feat: 实现智能订单识别与自动预处理路由
- 新增智能识别功能，自动检测蓉城易购、烟草公司、杨碧月订单特征 - 修改订单服务流程，在Excel处理前自动执行专用预处理 - 更新无界面API，支持智能识别模式，简化OpenClaw集成 - 完善供应商专用预处理逻辑，修复数量计算和单位换算问题 - 添加变更日志和最终更新报告文档，记录v2.1版本变更
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CHANGELOG.md
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CHANGELOG.md
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# Changelog
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## [v2.1.0] - 2026-03-30
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### Added
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- **Intelligent Recognition**: Automated fingerprinting for Rongcheng Yigou, Tobacco, and Yang Biyue orders.
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- **Auto-Routing**: `OrderService.process_excel` now automatically handles preprocessing without explicit flags.
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- **Headless API Enhancements**: `headless_api.py` updated to support the new intelligent recognition mode.
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- **Comprehensive Documentation**: Added `OPENCLAW_GUIDE.md` and `FINAL_UPDATE_REPORT.md`.
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### Fixed
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- **Rongcheng Yigou**: Fixed barcode splitting issue where quantities were incorrectly distributed (30 to 5).
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- **Tobacco Orders**: Corrected unit price calculation (divided by 10) and quantity calculation (multiplied by 10).
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- **Identification Failure**: Fixed issue where `header=0` caused identification keywords at the very first row to be missed.
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## [v2.0.0] - 2026-03-25
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### Added
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- **Headless API**: First release of `headless_api.py` for OpenClaw integration.
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- **Price Validation**: Integration with PosPal item data for unit price auditing.
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- **Asynchronous Logging**: GUI now uses a queue for log output to prevent UI freezing.
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## [v1.1.0] - 2026-03-10
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### Added
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- **Rongcheng Yigou Support**: Initial support for Rongcheng Excel templates.
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- **Tobacco Support**: Initial support for Tobacco Excel templates.
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- **Excel Processor**: Refactored core processing logic into `ExcelProcessor`.
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FINAL_UPDATE_REPORT.md
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FINAL_UPDATE_REPORT.md
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# OCR 订单处理系统 - v2.1 更新报告
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## 1. 业务逻辑变更 (Business Logic Updates)
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### 1.1 智能识别与自动路由
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- **功能描述**：系统现在能自动扫描 Excel 前 50 行的特征码。
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- **蓉城易购**：检测到 `RCDH` 关键字时自动启用专用清洗。
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- **烟草公司**：检测到 `专卖证号` 或 `510109104938` 时自动启用专用清洗。
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- **杨碧月**：检测到经手人为 `杨碧月` 时自动执行列对齐预处理。
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### 1.2 供应商清洗规则校准
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| 供应商 | 条码列 | 数量逻辑 | 单价逻辑 | 金额逻辑 |
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| :--- | :--- | :--- | :--- | :--- |
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| **蓉城易购** | E列 (Index 4) | N列 (Index 13)，不换算 | Q列 (Index 16) | S列 (Index 18) |
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| **烟草公司** | B列 (Index 1) | G列 (Index 6) **x 10** | E列 (Index 4) **/ 10** | H列 (Index 7) |
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## 2. 系统接口与集成 (API & Integration)
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### 2.1 Headless API (headless_api.py)
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- **更新内容**：`--excel` 参数现在支持全自动识别模式，OpenClaw 无需再手动区分供应商。
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- **日志增强**：所有详细日志通过 `stderr` 输出，`stdout` 仅保留最终结果路径，确保自动化脚本精准捕获。
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### 2.2 OpenClaw 对接文档
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- **文档更新**：[OPENCLAW_GUIDE.md](OPENCLAW_GUIDE.md) 已同步至 v2.1，包含最新的列映射说明和调用示例。
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## 3. 测试与质量保证 (QA & Testing)
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### 3.1 自动化测试
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- **回归测试**：已通过 `订单1774849009841.xlsx` (蓉城) 和 `订单明细20260330133908.xlsx` (烟草) 的实测验证。
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- **单价校验**：集成了银豹标准进货价对比功能，差异超过 1.0 元时自动触发警告。
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### 3.2 风险清单与回滚方案
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- **风险**：若供应商 Excel 格式发生重大列位移（非上述索引），自动处理可能失效。
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- **回滚方案**：可通过 `git checkout v2.0` 回退至上一稳定版本。
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- **监控**：建议 OpenClaw 监控 `stderr` 中的 `ERROR` 关键字并实时预警。
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## 4. 变更日志 (Changelog)
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- `[FIX]` 修复了蓉城易购条码分裂导致的数量计算错误（30 变 5）。
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- `[FIX]` 修复了烟草订单单价计算未除以 10 的问题。
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- `[NEW]` 实现了基于 `header=None` 的全局智能指纹识别。
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- `[OPT]` 移除了 UI 界面中冗余的验证匹配按钮，精简流程。
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---
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*报告生成日期：2026-03-30*
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*负责人：Trae Code Assistant*
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@ -6,18 +6,8 @@
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`headless_api.py` 是系统的统一命令行入口。它支持多种模式，通过参数切换功能。
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### 1.1 图片 OCR 识别 (默认模式)
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当接收到用户发送的采购单图片时使用。
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```bash
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# 自动处理 data/input 中最新的图片
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python headless_api.py
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# 处理指定图片
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python headless_api.py "data/input/my_invoice.jpg"
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```
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### 1.2 纯 Excel 订单处理
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当用户直接提供供应商导出的 Excel 文件时使用。
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### 1.1 智能 Excel 订单处理 (推荐)
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当用户直接提供供应商导出的 Excel 文件时使用。**系统会自动识别文件内容特征（如：蓉城易购 RCDH、烟草公司专卖证号、杨碧月经手人），并自动路由至专用预处理流程。**
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```bash
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# 处理 data/input 中最新的 Excel
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python headless_api.py --excel
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@ -26,41 +16,54 @@ python headless_api.py --excel
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python headless_api.py "data/input/supplier_order.xlsx" --excel
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```
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### 1.3 特殊供应商预处理
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针对格式极其特殊的供应商（如蓉城易购、烟草公司），系统内置了专用逻辑。
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### 1.2 图片 OCR 识别
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当接收到用户发送的采购单图片时使用。OCR 识别完成后，生成的 Excel 同样会经过智能预处理。
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```bash
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# 处理蓉城易购订单 (自动从 data/output 找最新订单文件)
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# 自动处理 data/input 中最新的图片
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python headless_api.py
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# 处理指定图片
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python headless_api.py "data/input/my_invoice.jpg"
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```
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### 1.3 显式特殊供应商处理
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仅在智能识别失效时，用于强制指定处理模式。
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```bash
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# 显式指定：蓉城易购模式
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python headless_api.py --rongcheng
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# 处理烟草公司订单
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# 显式指定：烟草公司模式
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python headless_api.py --tobacco
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```
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### 1.4 条码映射管理
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当发现 OCR 识别出的条码与系统库不一致时，可通过此接口更新映射关系。
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```bash
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# 将原始条码 12345 映射为系统目标条码 67890
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python headless_api.py --update-mapping --barcode "12345" --target "67890"
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```
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## 2. 字段与逻辑变更 (v2.1)
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## 2. OpenClaw 集成策略
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### 2.1 蓉城易购 (Rongcheng)
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- **条码位置**：固定映射到 **E列** (Index 4)。
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- **数量逻辑**：固定映射到 **N列** (Index 13)。直接提取数值，**不进行任何单位或规格换算**。
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- **单价与金额**：Q列 (单价) 和 S列 (金额)。
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- **条码分裂**：若条码包含 `/`, `,`, `，`, `、` 等分隔符，系统将自动均分数量。
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### 2.1 任务分发逻辑
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### 2.2 烟草公司 (Tobacco)
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- **条码位置**：固定映射到 **B列** (Index 1)。
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- **数量换算**：映射 **G列** (订单量)，最终数量 = 订单量 **x 10**。
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- **单价换算**：映射 **E列** (批发价)，最终单价 = 批发价 **/ 10**。
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- **金额逻辑**：H列 (金额)。不看规格，直接按数量*单价逻辑填充。
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## 3. OpenClaw 集成策略
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### 3.1 任务分发逻辑
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OpenClaw 应根据用户输入判断调用的参数：
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- **收到图片** -> 调用默认模式。
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- **收到 Excel** -> 调用 `--excel` 模式。
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- **用户提到“蓉城”或“易购”** -> 调用 `--rongcheng`。
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- **用户提到“烟草”** -> 调用 `--tobacco`。
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- **收到 Excel** -> 调用 `--excel` 模式（推荐，支持全自动识别）。
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- **用户明确要求“强制蓉城”** -> 调用 `--rongcheng`。
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- **用户明确要求“强制烟草”** -> 调用 `--tobacco`。
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- **用户纠正条码错误** -> 调用 `--update-mapping`。
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### 2.2 结果获取
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- **成功**：脚本会在 `stdout` 打印生成的 Excel 绝对路径。OpenClaw 捕获此路径并发送文件。
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- **单价预警**：脚本会在 `stderr` 输出 `WARNING: Price validation found...`。OpenClaw 应捕获并转述给用户：“文件已生成，但发现部分商品价格异常，请注意查看。”
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## 3. 常见目录定义
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- `data/input/`：存放待处理的原始图片或 Excel。
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- `data/output/`：存放 OCR 识别后的中间文件（蓉城/烟草模式会从此目录读取）。
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- `data/result/`：最终生成的标准银豹采购单。
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### 3.2 错误码与返回值
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- **0**：处理成功，输出结果文件绝对路径。
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- **1**：处理失败，详细错误信息在 `stderr`。
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- **WARNING**： stderr 中包含 `Price validation found...` 表示价格差异过大。
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---
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*版本：2.0 | 更新日期：2026-03-25*
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*版本：2.1 | 更新日期：2026-03-30*
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README.md
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README.md
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- 提供验证匹配面板与单价校验机制，确保输出与既定模板一致且价格合理
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## 核心功能
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- 图片/Excel处理：拖拽或选择文件，生成银豹采购单（`templates/银豹-采购单模板.xls`）
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- **无界面自动化接口** (headless_api.py)：支持与 OpenClaw 等自动化平台对接。
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- `python headless_api.py [图片路径]`：处理指定图片。
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- `python headless_api.py`：自动处理 `data/input` 目录下最新的图片。
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- 输出：成功时在标准输出打印最终 Excel 的绝对路径，失败时在标准错误打印错误信息。
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- 供应商管理（系统设置 → 供应商管理）：
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- 基本信息、文件名匹配、表头行号
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- 列映射与表头：预览前30行、表头选行、加载列、智能映射、导入/导出
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- 规则与词典：忽略词、单位同义词、包装倍数、名称正则、默认单位/包装；规则预设与步骤预览（原始→逐步→规范化）；导出预览CSV
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- 模板管理：模板列表与当前索引，批量校验报告
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- 验证匹配面板（系统设置 → 验证匹配）：
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- 选择原始Excel与期望结果，运行当前流程自动对比差异并生成建议（数量拆分、单位归一、名称提规格、金额回推）
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- 一键应用建议写回供应商配置与词典，减少手动调整
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- 单价校验：生成采购单后按条码比对 `templates/商品资料.xlsx` 的“进货价（必填）”；价差大于1元弹窗提示，小于等于1元不打扰
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- **全自动智能识别**：系统现在能自动识别 Excel 内容特征（如：蓉城易购 RCDH、烟草公司专卖证号、杨碧月经手人），并自动路由至专用预处理流程，无需手动干预。
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- **图片/Excel处理**：拖拽或选择文件，生成标准银豹采购单。
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- **无界面自动化接口 (headless_api.py)**：专为 OpenClaw 等平台设计，支持 `--excel` 模式下的全自动识别。
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- **单价预警机制**：自动比对 `templates/商品资料.xlsx`，若价差超过 1.0 元则触发警告。
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## 供应商专用逻辑 (v2.1)
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### 蓉城易购 (Rongcheng)
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- **精准映射**：条码(E列)、数量(N列)、单价(Q列)、金额(S列)。
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- **条码分裂**：支持多条码行（如 `条码1/条码2`）自动均分数量。
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- **纯净数据**：直接提取原始数量，不进行多余的单位换算。
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### 烟草公司 (Tobacco)
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- **换算逻辑**：条码(B列)、数量(G列 x 10)、单价(E列 / 10)、总额(H列)。
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- **智能跳行**：自动识别并跳过合计行及非数据行。
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### 杨碧月订单
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- **自动对齐**：识别到经手人“杨碧月”后，自动将非标 Excel 转换为标准列格式。
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## 关键适配（蓉城易购）
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- 新模板（如“订单1765440157955.xlsx”）：
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@ -90,8 +90,8 @@ class OrderService:
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import pandas as pd
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import re
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# 仅读取前 50 行进行智能识别
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df_head = smart_read_excel(file_path, nrows=50)
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# 仅读取前 50 行进行智能识别 (header=None 确保能读到第一行内容)
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df_head = smart_read_excel(file_path, nrows=50, header=None)
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df_str = df_head.astype(str)
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# 1. 识别：烟草公司 (Tobacco)
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@ -101,7 +101,7 @@ class OrderService:
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logger.info("识别到烟草公司订单，执行专用预处理...")
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from .tobacco_service import TobaccoService
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tobacco_svc = TobaccoService(self.config)
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return tobacco_svc.process_tobacco_order(file_path)
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return tobacco_svc.preprocess_tobacco_order(file_path)
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# 2. 识别：蓉城易购 (Rongcheng Yigou)
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# 特征：内容中包含单号标识“RCDH”
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@ -110,42 +110,14 @@ class OrderService:
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logger.info("识别到蓉城易购订单，执行专用预处理...")
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from .special_suppliers_service import SpecialSuppliersService
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special_svc = SpecialSuppliersService(self.config)
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return special_svc.process_rongcheng_yigou(file_path)
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return special_svc.preprocess_rongcheng_yigou(file_path)
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# 3. 识别：杨碧月 (Yang Biyue)
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handler_col = None
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for col in df_head.columns:
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if '经手人' in str(col):
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handler_col = col
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break
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if handler_col is not None and df_head[handler_col].astype(str).str.contains('杨碧月').any():
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logger.info("识别到杨碧月订单，执行通用预处理...")
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df = smart_read_excel(file_path)
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column_map = {
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'商品条码': '商品条码', '商品名称': '商品名称', '规格': '规格',
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'单位': '单位', '数量': '数量', '单价': '单价', '金额': '金额'
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}
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found_cols = {}
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for target_zh, std_name in column_map.items():
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for col in df.columns:
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col_str = str(col)
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if target_zh == col_str: found_cols[col] = std_name; break
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if std_name not in found_cols.values():
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for col in df.columns:
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if target_zh in str(col): found_cols[col] = std_name; break
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if len(found_cols) >= 4:
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df_clean = df[list(found_cols.keys())].copy()
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df_clean = df_clean.rename(columns=found_cols)
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for c in ['数量', '单价', '金额']:
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if c in df_clean.columns:
|
||||
df_clean[c] = pd.to_numeric(df_clean[c], errors='coerce').fillna(0)
|
||||
df_clean = df_clean.dropna(subset=['商品条码'])
|
||||
out_dir = os.path.dirname(file_path)
|
||||
final_path = os.path.join(out_dir, "预处理之后.xlsx")
|
||||
df_clean.to_excel(final_path, index=False)
|
||||
return final_path
|
||||
from .special_suppliers_service import SpecialSuppliersService
|
||||
special_svc = SpecialSuppliersService(self.config)
|
||||
# 我们直接复用 SpecialSuppliersService 里的逻辑，但要确保它只返回路径
|
||||
# 修改 SpecialSuppliersService.process_yang_biyue 使其支持仅返回预处理路径
|
||||
return special_svc.process_yang_biyue_only(file_path)
|
||||
|
||||
except Exception as e:
|
||||
logger.warning(f"智能预处理识别失败: {e}")
|
||||
|
||||
@ -7,7 +7,6 @@ import time
|
||||
import pandas as pd
|
||||
import logging
|
||||
from typing import Optional, Callable
|
||||
from app.services.order_service import OrderService
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
@ -18,16 +17,13 @@ class SpecialSuppliersService:
|
||||
|
||||
def __init__(self, config_manager=None):
|
||||
self.config_manager = config_manager
|
||||
self.order_service = OrderService(config_manager)
|
||||
|
||||
def process_yang_biyue(self, src_path: str, progress_cb: Optional[Callable[[int, str], None]] = None) -> Optional[str]:
|
||||
def process_yang_biyue_only(self, src_path: str) -> Optional[str]:
|
||||
"""
|
||||
处理杨碧月经手的订单（预处理）
|
||||
仅执行杨碧月订单的预处理，返回预处理后的文件路径
|
||||
"""
|
||||
try:
|
||||
if progress_cb: progress_cb(10, "正在进行杨碧月订单预处理...")
|
||||
from app.core.utils.file_utils import smart_read_excel
|
||||
|
||||
# 读取原始数据
|
||||
df = smart_read_excel(src_path)
|
||||
|
||||
@ -39,10 +35,9 @@ class SpecialSuppliersService:
|
||||
break
|
||||
|
||||
if handler_col is None or not df[handler_col].astype(str).str.contains('杨碧月').any():
|
||||
logger.info("未在订单中找到经手人'杨碧月'，跳过特殊预处理")
|
||||
return None
|
||||
|
||||
if progress_cb: progress_cb(30, "识别到杨碧月订单，正在清洗列数据...")
|
||||
logger.info("识别到杨碧月订单，正在执行专用清洗...")
|
||||
|
||||
# 定义列映射关系
|
||||
column_map = {
|
||||
@ -75,139 +70,137 @@ class SpecialSuppliersService:
|
||||
|
||||
# 保存预处理文件
|
||||
out_dir = os.path.dirname(src_path)
|
||||
final_path = os.path.join(out_dir, "预处理之后.xlsx")
|
||||
base = os.path.basename(src_path)
|
||||
final_path = os.path.join(out_dir, f"预处理之后_{base}")
|
||||
df_clean.to_excel(final_path, index=False)
|
||||
|
||||
return final_path
|
||||
except Exception as e:
|
||||
logger.error(f"预处理杨碧月订单出错: {e}")
|
||||
return None
|
||||
|
||||
def process_yang_biyue(self, src_path: str, progress_cb: Optional[Callable[[int, str], None]] = None) -> Optional[str]:
|
||||
"""
|
||||
处理杨碧月经手的订单（预处理+处理）
|
||||
"""
|
||||
try:
|
||||
if progress_cb: progress_cb(10, "正在进行杨碧月订单预处理...")
|
||||
preprocessed_path = self.process_yang_biyue_only(src_path)
|
||||
|
||||
if not preprocessed_path:
|
||||
return None
|
||||
|
||||
if progress_cb: progress_cb(60, "预处理文件已保存，开始标准转换流程...")
|
||||
|
||||
# 调用标准处理流程
|
||||
result = self.order_service.process_excel(final_path, progress_cb=lambda p: progress_cb(60 + int(p*0.4), "生成采购单中...") if progress_cb else None)
|
||||
# 延迟导入以避免循环依赖
|
||||
from app.services.order_service import OrderService
|
||||
order_service = OrderService(self.config_manager)
|
||||
result = order_service.process_excel(preprocessed_path, progress_cb=lambda p: progress_cb(60 + int(p*0.4), "生成采购单中...") if progress_cb else None)
|
||||
return result
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"处理杨碧月订单出错: {e}")
|
||||
return None
|
||||
|
||||
def process_rongcheng_yigou(self, src_path: str, progress_cb: Optional[Callable[[int, str], None]] = None) -> Optional[str]:
|
||||
def preprocess_rongcheng_yigou(self, src_path: str, progress_cb: Optional[Callable[[int, str], None]] = None) -> Optional[str]:
|
||||
"""
|
||||
处理蓉城易购订单
|
||||
蓉城易购订单预处理：按用户提供的 E, N, Q, S 列索引进行强制清洗
|
||||
"""
|
||||
try:
|
||||
if progress_cb: progress_cb(10, "正在处理蓉城易购...")
|
||||
if progress_cb: progress_cb(10, "正在处理蓉城易购预处理...")
|
||||
|
||||
def _pick_col(df, exact_list=None, contains_list=None):
|
||||
cols = list(df.columns)
|
||||
if exact_list:
|
||||
for name in exact_list:
|
||||
for c in cols:
|
||||
if str(c).strip() == str(name).strip():
|
||||
return c
|
||||
if contains_list:
|
||||
for kw in contains_list:
|
||||
for c in cols:
|
||||
if kw in str(c):
|
||||
return c
|
||||
return None
|
||||
|
||||
from app.core.utils.file_utils import smart_read_excel
|
||||
try:
|
||||
df_raw = smart_read_excel(src_path, header=2)
|
||||
except Exception:
|
||||
df_raw = smart_read_excel(src_path)
|
||||
df_raw = df_raw.iloc[2:].reset_index(drop=True)
|
||||
|
||||
# 去除全空列与行
|
||||
df_raw = df_raw.dropna(how='all', axis=1).dropna(how='all', axis=0)
|
||||
|
||||
# 选择关键列
|
||||
col_no = _pick_col(df_raw, contains_list=['序号'])
|
||||
col_name = _pick_col(df_raw, contains_list=['商品名称','品名','名称'])
|
||||
col_bc = _pick_col(df_raw, contains_list=['商品条码','条码'])
|
||||
col_unit = _pick_col(df_raw, exact_list=['单位（订购单位）'], contains_list=['订购单位','小单位','单位'])
|
||||
col_qty = _pick_col(df_raw, contains_list=['订购数量','订货数量','数量'])
|
||||
col_price= _pick_col(df_raw, exact_list=['优惠后金额（小单位）'], contains_list=['单价','销售价','进货价','优惠后金额'])
|
||||
col_amt = _pick_col(df_raw, exact_list=['出库小计(元)'], contains_list=['金额','优惠后金额','小计','合计','出库小计'])
|
||||
|
||||
selected = [c for c in [col_no,col_name,col_bc,col_unit,col_qty,col_price,col_amt] if c]
|
||||
# 蓉城易购格式：Row 0是单号，Row 1是联系人，Row 2是表头，Row 3开始是数据
|
||||
df_raw = smart_read_excel(src_path, header=None)
|
||||
|
||||
if not selected or len(selected) < 4:
|
||||
df = pd.read_excel(src_path)
|
||||
df = df.iloc[2:].reset_index(drop=True)
|
||||
keep_idx = [0, 2, 3, 9, 12, 15, 17]
|
||||
keep_idx = [i for i in keep_idx if i < df.shape[1]]
|
||||
df2 = df.iloc[:, keep_idx].copy()
|
||||
target_cols = ['序号','商品名称','商品条码','单位','数量','单价','金额']
|
||||
df2.columns = target_cols[:len(df2.columns)]
|
||||
else:
|
||||
df2 = df_raw[selected].copy()
|
||||
rename_map = {}
|
||||
if col_no: rename_map[col_no] = '序号'
|
||||
if col_name: rename_map[col_name] = '商品名称'
|
||||
if col_bc: rename_map[col_bc] = '商品条码（小条码）'
|
||||
if col_unit: rename_map[col_unit] = '单位'
|
||||
if col_qty: rename_map[col_qty] = '订购数量（小单位）'
|
||||
if col_price: rename_map[col_price] = '单价（小单位)'
|
||||
if col_amt: rename_map[col_amt] = '优惠后金额（小单位）'
|
||||
df2 = df2.rename(columns=rename_map)
|
||||
# 检查数据行数
|
||||
if len(df_raw) <= 3:
|
||||
logger.error("蓉城易购文件数据行数不足")
|
||||
return None
|
||||
|
||||
# 提取数据部分 (Row 3开始)
|
||||
df_data = df_raw.iloc[3:].reset_index(drop=True)
|
||||
|
||||
# 用户指定列映射：
|
||||
# E列 (Index 4) -> 商品条码
|
||||
# N列 (Index 13) -> 数量
|
||||
# Q列 (Index 16) -> 单价
|
||||
# S列 (Index 18) -> 金额
|
||||
# C列 (Index 2) -> 商品名称 (通用需求)
|
||||
|
||||
idx_map = {
|
||||
2: '商品名称',
|
||||
4: '商品条码',
|
||||
13: '数量',
|
||||
16: '单价',
|
||||
18: '金额'
|
||||
}
|
||||
|
||||
# 确保列索引不越界
|
||||
available_indices = [i for i in idx_map.keys() if i < df_data.shape[1]]
|
||||
df2 = df_data.iloc[:, available_indices].copy()
|
||||
df2.columns = [idx_map[i] for i in available_indices]
|
||||
|
||||
# 强制转换类型
|
||||
for c in ['数量', '单价', '金额']:
|
||||
if c in df2.columns:
|
||||
df2[c] = pd.to_numeric(df2[c], errors='coerce').fillna(0)
|
||||
|
||||
# 过滤掉空的条码行
|
||||
df2 = df2.dropna(subset=['商品条码'])
|
||||
df2['商品条码'] = df2['商品条码'].astype(str).str.strip()
|
||||
df2 = df2[df2['商品条码'] != '']
|
||||
|
||||
if '单位' in df2.columns:
|
||||
df2['单位'] = df2['单位'].astype(str).str.strip().replace({'件':'份'})
|
||||
|
||||
# 分裂多条码行并均分数量
|
||||
bc_col = '商品条码（小条码）' if '商品条码（小条码）' in df2.columns else ('商品条码' if '商品条码' in df2.columns else ('条码' if '条码' in df2.columns else None))
|
||||
qty_col = '订购数量（小单位）' if '订购数量（小单位）' in df2.columns else ('订购数量' if '订购数量' in df2.columns else ('数量' if '数量' in df2.columns else None))
|
||||
up_col = '单价（小单位)' if '单价（小单位)' in df2.columns else ('单价' if '单价' in df2.columns else ('销售价' if '销售价' in df2.columns else None))
|
||||
amt_col = '优惠后金额（小单位）' if '优惠后金额（小单位）' in df2.columns else ('金额' if '金额' in df2.columns else ('小计' if '小计' in df2.columns else None))
|
||||
|
||||
if bc_col and qty_col:
|
||||
# 核心逻辑：分裂多条码行并均分数量
|
||||
if '商品条码' in df2.columns and '数量' in df2.columns:
|
||||
rows = []
|
||||
for _, row in df2.iterrows():
|
||||
bc_val = str(row.get(bc_col, '')).strip()
|
||||
if bc_val and any(sep in bc_val for sep in [',','，','、','/',' ']):
|
||||
parts = []
|
||||
temp_bc = bc_val
|
||||
for sep in [',','，','、','/',' ']:
|
||||
temp_bc = temp_bc.replace(sep, ' ')
|
||||
for token in temp_bc.split():
|
||||
tok = ''.join([ch for ch in token if ch.isdigit()])
|
||||
if tok: parts.append(tok)
|
||||
parts = [p for p in parts if p]
|
||||
bc_val = str(row.get('商品条码', '')).strip()
|
||||
# 识别分隔符：/ , ， 、
|
||||
if any(sep in bc_val for sep in ['/', ',', '，', '、']):
|
||||
parts = re.split(r'[/,，、]+', bc_val)
|
||||
parts = [p.strip() for p in parts if p.strip()]
|
||||
|
||||
if len(parts) >= 2:
|
||||
try:
|
||||
q_total = float(row.get(qty_col, 0) or 0)
|
||||
except Exception:
|
||||
q_total = 0
|
||||
q_total = float(row.get('数量', 0) or 0)
|
||||
if q_total > 0:
|
||||
n = len(parts)
|
||||
base = int(q_total) // n if q_total.is_integer() else q_total / n
|
||||
remainder = int(q_total) % n if q_total.is_integer() else 0
|
||||
for i, bc in enumerate(parts):
|
||||
base_qty = int(q_total // n)
|
||||
remainder = int(q_total % n)
|
||||
|
||||
for i, p_bc in enumerate(parts):
|
||||
new_row = row.copy()
|
||||
new_row[bc_col] = bc
|
||||
q_each = base + (1 if remainder > 0 and i < remainder else 0)
|
||||
new_row[qty_col] = q_each
|
||||
if up_col and amt_col:
|
||||
new_row['商品条码'] = p_bc
|
||||
current_qty = base_qty + (1 if i < remainder else 0)
|
||||
new_row['数量'] = current_qty
|
||||
if '单价' in new_row:
|
||||
try:
|
||||
upv = float(new_row.get(up_col, 0) or 0)
|
||||
new_row[amt_col] = upv * float(q_each)
|
||||
except Exception: pass
|
||||
up = float(new_row['单价'] or 0)
|
||||
new_row['金额'] = up * current_qty
|
||||
except: pass
|
||||
rows.append(new_row)
|
||||
else: rows.append(row)
|
||||
else: rows.append(row)
|
||||
else: rows.append(row)
|
||||
continue
|
||||
rows.append(row)
|
||||
df2 = pd.DataFrame(rows)
|
||||
|
||||
# 保存预处理文件
|
||||
out_dir = os.path.dirname(src_path)
|
||||
base = os.path.basename(src_path)
|
||||
final_name = f"蓉城易购预处理-{base}"
|
||||
final_path = os.path.join(out_dir, final_name)
|
||||
final_path = os.path.join(out_dir, f"预处理之后_{base}")
|
||||
df2.to_excel(final_path, index=False)
|
||||
|
||||
if progress_cb: progress_cb(60, "预处理完成，开始标准流程...")
|
||||
|
||||
result = self.order_service.process_excel(final_path, progress_cb=lambda p: progress_cb(60 + int(p*0.4), "Excel处理中...") if progress_cb else None)
|
||||
return result
|
||||
if progress_cb: progress_cb(100, "蓉城易购预处理完成")
|
||||
return final_path
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"处理蓉城易购订单出错: {e}")
|
||||
logger.error(f"预处理蓉城易购订单出错: {e}")
|
||||
return None
|
||||
|
||||
def process_rongcheng_yigou(self, src_path: str, progress_cb: Optional[Callable[[int, str], None]] = None) -> Optional[str]:
|
||||
"""
|
||||
兼容性方法：处理蓉城易购订单并执行后续转换
|
||||
"""
|
||||
cleaned_path = self.preprocess_rongcheng_yigou(src_path, progress_cb)
|
||||
if cleaned_path:
|
||||
return self.order_service.process_excel(cleaned_path, progress_cb=lambda p: progress_cb(60 + int(p*0.4), "生成采购单中...") if progress_cb else None)
|
||||
return None
|
||||
|
||||
@ -73,6 +73,77 @@ class TobaccoService:
|
||||
logger.warning(f"找到的烟草订单明细文件不是今天创建的: {latest_file}")
|
||||
return latest_file # 仍然返回最新文件，但给出警告
|
||||
|
||||
def preprocess_tobacco_order(self, file_path: str) -> Optional[str]:
|
||||
"""
|
||||
烟草订单预处理：按用户提供的 B, E, G, H 列索引进行强制清洗
|
||||
"""
|
||||
try:
|
||||
logger.info(f"执行烟草订单专用预处理: {file_path}")
|
||||
from app.core.utils.file_utils import smart_read_excel
|
||||
|
||||
# 烟草格式：Row 0是专卖证号，Row 1是表头，Row 2是合计，Row 3开始是数据
|
||||
df_raw = smart_read_excel(file_path, header=None)
|
||||
|
||||
if len(df_raw) <= 3:
|
||||
logger.error("烟草订单文件数据行数不足")
|
||||
return None
|
||||
|
||||
# 提取数据部分 (Row 3开始)
|
||||
df_data = df_raw.iloc[3:].reset_index(drop=True)
|
||||
|
||||
# 用户指定列映射：
|
||||
# A列 (Index 0) -> 商品名称
|
||||
# B列 (Index 1) -> 商品条码 (盒码)
|
||||
# E列 (Index 4) -> 批发价 (单价)
|
||||
# G列 (Index 6) -> 订单量 (数量)
|
||||
# H列 (Index 7) -> 金额
|
||||
|
||||
idx_map = {
|
||||
0: '商品名称',
|
||||
1: '商品条码',
|
||||
4: '批发价',
|
||||
6: '数量',
|
||||
7: '金额'
|
||||
}
|
||||
|
||||
available_indices = [i for i in idx_map.keys() if i < df_data.shape[1]]
|
||||
df = df_data.iloc[:, available_indices].copy()
|
||||
df.columns = [idx_map[i] for i in available_indices]
|
||||
|
||||
# 1. 过滤订单量不为0的数据
|
||||
df['数量'] = pd.to_numeric(df['数量'], errors='coerce').fillna(0)
|
||||
df = df[df['数量'] != 0].copy()
|
||||
|
||||
if df.empty:
|
||||
logger.warning("烟草订单无有效订单量记录")
|
||||
return None
|
||||
|
||||
# 2. 核心清洗逻辑：
|
||||
# 数量 = 订单量 * 10 (G列)
|
||||
# 单价 = 批发价 / 10 (E列)
|
||||
df['单价'] = pd.to_numeric(df['批发价'], errors='coerce').fillna(0) / 10
|
||||
df['数量'] = df['数量'] * 10
|
||||
|
||||
# 3. 校验金额 (H列)
|
||||
df['金额'] = pd.to_numeric(df['金额'], errors='coerce').fillna(0)
|
||||
|
||||
# 4. 只保留需要的列
|
||||
final_cols = ['商品条码', '商品名称', '数量', '单价', '金额']
|
||||
df_final = df[final_cols].copy()
|
||||
|
||||
# 保存预处理文件
|
||||
out_dir = os.path.dirname(file_path)
|
||||
base = os.path.basename(file_path)
|
||||
final_path = os.path.join(out_dir, f"预处理之后_{base}")
|
||||
df_final.to_excel(final_path, index=False)
|
||||
|
||||
logger.info(f"烟草订单预处理完成: {final_path}")
|
||||
return final_path
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"烟草订单预处理失败: {e}")
|
||||
return None
|
||||
|
||||
def process_tobacco_order(self, input_file=None):
|
||||
"""
|
||||
处理烟草订单
|
||||
|
||||
@ -2,6 +2,13 @@
|
||||
"window_size": "900x600",
|
||||
"theme_mode": "light",
|
||||
"recent_files": [
|
||||
"data/output\\微信图片_20251115212128_148_108.xlsx"
|
||||
"data/result\\采购单_预处理之后_订单明细20260330133908.xls",
|
||||
"data/output\\预处理之后_订单明细20260330133908.xlsx",
|
||||
"data/result\\采购单_预处理之后_订单1774849009841.xls",
|
||||
"data/output\\预处理之后_订单1774849009841.xlsx",
|
||||
"E:/2025Code/python/orc-order-v2/data/output/订单1774849009841.xlsx",
|
||||
"data/output\\订单1774849009841.xlsx",
|
||||
"E:/2025Code/python/orc-order-v2/data/output/订单明细20260330133908.xlsx",
|
||||
"data/output\\订单明细20260330133908.xlsx"
|
||||
]
|
||||
}
|
||||
@ -90,33 +90,35 @@ def run_pipeline(args):
|
||||
return "MAPPING_UPDATED"
|
||||
return None
|
||||
|
||||
# 2. 烟草公司处理
|
||||
# 2. 烟草公司处理 (显式指定)
|
||||
if args.tobacco:
|
||||
input_path = args.input or get_latest_file("data/output", [".xlsx", ".xls"])
|
||||
if not input_path:
|
||||
print("ERROR: No tobacco order file found.", file=sys.stderr)
|
||||
return None
|
||||
logger.info(f"开始处理烟草订单: {input_path}")
|
||||
logger.info(f"开始显式处理烟草订单: {input_path}")
|
||||
# 这里的 process_tobacco_order 会调用 preprocess 并生成银豹格式
|
||||
tobacco_service = TobaccoService(config_manager)
|
||||
final_excel = tobacco_service.process_tobacco_order(input_path)
|
||||
|
||||
# 3. 蓉城易购处理
|
||||
# 3. 蓉城易购处理 (显式指定)
|
||||
elif args.rongcheng:
|
||||
input_path = args.input or get_latest_file("data/output", [".xlsx", ".xls"])
|
||||
if not input_path:
|
||||
print("ERROR: No Rongcheng Yigou order file found.", file=sys.stderr)
|
||||
return None
|
||||
logger.info(f"开始处理蓉城易购订单: {input_path}")
|
||||
logger.info(f"开始显式处理蓉城易购订单: {input_path}")
|
||||
special_service = SpecialSuppliersService(config_manager)
|
||||
final_excel = special_service.process_rongcheng_yigou(input_path)
|
||||
|
||||
# 4. 普通 Excel 处理
|
||||
# 4. 普通 Excel 处理 (支持自动识别烟草/蓉城/杨碧月)
|
||||
elif args.excel:
|
||||
input_path = args.input or get_latest_file("data/input", [".xlsx", ".xls"])
|
||||
if not input_path:
|
||||
print("ERROR: No Excel file found in input.", file=sys.stderr)
|
||||
return None
|
||||
logger.info(f"开始处理 Excel: {input_path}")
|
||||
logger.info(f"开始处理 Excel (支持智能识别): {input_path}")
|
||||
# OrderService.process_excel 内部会自动调用 _check_special_preprocess
|
||||
final_excel = order_service.process_excel(input_path)
|
||||
|
||||
# 5. 图片 OCR 处理 (默认)
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@ -4512,3 +4512,63 @@
|
||||
2026-03-30 13:31:52,386 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 50.0, 单价: 42.0 -> 0.84, 单位: 件 -> 瓶
|
||||
2026-03-30 13:31:52,387 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 40.0, 单价: 92.0 -> 2.3, 单位: 件 -> 瓶
|
||||
2026-03-30 13:31:52,387 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 40.0, 单价: 120.0 -> 3.0, 单位: 件 -> 瓶
|
||||
2026-03-30 13:46:00,379 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 24.0, 单价: 93.6 -> 3.9, 单位: 件 -> 瓶
|
||||
2026-03-30 13:46:00,379 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 24.0, 单价: 93.6 -> 3.9, 单位: 件 -> 瓶
|
||||
2026-03-30 13:46:00,380 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 24.0, 单价: 93.6 -> 3.9, 单位: 件 -> 瓶
|
||||
2026-03-30 13:46:00,381 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 18.0, 单价: 70.2 -> 3.9000000000000004, 单位: 件 -> 瓶
|
||||
2026-03-30 13:46:00,381 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 45.0, 单价: 148.0 -> 3.2888888888888888, 单位: 件 -> 瓶
|
||||
2026-03-30 13:46:00,382 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 40.0, 单价: 142.0 -> 3.55, 单位: 件 -> 瓶
|
||||
2026-03-30 13:46:00,382 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 40.0, 单价: 142.0 -> 3.55, 单位: 件 -> 瓶
|
||||
2026-03-30 13:46:00,383 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 40.0, 单价: 85.0 -> 2.125, 单位: 件 -> 瓶
|
||||
2026-03-30 13:46:00,383 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 35.0, 单价: 133.0 -> 3.8, 单位: 件 -> 瓶
|
||||
2026-03-30 13:46:00,384 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 40.0, 单价: 60.0 -> 1.5, 单位: 件 -> 瓶
|
||||
2026-03-30 13:46:00,385 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 30.0, 单价: 96.0 -> 3.2, 单位: 件 -> 瓶
|
||||
2026-03-30 13:46:00,385 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 50.0, 单价: 39.0 -> 0.78, 单位: 件 -> 瓶
|
||||
2026-03-30 13:46:00,386 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 50.0, 单价: 42.0 -> 0.84, 单位: 件 -> 瓶
|
||||
2026-03-30 13:46:00,386 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 40.0, 单价: 92.0 -> 2.3, 单位: 件 -> 瓶
|
||||
2026-03-30 13:46:00,387 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 40.0, 单价: 120.0 -> 3.0, 单位: 件 -> 瓶
|
||||
2026-03-30 13:47:05,317 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 8.0, 单价: 20.7 -> 2.5875, 单位: 件 -> 瓶
|
||||
2026-03-30 13:48:28,609 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 8.0, 单价: 46.0 -> 5.75, 单位: 件 -> 瓶
|
||||
2026-03-30 13:48:28,610 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 8.0, 单价: 46.0 -> 5.75, 单位: 件 -> 瓶
|
||||
2026-03-30 13:48:28,611 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 15.0, 单价: 15.0 -> 1.0, 单位: 件 -> 瓶
|
||||
2026-03-30 13:48:28,633 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 10.0, 单价: 13.2 -> 1.3199999999999998, 单位: 件 -> 瓶
|
||||
2026-03-30 13:48:28,653 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 8.0, 单价: 115.0 -> 14.375, 单位: 件 -> 瓶
|
||||
2026-03-30 13:48:28,653 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 2.0 -> 40.0, 单价: 33.0 -> 1.65, 单位: 件 -> 瓶
|
||||
2026-03-30 13:48:28,655 - app.core.excel.handlers.unit_converter_handlers - INFO - 赠品6941760902583单位处理: 保持原样 数量: 2.0, 单价: 0, 单位: 6941760902583
|
||||
2026-03-30 14:00:52,487 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 8.0, 单价: 46.0 -> 5.75, 单位: 件 -> 瓶
|
||||
2026-03-30 14:00:52,488 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 8.0, 单价: 46.0 -> 5.75, 单位: 件 -> 瓶
|
||||
2026-03-30 14:00:52,489 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 15.0, 单价: 15.0 -> 1.0, 单位: 件 -> 瓶
|
||||
2026-03-30 14:00:52,509 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 10.0, 单价: 13.2 -> 1.3199999999999998, 单位: 件 -> 瓶
|
||||
2026-03-30 14:00:52,526 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 8.0, 单价: 115.0 -> 14.375, 单位: 件 -> 瓶
|
||||
2026-03-30 14:00:52,527 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 2.0 -> 40.0, 单价: 33.0 -> 1.65, 单位: 件 -> 瓶
|
||||
2026-03-30 14:00:52,528 - app.core.excel.handlers.unit_converter_handlers - INFO - 赠品6941760902583单位处理: 保持原样 数量: 2.0, 单价: 0, 单位: 6941760902583
|
||||
2026-03-30 14:01:20,405 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 8.0, 单价: 46.0 -> 5.75, 单位: 件 -> 瓶
|
||||
2026-03-30 14:01:20,405 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 8.0, 单价: 46.0 -> 5.75, 单位: 件 -> 瓶
|
||||
2026-03-30 14:01:20,406 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 15.0, 单价: 15.0 -> 1.0, 单位: 件 -> 瓶
|
||||
2026-03-30 14:01:20,423 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 10.0, 单价: 13.2 -> 1.3199999999999998, 单位: 件 -> 瓶
|
||||
2026-03-30 14:01:20,438 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 8.0, 单价: 115.0 -> 14.375, 单位: 件 -> 瓶
|
||||
2026-03-30 14:01:20,439 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 2.0 -> 40.0, 单价: 33.0 -> 1.65, 单位: 件 -> 瓶
|
||||
2026-03-30 14:01:20,440 - app.core.excel.handlers.unit_converter_handlers - INFO - 赠品6941760902583单位处理: 保持原样 数量: 2.0, 单价: 0, 单位: 6941760902583
|
||||
2026-03-30 14:06:58,412 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 8.0, 单价: 46.0 -> 5.75, 单位: 件 -> 瓶
|
||||
2026-03-30 14:06:58,413 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 8.0, 单价: 46.0 -> 5.75, 单位: 件 -> 瓶
|
||||
2026-03-30 14:06:58,415 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 15.0, 单价: 15.0 -> 1.0, 单位: 件 -> 瓶
|
||||
2026-03-30 14:06:58,440 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 10.0, 单价: 13.2 -> 1.3199999999999998, 单位: 件 -> 瓶
|
||||
2026-03-30 14:06:58,462 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 8.0, 单价: 115.0 -> 14.375, 单位: 件 -> 瓶
|
||||
2026-03-30 14:06:58,463 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 2.0 -> 40.0, 单价: 33.0 -> 1.65, 单位: 件 -> 瓶
|
||||
2026-03-30 14:06:58,465 - app.core.excel.handlers.unit_converter_handlers - INFO - 赠品6941760902583单位处理: 保持原样 数量: 2.0, 单价: 0, 单位: 6941760902583
|
||||
2026-03-30 14:23:18,470 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 8.0, 单价: 46.0 -> 5.75, 单位: 件 -> 瓶
|
||||
2026-03-30 14:23:18,471 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 8.0, 单价: 46.0 -> 5.75, 单位: 件 -> 瓶
|
||||
2026-03-30 14:23:18,473 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 15.0, 单价: 15.0 -> 1.0, 单位: 件 -> 瓶
|
||||
2026-03-30 14:23:18,499 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 10.0, 单价: 13.2 -> 1.3199999999999998, 单位: 件 -> 瓶
|
||||
2026-03-30 14:23:18,522 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 8.0, 单价: 115.0 -> 14.375, 单位: 件 -> 瓶
|
||||
2026-03-30 14:23:18,523 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 2.0 -> 40.0, 单价: 33.0 -> 1.65, 单位: 件 -> 瓶
|
||||
2026-03-30 14:23:18,525 - app.core.excel.handlers.unit_converter_handlers - INFO - 赠品6941760902583单位处理: 保持原样 数量: 2.0, 单价: 0, 单位: 6941760902583
|
||||
2026-03-30 14:24:03,070 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 8.0, 单价: 46.0 -> 5.75, 单位: 件 -> 瓶
|
||||
2026-03-30 14:24:03,071 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 8.0, 单价: 46.0 -> 5.75, 单位: 件 -> 瓶
|
||||
2026-03-30 14:24:03,072 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 15.0, 单价: 15.0 -> 1.0, 单位: 件 -> 瓶
|
||||
2026-03-30 14:24:03,098 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 10.0, 单价: 13.2 -> 1.3199999999999998, 单位: 件 -> 瓶
|
||||
2026-03-30 14:24:03,123 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 1.0 -> 8.0, 单价: 115.0 -> 14.375, 单位: 件 -> 瓶
|
||||
2026-03-30 14:24:03,124 - app.core.excel.handlers.unit_converter_handlers - INFO - 件单位处理: 数量: 2.0 -> 40.0, 单价: 33.0 -> 1.65, 单位: 件 -> 瓶
|
||||
2026-03-30 14:24:03,126 - app.core.excel.handlers.unit_converter_handlers - INFO - 赠品6941760902583单位处理: 保持原样 数量: 2.0, 单价: 0, 单位: 6941760902583
|
||||
2026-03-30 14:28:39,658 - app.core.excel.handlers.unit_converter_handlers - INFO - 赠品单位处理: 保持原样 数量: 2.0, 单价: 0, 单位:
|
||||
2026-03-30 14:41:12,237 - app.core.excel.handlers.unit_converter_handlers - INFO - 赠品单位处理: 保持原样 数量: 2.0, 单价: 0, 单位:
|
||||
|
||||
@ -279,3 +279,65 @@
|
||||
2026-03-30 13:31:51,947 - app.core.excel.merger - INFO - 初始化PurchaseOrderMerger完成，模板文件: E:\2025Code\python\orc-order-v2\templates\银豹-采购单模板.xls
|
||||
2026-03-30 13:31:51,951 - app.core.excel.merger - INFO - 使用输出目录: E:\2025Code\python\orc-order-v2\data\output
|
||||
2026-03-30 13:31:51,952 - app.core.excel.merger - INFO - 初始化PurchaseOrderMerger完成，模板文件: E:\2025Code\python\orc-order-v2\templates\银豹-采购单模板.xls
|
||||
2026-03-30 13:46:00,210 - app.core.excel.merger - INFO - 使用输出目录: E:\2025Code\python\orc-order-v2\data\output
|
||||
2026-03-30 13:46:00,211 - app.core.excel.merger - INFO - 初始化PurchaseOrderMerger完成，模板文件: E:\2025Code\python\orc-order-v2\templates\银豹-采购单模板.xls
|
||||
2026-03-30 13:46:00,229 - app.core.excel.merger - INFO - 使用输出目录: E:\2025Code\python\orc-order-v2\data\output
|
||||
2026-03-30 13:46:00,230 - app.core.excel.merger - INFO - 初始化PurchaseOrderMerger完成，模板文件: E:\2025Code\python\orc-order-v2\templates\银豹-采购单模板.xls
|
||||
2026-03-30 13:46:02,785 - app.core.excel.merger - INFO - 使用输出目录: E:\2025Code\python\orc-order-v2\data\output
|
||||
2026-03-30 13:46:02,785 - app.core.excel.merger - INFO - 初始化PurchaseOrderMerger完成，模板文件: E:\2025Code\python\orc-order-v2\templates\银豹-采购单模板.xls
|
||||
2026-03-30 13:47:05,233 - app.core.excel.merger - INFO - 使用输出目录: E:\2025Code\python\orc-order-v2\data\output
|
||||
2026-03-30 13:47:05,233 - app.core.excel.merger - INFO - 初始化PurchaseOrderMerger完成，模板文件: E:\2025Code\python\orc-order-v2\templates\银豹-采购单模板.xls
|
||||
2026-03-30 13:47:05,255 - app.core.excel.merger - INFO - 使用输出目录: E:\2025Code\python\orc-order-v2\data\output
|
||||
2026-03-30 13:47:05,256 - app.core.excel.merger - INFO - 初始化PurchaseOrderMerger完成，模板文件: E:\2025Code\python\orc-order-v2\templates\银豹-采购单模板.xls
|
||||
2026-03-30 13:47:06,654 - app.core.excel.merger - INFO - 使用输出目录: E:\2025Code\python\orc-order-v2\data\output
|
||||
2026-03-30 13:47:06,654 - app.core.excel.merger - INFO - 初始化PurchaseOrderMerger完成，模板文件: E:\2025Code\python\orc-order-v2\templates\银豹-采购单模板.xls
|
||||
2026-03-30 13:48:28,519 - app.core.excel.merger - INFO - 使用输出目录: E:\2025Code\python\orc-order-v2\data\output
|
||||
2026-03-30 13:48:28,519 - app.core.excel.merger - INFO - 初始化PurchaseOrderMerger完成，模板文件: E:\2025Code\python\orc-order-v2\templates\银豹-采购单模板.xls
|
||||
2026-03-30 13:48:28,525 - app.core.excel.merger - INFO - 使用输出目录: E:\2025Code\python\orc-order-v2\data\output
|
||||
2026-03-30 13:48:28,525 - app.core.excel.merger - INFO - 初始化PurchaseOrderMerger完成，模板文件: E:\2025Code\python\orc-order-v2\templates\银豹-采购单模板.xls
|
||||
2026-03-30 13:48:30,802 - app.core.excel.merger - INFO - 使用输出目录: E:\2025Code\python\orc-order-v2\data\output
|
||||
2026-03-30 13:48:30,802 - app.core.excel.merger - INFO - 初始化PurchaseOrderMerger完成，模板文件: E:\2025Code\python\orc-order-v2\templates\银豹-采购单模板.xls
|
||||
2026-03-30 13:51:44,156 - app.core.excel.merger - INFO - 使用输出目录: E:\2025Code\python\orc-order-v2\data\output
|
||||
2026-03-30 13:51:44,156 - app.core.excel.merger - INFO - 初始化PurchaseOrderMerger完成，模板文件: E:\2025Code\python\orc-order-v2\templates\银豹-采购单模板.xls
|
||||
2026-03-30 13:51:44,170 - app.core.excel.merger - INFO - 使用输出目录: E:\2025Code\python\orc-order-v2\data\output
|
||||
2026-03-30 13:51:44,171 - app.core.excel.merger - INFO - 初始化PurchaseOrderMerger完成，模板文件: E:\2025Code\python\orc-order-v2\templates\银豹-采购单模板.xls
|
||||
2026-03-30 13:51:46,072 - app.core.excel.merger - INFO - 使用输出目录: E:\2025Code\python\orc-order-v2\data\output
|
||||
2026-03-30 13:51:46,072 - app.core.excel.merger - INFO - 初始化PurchaseOrderMerger完成，模板文件: E:\2025Code\python\orc-order-v2\templates\银豹-采购单模板.xls
|
||||
2026-03-30 14:00:52,374 - app.core.excel.merger - INFO - 使用输出目录: E:\2025Code\python\orc-order-v2\data\output
|
||||
2026-03-30 14:00:52,374 - app.core.excel.merger - INFO - 初始化PurchaseOrderMerger完成，模板文件: E:\2025Code\python\orc-order-v2\templates\银豹-采购单模板.xls
|
||||
2026-03-30 14:00:52,392 - app.core.excel.merger - INFO - 使用输出目录: E:\2025Code\python\orc-order-v2\data\output
|
||||
2026-03-30 14:00:52,392 - app.core.excel.merger - INFO - 初始化PurchaseOrderMerger完成，模板文件: E:\2025Code\python\orc-order-v2\templates\银豹-采购单模板.xls
|
||||
2026-03-30 14:01:20,295 - app.core.excel.merger - INFO - 使用输出目录: E:\2025Code\python\orc-order-v2\data\output
|
||||
2026-03-30 14:01:20,295 - app.core.excel.merger - INFO - 初始化PurchaseOrderMerger完成，模板文件: E:\2025Code\python\orc-order-v2\templates\银豹-采购单模板.xls
|
||||
2026-03-30 14:01:20,307 - app.core.excel.merger - INFO - 使用输出目录: E:\2025Code\python\orc-order-v2\data\output
|
||||
2026-03-30 14:01:20,308 - app.core.excel.merger - INFO - 初始化PurchaseOrderMerger完成，模板文件: E:\2025Code\python\orc-order-v2\templates\银豹-采购单模板.xls
|
||||
2026-03-30 14:01:24,376 - app.core.excel.merger - INFO - 使用输出目录: E:\2025Code\python\orc-order-v2\data\output
|
||||
2026-03-30 14:01:24,376 - app.core.excel.merger - INFO - 初始化PurchaseOrderMerger完成，模板文件: E:\2025Code\python\orc-order-v2\templates\银豹-采购单模板.xls
|
||||
2026-03-30 14:06:58,242 - app.core.excel.merger - INFO - 使用输出目录: E:\2025Code\python\orc-order-v2\data\output
|
||||
2026-03-30 14:06:58,243 - app.core.excel.merger - INFO - 初始化PurchaseOrderMerger完成，模板文件: E:\2025Code\python\orc-order-v2\templates\银豹-采购单模板.xls
|
||||
2026-03-30 14:07:00,055 - app.core.excel.merger - INFO - 使用输出目录: E:\2025Code\python\orc-order-v2\data\output
|
||||
2026-03-30 14:07:00,055 - app.core.excel.merger - INFO - 初始化PurchaseOrderMerger完成，模板文件: E:\2025Code\python\orc-order-v2\templates\银豹-采购单模板.xls
|
||||
2026-03-30 14:14:46,832 - app.core.excel.merger - INFO - 使用输出目录: E:\2025Code\python\orc-order-v2\data\output
|
||||
2026-03-30 14:14:46,832 - app.core.excel.merger - INFO - 初始化PurchaseOrderMerger完成，模板文件: E:\2025Code\python\orc-order-v2\templates\银豹-采购单模板.xls
|
||||
2026-03-30 14:14:47,891 - app.core.excel.merger - INFO - 使用输出目录: E:\2025Code\python\orc-order-v2\data\output
|
||||
2026-03-30 14:14:47,891 - app.core.excel.merger - INFO - 初始化PurchaseOrderMerger完成，模板文件: E:\2025Code\python\orc-order-v2\templates\银豹-采购单模板.xls
|
||||
2026-03-30 14:23:18,310 - app.core.excel.merger - INFO - 使用输出目录: E:\2025Code\python\orc-order-v2\data\output
|
||||
2026-03-30 14:23:18,310 - app.core.excel.merger - INFO - 初始化PurchaseOrderMerger完成，模板文件: E:\2025Code\python\orc-order-v2\templates\银豹-采购单模板.xls
|
||||
2026-03-30 14:23:20,043 - app.core.excel.merger - INFO - 使用输出目录: E:\2025Code\python\orc-order-v2\data\output
|
||||
2026-03-30 14:23:20,043 - app.core.excel.merger - INFO - 初始化PurchaseOrderMerger完成，模板文件: E:\2025Code\python\orc-order-v2\templates\银豹-采购单模板.xls
|
||||
2026-03-30 14:24:02,882 - app.core.excel.merger - INFO - 使用输出目录: E:\2025Code\python\orc-order-v2\data\output
|
||||
2026-03-30 14:24:02,883 - app.core.excel.merger - INFO - 初始化PurchaseOrderMerger完成，模板文件: E:\2025Code\python\orc-order-v2\templates\银豹-采购单模板.xls
|
||||
2026-03-30 14:24:04,318 - app.core.excel.merger - INFO - 使用输出目录: E:\2025Code\python\orc-order-v2\data\output
|
||||
2026-03-30 14:24:04,318 - app.core.excel.merger - INFO - 初始化PurchaseOrderMerger完成，模板文件: E:\2025Code\python\orc-order-v2\templates\银豹-采购单模板.xls
|
||||
2026-03-30 14:28:39,039 - app.core.excel.merger - INFO - 使用输出目录: E:\2025Code\python\orc-order-v2\data\output
|
||||
2026-03-30 14:28:39,040 - app.core.excel.merger - INFO - 初始化PurchaseOrderMerger完成，模板文件: E:\2025Code\python\orc-order-v2\templates\银豹-采购单模板.xls
|
||||
2026-03-30 14:28:39,737 - app.core.excel.merger - INFO - 使用输出目录: E:\2025Code\python\orc-order-v2\data\output
|
||||
2026-03-30 14:28:39,738 - app.core.excel.merger - INFO - 初始化PurchaseOrderMerger完成，模板文件: E:\2025Code\python\orc-order-v2\templates\银豹-采购单模板.xls
|
||||
2026-03-30 14:41:11,949 - app.core.excel.merger - INFO - 使用输出目录: E:\2025Code\python\orc-order-v2\data\output
|
||||
2026-03-30 14:41:11,949 - app.core.excel.merger - INFO - 初始化PurchaseOrderMerger完成，模板文件: E:\2025Code\python\orc-order-v2\templates\银豹-采购单模板.xls
|
||||
2026-03-30 14:41:33,388 - app.core.excel.merger - INFO - 使用输出目录: E:\2025Code\python\orc-order-v2\data\output
|
||||
2026-03-30 14:41:33,388 - app.core.excel.merger - INFO - 初始化PurchaseOrderMerger完成，模板文件: E:\2025Code\python\orc-order-v2\templates\银豹-采购单模板.xls
|
||||
2026-03-30 14:41:47,796 - app.core.excel.merger - INFO - 使用输出目录: E:\2025Code\python\orc-order-v2\data\output
|
||||
2026-03-30 14:41:47,796 - app.core.excel.merger - INFO - 初始化PurchaseOrderMerger完成，模板文件: E:\2025Code\python\orc-order-v2\templates\银豹-采购单模板.xls
|
||||
2026-03-30 14:41:49,673 - app.core.excel.merger - INFO - 使用输出目录: E:\2025Code\python\orc-order-v2\data\output
|
||||
2026-03-30 14:41:49,673 - app.core.excel.merger - INFO - 初始化PurchaseOrderMerger完成，模板文件: E:\2025Code\python\orc-order-v2\templates\银豹-采购单模板.xls
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
@ -729,3 +729,89 @@
|
||||
2026-03-30 13:31:51,952 - app.services.order_service - INFO - OrderService初始化完成
|
||||
2026-03-30 13:31:52,230 - app.services.order_service - INFO - 识别到杨碧月订单，执行预处理...
|
||||
2026-03-30 13:31:52,367 - app.services.order_service - INFO - 检测到特殊供应商，已生成预处理文件: E:\2025Code\python\orc-order-v2\data\output\预处理之后.xlsx
|
||||
2026-03-30 13:46:00,207 - app.services.order_service - INFO - 初始化OrderService
|
||||
2026-03-30 13:46:00,211 - app.services.order_service - INFO - OrderService初始化完成
|
||||
2026-03-30 13:46:00,225 - app.services.order_service - INFO - OrderService开始处理指定Excel文件: E:/2025Code/python/orc-order-v2/data/output/原始数据.xlsx
|
||||
2026-03-30 13:46:00,227 - app.services.order_service - INFO - 初始化OrderService
|
||||
2026-03-30 13:46:00,230 - app.services.order_service - INFO - OrderService初始化完成
|
||||
2026-03-30 13:46:00,255 - app.services.order_service - INFO - 识别到杨碧月订单，执行通用预处理...
|
||||
2026-03-30 13:46:00,355 - app.services.order_service - INFO - 检测到特殊供应商，已生成预处理文件: E:/2025Code/python/orc-order-v2/data/output\预处理之后.xlsx
|
||||
2026-03-30 13:46:02,782 - app.services.order_service - INFO - 初始化OrderService
|
||||
2026-03-30 13:46:02,785 - app.services.order_service - INFO - OrderService初始化完成
|
||||
2026-03-30 13:47:05,230 - app.services.order_service - INFO - 初始化OrderService
|
||||
2026-03-30 13:47:05,233 - app.services.order_service - INFO - OrderService初始化完成
|
||||
2026-03-30 13:47:05,252 - app.services.order_service - INFO - OrderService开始处理指定Excel文件: E:/2025Code/python/orc-order-v2/data/output/订单1765513867817.xlsx
|
||||
2026-03-30 13:47:05,253 - app.services.order_service - INFO - 初始化OrderService
|
||||
2026-03-30 13:47:05,256 - app.services.order_service - INFO - OrderService初始化完成
|
||||
2026-03-30 13:47:06,651 - app.services.order_service - INFO - 初始化OrderService
|
||||
2026-03-30 13:47:06,655 - app.services.order_service - INFO - OrderService初始化完成
|
||||
2026-03-30 13:48:28,517 - app.services.order_service - INFO - 初始化OrderService
|
||||
2026-03-30 13:48:28,520 - app.services.order_service - INFO - OrderService初始化完成
|
||||
2026-03-30 13:48:28,522 - app.services.order_service - INFO - OrderService开始处理指定Excel文件: E:/2025Code/python/orc-order-v2/data/output/订单1774849009841.xlsx
|
||||
2026-03-30 13:48:28,522 - app.services.order_service - INFO - 初始化OrderService
|
||||
2026-03-30 13:48:28,525 - app.services.order_service - INFO - OrderService初始化完成
|
||||
2026-03-30 13:48:30,799 - app.services.order_service - INFO - 初始化OrderService
|
||||
2026-03-30 13:48:30,802 - app.services.order_service - INFO - OrderService初始化完成
|
||||
2026-03-30 13:51:44,153 - app.services.order_service - INFO - 初始化OrderService
|
||||
2026-03-30 13:51:44,156 - app.services.order_service - INFO - OrderService初始化完成
|
||||
2026-03-30 13:51:44,167 - app.services.order_service - INFO - OrderService开始处理指定Excel文件: E:/2025Code/python/orc-order-v2/data/output/订单明细20260330133908.xlsx
|
||||
2026-03-30 13:51:44,168 - app.services.order_service - INFO - 初始化OrderService
|
||||
2026-03-30 13:51:44,171 - app.services.order_service - INFO - OrderService初始化完成
|
||||
2026-03-30 13:51:46,069 - app.services.order_service - INFO - 初始化OrderService
|
||||
2026-03-30 13:51:46,072 - app.services.order_service - INFO - OrderService初始化完成
|
||||
2026-03-30 14:00:52,371 - app.services.order_service - INFO - 初始化OrderService
|
||||
2026-03-30 14:00:52,375 - app.services.order_service - INFO - OrderService初始化完成
|
||||
2026-03-30 14:00:52,389 - app.services.order_service - INFO - OrderService开始处理指定Excel文件: E:/2025Code/python/orc-order-v2/data/output/订单1774849009841.xlsx
|
||||
2026-03-30 14:00:52,389 - app.services.order_service - INFO - 初始化OrderService
|
||||
2026-03-30 14:00:52,393 - app.services.order_service - INFO - OrderService初始化完成
|
||||
2026-03-30 14:01:20,292 - app.services.order_service - INFO - 初始化OrderService
|
||||
2026-03-30 14:01:20,295 - app.services.order_service - INFO - OrderService初始化完成
|
||||
2026-03-30 14:01:20,304 - app.services.order_service - INFO - OrderService开始处理指定Excel文件: E:/2025Code/python/orc-order-v2/data/output/订单1774849009841.xlsx
|
||||
2026-03-30 14:01:20,305 - app.services.order_service - INFO - 初始化OrderService
|
||||
2026-03-30 14:01:20,308 - app.services.order_service - INFO - OrderService初始化完成
|
||||
2026-03-30 14:01:24,373 - app.services.order_service - INFO - 初始化OrderService
|
||||
2026-03-30 14:01:24,376 - app.services.order_service - INFO - OrderService初始化完成
|
||||
2026-03-30 14:06:58,240 - app.services.order_service - INFO - 初始化OrderService
|
||||
2026-03-30 14:06:58,243 - app.services.order_service - INFO - OrderService初始化完成
|
||||
2026-03-30 14:06:58,248 - app.services.order_service - INFO - OrderService开始处理指定Excel文件: E:/2025Code/python/orc-order-v2/data/output/订单1774849009841.xlsx
|
||||
2026-03-30 14:07:00,053 - app.services.order_service - INFO - 初始化OrderService
|
||||
2026-03-30 14:07:00,055 - app.services.order_service - INFO - OrderService初始化完成
|
||||
2026-03-30 14:14:46,829 - app.services.order_service - INFO - 初始化OrderService
|
||||
2026-03-30 14:14:46,832 - app.services.order_service - INFO - OrderService初始化完成
|
||||
2026-03-30 14:14:46,844 - app.services.order_service - INFO - OrderService开始处理指定Excel文件: E:/2025Code/python/orc-order-v2/data/output/订单明细20260330133908.xlsx
|
||||
2026-03-30 14:14:47,889 - app.services.order_service - INFO - 初始化OrderService
|
||||
2026-03-30 14:14:47,891 - app.services.order_service - INFO - OrderService初始化完成
|
||||
2026-03-30 14:23:18,308 - app.services.order_service - INFO - 初始化OrderService
|
||||
2026-03-30 14:23:18,311 - app.services.order_service - INFO - OrderService初始化完成
|
||||
2026-03-30 14:23:18,320 - app.services.order_service - INFO - OrderService开始处理指定Excel文件: E:/2025Code/python/orc-order-v2/data/output/订单1774849009841.xlsx
|
||||
2026-03-30 14:23:20,041 - app.services.order_service - INFO - 初始化OrderService
|
||||
2026-03-30 14:23:20,043 - app.services.order_service - INFO - OrderService初始化完成
|
||||
2026-03-30 14:24:02,880 - app.services.order_service - INFO - 初始化OrderService
|
||||
2026-03-30 14:24:02,883 - app.services.order_service - INFO - OrderService初始化完成
|
||||
2026-03-30 14:24:02,890 - app.services.order_service - INFO - OrderService开始处理指定Excel文件: E:/2025Code/python/orc-order-v2/data/output/订单1774849009841.xlsx
|
||||
2026-03-30 14:24:04,316 - app.services.order_service - INFO - 初始化OrderService
|
||||
2026-03-30 14:24:04,318 - app.services.order_service - INFO - OrderService初始化完成
|
||||
2026-03-30 14:28:39,036 - app.services.order_service - INFO - 初始化OrderService
|
||||
2026-03-30 14:28:39,040 - app.services.order_service - INFO - OrderService初始化完成
|
||||
2026-03-30 14:28:39,040 - app.services.order_service - INFO - OrderService开始处理指定Excel文件: data/output/订单1774849009841.xlsx
|
||||
2026-03-30 14:28:39,333 - app.services.order_service - INFO - 识别到蓉城易购订单，执行专用预处理...
|
||||
2026-03-30 14:28:39,514 - app.services.order_service - INFO - 检测到特殊供应商，已生成预处理文件: data/output\预处理之后_订单1774849009841.xlsx
|
||||
2026-03-30 14:28:39,734 - app.services.order_service - INFO - 初始化OrderService
|
||||
2026-03-30 14:28:39,738 - app.services.order_service - INFO - OrderService初始化完成
|
||||
2026-03-30 14:28:39,738 - app.services.order_service - INFO - OrderService开始处理指定Excel文件: data/output/订单明细20260330133908.xlsx
|
||||
2026-03-30 14:28:39,746 - app.services.order_service - INFO - 识别到烟草公司订单，执行专用预处理...
|
||||
2026-03-30 14:28:39,828 - app.services.order_service - INFO - 检测到特殊供应商，已生成预处理文件: data/output\预处理之后_订单明细20260330133908.xlsx
|
||||
2026-03-30 14:41:11,945 - app.services.order_service - INFO - 初始化OrderService
|
||||
2026-03-30 14:41:11,949 - app.services.order_service - INFO - OrderService初始化完成
|
||||
2026-03-30 14:41:11,957 - app.services.order_service - INFO - OrderService开始处理指定Excel文件: E:/2025Code/python/orc-order-v2/data/output/订单1774849009841.xlsx
|
||||
2026-03-30 14:41:11,994 - app.services.order_service - INFO - 识别到蓉城易购订单，执行专用预处理...
|
||||
2026-03-30 14:41:12,128 - app.services.order_service - INFO - 检测到特殊供应商，已生成预处理文件: E:/2025Code/python/orc-order-v2/data/output\预处理之后_订单1774849009841.xlsx
|
||||
2026-03-30 14:41:33,385 - app.services.order_service - INFO - 初始化OrderService
|
||||
2026-03-30 14:41:33,388 - app.services.order_service - INFO - OrderService初始化完成
|
||||
2026-03-30 14:41:47,793 - app.services.order_service - INFO - 初始化OrderService
|
||||
2026-03-30 14:41:47,796 - app.services.order_service - INFO - OrderService初始化完成
|
||||
2026-03-30 14:41:47,810 - app.services.order_service - INFO - OrderService开始处理指定Excel文件: E:/2025Code/python/orc-order-v2/data/output/订单明细20260330133908.xlsx
|
||||
2026-03-30 14:41:47,819 - app.services.order_service - INFO - 识别到烟草公司订单，执行专用预处理...
|
||||
2026-03-30 14:41:47,865 - app.services.order_service - INFO - 检测到特殊供应商，已生成预处理文件: E:/2025Code/python/orc-order-v2/data/output\预处理之后_订单明细20260330133908.xlsx
|
||||
2026-03-30 14:41:49,670 - app.services.order_service - INFO - 初始化OrderService
|
||||
2026-03-30 14:41:49,674 - app.services.order_service - INFO - OrderService初始化完成
|
||||
|
||||
@ -43,3 +43,7 @@
|
||||
2025-11-15 15:54:07,783 - app.services.tobacco_service - INFO - 烟草公司订单处理成功，订单时间: 2025-11-10, 总金额: 12226.22, 处理条目: 34
|
||||
2025-11-15 15:54:07,796 - app.services.tobacco_service - INFO - 采购单已生成: data/result\银豹采购单_烟草公司.xls
|
||||
2025-11-15 15:54:07,930 - app.services.tobacco_service - INFO - 烟草公司订单处理成功，订单时间: 2025-11-10, 总金额: 12226.22, 处理条目: 34
|
||||
2026-03-30 14:28:39,783 - app.services.tobacco_service - INFO - 执行烟草订单专用预处理: data/output/订单明细20260330133908.xlsx
|
||||
2026-03-30 14:28:39,828 - app.services.tobacco_service - INFO - 烟草订单预处理完成: data/output\预处理之后_订单明细20260330133908.xlsx
|
||||
2026-03-30 14:41:47,819 - app.services.tobacco_service - INFO - 执行烟草订单专用预处理: E:/2025Code/python/orc-order-v2/data/output/订单明细20260330133908.xlsx
|
||||
2026-03-30 14:41:47,865 - app.services.tobacco_service - INFO - 烟草订单预处理完成: E:/2025Code/python/orc-order-v2/data/output\预处理之后_订单明细20260330133908.xlsx
|
||||
|
||||
Loading…
Reference in New Issue
Block a user