docker-compose.bigevy.yml

# bigEVY Deployment Configuration
# Central Processing Node - High-performance server with GPU
version: '3.8'

services:
  # bigEVY Core Services
  model-manager:
    build:
      context: ./backend
      dockerfile: Dockerfile.bigevy
    container_name: bigevy-model-manager
    ports:
      - "9000:9000"
    environment:
      - NODE_TYPE=bigevy
      - NODE_ID=bigevy-001
      - GPU_ENABLED=true
      - MODEL_STORAGE_PATH=/models
      - LOG_LEVEL=INFO
    volumes:
      - ./models/large:/models
      - ./data/bigevy:/data
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: 1
              capabilities: [gpu]
    restart: unless-stopped
    networks:
      - bigevy-network

  large-llm:
    build:
      context: ./backend
      dockerfile: Dockerfile.bigevy
    container_name: bigevy-large-llm
    ports:
      - "9001:9001"
    environment:
      - NODE_TYPE=bigevy
      - NODE_ID=bigevy-001
      - MODEL_TYPE=large
      - DEFAULT_MODEL=llama-2-7b
      - MAX_TOKENS=2048
      - BATCH_PROCESSING=true
      - GPU_ENABLED=true
      - LOG_LEVEL=INFO
    volumes:
      - ./models/large:/models
      - ./data/bigevy:/data
    depends_on:
      - model-manager
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: 1
              capabilities: [gpu]
    restart: unless-stopped
    networks:
      - bigevy-network

  global-rag:
    build:
      context: ./backend
      dockerfile: Dockerfile.bigevy
    container_name: bigevy-global-rag
    ports:
      - "9002:9002"
    environment:
      - NODE_TYPE=bigevy
      - NODE_ID=bigevy-001
      - EMBEDDING_MODEL=all-mpnet-base-v2
      - MAX_DOCUMENTS=1000000
      - CACHE_SIZE_MB=10000
      - LOG_LEVEL=INFO
    volumes:
      - ./data/bigevy/global_knowledge:/data/bigevy_global_knowledge
      - ./data/bigevy/chroma:/data/chroma
    restart: unless-stopped
    networks:
      - bigevy-network

  analytics-service:
    build:
      context: ./backend
      dockerfile: Dockerfile.bigevy
    container_name: bigevy-analytics
    ports:
      - "9003:9003"
    environment:
      - NODE_TYPE=bigevy
      - NODE_ID=bigevy-001
      - ANALYTICS_ENABLED=true
      - DATA_RETENTION_DAYS=365
      - LOG_LEVEL=INFO
    volumes:
      - ./data/bigevy/analytics:/data/analytics
    restart: unless-stopped
    networks:
      - bigevy-network

  sync-service:
    build:
      context: ./backend
      dockerfile: Dockerfile.bigevy
    container_name: bigevy-sync-service
    ports:
      - "9004:9004"
    environment:
      - NODE_TYPE=bigevy
      - NODE_ID=bigevy-001
      - SYNC_INTERVAL_HOURS=1
      - LILEVY_NODES_DISCOVERY=true
      - LOG_LEVEL=INFO
    volumes:
      - ./data/bigevy/sync:/data/sync
    restart: unless-stopped
    networks:
      - bigevy-network

  update-manager:
    build:
      context: ./backend
      dockerfile: Dockerfile.bigevy
    container_name: bigevy-update-manager
    ports:
      - "9005:9005"
    environment:
      - NODE_TYPE=bigevy
      - NODE_ID=bigevy-001
      - MODEL_UPDATES_ENABLED=true
      - UPDATE_CHECK_INTERVAL_HOURS=24
      - LOG_LEVEL=INFO
    volumes:
      - ./models:/models
      - ./data/bigevy/updates:/data/updates
    restart: unless-stopped
    networks:
      - bigevy-network

  load-balancer:
    build:
      context: ./backend
      dockerfile: Dockerfile.bigevy
    container_name: bigevy-load-balancer
    ports:
      - "9006:9006"
    environment:
      - NODE_TYPE=bigevy
      - NODE_ID=bigevy-001
      - LOAD_BALANCING_ENABLED=true
      - HEALTH_CHECK_INTERVAL=30
      - LOG_LEVEL=INFO
    depends_on:
      - large-llm
      - global-rag
    restart: unless-stopped
    networks:
      - bigevy-network

  # bigEVY Monitoring and Management
  monitoring:
    build:
      context: ./backend
      dockerfile: Dockerfile.bigevy
    container_name: bigevy-monitoring
    ports:
      - "9091:9091"
    environment:
      - NODE_TYPE=bigevy
      - NODE_ID=bigevy-001
      - METRICS_ENABLED=true
      - ALERTING_ENABLED=true
      - LOG_LEVEL=INFO
    volumes:
      - ./data/bigevy/metrics:/data/metrics
      - ./data/bigevy/alerts:/data/alerts
    restart: unless-stopped
    networks:
      - bigevy-network

  # Optional: Web Interface for bigEVY Management
  web-interface:
    build:
      context: ./frontend
      dockerfile: Dockerfile.bigevy
    container_name: bigevy-web-interface
    ports:
      - "3001:3001"
    environment:
      - NODE_TYPE=bigevy
      - API_BASE_URL=http://load-balancer:9006
      - LOG_LEVEL=INFO
    depends_on:
      - load-balancer
    restart: unless-stopped
    networks:
      - bigevy-network

networks:
  bigevy-network:
    driver: bridge
    ipam:
      config:
        - subnet: 172.21.0.0/16

volumes:
  bigevy-data:
    driver: local
  bigevy-models:
    driver: local
  bigevy-analytics:
    driver: local