name: fida-python-prod

services:
  server:
    container_name: "FiDA_${SERVE_ENV}_Server"
    build:
      context: .
      dockerfile: Dockerfile
    working_dir: /app
    volumes:
      - ./:/app
      - ./.env:/app/.env
      - /etc/localtime:/etc/localtime:ro
    ports:
      - "${SERVE_PORT}:80"
    environment:
      - SERVE_ENV=${SERVE_ENV}
    restart: unless-stopped

  # ==================== Worker 1: img_to_3d（重资源，建议只跑1个） ====================
  img_worker:
    container_name: "FiDA_${SERVE_ENV}_ImgWorker"
    build:
      context: .
      dockerfile: Dockerfile
    working_dir: /app
    command: >
      celery -A src.server.canvas_generate_3D.celery_app worker
      -n img_worker@%h
      -Q img_to_3d_queue
      --concurrency=1
      --prefetch-multiplier=1
      --max-tasks-per-child=1
      --loglevel=INFO
    volumes:
      - ./:/app
      - ./.env:/app/.env
      - /etc/localtime:/etc/localtime:ro
    environment:
      - SERVE_ENV=${SERVE_ENV}
    depends_on:
      - server          # 可选：等 server 启动后再启动 worker
    restart: unless-stopped

  # ==================== Worker 2: 3d_to_3views ====================
  views_worker:
    container_name: "FiDA_${SERVE_ENV}_ViewsWorker"
    build:
      context: .
      dockerfile: Dockerfile
    working_dir: /app
    command: >
      celery -A src.server.canvas_generate_3D.celery_app worker
      -n views_worker@%h
      -Q 3d_to_3views_queue
      --concurrency=2
      --prefetch-multiplier=1
      --loglevel=INFO
    volumes:
      - ./:/app
      - ./.env:/app/.env
      - /etc/localtime:/etc/localtime:ro
    environment:
      - SERVE_ENV=${SERVE_ENV}
    depends_on:
      - server
    restart: unless-stopped