A complete docker stack {postgres, pgadmin, redis, celery worker, celery beat, flower} for your python web application.

docker-python-backend-stack.yml

version: "3.9"

services:
  api:
    build: .
    restart: always
    container_name: api
    ports:
      - "3456:3456"
    volumes:
      - .:/api
    command: >
      sh -c "<command to run server>"
    env_file:
      - ./.env
    environment:
      ADMIN_DATABASE_URL: postgresql://${ADMIN_INITDB_ROOT_USERNAME}:${ADMIN_INITDB_ROOT_PASSWORD}@db/${ADMIN_INITDB_DATABASE}
    depends_on:
      redis:
        condition: service_started
      db:
        condition: service_healthy

  db:
    image: postgres:15.1-alpine
    container_name: db
    env_file:
      - ./.env
    volumes:
      - db-data:/var/lib/postgresql/data/
    ports:
      - "5435:5432"
    environment:
      POSTGRES_USER: ${ADMIN_INITDB_ROOT_USERNAME}
      POSTGRES_PASSWORD: ${ADMIN_INITDB_ROOT_PASSWORD}
      POSTGRES_DB: ${ADMIN_INITDB_DATABASE}
    healthcheck:
      test:
        [
          'CMD-SHELL',
          'pg_isready -U $$POSTGRES_USER -d $$POSTGRES_DB'
        ]
      interval: 10s
      timeout: 5s
      retries: 5

  pgadmin:
    image: dpage/pgadmin4
    container_name: db_admin
    restart: always
    environment:
      PGADMIN_DEFAULT_EMAIL: admin@root.com
      PGADMIN_DEFAULT_PASSWORD: admin
    ports:
      - "5050:80"
    volumes:
      - pgadmin-data:/var/lib/pgadmin

  redis:
    image: redis:7.0
    container_name: redis

  worker:
    build: .
    restart: always
    container_name: celery_worker
    volumes:
      - .:/api
    command: python -m celery -A config worker -l info
    env_file:
      - ./.env
    depends_on:
      redis:
        condition: service_started

  beat:
    build: .
    restart: always
    container_name: celery_beat
    volumes:
      - .:/api
    command: python -m celery -A config beat
    env_file:
      - ./.env
    depends_on:
      redis:
        condition: service_started

  flower:
    image: mher/flower:0.9.7
    container_name: celery_analytics
    command:
      [
        'flower',
        '--broker=redis://redis:6379',
        '--port=5555',
        '--basic_auth=${FLOWER_AUTH_USER}:${FLOWER_AUTH_PASSWORD}'
      ]
    ports:
      - "5555:5555"
    env_file:
      - ./.env
    depends_on:
      redis:
        condition: service_started

volumes:
  db-data:
  pgadmin-data:

In your root directory, create a file named .env and include the following environment variables:

ADMIN_INITDB_ROOT_USERNAME="user"
ADMIN_INITDB_ROOT_PASSWORD="password"
ADMIN_INITDB_DATABASE="db"
ADMIN_INITDB_DATABASE_HOST="db" # service name

FLOWER_AUTH_USER="abram" 
FLOWER_AUTH_PASSWORD="password"

Change the database root username, password, and database before using the environment variables. If you wish to change the database host, make sure to also update the service name in the YAML file. Do not forget to change the auth user and password for flower authentication. Good luck, and happy hacking! 🤓