services:
  api:
    build: .
    ports:
      - "8000:8000"
    volumes:
      # Model artifacts are built by the training run, not baked into the image.
      - ./models:/app/models:ro
    healthcheck:
      test: ["CMD", "python", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:8000/health')"]
      interval: 10s
      timeout: 5s
      retries: 6
      start_period: 20s

  dashboard:
    build: .
    command: >
      streamlit run app/dashboard.py
      --server.port 8501
      --server.address 0.0.0.0
      --server.headless true
    ports:
      - "8501:8501"
    environment:
      API_URL: http://api:8000
    volumes:
      - ./models:/app/models:ro
      - ./data:/app/data:ro
      - ./reports:/app/reports:ro
    depends_on:
      api:
        condition: service_healthy