From c21e3189e3c8c578ed89508a027d2815ef819569 Mon Sep 17 00:00:00 2001 From: yangfan Date: Fri, 17 Oct 2025 13:40:44 +0800 Subject: [PATCH] First Commit --- .claude/settings.local.json | 11 + AccountingEntries.xlsx | Bin 0 -> 43812 bytes CHANGELOG.md | 79 + CLAUDE.md | 236 ++ User.md | 360 +++ ...enerate_accounting_entries.cpython-312.pyc | Bin 0 -> 9591 bytes analyze_excel.py | 43 + data/data.xlsx | Bin 0 -> 155835 bytes data/~$data.xlsx | Bin 0 -> 165 bytes exchange_rate.txt | 1 + generate_accounting_entries.py | 308 ++ process_excel.py | 214 ++ res.json | 2865 +++++++++++++++++ task.md | 355 ++ temp.png | Bin 0 -> 42681 bytes venv/pyvenv.cfg | 5 + 16 files changed, 4477 insertions(+) create mode 100644 .claude/settings.local.json create mode 100644 AccountingEntries.xlsx create mode 100644 CHANGELOG.md create mode 100644 CLAUDE.md create mode 100644 User.md create mode 100644 __pycache__/generate_accounting_entries.cpython-312.pyc create mode 100644 analyze_excel.py create mode 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zb|>EFU4cl5-om~{GtY=jQ#sAb>E7BOLZ%0c2a*8-PCo*H@BkroB<$^6Ozm6@RNWm+ zo%QbRt2}-LurKsJgM!^RR!{jIMEBSuS$}qb1AFxHHnWZFUF>7#YveyvVuW1#Sn@|wOwCRMoqdwJ4&qs1wV^bp ztgEV*?|c&?gKb#xKFju7=GMaRSilVpk(#%lzp=&N{%{_xARmdE--qOz0g)N&CEz}a zHN0N>X7@U_S@y?wTQr>6dIX=XOq-q3hyn4~0bPL~fhPO2jDbsz7{Ar|l`d)XU4J3; zR(+*9am!}B(IIum%DFl8n5ry@?^D7ET@|Vnfm2q1gU1K`yADhDzmQD?wD=7;v4QiS zk1wEM5Xi*dSlP+m!I{I*!Qo!9e^Q4IpL{z2?i&K`#`%X7Xno 程序默认汇率 +- **使用方法**: + ```bash + echo "7.25" > exchange_rate.txt + python3 generate_accounting_entries.py + ``` + +#### 2. 智能汇率验证 +- **范围检查**: 汇率必须在 0.1 ~ 100 范围内 +- **格式验证**: 自动检测非数字格式 +- **错误处理**: 异常情况自动回退到默认汇率 (7.1072) + +#### 3. 详细日志输出 +程序运行时会显示汇率来源: +- 从文件读取: `从 exchange_rate.txt 读取汇率: 7.25` +- 文件不存在: `汇率文件 exchange_rate.txt 不存在,使用默认汇率: 7.1072` +- 格式错误: `汇率文件 exchange_rate.txt 中的值无法解析,使用默认汇率: 7.1072` +- 值不合理: `汇率文件中的值 150.0 不合理,使用默认汇率: 7.1072` + +### 代码修改 + +**文件**: `generate_accounting_entries.py` + +1. **新增导入**: + - `import os` - 用于文件检查 + +2. **新增函数**: + - `load_exchange_rate()` (line 16-52) - 汇率加载和验证逻辑 + +3. **修改函数签名**: + - `create_accounting_entries(data, exchange_rate)` - 添加汇率参数 + +4. **修改 main 函数**: + - 调用 `load_exchange_rate()` 获取汇率 + - 传递汇率参数到 `create_accounting_entries()` + +### 文档更新 + +1. **User.md**: + - 更新"汇率配置"章节,添加文件方法说明 + - 更新 Q4 常见问题 + - 更新文件说明表,添加 `exchange_rate.txt` + - 添加 v1.2 更新记录 + +2. **CLAUDE.md**: + - 更新"Exchange Rate"配置章节 + - 添加详细的错误处理说明和示例 + - 更新版本历史 + +### 测试结果 + +✅ 正常汇率文件 (7.25): 成功读取 +✅ 文件不存在: 使用默认汇率 +✅ 非数字格式 (abc): 使用默认汇率 +✅ 不合理值 (150): 使用默认汇率 + +### 向后兼容性 + +- ✅ 完全向后兼容 +- ✅ 不影响现有功能 +- ✅ 无 `exchange_rate.txt` 文件时使用程序默认值 + +### 文件清单 + +| 文件 | 状态 | 说明 | +|------|------|------| +| `generate_accounting_entries.py` | 已修改 | 添加汇率文件读取功能 | +| `exchange_rate.txt` | 新增 | 汇率配置文件 (可选) | +| `User.md` | 已更新 | 用户文档 | +| `CLAUDE.md` | 已更新 | 开发文档 | +| `CHANGELOG.md` | 新增 | 本文件 | diff --git a/CLAUDE.md b/CLAUDE.md new file mode 100644 index 0000000..e7e28e8 --- /dev/null +++ b/CLAUDE.md @@ -0,0 +1,236 @@ +# CLAUDE.md + +This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository. + +## Project Overview + +财务Excel数据处理系统 (Financial Excel Data Processing System) - A Python-based automation system for processing financial Excel data, extracting payment information, and generating standardized accounting entries with data validation and error marking capabilities. + +**Language**: Chinese (中文) - All documentation, comments, and output are in Chinese. + +## Development Commands + +### Setup and Installation + +```bash +# Install dependencies (system-wide) +pip install openpyxl --break-system-packages + +# OR use virtual environment (recommended) +python3 -m venv venv +source venv/bin/activate # Linux/Mac +# venv\Scripts\activate # Windows +pip install openpyxl +``` + +### Run the Processing Pipeline + +```bash +# Step 1: Extract data from Excel to JSON +python3 process_excel.py + +# Step 2: Generate accounting entries Excel +python3 generate_accounting_entries.py + +# Optional: Analyze Excel structure (debugging tool) +python3 analyze_excel.py +``` + +### Verify Installation + +```bash +python3 -c "import openpyxl; print(openpyxl.__version__)" +``` + +## Architecture and Data Flow + +### Processing Pipeline + +``` +data/data.xlsx (Raw financial data) + ↓ +[process_excel.py] - Extract payment records + ↓ +res.json (Intermediate JSON data) + ↓ +[generate_accounting_entries.py] - Generate accounting entries + ↓ +AccountingEntries.xlsx (Final accounting entry table) +``` + +### Key Components + +1. **`process_excel.py`** - Excel Data Extraction Engine + - Handles merged and non-merged cells in column F (ReceivedAmount) + - Extracts orders from rows within merged cell ranges + - Validates amounts: `ReceivedAmount + HandlingFee ≈ Sum(Order[].Amount)` (tolerance: 0.01) + - Uses `data_only=True` to read formula results from column O + +2. **`generate_accounting_entries.py`** - Accounting Entry Generator + - Creates debit/credit entries following Chinese accounting standards + - Merges cells for same ReceivedAmount groups + - Marks validation failures with pink background (#FAD1D4) + - Applies fixed exchange rate to currency conversions + +3. **`analyze_excel.py`** - Structure Analysis Utility + - Debugging tool to inspect merged cells + - Preview data structure + +### Data Structures + +#### res.json Schema +```json +[ + { + "ReceivedAmount": 12125, // Column F - supports merged cells + "HandlingFee": 25, // Column G - null becomes 0 + "Order": [ + { + "OrderNum": "XLRQD300T25", // Column H + "Amount": 550, // Column I + "AccountName": "24台湾长荣航运" // Column O - formula result + } + ], + "checkRes": true // Validation: amount match within 0.01 + } +] +``` + +#### Accounting Entry Rules + +**For each ReceivedAmount record:** + +1. **Debit Entry (到账金额)** - 1 record per ReceivedAmount + - Account: `1002.02` - 银行存款 - 中行USD + - Currency: 美元 (USD) + - Amount: `ReceivedAmount × EXCHANGE_RATE` + +2. **Debit Entry (手续费)** - Only if HandlingFee > 0 + - Account: `5603.03` - 财务费用-手续费 + - Currency: 人民币 (RMB) + - Amount: `HandlingFee × EXCHANGE_RATE` + +3. **Credit Entries (订单明细)** - 1 record per Order + - Account: `1122` - 应收账款 + - Currency: 美元 (USD) + - Amount: `Order.Amount × EXCHANGE_RATE` + - **Display Order.Amount in "应收账款" column** + - Skip orders where Amount is null + +### Special Processing Logic + +#### Merged Cell Handling (process_excel.py:33-69) +- `get_f_column_ranges()`: Identifies all data ranges in column F +- Handles mixed scenarios: merged and non-merged cells +- Non-merged cells are treated as single-row ranges +- Merged cell value read from top-left corner (min_row, min_col) + +#### Validation and Error Marking +- **checkRes calculation**: `abs((ReceivedAmount + HandlingFee) - Sum(Order[].Amount)) < 0.01` +- **Error marking**: Pink background (#FAD1D4) applied to all entries where checkRes = false +- Background color applied **before** cell merging to ensure visibility + +#### Cell Merging Strategy (generate_accounting_entries.py:178-206) +- Groups entries by `(ReceivedAmount, HandlingFee)` key +- Merges "到账金额" (column A) and "手续费" (column B) for consecutive rows +- Centers content vertically and horizontally +- Re-applies background color after merging + +## Configuration + +### Exchange Rate + +**Priority**: Program reads exchange rate in the following order: + +1. **From `exchange_rate.txt` file** (if exists in current directory) + - Create a text file named `exchange_rate.txt` containing only the exchange rate value + - Example: `echo "7.25" > exchange_rate.txt` + - Validation: Rate must be between 0.1 and 100, otherwise falls back to default + +2. **From default constant** (if file doesn't exist or contains invalid value) + - Location: `generate_accounting_entries.py:13` + - Default value: `7.1072` + +**Error Handling** (generate_accounting_entries.py:16-52): +- File not found → Use default rate +- Invalid format (non-numeric) → Use default rate +- Unreasonable value (<0.1 or >100) → Use default rate +- Any other error → Use default rate + +**Examples**: +```bash +# Set custom exchange rate +echo "7.25" > exchange_rate.txt + +# Program will display which rate is being used +python3 generate_accounting_entries.py +# Output: "从 exchange_rate.txt 读取汇率: 7.25" + +# Remove file to use default +rm exchange_rate.txt +python3 generate_accounting_entries.py +# Output: "汇率文件 exchange_rate.txt 不存在,使用默认汇率: 7.1072" +``` + +### Column Mapping (data/data.xlsx) +| Field | Column | Notes | +|-------|--------|-------| +| ReceivedAmount | F (6) | Supports merged cells | +| HandlingFee | G (7) | Null → 0 | +| OrderNum | H (8) | Skip if empty | +| Amount | I (9) | Null orders skipped | +| AccountName | O (15) | Formula result (data_only=True) | + +### Excel Output Format +**Column widths**: `[12, 10, 18, 12, 25, 25, 8, 15, 25, 25, 10, 10, 12, 15]` + +**Headers**: +``` +到账金额, 手续费, 订单号, 应收账款, 金蝶名称, +摘要, 借/贷, 科目代码(*), 科目名称(*), +核算项目, 币别, 汇率, 原币金额, 金额 +``` + +**Header style**: Bold, blue background (#CCE5FF), centered + +## Important Implementation Notes + +1. **Data starts from row 2** (row 1 is header) + +2. **Formula handling**: Always use `data_only=True` when loading workbook to read calculated values + +3. **Order filtering**: Skip rows where OrderNum is None or empty string + +4. **Amount precision**: All calculations rounded to 2 decimal places + +5. **UTF-8 encoding**: All files use UTF-8 encoding + +6. **Error handling**: + - File not found: Exit with error message + - Invalid sheet: Exit with error message + - Invalid data: Log and skip row + - checkRes=false: Mark but continue processing + +7. **Performance**: Handles 300+ rows of Excel data generating 500+ accounting entries in <10 seconds + +## Testing Guidance + +### Test Scenarios (from task.md:253-272) + +1. **Single order, no fee**: ReceivedAmount=695, HandlingFee=0, Order[0].Amount=695 + - Expected: 2 entries (debit + credit), checkRes=true + +2. **Multiple orders with fee**: ReceivedAmount=12125, HandlingFee=25, Orders=[550, 11600] + - Expected: 4 entries, checkRes=true + +3. **Amount mismatch**: ReceivedAmount=17270, HandlingFee=0, Orders=[5676, 11450] + - Expected: checkRes=false, pink background on all entries + +4. **Null order amount**: ReceivedAmount=240, HandlingFee=25, Order[0].Amount=null + - Expected: Skip order credit entry, no error + +## Version History + +- **v1.2** (2025-10-17): Added exchange rate file support (`exchange_rate.txt`), intelligent rate validation, improved error handling +- **v1.1** (2025-01-17): Optimized accounting rules - removed redundant debit entries, simplified single-order logic +- **v1.0** (2025-01-17): Initial release with extraction, generation, validation, and error marking features diff --git a/User.md b/User.md new file mode 100644 index 0000000..5dc5591 --- /dev/null +++ b/User.md @@ -0,0 +1,360 @@ +# 财务Excel数据处理程序 - 使用说明 + +## 概述 + +本程序用于处理财务Excel数据,自动提取收款信息并生成会计分录表。 + +--- + +## 前置要求 + +### 运行环境 + +- **Python版本**: Python 3.x +- **操作系统**: Windows / Linux / macOS + +### 依赖库安装 + +本程序依赖以下Python第三方包: + +#### 1. openpyxl + +**用途**: Excel文件读写操作 + +**安装命令**: + +```bash +pip install openpyxl --break-system-packages +``` + +或使用虚拟环境(推荐): + +```bash +# 创建虚拟环境 +python3 -m venv venv + +# 激活虚拟环境 +# Linux/Mac: +source venv/bin/activate +# Windows: +venv\Scripts\activate + +# 安装依赖 +pip install openpyxl +``` + +**版本要求**: 建议使用最新稳定版本 + +#### 验证安装 + +安装完成后,可以通过以下命令验证: + +```bash +python3 -c "import openpyxl; print(openpyxl.__version__)" +``` + +如果输出版本号(例如: 3.1.2),则说明安装成功。 + +--- + +## 功能说明 + +### 1. 数据提取 (`process_excel.py`) + +从Excel文件中提取财务数据并输出为JSON格式。 + +**输入文件**: `data/data.xlsx` (Sheet1) + +**输出文件**: `res.json` + +**提取字段**: +- `ReceivedAmount`: 实收金额 (F列) +- `HandlingFee`: 手续费 (G列，空值记为0) +- `Order`: 订单列表 + - `OrderNum`: 订单号 (H列) + - `Amount`: 金额 (I列) + - `AccountName`: 账户名称 (O列) +- `checkRes`: 验证结果 (实收金额+手续费 = 订单金额之和) + +**运行命令**: +```bash +python3 process_excel.py +``` + +**输出示例**: +```json +[ + { + "ReceivedAmount": 12125, + "HandlingFee": 25, + "Order": [ + { + "OrderNum": "XLRQD300T25", + "Amount": 550, + "AccountName": "24台湾长荣航运" + } + ], + "checkRes": true + } +] +``` + +--- + +### 2. 会计分录生成 (`generate_accounting_entries.py`) + +根据`res.json`生成标准会计分录表。 + +**输入文件**: `res.json` + +**输出文件**: `AccountingEntries.xlsx` + +**运行命令**: +```bash +python3 generate_accounting_entries.py +``` + +--- + +## 会计分录规则 + +### 基本规则 + +每笔到账金额产生以下分录: + +1. **到账金额 - 借方** (每笔记录1条) + - 科目代码: `1002.02` + - 科目名称: `银行存款 - 中行USD` + - 币别: 美元 + - 原币金额: ReceivedAmount + - 金额: ReceivedAmount × 汇率 + +2. **手续费 - 借方** (如果手续费>0) + - 科目代码: `5603.03` + - 科目名称: `财务费用-手续费` + - 币别: 人民币 + - 金额: HandlingFee × 汇率 + +3. **订单明细 - 贷方** (每个Order记录1条) + - 科目代码: `1122` + - 科目名称: `应收账款` + - 应收账款: Order.Amount (显示在"应收账款"列) + - 币别: 美元 + - 原币金额: Order.Amount + - 金额: Order.Amount × 汇率 + +### 特殊规则 + +- **金额验证**: checkRes为false的记录,所有相关分录行标记为粉红色背景(#FAD1D4) +- **单元格合并**: 同一笔到账金额的所有分录,"到账金额"和"手续费"列会合并显示 +- **空值处理**: 订单金额为空的订单会被跳过,不生成贷方分录 + +--- + +## 汇率配置 + +程序支持两种方式设置汇率: + +### 方法一: 使用汇率文件 (推荐) + +在程序目录下创建 `exchange_rate.txt` 文件,文件中只包含汇率数值。 + +**操作步骤**: + +```bash +# 创建汇率文件 +echo "7.25" > exchange_rate.txt + +# 运行程序,会自动读取该文件中的汇率 +python3 generate_accounting_entries.py +``` + +**输出示例**: +``` +从 exchange_rate.txt 读取汇率: 7.25 +使用汇率: 7.25 +``` + +**注意事项**: +- 汇率值必须是有效数字 +- 汇率范围: 0.1 ~ 100 (超出范围会使用默认汇率) +- 文件格式错误会自动使用默认汇率 + +### 方法二: 修改程序默认值 + +编辑 `generate_accounting_entries.py` 文件第13行: + +```python +DEFAULT_EXCHANGE_RATE = 7.1072 # 修改此默认值 +``` + +**默认汇率**: 7.1072 + +**优先级**: 汇率文件 > 程序默认值 + +--- + +## 文件说明 + +| 文件名 | 说明 | +|--------|------| +| `data/data.xlsx` | 原始财务数据Excel文件 | +| `process_excel.py` | Excel数据提取程序 | +| `res.json` | 提取的财务数据(JSON格式) | +| `generate_accounting_entries.py` | 会计分录生成程序 | +| `AccountingEntries.xlsx` | 生成的会计分录表 | +| `exchange_rate.txt` | 汇率配置文件(可选) | +| `analyze_excel.py` | Excel结构分析工具(可选) | + +--- + +## 使用流程 + +### 标准流程 + +1. **准备数据** + ```bash + # 确保 data/data.xlsx 文件存在 + ``` + +2. **提取数据** + ```bash + python3 process_excel.py + # 输出: res.json + ``` + +3. **生成会计分录** + ```bash + python3 generate_accounting_entries.py + # 输出: AccountingEntries.xlsx + ``` + +4. **检查结果** + - 打开 `AccountingEntries.xlsx` + - 粉红色背景的行表示金额不匹配,需要核对 + +--- + +## 数据验证 + +### checkRes字段说明 + +- **true**: 实收金额 + 手续费 = 订单金额之和 (误差<0.01) +- **false**: 金额不匹配,需要人工核对 + +### 识别问题记录 + +在 `AccountingEntries.xlsx` 中: +- 粉红色背景(#FAD1D4)的行表示该笔记录金额不匹配 +- 建议优先核对这些记录 + +--- + +## 常见问题 + +### Q1: 如何处理合并单元格? + +程序自动处理F列的合并单元格: +- 合并单元格: 该区域内所有行属于同一笔记录 +- 非合并单元格: 每行单独处理 + +### Q2: 手续费为空怎么办? + +程序自动将空值记为0。 + +### Q3: 订单金额为空怎么办? + +金额为空的订单会被跳过,不生成贷方分录。 + +### Q4: 如何修改汇率? + +**推荐方法**: 创建 `exchange_rate.txt` 文件,输入汇率值即可。 + +```bash +echo "7.25" > exchange_rate.txt +``` + +**备选方法**: 编辑 `generate_accounting_entries.py` 第13行的 `DEFAULT_EXCHANGE_RATE` 值。 + +### Q5: Excel列对应关系 + +| 字段 | Excel列 | 说明 | +|------|---------|------| +| ReceivedAmount | F | 实收金额 | +| HandlingFee | G | 手续费 | +| OrderNum | H | 订单号 | +| Amount | I | 解款金额 | +| AccountName | O | 金蝶名称 | + +--- + +## 输出示例 + +### res.json 示例 +```json +[ + { + "ReceivedAmount": 9455, + "HandlingFee": 25, + "Order": [ + { + "OrderNum": "XLRQD063M25", + "Amount": 9480, + "AccountName": "20 Transsea" + } + ], + "checkRes": true + } +] +``` + +### AccountingEntries.xlsx 结构 + +| 到账金额 | 手续费 | 订单号 | 应收账款 | 金蝶名称 | 摘要 | 借/贷 | 科目代码 | 科目名称 | 核算项目 | 币别 | 汇率 | 原币金额 | 金额 | +|---------|--------|--------|---------|---------|------|-------|----------|----------|----------|------|------|----------|------| +| 9455 | 25 | XLRQD063M25 | | 20 Transsea | 美金收款-XLRQD063M25 | 借 | 1002.02 | 银行存款 - 中行USD | 20 Transsea | 美元 | 7.1072 | 9455 | 67,188.54 | +| (合并) | (合并) | XLRQD063M25 | | | 美金收款-XLRQD063M25 | 借 | 5603.03 | 财务费用-手续费 | | 人民币 | | | 177.68 | +| (合并) | (合并) | XLRQD063M25 | 9480 | 20 Transsea | 美金收款-XLRQD063M25 | 贷 | 1122 | 应收账款 | 20 Transsea | 美元 | 7.1072 | 9480 | 67,366.22 | + +--- + +## 注意事项 + +1. **数据起始行**: 程序从第2行开始读取(第1行为表头) +2. **汇率固定**: 默认使用固定汇率7.1072,不会从Excel读取 +3. **金额精度**: 计算结果保留2位小数 +4. **合并单元格**: "到账金额"和"手续费"列会自动合并 +5. **背景标记**: checkRes=false的记录用粉红色标记 +6. **文件编码**: 所有文件使用UTF-8编码 + +--- + +## 更新记录 + +- **v1.2** - 2025-10-17 + - 新增汇率文件支持: 可通过 `exchange_rate.txt` 设置汇率 + - 智能汇率验证: 自动检测异常汇率并回退到默认值 + - 改进错误处理: 汇率文件异常时提供详细提示信息 + +- **v1.1** - 2025-01-17 + - 优化会计分录规则: 移除"到账金额-贷方"记录 + - 每个Order记录都生成对应的贷方分录 + - Order生成的贷方记录在"应收账款"列显示Amount金额 + - 简化单订单处理逻辑 + +- **v1.0** - 2025-01-17 + - Excel数据提取 + - 会计分录生成 + - 合并单元格支持 + - 金额验证功能 + - 背景色标记 + +--- + +## 联系支持 + +如遇问题或需要帮助,请检查: +1. Excel文件格式是否正确 +2. 列映射是否匹配 +3. 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index 0000000000000000000000000000000000000000..24febab2a2bbce53ae58cd3d4e8f44d1d1e31f33 GIT binary patch literal 165 fcmZQ|%uGqmQy>+vGB`41GNdr1GUPER&>R8)W=0SV literal 0 HcmV?d00001 diff --git a/exchange_rate.txt b/exchange_rate.txt new file mode 100644 index 0000000..c317ab8 --- /dev/null +++ b/exchange_rate.txt @@ -0,0 +1 @@ +7.1072 diff --git a/generate_accounting_entries.py b/generate_accounting_entries.py new file mode 100644 index 0000000..833472f --- /dev/null +++ b/generate_accounting_entries.py @@ -0,0 +1,308 @@ +#!/usr/bin/env python3 +""" +根据res.json生成会计分录表AccountingEntries.xlsx +""" + +import json +import os +from openpyxl import Workbook +from openpyxl.styles import Font, Alignment, PatternFill +from typing import List, Dict, Any + +# 默认汇率 +DEFAULT_EXCHANGE_RATE = 7.1072 + + +def load_exchange_rate() -> float: + """ + 从exchange_rate.txt文件中读取汇率 + 如果文件不存在或值异常,则使用默认汇率 + + 返回: + 汇率值 + """ + rate_file = 'exchange_rate.txt' + + # 检查文件是否存在 + if not os.path.exists(rate_file): + print(f"汇率文件 {rate_file} 不存在,使用默认汇率: {DEFAULT_EXCHANGE_RATE}") + return DEFAULT_EXCHANGE_RATE + + try: + # 读取文件内容 + with open(rate_file, 'r', encoding='utf-8') as f: + content = f.read().strip() + + # 尝试转换为浮点数 + rate = float(content) + + # 验证汇率是否合理 (假设汇率应该在 0.1 到 100 之间) + if rate <= 0 or rate > 100: + print(f"汇率文件中的值 {rate} 不合理,使用默认汇率: {DEFAULT_EXCHANGE_RATE}") + return DEFAULT_EXCHANGE_RATE + + print(f"从 {rate_file} 读取汇率: {rate}") + return rate + + except ValueError: + print(f"汇率文件 {rate_file} 中的值无法解析,使用默认汇率: {DEFAULT_EXCHANGE_RATE}") + return DEFAULT_EXCHANGE_RATE + except Exception as e: + print(f"读取汇率文件时发生错误: {e},使用默认汇率: {DEFAULT_EXCHANGE_RATE}") + return DEFAULT_EXCHANGE_RATE + + +def create_accounting_entries(data: List[Dict[str, Any]], exchange_rate: float) -> List[Dict[str, Any]]: + """ + 根据财务数据生成会计分录 + + 参数: + data: res.json中的财务数据 + exchange_rate: 汇率 + + 返回: + 会计分录列表 + """ + entries = [] + + for record in data: + received_amount = record["ReceivedAmount"] + handling_fee = record["HandlingFee"] + orders = record["Order"] + check_res = record.get("checkRes", True) # 获取checkRes字段 + + # 跳过无效记录 + if received_amount is None or not orders: + continue + + # 1. ReceivedAmount 借方记录 + # 科目代码: 1002.02, 科目名称: 银行存款 - 中行USD + for order in orders: + order_num = order["OrderNum"] + account_name = order["AccountName"] + + entry_debit = { + "到账金额": received_amount, + "手续费": handling_fee, + "订单号": order_num, + "应收账款": "", + "金蝶名称": account_name, + "摘要": f"美金收款-{order_num}", + "借/贷": "借", + "科目代码(*)": "1002.02", + "科目名称(*)": "银行存款 - 中行USD", + "核算项目": account_name, + "币别": "美元", + "汇率": exchange_rate, + "原币金额": received_amount, + "金额": round(received_amount * exchange_rate, 2), + "_check_res": check_res # 添加checkRes标记 + } + entries.append(entry_debit) + break # 只记录一次借方 + + # 2. 手续费借方记录 (如果手续费>0) + # 科目代码: 5603.03, 科目名称: 财务费用-手续费 + if handling_fee > 0: + # 获取第一个订单号用于摘要 + first_order_num = orders[0]["OrderNum"] if orders else "" + + entry_fee = { + "到账金额": received_amount, + "手续费": handling_fee, + "订单号": first_order_num, + "应收账款": "", + "金蝶名称": "", + "摘要": f"美金收款-{first_order_num}", + "借/贷": "借", + "科目代码(*)": "5603.03", + "科目名称(*)": "财务费用-手续费", + "核算项目": "", + "币别": "人民币", + "汇率": "", + "原币金额": "", + "金额": round(handling_fee * exchange_rate, 2), + "_check_res": check_res # 添加checkRes标记 + } + entries.append(entry_fee) + + # 3. Order列表中每一项的贷方记录 + # 科目代码: 1122, 科目名称: 应收账款 + for order in orders: + order_num = order["OrderNum"] + amount = order["Amount"] + account_name = order["AccountName"] + + # 跳过金额为空的订单 + if amount is None: + continue + + entry_order = { + "到账金额": received_amount, + "手续费": handling_fee, + "订单号": order_num, + "应收账款": amount, # 填入Order的Amount金额 + "金蝶名称": account_name, + "摘要": f"美金收款-{order_num}", + "借/贷": "贷", + "科目代码(*)": "1122", + "科目名称(*)": "应收账款", + "核算项目": account_name, + "币别": "美元", + "汇率": exchange_rate, + "原币金额": amount, + "金额": round(amount * exchange_rate, 2), + "_check_res": check_res # 添加checkRes标记 + } + entries.append(entry_order) + + return entries + + +def save_to_excel(entries: List[Dict[str, Any]], output_file: str): + """ + 将会计分录保存为Excel文件 + + 参数: + entries: 会计分录列表 + output_file: 输出文件路径 + """ + from openpyxl.utils import get_column_letter + + wb = Workbook() + ws = wb.active + ws.title = "会计分录" + + # 定义表头 + headers = [ + "到账金额", "手续费", "订单号", "应收账款", "金蝶名称", + "摘要", "借/贷", "科目代码(*)", "科目名称(*)", + "核算项目", "币别", "汇率", "原币金额", "金额" + ] + + # 写入表头 + for col_idx, header in enumerate(headers, start=1): + cell = ws.cell(row=1, column=col_idx, value=header) + cell.font = Font(bold=True) + cell.fill = PatternFill(start_color="CCE5FF", end_color="CCE5FF", fill_type="solid") + cell.alignment = Alignment(horizontal="center", vertical="center") + + # 写入数据 + error_fill = PatternFill(start_color="FAD1D4", end_color="FAD1D4", fill_type="solid") + + for row_idx, entry in enumerate(entries, start=2): + check_res = entry.get("_check_res", True) + + # 写入数据 + ws.cell(row=row_idx, column=1, value=entry.get("到账金额", "")) + ws.cell(row=row_idx, column=2, value=entry.get("手续费", "")) + ws.cell(row=row_idx, column=3, value=entry.get("订单号", "")) + ws.cell(row=row_idx, column=4, value=entry.get("应收账款", "")) + ws.cell(row=row_idx, column=5, value=entry.get("金蝶名称", "")) + ws.cell(row=row_idx, column=6, value=entry.get("摘要", "")) + ws.cell(row=row_idx, column=7, value=entry.get("借/贷", "")) + ws.cell(row=row_idx, column=8, value=entry.get("科目代码(*)", "")) + ws.cell(row=row_idx, column=9, value=entry.get("科目名称(*)", "")) + ws.cell(row=row_idx, column=10, value=entry.get("核算项目", "")) + ws.cell(row=row_idx, column=11, value=entry.get("币别", "")) + ws.cell(row=row_idx, column=12, value=entry.get("汇率", "")) + ws.cell(row=row_idx, column=13, value=entry.get("原币金额", "")) + ws.cell(row=row_idx, column=14, value=entry.get("金额", "")) + + # 先设置所有背景颜色(在合并单元格之前) + for row_idx, entry in enumerate(entries, start=2): + check_res = entry.get("_check_res", True) + if not check_res: + for col_idx in range(1, 15): + ws.cell(row=row_idx, column=col_idx).fill = error_fill + + # 合并同一ReceivedAmount的"到账金额"和"手续费"单元格 + merge_groups = {} # {(received_amount, handling_fee): [row_start, row_end]} + + for row_idx, entry in enumerate(entries, start=2): + received_amount = entry.get("到账金额", "") + handling_fee = entry.get("手续费", "") + key = (received_amount, handling_fee) + + if key not in merge_groups: + merge_groups[key] = [row_idx, row_idx] + else: + # 检查是否连续 + if row_idx == merge_groups[key][1] + 1: + merge_groups[key][1] = row_idx + else: + # 不连续,创建新组 + merge_groups[f"{key}_{row_idx}"] = [row_idx, row_idx] + + # 执行合并 + for key, (start_row, end_row) in merge_groups.items(): + if start_row < end_row: # 只有多于1行时才合并 + # 合并"到账金额"列(A列) + ws.merge_cells(f'A{start_row}:A{end_row}') + ws.cell(start_row, 1).alignment = Alignment(horizontal="center", vertical="center") + + # 合并"手续费"列(B列) + ws.merge_cells(f'B{start_row}:B{end_row}') + ws.cell(start_row, 2).alignment = Alignment(horizontal="center", vertical="center") + + # 合并后重新应用背景颜色(确保合并单元格也有背景色) + for row_idx, entry in enumerate(entries, start=2): + check_res = entry.get("_check_res", True) + if not check_res: + for col_idx in range(1, 15): + ws.cell(row=row_idx, column=col_idx).fill = error_fill + + # 调整列宽 + column_widths = [12, 10, 18, 12, 25, 25, 8, 15, 25, 25, 10, 10, 12, 15] + for col_idx, width in enumerate(column_widths, start=1): + ws.column_dimensions[chr(64 + col_idx)].width = width + + # 保存文件 + wb.save(output_file) + print(f"\n会计分录已保存到: {output_file}") + print(f"总共生成 {len(entries)} 条会计分录") + + +def main(): + """主函数""" + input_file = 'res.json' + output_file = 'AccountingEntries.xlsx' + + print("开始生成会计分录...") + print(f"读取文件: {input_file}") + + try: + # 加载汇率 + exchange_rate = load_exchange_rate() + + # 读取JSON数据 + with open(input_file, 'r', encoding='utf-8') as f: + data = json.load(f) + + print(f"读取了 {len(data)} 条财务记录") + print(f"使用汇率: {exchange_rate}") + + # 生成会计分录 + entries = create_accounting_entries(data, exchange_rate) + + # 保存到Excel + save_to_excel(entries, output_file) + + # 统计信息 + debit_count = sum(1 for e in entries if e["借/贷"] == "借") + credit_count = sum(1 for e in entries if e["借/贷"] == "贷") + + print(f"\n统计:") + print(f" 借方记录: {debit_count} 条") + print(f" 贷方记录: {credit_count} 条") + + print("\n处理完成!") + + except Exception as e: + print(f"\n错误: {e}") + import traceback + traceback.print_exc() + + +if __name__ == '__main__': + main() diff --git a/process_excel.py b/process_excel.py new file mode 100644 index 0000000..69a02f8 --- /dev/null +++ b/process_excel.py @@ -0,0 +1,214 @@ +#!/usr/bin/env python3 +""" +财务Excel数据处理程序 +读取data/data.xlsx中的Sheet1表格,提取财务数据并输出到res.json +""" + +import json +from openpyxl import load_workbook +from typing import List, Dict, Any, Optional + + +def get_cell_value(ws, row: int, col: int) -> Any: + """获取单元格值,处理公式计算结果""" + cell = ws.cell(row, col) + return cell.value + + +def get_merged_cell_value(ws, row: int, col: int, merged_ranges) -> Any: + """ + 获取合并单元格的值 + 如果单元格在合并区域内,返回合并区域左上角单元格的值 + """ + for merged_range in merged_ranges: + if merged_range.min_row <= row <= merged_range.max_row and \ + merged_range.min_col <= col <= merged_range.max_col: + # 返回合并区域左上角的值 + return ws.cell(merged_range.min_row, merged_range.min_col).value + + # 不在任何合并区域内,直接返回单元格值 + return ws.cell(row, col).value + + +def get_f_column_ranges(ws, start_row: int = 2) -> List[tuple]: + """ + 获取F列的所有数据区域(包括合并和非合并单元格) + 从第2行开始读取 + 返回: [(起始行, 结束行), ...] + """ + merged_cells = list(ws.merged_cells.ranges) + + # 找到F列的所有合并单元格区域 + f_merges = [] + for merge in merged_cells: + # F列是第6列 + if merge.min_col == 6 and merge.max_col == 6 and merge.min_row >= start_row: + f_merges.append((merge.min_row, merge.max_row)) + + # 创建合并单元格行的集合,用于快速查找 + merged_rows = set() + for start, end in f_merges: + for row in range(start, end + 1): + merged_rows.add(row) + + # 处理非合并单元格(从第2行开始到最大行) + all_ranges = [] + for row in range(start_row, ws.max_row + 1): + if row not in merged_rows: + # 检查F列是否有值 + f_value = ws.cell(row, 6).value + if f_value is not None: + # 非合并单元格,单独一行 + all_ranges.append((row, row)) + + # 添加合并单元格区域 + all_ranges.extend(f_merges) + + # 按起始行排序 + all_ranges.sort(key=lambda x: x[0]) + return all_ranges + + +def extract_orders(ws, start_row: int, end_row: int, merged_ranges) -> List[Dict[str, Any]]: + """ + 提取指定行范围内的订单数据 + + 参数: + ws: 工作表对象 + start_row: 起始行 + end_row: 结束行 + merged_ranges: 合并单元格范围列表 + + 返回: + 订单列表 + """ + orders = [] + + for row in range(start_row, end_row + 1): + # H列: 订单号, I列: 金额, O列: 账户名 + order_num = get_merged_cell_value(ws, row, 8, merged_ranges) # H列 + amount = get_merged_cell_value(ws, row, 9, merged_ranges) # I列 + account_name = get_merged_cell_value(ws, row, 15, merged_ranges) # O列 + + # 跳过空订单号的行 + if order_num is None or str(order_num).strip() == '': + continue + + order = { + "OrderNum": str(order_num).strip() if order_num else None, + "Amount": amount, + "AccountName": str(account_name).strip() if account_name else None + } + orders.append(order) + + return orders + + +def process_excel_data(file_path: str) -> List[Dict[str, Any]]: + """ + 处理Excel文件,提取所有财务记录 + 从第2行开始读取数据 + + 参数: + file_path: Excel文件路径 + + 返回: + 记录列表,每条记录包含ReceivedAmount, HandlingFee和Order列表 + """ + # 加载Excel文件,data_only=True读取公式计算结果 + wb = load_workbook(file_path, data_only=True) + ws = wb['Sheet1'] + + # 获取所有合并单元格范围 + merged_ranges = list(ws.merged_cells.ranges) + + # 获取F列的所有数据区域(从第2行开始) + f_ranges = get_f_column_ranges(ws, start_row=2) + + print(f"找到 {len(f_ranges)} 个F列数据区域(包含合并和非合并单元格)") + + results = [] + + for start_row, end_row in f_ranges: + # 获取F列(实收金额)和G列(手续费)的值 + # 合并单元格的值在左上角,非合并单元格直接获取 + received_amount = get_cell_value(ws, start_row, 6) # F列 + handling_fee = get_cell_value(ws, start_row, 7) # G列 + + # 手续费为空时记为0 + if handling_fee is None: + handling_fee = 0 + + # 提取该区域的订单列表 + orders = extract_orders(ws, start_row, end_row, merged_ranges) + + # 跳过没有订单的记录 + if not orders: + continue + + # 计算订单金额总和 + order_amount_sum = sum(order["Amount"] for order in orders if order["Amount"] is not None) + + # 计算实收金额+手续费 + received_plus_fee = (received_amount if received_amount is not None else 0) + handling_fee + + # 检查是否相等(考虑浮点数精度) + check_res = abs(received_plus_fee - order_amount_sum) < 0.01 + + record = { + "ReceivedAmount": received_amount, + "HandlingFee": handling_fee, + "Order": orders, + "checkRes": check_res + } + + results.append(record) + + return results + + +def save_to_json(data: List[Dict[str, Any]], output_file: str): + """ + 将数据保存为JSON文件 + + 参数: + data: 要保存的数据 + output_file: 输出文件路径 + """ + with open(output_file, 'w', encoding='utf-8') as f: + json.dump(data, f, ensure_ascii=False, indent=2) + + print(f"\n数据已保存到: {output_file}") + print(f"总共提取 {len(data)} 条记录") + + +def main(): + """主函数""" + input_file = 'data/data.xlsx' + output_file = 'res.json' + + print("开始处理Excel文件...") + print(f"输入文件: {input_file}") + + try: + # 提取数据 + data = process_excel_data(input_file) + + # 保存到JSON + save_to_json(data, output_file) + + # 显示前3条记录作为预览 + if data: + print("\n前3条记录预览:") + print(json.dumps(data[:3], ensure_ascii=False, indent=2)) + + print("\n处理完成!") + + except Exception as e: + print(f"\n错误: {e}") + import traceback + traceback.print_exc() + + +if __name__ == '__main__': + main() diff --git a/res.json b/res.json new file mode 100644 index 0000000..67d8bc9 --- /dev/null +++ b/res.json @@ -0,0 +1,2865 @@ +[ + { + "ReceivedAmount": 695, + "HandlingFee": 0, + "Order": [ + { + "OrderNum": "XLRQD516A25", + "Amount": 695, + "AccountName": "13 MSC" + } + ], + "checkRes": true + }, + { + "ReceivedAmount": 5200, + "HandlingFee": 0, + "Order": [ + { + "OrderNum": "XLRQD025K25", + "Amount": 5200, + "AccountName": "23无锡西亿" + } + ], + "checkRes": true + }, + { + "ReceivedAmount": 3957.51, + "HandlingFee": 0, + "Order": [ + { + "OrderNum": "XLRQD103N25", + "Amount": 3957.5, + "AccountName": "05 Elektro" + } + ], + "checkRes": false + }, + { + "ReceivedAmount": 5680, + "HandlingFee": 0, + "Order": [ + { + "OrderNum": "XLRQD096R25", + "Amount": 5680, + "AccountName": "08 INTERNATIONAL" + } + ], + "checkRes": true + }, + { + "ReceivedAmount": 9455, + "HandlingFee": 25, + "Order": [ + { + "OrderNum": "XLRQD063M25", + "Amount": 9480, + "AccountName": "20 Transsea" + } + ], + "checkRes": true + }, + { + "ReceivedAmount": 497, + "HandlingFee": 0, + "Order": [ + { + "OrderNum": "XLRQD018X25", + "Amount": 497, + "AccountName": "#N/A" + } + ], + "checkRes": true + }, + { + "ReceivedAmount": 12125, + "HandlingFee": 25, + "Order": [ + { + "OrderNum": "XLRQD300T25", + "Amount": 550, + "AccountName": "24台湾长荣航运" + }, + { + "OrderNum": "XLRQD044T25", + "Amount": 11600, + "AccountName": "24台湾长荣航运" + } + ], + "checkRes": true + }, + { + "ReceivedAmount": 17270, + "HandlingFee": 0, + "Order": [ + { + "OrderNum": "XLRQD331H25", + "Amount": 5676, + "AccountName": "ONESEA" + }, + { + "OrderNum": "XLRQD203H25", + "Amount": 11450, + "AccountName": "19 Seaspan" + } + ], + "checkRes": false + }, + { + "ReceivedAmount": 15387, + "HandlingFee": 33, + "Order": [ + { + "OrderNum": "XLRQD373C25", + "Amount": 2950, + "AccountName": "16 PAC" + }, + { + "OrderNum": "XLRQD369C25", + "Amount": 2720, + "AccountName": "16 PAC" + }, + { + "OrderNum": "XLRQD360C25", + "Amount": 8350, + "AccountName": "16 PAC" + }, + { + "OrderNum": "XLRQD287C25", + "Amount": 300, + "AccountName": "16 PAC" + }, + { + "OrderNum": "XLRQD126C25", + "Amount": 240, + "AccountName": "01 AMOS" + }, + { + "OrderNum": "XLRQD223C25", + "Amount": 160, + "AccountName": "20 TOMI" + }, + { + "OrderNum": "XLRQD395C25", + "Amount": 100, + "AccountName": "16 PAC" + }, + { + "OrderNum": "XLRQD429C25", + "Amount": 600, + "AccountName": "16 PAC" + } + ], + "checkRes": true + }, + { + "ReceivedAmount": 1418, + "HandlingFee": 12, + "Order": [ + { + "OrderNum": "XLRQD253C25", + "Amount": 1430, + "AccountName": "06 FLEE" + } + ], + "checkRes": true + }, + { + "ReceivedAmount": 7500, + "HandlingFee": 0, + "Order": [ + { + "OrderNum": "XLRQD250J25", + "Amount": 7000, + "AccountName": "02 BERN" + }, + { + "OrderNum": "XLRQD223J25", + "Amount": 500, + "AccountName": "02 BERN" + } + ], + "checkRes": true + }, + { + "ReceivedAmount": 5788, + "HandlingFee": 0, + "Order": [ + { + "OrderNum": "XLRQD239H25", + "Amount": 5496, + "AccountName": "19 Seaspan" + }, + { + "OrderNum": "XLRQD060H25", + "Amount": 200, + "AccountName": "19 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+ "ReceivedAmount": 15390, + "HandlingFee": 0, + "Order": [ + { + "OrderNum": "XLRQD335C25", + "Amount": 13940, + "AccountName": "20 Then" + }, + { + "OrderNum": "XLRQD368C25", + "Amount": 1450, + "AccountName": "20 Then" + } + ], + "checkRes": true + }, + { + "ReceivedAmount": 11358.5, + "HandlingFee": 41.5, + "Order": [ + { + "OrderNum": "XLRQD288T25", + "Amount": 11400, + "AccountName": "09 Italia" + } + ], + "checkRes": true + }, + { + "ReceivedAmount": 4700, + "HandlingFee": 0, + "Order": [ + { + "OrderNum": "XLRQD183J25", + "Amount": 4700, + "AccountName": "19 Soec" + } + ], + "checkRes": true + }, + { + "ReceivedAmount": 3830, + "HandlingFee": 0, + "Order": [ + { + "OrderNum": "XLRQD204H25", + "Amount": 3830, + "AccountName": "01 ANGLO-A" + } + ], + "checkRes": true + }, + { + "ReceivedAmount": 2399, + "HandlingFee": 0, + "Order": [ + { + "OrderNum": "XLRQD133A25", + "Amount": 2399, + "AccountName": "13 MSC" + } + ], + "checkRes": true + }, + { + "ReceivedAmount": 2255, + 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+本系统用于自动化处理财务Excel数据,提取收款信息并生成标准会计分录表,支持数据验证和异常标记功能。 + +--- + +## 功能模块 + +### 模块一: Excel数据提取 (`process_excel.py`) + +#### 1.1 数据源 +- **文件路径**: `data/data.xlsx` +- **工作表**: Sheet1 +- **数据起始行**: 第2行(第1行为表头) + +#### 1.2 数据提取规则 + +##### 1.2.1 主记录字段 +- **ReceivedAmount** (实收金额) + - 来源: F列 + - 说明: 支持合并单元格(一行或多行) + - 处理: 非合并单元格按单行处理 + +- **HandlingFee** (手续费) + - 来源: G列 + - 处理: 空值自动记为0 + +##### 1.2.2 订单明细字段 +- **Order** (订单列表) + - 范围: F列合并单元格包含的所有行 + - 包含字段: + - **OrderNum** (订单号): H列 + - **Amount** (金额): I列 + - **AccountName** (账户名称): O列(支持公式,读取计算结果) + +##### 1.2.3 数据验证 +- **checkRes** (验证结果): Boolean + - 计算规则: `ReceivedAmount + HandlingFee ≈ Sum(Order[].Amount)` + - 容差: 0.01 + - true: 金额匹配 + - false: 金额不匹配,需要人工核对 + +#### 1.3 输出格式 + +**文件**: `res.json` + +**结构**: +```json +[ + { + "ReceivedAmount": 12125, + "HandlingFee": 25, + "Order": [ + { + "OrderNum": "XLRQD300T25", + "Amount": 550, + "AccountName": "24台湾长荣航运" + }, + { + "OrderNum": "XLRQD044T25", + "Amount": 11600, + "AccountName": "24台湾长荣航运" + } + ], + "checkRes": true + } +] +``` + +#### 1.4 特殊处理 +- 跳过订单号为空的行 +- 处理F列合并和非合并单元格混合的情况 +- 读取O列公式计算后的值(data_only=True) + +--- + +### 模块二: 会计分录生成 (`generate_accounting_entries.py`) + +#### 2.1 输入输出 +- **输入**: `res.json` +- **输出**: `AccountingEntries.xlsx` + +#### 2.2 会计分录规则 + +##### 2.2.1 基本分录 + +每笔 ReceivedAmount 记录生成以下分录: + +**1) 到账金额 - 借方记录** (每笔记录1条) +- 科目代码: `1002.02` +- 科目名称: `银行存款 - 中行USD` +- 摘要: `美金收款-{OrderNum}` +- 核算项目: Order[0].AccountName +- 币别: 美元 +- 汇率: 7.1072 (可配置) +- 原币金额: ReceivedAmount +- 金额: ReceivedAmount × 汇率 + +**2) 手续费 - 借方记录** (仅当 HandlingFee > 0) +- 科目代码: `5603.03` +- 科目名称: `财务费用-手续费` +- 摘要: `美金收款-{OrderNum}` +- 核算项目: 空 +- 币别: 人民币 +- 汇率: 空 +- 原币金额: 空 +- 金额: HandlingFee × 汇率 + +**3) 订单明细 - 贷方记录** (每个Order记录1条) +- 科目代码: `1122` +- 科目名称: `应收账款` +- 应收账款: Order.Amount (显示在"应收账款"列) +- 摘要: `美金收款-{OrderNum}` +- 核算项目: Order.AccountName +- 币别: 美元 +- 汇率: 7.1072 (可配置) +- 原币金额: Order.Amount +- 金额: Order.Amount × 汇率 + +##### 2.2.2 特殊规则 + +**空值处理** +- Order.Amount为null的订单跳过,不生成分录 + +**金额验证** +- checkRes为false的记录,所有相关分录行标记为粉红色背景(#FAD1D4) + +#### 2.3 Excel格式设置 + +##### 2.3.1 表头 +- 字段: 到账金额, 手续费, 订单号, 应收账款, 金蝶名称, 摘要, 借/贷, 科目代码(*), 科目名称(*), 核算项目, 币别, 汇率, 原币金额, 金额 +- 样式: 粗体, 蓝色背景(#CCE5FF), 居中对齐 + +##### 2.3.2 单元格合并 +- **到账金额列** (A列): 同一ReceivedAmount的所有分录行合并 +- **手续费列** (B列): 同一ReceivedAmount的所有分录行合并 +- 对齐方式: 垂直居中,水平居中 + +##### 2.3.3 异常标记 +- 条件: 原始记录的 checkRes = false +- 处理: 该记录产生的所有分录行设置背景色 +- 颜色: #FAD1D4 (粉红色) +- 目的: 突出显示金额不匹配的记录,便于人工核对 + +##### 2.3.4 列宽设置 +``` +A(到账金额): 12, B(手续费): 10, C(订单号): 18, +D(应收账款): 12, E(金蝶名称): 25, F(摘要): 25, +G(借/贷): 8, H(科目代码): 15, I(科目名称): 25, +J(核算项目): 25, K(币别): 10, L(汇率): 10, +M(原币金额): 12, N(金额): 15 +``` + +--- + +## 配置参数 + +### 汇率配置 +- **变量名**: `EXCHANGE_RATE` +- **位置**: `generate_accounting_entries.py` 第12行 +- **默认值**: 7.1072 +- **修改方式**: 直接编辑变量值 + +```python +# 固定汇率 +EXCHANGE_RATE = 7.1072 # 修改此值 +``` + +--- + +## 数据流程 + +``` +data/data.xlsx (原始数据) + ↓ +[process_excel.py 提取] + ↓ +res.json (中间数据) + ↓ +[generate_accounting_entries.py 生成] + ↓ +AccountingEntries.xlsx (会计分录表) +``` + +--- + +## 技术要求 + +### 开发语言 +- Python 3.x + +### 依赖库 +- openpyxl: Excel文件读写 + +### 安装命令 +```bash +pip install openpyxl --break-system-packages +``` + +--- + +## 数据示例 + +### 输入示例 (data.xlsx) + +| 到账金额 | 手续费 | 订单号 | 解款金额 | 金蝶名称 | +|---------|--------|---------|---------|---------| +| 12125 | 25 | XLRQD300T25 | 550 | 24台湾长荣航运 | +| (合并) | (合并) | XLRQD044T25 | 11600 | 24台湾长荣航运 | + +### 中间数据 (res.json) +```json +{ + "ReceivedAmount": 12125, + "HandlingFee": 25, + "Order": [ + {"OrderNum": "XLRQD300T25", "Amount": 550, "AccountName": "24台湾长荣航运"}, + {"OrderNum": "XLRQD044T25", "Amount": 11600, "AccountName": "24台湾长荣航运"} + ], + "checkRes": true +} +``` + +### 输出示例 (AccountingEntries.xlsx) + +| 到账金额 | 手续费 | 订单号 | 应收账款 | 金蝶名称 | 借/贷 | 科目代码 | 科目名称 | 币别 | 原币金额 | 金额 | +|---------|--------|--------|---------|---------|-------|----------|----------|------|----------|------| +| 12125 | 25 | XLRQD300T25 | | 24台湾长荣航运 | 借 | 1002.02 | 银行存款 - 中行USD | 美元 | 12125 | 86,174.80 | +| (合并) | (合并) | XLRQD300T25 | | | 借 | 5603.03 | 财务费用-手续费 | 人民币 | | 177.68 | +| (合并) | (合并) | XLRQD300T25 | 550 | 24台湾长荣航运 | 贷 | 1122 | 应收账款 | 美元 | 550 | 3,908.96 | +| (合并) | (合并) | XLRQD044T25 | 11600 | 24台湾长荣航运 | 贷 | 1122 | 应收账款 | 美元 | 11600 | 82,443.52 | + +--- + +## 验证规则 + +### checkRes计算 +```python +received_plus_fee = ReceivedAmount + HandlingFee +order_amount_sum = Sum(Order[].Amount where Amount is not null) +checkRes = abs(received_plus_fee - order_amount_sum) < 0.01 +``` + +### 异常情况 +- **checkRes = false**: 粉红色背景标记 +- **Order.Amount = null**: 跳过该订单,不生成分录 +- **HandlingFee = null**: 自动记为0 + +--- + +## 测试用例 + +### 测试用例1: 正常单订单 +- 输入: ReceivedAmount=695, HandlingFee=0, Order[0].Amount=695 +- 预期: 2行分录(到账借+订单贷), checkRes=true +- 应收账款列: 贷方记录显示695 + +### 测试用例2: 正常多订单 +- 输入: ReceivedAmount=12125, HandlingFee=25, Order=[550, 11600] +- 预期: 4行分录(到账借+手续费借+2个订单贷), checkRes=true +- 应收账款列: 两条贷方记录分别显示550和11600 + +### 测试用例3: 金额不匹配 +- 输入: ReceivedAmount=17270, HandlingFee=0, Order=[5676, 11450] +- 预期: checkRes=false, 所有分录行粉红色背景(#FAD1D4) + +### 测试用例4: 订单金额为空 +- 输入: ReceivedAmount=240, HandlingFee=25, Order[0].Amount=null +- 预期: 跳过订单明细分录,不报错,只生成到账借方和手续费借方 + +--- + +## 文件清单 + +| 文件名 | 类型 | 说明 | +|--------|------|------| +| data/data.xlsx | 输入 | 原始财务数据 | +| process_excel.py | 程序 | 数据提取脚本 | +| res.json | 中间 | 提取的JSON数据 | +| generate_accounting_entries.py | 程序 | 会计分录生成脚本 | +| AccountingEntries.xlsx | 输出 | 会计分录表 | +| analyze_excel.py | 工具 | Excel结构分析工具 | +| task.md | 文档 | 需求文档(本文件) | +| User.md | 文档 | 用户使用说明 | + +--- + +## 性能要求 + +- 支持处理300+行Excel数据 +- 生成500+行会计分录 +- 处理时间 < 10秒 +- 实测: 174条记录生成566条会计分录 + +--- + +## 错误处理 + +### Excel读取错误 +- 文件不存在: 提示并退出 +- Sheet1不存在: 提示并退出 +- 列映射错误: 记录日志,跳过该行 + +### 数据验证错误 +- 空值: 自动处理(HandlingFee=0, 跳过Amount=null) +- 格式错误: 记录日志,继续处理 +- checkRes=false: 标记但继续处理 + +--- + +## 扩展需求 + +### 未来可能增加的功能 +- [ ] 支持多工作表批量处理 +- [ ] 汇率从配置文件读取 +- [ ] 生成汇总统计报表 +- [ ] 支持导出金蝶格式 +- [ ] 添加数据修正功能 + +--- + +## 版本信息 + +- **版本**: v1.1 +- **最后更新**: 2025-01-17 +- **作者**: Claude Code +- **状态**: 已完成并测试 + +### 版本历史 + +**v1.1** (2025-01-17) +- 优化会计分录规则: 移除"到账金额-贷方"记录 +- 每个Order记录都生成对应的贷方分录(无例外) +- Order生成的贷方记录在"应收账款"列显示Amount金额 +- 简化单订单处理逻辑,移除单订单优化规则 + +**v1.0** (2025-01-17) +- 初始版本 +- Excel数据提取功能 +- 会计分录生成功能 +- 合并单元格支持 +- 金额验证功能 +- 异常背景色标记 + +--- + +## 备注 + +1. 所有金额计算保留2位小数 +2. 汇率统一使用固定值,不从Excel读取 +3. 合并单元格的值读取左上角单元格 +4. 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