WatAIOliver/docker-compose.yml at main · XiandaDu/WatAIOliver · GitHub

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version: "3.9"

services:
  backend:
    image: xiandadu/oliver-backend-api:${IMAGE_TAG:-latest}
    container_name: oliver-backend
    ports:
      - "8000:8000"
    env_file:
      - ./backend/.env
    volumes:
      - ./backend/.env:/app/backend/.env:ro
      - ./machine_learning/groovy-bonus-454823-i5-53ed89aee2cb.json:/app/machine_learning/groovy-bonus-454823-i5-53ed89aee2cb.json:ro
    environment:
      # 若 machine_learning/.env 里配置了 GOOGLE_APPLICATION_CREDENTIALS 指向此 JSON，后端需要访问时会一致
      GOOGLE_APPLICATION_CREDENTIALS: /app/machine_learning/groovy-bonus-454823-i5-53ed89aee2cb.json
    restart: unless-stopped

  pdf_processor:
    image: xiandadu/oliver-pdf-service:${IMAGE_TAG:-latest}
    container_name: oliver-pdf
    ports:
      - "8001:8001"
    env_file:
      - ./machine_learning/.env
    volumes:
      - ./machine_learning/.env:/app/machine_learning/.env:ro
      - ./machine_learning/groovy-bonus-454823-i5-53ed89aee2cb.json:/app/machine_learning/groovy-bonus-454823-i5-53ed89aee2cb.json:ro
    environment:
      GOOGLE_APPLICATION_CREDENTIALS: /app/machine_learning/groovy-bonus-454823-i5-53ed89aee2cb.json
    restart: unless-stopped
    depends_on:
      - backend

  rag_service:
    image: xiandadu/oliver-rag-service:${IMAGE_TAG:-latest}
    container_name: oliver-rag
    ports:
      - "8002:8002"
    env_file:
      - ./machine_learning/.env
    volumes:
      - ./machine_learning/.env:/app/machine_learning/.env:ro
      - ./machine_learning/groovy-bonus-454823-i5-53ed89aee2cb.json:/app/machine_learning/groovy-bonus-454823-i5-53ed89aee2cb.json:ro
    environment:
      GOOGLE_APPLICATION_CREDENTIALS: /app/machine_learning/groovy-bonus-454823-i5-53ed89aee2cb.json
    restart: unless-stopped
    depends_on:
      - backend
      - pdf_processor

  agent_service:
    image: xiandadu/oliver-agent-service:${IMAGE_TAG:-latest}
    container_name: oliver-agent
    ports:
      - "8003:8003"
    env_file:
      - ./machine_learning/.env
    volumes:
      - ./machine_learning/.env:/app/machine_learning/.env:ro
      - ./machine_learning/groovy-bonus-454823-i5-53ed89aee2cb.json:/app/machine_learning/groovy-bonus-454823-i5-53ed89aee2cb.json:ro
    environment:
      GOOGLE_APPLICATION_CREDENTIALS: /app/machine_learning/groovy-bonus-454823-i5-53ed89aee2cb.json
    restart: unless-stopped
    depends_on:
      - backend
      - rag_service

  frontend:
    image: xiandadu/oliver-frontend:${IMAGE_TAG:-latest}
    container_name: oliver-frontend
    ports:
      - "5173:5173"
    # 同时通过 env_file 注入 VITE_*，又把 .env 挂进容器（vite dev/preview 两种都能用）
    env_file:
      - ./frontend/.env
    volumes:
      - ./frontend/.env:/app/frontend/.env:ro
    restart: unless-stopped
    depends_on:
      - backend