount\", tx.getAmount());\r\n record.put(\"trade_order_no\", tx.getTradeOrderNo());\r\n record.put(\"remark\", tx.getRemark());\r\n\r\n transactions.add(record);\r\n }\r\n\r\n standardData.put(\"transactions\", transactions);\r\n standardData.put(\"metadata\", convertResult.getMetadata());\r\n standardData.put(\"statistics\", Map.of(\"total\", convertResult.getTotalRows(), \"valid\", convertResult.getValidRows(), \"skipped\", convertResult.getSkippedRows(), \"errors\", convertResult.getErrorRows()));\r\n\r\n return standardData;\r\n }\r\n}"}],"isError":false,"timestamp":1778564724207}}
|
||
{"type":"message","id":"2aba5dee","parentId":"dbf74db5","timestamp":"2026-05-12T05:45:24.208Z","message":{"role":"toolResult","toolCallId":"call_03_8NTSSaaPeRoQPiUfwXBU1673","toolName":"read","content":[{"type":"text","text":"package cn.iocoder.yudao.module.family.converter;\r\n\r\n\r\nimport cn.hutool.core.util.StrUtil;\r\nimport cn.iocoder.yudao.module.family.converter.constants.CmbConstants;\r\nimport cn.iocoder.yudao.module.family.converter.model.ConvertResult;\r\nimport cn.iocoder.yudao.module.family.converter.model.Transaction;\r\nimport lombok.extern.slf4j.Slf4j;\r\nimport org.apache.pdfbox.pdmodel.PDDocument;\r\nimport org.apache.pdfbox.text.PDFTextStripper;\r\nimport org.springframework.stereotype.Component;\r\nimport org.springframework.web.multipart.MultipartFile;\r\n\r\nimport java.io.InputStream;\r\nimport java.math.BigDecimal;\r\nimport java.text.SimpleDateFormat;\r\nimport java.util.ArrayList;\r\nimport java.util.Calendar;\r\nimport java.util.Collections;\r\nimport java.util.Date;\r\nimport java.util.HashMap;\r\nimport java.util.List;\r\nimport java.util.Map;\r\nimport java.util.regex.Matcher;\r\nimport java.util.regex.Pattern;\r\n\r\n/**\r\n * 招商银行信用卡PDF账单转换器\r\n * 格式：交易日 记账日 交易摘要 人民币金额 卡号末四位 交易地金额\r\n * 示例：12/24 12/25 美团支付-大众点评App回味鸭血粉丝汤 19.90 3709 19.90(CN)\r\n */\r\n@Component\r\n@Slf4j\r\npublic class CmbCreditCardPDFConverter {\r\n\r\n // 标题行关键词（用于识别数据开始位置）\r\n private static final String[] TITLE_KEYWORDS = {\"交易日\", \"记账日\", \"交易摘要\", \"人民币金额\", \"卡号末四位\", \"交易地金额\", \"Trans\", \"Date\", \"Post\", \"Date\", \"Description\", \"RMB\", \"Amount\", \"Card\", \"Number\", \"Original\", \"Trans\", \"Amount\"};\r\n\r\n // 消费子标题关键词\r\n private static final String[] CONSUMPTION_SUBTITLE = {\"消费\", \"消费明细\", \"消费记录\"};\r\n\r\n // 其他可能的子标题\r\n private static final String[] OTHER_SUBTITLES = {\"取现\", \"还款\", \"分期\", \"利息\", \"费用\", \"退款\"};\r\n\r\n /**\r\n * 转换招商银行信用卡PDF账单\r\n */\r\n public ConvertResult<Transaction> convert(MultipartFile file) {\r\n ConvertResult<Transaction> result = new ConvertResult<>();\r\n List<Transaction> transactions = new ArrayList<>();\r\n List<String> errors = new ArrayList<>();\r\n Map<String, Object> metadata = new HashMap<>();\r\n\r\n if (file.isEmpty()) {\r\n result.setSuccess(false);\r\n result.setMessage(\"文件为空\");\r\n return result;\r\n }\r\n\r\n try (InputStream is = file.getInputStream(); PDDocument document = PDDocument.load(is)) {\r\n\r\n metadata.put(\"fileName\", file.getOriginalFilename());\r\n metadata.put(\"pageCount\", document.getNumberOfPages());\r\n metadata.put(\"fileSize\", file.getSize());\r\n\r\n // 1. 提取整个PDF文本（用于验证格式）\r\n String fullText = extractFullText(document);\r\n metadata.put(\"textLength\", fullText.length());\r\n\r\n // 2. 验证是否招行信用卡账单\r\n if (!isCmbCreditCardStatement(fullText)) {\r\n result.setSuccess(false);\r\n result.setMessage(\"文件不是招商银行信用卡账单格式\");\r\n result.setMetadata(metadata);\r\n return result;\r\n }\r\n\r\n // 3. 提取原始行数据\r\n List<String> rawLines = extractRawLines(document);\r\n metadata.put(\"rawLineCount\", rawLines.size());\r\n\r\n // 4. 处理并合并交易数据\r\n List<String> transactionLines = processTransactionLines(rawLines, metadata);\r\n\r\n if (transactionLines.isEmpty()) {\r\n result.setSuccess(false);\r\n result.setMessage(\"未找到交易数据\");\r\n result.setErrors(errors);\r\n result.setMetadata(metadata);\r\n return result;\r\n }\r\n\r\n // 5. 解析每行数据\r\n int validRows = 0;\r\n int skippedRows = 0;\r\n int errorRows = 0;\r\n\r\n for (int i = 0; i < transactionLines.size(); i++) {\r\n String rowText = transactionLines.get(i);\r\n\r\n // 跳过空行\r\n if (rowText.trim().isEmpty()) {\r\n skippedRows++;\r\n continue;\r\n }\r\n\r\n try {\r\n Transaction transaction = parseCreditCardTransaction(rowText, i + 1);\r\n if (transaction != null) {\r\n // 从交易摘要中提取交易类型\r\n extractTransactionType(transaction);\r\n transactions.add(transaction);\r\n validRows++;\r\n } else {\r\n errorRows++;\r\n errors.add(String.format(\"第%d行: 解析失败，内容: %s\", i + 1, rowText.length() > 50 ? rowText.substring(0, 50) + \"...\" : rowText));\r\n }\r\n } catch (Exception e) {\r\n errorRows++;\r\n errors.add(String.format(\"第%d行: %s，内容: %s\", i + 1, e.getMessage(), rowText.length() > 50 ? rowText.substring(0, 50) + \"...\" : rowText));\r\n log.warn(\"解析招行信用卡PDF第{}行失败: {}\", i + 1, e.getMessage());\r\n }\r\n }\r\n\r\n // 6. 设置结果\r\n result.setSuccess(true);\r\n result.setMessage(String.format(\"成功解析%d条记录，跳过%d行，失败%d行\", validRows, skippedRows, errorRows));\r\n result.setTransactions(transactions);\r\n result.setErrors(errors);\r\n result.setMetadata(metadata);\r\n result.setTotalRows(transactionLines.size());\r\n result.setValidRows(validRows);\r\n result.setSkippedRows(skippedRows);\r\n result.setErrorRows(errorRows);\r\n\r\n log.info(\"招商银行信用卡PDF转换完成: {} 条记录\", validRows);\r\n\r\n } catch (Exception e) {\r\n log.error(\"转换招商银行信用卡PDF文件失败\", e);\r\n result.setSuccess(false);\r\n result.setMessage(\"文件解析失败: \" + e.getMessage());\r\n result.setErrors(Collections.singletonList(e.getMessage()));\r\n result.setMetadata(metadata);\r\n }\r\n\r\n return result;\r\n }\r\n\r\n /**\r\n * 处理并合并交易数据行\r\n */\r\n private List<String> processTransactionLines(List<String> rawLines, Map<String, Object> metadata) {\r\n List<String> transactionLines = new ArrayList<>();\r\n int dataStartIndex = -1;\r\n boolean inTransactionSection = false;\r\n String currentSubtitle = \"\";\r\n\r\n log.info(\"开始处理信用卡交易数据，原始行数: {}\", rawLines.size());\r\n\r\n for (int i = 0; i < rawLines.size(); i++) {\r\n String line = rawLines.get(i).trim();\r\n\r\n // 跳过完全空的行\r\n if (line.isEmpty()) {\r\n continue;\r\n }\r\n\r\n log.debug(\"处理第{}行: {}\", i + 1, line.length() > 50 ? line.substring(0, 50) + \"...\" : line);\r\n\r\n // 1. 检查是否是标题行\r\n if (isTitleLine(line)) {\r\n log.debug(\"找到标题行: {}\", line);\r\n dataStartIndex = i + 1; // 数据从标题行下一行开始\r\n metadata.put(\"titleFoundAtLine\", i + 1);\r\n continue;\r\n }\r\n\r\n // 2. 检查是否是子标题（如\"消费\"）\r\n if (isSubtitleLine(line)) {\r\n currentSubtitle = line.replace(\" \", \"\").trim();\r\n inTransactionSection = true;\r\n log.debug(\"进入子标题区域: {}\", currentSubtitle);\r\n metadata.put(\"subtitleFound\", currentSubtitle);\r\n continue;\r\n }\r\n\r\n // 3. 如果在交易区域且数据开始位置已确定\r\n if (inTransactionSection && i >= dataStartIndex && dataStartIndex != -1) {\r\n // 检查是否是交易行（以日期开头: MM/DD 格式）\r\n if (isCreditCardTransactionLine(line)) {\r\n // 处理可能的换行情况\r\n String transactionLine = line;\r\n\r\n // 检查下一行是否也是交易行（可能是多行摘要）\r\n if (i + 1 < rawLines.size()) {\r\n String nextLine = rawLines.get(i + 1).trim();\r\n if (!nextLine.isEmpty() && !isSubtitleLine(nextLine) && !isTitleLine(nextLine)) {\r\n // 如果下一行不是标题/子标题，可能是交易摘要的续行\r\n if (!isCreditCardTransactionLine(nextLine)) {\r\n transactionLine = line + \" \" + nextLine;\r\n i++; // 跳过下一行\r\n log.debug(\"合并多行交易摘要: {}\", transactionLine);\r\n }\r\n }\r\n }\r\n\r\n transactionLines.add(transactionLine);\r\n log.debug(\"添加交易行: {}\", transactionLine);\r\n }\r\n // 检查是否是新的子标题（结束当前交易区域）\r\n else if (isSubtitleLine(line)) {\r\n currentSubtitle = line.replace(\" \", \"\").trim();\r\n log.debug(\"切换到新子标题: {}\", currentSubtitle);\r\n }\r\n // 检查是否是其他非交易行（如分页符、总计等）\r\n else if (isNonTransactionLine(line)) {\r\n log.debug(\"跳过非交易行: {}\", line);\r\n }\r\n }\r\n }\r\n\r\n metadata.put(\"transactionLineCount\", transactionLines.size());\r\n metadata.put(\"dataStartIndex\", dataStartIndex);\r\n\r\n // 记录样本用于调试\r\n if (!transactionLines.isEmpty()) {\r\n List<String> samples = new ArrayList<>();\r\n int sampleSize = Math.min(5, transactionLines.size());\r\n for (int i = 0; i < sampleSize; i++) {\r\n String tx = transactionLines.get(i);\r\n samples.add(tx.length() > 100 ? tx.substring(0, 100) + \"...\" : tx);\r\n }\r\n metadata.put(\"transactionSamples\", samples);\r\n }\r\n\r\n log.info(\"处理完成: {} 条交易记录\", transactionLines.size());\r\n return transactionLines;\r\n }\r\n\r\n /**\r\n * 判断是否是标题行\r\n */\r\n private boolean isTitleLine(String line) {\r\n if (line == null || line.trim().isEmpty()) {\r\n return false;\r\n }\r\n\r\n String lowerLine = line.toLowerCase();\r\n\r\n // 检查中文标题关键词\r\n for (String keyword : TITLE_KEYWORDS) {\r\n if (line.contains(keyword)) {\r\n // 确保不是交易数据（交易数据可能包含\"日期\"等词）\r\n if (!isCreditCardTransactionLine(line)) {\r\n return true;\r\n }\r\n }\r\n }\r\n\r\n return false;\r\n }\r\n\r\n /**\r\n * 判断是否是子标题行\r\n */\r\n private boolean isSubtitleLine(String line) {\r\n if (line == null || line.trim().isEmpty()) {\r\n return false;\r\n }\r\n\r\n String cleanedLine = line.replace(\" \", \"\").trim();\r\n\r\n // 检查消费子标题\r\n for (String subtitle : CONSUMPTION_SUBTITLE) {\r\n if (cleanedLine.equals(subtitle) || cleanedLine.contains(subtitle)) {\r\n return true;\r\n }\r\n }\r\n\r\n // 检查其他子标题\r\n for (String subtitle : OTHER_SUBTITLES) {\r\n if (cleanedLine.equals(subtitle) || cleanedLine.contains(subtitle)) {\r\n return true;\r\n }\r\n }\r\n\r\n return false;\r\n }\r\n\r\n /**\r\n * 判断是否是信用卡交易行\r\n */\r\n private boolean isCreditCardTransactionLine(String line) {\r\n if (line == null || line.length() < 5) {\r\n return false;\r\n }\r\n\r\n // 信用卡交易行的特征：以日期开头（MM/DD格式）\r\n String trimmed = line.trim();\r\n\r\n // 检查是否以日期模式开头：MM/DD 或 M/D\r\n if (trimmed.matches(\"^\\\\d{1,2}/\\\\d{1,2}.*\")) {\r\n // 进一步验证：应该包含金额数字\r\n return containsAmountPattern(trimmed);\r\n }\r\n\r\n // 或者以特殊空格开头（示例中的\" 12/24\"）\r\n if (trimmed.startsWith(\" \") && trimmed.length() > 1) {\r\n String withoutSpace = trimmed.substring(1).trim();\r\n return withoutSpace.matches(\"^\\\\d{1,2}/\\\\d{1,2}.*\") && containsAmountPattern(withoutSpace);\r\n }\r\n\r\n return false;\r\n }\r\n\r\n /**\r\n * 检查是否包含金额模式\r\n */\r\n private boolean containsAmountPattern(String text) {\r\n // 匹配金额模式：数字+小数点+两位数字\r\n Pattern amountPattern = Pattern.compile(\"\\\\d+\\\\.\\\\d{2}\");\r\n Matcher matcher = amountPattern.matcher(text);\r\n return matcher.find();\r\n }\r\n\r\n /**\r\n * 判断是否是非交易行\r\n */\r\n private boolean isNonTransactionLine(String line) {\r\n if (line == null || line.isEmpty()) {\r\n return true;\r\n }\r\n\r\n // 分页符、总计、页码等\r\n String[] nonTransactionKeywords = {\"页\", \"共\", \"第\", \"总计\", \"合计\", \"小计\", \"Total\", \"Summary\"};\r\n for (String keyword : nonTransactionKeywords) {\r\n\n⚠️ [... middle content omitted — showing head and tail ...]\n\n // } else {\r\n // // 默认使用交易摘要的前20个字符作为交易类型\r\n // transaction.setTradeType(summary.length() > 20 ? summary.substring(0, 20) + \"...\" : summary);\r\n // }\r\n\r\n // 交易摘要中提取交易对方\r\n String[] split = summary.split(\"-\");\r\n if (split.length > 1) {\r\n transaction.setTradeType(split[0]);\r\n transaction.setCounterparty(split[1]);\r\n } else {\r\n transaction.setCounterparty(summary.replaceAll(\"[，。,.;-]\", \"\").trim());\r\n transaction.setTradeType(summary.replaceAll(\"[，。,.;-]\", \"\").trim());\r\n }\r\n\r\n if (StrUtil.isEmpty(transaction.getTradeType())) {\r\n transaction.setTradeType(summary.replaceAll(\"[，。,.;-]\", \"\").trim());\r\n }\r\n }\r\n\r\n /**\r\n * 验证是否招行信用卡账单\r\n */\r\n private boolean isCmbCreditCardStatement(String text) {\r\n String[] keywords = {\"招商银行信用卡\", \"CMB Credit Card\", \"信用卡账单\", \"信用卡交易明细\", \"Credit Card Statement\"};\r\n\r\n String[] requiredKeywords = {\"招商银行\", \"信用卡\"};\r\n int requiredCount = 0;\r\n int totalCount = 0;\r\n\r\n for (String keyword : requiredKeywords) {\r\n if (text.contains(keyword)) {\r\n requiredCount++;\r\n totalCount++;\r\n }\r\n }\r\n\r\n for (String keyword : keywords) {\r\n if (text.contains(keyword)) {\r\n totalCount++;\r\n }\r\n }\r\n\r\n return requiredCount >= 1 && totalCount >= 2;\r\n }\r\n\r\n /**\r\n * 提取原始行数据\r\n */\r\n private List<String> extractRawLines(PDDocument document) throws Exception {\r\n List<String> allLines = new ArrayList<>();\r\n PDFTextStripper stripper = new PDFTextStripper();\r\n stripper.setSortByPosition(true);\r\n\r\n for (int pageNum = 0; pageNum < document.getNumberOfPages(); pageNum++) {\r\n stripper.setStartPage(pageNum + 1);\r\n stripper.setEndPage(pageNum + 1);\r\n String pageText = stripper.getText(document);\r\n String[] lines = pageText.split(\"\\n\");\r\n\r\n for (String line : lines) {\r\n // 清理每行，移除开头结尾空格\r\n String cleanedLine = line.trim();\r\n if (!cleanedLine.isEmpty()) {\r\n allLines.add(cleanedLine);\r\n }\r\n }\r\n }\r\n\r\n return allLines;\r\n }\r\n\r\n /**\r\n * 提取整个PDF文本\r\n */\r\n private String extractFullText(PDDocument document) throws Exception {\r\n PDFTextStripper stripper = new PDFTextStripper();\r\n stripper.setSortByPosition(true);\r\n return stripper.getText(document);\r\n }\r\n\r\n /**\r\n * 转换为统一中间格式\r\n */\r\n public Map<String, Object> toStandardFormat(ConvertResult<Transaction> convertResult) {\r\n Map<String, Object> standardData = new HashMap<>();\r\n\r\n standardData.put(\"source_type\", \"cmb_credit_card\");\r\n standardData.put(\"convert_time\", new Date());\r\n standardData.put(\"convert_result\", convertResult.getMessage());\r\n\r\n List<Map<String, Object>> transactions = new ArrayList<>();\r\n for (Transaction tx : convertResult.getTransactions()) {\r\n Map<String, Object> record = new HashMap<>();\r\n record.put(\"trade_time\", tx.getTradeTime());\r\n record.put(\"amount\", tx.getAmount());\r\n record.put(\"trade_type\", tx.getTradeType());\r\n record.put(\"counterparty\", tx.getCounterparty());\r\n record.put(\"income_expense\", tx.getIncomeExpense());\r\n record.put(\"product_desc\", tx.getProductDesc());\r\n\r\n transactions.add(record);\r\n }\r\n\r\n standardData.put(\"transactions\", transactions);\r\n standardData.put(\"metadata\", convertResult.getMetadata());\r\n standardData.put(\"statistics\", Map.of(\"total\", convertResult.getTotalRows(), \"valid\", convertResult.getValidRows(), \"skipped\", convertResult.getSkippedRows(), \"errors\", convertResult.getErrorRows()));\r\n\r\n return standardData;\r\n }\r\n}[... 9013 more characters truncated]"}],"isError":false,"timestamp":1778564724207}}
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{"type":"message","id":"e350622a","parentId":"2aba5dee","timestamp":"2026-05-12T05:45:28.862Z","message":{"role":"assistant","content":[{"type":"text","text":"Now let me read the remaining converter files:"},{"type":"toolCall","id":"call_00_clApPxzoknuERi7i4vJB6107","name":"read","arguments":{"path":"/home/yangxuan/Projects/IdeaProjects/ruoyi-vue-pro/yudao-module-family/src/main/java/cn/iocoder/yudao/module/family/converter/CmbCsvConverter.java"}},{"type":"toolCall","id":"call_01_tsE0pJdCX7rOCFsgr3iL8713","name":"read","arguments":{"path":"/home/yangxuan/Projects/IdeaProjects/ruoyi-vue-pro/yudao-module-family/src/main/java/cn/iocoder/yudao/module/family/converter/JdCsvConverter.java"}},{"type":"toolCall","id":"call_02_TqAOVg1tfd9aiQey2BBt9222","name":"read","arguments":{"path":"/home/yangxuan/Projects/IdeaProjects/ruoyi-vue-pro/yudao-module-family/src/main/java/cn/iocoder/yudao/module/family/converter/MeituanCsvConverter.java"}},{"type":"toolCall","id":"call_03_l9pTJPn6iHWbCQP120Si0833","name":"read","arguments":{"path":"/home/yangxuan/Projects/IdeaProjects/ruoyi-vue-pro/yudao-module-family/src/main/java/cn/iocoder/yudao/module/family/converter/DouyinExcelConverter.java"}},{"type":"toolCall","id":"call_04_h8g5LHSRzKU9HVgpaliz7079","name":"read","arguments":{"path":"/home/yangxuan/Projects/IdeaProjects/ruoyi-vue-pro/yudao-module-family/src/main/java/cn/iocoder/yudao/module/family/converter/PSBCBankExcelConverter.java"}},{"type":"toolCall","id":"call_05_07ltrdIwwdGiDsTrmp6c7829","name":"read","arguments":{"path":"/home/yangxuan/Projects/IdeaProjects/ruoyi-vue-pro/yudao-module-family/src/main/java/cn/iocoder/yudao/module/family/converter/ICBCBankExcelConverter.java"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":19085,"output":475,"cacheRead":15744,"cacheWrite":0,"totalTokens":35304,"cost":{"input":0.019084999999999998,"output":0.00095,"cacheRead":0,"cacheWrite":0,"total":0.020034999999999997}},"stopReason":"toolUse","timestamp":1778564724208,"responseId":"da491c1b-cb8e-4ce7-92f6-ccf343389f3b","responseModel":"deepseek-v4-flash"}}
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{"type":"message","id":"6688ce8d","parentId":"e350622a","timestamp":"2026-05-12T05:45:28.877Z","message":{"role":"toolResult","toolCallId":"call_00_clApPxzoknuERi7i4vJB6107","toolName":"read","content":[{"type":"text","text":"package cn.iocoder.yudao.module.family.converter;\r\n\r\nimport cn.hutool.core.util.StrUtil;\r\nimport cn.iocoder.yudao.module.family.converter.constants.CmbCsvConstants;\r\nimport cn.iocoder.yudao.module.family.converter.model.ConvertResult;\r\nimport cn.iocoder.yudao.module.family.converter.model.Transaction;\r\nimport cn.iocoder.yudao.module.family.utils.AmountParserUtil;\r\nimport cn.iocoder.yudao.module.family.utils.CsvParserUtil;\r\nimport cn.iocoder.yudao.module.family.utils.FileEncodingDetector;\r\nimport cn.iocoder.yudao.module.family.utils.TransactionCategoryUtils;\r\nimport lombok.extern.slf4j.Slf4j;\r\nimport org.apache.commons.csv.CSVRecord;\r\nimport org.springframework.stereotype.Component;\r\nimport org.springframework.web.multipart.MultipartFile;\r\n\r\nimport java.io.IOException;\r\nimport java.math.BigDecimal;\r\nimport java.text.SimpleDateFormat;\r\nimport java.util.ArrayList;\r\nimport java.util.Collections;\r\nimport java.util.Date;\r\nimport java.util.HashMap;\r\nimport java.util.List;\r\nimport java.util.Map;\r\n\r\n/**\r\n * 招商银行CSV账单转换器（标题行在第一行）\r\n * 新版格式：标题行在第一行，无前置备注行\r\n * 支持格式：\r\n * 1. 标题行：交易日期,交易时间,收入,支出,余额,交易类型,交易备注\r\n * 2. 内容示例：\"20251231\" \"20:43:41\" \"\" \"2.5\" \"494.16\" \"银联在线支付\" \"银联在线支付，（特约）杭州青奇科技有限公司\"\r\n */\r\n@Component\r\n@Slf4j\r\npublic class CmbCsvConverter {\r\n\r\n // 新版文件结构常量\r\n private static final int HEADER_LINE = 1; // 第1行为标题行（1-based）\r\n private static final int DATA_START_LINE = 2; // 第2行开始为数据（1-based）\r\n\r\n /**\r\n * 转换招商银行CSV账单（新版格式）\r\n */\r\n public ConvertResult<Transaction> convert(MultipartFile file) {\r\n ConvertResult<Transaction> result = new ConvertResult<>();\r\n List<Transaction> transactions = new ArrayList<>();\r\n List<String> errors = new ArrayList<>();\r\n Map<String, Object> metadata = new HashMap<>();\r\n\r\n if (file.isEmpty()) {\r\n result.setSuccess(false);\r\n result.setMessage(\"文件为空\");\r\n return result;\r\n }\r\n\r\n try {\r\n // 1. 检测编码和读取内容\r\n String content = readFileWithEncodingDetection(file);\r\n metadata.put(\"fileName\", file.getOriginalFilename());\r\n metadata.put(\"fileSize\", file.getSize());\r\n\r\n // 2. 解析CSV\r\n List<CSVRecord> allRecords = parseCSV(content);\r\n metadata.put(\"totalRows\", allRecords.size());\r\n\r\n if (allRecords.size() < HEADER_LINE) {\r\n result.setSuccess(false);\r\n result.setMessage(\"CSV文件行数不足，无法找到标题行\");\r\n return result;\r\n }\r\n\r\n // 3. 验证标题行（第1行）\r\n CSVRecord headerRecord = allRecords.get(HEADER_LINE - 1); // 转换为0-based索引\r\n List<String> actualHeaders = extractHeaders(headerRecord);\r\n metadata.put(\"actualHeaders\", actualHeaders);\r\n\r\n if (!validateHeaders(actualHeaders, errors, metadata)) {\r\n result.setSuccess(false);\r\n result.setMessage(\"CSV格式不符合招商银行账单格式\");\r\n result.setErrors(errors);\r\n result.setMetadata(metadata);\r\n return result;\r\n }\r\n\r\n // 5. 从第2行开始解析数据\r\n int validRows = 0;\r\n int skippedRows = 0;\r\n int errorRows = 0;\r\n\r\n for (int i = DATA_START_LINE - 1; i < allRecords.size(); i++) { // 转换为0-based索引\r\n CSVRecord record = allRecords.get(i);\r\n\r\n // 检查空行\r\n if (CsvParserUtil.isEmptyRecord(record)) {\r\n skippedRows++;\r\n continue;\r\n }\r\n\r\n try {\r\n Transaction transaction = parseRecord(record, i + 1, actualHeaders);\r\n if (transaction != null) {\r\n transactions.add(transaction);\r\n validRows++;\r\n } else {\r\n errorRows++;\r\n errors.add(String.format(\"第%d行: 解析失败，数据不完整\", i + 1));\r\n }\r\n } catch (Exception e) {\r\n errorRows++;\r\n errors.add(String.format(\"第%d行: %s\", i + 1, e.getMessage()));\r\n log.warn(\"解析招行CSV第{}行失败: {}\", i + 1, e.getMessage());\r\n }\r\n }\r\n\r\n // 6. 设置结果\r\n result.setSuccess(true);\r\n result.setMessage(String.format(\"成功解析%d条记录，跳过%d行（含统计行），失败%d行\", validRows, skippedRows, errorRows));\r\n result.setTransactions(transactions);\r\n result.setErrors(errors);\r\n result.setMetadata(metadata);\r\n result.setTotalRows(allRecords.size());\r\n result.setValidRows(validRows);\r\n result.setSkippedRows(skippedRows);\r\n result.setErrorRows(errorRows);\r\n\r\n log.info(\"招商银行CSV转换完成: {} 条有效记录\", validRows);\r\n\r\n } catch (Exception e) {\r\n log.error(\"转换招商银行CSV文件失败\", e);\r\n result.setSuccess(false);\r\n result.setMessage(\"文件解析失败: \" + e.getMessage());\r\n result.setErrors(Collections.singletonList(e.getMessage()));\r\n result.setMetadata(metadata);\r\n }\r\n\r\n return result;\r\n }\r\n\r\n /**\r\n * 检测文件编码并读取内容\r\n */\r\n private String readFileWithEncodingDetection(MultipartFile file) throws IOException {\r\n return FileEncodingDetector.readFileWithEncodingDetection(file);\r\n }\r\n\r\n /**\r\n * 解析CSV文件\r\n */\r\n private List<CSVRecord> parseCSV(String content) throws IOException {\r\n char delimiter = detectDelimiter(content);\r\n return CsvParserUtil.parseCsvWithoutHeader(content, delimiter);\r\n }\r\n\r\n /**\r\n * 检测CSV分隔符\r\n */\r\n private char detectDelimiter(String content) {\r\n // 获取第一行（标题行）\r\n String firstLine = content.contains(\"\\n\") ? content.substring(0, content.indexOf(\"\\n\")) : content;\r\n\r\n int tabCount = countOccurrences(firstLine, '\\t');\r\n int commaCount = countOccurrences(firstLine, ',');\r\n int semicolonCount = countOccurrences(firstLine, ';');\r\n\r\n // 招行CSV通常使用制表符或逗号\r\n // 优先检查制表符（招行常用）\r\n if (tabCount > 0 && tabCount >= CmbCsvConstants.EXPECTED_HEADERS.length - 1) {\r\n return '\\t';\r\n }\r\n // 其次检查分号\r\n else if (semicolonCount > commaCount && semicolonCount >= CmbCsvConstants.EXPECTED_HEADERS.length - 1) {\r\n return ';';\r\n }\r\n // 默认使用逗号\r\n else {\r\n return ',';\r\n }\r\n }\r\n\r\n /**\r\n * 计算字符出现次数\r\n */\r\n private int countOccurrences(String str, char ch) {\r\n int count = 0;\r\n for (int i = 0; i < str.length(); i++) {\r\n if (str.charAt(i) == ch) {\r\n count++;\r\n }\r\n }\r\n return count;\r\n }\r\n\r\n /**\r\n * 提取标题行\r\n */\r\n private List<String> extractHeaders(CSVRecord record) {\r\n List<String> headers = new ArrayList<>();\r\n for (String header : record) {\r\n headers.add(header.trim());\r\n }\r\n return headers;\r\n }\r\n\r\n /**\r\n * 验证标题行\r\n */\r\n private boolean validateHeaders(List<String> actualHeaders, List<String> errors, Map<String, Object> metadata) {\r\n List<Map<String, String>> headerValidation = new ArrayList<>();\r\n\r\n int matchCount = 0;\r\n for (int i = 0; i < Math.max(actualHeaders.size(), CmbCsvConstants.EXPECTED_HEADERS.length); i++) {\r\n String expected = i < CmbCsvConstants.EXPECTED_HEADERS.length ? CmbCsvConstants.EXPECTED_HEADERS[i] : \"\";\r\n String actual = i < actualHeaders.size() ? actualHeaders.get(i) : \"\";\r\n\r\n boolean matches = expected.equals(actual);\r\n if (matches) {\r\n matchCount++;\r\n }\r\n\r\n Map<String, String> validation = new HashMap<>();\r\n validation.put(\"expected\", expected);\r\n validation.put(\"actual\", actual);\r\n validation.put(\"matches\", String.valueOf(matches));\r\n headerValidation.add(validation);\r\n\r\n if (!matches && !expected.isEmpty()) {\r\n errors.add(String.format(\"第%d列应为'%s'，实际为'%s'\", i + 1, expected, actual));\r\n }\r\n }\r\n\r\n metadata.put(\"headerValidation\", headerValidation);\r\n metadata.put(\"headerMatchCount\", matchCount);\r\n metadata.put(\"headerMatchRate\", actualHeaders.size() > 0 ? (double) matchCount / CmbCsvConstants.EXPECTED_HEADERS.length : 0);\r\n\r\n // 如果匹配率超过70%，认为是有效的招行文件\r\n return matchCount >= CmbCsvConstants.EXPECTED_HEADERS.length * 0.7;\r\n }\r\n\r\n /**\r\n * 解析单行记录\r\n */\r\n private Transaction parseRecord(CSVRecord record, int rowNumber, List<String> headers) {\r\n Transaction transaction = new Transaction();\r\n\r\n // 创建列名到索引的映射\r\n Map<String, Integer> columnMap = CsvParserUtil.createColumnMap(headers);\r\n\r\n // 1. 交易日期\r\n String dateStr = getValueByHeader(record, columnMap, \"交易日期\");\r\n // 2. 交易时间\r\n String timeStr = getValueByHeader(record, columnMap, \"交易时间\");\r\n\r\n // 3. 合并日期和时间\r\n try {\r\n Date tradeDateTime = parseDateTime(dateStr, timeStr);\r\n transaction.setTradeTime(tradeDateTime);\r\n } catch (Exception e) {\r\n log.warn(\"第{}行日期时间解析失败: {}/{} - {}\", rowNumber, dateStr, timeStr, e.getMessage());\r\n transaction.setTradeTime(null);\r\n }\r\n\r\n // 4. 收入金额和支出金额处理\r\n processAmounts(record, columnMap, transaction);\r\n\r\n // 5. 交易类型\r\n String tradeType = getValueByHeader(record, columnMap, \"交易类型\");\r\n transaction.setTradeType(tradeType);\r\n\r\n // 6. 交易分类（根据交易类型映射）\r\n // String tradeCategory = mapTradeTypeToCategory(tradeType);\r\n // transaction.setTradeType(tradeCategory);\r\n\r\n // 7. 交易备注\r\n String remark = getValueByHeader(record, columnMap, \"交易备注\");\r\n\r\n // 8. 从备注中提取交易对方\r\n // String counterparty = extractCounterpartyFromRemark(remark);\r\n String[] split = remark.split(\"-\");\r\n if (split.length > 1) {\r\n transaction.setCounterparty(split[0]);\r\n } else {\r\n transaction.setCounterparty(remark.replaceAll(tradeType, \"\").replaceAll(\"[，。,.;-]\", \"\").trim());\r\n }\r\n\r\n // transaction.setRemark(remark);\r\n transaction.setProductDesc(remark.replaceAll(transaction.getCounterparty(), \"\").replaceAll(\"[，。,.;-]\", \"\").trim());\r\n\r\n transaction.setTradeType(TransactionCategoryUtils.categorizeTransaction(transaction));\r\n\r\n // 验证必要字段\r\n if (transaction.getTradeTime() == null || transaction.getAmount() == null) {\r\n throw new RuntimeException(\"交易日期时间和金额不能为空\");\r\n }\r\n\r\n return transaction;\r\n }\r\n\r\n /**\r\n * 处理收入和支出金额\r\n */\r\n private void processAmounts(CSVRecord record, Map<String, Integer> columnMap, Transaction transaction) {\r\n String incomeStr = getValueByHeader(record, columnMap, \"收入\");\r\n String expenseStr = getValueByHeader(record, columnMap, \"支出\");\r\n\r\n try {\r\n BigDecimal income = parseAmount(incomeStr);\r\n BigDecimal expense = parseAmount(expenseStr);\r\n\r\n // 确定是收入还是支出\r\n if (income != null && income.compareTo(BigDecimal.ZERO) > 0) {\r\n transaction.setIncomeExpense(\"收入\");\r\n transaction.setAmount(income);\r\n } else if (expense != null && expense.compareTo(BigDecimal.ZERO) > 0) {\r\n transaction.setIncomeExpense(\"支出\");\r\n transaction.setAmount(expense);\r\n } else {\r\n // 如果两个字段都是0或空，可能是异常数据\r\n throw new RuntimeException(\"收入和支出金额都为空或为0\");\r\n }\r\n } catch (Exception e) {\r\n throw new RuntimeException(\"金额解析失败: 收入=\" + incomeStr + \", 支出=\" + expenseStr);\r\n }\r\n }\r\n\r\n /**\r\n * 合并日期和时间\r\n */\r\n private Date parseDateTime(String dateStr, String timeStr) throws Exception {\r\n if (dateStr == null || dateStr.trim().isEmpty()) {\r\n\n⚠️ [... middle content omitted — showing head and tail ...]\n\n if (normalizedDate.length() == 8) {\r\n normalizedDate = normalizedDate.substring(0, 4) + \"-\" + normalizedDate.substring(4, 6) + \"-\" + normalizedDate.substring(6, 8);\r\n }\r\n\r\n String normalizedTime = cleanedTime;\r\n if (normalizedTime.split(\":\").length == 2) {\r\n normalizedTime += \":00\";\r\n }\r\n\r\n SimpleDateFormat sdf = new SimpleDateFormat(\"yyyy-MM-dd HH:mm:ss\");\r\n sdf.setLenient(true);\r\n return sdf.parse(normalizedDate + \" \" + normalizedTime);\r\n } catch (Exception e) {\r\n throw new Exception(\"无法解析日期时间: \" + dateStr + \" \" + timeStr);\r\n }\r\n }\r\n\r\n /**\r\n * 清理日期字符串\r\n */\r\n private String cleanDateString(String dateStr) {\r\n if (dateStr == null) return \"\";\r\n\r\n // 移除引号和其他特殊字符\r\n String cleaned = dateStr.replace(\"\\\"\", \"\").replace(\"'\", \"\").replace(\" \", \"\").replace(\"\t\", \"\") // 制表符\r\n .replace(\"年\", \"-\").replace(\"月\", \"-\").replace(\"日\", \"\").replace(\"/\", \"-\").replace(\".\", \"-\");\r\n\r\n // 移除开头的非数字字符\r\n cleaned = cleaned.replaceAll(\"^[^\\\\d]+\", \"\");\r\n\r\n return cleaned;\r\n }\r\n\r\n /**\r\n * 清理时间字符串\r\n */\r\n private String cleanTimeString(String timeStr) {\r\n if (timeStr == null || timeStr.trim().isEmpty()) {\r\n return \"00:00:00\";\r\n }\r\n\r\n String cleaned = timeStr.replace(\"\\\"\", \"\").replace(\"'\", \"\").replace(\" \", \"\").replace(\"\t\", \"\") // 制表符\r\n .replace(\"时\", \":\").replace(\"分\", \":\").replace(\"秒\", \"\");\r\n\r\n // 确保格式为 HH:mm:ss\r\n String[] parts = cleaned.split(\":\");\r\n if (parts.length == 1) {\r\n return parts[0] + \":00:00\";\r\n } else if (parts.length == 2) {\r\n return parts[0] + \":\" + parts[1] + \":00\";\r\n } else {\r\n return cleaned;\r\n }\r\n }\r\n\r\n /**\r\n * 解析金额\r\n */\r\n private BigDecimal parseAmount(String amountStr) {\r\n if (amountStr == null || amountStr.trim().isEmpty()) {\r\n return BigDecimal.ZERO;\r\n }\r\n return AmountParserUtil.parseAmount(amountStr, \"CNY\");\r\n }\r\n\r\n /**\r\n * 根据标题获取值\r\n */\r\n private String getValueByHeader(CSVRecord record, Map<String, Integer> columnMap, String headerName) {\r\n return CsvParserUtil.getValueByHeader(record, columnMap, headerName);\r\n }\r\n\r\n /**\r\n * 转换为统一中间格式\r\n */\r\n public Map<String, Object> toStandardFormat(ConvertResult<Transaction> convertResult) {\r\n Map<String, Object> standardData = new HashMap<>();\r\n\r\n standardData.put(\"source_type\", \"cmb\");\r\n standardData.put(\"convert_time\", new Date());\r\n standardData.put(\"convert_result\", convertResult.getMessage());\r\n\r\n List<Map<String, Object>> transactions = new ArrayList<>();\r\n for (Transaction tx : convertResult.getTransactions()) {\r\n Map<String, Object> record = new HashMap<>();\r\n record.put(\"trade_time\", tx.getTradeTime());\r\n record.put(\"amount\", tx.getAmount());\r\n record.put(\"trade_type\", tx.getTradeType());\r\n record.put(\"counterparty\", tx.getCounterparty());\r\n record.put(\"remark\", tx.getRemark());\r\n record.put(\"product_desc\", tx.getProductDesc());\r\n if (StrUtil.equals(\"杨轩\", tx.getProductDesc()) && AmountParserUtil.isValidAmount(tx.getAmount())) {\r\n continue;\r\n }\r\n record.put(\"income_expense\", tx.getIncomeExpense());\r\n\r\n transactions.add(record);\r\n }\r\n\r\n standardData.put(\"transactions\", transactions);\r\n standardData.put(\"metadata\", convertResult.getMetadata());\r\n standardData.put(\"statistics\", Map.of(\"total\", convertResult.getTotalRows(), \"valid\", convertResult.getValidRows(), \"skipped\", convertResult.getSkippedRows(), \"errors\", convertResult.getErrorRows()));\r\n\r\n return standardData;\r\n }\r\n}[... 931 more characters truncated]"}],"isError":false,"timestamp":1778564728876}}
|
||
{"type":"message","id":"2636c3ff","parentId":"6688ce8d","timestamp":"2026-05-12T05:45:28.877Z","message":{"role":"toolResult","toolCallId":"call_01_tsE0pJdCX7rOCFsgr3iL8713","toolName":"read","content":[{"type":"text","text":"package cn.iocoder.yudao.module.family.converter;\r\n\r\nimport cn.iocoder.yudao.module.family.converter.model.ConvertResult;\r\nimport cn.iocoder.yudao.module.family.converter.model.Transaction;\r\nimport cn.iocoder.yudao.module.family.utils.AmountParserUtil;\r\nimport cn.iocoder.yudao.module.family.utils.CsvParserUtil;\r\nimport cn.iocoder.yudao.module.family.utils.FileEncodingDetector;\r\nimport lombok.extern.slf4j.Slf4j;\r\nimport org.apache.commons.csv.CSVRecord;\r\nimport org.springframework.stereotype.Component;\r\nimport org.springframework.web.multipart.MultipartFile;\r\n\r\nimport java.io.IOException;\r\nimport java.math.BigDecimal;\r\nimport java.text.SimpleDateFormat;\r\nimport java.util.ArrayList;\r\nimport java.util.Collections;\r\nimport java.util.Date;\r\nimport java.util.HashMap;\r\nimport java.util.List;\r\nimport java.util.Map;\r\n\r\n/**\r\n * 京东账单转换器\r\n * 格式特点：\r\n * 1. 标题行在第一行\r\n * 2. 使用制表符分隔（但示例显示似乎是制表符+引号混合）\r\n * 3. 字段包含复杂字符和换行\r\n * 4. 有专门的交易分类字段\r\n * 5. 有两个订单号字段：交易订单号和商家订单号\r\n */\r\n@Component\r\n@Slf4j\r\npublic class JdCsvConverter {\r\n\r\n // 京东账单预期标题\r\n private static final String[] EXPECTED_HEADERS = {\"交易时间\", \"商户名称\", \"交易说明\", \"金额\", \"收/付款方式\", \"交易状态\", \"收/支\", \"交易分类\", \"交易订单号\", \"商家订单号\", \"备注\"};\r\n\r\n // 京东交易分类映射（进一步分类）\r\n private static final Map<String, String> TRADE_CATEGORY_MAPPING = new HashMap<>();\r\n\r\n static {\r\n // 食品相关\r\n TRADE_CATEGORY_MAPPING.put(\"食品酒饮\", \"餐饮食品\");\r\n TRADE_CATEGORY_MAPPING.put(\"餐饮美食\", \"餐饮食品\");\r\n TRADE_CATEGORY_MAPPING.put(\"生鲜食品\", \"生鲜食品\");\r\n TRADE_CATEGORY_MAPPING.put(\"零食饮料\", \"零食饮料\");\r\n\r\n // 医疗健康\r\n TRADE_CATEGORY_MAPPING.put(\"医疗保健\", \"医疗健康\");\r\n TRADE_CATEGORY_MAPPING.put(\"医药健康\", \"医疗健康\");\r\n TRADE_CATEGORY_MAPPING.put(\"健康护理\", \"医疗健康\");\r\n\r\n // 生活用品\r\n TRADE_CATEGORY_MAPPING.put(\"日用百货\", \"生活用品\");\r\n TRADE_CATEGORY_MAPPING.put(\"家居用品\", \"生活用品\");\r\n TRADE_CATEGORY_MAPPING.put(\"清洁用品\", \"生活用品\");\r\n\r\n // 数码电子\r\n TRADE_CATEGORY_MAPPING.put(\"数码家电\", \"数码电子\");\r\n TRADE_CATEGORY_MAPPING.put(\"手机通讯\", \"数码电子\");\r\n TRADE_CATEGORY_MAPPING.put(\"电脑办公\", \"数码电子\");\r\n\r\n // 服饰鞋包\r\n TRADE_CATEGORY_MAPPING.put(\"服饰鞋包\", \"服饰鞋包\");\r\n TRADE_CATEGORY_MAPPING.put(\"服装服饰\", \"服饰鞋包\");\r\n TRADE_CATEGORY_MAPPING.put(\"鞋靴箱包\", \"服饰鞋包\");\r\n\r\n // 出行交通\r\n TRADE_CATEGORY_MAPPING.put(\"出行交通\", \"出行交通\");\r\n TRADE_CATEGORY_MAPPING.put(\"车品养护\", \"出行交通\");\r\n\r\n // 其他分类\r\n TRADE_CATEGORY_MAPPING.put(\"其他\", \"其他\");\r\n TRADE_CATEGORY_MAPPING.put(\"充值缴费\", \"充值缴费\");\r\n TRADE_CATEGORY_MAPPING.put(\"生活缴费\", \"生活缴费\");\r\n }\r\n\r\n // 京东支付方式分类\r\n private static final Map<String, String> PAYMENT_METHOD_MAPPING = new HashMap<>();\r\n\r\n static {\r\n PAYMENT_METHOD_MAPPING.put(\"招商银行储蓄卡\", \"储蓄卡\");\r\n PAYMENT_METHOD_MAPPING.put(\"招商银行信用卡\", \"信用卡\");\r\n PAYMENT_METHOD_MAPPING.put(\"余额\", \"余额\");\r\n PAYMENT_METHOD_MAPPING.put(\"京东白条\", \"白条\");\r\n PAYMENT_METHOD_MAPPING.put(\"微信支付\", \"微信\");\r\n PAYMENT_METHOD_MAPPING.put(\"支付宝\", \"支付宝\");\r\n PAYMENT_METHOD_MAPPING.put(\"京东支付\", \"京东支付\");\r\n PAYMENT_METHOD_MAPPING.put(\"银行卡\", \"银行卡\");\r\n }\r\n\r\n // 文件结构常量\r\n private static final int HEADER_LINE = 1; // 第1行为标题行（1-based）\r\n private static final int DATA_START_LINE = 2; // 第2行开始为数据（1-based）\r\n\r\n /**\r\n * 转换京东账单CSV文件\r\n */\r\n public ConvertResult<Transaction> convert(MultipartFile file) {\r\n ConvertResult<Transaction> result = new ConvertResult<>();\r\n List<Transaction> transactions = new ArrayList<>();\r\n List<String> errors = new ArrayList<>();\r\n Map<String, Object> metadata = new HashMap<>();\r\n\r\n if (file.isEmpty()) {\r\n result.setSuccess(false);\r\n result.setMessage(\"文件为空\");\r\n return result;\r\n }\r\n\r\n try {\r\n // 1. 检测编码和读取内容\r\n String content = readFileWithEncodingDetection(file);\r\n metadata.put(\"fileName\", file.getOriginalFilename());\r\n metadata.put(\"fileSize\", file.getSize());\r\n\r\n // 2. 解析CSV（京东使用特殊的分隔符和引号处理）\r\n List<CSVRecord> allRecords = parseCSV(content);\r\n metadata.put(\"totalRows\", allRecords.size());\r\n\r\n if (allRecords.size() < HEADER_LINE) {\r\n result.setSuccess(false);\r\n result.setMessage(\"CSV文件行数不足，无法找到标题行\");\r\n return result;\r\n }\r\n\r\n // 3. 验证标题行（第1行）\r\n CSVRecord headerRecord = allRecords.get(HEADER_LINE - 1);\r\n List<String> actualHeaders = extractHeaders(headerRecord);\r\n metadata.put(\"actualHeaders\", actualHeaders);\r\n\r\n if (!validateHeaders(actualHeaders, errors, metadata)) {\r\n result.setSuccess(false);\r\n result.setMessage(\"CSV格式不符合京东账单格式\");\r\n result.setErrors(errors);\r\n result.setMetadata(metadata);\r\n return result;\r\n }\r\n\r\n // 5. 从第2行开始解析数据\r\n int validRows = 0;\r\n int skippedRows = 0;\r\n int errorRows = 0;\r\n\r\n for (int i = DATA_START_LINE - 1; i < allRecords.size(); i++) {\r\n CSVRecord record = allRecords.get(i);\r\n\r\n // 检查空行\r\n if (isEmptyRecord(record)) {\r\n skippedRows++;\r\n continue;\r\n }\r\n\r\n try {\r\n Transaction transaction = parseRecord(record, i + 1, actualHeaders);\r\n if (transaction != null) {\r\n transactions.add(transaction);\r\n validRows++;\r\n } else {\r\n errorRows++;\r\n errors.add(String.format(\"第%d行: 解析失败，数据不完整\", i + 1));\r\n }\r\n } catch (Exception e) {\r\n errorRows++;\r\n errors.add(String.format(\"第%d行: %s\", i + 1, e.getMessage()));\r\n log.warn(\"解析京东账单第{}行失败: {}\", i + 1, e.getMessage());\r\n }\r\n }\r\n\r\n // 6. 设置结果\r\n result.setSuccess(true);\r\n result.setMessage(String.format(\"成功解析%d条记录，跳过%d行（含统计行），失败%d行\", validRows, skippedRows, errorRows));\r\n result.setTransactions(transactions);\r\n result.setErrors(errors);\r\n result.setMetadata(metadata);\r\n result.setTotalRows(allRecords.size());\r\n result.setValidRows(validRows);\r\n result.setSkippedRows(skippedRows);\r\n result.setErrorRows(errorRows);\r\n\r\n log.info(\"京东账单转换完成: {} 条有效记录\", validRows);\r\n\r\n } catch (Exception e) {\r\n log.error(\"转换京东账单文件失败\", e);\r\n result.setSuccess(false);\r\n result.setMessage(\"文件解析失败: \" + e.getMessage());\r\n result.setErrors(Collections.singletonList(e.getMessage()));\r\n result.setMetadata(metadata);\r\n }\r\n\r\n return result;\r\n }\r\n\r\n /**\r\n * 检测文件编码并读取内容\r\n */\r\n private String readFileWithEncodingDetection(MultipartFile file) throws IOException {\r\n return FileEncodingDetector.readFileWithEncodingDetection(file);\r\n }\r\n\r\n /**\r\n * 解析CSV文件（京东特殊格式处理）\r\n */\r\n private List<CSVRecord> parseCSV(String content) throws IOException {\r\n // 京东CSV可能有复杂的格式，需要特别处理\r\n char delimiter = detectDelimiter(content);\r\n return CsvParserUtil.parseCsvWithoutHeader(content, delimiter);\r\n }\r\n\r\n /**\r\n * 检测CSV分隔符\r\n */\r\n private char detectDelimiter(String content) {\r\n // 获取第一行（标题行）\r\n String firstLine = content.contains(\"\\n\") ? content.substring(0, content.indexOf(\"\\n\")) : content;\r\n\r\n int tabCount = countOccurrences(firstLine, '\\t');\r\n int commaCount = countOccurrences(firstLine, ',');\r\n int semicolonCount = countOccurrences(firstLine, ';');\r\n\r\n // 京东通常使用制表符\r\n if (tabCount > 0 && tabCount >= EXPECTED_HEADERS.length - 1) {\r\n return '\\t';\r\n }\r\n // 检查是否有混合格式\r\n else if (firstLine.contains(\"\\\"\\t\\\"\")) {\r\n return '\\t';\r\n }\r\n // 其次检查逗号\r\n else if (commaCount > 0 && commaCount >= EXPECTED_HEADERS.length - 1) {\r\n return ',';\r\n }\r\n // 再次检查分号\r\n else if (semicolonCount > 0 && semicolonCount >= EXPECTED_HEADERS.length - 1) {\r\n return ';';\r\n }\r\n // 默认使用制表符\r\n else {\r\n return '\\t';\r\n }\r\n }\r\n\r\n /**\r\n * 计算字符出现次数\r\n */\r\n private int countOccurrences(String str, char ch) {\r\n int count = 0;\r\n for (int i = 0; i < str.length(); i++) {\r\n if (str.charAt(i) == ch) {\r\n count++;\r\n }\r\n }\r\n return count;\r\n }\r\n\r\n /**\r\n * 提取标题行\r\n */\r\n private List<String> extractHeaders(CSVRecord record) {\r\n List<String> headers = new ArrayList<>();\r\n for (String header : record) {\r\n headers.add(header.trim());\r\n }\r\n return headers;\r\n }\r\n\r\n /**\r\n * 验证标题行\r\n */\r\n private boolean validateHeaders(List<String> actualHeaders, List<String> errors, Map<String, Object> metadata) {\r\n List<Map<String, String>> headerValidation = new ArrayList<>();\r\n\r\n int matchCount = 0;\r\n for (int i = 0; i < Math.max(actualHeaders.size(), EXPECTED_HEADERS.length); i++) {\r\n String expected = i < EXPECTED_HEADERS.length ? EXPECTED_HEADERS[i] : \"\";\r\n String actual = i < actualHeaders.size() ? actualHeaders.get(i) : \"\";\r\n\r\n boolean matches = expected.equals(actual);\r\n if (matches) {\r\n matchCount++;\r\n }\r\n\r\n Map<String, String> validation = new HashMap<>();\r\n validation.put(\"expected\", expected);\r\n validation.put(\"actual\", actual);\r\n validation.put(\"matches\", String.valueOf(matches));\r\n headerValidation.add(validation);\r\n\r\n if (!matches && !expected.isEmpty()) {\r\n errors.add(String.format(\"第%d列应为'%s'，实际为'%s'\", i + 1, expected, actual));\r\n }\r\n }\r\n\r\n metadata.put(\"headerValidation\", headerValidation);\r\n metadata.put(\"headerMatchCount\", matchCount);\r\n metadata.put(\"headerMatchRate\", actualHeaders.size() > 0 ? (double) matchCount / EXPECTED_HEADERS.length : 0);\r\n\r\n // 如果匹配率超过70%，认为是有效的京东文件\r\n return matchCount >= EXPECTED_HEADERS.length * 0.7;\r\n }\r\n\r\n /**\r\n * 检查是否为空记录\r\n */\r\n private boolean isEmptyRecord(CSVRecord record) {\r\n return CsvParserUtil.isEmptyRecord(record);\r\n }\r\n\r\n /**\r\n * 解析单行记录\r\n */\r\n private Transaction parseRecord(CSVRecord record, int rowNumber, List<String> headers) {\r\n Transaction transaction = new Transaction();\r\n\r\n // 创建列名到索引的映射\r\n Map<String, Integer> columnMap = CsvParserUtil.createColumnMap(headers);\r\n\r\n // 1. 交易时间\r\n String timeStr = getValueByHeader(record, columnMap, \"交易时间\");\r\n\r\n try {\r\n Date tradeTime = parseDate(timeStr);\r\n transaction.setTradeTime(tradeTime);\r\n } catch (Exception e) {\r\n throw new RuntimeException(\"交易时间解析失败: \" + timeStr);\r\n }\r\n\r\n // 2. 商户名称\r\n String merchantName = getValueByHeader(record, columnMap, \"商户名称\");\r\n transaction.setCounterparty(merchantName);\r\n\r\n // 3. 交易说明\r\n String tradeDescription = getValueByHeader(record, columnMap, \"交易说明\");\r\n transaction.setProductDesc(tradeDescription);\r\n\r\n // 4. 金额\r\n String amountStr = getValueByHeader(record, columnMap, \"金额\");\r\n try {\r\n BigDecimal amount = parseAmount(amountStr);\r\n\r\n transaction.setAmount(amount);\r\n } catch (Exception e) {\r\n throw new RuntimeException(\"金额解析失败: \" + amountStr);\r\n }\r\n\r\n // 5. 收/付款方式\r\n\n⚠️ [... middle content omitted — showing head and tail ...]\n\n\r\n throw new Exception(\"无法解析日期格式: \" + dateStr);\r\n }\r\n\r\n /**\r\n * 解析金额\r\n */\r\n private BigDecimal parseAmount(String amountStr) {\r\n if (amountStr == null || amountStr.trim().isEmpty()) {\r\n return BigDecimal.ZERO;\r\n }\r\n return AmountParserUtil.parseAmount(amountStr, \"CNY\");\r\n }\r\n\r\n /**\r\n * 清理京东字符串（处理特殊格式）\r\n */\r\n private String cleanJdString(String str) {\r\n if (str == null) {\r\n return \"\";\r\n }\r\n\r\n String cleaned = str.trim();\r\n\r\n // 移除包裹的引号\r\n if (cleaned.startsWith(\"\\\"\") && cleaned.endsWith(\"\\\"\")) {\r\n cleaned = cleaned.substring(1, cleaned.length() - 1);\r\n }\r\n\r\n // 移除结尾的制表符引号（京东特有格式）\r\n if (cleaned.endsWith(\"\\\"\\t\")) {\r\n cleaned = cleaned.substring(0, cleaned.length() - 2);\r\n }\r\n\r\n // 移除开头和结尾的空格和制表符\r\n cleaned = cleaned.trim();\r\n\r\n return cleaned;\r\n }\r\n\r\n /**\r\n * 从交易说明中提取商户名称\r\n */\r\n private String extractMerchantFromDescription(String description) {\r\n if (description == null || description.trim().isEmpty()) {\r\n return \"未知商户\";\r\n }\r\n\r\n String cleanedDesc = cleanJdString(description);\r\n\r\n // 京东交易说明常见格式\r\n // 1. 直接是商户名称\r\n // 2. 商户名称 + 商品描述\r\n\r\n // 尝试提取前部分作为商户名称\r\n int firstSpaceIndex = cleanedDesc.indexOf(\" \");\r\n if (firstSpaceIndex > 0) {\r\n // 如果有空格，取第一个空格前的部分\r\n String potentialMerchant = cleanedDesc.substring(0, firstSpaceIndex);\r\n\r\n // 检查是否是合理的商户名称（不含特殊符号，长度适中）\r\n if (potentialMerchant.length() >= 2 && potentialMerchant.length() <= 20 && !potentialMerchant.contains(\"【\") && !potentialMerchant.contains(\"】\")) {\r\n return potentialMerchant;\r\n }\r\n }\r\n\r\n // 如果提取失败，取前10个字符\r\n if (cleanedDesc.length() > 10) {\r\n return cleanedDesc.substring(0, 10) + \"...\";\r\n }\r\n\r\n return cleanedDesc;\r\n }\r\n\r\n /**\r\n * 标准化交易分类\r\n */\r\n private String standardizeTradeCategory(String category) {\r\n if (category == null || category.trim().isEmpty()) {\r\n return \"其他\";\r\n }\r\n\r\n String cleanedCategory = cleanJdString(category);\r\n\r\n // 查找映射\r\n for (Map.Entry<String, String> entry : TRADE_CATEGORY_MAPPING.entrySet()) {\r\n if (cleanedCategory.contains(entry.getKey())) {\r\n return entry.getValue();\r\n }\r\n }\r\n\r\n return cleanedCategory;\r\n }\r\n\r\n /**\r\n * 转换为统一中间格式\r\n */\r\n public Map<String, Object> toStandardFormat(ConvertResult<Transaction> convertResult) {\r\n Map<String, Object> standardData = new HashMap<>();\r\n\r\n standardData.put(\"source_type\", \"jd\");\r\n standardData.put(\"convert_time\", new Date());\r\n standardData.put(\"convert_result\", convertResult.getMessage());\r\n\r\n List<Map<String, Object>> transactions = new ArrayList<>();\r\n for (Transaction tx : convertResult.getTransactions()) {\r\n Map<String, Object> record = new HashMap<>();\r\n record.put(\"trade_time\", tx.getTradeTime());\r\n record.put(\"trade_type\", tx.getTradeType());\r\n record.put(\"counterparty\", tx.getCounterparty());\r\n record.put(\"product_desc\", tx.getProductDesc());\r\n record.put(\"income_expense\", tx.getIncomeExpense());\r\n record.put(\"amount\", tx.getAmount());\r\n record.put(\"trade_order_no\", tx.getTradeOrderNo());\r\n record.put(\"remark\", tx.getRemark());\r\n\r\n transactions.add(record);\r\n }\r\n\r\n standardData.put(\"transactions\", transactions);\r\n standardData.put(\"metadata\", convertResult.getMetadata());\r\n standardData.put(\"statistics\", Map.of(\"total\", convertResult.getTotalRows(), \"valid\", convertResult.getValidRows(), \"skipped\", convertResult.getSkippedRows(), \"errors\", convertResult.getErrorRows()));\r\n\r\n return standardData;\r\n }\r\n}[... 2636 more characters truncated]"}],"isError":false,"timestamp":1778564728876}}
|
||
{"type":"message","id":"cfd3156b","parentId":"2636c3ff","timestamp":"2026-05-12T05:45:28.877Z","message":{"role":"toolResult","toolCallId":"call_02_TqAOVg1tfd9aiQey2BBt9222","toolName":"read","content":[{"type":"text","text":"package cn.iocoder.yudao.module.family.converter;\r\n\r\nimport cn.iocoder.yudao.module.family.converter.model.ConvertResult;\r\nimport cn.iocoder.yudao.module.family.converter.model.Transaction;\r\nimport cn.iocoder.yudao.module.family.utils.AmountParserUtil;\r\nimport cn.iocoder.yudao.module.family.utils.CsvParserUtil;\r\nimport cn.iocoder.yudao.module.family.utils.FileEncodingDetector;\r\nimport lombok.extern.slf4j.Slf4j;\r\nimport org.apache.commons.csv.CSVRecord;\r\nimport org.springframework.stereotype.Component;\r\nimport org.springframework.web.multipart.MultipartFile;\r\n\r\nimport java.io.IOException;\r\nimport java.math.BigDecimal;\r\nimport java.text.SimpleDateFormat;\r\nimport java.util.ArrayList;\r\nimport java.util.Collections;\r\nimport java.util.Date;\r\nimport java.util.HashMap;\r\nimport java.util.List;\r\nimport java.util.Map;\r\n\r\n/**\r\n * 美团账单转换器\r\n * 格式特点：\r\n * 1. 标题行在第一行\r\n * 2. 有两个时间字段：交易创建时间、交易成功时间\r\n * 3. 有两个金额字段：订单金额、实付金额\r\n * 4. 有两个单号字段：交易单号、商家单号\r\n * 5. 使用引号包裹包含逗号或换行符的字段\r\n */\r\n@Component\r\n@Slf4j\r\npublic class MeituanCsvConverter {\r\n\r\n // 美团账单预期标题\r\n private static final String[] EXPECTED_HEADERS = {\r\n \"交易创建时间\", \"交易成功时间\", \"交易类型\", \"订单标题\", \"收/支\",\r\n \"支付方式\", \"订单金额\", \"实付金额\", \"交易单号\", \"商家单号\", \"备注\"\r\n };\r\n\r\n // 美团交易类型分类映射\r\n private static final Map<String, String> TRADE_TYPE_CATEGORIES = new HashMap<>();\r\n\r\n static {\r\n TRADE_TYPE_CATEGORIES.put(\"支付\", \"消费\");\r\n TRADE_TYPE_CATEGORIES.put(\"退款\", \"退款\");\r\n TRADE_TYPE_CATEGORIES.put(\"提现\", \"提现\");\r\n TRADE_TYPE_CATEGORIES.put(\"转账\", \"转账\");\r\n TRADE_TYPE_CATEGORIES.put(\"充值\", \"充值\");\r\n TRADE_TYPE_CATEGORIES.put(\"红包\", \"红包\");\r\n TRADE_TYPE_CATEGORIES.put(\"优惠\", \"优惠\");\r\n }\r\n\r\n // 美团支付方式分类\r\n private static final Map<String, String> PAYMENT_METHOD_CATEGORIES = new HashMap<>();\r\n\r\n static {\r\n PAYMENT_METHOD_CATEGORIES.put(\"微信支付\", \"微信\");\r\n PAYMENT_METHOD_CATEGORIES.put(\"支付宝\", \"支付宝\");\r\n PAYMENT_METHOD_CATEGORIES.put(\"余额支付\", \"余额\");\r\n PAYMENT_METHOD_CATEGORIES.put(\"银行卡\", \"银行卡\");\r\n PAYMENT_METHOD_CATEGORIES.put(\"信用卡\", \"信用卡\");\r\n PAYMENT_METHOD_CATEGORIES.put(\"美团支付\", \"美团\");\r\n }\r\n\r\n // 文件结构常量\r\n private static final int HEADER_LINE = 1; // 第1行为标题行（1-based）\r\n private static final int DATA_START_LINE = 2; // 第2行开始为数据（1-based）\r\n\r\n /**\r\n * 转换美团账单CSV文件\r\n */\r\n public ConvertResult<Transaction> convert(MultipartFile file) {\r\n ConvertResult<Transaction> result = new ConvertResult<>();\r\n List<Transaction> transactions = new ArrayList<>();\r\n List<String> errors = new ArrayList<>();\r\n Map<String, Object> metadata = new HashMap<>();\r\n\r\n if (file.isEmpty()) {\r\n result.setSuccess(false);\r\n result.setMessage(\"文件为空\");\r\n return result;\r\n }\r\n\r\n try {\r\n // 1. 检测编码和读取内容\r\n String content = readFileWithEncodingDetection(file);\r\n metadata.put(\"fileName\", file.getOriginalFilename());\r\n metadata.put(\"fileSize\", file.getSize());\r\n\r\n // 2. 解析CSV\r\n List<CSVRecord> allRecords = parseCSV(content);\r\n metadata.put(\"totalRows\", allRecords.size());\r\n\r\n if (allRecords.size() < HEADER_LINE) {\r\n result.setSuccess(false);\r\n result.setMessage(\"CSV文件行数不足，无法找到标题行\");\r\n return result;\r\n }\r\n\r\n // 3. 验证标题行（第1行）\r\n CSVRecord headerRecord = allRecords.get(HEADER_LINE - 1);\r\n List<String> actualHeaders = extractHeaders(headerRecord);\r\n metadata.put(\"actualHeaders\", actualHeaders);\r\n\r\n if (!validateHeaders(actualHeaders, errors, metadata)) {\r\n result.setSuccess(false);\r\n result.setMessage(\"CSV格式不符合美团账单格式\");\r\n result.setErrors(errors);\r\n result.setMetadata(metadata);\r\n return result;\r\n }\r\n\r\n // 5. 从第2行开始解析数据\r\n int validRows = 0;\r\n int skippedRows = 0;\r\n int errorRows = 0;\r\n\r\n for (int i = DATA_START_LINE - 1; i < allRecords.size(); i++) {\r\n CSVRecord record = allRecords.get(i);\r\n\r\n // 检查空行\r\n if (isEmptyRecord(record)) {\r\n skippedRows++;\r\n continue;\r\n }\r\n\r\n try {\r\n Transaction transaction = parseRecord(record, i + 1, actualHeaders);\r\n if (transaction != null) {\r\n transactions.add(transaction);\r\n validRows++;\r\n } else {\r\n errorRows++;\r\n errors.add(String.format(\"第%d行: 解析失败，数据不完整\", i + 1));\r\n }\r\n } catch (Exception e) {\r\n errorRows++;\r\n errors.add(String.format(\"第%d行: %s\", i + 1, e.getMessage()));\r\n log.warn(\"解析美团账单第{}行失败: {}\", i + 1, e.getMessage());\r\n }\r\n }\r\n\r\n // 6. 设置结果\r\n result.setSuccess(true);\r\n result.setMessage(String.format(\"成功解析%d条记录，跳过%d行（含统计行），失败%d行\", validRows, skippedRows, errorRows));\r\n result.setTransactions(transactions);\r\n result.setErrors(errors);\r\n result.setMetadata(metadata);\r\n result.setTotalRows(allRecords.size());\r\n result.setValidRows(validRows);\r\n result.setSkippedRows(skippedRows);\r\n result.setErrorRows(errorRows);\r\n\r\n log.info(\"美团账单转换完成: {} 条有效记录\", validRows);\r\n\r\n } catch (Exception e) {\r\n log.error(\"转换美团账单文件失败\", e);\r\n result.setSuccess(false);\r\n result.setMessage(\"文件解析失败: \" + e.getMessage());\r\n result.setErrors(Collections.singletonList(e.getMessage()));\r\n result.setMetadata(metadata);\r\n }\r\n\r\n return result;\r\n }\r\n\r\n /**\r\n * 检测文件编码并读取内容\r\n */\r\n private String readFileWithEncodingDetection(MultipartFile file) throws IOException {\r\n return FileEncodingDetector.readFileWithEncodingDetection(file);\r\n }\r\n\r\n /**\r\n * 解析CSV文件\r\n */\r\n private List<CSVRecord> parseCSV(String content) throws IOException {\r\n // 美团账单通常使用逗号分隔，但可能包含引号包裹的字段\r\n char delimiter = detectDelimiter(content);\r\n return CsvParserUtil.parseCsvWithoutHeader(content, delimiter);\r\n }\r\n\r\n /**\r\n * 检测CSV分隔符\r\n */\r\n private char detectDelimiter(String content) {\r\n // 获取第一行（标题行）\r\n String firstLine = content.contains(\"\\n\") ? content.substring(0, content.indexOf(\"\\n\")) : content;\r\n\r\n int tabCount = countOccurrences(firstLine, '\\t');\r\n int commaCount = countOccurrences(firstLine, ',');\r\n int semicolonCount = countOccurrences(firstLine, ';');\r\n\r\n // 优先检查逗号（美团常用）\r\n if (commaCount > 0 && commaCount >= EXPECTED_HEADERS.length - 1) {\r\n return ',';\r\n }\r\n // 其次检查制表符\r\n else if (tabCount > commaCount && tabCount >= EXPECTED_HEADERS.length - 1) {\r\n return '\\t';\r\n }\r\n // 再次检查分号\r\n else if (semicolonCount > 0 && semicolonCount >= EXPECTED_HEADERS.length - 1) {\r\n return ';';\r\n }\r\n // 默认使用逗号\r\n else {\r\n return ',';\r\n }\r\n }\r\n\r\n /**\r\n * 计算字符出现次数\r\n */\r\n private int countOccurrences(String str, char ch) {\r\n int count = 0;\r\n for (int i = 0; i < str.length(); i++) {\r\n if (str.charAt(i) == ch) {\r\n count++;\r\n }\r\n }\r\n return count;\r\n }\r\n\r\n /**\r\n * 提取标题行\r\n */\r\n private List<String> extractHeaders(CSVRecord record) {\r\n List<String> headers = new ArrayList<>();\r\n for (String header : record) {\r\n headers.add(header.trim());\r\n }\r\n return headers;\r\n }\r\n\r\n /**\r\n * 验证标题行\r\n */\r\n private boolean validateHeaders(List<String> actualHeaders, List<String> errors, Map<String, Object> metadata) {\r\n List<Map<String, String>> headerValidation = new ArrayList<>();\r\n\r\n int matchCount = 0;\r\n for (int i = 0; i < Math.max(actualHeaders.size(), EXPECTED_HEADERS.length); i++) {\r\n String expected = i < EXPECTED_HEADERS.length ? EXPECTED_HEADERS[i] : \"\";\r\n String actual = i < actualHeaders.size() ? actualHeaders.get(i) : \"\";\r\n\r\n boolean matches = expected.equals(actual);\r\n if (matches) {\r\n matchCount++;\r\n }\r\n\r\n Map<String, String> validation = new HashMap<>();\r\n validation.put(\"expected\", expected);\r\n validation.put(\"actual\", actual);\r\n validation.put(\"matches\", String.valueOf(matches));\r\n headerValidation.add(validation);\r\n\r\n if (!matches && !expected.isEmpty()) {\r\n errors.add(String.format(\"第%d列应为'%s'，实际为'%s'\", i + 1, expected, actual));\r\n }\r\n }\r\n\r\n metadata.put(\"headerValidation\", headerValidation);\r\n metadata.put(\"headerMatchCount\", matchCount);\r\n metadata.put(\"headerMatchRate\", actualHeaders.size() > 0 ? (double) matchCount / EXPECTED_HEADERS.length : 0);\r\n\r\n // 如果匹配率超过70%，认为是有效的美团文件\r\n return matchCount >= EXPECTED_HEADERS.length * 0.7;\r\n }\r\n\r\n /**\r\n * 检查是否为空记录\r\n */\r\n private boolean isEmptyRecord(CSVRecord record) {\r\n return CsvParserUtil.isEmptyRecord(record);\r\n }\r\n\r\n /**\r\n * 解析单行记录\r\n */\r\n private Transaction parseRecord(CSVRecord record, int rowNumber, List<String> headers) {\r\n Transaction transaction = new Transaction();\r\n\r\n // 创建列名到索引的映射\r\n Map<String, Integer> columnMap = CsvParserUtil.createColumnMap(headers);\r\n\r\n // 1. 交易时间（使用交易成功时间，如果为空则使用交易创建时间）\r\n String createTimeStr = getValueByHeader(record, columnMap, \"交易创建时间\");\r\n String successTimeStr = getValueByHeader(record, columnMap, \"交易成功时间\");\r\n\r\n try {\r\n // 优先使用交易成功时间\r\n String timeStr = successTimeStr != null && !successTimeStr.trim().isEmpty() ?\r\n successTimeStr : createTimeStr;\r\n\r\n Date tradeTime = parseDate(timeStr);\r\n transaction.setTradeTime(tradeTime);\r\n } catch (Exception e) {\r\n throw new RuntimeException(\"交易时间解析失败: 创建时间=\" + createTimeStr + \", 成功时间=\" + successTimeStr);\r\n }\r\n\r\n // 2. 交易类型\r\n String tradeType = getValueByHeader(record, columnMap, \"交易类型\");\r\n transaction.setTradeType(tradeType);\r\n\r\n // 3. 交易分类（根据交易类型映射）\r\n String tradeCategory = mapTradeTypeToCategory(tradeType);\r\n transaction.setTradeType(tradeCategory);\r\n\r\n // 4. 订单标题\r\n String orderTitle = getValueByHeader(record, columnMap, \"订单标题\");\r\n transaction.setProductDesc(orderTitle);\r\n transaction.setRemark(orderTitle); // 也作为备注\r\n\r\n // 5. 收/支\r\n String incomeExpense = getValueByHeader(record, columnMap, \"收/支\");\r\n transaction.setIncomeExpense(incomeExpense);\r\n\r\n // 6. 支付方式\r\n String paymentMethod = getValueByHeader(record, columnMap, \"支付方式\");\r\n\r\n\r\n // 7. 金额处理（使用实付金额）\r\n String orderAmountStr = getValueByHeader(record, columnMap, \"订单金额\");\r\n String actualAmountStr = getValueByHeader(record, columnMap, \"实付金额\");\r\n\r\n try {\r\n // 优先使用实付金额\r\n String amountStr = actualAmountStr != null && !actualAmountStr.trim().isEmpty() ?\r\n actualAmountStr : orderAmountStr;\r\n\r\n BigDecimal amount = parseAmount(amountStr);\r\n\r\n transaction.setAmount(amount);\r\n } catch (Exception e) {\r\n throw new RuntimeException(\"金额解析失败: 订单金额=\" + orderAmountStr + \", 实付金额=\" + actualAmountStr);\r\n }\r\n\r\n // 8. 交易单号\r\n\n⚠️ [... middle content omitted — showing head and tail ...]\n\n sdf.setLenient(false);\r\n return sdf.parse(cleanedDate);\r\n } catch (Exception e) {\r\n continue;\r\n }\r\n }\r\n\r\n throw new Exception(\"无法解析日期格式: \" + dateStr);\r\n }\r\n\r\n /**\r\n * 解析金额\r\n */\r\n private BigDecimal parseAmount(String amountStr) {\r\n if (amountStr == null || amountStr.trim().isEmpty()) {\r\n return BigDecimal.ZERO;\r\n }\r\n return AmountParserUtil.parseAmount(amountStr, \"CNY\");\r\n }\r\n\r\n /**\r\n * 清理字符串（移除引号和多余空格）\r\n */\r\n private String cleanString(String str) {\r\n if (str == null) {\r\n return \"\";\r\n }\r\n\r\n String cleaned = str.trim();\r\n\r\n // 移除包裹的引号\r\n if (cleaned.startsWith(\"\\\"\") && cleaned.endsWith(\"\\\"\")) {\r\n cleaned = cleaned.substring(1, cleaned.length() - 1);\r\n }\r\n\r\n // 移除开头的¥符号和空格\r\n cleaned = cleaned.replace(\"¥\", \"\").replace(\"￥\", \"\").trim();\r\n\r\n return cleaned;\r\n }\r\n\r\n /**\r\n * 映射交易类型到分类\r\n */\r\n private String mapTradeTypeToCategory(String tradeType) {\r\n if (tradeType == null) {\r\n return \"其他\";\r\n }\r\n\r\n for (Map.Entry<String, String> entry : TRADE_TYPE_CATEGORIES.entrySet()) {\r\n if (tradeType.contains(entry.getKey())) {\r\n return entry.getValue();\r\n }\r\n }\r\n\r\n return \"其他\";\r\n }\r\n\r\n /**\r\n * 从订单标题中提取交易对方\r\n */\r\n private String extractCounterpartyFromOrderTitle(String orderTitle) {\r\n if (orderTitle == null || orderTitle.trim().isEmpty()) {\r\n return \"\";\r\n }\r\n\r\n String cleanedTitle = cleanString(orderTitle);\r\n\r\n // 美团订单标题格式通常是：商家名称-订单描述\r\n int dashIndex = cleanedTitle.indexOf(\"-\");\r\n if (dashIndex > 0) {\r\n // 提取商家名称部分\r\n String merchantName = cleanedTitle.substring(0, dashIndex).trim();\r\n\r\n // 移除括号内容\r\n merchantName = merchantName.replaceAll(\"\\\\(.*?\\\\)\", \"\")\r\n .replaceAll(\"（.*?）\", \"\")\r\n .trim();\r\n\r\n return merchantName;\r\n }\r\n\r\n // 如果没有破折号，尝试提取前15个字符作为商家名称\r\n if (cleanedTitle.length() > 15) {\r\n return cleanedTitle.substring(0, 15);\r\n }\r\n\r\n return cleanedTitle;\r\n }\r\n\r\n /**\r\n * 转换为统一中间格式\r\n */\r\n public Map<String, Object> toStandardFormat(ConvertResult<Transaction> convertResult) {\r\n Map<String, Object> standardData = new HashMap<>();\r\n\r\n standardData.put(\"source_type\", \"meituan\");\r\n standardData.put(\"convert_time\", new Date());\r\n standardData.put(\"convert_result\", convertResult.getMessage());\r\n\r\n List<Map<String, Object>> transactions = new ArrayList<>();\r\n for (Transaction tx : convertResult.getTransactions()) {\r\n Map<String, Object> record = new HashMap<>();\r\n record.put(\"trade_time\", tx.getTradeTime());\r\n record.put(\"trade_type\", tx.getTradeType());\r\n record.put(\"counterparty\", tx.getCounterparty());\r\n record.put(\"product_desc\", tx.getProductDesc());\r\n record.put(\"income_expense\", tx.getIncomeExpense());\r\n record.put(\"amount\", tx.getAmount());\r\n record.put(\"trade_order_no\", tx.getTradeOrderNo());\r\n // record.put(\"merchant_order_no\", tx.getMerchantOrderNo());\r\n record.put(\"remark\", tx.getRemark());\r\n\r\n transactions.add(record);\r\n }\r\n\r\n standardData.put(\"transactions\", transactions);\r\n standardData.put(\"metadata\", convertResult.getMetadata());\r\n standardData.put(\"statistics\", Map.of(\r\n \"total\", convertResult.getTotalRows(),\r\n \"valid\", convertResult.getValidRows(),\r\n \"skipped\", convertResult.getSkippedRows(),\r\n \"errors\", convertResult.getErrorRows()\r\n ));\r\n\r\n return standardData;\r\n }\r\n}[... 2502 more characters truncated]"}],"isError":false,"timestamp":1778564728877}}
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{"type":"message","id":"899c52ab","parentId":"cfd3156b","timestamp":"2026-05-12T05:45:28.877Z","message":{"role":"toolResult","toolCallId":"call_03_l9pTJPn6iHWbCQP120Si0833","toolName":"read","content":[{"type":"text","text":"package cn.iocoder.yudao.module.family.converter;\r\n\r\nimport cn.iocoder.yudao.module.family.converter.model.ConvertResult;\r\nimport cn.iocoder.yudao.module.family.converter.model.Transaction;\r\nimport cn.iocoder.yudao.module.family.utils.ExcelCellUtil;\r\nimport cn.iocoder.yudao.module.family.utils.ExcelUtils;\r\nimport lombok.extern.slf4j.Slf4j;\r\nimport org.apache.poi.ss.usermodel.Cell;\r\nimport org.apache.poi.ss.usermodel.Row;\r\nimport org.apache.poi.ss.usermodel.Sheet;\r\nimport org.apache.poi.ss.usermodel.Workbook;\r\nimport org.apache.poi.xssf.usermodel.XSSFWorkbook;\r\nimport org.springframework.stereotype.Component;\r\nimport org.springframework.web.multipart.MultipartFile;\r\n\r\nimport java.io.InputStream;\r\nimport java.math.BigDecimal;\r\nimport java.text.SimpleDateFormat;\r\nimport java.util.ArrayList;\r\nimport java.util.Collections;\r\nimport java.util.Date;\r\nimport java.util.HashMap;\r\nimport java.util.List;\r\nimport java.util.Map;\r\n\r\n/**\r\n * 抖音账单Excel转换器\r\n * 格式特点：\r\n * 1. 标题行在第一行\r\n * 2. 使用Excel格式（xlsx）\r\n * 3. 有专门的\"收/支/其他\"字段\r\n * 4. 商家单号可能包含换行\r\n * 5. 支付方式中包含银行信息和卡号\r\n */\r\n@Component\r\n@Slf4j\r\npublic class DouyinExcelConverter {\r\n\r\n // 抖音账单预期标题\r\n private static final String[] EXPECTED_HEADERS = {\"交易时间\", \"收/支/其他\", \"金额（元）\", \"收/付款方式\", \"交易单号\", \"\", \"交易对方\", \"商家单号\"};\r\n\r\n // 抖音交易类型映射\r\n private static final Map<String, String> TRADE_TYPE_MAPPING = new HashMap<>();\r\n\r\n static {\r\n TRADE_TYPE_MAPPING.put(\"支出\", \"消费\");\r\n TRADE_TYPE_MAPPING.put(\"收入\", \"收入\");\r\n TRADE_TYPE_MAPPING.put(\"充值\", \"充值\");\r\n TRADE_TYPE_MAPPING.put(\"提现\", \"提现\");\r\n TRADE_TYPE_MAPPING.put(\"退款\", \"退款\");\r\n TRADE_TYPE_MAPPING.put(\"转账\", \"转账\");\r\n TRADE_TYPE_MAPPING.put(\"其他\", \"其他\");\r\n }\r\n\r\n // 抖音支付方式分类\r\n private static final Map<String, String> PAYMENT_METHOD_MAPPING = new HashMap<>();\r\n\r\n static {\r\n PAYMENT_METHOD_MAPPING.put(\"招商银行借记卡\", \"储蓄卡\");\r\n PAYMENT_METHOD_MAPPING.put(\"招商银行信用卡\", \"信用卡\");\r\n PAYMENT_METHOD_MAPPING.put(\"余额支付\", \"余额\");\r\n PAYMENT_METHOD_MAPPING.put(\"微信支付\", \"微信\");\r\n PAYMENT_METHOD_MAPPING.put(\"支付宝\", \"支付宝\");\r\n PAYMENT_METHOD_MAPPING.put(\"抖音支付\", \"抖音支付\");\r\n PAYMENT_METHOD_MAPPING.put(\"银行卡支付\", \"银行卡\");\r\n }\r\n\r\n // 文件结构常量\r\n private static final int HEADER_ROW_NUM = 1; // 第1行为标题行（1-based）\r\n private static final int DATA_START_ROW = 2; // 第2行开始为数据（1-based）\r\n\r\n // 列索引（根据标题位置）\r\n private static class ColumnIndex {\r\n static final int TRADE_TIME = 0; // 交易时间\r\n static final int INCOME_EXPENSE = 1; // 收/支/其他\r\n static final int AMOUNT = 2; // 金额（元）\r\n static final int PAYMENT_METHOD = 3; // 收/付款方式\r\n static final int TRADE_ORDER_NO = 4; // 交易单号\r\n static final int EMPTY_COL = 5; // 空列\r\n static final int COUNTERPARTY = 6; // 交易对方\r\n static final int MERCHANT_ORDER_NO = 7; // 商家单号\r\n }\r\n\r\n /**\r\n * 转换抖音账单Excel文件\r\n */\r\n public ConvertResult<Transaction> convert(MultipartFile file) {\r\n ConvertResult<Transaction> result = new ConvertResult<>();\r\n List<Transaction> transactions = new ArrayList<>();\r\n List<String> errors = new ArrayList<>();\r\n Map<String, Object> metadata = new HashMap<>();\r\n\r\n if (file.isEmpty()) {\r\n result.setSuccess(false);\r\n result.setMessage(\"文件为空\");\r\n return result;\r\n }\r\n\r\n try (InputStream is = file.getInputStream(); Workbook workbook = new XSSFWorkbook(is)) {\r\n\r\n Sheet sheet = workbook.getSheetAt(0); // 第一个工作表\r\n int lastRowNum = sheet.getLastRowNum();\r\n\r\n // 元数据\r\n metadata.put(\"fileName\", file.getOriginalFilename());\r\n metadata.put(\"sheetName\", sheet.getSheetName());\r\n metadata.put(\"totalRows\", lastRowNum + 1);\r\n metadata.put(\"fileSize\", file.getSize());\r\n\r\n // 1. 验证标题行（第1行）\r\n if (!ExcelUtils.validateHeader(sheet.getRow(0), EXPECTED_HEADERS, errors, metadata)) {\r\n result.setSuccess(false);\r\n result.setMessage(\"文件格式不符合抖音账单格式\");\r\n result.setErrors(errors);\r\n result.setMetadata(metadata);\r\n return result;\r\n }\r\n\r\n // 2. 从第2行开始解析数据\r\n int validRows = 0;\r\n int skippedRows = 0;\r\n int errorRows = 0;\r\n\r\n for (int rowNum = DATA_START_ROW - 1; rowNum <= lastRowNum; rowNum++) {\r\n Row row = sheet.getRow(rowNum);\r\n if (row == null) {\r\n skippedRows++;\r\n continue;\r\n }\r\n\r\n // 检查是否为空行\r\n if (ExcelUtils.isEmptyRow(row)) {\r\n skippedRows++;\r\n continue;\r\n }\r\n\r\n try {\r\n Transaction transaction = parseRow(row, rowNum + 1);\r\n if (transaction != null) {\r\n transactions.add(transaction);\r\n validRows++;\r\n } else {\r\n errorRows++;\r\n errors.add(String.format(\"第%d行: 解析失败，数据不完整\", rowNum + 1));\r\n }\r\n } catch (Exception e) {\r\n errorRows++;\r\n errors.add(String.format(\"第%d行: %s\", rowNum + 1, e.getMessage()));\r\n log.warn(\"解析抖音账单第{}行失败: {}\", rowNum + 1, e.getMessage());\r\n }\r\n }\r\n\r\n // 3. 设置结果\r\n result.setSuccess(true);\r\n result.setMessage(String.format(\"成功解析%d条记录，跳过%d行（含统计行），失败%d行\", validRows, skippedRows, errorRows));\r\n result.setTransactions(transactions);\r\n result.setErrors(errors);\r\n result.setMetadata(metadata);\r\n result.setTotalRows(lastRowNum + 1);\r\n result.setValidRows(validRows);\r\n result.setSkippedRows(skippedRows);\r\n result.setErrorRows(errorRows);\r\n\r\n log.info(\"抖音账单转换完成: {} 条有效记录\", validRows);\r\n\r\n } catch (Exception e) {\r\n log.error(\"转换抖音账单文件失败\", e);\r\n result.setSuccess(false);\r\n result.setMessage(\"文件解析失败: \" + e.getMessage());\r\n result.setErrors(Collections.singletonList(e.getMessage()));\r\n result.setMetadata(metadata);\r\n }\r\n\r\n return result;\r\n }\r\n\r\n /**\r\n * 解析单行数据\r\n */\r\n private Transaction parseRow(Row row, int rowNumber) {\r\n Transaction transaction = new Transaction();\r\n\r\n // 1. 交易时间\r\n Cell timeCell = row.getCell(ColumnIndex.TRADE_TIME);\r\n String timeStr = ExcelCellUtil.getCellValue(timeCell);\r\n\r\n try {\r\n Date tradeTime = parseDate(timeStr);\r\n transaction.setTradeTime(tradeTime);\r\n } catch (Exception e) {\r\n throw new RuntimeException(\"交易时间格式错误: \" + timeStr);\r\n }\r\n\r\n // 2. 收/支/其他\r\n String incomeExpense = ExcelCellUtil.getCellValue(row.getCell(ColumnIndex.INCOME_EXPENSE));\r\n transaction.setIncomeExpense(incomeExpense);\r\n\r\n // 根据收/支类型确定交易类型\r\n String tradeType = mapIncomeExpenseToTradeType(incomeExpense);\r\n transaction.setTradeType(tradeType);\r\n\r\n // 3. 金额（元）\r\n Cell amountCell = row.getCell(ColumnIndex.AMOUNT);\r\n try {\r\n BigDecimal amount = parseAmount(ExcelCellUtil.getCellValue(amountCell));\r\n\r\n transaction.setAmount(amount);\r\n } catch (Exception e) {\r\n throw new RuntimeException(\"金额格式错误: \" + ExcelCellUtil.getCellValue(amountCell));\r\n }\r\n\r\n // 4. 收/付款方式\r\n String paymentMethod = ExcelCellUtil.getCellValue(row.getCell(ColumnIndex.PAYMENT_METHOD));\r\n\r\n\r\n // 标准化支付方式\r\n String standardizedPaymentMethod = standardizePaymentMethod(paymentMethod);\r\n\r\n // 5. 交易单号\r\n String tradeOrderNo = cleanDouyinString(ExcelCellUtil.getCellValue(row.getCell(ColumnIndex.TRADE_ORDER_NO)));\r\n transaction.setTradeOrderNo(tradeOrderNo);\r\n\r\n // 6. 交易对方\r\n String counterparty = ExcelCellUtil.getCellValue(row.getCell(ColumnIndex.COUNTERPARTY));\r\n transaction.setCounterparty(counterparty);\r\n\r\n // 使用交易对方作为商品描述\r\n transaction.setProductDesc(counterparty);\r\n\r\n // 9. 备注（合并交易对方和商家单号信息）\r\n StringBuilder remark = new StringBuilder();\r\n if (counterparty != null && !counterparty.trim().isEmpty()) {\r\n remark.append(\"交易对方: \").append(counterparty);\r\n }\r\n if (paymentMethod != null && !paymentMethod.trim().isEmpty()) {\r\n if (remark.length() > 0) remark.append(\" | \");\r\n remark.append(\"支付方式: \").append(paymentMethod);\r\n }\r\n transaction.setRemark(remark.toString());\r\n\r\n // 验证必要字段\r\n if (transaction.getTradeTime() == null || transaction.getAmount() == null) {\r\n throw new RuntimeException(\"交易时间或金额不能为空\");\r\n }\r\n\r\n return transaction;\r\n }\r\n\r\n /**\r\n * 智能解析日期\r\n */\r\n private Date parseDate(String dateStr) {\r\n if (dateStr == null || dateStr.trim().isEmpty()) {\r\n return null;\r\n }\r\n\r\n // 清理日期字符串\r\n dateStr = dateStr.trim().replace(\".0\", \"\");\r\n\r\n // 抖音常见日期格式\r\n String[] douyinFormats = {\"yyyy-MM-dd HH:mm:ss\", \"yyyy/MM/dd HH:mm:ss\", \"yyyy-MM-dd HH:mm\", \"yyyy/MM/dd HH:mm\", \"yyyy年MM月dd日 HH:mm:ss\", \"yyyy年MM月dd日 HH:mm\", \"yyyyMMdd HH:mm:ss\", \"yyyyMMddHHmmss\"};\r\n\r\n for (String format : douyinFormats) {\r\n try {\r\n SimpleDateFormat sdf = new SimpleDateFormat(format);\r\n sdf.setLenient(false);\r\n return sdf.parse(dateStr);\r\n } catch (Exception e) {\r\n continue;\r\n }\r\n }\r\n\r\n // 尝试解析为Excel日期序号\r\n try {\r\n double excelDateNum = Double.parseDouble(dateStr);\r\n // Excel日期从1900-01-01开始，要减去2天因为Excel的bug\r\n long javaDate = (long) ((excelDateNum - 25569) * 24 * 60 * 60 * 1000);\r\n return new Date(javaDate);\r\n } catch (Exception e) {\r\n // 不是数字格式，继续尝试\r\n }\r\n\r\n // 最后尝试宽松解析\r\n try {\r\n // 尝试提取日期部分\r\n String normalized = dateStr.replace(\"T\", \" \").replace(\"Z\", \"\").replace(\"年\", \"-\").replace(\"月\", \"-\").replace(\"日\", \"\").replace(\"/\", \"-\");\r\n\r\n SimpleDateFormat sdf = new SimpleDateFormat(\"yyyy-MM-dd HH:mm:ss\");\r\n sdf.setLenient(true);\r\n return sdf.parse(normalized);\r\n } catch (Exception e) {\r\n throw new RuntimeException(\"无法解析日期: \" + dateStr);\r\n }\r\n }\r\n\r\n /**\r\n * 解析金额\r\n */\r\n private BigDecimal parseAmount(String amountStr) {\r\n if (amountStr == null || amountStr.trim().isEmpty()) {\r\n return BigDecimal.ZERO;\r\n }\r\n\r\n // 移除常见的干扰字符\r\n String cleaned = amountStr.replace(\",\", \"\").replace(\"¥\", \"\").replace(\"￥\", \"\")\r\n .replace(\"$\", \"\").replace(\"€\", \"\").replace(\"（元）\", \"\")\r\n .replace(\"元\", \"\").replace(\" \", \"\").trim();\r\n\r\n // 检查是否为负数（用括号或负号表示）\r\n boolean isNegative = cleaned.startsWith(\"(\") && cleaned.endsWith(\")\")\r\n || cleaned.startsWith(\"-\") || cleaned.endsWith(\"-\");\r\n\r\n if (cleaned.startsWith(\"(\") && cleaned.endsWith(\")\")) {\r\n cleaned = cleaned.substring(1, cleaned.length() - 1);\r\n }\r\n\r\n if (cleaned.startsWith(\"-\")) {\r\n cleaned = cleaned.substring(1);\r\n }\r\n\r\n try {\r\n BigDecimal amount = new BigDecimal(cleaned);\r\n // 修改点：无论正负，都返回正数\r\n return amount.abs(); // 使用绝对值\r\n } catch (Exception e) {\r\n // 尝试移除更多非数字字符\r\n cleaned = cleaned.replaceAll(\"[^\\\\d.-]\", \"\");\r\n try {\r\n BigDecimal amount = new BigDecimal(cleaned);\r\n // 修改点：无论正负，都返回正数\r\n return amount.abs(); // 使用绝对值\r\n } catch (Exception e2) {\r\n throw new RuntimeException(\"金额格式错误: \" + amountStr);\r\n }\r\n }\r\n }\r\n\r\n /**\r\n * 清理抖音字符串\r\n */\r\n private String cleanDouyinString(String str) {\r\n if (str == null) {\r\n return \"\";\r\n }\r\n\r\n String cleaned = str.trim();\r\n\r\n // 移除包裹的引号\r\n if (cleaned.startsWith(\"\\\"\") && cleaned.endsWith(\"\\\"\")) {\r\n cleaned = cleaned.substring(1, cleaned.length() - 1);\r\n }\r\n\r\n // 移除换行符（商家单号可能包含换行）\r\n cleaned = cleaned.replace(\"\\n\", \"\").replace(\"\\r\", \"\");\r\n\r\n // 移除多余的空格\r\n cleaned = cleaned.replaceAll(\"\\\\s+\", \" \").trim();\r\n\r\n return cleaned;\r\n }\r\n\r\n /**\r\n * 映射收/支类型到交易类型\r\n */\r\n private String mapIncomeExpenseToTradeType(String incomeExpense) {\r\n if (incomeExpense == null) {\r\n return \"其他\";\r\n }\r\n\r\n for (Map.Entry<String, String> entry : TRADE_TYPE_MAPPING.entrySet()) {\r\n if (incomeExpense.contains(entry.getKey())) {\r\n return entry.getValue();\r\n }\r\n }\r\n\r\n return \"其他\";\r\n }\r\n\r\n /**\r\n * 标准化支付方式\r\n */\r\n private String standardizePaymentMethod(String paymentMethod) {\r\n if (paymentMethod == null) {\r\n return \"未知支付方式\";\r\n }\r\n\r\n String cleaned = paymentMethod.trim();\r\n\r\n // 查找映射\r\n for (Map.Entry<String, String> entry : PAYMENT_METHOD_MAPPING.entrySet()) {\r\n if (cleaned.contains(entry.getKey())) {\r\n return entry.getValue();\r\n }\r\n }\r\n\r\n // 提取银行名称（如果有）\r\n if (cleaned.contains(\"银行\")) {\r\n int bankIndex = cleaned.indexOf(\"银行\");\r\n if (bankIndex > 0) {\r\n // 提取银行名称（前2-4个字符）\r\n int start = Math.max(0, bankIndex - 4);\r\n return cleaned.substring(start, bankIndex + 2);\r\n }\r\n }\r\n\r\n return cleaned;\r\n }\r\n\r\n /**\r\n * 转换为统一中间格式\r\n */\r\n public Map<String, Object> toStandardFormat(ConvertResult<Transaction> convertResult) {\r\n Map<String, Object> standardData = new HashMap<>();\r\n\r\n standardData.put(\"source_type\", \"douyin\");\r\n standardData.put(\"convert_time\", new Date());\r\n standardData.put(\"convert_result\", convertResult.getMessage());\r\n\r\n // 转换交易记录\r\n List<Map<String, Object>> transactions = new ArrayList<>();\r\n for (Transaction tx : convertResult.getTransactions()) {\r\n Map<String, Object> record = new HashMap<>();\r\n record.put(\"trade_time\", tx.getTradeTime());\r\n record.put(\"trade_type\", tx.getTradeType());\r\n record.put(\"counterparty\", tx.getCounterparty());\r\n record.put(\"product_desc\", tx.getProductDesc());\r\n record.put(\"income_expense\", tx.getIncomeExpense());\r\n record.put(\"amount\", tx.getAmount());\r\n record.put(\"trade_order_no\", tx.getTradeOrderNo());\r\n record.put(\"remark\", tx.getRemark());\r\n\r\n transactions.add(record);\r\n }\r\n\r\n standardData.put(\"transactions\", transactions);\r\n standardData.put(\"metadata\", convertResult.getMetadata());\r\n standardData.put(\"statistics\", Map.of(\"total\", convertResult.getTotalRows(), \"valid\", convertResult.getValidRows(), \"skipped\", convertResult.getSkippedRows(), \"errors\", convertResult.getErrorRows()));\r\n\r\n return standardData;\r\n }\r\n}"}],"isError":false,"timestamp":1778564728877}}
|
||
{"type":"message","id":"d81afc98","parentId":"899c52ab","timestamp":"2026-05-12T05:45:28.878Z","message":{"role":"toolResult","toolCallId":"call_04_h8g5LHSRzKU9HVgpaliz7079","toolName":"read","content":[{"type":"text","text":"package cn.iocoder.yudao.module.family.converter;\r\n\r\nimport cn.hutool.core.util.StrUtil;\r\nimport cn.iocoder.yudao.module.family.converter.constants.BankConstants;\r\nimport cn.iocoder.yudao.module.family.converter.model.ConvertResult;\r\nimport cn.iocoder.yudao.module.family.converter.model.Transaction;\r\nimport cn.iocoder.yudao.module.family.utils.AmountParserUtil;\r\nimport cn.iocoder.yudao.module.family.utils.ExcelCellUtil;\r\nimport cn.iocoder.yudao.module.family.utils.ExcelUtils;\r\nimport cn.iocoder.yudao.module.family.utils.TransactionCategoryUtils;\r\nimport lombok.extern.slf4j.Slf4j;\r\nimport org.apache.poi.ss.usermodel.Cell;\r\nimport org.apache.poi.ss.usermodel.Row;\r\nimport org.apache.poi.ss.usermodel.Sheet;\r\nimport org.apache.poi.ss.usermodel.Workbook;\r\nimport org.apache.poi.xssf.usermodel.XSSFWorkbook;\r\nimport org.springframework.stereotype.Component;\r\nimport org.springframework.web.multipart.MultipartFile;\r\n\r\nimport java.io.InputStream;\r\nimport java.math.BigDecimal;\r\nimport java.text.SimpleDateFormat;\r\nimport java.util.ArrayList;\r\nimport java.util.Collections;\r\nimport java.util.Date;\r\nimport java.util.HashMap;\r\nimport java.util.List;\r\nimport java.util.Map;\r\n\r\n/**\r\n * 邮储银行(PSBC)专用Excel解析器\r\n */\r\n@Component\r\n@Slf4j\r\npublic class PSBCBankExcelConverter {\r\n\r\n // 常量定义\r\n private static final int HEADER_ROW_NUM = 1; // 第1行为标题行（1-based）\r\n private static final int DATA_START_ROW = 2; // 第2行开始为数据（1-based）\r\n\r\n /**\r\n * 检测是否为邮储银行文件\r\n */\r\n private boolean isPSBCFile(Sheet sheet, Map<String, Object> metadata) {\r\n Row headerRow = sheet.getRow(HEADER_ROW_NUM - 1);\r\n if (headerRow == null) {\r\n metadata.put(\"detectedBy\", \"no header row\");\r\n return false;\r\n }\r\n\r\n // 获取标题行的所有列值\r\n List<String> headerValues = new ArrayList<>();\r\n for (int i = 0; i < Math.min(headerRow.getLastCellNum(), 30); i++) {\r\n Cell cell = headerRow.getCell(i);\r\n headerValues.add(ExcelCellUtil.getCellValue(cell));\r\n }\r\n\r\n String headerText = String.join(\" \", headerValues).toLowerCase();\r\n metadata.put(\"headerText\", headerText);\r\n metadata.put(\"headerValues\", headerValues);\r\n\r\n // 检查标题行是否匹配邮储银行格式\r\n int psbcMatchCount = calculateHeaderMatchCount(headerRow, BankConstants.PSBC.EXPECTED_HEADERS);\r\n double psbcMatchRate = (double) psbcMatchCount / BankConstants.PSBC.EXPECTED_HEADERS.length;\r\n metadata.put(\"psbcMatchCount\", psbcMatchCount);\r\n metadata.put(\"psbcMatchRate\", psbcMatchRate);\r\n\r\n boolean isPSBC = psbcMatchRate >= 0.7; // 匹配率达到70%以上\r\n\r\n if (isPSBC) {\r\n metadata.put(\"detectedBy\", \"PSBC header match\");\r\n metadata.put(\"matchRate\", psbcMatchRate);\r\n return true;\r\n }\r\n\r\n // 检查标题中是否包含银行关键词\r\n if (headerText.contains(\"邮储银行\") || headerText.contains(\"邮政储蓄\") || headerText.contains(\"psbc\") || headerText.contains(\"邮储\")) {\r\n metadata.put(\"detectedBy\", \"PSBC keyword in header\");\r\n return true;\r\n }\r\n\r\n // 检查文件名的银行关键词\r\n String fileName = (String) metadata.get(\"fileName\");\r\n if (fileName != null) {\r\n String lowerFileName = fileName.toLowerCase();\r\n if (lowerFileName.contains(\"邮储\") || lowerFileName.contains(\"邮政\") || lowerFileName.contains(\"psbc\")) {\r\n metadata.put(\"detectedBy\", \"PSBC keyword in filename\");\r\n return true;\r\n }\r\n }\r\n\r\n metadata.put(\"detectedBy\", \"not PSBC\");\r\n return false;\r\n }\r\n\r\n /**\r\n * 计算标题行匹配数\r\n */\r\n private int calculateHeaderMatchCount(Row headerRow, String[] expectedHeaders) {\r\n int matchCount = 0;\r\n\r\n for (int i = 0; i < expectedHeaders.length; i++) {\r\n if (i >= headerRow.getLastCellNum()) {\r\n break;\r\n }\r\n\r\n Cell cell = headerRow.getCell(i);\r\n String actualValue = ExcelCellUtil.getCellValue(cell);\r\n String expectedValue = expectedHeaders[i];\r\n\r\n if (expectedValue.equals(actualValue) || actualValue.contains(expectedValue) || expectedValue.contains(actualValue)) {\r\n matchCount++;\r\n } else if (i == 0) {\r\n // 第一列必须匹配，否则直接返回0\r\n return 0;\r\n }\r\n }\r\n\r\n return matchCount;\r\n }\r\n\r\n /**\r\n * 转换邮储银行Excel文件\r\n */\r\n public ConvertResult<Transaction> convert(MultipartFile file) {\r\n ConvertResult<Transaction> result = new ConvertResult<>();\r\n List<Transaction> transactions = new ArrayList<>();\r\n List<String> errors = new ArrayList<>();\r\n Map<String, Object> metadata = new HashMap<>();\r\n\r\n if (file.isEmpty()) {\r\n result.setSuccess(false);\r\n result.setMessage(\"文件为空\");\r\n return result;\r\n }\r\n\r\n try (InputStream is = file.getInputStream(); Workbook workbook = new XSSFWorkbook(is)) {\r\n\r\n Sheet sheet = workbook.getSheetAt(0);\r\n int lastRowNum = sheet.getLastRowNum();\r\n\r\n // 元数据\r\n metadata.put(\"fileName\", file.getOriginalFilename());\r\n metadata.put(\"sheetName\", sheet.getSheetName());\r\n metadata.put(\"totalRows\", lastRowNum + 1);\r\n metadata.put(\"fileSize\", file.getSize());\r\n\r\n // 1. 检测是否为邮储银行文件\r\n boolean isPSBC = isPSBCFile(sheet, metadata);\r\n if (!isPSBC) {\r\n result.setSuccess(false);\r\n result.setMessage(\"不是邮储银行格式文件，请确认文件第一行是否为邮储银行流水标题行\");\r\n result.setErrors(errors);\r\n result.setMetadata(metadata);\r\n return result;\r\n }\r\n\r\n metadata.put(\"bankType\", \"PSBC\");\r\n metadata.put(\"bankName\", \"邮储银行\");\r\n\r\n // 2. 从第2行开始解析数据\r\n int validRows = 0;\r\n int skippedRows = 0;\r\n int errorRows = 0;\r\n\r\n for (int rowNum = DATA_START_ROW - 1; rowNum <= lastRowNum; rowNum++) {\r\n Row row = sheet.getRow(rowNum);\r\n if (row == null) {\r\n skippedRows++;\r\n continue;\r\n }\r\n\r\n if (ExcelUtils.isEmptyRow(row)) {\r\n skippedRows++;\r\n continue;\r\n }\r\n\r\n try {\r\n Transaction transaction = parsePSBCRow(row, rowNum + 1);\r\n if (transaction != null) {\r\n transaction.setSourceType(\"psbc\");\r\n transactions.add(transaction);\r\n validRows++;\r\n } else {\r\n errorRows++;\r\n errors.add(String.format(\"第%d行: 解析失败，数据不完整\", rowNum + 1));\r\n }\r\n } catch (Exception e) {\r\n errorRows++;\r\n errors.add(String.format(\"第%d行: %s\", rowNum + 1, e.getMessage()));\r\n log.warn(\"解析邮储银行流水第{}行失败: {}\", rowNum + 1, e.getMessage());\r\n }\r\n }\r\n\r\n // 3. 设置结果\r\n result.setSuccess(true);\r\n result.setMessage(String.format(\"邮储银行流水 - 成功解析%d条记录，跳过%d行，失败%d行\", validRows, skippedRows, errorRows));\r\n result.setTransactions(transactions);\r\n result.setErrors(errors);\r\n result.setMetadata(metadata);\r\n result.setTotalRows(lastRowNum + 1);\r\n result.setValidRows(validRows);\r\n result.setSkippedRows(skippedRows);\r\n result.setErrorRows(errorRows);\r\n\r\n log.info(\"邮储银行流水转换完成: {} 条有效记录\", validRows);\r\n\r\n } catch (Exception e) {\r\n log.error(\"转换邮储银行Excel文件失败\", e);\r\n result.setSuccess(false);\r\n result.setMessage(\"文件解析失败: \" + e.getMessage());\r\n result.setErrors(Collections.singletonList(e.getMessage()));\r\n result.setMetadata(metadata);\r\n }\r\n\r\n return result;\r\n }\r\n\r\n /**\r\n * 解析邮储银行单行数据\r\n */\r\n private Transaction parsePSBCRow(Row row, int rowNumber) {\r\n Transaction transaction = new Transaction();\r\n\r\n try {\r\n // 1. 交易时间（可能包含换行符，如 \"2026-03-31\\n14:38:37\"）\r\n Cell dateCell = row.getCell(BankConstants.PSBC.ColumnIndex.TRADE_DATE);\r\n String dateStr = cleanDateString(ExcelCellUtil.getCellValue(dateCell));\r\n if (StrUtil.isBlank(dateStr)) {\r\n throw new RuntimeException(\"交易时间不能为空\");\r\n }\r\n Date tradeTime = parseDate(dateStr);\r\n transaction.setTradeTime(tradeTime);\r\n\r\n // 2. 交易单号：优先使用外部系统流水，其次使用子账号\r\n String externalSerialNo = ExcelCellUtil.getCellValue(row.getCell(BankConstants.PSBC.ColumnIndex.EXTERNAL_SERIAL_NO));\r\n if (StrUtil.isNotBlank(externalSerialNo)) {\r\n // 外部系统流水可能包含换行符，需要清理\r\n externalSerialNo = cleanDateString(externalSerialNo);\r\n transaction.setTradeOrderNo(externalSerialNo);\r\n } else {\r\n String subAccount = ExcelCellUtil.getCellValue(row.getCell(BankConstants.PSBC.ColumnIndex.SUB_ACCOUNT));\r\n transaction.setTradeOrderNo(subAccount);\r\n }\r\n\r\n // 3. 金额和收支类型\r\n Cell amountCell = row.getCell(BankConstants.PSBC.ColumnIndex.AMOUNT);\r\n String amountStr = ExcelCellUtil.getCellValue(amountCell);\r\n if (StrUtil.isBlank(amountStr)) {\r\n throw new RuntimeException(\"交易金额不能为空\");\r\n }\r\n BigDecimal amount = parseBankAmount(amountStr);\r\n transaction.setAmount(amount.abs());\r\n\r\n // 判断收支类型\r\n if (amountStr.contains(\"+\") || amount.compareTo(BigDecimal.ZERO) > 0) {\r\n transaction.setIncomeExpense(\"收入\");\r\n } else if (amountStr.contains(\"-\") || amount.compareTo(BigDecimal.ZERO) < 0) {\r\n transaction.setIncomeExpense(\"支出\");\r\n } else {\r\n // 默认根据金额符号判断\r\n transaction.setIncomeExpense(amount.compareTo(BigDecimal.ZERO) >= 0 ? \"收入\" : \"支出\");\r\n }\r\n\r\n // 4. 交易余额\r\n String balance = ExcelCellUtil.getCellValue(row.getCell(BankConstants.PSBC.ColumnIndex.BALANCE));\r\n StringBuilder remarkBuilder = new StringBuilder();\r\n if (StrUtil.isNotBlank(balance)) {\r\n remarkBuilder.append(\"余额: \").append(balance);\r\n }\r\n\r\n // 5. 交易摘要\r\n String summary = ExcelCellUtil.getCellValue(row.getCell(BankConstants.PSBC.ColumnIndex.SUMMARY));\r\n transaction.setProductDesc(summary);\r\n\r\n // 6. 交易渠道\r\n String channel = ExcelCellUtil.getCellValue(row.getCell(BankConstants.PSBC.ColumnIndex.CHANNEL));\r\n transaction.setTradeType(channel);\r\n\r\n // 7. 对方户名\r\n String counterpartyName = ExcelCellUtil.getCellValue(row.getCell(BankConstants.PSBC.ColumnIndex.COUNTERPARTY_NAME));\r\n transaction.setCounterparty(counterpartyName);\r\n\r\n // 8. 对方账号（放入备注）\r\n String counterpartyAccount = ExcelCellUtil.getCellValue(row.getCell(BankConstants.PSBC.ColumnIndex.COUNTERPARTY_ACCOUNT));\r\n if (StrUtil.isNotBlank(counterpartyAccount)) {\r\n if (remarkBuilder.length() > 0) remarkBuilder.append(\"; \");\r\n remarkBuilder.append(\"对方账号: \").append(counterpartyAccount);\r\n }\r\n\r\n // 9. 储种信息（放入备注）\r\n String depositType = ExcelCellUtil.getCellValue(row.getCell(BankConstants.PSBC.ColumnIndex.DEPOSIT_TYPE));\r\n if (StrUtil.isNotBlank(depositType)) {\r\n if (remarkBuilder.length() > 0) remarkBuilder.append(\"; \");\r\n remarkBuilder.append(\"储种: \").append(depositType);\r\n }\r\n\r\n // 10. 币种和钞汇信息（放入备注）\r\n\n⚠️ [... middle content omitted — showing head and tail ...]\n\n transaction.setIncomeExpense(\"支出\");\r\n }\r\n\r\n return transaction;\r\n } catch (Exception e) {\r\n throw new RuntimeException(\"解析失败: \" + e.getMessage());\r\n }\r\n }\r\n\r\n /**\r\n * 清理字符串（处理换行符、多余空格）\r\n */\r\n private String cleanDateString(String str) {\r\n if (str == null) return null;\r\n return str.replace(\"\\n\", \" \").replace(\"\\r\", \" \").replaceAll(\"\\\\s+\", \" \").trim();\r\n }\r\n\r\n /**\r\n * 解析日期（支持换行符分隔的日期时间）\r\n */\r\n private Date parseDate(String dateStr) {\r\n if (StrUtil.isBlank(dateStr)) {\r\n return null;\r\n }\r\n\r\n dateStr = cleanDateString(dateStr);\r\n\r\n // 尝试所有格式\r\n for (String format : BankConstants.DATE_FORMATS) {\r\n try {\r\n SimpleDateFormat sdf = new SimpleDateFormat(format);\r\n sdf.setLenient(false);\r\n return sdf.parse(dateStr);\r\n } catch (Exception e) {\r\n continue;\r\n }\r\n }\r\n\r\n // 尝试宽松解析\r\n try {\r\n String normalized = dateStr.replace(\"T\", \" \").replace(\"Z\", \"\").replace(\"年\", \"-\").replace(\"月\", \"-\").replace(\"日\", \"\").replace(\"/\", \"-\");\r\n SimpleDateFormat sdf = new SimpleDateFormat(\"yyyy-MM-dd HH:mm:ss\");\r\n sdf.setLenient(true);\r\n return sdf.parse(normalized);\r\n } catch (Exception e) {\r\n throw new RuntimeException(\"无法解析日期: \" + dateStr);\r\n }\r\n }\r\n\r\n /**\r\n * 解析银行金额\r\n */\r\n private BigDecimal parseBankAmount(String amountStr) {\r\n if (StrUtil.isBlank(amountStr)) {\r\n return BigDecimal.ZERO;\r\n }\r\n\r\n String cleaned = amountStr.replace(\",\", \"\").replace(\"¥\", \"\").replace(\"￥\", \"\").replace(\"元\", \"\").replace(\" \", \"\").trim();\r\n\r\n // 处理括号表示负数\r\n if (cleaned.startsWith(\"(\") && cleaned.endsWith(\")\")) {\r\n cleaned = \"-\" + cleaned.substring(1, cleaned.length() - 1);\r\n }\r\n\r\n // 处理带+/-符号\r\n if (cleaned.startsWith(\"+\")) {\r\n cleaned = cleaned.substring(1);\r\n }\r\n\r\n try {\r\n return new BigDecimal(cleaned);\r\n } catch (Exception e) {\r\n cleaned = cleaned.replaceAll(\"[^\\\\d.-]\", \"\");\r\n try {\r\n return new BigDecimal(cleaned);\r\n } catch (Exception e2) {\r\n throw new RuntimeException(\"金额格式错误: \" + amountStr);\r\n }\r\n }\r\n }\r\n\r\n /**\r\n * 转换为统一中间格式\r\n */\r\n public Map<String, Object> toStandardFormat(ConvertResult<Transaction> convertResult) {\r\n Map<String, Object> standardData = new HashMap<>();\r\n\r\n standardData.put(\"source_type\", \"bank\");\r\n standardData.put(\"convert_time\", new Date());\r\n standardData.put(\"convert_result\", convertResult.getMessage());\r\n\r\n List<Map<String, Object>> transactions = new ArrayList<>();\r\n for (Transaction tx : convertResult.getTransactions()) {\r\n Map<String, Object> record = new HashMap<>();\r\n record.put(\"trade_time\", tx.getTradeTime());\r\n record.put(\"trade_type\", tx.getTradeType());\r\n record.put(\"counterparty\", tx.getCounterparty());\r\n record.put(\"product_desc\", tx.getProductDesc());\r\n record.put(\"income_expense\", tx.getIncomeExpense());\r\n record.put(\"amount\", tx.getAmount());\r\n record.put(\"trade_order_no\", tx.getTradeOrderNo());\r\n record.put(\"remark\", tx.getRemark());\r\n record.put(\"source_type\", tx.getSourceType());\r\n\r\n transactions.add(record);\r\n }\r\n\r\n standardData.put(\"transactions\", transactions);\r\n standardData.put(\"metadata\", convertResult.getMetadata());\r\n standardData.put(\"statistics\", Map.of(\"total\", convertResult.getTotalRows(), \"valid\", convertResult.getValidRows(), \"skipped\", convertResult.getSkippedRows(), \"errors\", convertResult.getErrorRows()));\r\n\r\n return standardData;\r\n }\r\n}[... 1681 more characters truncated]"}],"isError":false,"timestamp":1778564728877}}
|
||
{"type":"message","id":"31239da2","parentId":"d81afc98","timestamp":"2026-05-12T05:45:28.878Z","message":{"role":"toolResult","toolCallId":"call_05_07ltrdIwwdGiDsTrmp6c7829","toolName":"read","content":[{"type":"text","text":"package cn.iocoder.yudao.module.family.converter;\r\n\r\nimport cn.hutool.core.util.StrUtil;\r\nimport cn.iocoder.yudao.module.family.converter.constants.BankConstants;\r\nimport cn.iocoder.yudao.module.family.converter.model.ConvertResult;\r\nimport cn.iocoder.yudao.module.family.converter.model.Transaction;\r\nimport cn.iocoder.yudao.module.family.utils.AmountParserUtil;\r\nimport cn.iocoder.yudao.module.family.utils.ExcelCellUtil;\r\nimport cn.iocoder.yudao.module.family.utils.ExcelUtils;\r\nimport cn.iocoder.yudao.module.family.utils.TransactionCategoryUtils;\r\nimport lombok.extern.slf4j.Slf4j;\r\nimport org.apache.poi.ss.usermodel.Cell;\r\nimport org.apache.poi.ss.usermodel.Row;\r\nimport org.apache.poi.ss.usermodel.Sheet;\r\nimport org.apache.poi.ss.usermodel.Workbook;\r\nimport org.apache.poi.xssf.usermodel.XSSFWorkbook;\r\nimport org.springframework.stereotype.Component;\r\nimport org.springframework.web.multipart.MultipartFile;\r\n\r\nimport java.io.InputStream;\r\nimport java.math.BigDecimal;\r\nimport java.text.SimpleDateFormat;\r\nimport java.util.ArrayList;\r\nimport java.util.Collections;\r\nimport java.util.Date;\r\nimport java.util.HashMap;\r\nimport java.util.List;\r\nimport java.util.Map;\r\n\r\n/**\r\n * 工商银行(ICBC)专用Excel解析器\r\n */\r\n@Component\r\n@Slf4j\r\npublic class ICBCBankExcelConverter {\r\n\r\n // 常量定义\r\n private static final int HEADER_ROW_NUM = 1; // 第1行为标题行（1-based）\r\n private static final int DATA_START_ROW = 2; // 第2行开始为数据（1-based）\r\n\r\n /**\r\n * 检测是否为工商银行文件\r\n */\r\n private boolean isICBCFile(Sheet sheet, Map<String, Object> metadata) {\r\n Row headerRow = sheet.getRow(HEADER_ROW_NUM - 1); // 第一行（0-based索引）\r\n if (headerRow == null) {\r\n metadata.put(\"detectedBy\", \"no header row\");\r\n return false;\r\n }\r\n\r\n // 获取标题行的所有列值\r\n List<String> headerValues = new ArrayList<>();\r\n for (int i = 0; i < Math.min(headerRow.getLastCellNum(), 30); i++) { // 最多检查30列\r\n Cell cell = headerRow.getCell(i);\r\n headerValues.add(ExcelCellUtil.getCellValue(cell));\r\n }\r\n\r\n String headerText = String.join(\" \", headerValues).toLowerCase();\r\n metadata.put(\"headerText\", headerText);\r\n metadata.put(\"headerValues\", headerValues);\r\n\r\n // 检查标题行是否匹配工商银行格式\r\n int icbcMatchCount = calculateHeaderMatchCount(headerRow, BankConstants.ICBC.EXPECTED_HEADERS);\r\n double icbcMatchRate = (double) icbcMatchCount / BankConstants.ICBC.EXPECTED_HEADERS.length;\r\n metadata.put(\"icbcMatchCount\", icbcMatchCount);\r\n metadata.put(\"icbcMatchRate\", icbcMatchRate);\r\n\r\n boolean isICBC = icbcMatchRate >= 0.8; // 匹配率达到80%以上\r\n\r\n if (isICBC) {\r\n metadata.put(\"detectedBy\", \"ICBC header match\");\r\n metadata.put(\"matchRate\", icbcMatchRate);\r\n return true;\r\n }\r\n\r\n // 检查标题中是否包含银行关键词（备用检测）\r\n if (headerText.contains(\"工商银行\") || headerText.contains(\"icbc\") || headerText.contains(\"工行\")) {\r\n metadata.put(\"detectedBy\", \"ICBC keyword in header\");\r\n return true;\r\n }\r\n\r\n // 检查文件名的银行关键词\r\n String fileName = (String) metadata.get(\"fileName\");\r\n if (fileName != null) {\r\n String lowerFileName = fileName.toLowerCase();\r\n if (lowerFileName.contains(\"工行\") || lowerFileName.contains(\"icbc\") || lowerFileName.contains(\"工商\")) {\r\n metadata.put(\"detectedBy\", \"ICBC keyword in filename\");\r\n return true;\r\n }\r\n }\r\n\r\n metadata.put(\"detectedBy\", \"not ICBC\");\r\n return false;\r\n }\r\n\r\n /**\r\n * 计算标题行匹配数\r\n */\r\n private int calculateHeaderMatchCount(Row headerRow, String[] expectedHeaders) {\r\n int matchCount = 0;\r\n\r\n for (int i = 0; i < expectedHeaders.length; i++) {\r\n if (i >= headerRow.getLastCellNum()) {\r\n break; // 超出实际列数\r\n }\r\n\r\n Cell cell = headerRow.getCell(i);\r\n String actualValue = ExcelCellUtil.getCellValue(cell);\r\n String expectedValue = expectedHeaders[i];\r\n\r\n // 精确匹配或包含关系（考虑到可能有空格等差异）\r\n if (expectedValue.equals(actualValue) || actualValue.contains(expectedValue) || expectedValue.contains(actualValue)) {\r\n matchCount++;\r\n } else if (i == 0) {\r\n // 第一列必须匹配，否则直接返回0\r\n return 0;\r\n }\r\n }\r\n\r\n return matchCount;\r\n }\r\n\r\n /**\r\n * 转换工商银行Excel文件\r\n */\r\n public ConvertResult<Transaction> convert(MultipartFile file) {\r\n ConvertResult<Transaction> result = new ConvertResult<>();\r\n List<Transaction> transactions = new ArrayList<>();\r\n List<String> errors = new ArrayList<>();\r\n Map<String, Object> metadata = new HashMap<>();\r\n\r\n if (file.isEmpty()) {\r\n result.setSuccess(false);\r\n result.setMessage(\"文件为空\");\r\n return result;\r\n }\r\n\r\n try (InputStream is = file.getInputStream(); Workbook workbook = new XSSFWorkbook(is)) {\r\n\r\n Sheet sheet = workbook.getSheetAt(0);\r\n int lastRowNum = sheet.getLastRowNum();\r\n\r\n // 元数据\r\n metadata.put(\"fileName\", file.getOriginalFilename());\r\n metadata.put(\"sheetName\", sheet.getSheetName());\r\n metadata.put(\"totalRows\", lastRowNum + 1);\r\n metadata.put(\"fileSize\", file.getSize());\r\n\r\n // 1. 检测是否为工商银行文件\r\n boolean isICBC = isICBCFile(sheet, metadata);\r\n if (!isICBC) {\r\n result.setSuccess(false);\r\n result.setMessage(\"不是工商银行格式文件，请确认文件第一行是否为工商银行流水标题行\");\r\n result.setErrors(errors);\r\n result.setMetadata(metadata);\r\n return result;\r\n }\r\n\r\n metadata.put(\"bankType\", \"ICBC\");\r\n metadata.put(\"bankName\", \"工商银行\");\r\n\r\n // 2. 从第2行开始解析数据（第一行是标题）\r\n int validRows = 0;\r\n int skippedRows = 0;\r\n int errorRows = 0;\r\n\r\n for (int rowNum = DATA_START_ROW - 1; rowNum <= lastRowNum; rowNum++) {\r\n Row row = sheet.getRow(rowNum);\r\n if (row == null) {\r\n skippedRows++;\r\n continue;\r\n }\r\n\r\n // 检查是否为空行\r\n if (ExcelUtils.isEmptyRow(row)) {\r\n skippedRows++;\r\n continue;\r\n }\r\n\r\n try {\r\n Transaction transaction = parseICBCRow(row, rowNum + 1);\r\n if (transaction != null) {\r\n transaction.setSourceType(\"icbc\");\r\n transactions.add(transaction);\r\n validRows++;\r\n } else {\r\n errorRows++;\r\n errors.add(String.format(\"第%d行: 解析失败，数据不完整\", rowNum + 1));\r\n }\r\n } catch (Exception e) {\r\n errorRows++;\r\n errors.add(String.format(\"第%d行: %s\", rowNum + 1, e.getMessage()));\r\n log.warn(\"解析工商银行流水第{}行失败: {}\", rowNum + 1, e.getMessage());\r\n }\r\n }\r\n\r\n // 3. 设置结果\r\n result.setSuccess(true);\r\n result.setMessage(String.format(\"工商银行流水 - 成功解析%d条记录，跳过%d行，失败%d行\", validRows, skippedRows, errorRows));\r\n result.setTransactions(transactions);\r\n result.setErrors(errors);\r\n result.setMetadata(metadata);\r\n result.setTotalRows(lastRowNum + 1);\r\n result.setValidRows(validRows);\r\n result.setSkippedRows(skippedRows);\r\n result.setErrorRows(errorRows);\r\n\r\n log.info(\"工商银行流水转换完成: {} 条有效记录\", validRows);\r\n\r\n } catch (Exception e) {\r\n log.error(\"转换工商银行Excel文件失败\", e);\r\n result.setSuccess(false);\r\n result.setMessage(\"文件解析失败: \" + e.getMessage());\r\n result.setErrors(Collections.singletonList(e.getMessage()));\r\n result.setMetadata(metadata);\r\n }\r\n\r\n return result;\r\n }\r\n\r\n /**\r\n * 解析工商银行单行数据\r\n */\r\n private Transaction parseICBCRow(Row row, int rowNumber) {\r\n Transaction transaction = new Transaction();\r\n\r\n try {\r\n // 1. 交易时间（处理换行符）\r\n Cell dateCell = row.getCell(BankConstants.ICBC.ColumnIndex.TRADE_DATE);\r\n String dateStr = cleanDateString(ExcelCellUtil.getCellValue(dateCell));\r\n if (dateStr == null || dateStr.isEmpty()) {\r\n throw new RuntimeException(\"交易日期不能为空\");\r\n }\r\n Date tradeTime = parseDate(dateStr);\r\n transaction.setTradeTime(tradeTime);\r\n\r\n // 2. 账号（作为交易单号）\r\n String account = ExcelCellUtil.getCellValue(row.getCell(BankConstants.ICBC.ColumnIndex.COUNTERPARTY_ACCOUNT));\r\n if (account != null && !account.isEmpty()) {\r\n transaction.setTradeOrderNo(account);\r\n }\r\n\r\n // 3. 金额和收支类型\r\n Cell amountCell = row.getCell(BankConstants.ICBC.ColumnIndex.AMOUNT);\r\n String amountStr = ExcelCellUtil.getCellValue(amountCell);\r\n if (amountStr == null || amountStr.isEmpty()) {\r\n throw new RuntimeException(\"收入/支出金额不能为空\");\r\n }\r\n BigDecimal amount = parseBankAmount(amountStr);\r\n transaction.setAmount(amount.abs());\r\n\r\n // 判断收支类型\r\n if (amountStr.contains(\"+\")) {\r\n transaction.setIncomeExpense(\"收入\");\r\n } else if (amountStr.contains(\"-\")) {\r\n transaction.setIncomeExpense(\"支出\");\r\n } else if (amount.compareTo(BigDecimal.ZERO) < 0) {\r\n transaction.setIncomeExpense(\"支出\");\r\n } else {\r\n transaction.setIncomeExpense(\"收入\");\r\n }\r\n\r\n // 4. 余额\r\n String balance = ExcelCellUtil.getCellValue(row.getCell(BankConstants.ICBC.ColumnIndex.BALANCE));\r\n StringBuilder remarkBuilder = new StringBuilder();\r\n if (balance != null && !balance.isEmpty()) {\r\n remarkBuilder.append(\"余额: \").append(balance);\r\n }\r\n\r\n // 5. 交易摘要\r\n transaction.setProductDesc(ExcelCellUtil.getCellValue(row.getCell(BankConstants.ICBC.ColumnIndex.SUMMARY)));\r\n transaction.setTradeType(ExcelCellUtil.getCellValue(row.getCell(BankConstants.ICBC.ColumnIndex.CHANNEL)));\r\n\r\n // 6. 地区\r\n String region = ExcelCellUtil.getCellValue(row.getCell(BankConstants.ICBC.ColumnIndex.REGION));\r\n if (region != null && !region.trim().isEmpty()) {\r\n if (remarkBuilder.length() > 0) remarkBuilder.append(\"; \");\r\n remarkBuilder.append(\"地区: \").append(region);\r\n }\r\n\r\n // 7. 对方户名\r\n transaction.setCounterparty(ExcelCellUtil.getCellValue(row.getCell(BankConstants.ICBC.ColumnIndex.COUNTERPARTY_NAME)));\r\n\r\n // 8. 对方账号\r\n String counterpartyAccount = ExcelCellUtil.getCellValue(row.getCell(BankConstants.ICBC.ColumnIndex.COUNTERPARTY_ACCOUNT));\r\n if (counterpartyAccount != null && !counterpartyAccount.trim().isEmpty()) {\r\n if (remarkBuilder.length() > 0) remarkBuilder.append(\"; \");\r\n remarkBuilder.append(\"对方账号: \").append(counterpartyAccount);\r\n }\r\n\r\n // 9. 判断是否为交通出行类交易\r\n transaction.setTradeType(TransactionCategoryUtils.categorizeTransaction(transaction));\r\n\r\n // 设置备注\r\n if (remarkBuilder.length() > 0) {\r\n transaction.setRemark(remarkBuilder.toString());\r\n }\r\n\r\n // 验证必要字段\r\n if (transaction.getTradeTime() == null) {\r\n throw new RuntimeException(\"交易时间不能为空\");\r\n }\r\n if (transaction.getAmount() == null) {\r\n\n⚠️ [... middle content omitted — showing head and tail ...]\n\n }\r\n\r\n /**\r\n * 解析日期\r\n */\r\n private Date parseDate(String dateStr) {\r\n if (dateStr == null || dateStr.trim().isEmpty()) {\r\n return null;\r\n }\r\n\r\n dateStr = cleanDateString(dateStr);\r\n\r\n // 尝试所有格式\r\n for (String format : BankConstants.DATE_FORMATS) {\r\n try {\r\n SimpleDateFormat sdf = new SimpleDateFormat(format);\r\n sdf.setLenient(false);\r\n return sdf.parse(dateStr);\r\n } catch (Exception e) {\r\n continue;\r\n }\r\n }\r\n\r\n // 尝试宽松解析\r\n try {\r\n // 清理日期字符串\r\n String normalized = dateStr.replace(\"T\", \" \").replace(\"Z\", \"\").replace(\"年\", \"-\").replace(\"月\", \"-\").replace(\"日\", \"\")\r\n .replace(\"/\", \"-\");\r\n\r\n SimpleDateFormat sdf = new SimpleDateFormat(\"yyyy-MM-dd HH:mm:ss\");\r\n sdf.setLenient(true);\r\n return sdf.parse(normalized);\r\n } catch (Exception e) {\r\n throw new RuntimeException(\"无法解析日期: \" + dateStr);\r\n }\r\n }\r\n\r\n /**\r\n * 解析银行金额\r\n */\r\n private BigDecimal parseBankAmount(String amountStr) {\r\n if (amountStr == null || amountStr.trim().isEmpty()) {\r\n return BigDecimal.ZERO;\r\n }\r\n\r\n String cleaned = amountStr.replace(\",\", \"\").replace(\"¥\", \"\").replace(\"￥\", \"\").replace(\"元\", \"\").replace(\" \", \"\").trim();\r\n\r\n // 处理括号表示负数的情况\r\n if (cleaned.startsWith(\"(\") && cleaned.endsWith(\")\")) {\r\n cleaned = \"-\" + cleaned.substring(1, cleaned.length() - 1);\r\n }\r\n\r\n // 处理带+/-符号的情况\r\n if (cleaned.startsWith(\"+\")) {\r\n cleaned = cleaned.substring(1);\r\n }\r\n\r\n try {\r\n return new BigDecimal(cleaned);\r\n } catch (Exception e) {\r\n // 尝试提取数字\r\n cleaned = cleaned.replaceAll(\"[^\\\\d.-]\", \"\");\r\n try {\r\n return new BigDecimal(cleaned);\r\n } catch (Exception e2) {\r\n throw new RuntimeException(\"金额格式错误: \" + amountStr);\r\n }\r\n }\r\n }\r\n\r\n /**\r\n * 转换为统一中间格式\r\n */\r\n public Map<String, Object> toStandardFormat(ConvertResult<Transaction> convertResult) {\r\n Map<String, Object> standardData = new HashMap<>();\r\n\r\n standardData.put(\"source_type\", \"bank\");\r\n standardData.put(\"convert_time\", new Date());\r\n standardData.put(\"convert_result\", convertResult.getMessage());\r\n\r\n // 转换交易记录\r\n List<Map<String, Object>> transactions = new ArrayList<>();\r\n for (Transaction tx : convertResult.getTransactions()) {\r\n Map<String, Object> record = new HashMap<>();\r\n record.put(\"trade_time\", tx.getTradeTime());\r\n record.put(\"trade_type\", tx.getTradeType());\r\n\r\n if (StrUtil.isNotEmpty(tx.getCounterparty())) {\r\n tx.setCounterparty(tx.getCounterparty().replaceAll(\"（特约）\", \"\"));\r\n if (StrUtil.equals(\"杨轩\", tx.getCounterparty()) && AmountParserUtil.isValidAmount(tx.getAmount())) {\r\n continue;\r\n }\r\n }\r\n record.put(\"counterparty\", tx.getCounterparty());\r\n record.put(\"product_desc\", tx.getProductDesc());\r\n record.put(\"income_expense\", tx.getIncomeExpense());\r\n record.put(\"amount\", tx.getAmount());\r\n record.put(\"trade_order_no\", tx.getTradeOrderNo());\r\n record.put(\"remark\", tx.getRemark());\r\n record.put(\"source_type\", tx.getSourceType());\r\n\r\n transactions.add(record);\r\n }\r\n\r\n standardData.put(\"transactions\", transactions);\r\n standardData.put(\"metadata\", convertResult.getMetadata());\r\n standardData.put(\"statistics\", Map.of(\"total\", convertResult.getTotalRows(), \"valid\", convertResult.getValidRows(), \"skipped\",\r\n convertResult.getSkippedRows(), \"errors\", convertResult.getErrorRows()));\r\n\r\n return standardData;\r\n }\r\n}[... 915 more characters truncated]"}],"isError":false,"timestamp":1778564728877}}
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{"type":"message","id":"fabe0f93","parentId":"31239da2","timestamp":"2026-05-12T05:45:32.973Z","message":{"role":"assistant","content":[{"type":"text","text":"Now I have all the files. Let me set up a plan and start making the changes systematically."},{"type":"toolCall","id":"call_00_JieySOGPlt4oqFnWR4vo2187","name":"update_plan","arguments":{"plan":[{"step":"1. Transaction.java - model class","status":"in_progress"},{"step":"2. TransactionDTO.java - DTO","status":"pending"},{"step":"3. ExpenseReportQuery.java - DTO","status":"pending"},{"step":"4. DateParserUtil.java - utility class","status":"pending"},{"step":"5. DateUtils.java - utility class","status":"pending"},{"step":"6. UniqueSignUtil.java - utility class","status":"pending"},{"step":"7. TransactionServiceImpl.java - service","status":"pending"},{"step":"8. AlipayCSVConverter.java","status":"pending"},{"step":"9. WechatExcelConverter.java","status":"pending"},{"step":"10. CmbCreditCardPDFConverter.java","status":"pending"},{"step":"11. CmbCsvConverter.java","status":"pending"},{"step":"12. JdCsvConverter.java","status":"pending"},{"step":"13. MeituanCsvConverter.java","status":"pending"},{"step":"14. DouyinExcelConverter.java","status":"pending"},{"step":"15. PSBCBankExcelConverter.java","status":"pending"},{"step":"16. ICBCBankExcelConverter.java","status":"pending"}]}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":30259,"output":372,"cacheRead":35200,"cacheWrite":0,"totalTokens":65831,"cost":{"input":0.030258999999999998,"output":0.000744,"cacheRead":0,"cacheWrite":0,"total":0.031003}},"stopReason":"toolUse","timestamp":1778564728879,"responseId":"a896a3c7-51ee-4237-8b80-4188d7fa733d","responseModel":"deepseek-v4-flash"}}
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{"type":"message","id":"d828df88","parentId":"fabe0f93","timestamp":"2026-05-12T05:45:32.978Z","message":{"role":"toolResult","toolCallId":"call_00_JieySOGPlt4oqFnWR4vo2187","toolName":"update_plan","content":[],"details":{"status":"updated","plan":[{"step":"1. Transaction.java - model class","status":"in_progress"},{"step":"2. TransactionDTO.java - DTO","status":"pending"},{"step":"3. ExpenseReportQuery.java - DTO","status":"pending"},{"step":"4. DateParserUtil.java - utility class","status":"pending"},{"step":"5. DateUtils.java - utility class","status":"pending"},{"step":"6. UniqueSignUtil.java - utility class","status":"pending"},{"step":"7. TransactionServiceImpl.java - service","status":"pending"},{"step":"8. AlipayCSVConverter.java","status":"pending"},{"step":"9. WechatExcelConverter.java","status":"pending"},{"step":"10. CmbCreditCardPDFConverter.java","status":"pending"},{"step":"11. CmbCsvConverter.java","status":"pending"},{"step":"12. JdCsvConverter.java","status":"pending"},{"step":"13. MeituanCsvConverter.java","status":"pending"},{"step":"14. DouyinExcelConverter.java","status":"pending"},{"step":"15. PSBCBankExcelConverter.java","status":"pending"},{"step":"16. ICBCBankExcelConverter.java","status":"pending"}]},"isError":false,"timestamp":1778564732978}}
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{"type":"message","id":"c3f6e198","parentId":"d828df88","timestamp":"2026-05-12T05:45:35.900Z","message":{"role":"assistant","content":[{"type":"text","text":"Starting with Transaction.java:"},{"type":"toolCall","id":"call_00_Bq27NdR6GL2WpovLVQmb4046","name":"edit","arguments":{"path":"/home/yangxuan/Projects/IdeaProjects/ruoyi-vue-pro/yudao-module-family/src/main/java/cn/iocoder/yudao/module/family/converter/model/Transaction.java","edits":[{"oldText":"import java.util.Date;","newText":"import java.time.LocalDateTime;"},{"oldText":" private Date tradeTime; // 交易时间（必须）","newText":" private LocalDateTime tradeTime; // 交易时间（必须）"},{"oldText":" private Date createTime; // 创建时间\n private Date updateTime; // 更新时间","newText":" private LocalDateTime createTime; // 创建时间\n private LocalDateTime updateTime; // 更新时间"}]}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":390,"output":230,"cacheRead":65408,"cacheWrite":0,"totalTokens":66028,"cost":{"input":0.00039,"output":0.00045999999999999996,"cacheRead":0,"cacheWrite":0,"total":0.00085}},"stopReason":"toolUse","timestamp":1778564732978,"responseId":"802b3ab1-9564-4fdc-925a-df741a6195ff","responseModel":"deepseek-v4-flash"}}
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{"type":"message","id":"3077ed3f","parentId":"c3f6e198","timestamp":"2026-05-12T05:45:35.910Z","message":{"role":"toolResult","toolCallId":"call_00_Bq27NdR6GL2WpovLVQmb4046","toolName":"edit","content":[{"type":"text","text":"Successfully replaced 3 block(s) in /home/yangxuan/Projects/IdeaProjects/ruoyi-vue-pro/yudao-module-family/src/main/java/cn/iocoder/yudao/module/family/converter/model/Transaction.java."}],"details":{"diff":" ...\n 2 \n 3 import lombok.Data;\n 4 \n 5 import java.math.BigDecimal;\n- 6 import java.util.Date;\n+ 6 import java.time.LocalDateTime;\n 7 \n 8 /**\n 9 * @ClassName：Transaction\n 10 * @Description：\n ...\n 18 private Long id; // 主键（数据库自增）\n 19 private String sourceType; // 数据来源：wechat/alipay/cmb/cmb_csv\n 20 \n 21 // ==================== 时间信息 ====================\n-22 private Date tradeTime; // 交易时间（必须）\n+22 private LocalDateTime tradeTime; // 交易时间（必须）\n 23 \n 24 // ==================== 交易核心信息 ====================\n 25 private String tradeType; // 交易类型/分类\n 26 private String counterparty; // 交易对方/对手信息\n ...\n 32 private String tradeOrderNo; // 交易单号/订单号\n 33 private String remark; // 备注\n 34 \n 35 // ==================== 系统字段 ====================\n-36 private Date createTime; // 创建时间\n-37 private Date updateTime; // 更新时间\n+36 private LocalDateTime createTime; // 创建时间\n+37 private LocalDateTime updateTime; // 更新时间\n 38 }","firstChangedLine":6},"isError":false,"timestamp":1778564735910}}
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{"type":"message","id":"17ac07b7","parentId":"3077ed3f","timestamp":"2026-05-12T05:45:38.905Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_00_veYpiV1ws4MjJ7GIfptv7643","name":"update_plan","arguments":{"plan":[{"step":"1. Transaction.java - model class","status":"completed"},{"step":"2. TransactionDTO.java - DTO","status":"in_progress"},{"step":"3. ExpenseReportQuery.java - DTO","status":"pending"},{"step":"4. DateParserUtil.java - utility class","status":"pending"},{"step":"5. DateUtils.java - utility class","status":"pending"},{"step":"6. UniqueSignUtil.java - utility class","status":"pending"},{"step":"7. TransactionServiceImpl.java - service","status":"pending"},{"step":"8. AlipayCSVConverter.java","status":"pending"},{"step":"9. WechatExcelConverter.java","status":"pending"},{"step":"10. CmbCreditCardPDFConverter.java","status":"pending"},{"step":"11. CmbCsvConverter.java","status":"pending"},{"step":"12. JdCsvConverter.java","status":"pending"},{"step":"13. MeituanCsvConverter.java","status":"pending"},{"step":"14. DouyinExcelConverter.java","status":"pending"},{"step":"15. PSBCBankExcelConverter.java","status":"pending"},{"step":"16. ICBCBankExcelConverter.java","status":"pending"}]}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":292,"output":305,"cacheRead":65792,"cacheWrite":0,"totalTokens":66389,"cost":{"input":0.000292,"output":0.00061,"cacheRead":0,"cacheWrite":0,"total":0.000902}},"stopReason":"toolUse","timestamp":1778564735911,"responseId":"8f72ed02-cb24-4ca5-ba18-e927dd3d7f1b","responseModel":"deepseek-v4-flash"}}
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{"type":"message","id":"97f3dd1e","parentId":"17ac07b7","timestamp":"2026-05-12T05:45:38.908Z","message":{"role":"toolResult","toolCallId":"call_00_veYpiV1ws4MjJ7GIfptv7643","toolName":"update_plan","content":[],"details":{"status":"updated","plan":[{"step":"1. Transaction.java - model class","status":"completed"},{"step":"2. TransactionDTO.java - DTO","status":"in_progress"},{"step":"3. ExpenseReportQuery.java - DTO","status":"pending"},{"step":"4. DateParserUtil.java - utility class","status":"pending"},{"step":"5. DateUtils.java - utility class","status":"pending"},{"step":"6. UniqueSignUtil.java - utility class","status":"pending"},{"step":"7. TransactionServiceImpl.java - service","status":"pending"},{"step":"8. AlipayCSVConverter.java","status":"pending"},{"step":"9. WechatExcelConverter.java","status":"pending"},{"step":"10. CmbCreditCardPDFConverter.java","status":"pending"},{"step":"11. CmbCsvConverter.java","status":"pending"},{"step":"12. JdCsvConverter.java","status":"pending"},{"step":"13. MeituanCsvConverter.java","status":"pending"},{"step":"14. DouyinExcelConverter.java","status":"pending"},{"step":"15. PSBCBankExcelConverter.java","status":"pending"},{"step":"16. ICBCBankExcelConverter.java","status":"pending"}]},"isError":false,"timestamp":1778564738908}}
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{"type":"message","id":"5495c63c","parentId":"97f3dd1e","timestamp":"2026-05-12T05:45:43.572Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_00_ma1bXgwOEoqV4cKwzlUq0419","name":"edit","arguments":{"path":"/home/yangxuan/Projects/IdeaProjects/ruoyi-vue-pro/yudao-module-family/src/main/java/cn/iocoder/yudao/module/family/controller/admin/transaction/dto/TransactionDTO.java","edits":[{"oldText":"import java.math.BigDecimal;\nimport java.util.Date;\nimport java.util.Map;","newText":"import java.math.BigDecimal;\nimport java.time.LocalDateTime;\nimport java.util.Map;"},{"oldText":" private Date tradeTime; // 交易时间","newText":" private LocalDateTime tradeTime; // 交易时间"},{"oldText":" private Date importTime; // 导入时间","newText":" private LocalDateTime importTime; // 导入时间"},{"oldText":" dto.setTradeTime((Date) map.get(\"trade_time\"));","newText":" dto.setTradeTime((LocalDateTime) map.get(\"trade_time\"));"}]}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":100,"output":264,"cacheRead":66304,"cacheWrite":0,"totalTokens":66668,"cost":{"input":0.00009999999999999999,"output":0.0005279999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0006279999999999999}},"stopReason":"toolUse","timestamp":1778564738909,"responseId":"0735a299-3c59-4922-9f80-564553dd8f43","responseModel":"deepseek-v4-flash"}}
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{"type":"message","id":"4cdcc413","parentId":"5495c63c","timestamp":"2026-05-12T05:45:43.577Z","message":{"role":"toolResult","toolCallId":"call_00_ma1bXgwOEoqV4cKwzlUq0419","toolName":"edit","content":[{"type":"text","text":"Successfully replaced 4 block(s) in /home/yangxuan/Projects/IdeaProjects/ruoyi-vue-pro/yudao-module-family/src/main/java/cn/iocoder/yudao/module/family/controller/admin/transaction/dto/TransactionDTO.java."}],"details":{"diff":" ...\n 3 \n 4 import lombok.Data;\n 5 \n 6 import java.math.BigDecimal;\n- 7 import java.util.Date;\n+ 7 import java.time.LocalDateTime;\n 8 import java.util.Map;\n 9 \n 10 /**\n 11 * 交易记录数据传输对象\n ...\n 14 public class TransactionDTO {\n 15 \n 16 // 基础信息\n 17 private String sourceType; // 数据来源：wechat/alipay/cmb\n-18 private Date tradeTime; // 交易时间\n+18 private LocalDateTime tradeTime; // 交易时间\n 19 private String tradeType; // 交易类型/分类\n 20 private String counterparty; // 交易对方/对手信息\n 21 private String accountNo; // 对方账号（支付宝特有）\n 22 private String productDesc; // 商品/交易摘要\n ...\n 29 private String remark; // 备注\n 30 \n 31 // 元数据\n 32 private String originalFilename; // 原始文件名\n-33 private Date importTime; // 导入时间\n+33 private LocalDateTime importTime; // 导入时间\n 34 private String importBatchNo; // 导入批次号\n 35 private Long userId; // 用户ID（如果需要）\n 36 \n 37 // 校验字段\n ...\n 45 TransactionDTO dto = new TransactionDTO();\n 46 \n 47 // 设置基础字段\n 48 dto.setSourceType((String) map.get(\"detected_type\"));\n-49 dto.setTradeTime((Date) map.get(\"trade_time\"));\n+49 dto.setTradeTime((LocalDateTime) map.get(\"trade_time\"));\n 50 dto.setTradeType((String) map.getOrDefault(\"trade_type\", map.get(\"trade_category\")));\n 51 dto.setCounterparty((String) map.get(\"counterparty\"));\n 52 dto.setAccountNo((String) map.get(\"account_no\"));\n 53 dto.setProductDesc((String) map.getOrDefault(\"product_desc\", map.get(\"trade_summary\")));\n ...","firstChangedLine":7},"isError":false,"timestamp":1778564743577}}
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{"type":"message","id":"214d9401","parentId":"4cdcc413","timestamp":"2026-05-12T05:45:46.530Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_00_wYA6NTpR3eNufm64N03H5985","name":"update_plan","arguments":{"plan":[{"step":"1. Transaction.java - model class","status":"completed"},{"step":"2. TransactionDTO.java - DTO","status":"completed"},{"step":"3. ExpenseReportQuery.java - DTO","status":"in_progress"},{"step":"4. DateParserUtil.java - utility class","status":"pending"},{"step":"5. DateUtils.java - utility class","status":"pending"},{"step":"6. UniqueSignUtil.java - utility class","status":"pending"},{"step":"7. TransactionServiceImpl.java - service","status":"pending"},{"step":"8. AlipayCSVConverter.java","status":"pending"},{"step":"9. WechatExcelConverter.java","status":"pending"},{"step":"10. CmbCreditCardPDFConverter.java","status":"pending"},{"step":"11. CmbCsvConverter.java","status":"pending"},{"step":"12. JdCsvConverter.java","status":"pending"},{"step":"13. MeituanCsvConverter.java","status":"pending"},{"step":"14. DouyinExcelConverter.java","status":"pending"},{"step":"15. PSBCBankExcelConverter.java","status":"pending"},{"step":"16. ICBCBankExcelConverter.java","status":"pending"}]}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":179,"output":305,"cacheRead":66560,"cacheWrite":0,"totalTokens":67044,"cost":{"input":0.000179,"output":0.00061,"cacheRead":0,"cacheWrite":0,"total":0.000789}},"stopReason":"toolUse","timestamp":1778564743578,"responseId":"dae4091b-ddfd-4f18-882d-31d41432a641","responseModel":"deepseek-v4-flash"}}
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{"type":"message","id":"139f2e80","parentId":"214d9401","timestamp":"2026-05-12T05:45:46.534Z","message":{"role":"toolResult","toolCallId":"call_00_wYA6NTpR3eNufm64N03H5985","toolName":"update_plan","content":[],"details":{"status":"updated","plan":[{"step":"1. Transaction.java - model class","status":"completed"},{"step":"2. TransactionDTO.java - DTO","status":"completed"},{"step":"3. ExpenseReportQuery.java - DTO","status":"in_progress"},{"step":"4. DateParserUtil.java - utility class","status":"pending"},{"step":"5. DateUtils.java - utility class","status":"pending"},{"step":"6. UniqueSignUtil.java - utility class","status":"pending"},{"step":"7. TransactionServiceImpl.java - service","status":"pending"},{"step":"8. AlipayCSVConverter.java","status":"pending"},{"step":"9. WechatExcelConverter.java","status":"pending"},{"step":"10. CmbCreditCardPDFConverter.java","status":"pending"},{"step":"11. CmbCsvConverter.java","status":"pending"},{"step":"12. JdCsvConverter.java","status":"pending"},{"step":"13. MeituanCsvConverter.java","status":"pending"},{"step":"14. DouyinExcelConverter.java","status":"pending"},{"step":"15. PSBCBankExcelConverter.java","status":"pending"},{"step":"16. ICBCBankExcelConverter.java","status":"pending"}]},"isError":false,"timestamp":1778564746534}}
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{"type":"message","id":"31cac7ed","parentId":"139f2e80","timestamp":"2026-05-12T05:45:48.386Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_00_6efhGD2SneNBQoDRcpzb0946","name":"edit","arguments":{"path":"/home/yangxuan/Projects/IdeaProjects/ruoyi-vue-pro/yudao-module-family/src/main/java/cn/iocoder/yudao/module/family/controller/admin/transaction/dto/ExpenseReportQuery.java","edits":[{"oldText":"import java.util.Date;","newText":"import java.time.LocalDateTime;"},{"oldText":" private Date startTime;","newText":" private LocalDateTime startTime;"},{"oldText":" private Date endTime;","newText":" private LocalDateTime endTime;"}]}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":115,"output":172,"cacheRead":66944,"cacheWrite":0,"totalTokens":67231,"cost":{"input":0.00011499999999999999,"output":0.00034399999999999996,"cacheRead":0,"cacheWrite":0,"total":0.00045899999999999994}},"stopReason":"toolUse","timestamp":1778564746535,"responseId":"98caae8c-84f6-4b3d-ab12-3edaac52c5db","responseModel":"deepseek-v4-flash"}}
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{"type":"message","id":"7952ec66","parentId":"31cac7ed","timestamp":"2026-05-12T05:45:48.390Z","message":{"role":"toolResult","toolCallId":"call_00_6efhGD2SneNBQoDRcpzb0946","toolName":"edit","content":[{"type":"text","text":"Successfully replaced 3 block(s) in /home/yangxuan/Projects/IdeaProjects/ruoyi-vue-pro/yudao-module-family/src/main/java/cn/iocoder/yudao/module/family/controller/admin/transaction/dto/ExpenseReportQuery.java."}],"details":{"diff":" ...\n 2 \n 3 \n 4 import lombok.Data;\n 5 \n- 6 import java.util.Date;\n+ 6 import java.time.LocalDateTime;\n 7 \n 8 @Data\n 9 public class ExpenseReportQuery {\n 10 /**\n ...\n 19 \n 20 /**\n 21 * 开始时间\n 22 */\n-23 private Date startTime;\n+23 private LocalDateTime startTime;\n 24 \n 25 /**\n 26 * 结束时间\n 27 */\n-28 private Date endTime;\n+28 private LocalDateTime endTime;\n 29 \n 30 /**\n 31 * 统计维度：month-按月, category-按类别, source-按数据来源, payment-按支付方式\n 32 */\n ...","firstChangedLine":6},"isError":false,"timestamp":1778564748390}}
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{"type":"message","id":"6156ce81","parentId":"7952ec66","timestamp":"2026-05-12T05:45:51.905Z","message":{"role":"assistant","content":[{"type":"text","text":"Now DateParserUtil.java - the tricky one. I need to replace all SimpleDateFormat/Date with DateTimeFormatter/LocalDateTime:"},{"type":"toolCall","id":"call_00_VUimHFVI2huzlSO0g8dt4375","name":"update_plan","arguments":{"plan":[{"step":"1. Transaction.java - model class","status":"completed"},{"step":"2. TransactionDTO.java - DTO","status":"completed"},{"step":"3. ExpenseReportQuery.java - DTO","status":"completed"},{"step":"4. DateParserUtil.java - utility class","status":"in_progress"},{"step":"5. DateUtils.java - utility class","status":"pending"},{"step":"6. UniqueSignUtil.java - utility class","status":"pending"},{"step":"7. TransactionServiceImpl.java - service","status":"pending"},{"step":"8. AlipayCSVConverter.java","status":"pending"},{"step":"9. WechatExcelConverter.java","status":"pending"},{"step":"10. CmbCreditCardPDFConverter.java","status":"pending"},{"step":"11. CmbCsvConverter.java","status":"pending"},{"step":"12. JdCsvConverter.java","status":"pending"},{"step":"13. MeituanCsvConverter.java","status":"pending"},{"step":"14. DouyinExcelConverter.java","status":"pending"},{"step":"15. PSBCBankExcelConverter.java","status":"pending"},{"step":"16. ICBCBankExcelConverter.java","status":"pending"}]}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":104,"output":330,"cacheRead":67200,"cacheWrite":0,"totalTokens":67634,"cost":{"input":0.000104,"output":0.00066,"cacheRead":0,"cacheWrite":0,"total":0.000764}},"stopReason":"toolUse","timestamp":1778564748391,"responseId":"0c0b7390-6535-46ac-897f-3ec03a7ce47d","responseModel":"deepseek-v4-flash"}}
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{"type":"message","id":"84ca1443","parentId":"6156ce81","timestamp":"2026-05-12T05:45:51.912Z","message":{"role":"toolResult","toolCallId":"call_00_VUimHFVI2huzlSO0g8dt4375","toolName":"update_plan","content":[],"details":{"status":"updated","plan":[{"step":"1. Transaction.java - model class","status":"completed"},{"step":"2. TransactionDTO.java - DTO","status":"completed"},{"step":"3. ExpenseReportQuery.java - DTO","status":"completed"},{"step":"4. DateParserUtil.java - utility class","status":"in_progress"},{"step":"5. DateUtils.java - utility class","status":"pending"},{"step":"6. UniqueSignUtil.java - utility class","status":"pending"},{"step":"7. TransactionServiceImpl.java - service","status":"pending"},{"step":"8. AlipayCSVConverter.java","status":"pending"},{"step":"9. WechatExcelConverter.java","status":"pending"},{"step":"10. CmbCreditCardPDFConverter.java","status":"pending"},{"step":"11. CmbCsvConverter.java","status":"pending"},{"step":"12. JdCsvConverter.java","status":"pending"},{"step":"13. MeituanCsvConverter.java","status":"pending"},{"step":"14. DouyinExcelConverter.java","status":"pending"},{"step":"15. PSBCBankExcelConverter.java","status":"pending"},{"step":"16. ICBCBankExcelConverter.java","status":"pending"}]},"isError":false,"timestamp":1778564751912}}
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{"type":"message","id":"787ebdb7","parentId":"84ca1443","timestamp":"2026-05-12T05:46:03.421Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_00_CXClNGnbGTlHDsgiRyDr6501","name":"write","arguments":{"path":"/home/yangxuan/Projects/IdeaProjects/ruoyi-vue-pro/yudao-module-family/src/main/java/cn/iocoder/yudao/module/family/utils/DateParserUtil.java","content":"package cn.iocoder.yudao.module.family.utils;\n\nimport java.time.LocalDateTime;\nimport java.time.format.DateTimeFormatter;\nimport java.time.format.DateTimeParseException;\nimport java.util.Arrays;\nimport java.util.LinkedHashMap;\nimport java.util.List;\nimport java.util.Map;\n\n/**\n * 智能日期解析工具类\n */\npublic class DateParserUtil {\n\n // 常见日期格式列表（按优先级排序）\n private static final List<String> COMMON_DATE_FORMATS = Arrays.asList(\n \"yyyy-MM-dd HH:mm:ss\",\n \"yyyy/MM/dd HH:mm:ss\",\n \"yyyy-MM-dd HH:mm\",\n \"yyyy/MM/dd HH:mm\",\n \"yyyy年MM月dd日 HH:mm:ss\",\n \"yyyy年MM月dd日 HH:mm\",\n \"yyyy.MM.dd HH:mm:ss\",\n \"yyyy.MM.dd HH:mm\",\n \"yyyyMMdd HH:mm:ss\",\n \"yyyyMMdd HH:mm\"\n );\n\n /**\n * 智能解析日期字符串\n */\n public static LocalDateTime parseDateSmart(String dateStr) throws DateTimeParseException {\n return parseDateSmart(dateStr, true);\n }\n\n /**\n * 智能解析日期字符串\n *\n * @param dateStr 日期字符串\n * @param lenient 是否使用宽松模式\n */\n public static LocalDateTime parseDateSmart(String dateStr, boolean lenient) throws DateTimeParseException {\n if (dateStr == null || dateStr.trim().isEmpty()) {\n return null;\n }\n\n String cleanedDate = cleanDateString(dateStr.trim());\n\n // 1. 首先尝试常见格式（严格模式）\n for (String format : COMMON_DATE_FORMATS) {\n try {\n DateTimeFormatter formatter = DateTimeFormatter.ofPattern(format);\n return LocalDateTime.parse(cleanedDate, formatter);\n } catch (DateTimeParseException e) {\n continue;\n }\n }\n\n // 2. 如果允许宽松模式，尝试标准化处理\n if (lenient) {\n try {\n return parseDateLenient(cleanedDate);\n } catch (DateTimeParseException e) {\n // 继续下一步\n }\n }\n\n // 3. 尝试所有可能的日期时间组合\n for (Map.Entry<String, String> entry : getAllPossibleFormats().entrySet()) {\n try {\n DateTimeFormatter formatter = DateTimeFormatter.ofPattern(entry.getKey());\n return LocalDateTime.parse(cleanedDate, formatter);\n } catch (DateTimeParseException e) {\n continue;\n }\n }\n\n throw new DateTimeParseException(\"无法解析日期: \" + dateStr, dateStr, 0);\n }\n\n /**\n * 宽松模式解析\n */\n private static LocalDateTime parseDateLenient(String dateStr) throws DateTimeParseException {\n // 分离日期和时间部分\n String[] parts = dateStr.split(\"\\\\s+\");\n if (parts.length < 2) {\n throw new DateTimeParseException(\"日期时间格式不完整: \" + dateStr, dateStr, 0);\n }\n\n String datePart = normalizeDatePart(parts[0]);\n String timePart = normalizeTimePart(parts[1]);\n\n // 补全时间部分\n if (timePart.split(\":\").length == 2) {\n timePart += \":00\";\n }\n\n String normalized = datePart + \" \" + timePart;\n DateTimeFormatter formatter = DateTimeFormatter.ofPattern(\"yyyy-MM-dd HH:mm:ss\");\n return LocalDateTime.parse(normalized, formatter);\n }\n\n /**\n * 清理日期字符串\n */\n public static String cleanDateString(String dateStr) {\n if (dateStr == null) return \"\";\n\n String cleaned = dateStr;\n\n // 替换常见字符\n cleaned = cleaned.replace(\"T\", \" \")\n .replace(\"Z\", \"\")\n .replace(\"上午\", \"\")\n .replace(\"下午\", \"\")\n .replace(\"AM\", \"\")\n .replace(\"PM\", \"\")\n .replace(\" \", \" \")\n .trim();\n\n // 处理中文日期\n cleaned = cleaned.replace(\"年\", \"-\")\n .replace(\"月\", \"-\")\n .replace(\"日\", \"\")\n .replace(\"时\", \":\")\n .replace(\"分\", \":\")\n .replace(\"秒\", \"\");\n\n // 标准化分隔符\n cleaned = cleaned.replace(\"/\", \"-\")\n .replace(\".\", \"-\")\n .replace(\"\\\\\", \"-\");\n\n return cleaned;\n }\n\n /**\n * 标准化日期部分\n */\n private static String normalizeDatePart(String datePart) {\n // 确保日期格式为 yyyy-MM-dd\n String[] dateComponents = datePart.split(\"[-/.]\");\n if (dateComponents.length != 3) {\n return datePart;\n }\n\n // 处理年份简写\n String year = dateComponents[0];\n if (year.length() == 2) {\n year = \"20\" + year;\n }\n\n // 补零月份和日期\n String month = String.format(\"%02d\", Integer.parseInt(dateComponents[1]));\n String day = String.format(\"%02d\", Integer.parseInt(dateComponents[2]));\n\n return year + \"-\" + month + \"-\" + day;\n }\n\n /**\n * 标准化时间部分\n */\n private static String normalizeTimePart(String timePart) {\n // 移除所有非数字和非冒号字符\n timePart = timePart.replaceAll(\"[^\\\\d:]\", \"\");\n\n // 补全时间格式\n String[] timeComponents = timePart.split(\":\");\n if (timeComponents.length == 1) {\n return timeComponents[0] + \":00:00\";\n } else if (timeComponents.length == 2) {\n return timeComponents[0] + \":\" + timeComponents[1] + \":00\";\n } else {\n return timePart;\n }\n }\n\n /**\n * 获取所有可能的日期格式\n */\n private static Map<String, String> getAllPossibleFormats() {\n Map<String, String> formats = new LinkedHashMap<>();\n\n String[] dateFormats = {\"yyyy-MM-dd\", \"yyyy/MM/dd\", \"yyyy.MM.dd\", \"yyyy年MM月dd日\"};\n String[] timeFormats = {\"HH:mm:ss\", \"HH:mm\", \"HH时mm分ss秒\"};\n\n for (String dateFormat : dateFormats) {\n for (String timeFormat : timeFormats) {\n formats.put(dateFormat + \" \" + timeFormat, \"日期时间格式\");\n }\n formats.put(dateFormat, \"日期格式\");\n }\n\n return formats;\n }\n}\n"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":65,"output":1520,"cacheRead":67584,"cacheWrite":0,"totalTokens":69169,"cost":{"input":0.000065,"output":0.0030399999999999997,"cacheRead":0,"cacheWrite":0,"total":0.0031049999999999997}},"stopReason":"toolUse","timestamp":1778564751913,"responseId":"e892b1e2-00ce-4283-8a33-559448350baf","responseModel":"deepseek-v4-flash"}}
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{"type":"message","id":"0768dc7f","parentId":"787ebdb7","timestamp":"2026-05-12T05:46:03.426Z","message":{"role":"toolResult","toolCallId":"call_00_CXClNGnbGTlHDsgiRyDr6501","toolName":"write","content":[{"type":"text","text":"Successfully wrote 5735 bytes to /home/yangxuan/Projects/IdeaProjects/ruoyi-vue-pro/yudao-module-family/src/main/java/cn/iocoder/yudao/module/family/utils/DateParserUtil.java"}],"isError":false,"timestamp":1778564763425}}
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{"type":"message","id":"9c901c27","parentId":"0768dc7f","timestamp":"2026-05-12T05:46:18.773Z","message":{"role":"assistant","content":[{"type":"text","text":"Now DateUtils.java - this one has more complex usage. Let me rewrite it fully:"},{"type":"toolCall","id":"call_00_23srzOT7ky9VcJJeh9Cb4812","name":"write","arguments":{"path":"/home/yangxuan/Projects/IdeaProjects/ruoyi-vue-pro/yudao-module-family/src/main/java/cn/iocoder/yudao/module/family/utils/DateUtils.java","content":"package cn.iocoder.yudao.module.family.utils;\n\nimport lombok.extern.slf4j.Slf4j;\n\nimport java.time.LocalDate;\nimport java.time.LocalDateTime;\nimport java.time.LocalTime;\nimport java.time.ZoneId;\nimport java.time.format.DateTimeFormatter;\nimport java.time.temporal.ChronoUnit;\n\n/**\n * 日期处理\n *\n * @author Mark sunlightcs@gmail.com\n */\n@Slf4j\npublic class DateUtils {\n /**\n * 时间格式(yyyy-MM-dd)\n */\n public final static String DATE_PATTERN = \"yyyy-MM-dd\";\n /**\n * 时间格式(yyyy-MM-dd HH:mm:ss)\n */\n public final static String DATE_TIME_PATTERN = \"yyyy-MM-dd HH:mm:ss\";\n\n public static final String STARTTIME = \" 00:00:00\";\n public static final String ENDTIME = \" 23:59:59\";\n public final static String FORMAT_STRING = \"yyyy-MM-dd HH:mm:ss\";\n public final static String[] REPLACE_STRING = new String[]{\"GMT+0800\", \"GMT+08:00\"};\n public final static String SPLIT_STRING = \"(中国标准时间)\";\n\n public static String YYYY = \"yyyy\";\n\n public static String YYYY_MM = \"yyyy-MM\";\n\n public static String YYYY_MM_DD = \"yyyy-MM-dd\";\n\n public static String YYYYMMDDHHMMSS = \"yyyyMMddHHmmss\";\n\n public static String YYYY_MM_DD_HH_MM_SS = \"yyyy-MM-dd HH:mm:ss\";\n\n private static String[] parsePatterns = {\"yyyy-MM-dd\", \"yyyy-MM-dd HH:mm:ss\", \"yyyy-MM-dd HH:mm\", \"yyyy-MM\", \"yyyy/MM/dd\", \"yyyy/MM/dd HH:mm:ss\", \"yyyy/MM/dd HH:mm\", \"yyyy/MM\", \"yyyy.MM.dd\", \"yyyy.MM.dd HH:mm:ss\", \"yyyy.MM.dd HH:mm\", \"yyyy.MM\"};\n\n private DateUtils() {\n }\n\n /**\n * 获取当前年月日时分秒\n *\n * @return (String)年月日时分秒\n */\n public static String getDate() {\n //获取当前时间\n DateTimeFormatter format = DateTimeFormatter.ofPattern(\"yyyy-MM-dd HH:mm:ss\");\n return LocalDateTime.now().format(format);\n }\n\n /**\n * 日期格式化 日期格式为: yyyy-MM-dd\n *\n * @param date 日期\n * @return 返回yyyy-MM-dd格式日期\n */\n public static String format(LocalDateTime date) {\n return format(date, DATE_PATTERN);\n }\n\n /**\n * 日期格式化 日期格式为: yyyy-MM-dd\n *\n * @param date 日期\n * @param pattern 格式，如: DateUtils.DATE_TIME_PATTERN\n * @return 返回yyyy-MM-dd格式日期\n */\n public static String format(LocalDateTime date, String pattern) {\n if (date != null) {\n DateTimeFormatter df = DateTimeFormatter.ofPattern(pattern);\n return df.format(date);\n }\n return null;\n }\n\n /**\n * 得到二个日期间的间隔天数\n *\n * @param date1\n * @param date2\n * @return\n */\n public static int getDayByTwoDay(String date1, String date2) {\n DateTimeFormatter myFormatter = DateTimeFormatter.ofPattern(\"yyyy-MM-dd\");\n Long day = 0L;\n try {\n LocalDate d1 = LocalDate.parse(date1, myFormatter);\n LocalDate d2 = LocalDate.parse(date2, myFormatter);\n day = ChronoUnit.DAYS.between(d2, d1);\n } catch (Exception e) {\n return 0;\n }\n return day.intValue();\n }\n\n /**\n * 获取当前的月\n *\n * @return\n */\n public static Integer getMonth() {\n return LocalDate.now().getMonthValue();\n }\n\n /**\n * 获取当前天\n *\n * @return\n */\n public static Integer getDay() {\n return LocalDate.now().getDayOfMonth();\n }\n\n /**\n * wx支付的过期时间\n *\n * @param hour\n * @return\n */\n @SuppressWarnings(\"unused\")\n public static String getTime(double hour) {\n long millis = (long) (hour * 60 * 60 * 1000L);\n LocalDateTime date = LocalDateTime.now().plusNanos(millis * 1_000_000L);\n DateTimeFormatter formate = DateTimeFormatter.ofPattern(\"yyyyMMddHHmmss\");\n return date.format(formate);\n }\n\n public static String getNowDateString(String format) {\n DateTimeFormatter formate = DateTimeFormatter.ofPattern(format);\n return LocalDateTime.now().format(formate);\n }\n\n}\n"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":114,"output":1189,"cacheRead":69120,"cacheWrite":0,"totalTokens":70423,"cost":{"input":0.00011399999999999999,"output":0.002378,"cacheRead":0,"cacheWrite":0,"total":0.002492}},"stopReason":"toolUse","timestamp":1778564763426,"responseId":"92535ff0-068d-4a2e-abd8-40a4f383614f","responseModel":"deepseek-v4-flash"}}
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{"type":"message","id":"1927b9c0","parentId":"9c901c27","timestamp":"2026-05-12T05:46:18.778Z","message":{"role":"toolResult","toolCallId":"call_00_23srzOT7ky9VcJJeh9Cb4812","toolName":"write","content":[{"type":"text","text":"Successfully wrote 3833 bytes to /home/yangxuan/Projects/IdeaProjects/ruoyi-vue-pro/yudao-module-family/src/main/java/cn/iocoder/yudao/module/family/utils/DateUtils.java"}],"isError":false,"timestamp":1778564778778}}
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||
{"type":"message","id":"bf9c010c","parentId":"1927b9c0","timestamp":"2026-05-12T05:46:21.775Z","message":{"role":"assistant","content":[{"type":"text","text":"Now UniqueSignUtil.java:"},{"type":"toolCall","id":"call_00_jLjXx3SsFuXYt5aJ3sp78465","name":"edit","arguments":{"path":"/home/yangxuan/Projects/IdeaProjects/ruoyi-vue-pro/yudao-module-family/src/main/java/cn/iocoder/yudao/module/family/utils/UniqueSignUtil.java","edits":[{"oldText":"import java.text.SimpleDateFormat;\nimport java.util.Date;","newText":"import java.time.LocalDateTime;\nimport java.time.format.DateTimeFormatter;"},{"oldText":" private static final SimpleDateFormat TIME_FORMAT = new SimpleDateFormat(\"yyyyMMddHHmmss\");","newText":" private static final DateTimeFormatter TIME_FORMAT = DateTimeFormatter.ofPattern(\"yyyyMMddHHmmss\");"},{"oldText":" public static String generateTradeUniqueSign(Date tradeTime, String tradeType, BigDecimal amount) {","newText":" public static String generateTradeUniqueSign(LocalDateTime tradeTime, String tradeType, BigDecimal amount) {"},{"oldText":" String timeStr = TIME_FORMAT.format(tradeTime);","newText":" String timeStr = tradeTime.format(TIME_FORMAT);"}]}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":87,"output":285,"cacheRead":70400,"cacheWrite":0,"totalTokens":70772,"cost":{"input":0.000087,"output":0.00057,"cacheRead":0,"cacheWrite":0,"total":0.000657}},"stopReason":"toolUse","timestamp":1778564778779,"responseId":"c6bca3d6-ae22-451e-9294-f9db010e8dca","responseModel":"deepseek-v4-flash"}}
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{"type":"message","id":"1942598e","parentId":"bf9c010c","timestamp":"2026-05-12T05:46:21.779Z","message":{"role":"toolResult","toolCallId":"call_00_jLjXx3SsFuXYt5aJ3sp78465","toolName":"edit","content":[{"type":"text","text":"Successfully replaced 4 block(s) in /home/yangxuan/Projects/IdeaProjects/ruoyi-vue-pro/yudao-module-family/src/main/java/cn/iocoder/yudao/module/family/utils/UniqueSignUtil.java."}],"details":{"diff":" ...\n 5 import java.math.BigDecimal;\n 6 import java.math.RoundingMode;\n 7 import java.security.MessageDigest;\n 8 import java.security.NoSuchAlgorithmException;\n- 9 import java.text.SimpleDateFormat;\n-10 import java.util.Date;\n+ 9 import java.time.LocalDateTime;\n+10 import java.time.format.DateTimeFormatter;\n 11 \n 12 /**\n 13 * 交易唯一标识生成工具\n 14 */\n 15 public class UniqueSignUtil {\n 16 \n-17 private static final SimpleDateFormat TIME_FORMAT = new SimpleDateFormat(\"yyyyMMddHHmmss\");\n+17 private static final DateTimeFormatter TIME_FORMAT = DateTimeFormatter.ofPattern(\"yyyyMMddHHmmss\");\n 18 \n 19 /**\n 20 * 生成交易唯一标识\n 21 * 规则：trade_time + \"|\" + trade_type + \"|\" + amount -> MD5\n ...\n 24 * @param tradeType 交易类型\n 25 * @param amount 金额\n 26 * @return 32位小写MD5\n 27 */\n-28 public static String generateTradeUniqueSign(Date tradeTime, String tradeType, BigDecimal amount) {\n+28 public static String generateTradeUniqueSign(LocalDateTime tradeTime, String tradeType, BigDecimal amount) {\n 29 if (tradeTime == null || amount == null) {\n 30 throw new IllegalArgumentException(\"交易时间和金额不能为空\");\n 31 }\n 32 \n 33 try {\n 34 // 1. 格式化字段\n-35 String timeStr = TIME_FORMAT.format(tradeTime);\n+35 String timeStr = tradeTime.format(TIME_FORMAT);\n 36 String typeStr = tradeType != null ? tradeType.trim() : \"NULL\";\n 37 String amountStr = amount.setScale(2, RoundingMode.HALF_UP).toPlainString();\n 38 \n 39 // 2. 构建签名源字符串\n ...","firstChangedLine":9},"isError":false,"timestamp":1778564781779}}
|
||
{"type":"message","id":"06f9a85f","parentId":"1942598e","timestamp":"2026-05-12T05:46:25.063Z","message":{"role":"assistant","content":[{"type":"text","text":"Now TransactionServiceImpl.java - replace `Date` with `LocalDateTime`:"},{"type":"toolCall","id":"call_00_fk0GfNbOa14qjDSCZYX40578","name":"update_plan","arguments":{"plan":[{"step":"1. Transaction.java - model class","status":"completed"},{"step":"2. TransactionDTO.java - DTO","status":"completed"},{"step":"3. ExpenseReportQuery.java - DTO","status":"completed"},{"step":"4. DateParserUtil.java - utility class","status":"completed"},{"step":"5. DateUtils.java - utility class","status":"completed"},{"step":"6. UniqueSignUtil.java - utility class","status":"completed"},{"step":"7. TransactionServiceImpl.java - service","status":"in_progress"},{"step":"8. AlipayCSVConverter.java","status":"pending"},{"step":"9. WechatExcelConverter.java","status":"pending"},{"step":"10. CmbCreditCardPDFConverter.java","status":"pending"},{"step":"11. CmbCsvConverter.java","status":"pending"},{"step":"12. JdCsvConverter.java","status":"pending"},{"step":"13. MeituanCsvConverter.java","status":"pending"},{"step":"14. DouyinExcelConverter.java","status":"pending"},{"step":"15. PSBCBankExcelConverter.java","status":"pending"},{"step":"16. ICBCBankExcelConverter.java","status":"pending"}]}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":182,"output":319,"cacheRead":70656,"cacheWrite":0,"totalTokens":71157,"cost":{"input":0.00018199999999999998,"output":0.000638,"cacheRead":0,"cacheWrite":0,"total":0.00082}},"stopReason":"toolUse","timestamp":1778564781780,"responseId":"943c1e9a-113d-4548-aaf7-08d1abb8ac0a","responseModel":"deepseek-v4-flash"}}
|
||
{"type":"message","id":"1ce8901e","parentId":"06f9a85f","timestamp":"2026-05-12T05:46:25.067Z","message":{"role":"toolResult","toolCallId":"call_00_fk0GfNbOa14qjDSCZYX40578","toolName":"update_plan","content":[],"details":{"status":"updated","plan":[{"step":"1. Transaction.java - model class","status":"completed"},{"step":"2. TransactionDTO.java - DTO","status":"completed"},{"step":"3. ExpenseReportQuery.java - DTO","status":"completed"},{"step":"4. DateParserUtil.java - utility class","status":"completed"},{"step":"5. DateUtils.java - utility class","status":"completed"},{"step":"6. UniqueSignUtil.java - utility class","status":"completed"},{"step":"7. TransactionServiceImpl.java - service","status":"in_progress"},{"step":"8. AlipayCSVConverter.java","status":"pending"},{"step":"9. WechatExcelConverter.java","status":"pending"},{"step":"10. CmbCreditCardPDFConverter.java","status":"pending"},{"step":"11. CmbCsvConverter.java","status":"pending"},{"step":"12. JdCsvConverter.java","status":"pending"},{"step":"13. MeituanCsvConverter.java","status":"pending"},{"step":"14. DouyinExcelConverter.java","status":"pending"},{"step":"15. PSBCBankExcelConverter.java","status":"pending"},{"step":"16. ICBCBankExcelConverter.java","status":"pending"}]},"isError":false,"timestamp":1778564785067}}
|
||
{"type":"message","id":"22d8f9b1","parentId":"1ce8901e","timestamp":"2026-05-12T05:46:27.911Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_00_5o1pg6IuJN2tj84olAPS3218","name":"edit","arguments":{"path":"/home/yangxuan/Projects/IdeaProjects/ruoyi-vue-pro/yudao-module-family/src/main/java/cn/iocoder/yudao/module/family/service/transaction/TransactionServiceImpl.java","edits":[{"oldText":"import java.util.ArrayList;\nimport java.util.Date;\nimport java.util.HashMap;","newText":"import java.time.LocalDateTime;\nimport java.util.ArrayList;\nimport java.util.HashMap;"},{"oldText":" Date now = new Date();","newText":" LocalDateTime now = LocalDateTime.now();"}]}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":132,"output":173,"cacheRead":71040,"cacheWrite":0,"totalTokens":71345,"cost":{"input":0.00013199999999999998,"output":0.000346,"cacheRead":0,"cacheWrite":0,"total":0.000478}},"stopReason":"toolUse","timestamp":1778564785067,"responseId":"4044de7c-20f8-4107-a744-a10b3a49abbe","responseModel":"deepseek-v4-flash"}}
|
||
{"type":"message","id":"57b4549c","parentId":"22d8f9b1","timestamp":"2026-05-12T05:46:28.372Z","message":{"role":"toolResult","toolCallId":"call_00_5o1pg6IuJN2tj84olAPS3218","toolName":"edit","content":[{"type":"text","text":"Successfully replaced 2 block(s) in /home/yangxuan/Projects/IdeaProjects/ruoyi-vue-pro/yudao-module-family/src/main/java/cn/iocoder/yudao/module/family/service/transaction/TransactionServiceImpl.java."}],"details":{"diff":" ...\n 14 import lombok.extern.slf4j.Slf4j;\n 15 import org.springframework.stereotype.Service;\n 16 import org.springframework.validation.annotation.Validated;\n 17 \n+ 18 import java.time.LocalDateTime;\n 18 import java.util.ArrayList;\n- 19 import java.util.Date;\n 20 import java.util.HashMap;\n 21 import java.util.HashSet;\n 22 import java.util.List;\n 23 import java.util.Map;\n ...\n 298 */\n 299 private List<TransactionDO> convertToEntitiesWithSign(List<TransactionDTO> dtos) {\n 300 \n 301 List<TransactionDO> entities = new ArrayList<>();\n-302 Date now = new Date();\n+302 LocalDateTime now = LocalDateTime.now();\n 303 \n 304 for (TransactionDTO dto : dtos) {\n 305 try {\n 306 TransactionDO entity = new TransactionDO();\n ...","firstChangedLine":18},"isError":false,"timestamp":1778564788372}}
|
||
{"type":"message","id":"6934bc6e","parentId":"57b4549c","timestamp":"2026-05-12T05:46:31.512Z","message":{"role":"assistant","content":[{"type":"text","text":"Now the converters. Let me do them one by one. Starting with AlipayCSVConverter.java - this is a big one with the `parseDate` method:"},{"type":"toolCall","id":"call_00_7MevxI8RAJdGcp0yjCXd6192","name":"update_plan","arguments":{"plan":[{"step":"1. Transaction.java - model class","status":"completed"},{"step":"2. TransactionDTO.java - DTO","status":"completed"},{"step":"3. ExpenseReportQuery.java - DTO","status":"completed"},{"step":"4. DateParserUtil.java - utility class","status":"completed"},{"step":"5. DateUtils.java - utility class","status":"completed"},{"step":"6. UniqueSignUtil.java - utility class","status":"completed"},{"step":"7. TransactionServiceImpl.java - service","status":"completed"},{"step":"8. AlipayCSVConverter.java","status":"in_progress"},{"step":"9. WechatExcelConverter.java","status":"pending"},{"step":"10. CmbCreditCardPDFConverter.java","status":"pending"},{"step":"11. CmbCsvConverter.java","status":"pending"},{"step":"12. JdCsvConverter.java","status":"pending"},{"step":"13. MeituanCsvConverter.java","status":"pending"},{"step":"14. DouyinExcelConverter.java","status":"pending"},{"step":"15. PSBCBankExcelConverter.java","status":"pending"},{"step":"16. ICBCBankExcelConverter.java","status":"pending"}]}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":116,"output":339,"cacheRead":71296,"cacheWrite":0,"totalTokens":71751,"cost":{"input":0.000116,"output":0.000678,"cacheRead":0,"cacheWrite":0,"total":0.000794}},"stopReason":"toolUse","timestamp":1778564788373,"responseId":"dc4f1e9b-650d-4ed4-93b5-057c5a8cae7f","responseModel":"deepseek-v4-flash"}}
|
||
{"type":"message","id":"caad6c63","parentId":"6934bc6e","timestamp":"2026-05-12T05:46:31.821Z","message":{"role":"toolResult","toolCallId":"call_00_7MevxI8RAJdGcp0yjCXd6192","toolName":"update_plan","content":[],"details":{"status":"updated","plan":[{"step":"1. Transaction.java - model class","status":"completed"},{"step":"2. TransactionDTO.java - DTO","status":"completed"},{"step":"3. ExpenseReportQuery.java - DTO","status":"completed"},{"step":"4. DateParserUtil.java - utility class","status":"completed"},{"step":"5. DateUtils.java - utility class","status":"completed"},{"step":"6. UniqueSignUtil.java - utility class","status":"completed"},{"step":"7. TransactionServiceImpl.java - service","status":"completed"},{"step":"8. AlipayCSVConverter.java","status":"in_progress"},{"step":"9. WechatExcelConverter.java","status":"pending"},{"step":"10. CmbCreditCardPDFConverter.java","status":"pending"},{"step":"11. CmbCsvConverter.java","status":"pending"},{"step":"12. JdCsvConverter.java","status":"pending"},{"step":"13. MeituanCsvConverter.java","status":"pending"},{"step":"14. DouyinExcelConverter.java","status":"pending"},{"step":"15. PSBCBankExcelConverter.java","status":"pending"},{"step":"16. ICBCBankExcelConverter.java","status":"pending"}]},"isError":false,"timestamp":1778564791821}}
|
||
{"type":"message","id":"b331fac3","parentId":"caad6c63","timestamp":"2026-05-12T05:46:42.218Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_00_gfI2HGTn3SaxxVrnok4X7426","name":"edit","arguments":{"path":"/home/yangxuan/Projects/IdeaProjects/ruoyi-vue-pro/yudao-module-family/src/main/java/cn/iocoder/yudao/module/family/converter/AlipayCSVConverter.java","edits":[{"oldText":"import java.text.SimpleDateFormat;\nimport java.util.ArrayList;","newText":"import java.time.LocalDateTime;\nimport java.time.format.DateTimeFormatter;\nimport java.util.ArrayList;"},{"oldText":"import java.util.Date;","newText":""},{"oldText":" Date tradeTime = parseDate(timeStr);","newText":" LocalDateTime tradeTime = parseDate(timeStr);"},{"oldText":" private Date parseDate(String dateStr) throws Exception {","newText":" private LocalDateTime parseDate(String dateStr) throws Exception {"},{"oldText":" for (String format : commonFormats) {\n try {\n SimpleDateFormat sdf = new SimpleDateFormat(format);\n sdf.setLenient(false);\n return sdf.parse(trimmedDate);\n } catch (Exception e) {\n continue;\n }\n }\n\n // 2. 尝试所有可能的格式\n for (Map.Entry<String, String> entry : AlipayConstants.DATE_FORMATS.entrySet()) {\n try {\n SimpleDateFormat sdf = new SimpleDateFormat(entry.getKey());\n sdf.setLenient(false);\n return sdf.parse(trimmedDate);\n } catch (Exception e) {\n continue;\n }\n }\n\n // 3. 尝试处理特殊字符或异常情况\n trimmedDate = cleanDateString(trimmedDate);\n\n // 再次尝试常见格式\n for (String format : commonFormats) {\n try {\n SimpleDateFormat sdf = new SimpleDateFormat(format);\n sdf.setLenient(false);\n return sdf.parse(trimmedDate);\n } catch (Exception e) {\n continue;\n }\n }\n\n // 4. 最后尝试宽松模式\n try {\n String[] parts = trimmedDate.split(\"\\\\s+\");\n if (parts.length >= 2) {\n String datePart = parts[0];\n String timePart = parts[1];\n\n // 标准化日期分隔符\n datePart = datePart.replace(\"/\", \"-\").replace(\".\", \"-\").replace(\"年\", \"-\").replace(\"月\", \"-\").replace(\"日\", \"\");\n timePart = timePart.length() == 5 ? timePart + \":00\" : timePart;\n\n String normalized = datePart + \" \" + timePart;\n SimpleDateFormat sdf = new SimpleDateFormat(\"yyyy-MM-dd HH:mm:ss\");\n sdf.setLenient(true);\n return sdf.parse(normalized);\n }\n } catch (Exception e) {\n // 忽略，继续下一步\n }\n\n throw new Exception(\"无法解析日期: \" + dateStr + \"，尝试了所有格式\");","newText":" // 1. 尝试常见格式\n for (String format : commonFormats) {\n try {\n DateTimeFormatter formatter = DateTimeFormatter.ofPattern(format);\n return LocalDateTime.parse(trimmedDate, formatter);\n } catch (Exception e) {\n continue;\n }\n }\n\n // 2. 尝试所有可能的格式\n for (Map.Entry<String, String> entry : AlipayConstants.DATE_FORMATS.entrySet()) {\n try {\n DateTimeFormatter formatter = DateTimeFormatter.ofPattern(entry.getKey());\n return LocalDateTime.parse(trimmedDate, formatter);\n } catch (Exception e) {\n continue;\n }\n }\n\n // 3. 尝试处理特殊字符或异常情况\n trimmedDate = cleanDateString(trimmedDate);\n\n // 再次尝试常见格式\n for (String format : commonFormats) {\n try {\n DateTimeFormatter formatter = DateTimeFormatter.ofPattern(format);\n return LocalDateTime.parse(trimmedDate, formatter);\n } catch (Exception e) {\n continue;\n }\n }\n\n // 4. 最后尝试宽松模式\n try {\n String[] parts = trimmedDate.split(\"\\\\s+\");\n if (parts.length >= 2) {\n String datePart = parts[0];\n String timePart = parts[1];\n\n // 标准化日期分隔符\n datePart = datePart.replace(\"/\", \"-\").replace(\".\", \"-\").replace(\"年\", \"-\").replace(\"月\", \"-\").replace(\"日\", \"\");\n timePart = timePart.length() == 5 ? timePart + \":00\" : timePart;\n\n String normalized = datePart + \" \" + timePart;\n DateTimeFormatter formatter = DateTimeFormatter.ofPattern(\"yyyy-MM-dd HH:mm:ss\");\n return LocalDateTime.parse(normalized, formatter);\n }\n } catch (Exception e) {\n // 忽略，继续下一步\n }\n\n throw new Exception(\"无法解析日期: \" + dateStr + \"，尝试了所有格式\");"},{"oldText":" standardData.put(\"convert_time\", new Date());","newText":" standardData.put(\"convert_time\", LocalDateTime.now());"}]}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":86,"output":1302,"cacheRead":71680,"cacheWrite":0,"totalTokens":73068,"cost":{"input":0.00008599999999999999,"output":0.002604,"cacheRead":0,"cacheWrite":0,"total":0.00269}},"stopReason":"toolUse","timestamp":1778564791822,"responseId":"86dc7e03-be94-4b2f-8063-d31c7b06989a","responseModel":"deepseek-v4-flash"}}
|
||
{"type":"message","id":"41427232","parentId":"b331fac3","timestamp":"2026-05-12T05:46:42.661Z","message":{"role":"toolResult","toolCallId":"call_00_gfI2HGTn3SaxxVrnok4X7426","toolName":"edit","content":[{"type":"text","text":"Successfully replaced 6 block(s) in /home/yangxuan/Projects/IdeaProjects/ruoyi-vue-pro/yudao-module-family/src/main/java/cn/iocoder/yudao/module/family/converter/AlipayCSVConverter.java."}],"details":{"diff":" ...\n 12 import org.springframework.web.multipart.MultipartFile;\n 13 \n 14 import java.io.IOException;\n 15 import java.math.BigDecimal;\n- 16 import java.text.SimpleDateFormat;\n+ 16 import java.time.LocalDateTime;\n+ 17 import java.time.format.DateTimeFormatter;\n 17 import java.util.ArrayList;\n 18 import java.util.Collections;\n- 19 import java.util.Date;\n+ 20 \n 20 import java.util.HashMap;\n 21 import java.util.List;\n 22 import java.util.Map;\n 23 \n ...\n 238 \n 239 // 1. 交易时间\n 240 String timeStr = getValueByHeader(record, columnMap, \"交易时间\");\n 241 try {\n-242 Date tradeTime = parseDate(timeStr);\n+243 LocalDateTime tradeTime = parseDate(timeStr);\n 243 transaction.setTradeTime(tradeTime);\n 244 } catch (Exception e) {\n 245 log.warn(\"第{}行日期解析失败: {} - {}\", rowNumber, timeStr, e.getMessage());\n 246 transaction.setTradeTime(null);\n ...\n 295 \n 296 /**\n 297 * 智能日期解析方法\n 298 */\n-299 private Date parseDate(String dateStr) throws Exception {\n+300 private LocalDateTime parseDate(String dateStr) throws Exception {\n 300 if (dateStr == null || dateStr.trim().isEmpty()) {\n 301 return null;\n 302 }\n 303 \n ...\n 305 \n 306 // 1. 尝试常见格式\n 307 String[] commonFormats = {\"yyyy/MM/dd HH:mm\", \"yyyy-MM-dd HH:mm\", \"yyyy-MM-dd HH:mm:ss\", \"yyyy/MM/dd HH:mm:ss\", \"yyyy年MM月dd日 HH:mm\", \"yyyy年MM月dd日 HH:mm:ss\"};\n 308 \n+310 // 1. 尝试常见格式\n 309 for (String format : commonFormats) {\n 310 try {\n-311 SimpleDateFormat sdf = new SimpleDateFormat(format);\n-312 sdf.setLenient(false);\n-313 return sdf.parse(trimmedDate);\n+313 DateTimeFormatter formatter = DateTimeFormatter.ofPattern(format);\n+314 return LocalDateTime.parse(trimmedDate, formatter);\n 314 } catch (Exception e) {\n 315 continue;\n 316 }\n 317 }\n 318 \n 319 // 2. 尝试所有可能的格式\n 320 for (Map.Entry<String, String> entry : AlipayConstants.DATE_FORMATS.entrySet()) {\n 321 try {\n-322 SimpleDateFormat sdf = new SimpleDateFormat(entry.getKey());\n-323 sdf.setLenient(false);\n-324 return sdf.parse(trimmedDate);\n+323 DateTimeFormatter formatter = DateTimeFormatter.ofPattern(entry.getKey());\n+324 return LocalDateTime.parse(trimmedDate, formatter);\n 325 } catch (Exception e) {\n 326 continue;\n 327 }\n 328 }\n ...\n 332 \n 333 // 再次尝试常见格式\n 334 for (String format : commonFormats) {\n 335 try {\n-336 SimpleDateFormat sdf = new SimpleDateFormat(format);\n-337 sdf.setLenient(false);\n-338 return sdf.parse(trimmedDate);\n+336 DateTimeFormatter formatter = DateTimeFormatter.ofPattern(format);\n+337 return LocalDateTime.parse(trimmedDate, formatter);\n 339 } catch (Exception e) {\n 340 continue;\n 341 }\n 342 }\n ...\n 352 datePart = datePart.replace(\"/\", \"-\").replace(\".\", \"-\").replace(\"年\", \"-\").replace(\"月\", \"-\").replace(\"日\", \"\");\n 353 timePart = timePart.length() == 5 ? timePart + \":00\" : timePart;\n 354 \n 355 String normalized = datePart + \" \" + timePart;\n-356 SimpleDateFormat sdf = new SimpleDateFormat(\"yyyy-MM-dd HH:mm:ss\");\n-357 sdf.setLenient(true);\n-358 return sdf.parse(normalized);\n+355 DateTimeFormatter formatter = DateTimeFormatter.ofPattern(\"yyyy-MM-dd HH:mm:ss\");\n+356 return LocalDateTime.parse(normalized, formatter);\n 359 }\n 360 } catch (Exception e) {\n 361 // 忽略，继续下一步\n 362 }\n ...\n 406 public Map<String, Object> toStandardFormat(ConvertResult<Transaction> convertResult) {\n 407 Map<String, Object> standardData = new HashMap<>();\n 408 \n 409 standardData.put(\"source_type\", \"alipay\");\n-410 standardData.put(\"convert_time\", new Date());\n+408 standardData.put(\"convert_time\", LocalDateTime.now());\n 411 standardData.put(\"convert_result\", convertResult.getMessage());\n 412 \n 413 List<Map<String, Object>> transactions = new ArrayList<>();\n 414 for (Transaction tx : convertResult.getTransactions()) {\n ...","firstChangedLine":16},"isError":false,"timestamp":1778564802661}}
|
||
{"type":"message","id":"acdc8269","parentId":"41427232","timestamp":"2026-05-12T05:46:45.617Z","message":{"role":"assistant","content":[{"type":"text","text":"Now WechatExcelConverter.java:"},{"type":"toolCall","id":"call_00_GWHpxRP8G6LfgcP0Uxv69897","name":"update_plan","arguments":{"plan":[{"step":"1. Transaction.java - model class","status":"completed"},{"step":"2. TransactionDTO.java - DTO","status":"completed"},{"step":"3. ExpenseReportQuery.java - DTO","status":"completed"},{"step":"4. DateParserUtil.java - utility class","status":"completed"},{"step":"5. DateUtils.java - utility class","status":"completed"},{"step":"6. UniqueSignUtil.java - utility class","status":"completed"},{"step":"7. TransactionServiceImpl.java - service","status":"completed"},{"step":"8. AlipayCSVConverter.java","status":"completed"},{"step":"9. WechatExcelConverter.java","status":"in_progress"},{"step":"10. CmbCreditCardPDFConverter.java","status":"pending"},{"step":"11. CmbCsvConverter.java","status":"pending"},{"step":"12. JdCsvConverter.java","status":"pending"},{"step":"13. MeituanCsvConverter.java","status":"pending"},{"step":"14. DouyinExcelConverter.java","status":"pending"},{"step":"15. PSBCBankExcelConverter.java","status":"pending"},{"step":"16. ICBCBankExcelConverter.java","status":"pending"}]}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":177,"output":311,"cacheRead":72960,"cacheWrite":0,"totalTokens":73448,"cost":{"input":0.000177,"output":0.0006219999999999999,"cacheRead":0,"cacheWrite":0,"total":0.0007989999999999999}},"stopReason":"toolUse","timestamp":1778564802662,"responseId":"6dbf38a5-de69-4949-9939-0750f64b5792","responseModel":"deepseek-v4-flash"}}
|
||
{"type":"message","id":"30a2f13d","parentId":"acdc8269","timestamp":"2026-05-12T05:46:45.915Z","message":{"role":"toolResult","toolCallId":"call_00_GWHpxRP8G6LfgcP0Uxv69897","toolName":"update_plan","content":[],"details":{"status":"updated","plan":[{"step":"1. Transaction.java - model class","status":"completed"},{"step":"2. TransactionDTO.java - DTO","status":"completed"},{"step":"3. ExpenseReportQuery.java - DTO","status":"completed"},{"step":"4. DateParserUtil.java - utility class","status":"completed"},{"step":"5. DateUtils.java - utility class","status":"completed"},{"step":"6. UniqueSignUtil.java - utility class","status":"completed"},{"step":"7. TransactionServiceImpl.java - service","status":"completed"},{"step":"8. AlipayCSVConverter.java","status":"completed"},{"step":"9. WechatExcelConverter.java","status":"in_progress"},{"step":"10. CmbCreditCardPDFConverter.java","status":"pending"},{"step":"11. CmbCsvConverter.java","status":"pending"},{"step":"12. JdCsvConverter.java","status":"pending"},{"step":"13. MeituanCsvConverter.java","status":"pending"},{"step":"14. DouyinExcelConverter.java","status":"pending"},{"step":"15. PSBCBankExcelConverter.java","status":"pending"},{"step":"16. ICBCBankExcelConverter.java","status":"pending"}]},"isError":false,"timestamp":1778564805914}}
|
||
{"type":"message","id":"107fd445","parentId":"30a2f13d","timestamp":"2026-05-12T05:46:57.242Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_00_CbvyTGXrJtmUIiesA7vB7513","name":"edit","arguments":{"path":"/home/yangxuan/Projects/IdeaProjects/ruoyi-vue-pro/yudao-module-family/src/main/java/cn/iocoder/yudao/module/family/converter/WechatExcelConverter.java","edits":[{"oldText":"import java.text.SimpleDateFormat;\nimport java.util.ArrayList;","newText":"import java.time.LocalDate;\nimport java.time.LocalDateTime;\nimport java.time.LocalTime;\nimport java.time.format.DateTimeFormatter;\nimport java.util.ArrayList;"},{"oldText":"import java.util.Date;","newText":""},{"oldText":" Date tradeTime = parseDate(timeStr);\n transaction.setTradeTime(tradeTime);","newText":" LocalDateTime tradeTime = parseDate(timeStr);\n transaction.setTradeTime(tradeTime);"},{"oldText":" private Date parseDate(String dateStr) {","newText":" private LocalDateTime parseDate(String dateStr) {"},{"oldText":" for (String format : wechatFormats) {\n try {\n SimpleDateFormat sdf = new SimpleDateFormat(format);\n sdf.setLenient(false);\n return sdf.parse(dateStr);\n } catch (Exception e) {\n continue;\n }\n }\n\n // 2. 尝试所有可能的格式\n for (String format : WechatConstants.DATE_FORMATS) {\n try {\n SimpleDateFormat sdf = new SimpleDateFormat(format);\n sdf.setLenient(false);\n return sdf.parse(dateStr);\n } catch (Exception e) {\n continue;\n }\n }\n\n // 3. 尝试解析为Excel日期序号\n try {\n double excelDateNum = Double.parseDouble(dateStr);\n // Excel日期从1900-01-01开始，要减去2天因为Excel的bug\n long javaDate = (long) ((excelDateNum - 25569) * 24 * 60 * 60 * 1000);\n return new Date(javaDate);\n } catch (Exception e) {\n // 不是数字格式，继续尝试\n }\n\n // 4. 最后尝试宽松解析\n try {\n // 尝试提取日期部分\n String normalized = dateStr.replace(\"T\", \" \").replace(\"Z\", \"\").replace(\"年\", \"-\").replace(\"月\", \"-\").replace(\"日\", \"\").replace(\"/\", \"-\");\n\n SimpleDateFormat sdf = new SimpleDateFormat(\"yyyy-MM-dd HH:mm:ss\");\n sdf.setLenient(true);\n return sdf.parse(normalized);\n } catch (Exception e) {\n throw new RuntimeException(\"无法解析日期: \" + dateStr);\n }","newText":" // 1. 首先尝试微信常见格式\n for (String format : wechatFormats) {\n try {\n DateTimeFormatter formatter = DateTimeFormatter.ofPattern(format);\n return LocalDateTime.parse(dateStr, formatter);\n } catch (Exception e) {\n continue;\n }\n }\n\n // 2. 尝试所有可能的格式\n for (String format : WechatConstants.DATE_FORMATS) {\n try {\n DateTimeFormatter formatter = DateTimeFormatter.ofPattern(format);\n return LocalDateTime.parse(dateStr, formatter);\n } catch (Exception e) {\n continue;\n }\n }\n\n // 3. 尝试解析为Excel日期序号\n try {\n double excelDateNum = Double.parseDouble(dateStr);\n // Excel日期从1899-12-30开始\n LocalDateTime excelEpoch = LocalDateTime.of(LocalDate.of(1899, 12, 30), LocalTime.MIDNIGHT);\n return excelEpoch.plusDays((long) excelDateNum);\n } catch (Exception e) {\n // 不是数字格式，继续尝试\n }\n\n // 4. 最后尝试宽松解析\n try {\n // 尝试提取日期部分\n String normalized = dateStr.replace(\"T\", \" \").replace(\"Z\", \"\").replace(\"年\", \"-\").replace(\"月\", \"-\").replace(\"日\", \"\").replace(\"/\", \"-\");\n\n DateTimeFormatter formatter = DateTimeFormatter.ofPattern(\"yyyy-MM-dd HH:mm:ss\");\n return LocalDateTime.parse(normalized, formatter);\n } catch (Exception e) {\n throw new RuntimeException(\"无法解析日期: \" + dateStr);\n }"},{"oldText":" standardData.put(\"convert_time\", new Date());","newText":" standardData.put(\"convert_time\", LocalDateTime.now());"}]}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":119,"output":1136,"cacheRead":73344,"cacheWrite":0,"totalTokens":74599,"cost":{"input":0.00011899999999999999,"output":0.0022719999999999997,"cacheRead":0,"cacheWrite":0,"total":0.002391}},"stopReason":"toolUse","timestamp":1778564805916,"responseId":"71abbcce-fb67-4c71-b567-66595805885c","responseModel":"deepseek-v4-flash"}}
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||
{"type":"message","id":"1d9d99f8","parentId":"107fd445","timestamp":"2026-05-12T05:46:57.695Z","message":{"role":"toolResult","toolCallId":"call_00_CbvyTGXrJtmUIiesA7vB7513","toolName":"edit","content":[{"type":"text","text":"Successfully replaced 6 block(s) in /home/yangxuan/Projects/IdeaProjects/ruoyi-vue-pro/yudao-module-family/src/main/java/cn/iocoder/yudao/module/family/converter/WechatExcelConverter.java."}],"details":{"diff":" ...\n 16 import org.springframework.web.multipart.MultipartFile;\n 17 \n 18 import java.io.InputStream;\n 19 import java.math.BigDecimal;\n- 20 import java.text.SimpleDateFormat;\n+ 20 import java.time.LocalDate;\n+ 21 import java.time.LocalDateTime;\n+ 22 import java.time.LocalTime;\n+ 23 import java.time.format.DateTimeFormatter;\n 21 import java.util.ArrayList;\n 22 import java.util.Collections;\n- 23 import java.util.Date;\n+ 26 \n 24 import java.util.HashMap;\n 25 import java.util.List;\n 26 import java.util.Map;\n 27 \n ...\n 143 Cell timeCell = row.getCell(WechatConstants.ColumnIndex.TRADE_TIME);\n 144 String timeStr = ExcelCellUtil.getCellValue(timeCell);\n 145 \n 146 try {\n-147 Date tradeTime = parseDate(timeStr);\n+150 LocalDateTime tradeTime = parseDate(timeStr);\n 148 transaction.setTradeTime(tradeTime);\n 149 } catch (Exception e) {\n 150 throw new RuntimeException(\"交易时间格式错误: \" + timeStr);\n 151 }\n ...\n 196 \n 197 /**\n 198 * 智能解析日期（支持多种格式）\n 199 */\n-200 private Date parseDate(String dateStr) {\n+203 private LocalDateTime parseDate(String dateStr) {\n 201 if (dateStr == null || dateStr.trim().isEmpty()) {\n 202 return null;\n 203 }\n 204 \n ...\n 207 \n 208 // 1. 首先尝试微信常见格式\n 209 String[] wechatFormats = {\"yyyy-MM-dd HH:mm:ss\", \"yyyy/MM/dd HH:mm:ss\", \"yyyy-MM-dd HH:mm\", \"yyyy/MM/dd HH:mm\", \"yyyy年MM月dd日 HH:mm:ss\", \"yyyy年MM月dd日 HH:mm\"};\n 210 \n+214 // 1. 首先尝试微信常见格式\n 211 for (String format : wechatFormats) {\n 212 try {\n-213 SimpleDateFormat sdf = new SimpleDateFormat(format);\n-214 sdf.setLenient(false);\n-215 return sdf.parse(dateStr);\n+217 DateTimeFormatter formatter = DateTimeFormatter.ofPattern(format);\n+218 return LocalDateTime.parse(dateStr, formatter);\n 216 } catch (Exception e) {\n 217 continue;\n 218 }\n 219 }\n 220 \n 221 // 2. 尝试所有可能的格式\n 222 for (String format : WechatConstants.DATE_FORMATS) {\n 223 try {\n-224 SimpleDateFormat sdf = new SimpleDateFormat(format);\n-225 sdf.setLenient(false);\n-226 return sdf.parse(dateStr);\n+227 DateTimeFormatter formatter = DateTimeFormatter.ofPattern(format);\n+228 return LocalDateTime.parse(dateStr, formatter);\n 227 } catch (Exception e) {\n 228 continue;\n 229 }\n 230 }\n 231 \n 232 // 3. 尝试解析为Excel日期序号\n 233 try {\n 234 double excelDateNum = Double.parseDouble(dateStr);\n-235 // Excel日期从1900-01-01开始，要减去2天因为Excel的bug\n-236 long javaDate = (long) ((excelDateNum - 25569) * 24 * 60 * 60 * 1000);\n-237 return new Date(javaDate);\n+237 // Excel日期从1899-12-30开始\n+238 LocalDateTime excelEpoch = LocalDateTime.of(LocalDate.of(1899, 12, 30), LocalTime.MIDNIGHT);\n+239 return excelEpoch.plusDays((long) excelDateNum);\n 238 } catch (Exception e) {\n 239 // 不是数字格式，继续尝试\n 240 }\n 241 \n ...\n 243 try {\n 244 // 尝试提取日期部分\n 245 String normalized = dateStr.replace(\"T\", \" \").replace(\"Z\", \"\").replace(\"年\", \"-\").replace(\"月\", \"-\").replace(\"日\", \"\").replace(\"/\", \"-\");\n 246 \n-247 SimpleDateFormat sdf = new SimpleDateFormat(\"yyyy-MM-dd HH:mm:ss\");\n-248 sdf.setLenient(true);\n-249 return sdf.parse(normalized);\n+249 DateTimeFormatter formatter = DateTimeFormatter.ofPattern(\"yyyy-MM-dd HH:mm:ss\");\n+250 return LocalDateTime.parse(normalized, formatter);\n 250 } catch (Exception e) {\n 251 throw new RuntimeException(\"无法解析日期: \" + dateStr);\n 252 }\n 253 }\n ...\n 297 public Map<String, Object> toStandardFormat(ConvertResult<Transaction> convertResult) {\n 298 Map<String, Object> standardData = new HashMap<>();\n 299 \n 300 standardData.put(\"source_type\", \"wechat\");\n-301 standardData.put(\"convert_time\", new Date());\n+302 standardData.put(\"convert_time\", LocalDateTime.now());\n 302 standardData.put(\"convert_result\", convertResult.getMessage());\n 303 \n 304 // 转换交易记录\n 305 List<Map<String, Object>> transactions = new ArrayList<>();\n ...","firstChangedLine":20},"isError":false,"timestamp":1778564817695}}
|
||
{"type":"message","id":"596e2c45","parentId":"1d9d99f8","timestamp":"2026-05-12T05:47:00.816Z","message":{"role":"assistant","content":[{"type":"text","text":"Now CmbCreditCardPDFConverter.java:"},{"type":"toolCall","id":"call_00_dP7qJQw5kzcv8nWDcKhy5380","name":"update_plan","arguments":{"plan":[{"step":"1. Transaction.java - model class","status":"completed"},{"step":"2. TransactionDTO.java - DTO","status":"completed"},{"step":"3. ExpenseReportQuery.java - DTO","status":"completed"},{"step":"4. DateParserUtil.java - utility class","status":"completed"},{"step":"5. DateUtils.java - utility class","status":"completed"},{"step":"6. UniqueSignUtil.java - utility class","status":"completed"},{"step":"7. TransactionServiceImpl.java - service","status":"completed"},{"step":"8. AlipayCSVConverter.java","status":"completed"},{"step":"9. WechatExcelConverter.java","status":"completed"},{"step":"10. CmbCreditCardPDFConverter.java","status":"in_progress"},{"step":"11. CmbCsvConverter.java","status":"pending"},{"step":"12. JdCsvConverter.java","status":"pending"},{"step":"13. MeituanCsvConverter.java","status":"pending"},{"step":"14. DouyinExcelConverter.java","status":"pending"},{"step":"15. PSBCBankExcelConverter.java","status":"pending"},{"step":"16. ICBCBankExcelConverter.java","status":"pending"}]}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":171,"output":313,"cacheRead":74496,"cacheWrite":0,"totalTokens":74980,"cost":{"input":0.00017099999999999998,"output":0.0006259999999999999,"cacheRead":0,"cacheWrite":0,"total":0.000797}},"stopReason":"toolUse","timestamp":1778564817696,"responseId":"9a8829b3-318f-46d1-bcbb-284b2550c5ab","responseModel":"deepseek-v4-flash"}}
|
||
{"type":"message","id":"5ca72ea1","parentId":"596e2c45","timestamp":"2026-05-12T05:47:01.115Z","message":{"role":"toolResult","toolCallId":"call_00_dP7qJQw5kzcv8nWDcKhy5380","toolName":"update_plan","content":[],"details":{"status":"updated","plan":[{"step":"1. Transaction.java - model class","status":"completed"},{"step":"2. TransactionDTO.java - DTO","status":"completed"},{"step":"3. ExpenseReportQuery.java - DTO","status":"completed"},{"step":"4. DateParserUtil.java - utility class","status":"completed"},{"step":"5. DateUtils.java - utility class","status":"completed"},{"step":"6. UniqueSignUtil.java - utility class","status":"completed"},{"step":"7. TransactionServiceImpl.java - service","status":"completed"},{"step":"8. AlipayCSVConverter.java","status":"completed"},{"step":"9. WechatExcelConverter.java","status":"completed"},{"step":"10. CmbCreditCardPDFConverter.java","status":"in_progress"},{"step":"11. CmbCsvConverter.java","status":"pending"},{"step":"12. JdCsvConverter.java","status":"pending"},{"step":"13. MeituanCsvConverter.java","status":"pending"},{"step":"14. DouyinExcelConverter.java","status":"pending"},{"step":"15. PSBCBankExcelConverter.java","status":"pending"},{"step":"16. ICBCBankExcelConverter.java","status":"pending"}]},"isError":false,"timestamp":1778564821115}}
|
||
{"type":"message","id":"6d554b47","parentId":"5ca72ea1","timestamp":"2026-05-12T05:47:06.024Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_00_6pYBnazvxySf6VS9CVvG4950","name":"edit","arguments":{"path":"/home/yangxuan/Projects/IdeaProjects/ruoyi-vue-pro/yudao-module-family/src/main/java/cn/iocoder/yudao/module/family/converter/CmbCreditCardPDFConverter.java","edits":[{"oldText":"import java.text.SimpleDateFormat;\nimport java.util.ArrayList;","newText":"import java.time.LocalDate;\nimport java.time.LocalDateTime;\nimport java.time.format.DateTimeFormatter;\nimport java.util.ArrayList;"},{"oldText":"import java.util.Calendar;\nimport java.util.Collections;\nimport java.util.Date;","newText":"import java.util.Collections;"},{"oldText":" SimpleDateFormat sdf = new SimpleDateFormat(CmbConstants.DATE_FORMAT);\n transaction.setTradeTime(sdf.parse(fullTradeDate));","newText":" DateTimeFormatter formatter = DateTimeFormatter.ofPattern(CmbConstants.DATE_FORMAT);\n // fullTradeDate is yyyy-MM-dd (date-only), parse as LocalDate and convert to LocalDateTime at start of day\n java.time.LocalDate localDate = java.time.LocalDate.parse(fullTradeDate, formatter);\n transaction.setTradeTime(localDate.atStartOfDay());"},{"oldText":" private String getYearFromContext(String dateStr) {\n // 获取当前日期\n Calendar cal = Calendar.getInstance();\n int currentYear = cal.get(Calendar.YEAR);\n int currentMonth = cal.get(Calendar.MONTH) + 1; // 1-12月","newText":" private String getYearFromContext(String dateStr) {\n // 获取当前日期\n java.time.LocalDate now = java.time.LocalDate.now();\n int currentYear = now.getYear();\n int currentMonth = now.getMonthValue(); // 1-12月"},{"oldText":" standardData.put(\"convert_time\", new Date());","newText":" standardData.put(\"convert_time\", LocalDateTime.now());"}]}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":115,"output":484,"cacheRead":74880,"cacheWrite":0,"totalTokens":75479,"cost":{"input":0.00011499999999999999,"output":0.000968,"cacheRead":0,"cacheWrite":0,"total":0.001083}},"stopReason":"toolUse","timestamp":1778564821117,"responseId":"c23fa856-56f4-4406-b847-f7b2b694bc26","responseModel":"deepseek-v4-flash"}}
|
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{"type":"message","id":"b7e40707","parentId":"6d554b47","timestamp":"2026-05-12T05:47:06.446Z","message":{"role":"toolResult","toolCallId":"call_00_6pYBnazvxySf6VS9CVvG4950","toolName":"edit","content":[{"type":"text","text":"Successfully replaced 5 block(s) in /home/yangxuan/Projects/IdeaProjects/ruoyi-vue-pro/yudao-module-family/src/main/java/cn/iocoder/yudao/module/family/converter/CmbCreditCardPDFConverter.java."}],"details":{"diff":" ...\n 12 import org.springframework.web.multipart.MultipartFile;\n 13 \n 14 import java.io.InputStream;\n 15 import java.math.BigDecimal;\n- 16 import java.text.SimpleDateFormat;\n+ 16 import java.time.LocalDate;\n+ 17 import java.time.LocalDateTime;\n+ 18 import java.time.format.DateTimeFormatter;\n 17 import java.util.ArrayList;\n- 18 import java.util.Calendar;\n 19 import java.util.Collections;\n- 20 import java.util.Date;\n 21 import java.util.HashMap;\n 22 import java.util.List;\n 23 import java.util.Map;\n 24 import java.util.regex.Matcher;\n ...\n 424 \n 425 // transaction.setRecordDateStr(fullRecordDate);\n 426 \n 427 try {\n-428 SimpleDateFormat sdf = new SimpleDateFormat(CmbConstants.DATE_FORMAT);\n-429 transaction.setTradeTime(sdf.parse(fullTradeDate));\n+428 DateTimeFormatter formatter = DateTimeFormatter.ofPattern(CmbConstants.DATE_FORMAT);\n+429 // fullTradeDate is yyyy-MM-dd (date-only), parse as LocalDate and convert to LocalDateTime at start of day\n+430 java.time.LocalDate localDate = java.time.LocalDate.parse(fullTradeDate, formatter);\n+431 transaction.setTradeTime(localDate.atStartOfDay());\n 430 } catch (Exception e) {\n 431 throw new RuntimeException(\"日期格式错误: \" + fullTradeDate);\n 432 }\n 433 \n ...\n 517 * 主要处理逻辑：如果是12月的交易，可能属于前一年\n 518 */\n 519 private String getYearFromContext(String dateStr) {\n 520 // 获取当前日期\n-521 Calendar cal = Calendar.getInstance();\n-522 int currentYear = cal.get(Calendar.YEAR);\n-523 int currentMonth = cal.get(Calendar.MONTH) + 1; // 1-12月\n+523 java.time.LocalDate now = java.time.LocalDate.now();\n+524 int currentYear = now.getYear();\n+525 int currentMonth = now.getMonthValue(); // 1-12月\n 524 \n 525 // 解析日期字符串（格式：MM/dd）\n 526 String[] dateParts = dateStr.split(\"/\");\n 527 if (dateParts.length < 2) {\n ...\n 676 public Map<String, Object> toStandardFormat(ConvertResult<Transaction> convertResult) {\n 677 Map<String, Object> standardData = new HashMap<>();\n 678 \n 679 standardData.put(\"source_type\", \"cmb_credit_card\");\n-680 standardData.put(\"convert_time\", new Date());\n+682 standardData.put(\"convert_time\", LocalDateTime.now());\n 681 standardData.put(\"convert_result\", convertResult.getMessage());\n 682 \n 683 List<Map<String, Object>> transactions = new ArrayList<>();\n 684 for (Transaction tx : convertResult.getTransactions()) {\n ...","firstChangedLine":16},"isError":false,"timestamp":1778564826446}}
|
||
{"type":"message","id":"445ee197","parentId":"b7e40707","timestamp":"2026-05-12T05:47:09.468Z","message":{"role":"assistant","content":[{"type":"text","text":"Now CmbCsvConverter.java:"},{"type":"toolCall","id":"call_00_Ojq7AAAeB7KFnNvGJfQG5553","name":"update_plan","arguments":{"plan":[{"step":"1. Transaction.java - model class","status":"completed"},{"step":"2. TransactionDTO.java - DTO","status":"completed"},{"step":"3. ExpenseReportQuery.java - DTO","status":"completed"},{"step":"4. DateParserUtil.java - utility class","status":"completed"},{"step":"5. DateUtils.java - utility class","status":"completed"},{"step":"6. UniqueSignUtil.java - utility class","status":"completed"},{"step":"7. TransactionServiceImpl.java - service","status":"completed"},{"step":"8. AlipayCSVConverter.java","status":"completed"},{"step":"9. WechatExcelConverter.java","status":"completed"},{"step":"10. CmbCreditCardPDFConverter.java","status":"completed"},{"step":"11. CmbCsvConverter.java","status":"in_progress"},{"step":"12. JdCsvConverter.java","status":"pending"},{"step":"13. MeituanCsvConverter.java","status":"pending"},{"step":"14. DouyinExcelConverter.java","status":"pending"},{"step":"15. PSBCBankExcelConverter.java","status":"pending"},{"step":"16. ICBCBankExcelConverter.java","status":"pending"}]}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":156,"output":312,"cacheRead":75392,"cacheWrite":0,"totalTokens":75860,"cost":{"input":0.000156,"output":0.000624,"cacheRead":0,"cacheWrite":0,"total":0.00078}},"stopReason":"toolUse","timestamp":1778564826448,"responseId":"ca3c85b9-35ee-43d6-96f1-d42137f20f06","responseModel":"deepseek-v4-flash"}}
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{"type":"message","id":"e77d9df5","parentId":"445ee197","timestamp":"2026-05-12T05:47:09.744Z","message":{"role":"toolResult","toolCallId":"call_00_Ojq7AAAeB7KFnNvGJfQG5553","toolName":"update_plan","content":[],"details":{"status":"updated","plan":[{"step":"1. Transaction.java - model class","status":"completed"},{"step":"2. TransactionDTO.java - DTO","status":"completed"},{"step":"3. ExpenseReportQuery.java - DTO","status":"completed"},{"step":"4. DateParserUtil.java - utility class","status":"completed"},{"step":"5. DateUtils.java - utility class","status":"completed"},{"step":"6. UniqueSignUtil.java - utility class","status":"completed"},{"step":"7. TransactionServiceImpl.java - service","status":"completed"},{"step":"8. AlipayCSVConverter.java","status":"completed"},{"step":"9. WechatExcelConverter.java","status":"completed"},{"step":"10. CmbCreditCardPDFConverter.java","status":"completed"},{"step":"11. CmbCsvConverter.java","status":"in_progress"},{"step":"12. JdCsvConverter.java","status":"pending"},{"step":"13. MeituanCsvConverter.java","status":"pending"},{"step":"14. DouyinExcelConverter.java","status":"pending"},{"step":"15. PSBCBankExcelConverter.java","status":"pending"},{"step":"16. ICBCBankExcelConverter.java","status":"pending"}]},"isError":false,"timestamp":1778564829744}}
|
||
{"type":"message","id":"93418ff3","parentId":"e77d9df5","timestamp":"2026-05-12T05:47:19.739Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_00_aOfddVddOdCn4h0K8wps6821","name":"edit","arguments":{"path":"/home/yangxuan/Projects/IdeaProjects/ruoyi-vue-pro/yudao-module-family/src/main/java/cn/iocoder/yudao/module/family/converter/CmbCsvConverter.java","edits":[{"oldText":"import java.text.SimpleDateFormat;\nimport java.util.ArrayList;","newText":"import java.time.LocalDate;\nimport java.time.LocalDateTime;\nimport java.time.LocalTime;\nimport java.time.format.DateTimeFormatter;\nimport java.util.ArrayList;"},{"oldText":"import java.util.Date;","newText":""},{"oldText":" Date tradeDateTime = parseDateTime(dateStr, timeStr);\n transaction.setTradeTime(tradeDateTime);","newText":" LocalDateTime tradeDateTime = parseDateTime(dateStr, timeStr);\n transaction.setTradeTime(tradeDateTime);"},{"oldText":" private Date parseDateTime(String dateStr, String timeStr) throws Exception {\n if (dateStr == null || dateStr.trim().isEmpty()) {\n throw new Exception(\"交易日期不能为空\");\n }\n\n // 清理日期字符串\n String cleanedDate = cleanDateString(dateStr.trim());\n String cleanedTime = cleanTimeString(timeStr != null ? timeStr.trim() : \"00:00:00\");\n\n // 尝试常见日期格式\n String[] dateFormats = {\"yyyyMMdd\", \"yyyy-MM-dd\", \"yyyy/MM/dd\", \"yyyy年MM月dd日\"};\n String[] timeFormats = {\"HH:mm:ss\", \"HH:mm\"};\n\n for (String dateFormat : dateFormats) {\n for (String timeFormat : timeFormats) {\n try {\n SimpleDateFormat sdf = new SimpleDateFormat(dateFormat + \" \" + timeFormat);\n sdf.setLenient(false);\n return sdf.parse(cleanedDate + \" \" + cleanedTime);\n } catch (Exception e) {\n continue;\n }\n }\n }\n\n // 尝试宽松解析\n try {\n // 标准化格式\n String normalizedDate = cleanedDate.replaceAll(\"[^\\\\d]\", \"\");\n if (normalizedDate.length() == 8) {\n normalizedDate = normalizedDate.substring(0, 4) + \"-\" + normalizedDate.substring(4, 6) + \"-\" + normalizedDate.substring(6, 8);\n }\n\n String normalizedTime = cleanedTime;\n if (normalizedTime.split(\":\").length == 2) {\n normalizedTime += \":00\";\n }\n\n SimpleDateFormat sdf = new SimpleDateFormat(\"yyyy-MM-dd HH:mm:ss\");\n sdf.setLenient(true);\n return sdf.parse(normalizedDate + \" \" + normalizedTime);\n } catch (Exception e) {\n throw new Exception(\"无法解析日期时间: \" + dateStr + \" \" + timeStr);\n }\n }","newText":" private LocalDateTime parseDateTime(String dateStr, String timeStr) throws Exception {\n if (dateStr == null || dateStr.trim().isEmpty()) {\n throw new Exception(\"交易日期不能为空\");\n }\n\n // 清理日期字符串\n String cleanedDate = cleanDateString(dateStr.trim());\n String cleanedTime = cleanTimeString(timeStr != null ? timeStr.trim() : \"00:00:00\");\n\n // 尝试常见日期和时间格式\n String[] dateFormats = {\"yyyyMMdd\", \"yyyy-MM-dd\", \"yyyy/MM/dd\", \"yyyy年MM月dd日\"};\n String[] timeFormats = {\"HH:mm:ss\", \"HH:mm\"};\n\n for (String dateFormat : dateFormats) {\n for (String timeFormat : timeFormats) {\n try {\n DateTimeFormatter dateFormatter = DateTimeFormatter.ofPattern(dateFormat);\n DateTimeFormatter timeFormatter = DateTimeFormatter.ofPattern(timeFormat);\n LocalDate localDate = LocalDate.parse(cleanedDate, dateFormatter);\n LocalTime localTime = LocalTime.parse(cleanedTime, timeFormatter);\n return LocalDateTime.of(localDate, localTime);\n } catch (Exception e) {\n continue;\n }\n }\n }\n\n // 尝试宽松解析\n try {\n // 标准化格式\n String normalizedDate = cleanedDate.replaceAll(\"[^\\\\d]\", \"\");\n if (normalizedDate.length() == 8) {\n normalizedDate = normalizedDate.substring(0, 4) + \"-\" + normalizedDate.substring(4, 6) + \"-\" + normalizedDate.substring(6, 8);\n }\n\n String normalizedTime = cleanedTime;\n if (normalizedTime.split(\":\").length == 2) {\n normalizedTime += \":00\";\n }\n\n DateTimeFormatter formatter = DateTimeFormatter.ofPattern(\"yyyy-MM-dd HH:mm:ss\");\n return LocalDateTime.parse(normalizedDate + \" \" + normalizedTime, formatter);\n } catch (Exception e) {\n throw new Exception(\"无法解析日期时间: \" + dateStr + \" \" + timeStr);\n }\n }"},{"oldText":" standardData.put(\"convert_time\", new Date());","newText":" standardData.put(\"convert_time\", LocalDateTime.now());"}]}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":99,"output":1296,"cacheRead":75776,"cacheWrite":0,"totalTokens":77171,"cost":{"input":0.000099,"output":0.0025919999999999997,"cacheRead":0,"cacheWrite":0,"total":0.002691}},"stopReason":"toolUse","timestamp":1778564829746,"responseId":"158748e5-7098-4f64-ad9c-c5cbd4fa87e1","responseModel":"deepseek-v4-flash"}}
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{"type":"message","id":"68c65f8a","parentId":"93418ff3","timestamp":"2026-05-12T05:47:20.197Z","message":{"role":"toolResult","toolCallId":"call_00_aOfddVddOdCn4h0K8wps6821","toolName":"edit","content":[{"type":"text","text":"Successfully replaced 5 block(s) in /home/yangxuan/Projects/IdeaProjects/ruoyi-vue-pro/yudao-module-family/src/main/java/cn/iocoder/yudao/module/family/converter/CmbCsvConverter.java."}],"details":{"diff":" ...\n 14 import org.springframework.web.multipart.MultipartFile;\n 15 \n 16 import java.io.IOException;\n 17 import java.math.BigDecimal;\n- 18 import java.text.SimpleDateFormat;\n+ 18 import java.time.LocalDate;\n+ 19 import java.time.LocalDateTime;\n+ 20 import java.time.LocalTime;\n+ 21 import java.time.format.DateTimeFormatter;\n 19 import java.util.ArrayList;\n 20 import java.util.Collections;\n- 21 import java.util.Date;\n+ 24 \n 22 import java.util.HashMap;\n 23 import java.util.List;\n 24 import java.util.Map;\n 25 \n ...\n 251 String timeStr = getValueByHeader(record, columnMap, \"交易时间\");\n 252 \n 253 // 3. 合并日期和时间\n 254 try {\n-255 Date tradeDateTime = parseDateTime(dateStr, timeStr);\n+258 LocalDateTime tradeDateTime = parseDateTime(dateStr, timeStr);\n 256 transaction.setTradeTime(tradeDateTime);\n 257 } catch (Exception e) {\n 258 log.warn(\"第{}行日期时间解析失败: {}/{} - {}\", rowNumber, dateStr, timeStr, e.getMessage());\n 259 transaction.setTradeTime(null);\n ...\n 324 \n 325 /**\n 326 * 合并日期和时间\n 327 */\n-328 private Date parseDateTime(String dateStr, String timeStr) throws Exception {\n+331 private LocalDateTime parseDateTime(String dateStr, String timeStr) throws Exception {\n 329 if (dateStr == null || dateStr.trim().isEmpty()) {\n 330 throw new Exception(\"交易日期不能为空\");\n 331 }\n 332 \n 333 // 清理日期字符串\n 334 String cleanedDate = cleanDateString(dateStr.trim());\n 335 String cleanedTime = cleanTimeString(timeStr != null ? timeStr.trim() : \"00:00:00\");\n 336 \n-337 // 尝试常见日期格式\n+340 // 尝试常见日期和时间格式\n 338 String[] dateFormats = {\"yyyyMMdd\", \"yyyy-MM-dd\", \"yyyy/MM/dd\", \"yyyy年MM月dd日\"};\n 339 String[] timeFormats = {\"HH:mm:ss\", \"HH:mm\"};\n 340 \n 341 for (String dateFormat : dateFormats) {\n 342 for (String timeFormat : timeFormats) {\n 343 try {\n-344 SimpleDateFormat sdf = new SimpleDateFormat(dateFormat + \" \" + timeFormat);\n-345 sdf.setLenient(false);\n-346 return sdf.parse(cleanedDate + \" \" + cleanedTime);\n+347 DateTimeFormatter dateFormatter = DateTimeFormatter.ofPattern(dateFormat);\n+348 DateTimeFormatter timeFormatter = DateTimeFormatter.ofPattern(timeFormat);\n+349 LocalDate localDate = LocalDate.parse(cleanedDate, dateFormatter);\n+350 LocalTime localTime = LocalTime.parse(cleanedTime, timeFormatter);\n+351 return LocalDateTime.of(localDate, localTime);\n 347 } catch (Exception e) {\n 348 continue;\n 349 }\n 350 }\n ...\n 362 if (normalizedTime.split(\":\").length == 2) {\n 363 normalizedTime += \":00\";\n 364 }\n 365 \n-366 SimpleDateFormat sdf = new SimpleDateFormat(\"yyyy-MM-dd HH:mm:ss\");\n-367 sdf.setLenient(true);\n-368 return sdf.parse(normalizedDate + \" \" + normalizedTime);\n+371 DateTimeFormatter formatter = DateTimeFormatter.ofPattern(\"yyyy-MM-dd HH:mm:ss\");\n+372 return LocalDateTime.parse(normalizedDate + \" \" + normalizedTime, formatter);\n 369 } catch (Exception e) {\n 370 throw new Exception(\"无法解析日期时间: \" + dateStr + \" \" + timeStr);\n 371 }\n 372 }\n ...\n 432 public Map<String, Object> toStandardFormat(ConvertResult<Transaction> convertResult) {\n 433 Map<String, Object> standardData = new HashMap<>();\n 434 \n 435 standardData.put(\"source_type\", \"cmb\");\n-436 standardData.put(\"convert_time\", new Date());\n+440 standardData.put(\"convert_time\", LocalDateTime.now());\n 437 standardData.put(\"convert_result\", convertResult.getMessage());\n 438 \n 439 List<Map<String, Object>> transactions = new ArrayList<>();\n 440 for (Transaction tx : convertResult.getTransactions()) {\n ...","firstChangedLine":18},"isError":false,"timestamp":1778564840197}}
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