version: '3'
x-airflow-common:
  # In order to add custom dependencies or upgrade provider packages you can use your extended image.
  # Comment the image line, place your Dockerfile in the directory where you placed the docker-compose.yaml
  # and uncomment the "build" line below, Then run `docker-compose build` to build the images.
  &airflow-common
  image: airflow_custom
  environment:
    &airflow-common-env
    AIRFLOW_HOME: /opt/airflow/
    TZ: Europe/Moscow
    AIRFLOW__CORE__EXECUTOR: CeleryExecutor
    AIRFLOW__DATABASE__SQL_ALCHEMY_CONN: postgresql+psycopg2://airflow:airflow@postgres/airflow
    # For backward compatibility, with Airflow <2.3
    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: 'false'
    AIRFLOW__CORE__LOAD_EXAMPLES: 'false'
    AIRFLOW__API__AUTH_BACKENDS: 'airflow.api.auth.backend.basic_auth,airflow.api.auth.backend.session'
    _PIP_ADDITIONAL_REQUIREMENTS: ${_PIP_ADDITIONAL_REQUIREMENTS:-}
    CONN_PARAMS_SHARED_DB: 'dbname=shared port=5432 host=postgres user=shared password=shared'
    LD_LIBRARY_PATH: /oracle/instantclient_21_10;/usr/lib/x86_64-linux-gnu/odbc
    BASE_FILEPATH: /ETL/ternETL/files
  volumes:
    - airflow_logs:/opt/airflow/logs
  user: "${AIRFLOW_UID:-50000}:0"
  depends_on:
    &airflow-common-depends-on
    redis:
      condition: service_healthy

services:
  etl:
    image: tern_etl
    env_file:
      - etl/django_env_vars.env
    command: /ETL/scripts_run/start_server
    networks:
      - services
    volumes:
      - django_logs:/ETL/logs
      - django_static:/ETL/ternETL/static
      - files:/ETL/ternETL/files
    restart: always
    depends_on:
      postgres:
        condition: service_healthy

  expert_system:
    image: expert_system
    environment:
      LD_LIBRARY_PATH: /oracle/instantclient_21_10;
    ports:
      - ':80'
    networks:
      - services
    depends_on:
      postgres:
        condition: service_healthy
    restart: always

  postgres:
    image: postgres_custom
    environment:
      - PGDATA=/var/lib/pgsql/data
      - POSTGRES_USER=postgres
      - POSTGRES_PASSWORD=123
      - POSTGRES_MULTIPLE_DATABASES=airflow,airflow,'airflow':django,django,'django':shared,shared,'shared':analytics,analytics,'analytics'
    healthcheck:
      test: ["CMD-SHELL", "pg_isready", "-d", "postgres"]
      interval: 10s
      timeout: 5s
      retries: 5
    ports:
      - "5488:5432"
    networks:
      - services
    volumes:
      - pg_custom_volume:/var/lib/pgsql/data
    depends_on:
      postgres-init:
        condition: service_completed_successfully
    restart: always

  postgres-init:
    image: postgres_custom
    environment:
      - PGDATA=/var/lib/pgsql/data
      - POSTGRES_USER=postgres
      - POSTGRES_PASSWORD=123
      - POSTGRES_MULTIPLE_DATABASES=airflow,airflow,'airflow':django,django,'django':shared,shared,'shared':analytics,analytics,'analytics'
    entrypoint: '/docker-entrypoint-initdb.d/create-multiple-postgresql-databases.sh'
    networks:
      - services
    volumes:
      - pg_custom_volume:/var/lib/pgsql/data

  frontend:
    image: nginx
    networks:
      - services
    ports:
      - "80:80"
    volumes:
      - django_static:/var/html/static
    depends_on:
      - etl
    restart: always

  neural_network:
    image: neural_network
    ports:
      - ":80"
    networks:
      - services
    restart: always

  neural_ocr:
    build: ./neural_OCR
    image: neural_ocr
    ports:
      - 1010
    volumes:
      - files:/data
    networks:
      - services
    restart: always

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

  airflow-webserver:
    <<: *airflow-common
    command: airflow webserver
    ports:
      - 4848:8080
    networks:
      - services
    healthcheck:
      test:
        [
          "CMD",
          "curl",
          "--fail",
          "http://localhost:8080/health"
        ]
      interval: 10s
      timeout: 10s
      retries: 5
    restart: always
    depends_on:
      <<: *airflow-common-depends-on
      airflow-init:
        condition: service_completed_successfully

  airflow-scheduler:
    <<: *airflow-common
    command: airflow scheduler
    networks:
      - services
    healthcheck:
      test:
        [
          "CMD-SHELL",
          'airflow jobs check --job-type SchedulerJob --hostname "$${HOSTNAME}"'
        ]
      interval: 10s
      timeout: 10s
      retries: 5
    restart: always
    depends_on:
      <<: *airflow-common-depends-on
      airflow-init:
        condition: service_completed_successfully

  airflow-worker:
    <<: *airflow-common
    command: airflow celery worker --pid
    networks:
      - services
    healthcheck:
      test:
        - "CMD-SHELL"
        - 'celery --app airflow.executors.celery_executor.app inspect ping -d "celery@$${HOSTNAME}"'
      interval: 10s
      timeout: 10s
      retries: 5
    environment:
      <<: *airflow-common-env
      # Required to handle warm shutdown of the celery workers properly
      # See https://airflow.apache.org/docs/docker-stack/entrypoint.html#signal-propagation
      DUMB_INIT_SETSID: "0"
    restart: always
    depends_on:
      <<: *airflow-common-depends-on
      airflow-init:
        condition: service_completed_successfully

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

  airflow-init:
    <<: *airflow-common
    entrypoint: /bin/bash
    # yamllint disable rule:line-length
    command:
      - -c
      - |
        function ver() {
          printf "%04d%04d%04d%04d" $${1//./ }
        }
        airflow_version=$$(AIRFLOW__LOGGING__LOGGING_LEVEL=INFO && 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}
        chown -R airflow /opt/airflow
        airflow db init
        airflow users create \
                      --username airflow \
                      --password airflow \
                      --firstname airflow \
                      --lastname airflow \
                      --role Admin \
                      --email airflow@airflow.org
        # exec /entrypoint airflow version
    # yamllint enable rule:line-length
    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"
    depends_on:
      postgres:
        condition: service_healthy
    networks:
      - services

  airflow-cli:
    <<: *airflow-common
    profiles:
      - debug
    environment:
      <<: *airflow-common-env
      CONNECTION_CHECK_MAX_COUNT: "0"
    # Workaround for entrypoint issue. See: https://github.com/apache/airflow/issues/16252
    networks:
      - services
    command:
      - bash
      - -c
      - airflow

  # You can enable flower by adding "--profile flower" option e.g. docker-compose --profile flower up
  # or by explicitly targeted on the command line e.g. docker-compose up flower.
  # See: https://docs.docker.com/compose/profiles/
  flower:
    <<: *airflow-common
    command: airflow celery flower
    profiles:
      - flower
    ports:
      - :5555
    networks:
      - services
    healthcheck:
      test: [ "CMD", "curl", "--fail", "http://localhost:5555/" ]
      interval: 10s
      timeout: 10s
      retries: 5
    restart: always
    depends_on:
      <<: *airflow-common-depends-on
      airflow-init:
        condition: service_completed_successfully

volumes:
  pg_custom_volume:
    name: etl_pg_custom_volume
  django_logs:
    name: etl_django_logs
  django_static:
    name: etl_django_static
  airflow_logs:
    name: etl_airflow_logs
  files:
    name: etl_files

networks:
  services:
    name: etl_services_full
