spam-detector/docker-compose.yaml

networks:
  spam-detector-internal:
    driver: bridge
  rabbitmq:
    external: true


services:

  decision-maker:
    build: ./
    container_name: spam-detector-decision-maker
    environment:
      - PORT=${PORT:-8080}
      - TOKEN=token12345
      - RABBITMQ_HOST=${RABBITMQ_HOST}
      - RABBITMQ_PORT=${RABBITMQ_PORT:-5672}
      - RABBITMQ_USER=${RABBITMQ_USER}
      - RABBITMQ_PASS=${RABBITMQ_PASS}
      - RABBITMQ_QUEUE=${RABBITMQ_QUEUE}
    entrypoint: [ "python", "-m", "src.app", "-m" ]
    volumes:
      - type: bind
        source: $DATASET
        target: /app/dataset.csv
      - ${MODELS_DIR}:/app/models
    restart: always
    ports:
      - "8080:${PORT:-8080}"
    networks:
      - spam-detector-internal
      - rabbitmq

  model-updater:
    build: ./
    container_name: spam-detector-model-updater
    environment:
      - WEB_API_URL=http://spam-detector-decision-maker:${PORT:-8080}
      - TOKEN=token12345
      - RABBITMQ_HOST=${RABBITMQ_HOST}
      - RABBITMQ_PORT=${RABBITMQ_PORT:-5672}
      - RABBITMQ_USER=${RABBITMQ_USER}
      - RABBITMQ_PASS=${RABBITMQ_PASS}
      - RABBITMQ_QUEUE=${RABBITMQ_QUEUE}
    entrypoint: [ "python", "-m", "src.app", "-u", "-d", "/app/dataset.csv" ]
#    entrypoint: [ "bash", "-c", "while true; do sleep 1; done" ]
    volumes:
      - type: bind
        source: $DATASET
        target: /app/dataset.csv
      - ${MODELS_DIR}:/app/models/
    networks:
      - spam-detector-internal
      - rabbitmq