version: '3.8'

services:
  # Redis (for queue management)
  redis:
    image: redis:7-alpine
    container_name: insurnova-redis
    restart: unless-stopped
    ports:
      - "6379:6379"
    volumes:
      - redis_data:/data
    networks:
      - insurnova-network
    healthcheck:
      test: ["CMD", "redis-cli", "ping"]
      interval: 10s
      timeout: 5s
      retries: 5

  # ML API Service (Python)
  ml-api:
    build:
      context: .
      dockerfile: deployment/docker/Dockerfile.python
    container_name: insurnova-ml-api
    restart: unless-stopped
    ports:
      - "8000:8000"
    environment:
      - PYTHONUNBUFFERED=1
    volumes:
      - ./ml/models:/app/ml/models
    networks:
      - insurnova-network
    healthcheck:
      test: ["CMD-SHELL", "curl -f http://localhost:8000/health || exit 1"]
      interval: 30s
      timeout: 10s
      retries: 3

  # Event Processor Service (Node.js)
  event-processor:
    build:
      context: .
      dockerfile: deployment/docker/Dockerfile.node
    container_name: insurnova-event-processor
    restart: unless-stopped
    ports:
      - "3000:3000"
    environment:
      - NODE_ENV=production
      - SUPABASE_URL=${SUPABASE_URL}
      - SUPABASE_SERVICE_KEY=${SUPABASE_SERVICE_KEY}
      - REDIS_HOST=redis
      - REDIS_PORT=6379
      - ML_API_URL=http://ml-api:8000
      - LOG_LEVEL=info
    volumes:
      - ./logs:/app/logs
    networks:
      - insurnova-network
    depends_on:
      - redis
      - ml-api
    healthcheck:
      test: ["CMD-SHELL", "curl -f http://localhost:3000/health || exit 1"]
      interval: 30s
      timeout: 10s
      retries: 3

volumes:
  redis_data:
    driver: local

networks:
  insurnova-network:
    driver: bridge