cf082d04e48854c95a9c7beae0a3e0825ec966d8
Co-authored-by: multica-agent <github@multica.ai>
往来台账
当前版本包含银行流水表头识别内核,以及相互独立的总账管理端和公司业务端原型。
How recognition works
- Scan the first 50 rows of every worksheet.
- Normalize whitespace and full-width characters in candidate headers.
- Match required header aliases against known bank template signatures.
- Map columns by header name, independent of their order.
- Normalize transaction dates, income, expense, balance, counterparty, and reference fields.
- Reject unknown or ambiguous templates instead of guessing.
The original Excel file is never modified.
Run
python -m pip install -r requirements.txt
$env:PYTHONPATH = "src"
python -m bank_importer.cli "流水模板"
python -m unittest discover -s tests -v
python server.py
Docker 部署
Windows PowerShell 一键启动:
.\start-docker.ps1
Linux 或 macOS 一键启动:
./start-docker.sh
默认访问 http://localhost:4173/。如需更换宿主机端口,可运行
.\start-docker.ps1 -Port 8080,或运行 APP_PORT=8080 ./start-docker.sh。
停止服务使用 docker compose down,查看日志使用 docker compose logs -f app。
访问地址:
- 登录入口:
http://127.0.0.1:4173/ - 总账管理端:
http://127.0.0.1:4173/admin.html - 公司业务端:
http://127.0.0.1:4173/company.html
公司端上传会把所选工作簿提交到本地 /api/parse,与 CLI 使用同一个确定性表头解析器。当前前端是交互原型,公司、账号、期初、提醒和导入确认仅保存在当前浏览器页面中,尚未接入数据库和正式身份认证。
The CLI prints batch summaries only. It does not print sensitive transaction details.
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