# CLAUDE.md This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository. ## Project Overview AutoBangumi is an RSS-based automatic anime downloading and organization tool. It monitors RSS feeds from anime torrent sites (Mikan, DMHY, Nyaa), downloads episodes via qBittorrent, and organizes files into a Plex/Jellyfin-compatible directory structure with automatic renaming. ## Development Commands ### Backend (Python) ```bash # Install dependencies cd backend && uv sync # Install with dev tools cd backend && uv sync --group dev # Run development server (port 7892, API docs at /docs) cd backend/src && uv run python main.py # Run tests cd backend && uv run pytest cd backend && uv run pytest src/test/test_xxx.py -v # run specific test # Linting and formatting cd backend && uv run ruff check src cd backend && uv run black src # Add a dependency cd backend && uv add # Add a dev dependency cd backend && uv add --group dev ``` ### Frontend (Vue 3 + TypeScript) ```bash cd webui # Install dependencies (uses pnpm, not npm) pnpm install # Development server (port 5173) pnpm dev # Build for production pnpm build # Type checking pnpm test:build # Linting and formatting pnpm lint pnpm lint:fix pnpm format ``` ### Docker ```bash docker build -t auto_bangumi:latest . docker run -p 7892:7892 -v /path/to/config:/app/config -v /path/to/data:/app/data auto_bangumi:latest ``` ## Architecture ``` backend/src/ ├── main.py # FastAPI entry point, mounts API at /api ├── module/ │ ├── api/ # REST API routes (v1 prefix) │ │ ├── auth.py # Authentication endpoints │ │ ├── bangumi.py # Anime series CRUD │ │ ├── rss.py # RSS feed management │ │ ├── config.py # Configuration endpoints │ │ ├── program.py # Program status/control │ │ └── search.py # Torrent search │ ├── core/ # Application logic │ │ ├── program.py # Main controller, orchestrates all operations │ │ ├── sub_thread.py # Background task execution │ │ └── status.py # Application state tracking │ ├── models/ # SQLModel ORM models (Pydantic + SQLAlchemy) │ ├── database/ # Database operations (SQLite at data/data.db) │ ├── rss/ # RSS parsing and analysis │ ├── downloader/ # qBittorrent integration │ │ └── client/ # Download client implementations (qb, aria2, tr) │ ├── searcher/ # Torrent search providers (Mikan, DMHY, Nyaa) │ ├── parser/ # Torrent name parsing, metadata extraction │ │ └── analyser/ # TMDB, Mikan, OpenAI parsers │ ├── manager/ # File organization and renaming │ ├── notification/ # Notification plugins (Telegram, Bark, etc.) │ ├── conf/ # Configuration management, settings │ ├── network/ # HTTP client utilities │ └── security/ # JWT authentication webui/src/ ├── api/ # Axios API client functions ├── components/ # Vue components (basic/, layout/, setting/) ├── pages/ # Router-based page components ├── router/ # Vue Router configuration ├── store/ # Pinia state management ├── i18n/ # Internationalization (zh-CN, en-US) └── hooks/ # Custom Vue composables ``` ## Key Data Flow 1. RSS feeds are parsed by `module/rss/` to extract torrent information 2. Torrent names are analyzed by `module/parser/analyser/` to extract anime metadata 3. Downloads are managed via `module/downloader/` (qBittorrent API) 4. Files are organized by `module/manager/` into standard directory structure 5. Background tasks run in `module/core/sub_thread.py` to avoid blocking ## Code Style - Python: Black (88 char lines), Ruff linter (E, F, I rules), target Python 3.10+ - TypeScript: ESLint + Prettier - Run formatters before committing ## Git Branching - `main`: Stable releases only - `X.Y-dev` branches: Active development (e.g., `3.2-dev`) - Bug fixes → PR to current released version's `-dev` branch - New features → PR to next version's `-dev` branch ## Releasing a Beta Version 1. Update version in `backend/pyproject.toml` 2. Update `CHANGELOG.md` with the new version heading 3. Commit and push to the dev branch 4. Create and push a tag with the version name (e.g., `3.2.0-beta.4`): ```bash git tag 3.2.0-beta.4 git push origin 3.2.0-beta.4 ``` 5. The CI/CD workflow (`.github/workflows/build.yml`) detects the tag contains "beta", uses the tag name as the VERSION string, generates `module/__version__.py`, and builds the Docker image The VERSION is injected at build time via CI — `module/__version__.py` does not exist in the repo. At runtime, `module/conf/config.py` imports it or falls back to `"DEV_VERSION"`. ## Database Migrations Schema migrations are tracked via a `schema_version` table in SQLite. To add a new migration: 1. Increment `CURRENT_SCHEMA_VERSION` in `backend/src/module/database/combine.py` 2. Append a new entry to the `MIGRATIONS` list: `(version, "description", ["SQL statements"])` 3. Migrations run automatically on startup via `run_migrations()` ## Notes - Documentation and comments are in Chinese - Uses SQLModel (hybrid Pydantic + SQLAlchemy ORM) - External integrations: qBittorrent API, TMDB API, OpenAI API - Version tracked in `/config/version.info` (for cross-version upgrade detection)