docker-compose.yml

version: '3.8'

services:
  web-app:
    build:
      context: ./web-app
      dockerfile: Dockerfile
    ports:
      - "5005:5000" 
    depends_on:
      - machine-learning-client
      - mongodb
    volumes:
      - ./web-app:/app
    environment:
      - ML_CLIENT_URL=http://machine-learning-client:5000  
      - MONGO_URI=mongodb://mongodb:27017  
      - FLASK_ENV=development

  nginx: 
        image: nginx:latest
        volumes:
        - ./nginx/nginx.conf:/etc/nginx/nginx.conf:ro
        depends_on:
        - web-app
        ports:
        - "80:80"

  machine-learning-client:
    build:
      context: ./machine-learning-client
      dockerfile: Dockerfile
    ports:
      - "5006:5000" 
    depends_on:
      - mongodb
    volumes:
      - ./machine-learning-client:/app
    environment:
      - MONGO_URI=mongodb://mongodb:27017  
      - INFERENCE_SERVER_URL=https://detect.roboflow.com 
      - ROBOFLOW_API_KEY=ogLxH2CgV5m0vTm5ZCii  
      - ROBOFLOW_MODEL_ID=rock-paper-scissors-sxsw/14  

  mongodb:
    image: mongo
    container_name: mongodb
    restart: always
    ports:
      - "27017:27017"  
    volumes:
      - mongodb_data:/data/db 

volumes:
  mongodb_data: