# Developer Guide This section is for those who want to contribute to Media Manager or understand its internals. ## Source Code directory structure - `media_manager/`: Backend FastAPI application - `web/`: Frontend SvelteKit application - `Writerside/`: Documentation - `metadata_relay/`: Metadata relay service, also FastAPI ## Special Dev Configuration #### Env Variables - `BASE_PATH`: this sets the base path for the app (can be set for both backend and frontend) - `PUBLIC_VERSION`: this sets the version variable, it is displayed in the frontend (requires rebuilding of the frontend) and in the /api/v1/health endpoint (can be set for both backend and frontend) - `FRONTEND_FILES_DIR`: directory for frontend files, e.g. in Docker container it is `/app/web/build` (only backend) - `MEDIAMANAGER_MISC__DEVELOPMENT`: If set to `TRUE`, enables hot reloading of FastAPI (only when using the docker container) ## Contributing - Consider opening an issue to discuss changes before starting work ## Setting up the Development Environment I use IntellijIdea with the Pycharm and Webstorm plugins to develop this, but this guide should also work with VSCode. Normally I'd recommend Intellij, but unfortunately only Intellij Ultimate has support for FastAPI and some other features. ### Recommended VSCode Plugins: - Python - Svelte for VSCode - and probably more, but I don't use VSCode myself, so I can't recommend anymore. ### Recommended Intellij/Pycharm Plugins: - Python - Svelte - Pydantic - Ruff - VirtualKit - Writerside (for writing documentation) ### Other recommendations I recommend developing using Docker, i.e. you can use the provided `docker-compose.dev.yaml` file. This dev docker-compose file has the `./media_manager` directory mounted at `/app/media_manager` in the container, meaning you can run the code using the container in exactly the environment it will be running in. Additionally, to develop the frontend I use a locally installed Node.js server. So basically a hybrid approach, where the backend runs in a container and the frontend runs on Windows. To make this work, you need to make sure the `cors_urls` and `frontend_url` are set correctly in the backend's config file. Unfortunately, a side effect of this setup is that you have to rebuild the Docker image every time when you change the python dependencies in any way or at least restart the container if you change the code. For a fast-paced development it may be more convenient to run the backend locally too, because then it supports hot reloading. ### Setting up the basic development environment with Docker - Copy the `config.dev.toml` file to `config.toml` in the `./res` directory and edit it to your needs. - Use the following command to start the development environment with Docker: ```bash docker compose -f docker-compose.dev.yaml up -d ``` ### Setting up the backend development environment 1. Clone the repository 2. cd into repo root 3. [Install `uv`.](https://docs.astral.sh/uv/getting-started/installation/) 4. run `uv --version` to verify that `uv` is installed correctly 5. Install python if you haven't already: ```bash uv python install 3.13 ``` 6. Create a virtual environment with uv ```bash uv venv --python 3.13 ``` 7. Install dependencies: ```bash uv sync ``` 8. run db migrations with ```bash uv run alembic upgrade head ``` 9. run the backend with ```bash uv run ./media_manager/main.py --reload --port 8000 ``` - format code with `uvx ruff format` - lint code with `uvx ruff check` ### Setting up the frontend development environment 1. Clone the repository 2. cd into repo root 3. cd into `web` directory 4. install Node.js and npm if you haven't already, I used [nvm-windows](https://github.com/coreybutler/nvm-windows?tab=readme-ov-file): ```powershell nvm install 24.1.0 nvm use 24.1.0 ``` I also needed to run the following command to be able to use `npm`: ```powershell Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope CurrentUser ``` 5. Install the dependencies with npm: `npm install` 6. Start the frontend development server: `npm run dev` - format the code with `npm run format` - lint the code with `npm run lint` ## Sequence Diagrams ```mermaid sequenceDiagram title Step-by-step: going from adding a show to importing a torrent of one of its seasons User->>TV Router: Add a show (POST /tv/shows) TV Router->>TV Service: Receive Show Request TV Service->>MetadataProviderService: Get Metadata for Show MetadataProviderService->>File System: Save Poster Image TV Service->>Database: Store show information User->>TV Router: Get Available Torrents for a Season (GET /tv/torrents) TV Router->>TV Service: Receive Request TV Service->>Indexer Service: Search for torrents TV Service->>User: Returns Public Indexer Results User->>TV Router: Download Torrent (POST /tv/torrents) TV Router->>TV Service: Receive Request Note over Database: This associates a season with a torrent id and the file_path_suffix TV Service->>Database: Saves a SeasonFile object TV Service->>Torrent Service: Download Torrent Torrent Service->>File System: Save Torrentfile Torrent Service->>QBittorrent: Download Torrent Note over Scheduler: Hourly scheduler trigger Scheduler->>TV Service: auto_import_all_show_torrents() TV Service->>Database: Get all Shows and seasons which are associated with a torrent TV Service->>Torrent Service: Update Torrent download statuses Note over TV Service: if a torrent is finished downloading it will be imported TV Service->>Torrent Service: get all files in the torrents directory Note over Torrent Service: Extracts archives, guesses mimetype (Video/Subtitle/Other) Note over TV Service: filters files based on some regex and renames them TV Service->>File System: Move/Hardlink video and subtitle files Note over User: User can now access the show in e.g. Jellyfin ``` ## Tech Stack ### Backend - Python - FastAPI - SQLAlchemy - Pydantic and Pydantic-Settings - Alembic ### Frontend - TypeScript - SvelteKit - Tailwind CSS - shadcn-svelte - openapi-ts - openapi-fetch ### CI/CD - GitHub Actions