docker-compose.yml

services:
  vectorizer:
    # Use the Dockerfile in the current directory to build the image
    build: .
    # Map port 8000 on the host to port 8000 inside the container
    ports:
      - "8000:8000"
    # Restart the container automatically if it fails
    restart: always
    # Set the container name for easier identification
    container_name: vectorizer_api
    # Health check to ensure the service is ready
    healthcheck:
      test: ["CMD", "python", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:8000/healthz')"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 60s
    # You can specify resource limits to prevent the API from consuming too many resources
    # This is a good practice for production deployments
    # deploy:
    #   resources:
    #     limits:
    #       cpus: '2'
    #       memory: 8G