docker-compose-githubworkflow.yaml

# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements.  See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License.  You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied.  See the License for the
# specific language governing permissions and limitations
# under the License.
#

# Basic Airflow cluster configuration for CeleryExecutor with Redis and PostgreSQL.
#
# WARNING: This configuration is for local development. Do not use it in a production deployment.
#
# This configuration supports basic configuration using environment variables or an .env file
# The following variables are supported:
#
# AIRFLOW_IMAGE_NAME         - Docker image name used to run Airflow.
#                              Default: apache/airflow:master-python3.8
# AIRFLOW_UID                - User ID in Airflow containers
#                              Default: 50000
# AIRFLOW_GID                - Group ID in Airflow containers
#                              Default: 50000
# _AIRFLOW_WWW_USER_USERNAME - Username for the administrator account.
#                              Default: airflow
# _AIRFLOW_WWW_USER_PASSWORD - Password for the administrator account.
#                              Default: airflow
#
# Feel free to modify this file to suit your needs.
---
version: '3'
x-airflow-common:
  &airflow-common
  image: ${AIRFLOW_IMAGE_NAME:-apache/airflow:2.7.3}
  environment:
    &airflow-common-env
    AIRFLOW__CORE__EXECUTOR: CeleryExecutor
    AIRFLOW__DATABASE__SQL_ALCHEMY_CONN: postgresql+psycopg2://airflow:airflow@postgres/airflow
    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: 81HqDtbqAywKSOumSha3BhWNOdQ26slT6K0YaZeZyPs=
    AIRFLOW__CORE__DAGS_ARE_PAUSED_AT_CREATION: 'true'
    #Example Dags will not be loaded
    AIRFLOW__CORE__LOAD_EXAMPLES: 'false'
    AIRFLOW__WEBSERVER__RBAC: 'true'
    _AIRFLOW_DB_UPGRADE: 'true'
    _AIRFLOW_WWW_USER_CREATE: 'true'
    _AIRFLOW_WWW_USER_USERNAME: ${_AIRFLOW_WWW_USER_USERNAME:-airflow}
    _AIRFLOW_WWW_USER_PASSWORD: ${_AIRFLOW_WWW_USER_PASSWORD:-airflow}
    #AIRFLOW__CORE__LOGGING_LEVEL: 'Debug'
    _PIP_ADDITIONAL_REQUIREMENTS: 'td-client'
  volumes:
    - ./dags:/opt/airflow/dags
    - ./logs:/opt/airflow/logs
    - ./plugins:/opt/airflow/plugins
    - ./sql:/opt/airflow/sql
    - ./test:/opt/airflow/test
  #user: "${AIRFLOW_UID}:${AIRFLOW_GID}"
  depends_on:
    redis:
      condition: service_healthy
    postgres:
      condition: service_healthy

services:
  postgres:
    image: postgres:13
    environment:
      POSTGRES_USER: airflow
      POSTGRES_PASSWORD: airflow
      POSTGRES_DB: airflow
      POSTGRES_MULTIPLE_DATABASES: userdata
    volumes:
      - ./pg-init-scripts:/docker-entrypoint-initdb.d
      - postgres-db-volume:/var/lib/postgresql/data
    ports:
      - "5433:5432"
    healthcheck:
      test: ["CMD", "pg_isready", "-U", "airflow"]
      interval: 5s
      retries: 5
    restart: always

  redis:
    image: redis:latest
    ports:
      - 6379:6379
    healthcheck:
      test: ["CMD", "redis-cli", "ping"]
      interval: 5s
      timeout: 30s
      retries: 50
    restart: always

  airflow-webserver:
    <<: *airflow-common
    command: webserver
    ports:
      - 8080:8080
    healthcheck:
      test: ["CMD", "curl", "--fail", "http://localhost:8080/health"]
      interval: 10s
      timeout: 10s
      retries: 5
    restart: always

  airflow-scheduler:
    <<: *airflow-common
    command: scheduler
    restart: always

  airflow-worker:
    <<: *airflow-common
    command: celery worker
    container_name: airflow-worker
    restart: always

  # airflow-init-db:
  #   <<: *airflow-common
  #   environment:
  #     <<: *airflow-common-env
  #     _AIRFLOW_WWW_USER_USERNAME: ${_AIRFLOW_WWW_USER_USERNAME:-airflow}
  #     _AIRFLOW_WWW_USER_PASSWORD: ${_AIRFLOW_WWW_USER_PASSWORD:-airflow}
  #   command: airflow db init
  
  # airflow-init-user:
  #   <<: *airflow-common
  #   depends_on: 
  #     - airflow-init-db
  #   environment:
  #     <<: *airflow-common-env
  #     _AIRFLOW_WWW_USER_USERNAME: ${_AIRFLOW_WWW_USER_USERNAME:-airflow}
  #     _AIRFLOW_WWW_USER_PASSWORD: ${_AIRFLOW_WWW_USER_PASSWORD:-airflow}
  #   command: airflow users create --role Admin --username ${_AIRFLOW_WWW_USER_USERNAME:-airflow} --password ${_AIRFLOW_WWW_USER_PASSWORD:-airflow} --email airflow@airflow.com --firstname airflow --lastname airflow

  airflow-init:
    <<: *airflow-common
    environment:
      <<: *airflow-common-env
      _AIRFLOW_DB_UPGRADE: 'true'
      _AIRFLOW_WWW_USER_CREATE: 'true'
      _AIRFLOW_WWW_USER_USERNAME: ${_AIRFLOW_WWW_USER_USERNAME:-airflow}
      _AIRFLOW_WWW_USER_PASSWORD: ${_AIRFLOW_WWW_USER_PASSWORD:-airflow}
    command: bash -c "
        airflow connections add 'postgres_new' --conn-uri 'postgres://airflow:airflow@postgres:5432/airflow'"

  flower:
    <<: *airflow-common
    command: celery flower
    ports:
      - 5555:5555
    healthcheck:
      test: ["CMD", "curl", "--fail", "http://localhost:5555/"]
      interval: 10s
      timeout: 10s
      retries: 5
    restart: always

volumes:
  postgres-db-volume: