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# 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":"<uuid>", "payload": { ...SyncRequest }}` → `{"type":"syncResponse", "id":"<uuid>", "payload": { ...SyncResponse }}`
Authentication: If `SERVER_PASSWORD` is set, include header `Authorization: Bearer <password>` 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