local.docker-compose.yaml

version: '3.8'

services:
  api:
    image: piotrgramacki/sma-backend:0.16
    ports:
      - 4000:80
    env_file:
      - env_files/twitter_credentials.env
      - env_files/celery.env
    environment:
      - MAX_WORKERS=1
    volumes:
      - ./backend_service/app/:/app/

  tweets-worker:
    image: piotrgramacki/sma-celery:tweets
    command: [celery, --app=tweets.app, worker, --loglevel=DEBUG, -Q, tweets]
    env_file:
      - env_files/celery.env
    environment:
      - TWEETS_LIMIT=500
    depends_on:
      - redis
    volumes:
      - ./celery_service/app:/app/

  embedding-worker:
    image: piotrgramacki/sma-celery:processing
    command: [celery, --app=embedding.app, worker, --pool=solo, --loglevel=DEBUG, -Q, embedding]
    env_file:
      - env_files/celery.env
    depends_on:
      - redis
    volumes:
    - ./celery_service/app:/app/

  processing-worker:
    image: piotrgramacki/sma-celery:processing
    command: [celery, --app=processing.app, worker, --loglevel=DEBUG, -Q, processing]
    env_file:
      - env_files/celery.env
    depends_on:
      - redis
    volumes:
    - ./celery_service/app:/app/

  cleaning-worker:
    image: piotrgramacki/sma-celery:processing
    command: [celery, --app=cleaning.app, worker, --loglevel=DEBUG, -Q, cleaning]
    env_file:
      - env_files/celery.env
    depends_on:
      - redis
      - krnnt
    volumes:
      - ./celery_service/app:/app/

  krnnt:
    image: djstrong/krnnt:1.0.0

  redis:
    image: redis:6.0.10