dev.docker-compose.yml

version: '3.8'


x-airflow-common:
  &airflow-common
  build: 
    context: ./backend/airflow
  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: ''
    AIRFLOW__CORE__DAGS_ARE_PAUSED_AT_CREATION: 'true'
    AIRFLOW__CORE__LOAD_EXAMPLES: 'false'
    AIRFLOW__API__AUTH_BACKENDS: 'airflow.api.auth.backend.basic_auth,airflow.api.auth.backend.session'
    AIRFLOW__SCHEDULER__ENABLE_HEALTH_CHECK: 'true'
    _PIP_ADDITIONAL_REQUIREMENTS: ${_PIP_ADDITIONAL_REQUIREMENTS:-}
  volumes:
    - ${AIRFLOW_PROJ_DIR:-./backend/airflow/}/dags:/opt/airflow/dags
    - ${AIRFLOW_PROJ_DIR:-./backend/airflow/}/logs:/opt/airflow/logs
    - ${AIRFLOW_PROJ_DIR:-./backend/airflow/}/config:/opt/airflow/config
    - ${AIRFLOW_PROJ_DIR:-./backend/airflow/}/plugins:/opt/airflow/plugins
    - ./backend/airflow:/app
  user: "${AIRFLOW_UID:-50000}:0"
  depends_on:
    &airflow-common-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
    volumes:
      - postgres-db-volume:/var/lib/postgresql/data
    healthcheck:
      test: [ "CMD", "pg_isready", "-U", "airflow" ]
      interval: 10s
      retries: 5
      start_period: 5s    
    networks:
      - physio

  redis:
    image: redis:latest
    container_name: redis
    expose:
      - 6379
    healthcheck:
      test: [ "CMD", "redis-cli", "ping" ]
      interval: 10s
      timeout: 30s
      retries: 50
      start_period: 30s    
    networks:
      - physio

  airflow-webserver:
    <<: *airflow-common
    command: webserver
    container_name: airflow-webserver
    ports:
      - "8080:8080"
    healthcheck:
      test:
        [
          "CMD",
          "curl",
          "--fail",
          "http://localhost:8080/health"
        ]
      interval: 30s
      timeout: 10s
      retries: 5
      start_period: 30s    
    networks:
      - physio
    depends_on:
      <<: *airflow-common-depends-on
      airflow-init:
        condition: service_completed_successfully

  airflow-scheduler:
    <<: *airflow-common
    command: scheduler
    container_name: airflow-scheduler
    healthcheck:
      test:
        [
          "CMD",
          "curl",
          "--fail",
          "http://localhost:8974/health"
        ]
      interval: 30s
      timeout: 10s
      retries: 5
      start_period: 30s    
    networks:
      - physio
    depends_on:
      <<: *airflow-common-depends-on
      airflow-init:
        condition: service_completed_successfully

  airflow-worker:
    <<: *airflow-common
    command: celery worker
    container_name: airflow-worker
    healthcheck:
      test:
        - "CMD-SHELL"
        - 'celery --app airflow.executors.celery_executor.app inspect ping -d "celery@$${HOSTNAME}"'
      interval: 30s
      timeout: 10s
      retries: 5
      start_period: 30s
    environment:
      <<: *airflow-common-env
      DUMB_INIT_SETSID: "0"    
    networks:
      - physio
    depends_on:
      <<: *airflow-common-depends-on
      airflow-init:
        condition: service_completed_successfully

  airflow-triggerer:
    <<: *airflow-common
    command: triggerer
    container_name: airflow-triggerer
    healthcheck:
      test:
        [
          "CMD-SHELL",
          'airflow jobs check --job-type TriggererJob --hostname "$${HOSTNAME}"'
        ]
      interval: 30s
      timeout: 10s
      retries: 5
      start_period: 30s    
    networks:
      - physio
    depends_on:
      <<: *airflow-common-depends-on
      airflow-init:
        condition: service_completed_successfully

  airflow-init:
    <<: *airflow-common
    entrypoint: /bin/bash
    container_name: airflow-init
    command:
      - -c
      - |
        function ver() {
          printf "%04d%04d%04d%04d" $${1//./ }
        }
        airflow_version=$$(AIRFLOW__LOGGING__LOGGING_LEVEL=INFO && gosu airflow airflow version)
        airflow_version_comparable=$$(ver $${airflow_version})
        min_airflow_version=2.2.0
        min_airflow_version_comparable=$$(ver $${min_airflow_version})
        if (( airflow_version_comparable < min_airflow_version_comparable )); then
          echo
          echo -e "\033[1;31mERROR!!!: Too old Airflow version $${airflow_version}!\e[0m"
          echo "The minimum Airflow version supported: $${min_airflow_version}. Only use this or higher!"
          echo
          exit 1
        fi
        if [[ -z "${AIRFLOW_UID}" ]]; then
          echo
          echo -e "\033[1;33mWARNING!!!: AIRFLOW_UID not set!\e[0m"
          echo "If you are on Linux, you SHOULD follow the instructions below to set "
          echo "AIRFLOW_UID environment variable, otherwise files will be owned by root."
          echo "For other operating systems you can get rid of the warning with manually created .env file:"
          echo "    See: https://airflow.apache.org/docs/apache-airflow/stable/howto/docker-compose/index.html#setting-the-right-airflow-user"
          echo
        fi
        one_meg=1048576
        mem_available=$$(($$(getconf _PHYS_PAGES) * $$(getconf PAGE_SIZE) / one_meg))
        cpus_available=$$(grep -cE 'cpu[0-9]+' /proc/stat)
        disk_available=$$(df / | tail -1 | awk '{print $$4}')
        warning_resources="false"
        if (( mem_available < 4000 )) ; then
          echo
          echo -e "\033[1;33mWARNING!!!: Not enough memory available for Docker.\e[0m"
          echo "At least 4GB of memory required. You have $$(numfmt --to iec $$((mem_available * one_meg)))"
          echo
          warning_resources="true"
        fi
        if (( cpus_available < 2 )); then
          echo
          echo -e "\033[1;33mWARNING!!!: Not enough CPUS available for Docker.\e[0m"
          echo "At least 2 CPUs recommended. You have $${cpus_available}"
          echo
          warning_resources="true"
        fi
        if (( disk_available < one_meg * 10 )); then
          echo
          echo -e "\033[1;33mWARNING!!!: Not enough Disk space available for Docker.\e[0m"
          echo "At least 10 GBs recommended. You have $$(numfmt --to iec $$((disk_available * 1024 )))"
          echo
          warning_resources="true"
        fi
        if [[ $${warning_resources} == "true" ]]; then
          echo
          echo -e "\033[1;33mWARNING!!!: You have not enough resources to run Airflow (see above)!\e[0m"
          echo "Please follow the instructions to increase amount of resources available:"
          echo "   https://airflow.apache.org/docs/apache-airflow/stable/howto/docker-compose/index.html#before-you-begin"
          echo
        fi
        mkdir -p /sources/logs /sources/dags /sources/plugins
        chown -R "${AIRFLOW_UID}:0" /sources/{logs,dags,plugins}
        exec /entrypoint airflow version
    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}
      _PIP_ADDITIONAL_REQUIREMENTS: ''
    user: "0:0"    
    networks:
      - physio
    volumes:
      - ${AIRFLOW_PROJ_DIR:-./backend/airflow/}:/sources

  airflow-cli:
    <<: *airflow-common
    profiles:
      - debug
    container_name: airflow-cli
    environment:
      <<: *airflow-common-env
      CONNECTION_CHECK_MAX_COUNT: "0"    
    networks:
      - physio
    command:
      - bash
      - -c
      - airflow

  flower:
    <<: *airflow-common
    command: celery flower
    profiles:
      - flower
    container_name: flower
    ports:
      - "5555:5555"
    healthcheck:
      test: [ "CMD", "curl", "--fail", "http://localhost:5555/" ]
      interval: 30s
      timeout: 10s
      retries: 5
      start_period: 30s    
    networks:
      - physio
    depends_on:
      <<: *airflow-common-depends-on
      airflow-init:
        condition: service_completed_successfully

  flask:
    environment:
      - PYTHONUNBUFFERED=1
    build:
      context: ./backend/flask
      dockerfile: dev.Dockerfile
    container_name: flask
    ports:
      - "39873:39873"    
    networks:
      - physio    
    volumes:
      - ./backend/flask:/app
  
  react:
    build:
      context: ./frontend
      dockerfile: dev.Dockerfile
    depends_on:
      - flask      
    container_name: react
    ports:
      - "3000:3000"         
    networks:
      - physio
    volumes:
      - ./frontend/src:/app/src/
      - ./frontend/public:/app/public/

volumes:
  postgres-db-volume:

networks:
  physio:
    driver: bridge