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Open signaling and tracking server for peer discovery in distributed P2P applications. Features: - REST API for WebRTC peer discovery and signaling - Origin-based session isolation - Multiple storage backends (SQLite, in-memory, Cloudflare KV) - Docker and Cloudflare Workers deployment support - Automatic session cleanup and expiration 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
243 lines
7.1 KiB
Markdown
243 lines
7.1 KiB
Markdown
# Rondevu
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An open signaling and tracking server for peer discovery. Enables peers to find each other through a topic-based HTTP API with Origin isolation for organizing peer-to-peer applications.
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## Features
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- 🚀 **Fast & Lightweight** - Built with [Hono](https://hono.dev/) framework
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- 📂 **Topic-Based Organization** - Group sessions by topic for easy peer discovery
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- 🔒 **Origin Isolation** - Sessions are isolated by HTTP Origin header to group topics by domain
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- 🏷️ **Peer Identification** - Info field prevents duplicate connections to same peer
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- 🔌 **Pluggable Storage** - Storage interface supports SQLite and in-memory adapters
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- 🐳 **Docker Ready** - Minimal Alpine-based Docker image
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- ⏱️ **Session Timeout** - Configurable session expiration from initiation time
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- 🔐 **Type Safe** - Written in TypeScript with full type definitions
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## Quick Start
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### Using Node.js
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```bash
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# Install dependencies
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npm install
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# Run in development mode
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npm run dev
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# Build and run in production
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npm run build
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npm start
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```
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### Using Docker
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```bash
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# Build the image
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docker build -t rondevu .
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# Run with default settings (SQLite database)
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docker run -p 3000:3000 rondevu
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# Run with in-memory storage
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docker run -p 3000:3000 -e STORAGE_TYPE=memory rondevu
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# Run with custom timeout (10 minutes)
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docker run -p 3000:3000 -e SESSION_TIMEOUT=600000 rondevu
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```
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### Using Cloudflare Workers
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```bash
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# Install Wrangler CLI
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npm install -g wrangler
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# Login to Cloudflare
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wrangler login
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# Create KV namespace
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wrangler kv:namespace create SESSIONS
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# Update wrangler.toml with the KV namespace ID
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# Deploy to Cloudflare's edge network
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npx wrangler deploy
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```
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See [DEPLOYMENT.md](./DEPLOYMENT.md#cloudflare-workers) for detailed instructions.
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## Configuration
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Configuration is done through environment variables:
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| Variable | Description | Default |
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|--------------------|--------------------------------------------------|-------------|
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| `PORT` | Server port | `3000` |
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| `STORAGE_TYPE` | Storage backend: `sqlite` or `memory` | `sqlite` |
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| `STORAGE_PATH` | Path to SQLite database file | `./data.db` |
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| `SESSION_TIMEOUT` | Session timeout in milliseconds | `300000` |
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| `CORS_ORIGINS` | Comma-separated list of allowed origins | `*` |
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### Example .env file
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```env
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PORT=3000
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STORAGE_TYPE=sqlite
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STORAGE_PATH=./sessions.db
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SESSION_TIMEOUT=300000
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CORS_ORIGINS=https://example.com,https://app.example.com
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```
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## API Documentation
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See [API.md](./API.md) for complete API documentation.
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### Quick Overview
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**List all active topics (with pagination):**
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```bash
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curl -X GET http://localhost:3000/ \
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-H "Origin: https://example.com"
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# Returns: {"topics":[{"topic":"my-room","count":3}],"pagination":{...}}
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```
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**Create an offer (announce yourself as available):**
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```bash
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curl -X POST http://localhost:3000/my-room/offer \
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-H "Content-Type: application/json" \
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-H "Origin: https://example.com" \
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-d '{"info":"peer-123","offer":"<SIGNALING_DATA>"}'
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# Returns: {"code":"550e8400-e29b-41d4-a716-446655440000"}
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```
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**List available peers in a topic:**
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```bash
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curl -X GET http://localhost:3000/my-room/sessions \
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-H "Origin: https://example.com"
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# Returns: {"sessions":[...]}
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```
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**Connect to a peer:**
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```bash
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curl -X POST http://localhost:3000/answer \
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-H "Content-Type: application/json" \
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-H "Origin: https://example.com" \
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-d '{"code":"550e8400-...","answer":"<SIGNALING_DATA>","side":"answerer"}'
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# Returns: {"success":true}
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```
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## Architecture
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### Storage Interface
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The storage layer is abstracted through a simple interface, making it easy to implement custom storage backends:
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```typescript
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interface Storage {
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createSession(origin: string, topic: string, info: string, offer: string, expiresAt: number): Promise<string>;
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listSessionsByTopic(origin: string, topic: string): Promise<Session[]>;
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getSession(code: string, origin: string): Promise<Session | null>;
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updateSession(code: string, origin: string, update: Partial<Session>): Promise<void>;
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deleteSession(code: string): Promise<void>;
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cleanup(): Promise<void>;
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close(): Promise<void>;
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}
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```
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### Built-in Storage Adapters
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**SQLite Storage** (`sqlite.ts`)
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- For Node.js/Docker deployments
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- Persistent file-based or in-memory
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- Automatic session cleanup
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- Simple and reliable
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**Cloudflare KV Storage** (`kv.ts`)
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- For Cloudflare Workers deployments
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- Global edge storage
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- Automatic TTL-based expiration
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- Distributed and highly available
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### Custom Storage Adapters
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You can implement your own storage adapter by implementing the `Storage` interface:
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```typescript
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import { Storage, Session } from './storage/types';
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export class CustomStorage implements Storage {
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async createSession(offer: string, expiresAt: number): Promise<string> {
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// Your implementation
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}
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// ... implement other methods
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}
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```
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## Development
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### Project Structure
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```
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rondevu/
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├── src/
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│ ├── index.ts # Node.js server entry point
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│ ├── app.ts # Hono application
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│ ├── config.ts # Configuration
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│ └── storage/
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│ ├── types.ts # Storage interface
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│ ├── sqlite.ts # SQLite adapter
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│ └── codeGenerator.ts # Code generation utility
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├── Dockerfile # Docker build configuration
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├── build.js # Build script
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├── API.md # API documentation
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└── README.md # This file
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```
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### Building
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```bash
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# Build TypeScript
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npm run build
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# Run built version
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npm start
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```
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### Docker Build
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```bash
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# Build the image
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docker build -t rondevu .
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# Run with volume for persistent storage
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docker run -p 3000:3000 -v $(pwd)/data:/app/data rondevu
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```
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## How It Works
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1. **Discover topics** (optional): Call `GET /` to see all active topics and peer counts
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2. **Peer A** announces availability by posting to `/:topic/offer` with peer identifier and signaling data
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3. Server generates a unique UUID code and stores the session (bucketed by Origin and topic)
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4. **Peer B** discovers available peers using `GET /:topic/sessions`
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5. **Peer B** filters out their own session using the info field to avoid self-connection
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6. **Peer B** selects a peer and posts their connection data to `POST /answer` with the session code
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7. Both peers exchange signaling data through `POST /answer` endpoint
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8. Both peers poll for updates using `POST /poll` to retrieve connection information
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9. Sessions automatically expire after the configured timeout
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This allows peers in distributed systems to discover each other without requiring a centralized registry, while maintaining isolation between different applications through Origin headers.
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### Origin Isolation
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Sessions are isolated by the HTTP `Origin` header, ensuring that:
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- Peers can only see sessions from their own origin
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- Session codes cannot be accessed cross-origin
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- Topics are organized by application domain
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## License
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MIT
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## Contributing
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Contributions are welcome! Please feel free to submit a Pull Request.
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