docker-compose.yml

version: '3.3'

x-airflow-common:
  &airflow-common
  build:
    context: .
    dockerfile: ./docker/airflow/Dockerfile
  environment:
    &airflow-common-env
    AIRFLOW__CORE__EXECUTOR: CeleryExecutor
    AIRFLOW__CORE__SQL_ALCHEMY_CONN: postgresql+psycopg2://${POSTGRES_USER}:${POSTGRES_PASSWORD}@postgres/${POSTGRES_DATABASE_AIRFLOW}
    AIRFLOW__CELERY__RESULT_BACKEND: db+postgresql://${POSTGRES_USER}:${POSTGRES_PASSWORD}@postgres/${POSTGRES_DATABASE_AIRFLOW}
    AIRFLOW__CELERY__BROKER_URL: redis://:@redis:6379/0 # redis://username:password@host:port/db
    AIRFLOW__CORE__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'
    AIRFLOW__CORE__ENABLE_XCOM_PICKLING: 'true'
    PYTHONPATH: '/opt/airflow'
  volumes:
    - ./dags:/opt/airflow/dags
    - ./logs:/opt/airflow/logs
    - ./scripts:/opt/airflow/scripts
    - ${DATA_PATH}:/opt/airflow/data
    - ./output:/opt/airflow/output
    - ./models:/opt/airflow/models
    - ./src:/opt/airflow/src
    - ./great_expectations:/opt/airflow/great_expectations
  user: "${AIRFLOW_UID}:0"
  depends_on:
    redis:
      condition: service_healthy
    postgres:
      condition: service_healthy


services:

  influxdb:
    image: influxdb:1.8
    container_name: aura-influxdb
    ports:
      - '${INFLUXDB_PORT}:8086'
    volumes:
      - influxdb-storage:/var/lib/influxdb
    environment:
      - INFLUXDB_DB=${INFLUXDB_DATABASE}
      - INFLUXDB_ADMIN_USER=${INFLUXDB_USERNAME}
      - INFLUXDB_ADMIN_PASSWORD=${INFLUXDB_PASSWORD}

  postgres:
    image: postgres:11
    container_name: aura-postgresql
    ports:
      - '${POSTGRES_PORT}:5432'
    volumes:
      - postgres-storage:/var/lib/postgresql/data
      - ./scripts/create_multiple_databases.sh:/docker-entrypoint-initdb.d/create_multiple_databases.sh
    environment:
      POSTGRES_USER: ${POSTGRES_USER}
      POSTGRES_PASSWORD: ${POSTGRES_PASSWORD}
      POSTGRES_MULTIPLE_DATABASES: ${POSTGRES_DATABASE_AIRFLOW},${POSTGRES_DATABASE_GRAFANA},${POSTGRES_DATABASE_MLFLOW}
    healthcheck:
      test: ["CMD", "pg_isready", "-U", "airflow"]
      interval: 5s
      retries: 5
    restart: always

  grafana:
    image: grafana/grafana:7.3.4
    container_name: aura-grafana
    restart : on-failure
    ports:
      - '${GRAFANA_PORT}:3000'
    volumes:
      - grafana-storage:/var/lib/grafana
      - ./conf/provisioning:/etc/grafana/provisioning
      - ./conf/grafana.ini:/etc/grafana/grafana.ini
    depends_on:
      - influxdb
      - postgres
    environment:
      - GF_SECURITY_ADMIN_USER=${GRAFANA_USERNAME}
      - GF_SECURITY_ADMIN_PASSWORD=${GRAFANA_PASSWORD}
      - GF_DATABASE_TYPE=postgres
      - GF_DATABASE_HOST=postgres:5432
      - GF_DATABASE_NAME=${POSTGRES_DATABASE_GRAFANA}
      - GF_DATABASE_USER=${POSTGRES_USER}
      - GF_DATABASE_PASSWORD=${POSTGRES_PASSWORD}
      - GF_INSTALL_PLUGINS=ae3e-plotly-panel # v0.4.0
  
  redis:
    image: redis:6.2.5
    container_name: aura-redis
    ports:
      - '${REDIS_PORT}:6379'
    healthcheck:
      test: ["CMD", "redis-cli", "ping"]
      interval: 5s
      timeout: 30s
      retries: 50
    restart: always

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

  airflow-scheduler:
    <<: *airflow-common
    container_name: aura-airflow-scheduler
    command: scheduler
    healthcheck:
      test: ["CMD-SHELL", 'airflow jobs check --job-type SchedulerJob --hostname "$${HOSTNAME}"']
      interval: 10s
      timeout: 10s
      retries: 5
    restart: always

  airflow-worker:
    <<: *airflow-common
    container_name: aura-airflow-worker
    command: celery worker
    healthcheck:
      test:
        - "CMD-SHELL"
        - 'celery --app airflow.executors.celery_executor.app inspect ping -d "celery@$${HOSTNAME}"'
      interval: 10s
      timeout: 10s
      retries: 5
    restart: always

  airflow-init:
    <<: *airflow-common
    container_name: aura-airflow-init
    entrypoint: /bin/bash
    command:
      - -c
      - |
        function ver() {
          printf "%04d%04d%04d%04d" $${1//./ }
        }
        airflow_version=$$(gosu airflow airflow version)
        airflow_version_comparable=$$(ver $${airflow_version})
        min_airflow_version=2.1.0
        min_airlfow_version_comparable=$$(ver $${min_airflow_version})
        if (( airflow_version_comparable < min_airlfow_version_comparable )); then
          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!"
          exit 1
        fi
        if [[ -z "${AIRFLOW_UID}" ]]; then
          echo -e "\033[1;31mERROR!!!: AIRFLOW_UID not set!\e[0m"
          echo "Please follow these instructions to set AIRFLOW_UID and AIRFLOW_GID environment variables:
            https://airflow.apache.org/docs/apache-airflow/stable/start/docker.html#initializing-environment"
          exit 1
        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 -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)))"
          warning_resources="true"
        fi
        if (( cpus_available < 2 )); then
          echo -e "\033[1;33mWARNING!!!: Not enough CPUS available for Docker.\e[0m"
          echo "At least 2 CPUs recommended. You have $${cpus_available}"
          warning_resources="true"
        fi
        if (( disk_available < one_meg * 10 )); then
          echo -e "\033[1;33mWARNING!!!: Not enough Disk space available for Docker.\e[0m"
          echo "At least 10 GBs recommended. You have $$(numfmt --to iec $$((disk_available * 1024 )))"
          warning_resources="true"
        fi
        if [[ $${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/start/docker.html#before-you-begin"
        fi
        chown -R "${AIRFLOW_UID}:${AIRFLOW_GID}" /sources/{logs,dags}
        exec /entrypoint airflow version
    environment:
      <<: *airflow-common-env
      _AIRFLOW_DB_UPGRADE: 'true'
      _AIRFLOW_WWW_USER_CREATE: 'true'
      _AIRFLOW_WWW_USER_USERNAME: admin
      _AIRFLOW_WWW_USER_PASSWORD: admin
    user: "0:0"
    volumes:
      - .:/sources

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

  mlflow:
    build: 
      context: ./docker/mlflow
      dockerfile: Dockerfile
    container_name: aura-mlflow
    depends_on: 
      - postgres
    restart: on-failure
    command: mlflow server --host 0.0.0.0 --backend-store-uri postgresql+psycopg2://${POSTGRES_USER}:${POSTGRES_PASSWORD}@postgres:5432/${POSTGRES_DATABASE_MLFLOW} --default-artifact-root ./mlruns
    ports: 
      - '${MLFLOW_PORT}:5000'
    volumes: 
      - ./mlruns:/mlruns

  ge_data_docs:
    image: flashspys/nginx-static
    container_name: aura-ge-data-docs
    ports:
      - '${GE_PORT}:80'
    volumes: 
      - ./great_expectations/uncommitted/data_docs/local_site:/static

volumes:
  influxdb-storage:
  grafana-storage:
  postgres-storage: