SaleShow/CLAUDE.md

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Project Overview

SaleShow 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/.

Commands

# Install dependencies
pip install -r requirements.txt

# Run development server (Flask on port 5000, debug via FLASK_DEBUG env var)
python app.py

# Run with Docker (builds image, installs Playwright Chromium, port 5000)
docker-compose up -d

# Production
gunicorn -w 4 -b 0.0.0.0:8000 app:app

# CLI automation — download reports from secsion.com
python -m automation.secsion --start 2026-04-28 --end 2026-04-28
python -m automation.secsion --start 2026-05-15 --end 2026-05-17 --username 15682076681 --password yourpassword

No test framework or linter is configured in this project.

Architecture

Backend (Flask, single app.py):

• Routes handle file upload (/upload), file listing (/files), data loading/processing (/load/<filename>), deletion, and cleanup.
• process_sales_data() (~lines 371-575) 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.
• find_header_row() dynamically detects the header row by scanning first 20 rows for keyword matches.
• Auto-download routes use a global download_status dict and run Playwright in daemon threads via threading.Thread.

Automation module (automation/):

• secsion.py — SecsionDownloader uses Playwright headless Chromium to log into secsion.com, navigate to reports, set date range via TDesign date picker (requires click → select day → Enter confirm → Escape close sequence), optionally inject shop_id via route interception on **/api/bill/export, and download exports. Has 3-retry logic with exponential backoff.
• uploader.py — copies downloaded files into uploads/ with YYYYMMDD_HHMMSS_ prefix naming (same convention as manual uploads).
• scheduler.py — APScheduler BackgroundScheduler with CronTrigger runs daily auto-download (default 01:00). Uses misfire_grace_time=3600.

Configuration (config.py):

• Three-tier priority: Web UI settings (data/config.json) > environment variables (.env / system env) > defaults.
• Config class provides static methods for reading/writing secsion credentials, shop ID, and scheduler settings.
• Passwords are masked (******) when returned via the API.

Frontend (vanilla JS/CSS, no build step):

• 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.
• style.css — Glassmorphism design with CSS custom properties.
• settings.html — self-contained settings page with inline <script> (no separate JS file).

Key Design Decisions

• No database — Excel files on disk are the data store.
• No frontend build step — vanilla JS/CSS served directly via Flask static files.
• Playwright automation runs in daemon threads; status tracked via module-level download_status dict in app.py.
• The secsion.com date picker uses TDesign's needconfirm="true" mode — simply calling .fill() won't work; must click cell then press Enter.