# CollabTable Server A collaborative table management server built with Node.js, Express, TypeScript, and a pluggable database (SQLite or PostgreSQL). ## Features - RESTful API for managing lists, fields, items, and values - Real-time synchronization via WebSocket (primary) with HTTP fallback - SQLite (better-sqlite3) or PostgreSQL (pg) database backends - Dockerized deployment with persistent storage - TypeScript for type safety ## Prerequisites - Docker and Docker Compose - Or Node.js 20+ (for local development) ## Quick Start with Docker 1. Clone the repository 2. Navigate to the server directory: ```bash cd CollabTableServer ``` 3. Copy the example environment file: ```bash cp .env.example .env ``` 4. Start the services: ```bash docker-compose up -d ``` The server will be available at `http://localhost:3000` **Important:** The default backend is SQLite with a Docker volume `sqlite_data` for persistence. You can also switch to PostgreSQL by setting environment variables. ## Local Development 1. Install dependencies: ```bash npm install ``` 2. Create a `.env` file: ```bash cp .env.example .env ``` 3. Choose your database in `.env` (SQLite by default): ``` # Backend: sqlite | postgres (default sqlite) DB_CLIENT=sqlite # SQLite DB_PATH=./data/collabtable.db # OR PostgreSQL # DATABASE_URL=postgres://user:password@localhost:5432/collabtable # PGHOST=localhost # PGPORT=5432 # PGUSER=postgres # PGPASSWORD=yourpassword # PGDATABASE=collabtable ``` 4. Start the development server: ```bash npm run dev ``` ## API Endpoints ### Lists - `GET /api/lists` - Get all lists - `GET /api/lists/:id` - Get a specific list - `POST /api/lists` - Create a new list - `PUT /api/lists/:id` - Update a list - `DELETE /api/lists/:id` - Delete a list (soft delete) ### Fields - `GET /api/fields/list/:listId` - Get all fields for a list - `POST /api/fields` - Create a new field - `PUT /api/fields/:id` - Update a field - `DELETE /api/fields/:id` - Delete a field (soft delete) ### Items - `GET /api/items/list/:listId` - Get all items for a list - `GET /api/items/:itemId/values` - Get all values for an item - `POST /api/items` - Create a new item - `POST /api/items/values` - Create/update an item value - `PUT /api/items/:id` - Update an item - `DELETE /api/items/:id` - Delete an item (soft delete) ### Sync - `POST /api/sync` - Synchronize data between client and server ### WebSocket - `GET /api/ws` - WebSocket endpoint. Send JSON messages: - `{"type":"ping"}` → `{"type":"pong"}` - `{"type":"sync", "id":"", "payload": { ...SyncRequest }}` → `{"type":"syncResponse", "id":"", "payload": { ...SyncResponse }}` Authentication: If `SERVER_PASSWORD` is set, include header `Authorization: Bearer ` on HTTP and WebSocket requests. ### Health Check - `GET /health` - Check server health ## Data Models ### List ```typescript { id: string; name: string; createdAt: number; updatedAt: number; isDeleted: boolean; } ``` ### Field ```typescript { id: string; listId: string; name: string; order: number; createdAt: number; updatedAt: number; isDeleted: boolean; } ``` ### Item ```typescript { id: string; listId: string; createdAt: number; updatedAt: number; isDeleted: boolean; } ``` ### ItemValue ```typescript { id: string; itemId: string; fieldId: string; value: string; updatedAt: number; } ``` ## Sync Protocol The sync endpoint accepts a POST request with the following structure: ```json { "lastSyncTimestamp": 1234567890, "lists": [...], "fields": [...], "items": [...], "itemValues": [...] } ``` The server responds with: ```json { "lists": [...], "fields": [...], "items": [...], "itemValues": [...], "serverTimestamp": 1234567890 } ``` The sync process: 1. Client sends all local changes since the last sync 2. Server saves the client's changes 3. Server returns all changes made on the server since the client's last sync 4. Client applies the server's changes locally ## Building for Production Build the TypeScript code: ```bash npm run build ``` Start the production server: ```bash npm start ``` ## Docker Commands Start services: ```bash docker-compose up -d ``` Stop services: ```bash docker-compose down ``` View logs: ```bash docker-compose logs -f ``` Rebuild and restart: ```bash docker-compose up -d --build ``` ## Environment Variables - `PORT` - Server port (default: 3000) - `NODE_ENV` - Environment (development/production) - `SERVER_PASSWORD` - Optional shared password for API and WebSocket (recommended) - `DB_CLIENT` - `sqlite` (default) or `postgres` - `DB_PATH` - Path to SQLite database file (default: ./data/collabtable.db for local, /data/collabtable.db in Docker) - `DATABASE_URL` - PostgreSQL connection URL (optional alternative to PG* variables) - `PGHOST`, `PGPORT`, `PGUSER`, `PGPASSWORD`, `PGDATABASE` - PostgreSQL connection parameters - `DB_INIT_RETRY_INTERVAL_MS` - Delay between DB init retries in ms (default: `5000`) - `DB_INIT_RETRY_MAX_ATTEMPTS` - Max DB init retries; `0` retries forever (default: `0`) - `AUTH_LOG_THROTTLE_MS` - Minimum interval before repeating the same auth warning log (default: `30000`) - `SYNC_MAX_FUTURE_SKEW_MS` - Allowed future timestamp skew from clients during sync (default: `0`) ## Data Persistence ### SQLite The SQLite database file is stored in a Docker volume, ensuring data persists across container lifecycle events. Backup: ```bash docker cp collabtable-server:/data/collabtable.db ./backup.db ``` Restore: ```bash docker cp ./backup.db collabtable-server:/data/collabtable.db docker-compose restart ``` ### PostgreSQL Use your normal PostgreSQL backup/restore procedures (e.g., `pg_dump`, `pg_restore`). If using the optional Dockerized Postgres service, the data is stored in a named volume (see `docker-compose.yml`). ## License MIT