netspresso-training-studio/docker-compose-infra.yml at dev · Nota-NetsPresso/netspresso-training-studio · GitHub

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version: '3.8'

services:
  api:
    build:
      context: .
      dockerfile: Dockerfile
    container_name: np-training-studio-api
    ports:
      - "58200:80"
    volumes:
      - /home/bmlee/projects/np_training_studio:/np_training_studio
    depends_on:
      rabbitmq:
        condition: service_healthy
    env_file:
      - .docker-compose.env
    stdin_open: true # docker run -i
    tty: true # docker run -t
    command:
      - bash
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: all
              capabilities: [gpu]

  worker:
    build:
      context: .
      dockerfile: Dockerfile
    container_name: np-training-studio-worker
    volumes:
      - /home/bmlee/projects/np_training_studio:/np_training_studio
    depends_on:
      rabbitmq:
        condition: service_healthy
    env_file:
      - .docker-compose.env
    stdin_open: true # docker run -i
    tty: true # docker run -t
    command: bash # python -m app.worker.worker
    ipc: host
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: all
              capabilities: [gpu]

  rabbitmq:
    image: rabbitmq:3-management
    container_name: np-training-studio-rabbitmq
    ports:
      - "5672:5672"
      - "15672:15672"
    volumes:
      - rabbitmq_data:/var/lib/rabbitmq
    env_file:
      - .docker-compose.env
    healthcheck:
      test: ["CMD", "rabbitmqctl", "status"]
      interval: 10s
      timeout: 5s
      retries: 5
      start_period: 15s

volumes:
  rabbitmq_data: