docker-compose.yaml

version: '3.8'

services:

  rabbitmq:
    image: rabbitmq:management
    hostname: rabbitmq
    restart: always
    ports:
      - 5672:5672
      - 15672:15672
    environment:
      RABBITMQ_DEFAULT_USER: ${RABBITMQ_USER}
      RABBITMQ_DEFAULT_PASS: ${RABBITMQ_PASS}
      RABBITMQ_SERVER_ADDITIONAL_ERL_ARGS: "-rabbit disk_free_limit 2147483648"
    env_file:
      - ./.env
    volumes:
      - rabbitmq_data:/var/lib/rabbitmq

  redis:
    image: redis
    hostname: ${REDIS_HOST}
    restart: always
    ports:
      - ${REDIS_PORT}:${REDIS_PORT}
    env_file:
      - ./.env
    volumes:
      - redis_data:/data

  api_worker:
    build:
      args:
        - SERVICE_NAME=api
    restart: always
    command: > 
      celery -A workers.celery worker --loglevel=info 
      --concurrency=${CELERY_CONCURRENCY}
    env_file:
      - ./.env
    depends_on:
      - redis

  flower:
    image: mher/flower
    ports:
      - ${FLOWER_PORT}:${FLOWER_PORT}
    environment:
      CELERY_BROKER_URL: redis://${REDIS_HOST}:${REDIS_PORT}/0
      CELERY_RESULT_BACKEND: redis://${REDIS_HOST}:${REDIS_PORT}/0
    env_file:
      - ./.env
    depends_on:
      - api_worker

  api:
    build:
      args:
        - SERVICE_NAME=api
    restart: always
    ports:
      - ${API_PORT}:${API_PORT}
    env_file:
      - ./.env
    depends_on:
      - api_worker

  consumer:
    build:
      args:
        - SERVICE_NAME=consumer
    restart: always
    env_file:
      - ./.env

  websocket:
    build:
      args:
        - SERVICE_NAME=ws
    restart: always
    ports:
      - ${WS_PORT}:${WS_PORT}
    env_file:
      - ./.env

volumes:
  rabbitmq_data:
  redis_data: