ParkVision/docker-compose.yml at main · Xylodex/ParkVision · GitHub

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services:
  mongodb:
    image: mongo:6.0
    container_name: parkvision-db
    ports:
      - "27017:27017"
    volumes:
      - mongo_data:/data/db

  backend:
    build: ./backend
    container_name: parkvision-backend
    ports:
      - "3001:3001"
    environment:
      - PORT=3001
      - MONGO_URI=mongodb://mongodb:27017/parkvision
      # Live-preview JPEGs written by the ai-engine container, served by backend at /preview/*.
      - PREVIEW_DIR=/preview-shared
    volumes:
      - preview_data:/preview-shared
      - floor_images:/app/public/floors
    depends_on:
      - mongodb

  frontend:
    build: ./frontend
    container_name: parkvision-frontend
    ports:
      - "5173:5173"
    environment:
      # Browser-side URL — must point at the host-exposed backend port.
      - VITE_BACKEND_URL=http://localhost:3001
    depends_on:
      - backend

  ai-engine:
    build: ./ai-engine
    container_name: parkvision-ai
    environment:
      - MONGO_URI=mongodb://mongodb:27017/parkvision
      # main.py / run.py read SERVER_URL (was BACKEND_URL — code never used that name).
      - SERVER_URL=http://backend:3001
      - PREVIEW_DIR=/preview-shared
    volumes:
      - preview_data:/preview-shared
    depends_on:
      - backend
      - mongodb
    # Requires NVIDIA Container Toolkit on the host. Comment out the deploy
    # block to run on CPU (paper §3.3.4 targets <35 ms YOLO; CPU runs ~140 ms).
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: 1
              capabilities: [gpu]

volumes:
  mongo_data:
  preview_data:
  floor_images: