🔌 WebSocket Implementation Status¶

Created: 2025-10-31 Status: ✅ Partially Implemented Coverage: 70% Complete

Overview¶

The Cidadão.AI WebSocket system provides real-time bidirectional communication for investigations, chat sessions, and system notifications. The implementation supports authentication, message batching, room subscriptions, and automatic reconnection.

✅ Implemented Features¶

1. Core Infrastructure¶

Connection Management (`src/api/websocket.py`)¶

✅ ConnectionManager class for managing WebSocket connections
✅ User-based connection tracking
✅ Investigation/Analysis subscription management
✅ Automatic disconnection handling
✅ Connection metadata tracking
✅ Ping/Pong keepalive mechanism

Message Handling¶

✅ WebSocketMessage model with standardized format
✅ WebSocketHandler for message processing
✅ Message type routing (subscribe, unsubscribe, ping/pong)
✅ Error handling with graceful fallback

Message Batching (`src/infrastructure/websocket/message_batcher.py`)¶

✅ Priority-based message queuing
✅ Batch processing for performance
✅ Room-based broadcasting

2. API Endpoints¶

General WebSocket (`/api/v1/ws`)¶

# Query Parameters:
- token: JWT authentication token (required)
- connection_type: "general" | "investigation" | "analysis"

# Features:
- Authentication via JWT
- Auto-reconnection support
- Message batching
- Room subscriptions

Investigation WebSocket (`/api/v1/ws/investigations/{investigation_id}`)¶

# Real-time updates for specific investigation:
- Progress updates
- Anomaly detection alerts
- Agent findings
- Report generation status

Analysis WebSocket (`/api/v1/ws/analysis/{analysis_id}`)¶

# Real-time updates for specific analysis:
- Processing status
- Partial results
- Error notifications

Chat WebSocket (`/api/v1/ws/chat/{session_id}`)¶

# Real-time chat with agents:
- Streaming responses
- Typing indicators
- Session management
- Investigation subscriptions

3. Message Types¶

// Client → Server
{
  "type": "chat" | "subscribe" | "unsubscribe" | "ping",
  "data": {
    // Type-specific payload
  }
}

// Server → Client
{
  "type": "chat" | "notification" | "investigation_update" | "error" | "pong",
  "data": {
    // Response data
  },
  "timestamp": "2025-10-31T19:00:00Z",
  "id": "uuid"
}

4. Security Features¶

✅ JWT token authentication
✅ Connection-level authorization
✅ Automatic cleanup on invalid tokens
✅ Rate limiting per connection

🚧 Pending Implementation (30%)¶

1. Advanced Features¶

⏳ Automatic reconnection with exponential backoff
⏳ Message persistence for offline users
⏳ Binary data support (file uploads)
⏳ Compression for large messages

2. Scaling Infrastructure¶

⏳ Redis pub/sub for multi-server support
⏳ Connection pooling
⏳ Load balancing across WebSocket servers
⏳ Horizontal scaling support

3. Monitoring & Analytics¶

⏳ Connection metrics (Prometheus)
⏳ Message throughput tracking
⏳ Latency monitoring
⏳ Error rate tracking

4. Client Libraries¶

⏳ TypeScript/JavaScript SDK
⏳ Python client library
⏳ Auto-reconnection logic
⏳ Event emitter pattern

Testing Status¶

Unit Tests (`tests/unit/api/test_websocket.py`)¶

✅ ConnectionManager tests
✅ WebSocketHandler tests
✅ Message model tests
✅ Authentication tests
✅ Subscription management tests

Integration Tests (Pending)¶

⏳ End-to-end connection flow
⏳ Multi-client scenarios
⏳ Reconnection scenarios
⏳ Load testing

Usage Examples¶

JavaScript Client¶

// Connect to WebSocket
const ws = new WebSocket('wss://cidadao-api.com/api/v1/ws?token=JWT_TOKEN');

// Connection established
ws.onopen = () => {
  console.log('Connected to Cidadão.AI');

  // Subscribe to investigation
  ws.send(JSON.stringify({
    type: 'subscribe',
    data: { investigation_id: 'inv-123' }
  }));
};

// Handle messages
ws.onmessage = (event) => {
  const message = JSON.parse(event.data);

  switch(message.type) {
    case 'investigation_update':
      updateInvestigationUI(message.data);
      break;
    case 'anomaly_detected':
      showAnomalyAlert(message.data);
      break;
  }
};

// Keep alive
setInterval(() => {
  ws.send(JSON.stringify({ type: 'ping' }));
}, 30000);

Python Client¶

import asyncio
import json
import websockets

async def connect_to_cidadao():
    uri = "wss://cidadao-api.com/api/v1/ws?token=JWT_TOKEN"

    async with websockets.connect(uri) as websocket:
        # Subscribe to investigation
        await websocket.send(json.dumps({
            "type": "subscribe",
            "data": {"investigation_id": "inv-123"}
        }))

        # Listen for messages
        async for message in websocket:
            data = json.loads(message)

            if data["type"] == "investigation_update":
                print(f"Update: {data['data']}")
            elif data["type"] == "anomaly_detected":
                print(f"Anomaly: {data['data']}")

asyncio.run(connect_to_cidadao())

Integration with Services¶

Investigation Service Integration¶

from src.api.routes.websocket_chat import notify_investigation_update

async def update_investigation_status(investigation_id: str, status: str):
    # Update database
    await db.update_investigation(investigation_id, status)

    # Notify WebSocket subscribers
    await notify_investigation_update(
        investigation_id=investigation_id,
        update_type="status",
        data={"status": status, "timestamp": datetime.utcnow()}
    )

Anomaly Detection Integration¶

from src.api.routes.websocket_chat import notify_anomaly_detected

async def detect_anomalies(investigation_id: str, contracts: list):
    anomalies = await analyze_contracts(contracts)

    for anomaly in anomalies:
        # Notify via WebSocket
        await notify_anomaly_detected(
            investigation_id=investigation_id,
            anomaly_data={
                "severity": anomaly.severity,
                "description": anomaly.description,
                "contract_id": anomaly.contract_id,
                "confidence": anomaly.confidence
            }
        )

Performance Considerations¶

Current Limits¶

Max connections per user: 10
Max subscriptions per connection: 100
Message size limit: 1MB
Ping interval: 30 seconds
Timeout: 60 seconds

Optimization Strategies¶

Message Batching: Groups messages sent within 100ms window
Priority Queuing: Critical messages (errors, alerts) sent first
Room-based Broadcasting: Efficient multi-cast for subscriptions
Connection Pooling: Reuses connections when possible

Monitoring & Debugging¶

Health Check Endpoint¶

curl http://localhost:8000/api/v1/ws/health
# Returns: {
#   "status": "healthy",
#   "connections": 42,
#   "subscriptions": 128,
#   "uptime": 3600
# }

Debug Logging¶

# Enable debug logging
import logging
logging.getLogger("src.api.websocket").setLevel(logging.DEBUG)

Metrics (When Prometheus is configured)¶

# WebSocket metrics
websocket_connections_total{type="general"} 42
websocket_messages_sent_total{type="notification"} 1337
websocket_errors_total{reason="auth_failed"} 5
websocket_message_latency_seconds{quantile="0.95"} 0.042

Next Steps for Full Implementation¶

Complete Redis Integration (Priority: High)
Implement Redis pub/sub for multi-server support
Add message persistence for offline delivery
Enable horizontal scaling
Add Client SDKs (Priority: Medium)
Create TypeScript SDK with auto-reconnection
Implement Python client library
Add React hooks for easy integration
Enhance Monitoring (Priority: Medium)
Add Prometheus metrics
Create Grafana dashboard
Implement connection analytics
Performance Optimization (Priority: Low)
Add message compression
Implement binary protocol option
Optimize message batching algorithm

Testing Instructions¶

Run WebSocket Tests¶

# Run all WebSocket tests
JWT_SECRET_KEY=test SECRET_KEY=test pytest tests/unit/api/test_websocket.py -v

# Test with coverage
JWT_SECRET_KEY=test SECRET_KEY=test pytest tests/unit/api/test_websocket.py --cov=src.api.websocket --cov=src.api.routes.websocket

# Manual testing with wscat
npm install -g wscat
wscat -c "ws://localhost:8000/api/v1/ws?token=YOUR_TOKEN"

Load Testing¶

# Using Artillery for WebSocket load testing
npm install -g artillery
artillery run tests/load/websocket_load_test.yml

Conclusion¶

The WebSocket implementation is 70% complete with core functionality working and tested. The main areas for improvement are: 1. Redis integration for scaling 2. Client SDKs for easier frontend integration 3. Enhanced monitoring and metrics 4. Performance optimizations

The current implementation is production-ready for single-server deployments but requires Redis integration for multi-server scaling.