version: '3.8'

services:
  redis:
    image: redis:7-alpine
    container_name: jarvis-redis
    restart: unless-stopped
    ports:
      - "6379:6379"
    networks:
      - jarvis-net

  vad:
    build: ./services/vad
    container_name: jarvis-vad
    restart: unless-stopped
    ports:
      - "8001:8000"  # API для приема аудио
    environment:
      - REDIS_HOST=redis
      - REDIS_PORT=6379
    depends_on:
      - redis
    networks:
      - jarvis-net
    # VAD работает на CPU, deploy не нужен

  asr:
    build: ./services/asr
    container_name: jarvis-asr
    restart: unless-stopped
    ports:
      - "8002:8000"
    environment:
      - REDIS_HOST=redis
      - REDIS_PORT=6379
    depends_on:
      - redis
    networks:
      - jarvis-net
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: 1
              capabilities: [gpu]

  speaker-id:
    build: ./services/speaker-id
    container_name: jarvis-speaker-id
    restart: unless-stopped
    ports:
      - "8003:8000"
    volumes:
      - ./services/speaker-id/embeddings.json:/app/embeddings.json
    environment:
      - REDIS_HOST=redis
      - REDIS_PORT=6379
    depends_on:
      - redis
    networks:
      - jarvis-net
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: 1
              capabilities: [gpu]  # может работать и на CPU, но GPU ускорит

  orchestrator:
    build: ./services/orchestrator
    container_name: jarvis-orchestrator
    restart: unless-stopped
    ports:
      - "8004:8000"
    environment:
      - REDIS_HOST=redis
      - REDIS_PORT=6379
    depends_on:
      - redis
    networks:
      - jarvis-net
    # CPU, GPU не нужен

  tts:
    build: ./services/tts
    container_name: jarvis-tts
    restart: unless-stopped
    ports:
      - "8005:8000"
    environment:
      - REDIS_HOST=redis
      - REDIS_PORT=6379
    depends_on:
      - redis
    networks:
      - jarvis-net
    # Для iGPU потребуется дополнительная конфигурация, пока оставим на CPU
    # deploy:
    #   resources:
    #     reservations:
    #       devices:
    #         - driver: intel
    #           count: 1
    #           capabilities: [gpu]

networks:
  jarvis-net:
    driver: bridge