houhuan
975f9e5887
- Chromium 启动参数优化：禁用 dev-shm 和 GPU 加速，防止Docker内存不足 - 增加所有超时时间：login/navigate/export 超时 30s，下载超时 300s - 改进网络延迟处理：增加数据加载等待时间，添加网络加载检测 - Docker Compose 资源配置：限制 2 CPU / 2GB 内存，DNS 配置国际公共 DNS - Dockerfile 优化：添加 PYTHONHASHSEED 环境变量，跳过浏览器下载校验 - 新增 docker-debug.sh 脚本：便捷测试 Docker 容器中的下载功能 - 新增 .dockerignore：加速 Docker 构建，减少镜像大小 Docker 下载现在支持更长的网络延迟和更大的数据量
57 lines
3.0 KiB
Markdown
57 lines
3.0 KiB
Markdown
# CLAUDE.md
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This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
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## Project Overview
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SalesShow is a monolithic Flask web application for analyzing sales data from Excel files. It supports manual Excel uploads and automated daily downloads from secsion.com via Playwright browser automation. There is no database — all data lives as Excel files on disk in `uploads/`.
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## Commands
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```bash
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# Install dependencies
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pip install -r requirements.txt
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# Run development server (Flask on port 5000, debug via FLASK_DEBUG env var)
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python app.py
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# Run with Docker (builds image, installs Playwright Chromium, port 5000)
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docker-compose up -d
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# Production
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gunicorn -w 4 -b 0.0.0.0:8000 app:app
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# CLI automation — download reports from secsion.com
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python -m automation.secsion --start 2026-04-28 --end 2026-04-28
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```
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No test framework or linter is configured in this project.
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## Architecture
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**Backend (Flask, single `app.py`):**
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- Routes handle file upload (`/upload`), file listing (`/files`), data loading/processing (`/load/<filename>`), deletion, and cleanup.
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- `process_sales_data()` (~lines 371-575 in `app.py`) is the core logic. It uses a state-machine approach to handle two Excel formats: "flat tables" (each row has code + product) and "hierarchical tables" (code row is a header, product rows are children). Outputs daily summaries with per-product breakdowns.
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- `find_header_row()` dynamically detects the header row by scanning first 20 rows for keyword matches.
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**Automation module (`automation/`):**
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- `secsion.py` — `SecsionDownloader` uses Playwright headless Chromium to log into secsion.com, navigate to reports, set date range via TDesign date picker, optionally inject `shop_id` via route interception, and download exports.
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- `uploader.py` — copies downloaded files into `uploads/` with timestamp-prefix naming (same convention as manual uploads).
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- `scheduler.py` — APScheduler `BackgroundScheduler` with `CronTrigger` runs daily auto-download (default 01:00).
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**Configuration (`config.py`):**
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- Three-tier priority: Web UI settings (`data/config.json`) > environment variables (`.env` / system env) > defaults.
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- `Config` class provides static methods for reading/writing secsion credentials, shop ID, and scheduler settings.
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**Frontend (vanilla JS/CSS, no build step):**
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- `main.js` — all client-side interactivity: file upload (drag-and-drop), AJAX to API, data rendering (card/table view), client-side filtering, sorting, pagination (50 items/page), export.
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- `style.css` — Glassmorphism design with CSS custom properties.
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- `settings.html` — self-contained settings page with inline `<script>` (no separate JS file).
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## Key Design Decisions
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- No database — Excel files on disk are the data store.
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- No frontend build step — vanilla JS/CSS served directly via Flask static files.
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- Playwright automation runs in daemon threads with a global `download_status` dict for status tracking.
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- Passwords are masked (`******`) when returned via the API.
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