PYTHON_VERSION=3.9
AIRFLOW_VERSION=2.6.3
AIRFLOW_UID=1000
AIRFLOW_GID=0
AIRFLOW_FERNET_KEY=
AIRFLOW_WWW_USER_USERNAME=
AIRFLOW_WWW_USER_PASSWORD=
PIP_ADDITIONAL_REQUIREMENTS=airflow-code-editor==7.3.0 pandas requests apache-airflow-providers-mongo apache-airflow-providers-postgres

version: '3.9'

networks:
  airflow-network:
    driver: bridge

x-airflow-common:
  &airflow-common
  image: apache/airflow:${AIRFLOW_VERSION}-python${PYTHON_VERSION}
  environment:
    &airflow-common-env
    AIRFLOW__CORE__EXECUTOR: CeleryExecutor
    AIRFLOW__CORE__SQL_ALCHEMY_CONN: postgresql+psycopg2://airflow:airflow@postgres/airflow
    AIRFLOW__CELERY__RESULT_BACKEND: db+postgresql://airflow:airflow@postgres/airflow
    AIRFLOW__CELERY__BROKER_URL: redis://:@redis:6379/0
    AIRFLOW__CORE__FERNET_KEY: ${AIRFLOW_FERNET_KEY}
    AIRFLOW__CORE__DAGS_ARE_PAUSED_AT_CREATION: 'true'
    AIRFLOW__CORE__LOAD_EXAMPLES: 'false'
    AIRFLOW__API__AUTH_BACKEND: 'airflow.api.auth.backend.basic_auth'
    _PIP_ADDITIONAL_REQUIREMENTS: ${PIP_ADDITIONAL_REQUIREMENTS:-}
  volumes:
    - ./dags:/opt/airflow/dags
    - ./logs:/opt/airflow/logs
    - ./plugins:/opt/airflow/plugins
  user: "${AIRFLOW_UID:-50000}:${AIRFLOW_GID:-50000}"
  depends_on:
    postgres:
      condition: service_healthy

docker-compose up

from datetime import datetime, timedelta
from airflow import DAG
from airflow.operators.bash import BashOperator

default_args = {
  'owner': 'airflow',
  'depends_on_past': False,
  'start_date': datetime(2023, 5, 21),
  'email_on_failure': False,
  'email_on_retry': False,
  'retries': 1,
  'retry_delay': timedelta(minutes=5)
}

with DAG('first_dag', default_args=default_args, schedule_interval='@once') as dag:
  task1 = BashOperator(
      task_id='task1',
      bash_command='echo "Hello World!"'
  )

  task1