recoder-code/docker-compose.yml

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services:
  # Main CLI Application
  recoder-cli:
    build:
      context: .
      dockerfile: Dockerfile.production
    environment:
      - NODE_ENV=production
      - REDIS_URL=redis://redis:6379
      - POSTGRES_URL=postgresql://postgres:${POSTGRES_PASSWORD}@postgres:5432/recoder_db
      - OPENROUTER_API_KEY=${OPENROUTER_API_KEY}
      - LOG_LEVEL=info
      - ENABLE_MONITORING=true
      - ENABLE_METRICS=true
      - ML_TRAINING_SERVICE_URL=http://ml-training:8000
      - PLUGIN_REGISTRY_URL=http://plugin-registry:3001
      - COLLABORATION_SERVICE_URL=http://collaboration:3002
    ports:
      - "8080:8080"
    volumes:
      - ./config:/app/config:ro
      - ./logs:/app/logs
      - ./data:/app/data
    depends_on:
      - redis
      - postgres
      - ml-training
      - plugin-registry
      - collaboration
    restart: unless-stopped
    healthcheck:
      test: ["CMD", "node", "scripts/health-check.js"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 40s

  # ML Training Service
  ml-training:
    build:
      context: ./ml-training-service
      dockerfile: Dockerfile
    environment:
      - DATABASE_URL=postgresql://postgres:${POSTGRES_PASSWORD}@postgres:5432/recoder_db
      - REDIS_URL=redis://redis:6379
      - HUGGINGFACE_TOKEN=${HUGGINGFACE_TOKEN}
      - MLFLOW_TRACKING_URI=http://mlflow:5000
      - LOG_LEVEL=info
    ports:
      - "8000:8000"
    volumes:
      - ml_models:/app/models
      - ml_datasets:/app/datasets
      - ml_checkpoints:/app/checkpoints
      - ./logs:/app/logs
    depends_on:
      - redis
      - postgres
      - mlflow
    restart: unless-stopped
    deploy:
      resources:
        limits:
          memory: 4G
          cpus: '2.0'
        reservations:
          memory: 2G
          cpus: '1.0'

  # Plugin Registry Service
  plugin-registry:
    build:
      context: ./plugin-registry-service
      dockerfile: Dockerfile
    environment:
      - NODE_ENV=production
      - DATABASE_URL=postgresql://postgres:${POSTGRES_PASSWORD}@postgres:5432/recoder_db
      - REDIS_URL=redis://redis:6379
      - LOG_LEVEL=info
      - STORAGE_TYPE=local
      - STORAGE_PATH=/app/storage
    ports:
      - "3001:3001"
    volumes:
      - plugin_storage:/app/storage
      - ./logs:/app/logs
    depends_on:
      - redis
      - postgres
    restart: unless-stopped

  # Collaboration Service
  collaboration:
    build:
      context: ./collaboration-service
      dockerfile: Dockerfile
    environment:
      - NODE_ENV=production
      - REDIS_URL=redis://redis:6379
      - LOG_LEVEL=info
    ports:
      - "3002:3002"
    volumes:
      - collaboration_sessions:/app/sessions
      - ./logs:/app/logs
    depends_on:
      - redis
    restart: unless-stopped

  # Database
  postgres:
    image: postgres:15-alpine
    environment:
      - POSTGRES_DB=recoder_db
      - POSTGRES_USER=postgres
      - POSTGRES_PASSWORD=${POSTGRES_PASSWORD}
      - POSTGRES_INITDB_ARGS=--encoding=UTF-8 --lc-collate=C --lc-ctype=C
    ports:
      - "5432:5432"
    volumes:
      - postgres_data:/var/lib/postgresql/data
      - ./sql/init-production.sql:/docker-entrypoint-initdb.d/init.sql:ro
    restart: unless-stopped
    deploy:
      resources:
        limits:
          memory: 1G
          cpus: '0.5'

  # Redis Cache
  redis:
    image: redis:7-alpine
    command: redis-server --appendonly yes --requirepass ${REDIS_PASSWORD}
    environment:
      - REDIS_PASSWORD=${REDIS_PASSWORD}
    ports:
      - "6379:6379"
    volumes:
      - redis_data:/data
    restart: unless-stopped
    deploy:
      resources:
        limits:
          memory: 512M
          cpus: '0.25'

  # MLflow Tracking Server
  mlflow:
    image: python:3.11-slim
    command: >
      bash -c "pip install mlflow psycopg2-binary && 
               mlflow server --host 0.0.0.0 --port 5000 
               --backend-store-uri postgresql://postgres:${POSTGRES_PASSWORD}@postgres:5432/recoder_db 
               --default-artifact-root /mlflow/artifacts"
    environment:
      - POSTGRES_PASSWORD=${POSTGRES_PASSWORD}
    ports:
      - "5000:5000"
    volumes:
      - mlflow_artifacts:/mlflow/artifacts
    depends_on:
      - postgres
    restart: unless-stopped

  # Monitoring - Prometheus
  prometheus:
    image: prom/prometheus:latest
    command:
      - '--config.file=/etc/prometheus/prometheus.yml'
      - '--storage.tsdb.path=/prometheus'
      - '--web.console.libraries=/etc/prometheus/console_libraries'
      - '--web.console.templates=/etc/prometheus/consoles'
      - '--storage.tsdb.retention.time=30d'
      - '--web.enable-lifecycle'
    ports:
      - "9090:9090"
    volumes:
      - ./monitoring/prometheus.yml:/etc/prometheus/prometheus.yml:ro
      - ./monitoring/rules:/etc/prometheus/rules:ro
      - prometheus_data:/prometheus
    restart: unless-stopped

  # Monitoring - Grafana
  grafana:
    image: grafana/grafana:latest
    environment:
      - GF_SECURITY_ADMIN_PASSWORD=${GRAFANA_ADMIN_PASSWORD}
      - GF_USERS_ALLOW_SIGN_UP=false
      - GF_INSTALL_PLUGINS=grafana-piechart-panel,grafana-worldmap-panel
    ports:
      - "3000:3000"
    volumes:
      - grafana_data:/var/lib/grafana
      - ./monitoring/grafana/dashboards:/var/lib/grafana/dashboards:ro
      - ./monitoring/grafana/provisioning:/etc/grafana/provisioning:ro
    depends_on:
      - prometheus
    restart: unless-stopped

  # Reverse Proxy
  nginx:
    image: nginx:alpine
    ports:
      - "80:80"
      - "443:443"
    volumes:
      - ./nginx/nginx.conf:/etc/nginx/nginx.conf:ro
      - ./nginx/ssl:/etc/nginx/ssl:ro
      - ./logs/nginx:/var/log/nginx
    depends_on:
      - recoder-cli
      - ml-training
      - plugin-registry
      - collaboration
    restart: unless-stopped

volumes:
  postgres_data:
    driver: local
  redis_data:
    driver: local
  ml_models:
    driver: local
  ml_datasets:
    driver: local
  ml_checkpoints:
    driver: local
  plugin_storage:
    driver: local
  collaboration_sessions:
    driver: local
  mlflow_artifacts:
    driver: local
  prometheus_data:
    driver: local
  grafana_data:
    driver: local

networks:
  default:
    driver: bridge
    ipam:
      config:
        - subnet: 172.20.0.0/16