docker-compose.yaml

# Licensed to the Apache Software Foundation (ASF) under one
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# distributed with this work for additional information
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# 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:2.10.2
# AIRFLOW_UID                  - User ID in Airflow containers
#                                Default: 50000
# AIRFLOW_PROJ_DIR             - Base path to which all the files will be volumed.
#                                Default: .
# Those configurations are useful mostly in case of standalone testing/running Airflow in test/try-out mode
#
# _AIRFLOW_WWW_USER_USERNAME   - Username for the administrator account (if requested).
#                                Default: airflow
# _AIRFLOW_WWW_USER_PASSWORD   - Password for the administrator account (if requested).
#                                Default: airflow
# _PIP_ADDITIONAL_REQUIREMENTS - Additional PIP requirements to add when starting all containers.
#                                Use this option ONLY for quick checks. Installing requirements at container
#                                startup is done EVERY TIME the service is started.
#                                A better way is to build a custom image or extend the official image
#                                as described in https://airflow.apache.org/docs/docker-stack/build.html.
#                                Default: ''
#
# Feel free to modify this file to suit your needs.
---
x-airflow-common:
  &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.
  image: ${AIRFLOW_IMAGE_NAME:-apache/airflow:2.10.2}
  # build: .
  environment:
    &airflow-common-env
    AIRFLOW__CORE__EXECUTOR: CeleryExecutor
    AIRFLOW__DATABASE__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'
    # yamllint disable rule:line-length
    # Use simple http server on scheduler for health checks
    # See https://airflow.apache.org/docs/apache-airflow/stable/administration-and-deployment/logging-monitoring/check-health.html#scheduler-health-check-server
    # yamllint enable rule:line-length
    AIRFLOW__SCHEDULER__ENABLE_HEALTH_CHECK: 'true'
    # WARNING: Use _PIP_ADDITIONAL_REQUIREMENTS option ONLY for a quick checks
    # for other purpose (development, test and especially production usage) build/extend Airflow image.
    _PIP_ADDITIONAL_REQUIREMENTS: ${_PIP_ADDITIONAL_REQUIREMENTS:- pandas}
    # The following line can be used to set a custom config file, stored in the local config folder
    # If you want to use it, outcomment it and replace airflow.cfg with the name of your config file
    # AIRFLOW_CONFIG: '/opt/airflow/config/airflow.cfg'
    AIRFLOW__CORE__XCOM_PICKLING : 'true'
  volumes:
    - ${AIRFLOW_PROJ_DIR:-.}/dags:/opt/airflow/dags
    - ${AIRFLOW_PROJ_DIR:-.}/logs:/opt/airflow/logs
    - ${AIRFLOW_PROJ_DIR:-.}/config:/opt/airflow/config
    - ${AIRFLOW_PROJ_DIR:-.}/plugins:/opt/airflow/plugins
    - ${AIRFLOW_PROJ_DIR:-.}/.env:/opt/airflow/.env
  user: "${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
  #   ports:
  #     - "5432"
  #   volumes:
  #     - postgres-db-volume:/var/lib/postgresql/data
  #   healthcheck:
  #     test: ["CMD", "pg_isready", "-U", "airflow"]
  #     interval: 10s
  #     retries: 5
  #     start_period: 5s
  #   restart: always
  #   networks:
  #     - app-network

  postgres-fastapi:
    image: postgres:13
    environment:
      POSTGRES_USER: airflow
      POSTGRES_PASSWORD: airflow
      POSTGRES_DB: airflow
    ports:
      - "5433:5432"
    volumes:
      - postgres-fastapi-db-volume:/var/lib/postgresql/data
    healthcheck:
      test: ["CMD", "pg_isready", "-U", "airflow"]
      interval: 10s
      retries: 5
      start_period: 5s
    restart: always
    networks:
      - app-network
  # redis:
  #   # Redis is limited to 7.2-bookworm due to licencing change
  #   # https://redis.io/blog/redis-adopts-dual-source-available-licensing/
  #   image: redis:7.2-bookworm
  #   expose:
  #     - 6379
  #   healthcheck:
  #     test: ["CMD", "redis-cli", "ping"]
  #     interval: 10s
  #     timeout: 30s
  #     retries: 50
  #     start_period: 30s
  #   restart: always

  # airflow-webserver:
  #   build: . 
  #   environment:
  #     - DATABASE_URL=${AIRFLOW_DATABASE_URL}
  #   <<: *airflow-common
  #   command: webserver
  #   ports:
  #     - "8080:8080"
  #   healthcheck:
  #     test: ["CMD", "curl", "--fail", "http://localhost:8080/health"]
  #     interval: 30s
  #     timeout: 10s
  #     retries: 5
  #     start_period: 30s
  #   restart: always
  #   depends_on:
  #     <<: *airflow-common-depends-on
  #     airflow-init:
  #       condition: service_completed_successfully
  #   env_file:
  #     - .env
  #   networks:
  #     - app-network

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

  # airflow-worker:
  #   <<: *airflow-common
  #   command: celery worker
  #   healthcheck:
  #     # yamllint disable rule:line-length
  #     test:
  #       - "CMD-SHELL"
  #       - 'celery --app airflow.providers.celery.executors.celery_executor.app inspect ping -d "celery@$${HOSTNAME}" || celery --app airflow.executors.celery_executor.app inspect ping -d "celery@$${HOSTNAME}"'
  #     interval: 30s
  #     timeout: 10s
  #     retries: 5
  #     start_period: 30s
  #   environment:
  #     <<: *airflow-common-env
  #     # 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
  #     redis:
  #       condition: service_healthy
  #     postgres:
  #       condition: service_healthy

  # airflow-triggerer:
  #   <<: *airflow-common
  #   command: triggerer
  #   healthcheck:
  #     test: ["CMD-SHELL", 'airflow jobs check --job-type TriggererJob --hostname "$${HOSTNAME}"']
  #     interval: 30s
  #     timeout: 10s
  #     retries: 5
  #     start_period: 30s
  #   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
  #     - |
  #       airflow db init &&
  #       airflow users create \
  #         --username airflow \
  #         --firstname Airflow \
  #         --lastname Admin \
  #         --role Admin \
  #         --email deepakgupta.neu@gmail.com \
  #         --password airflow
  #       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
  #   # yamllint enable rule:line-length
  #   environment:
  #     <<: *airflow-common-env
  #     _AIRFLOW_DB_MIGRATE: '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"
  #   volumes:
  #     - ${AIRFLOW_PROJ_DIR:-.}:/sources
  #   networks:
  #     - app-network
  #   depends_on:
  #     postgres:
  #       condition: service_healthy

  # 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
  #   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: celery flower
  #   profiles:
  #     - flower
  #   ports:
  #     - "5555:5555"
  #   healthcheck:
  #     test: ["CMD", "curl", "--fail", "http://localhost:5555/"]
  #     interval: 30s
  #     timeout: 10s
  #     retries: 5
  #     start_period: 30s
  #   restart: always
  #   depends_on:
  #     <<: *airflow-common-depends-on
  #     airflow-init:
  #       condition: service_completed_successfully
  
  # streamlit:
  #   build:
  #     context: ./streamlit
  #     dockerfile: Dockerfile
  #   ports:
  #     - "8501:8501"
  #   env_file:
  #     - .env 
  #   networks:
  #     - app-network
  #   depends_on:
  #     - fastapi
  #   restart: always

  fastapi:
    build:
      context: ./fastapi
      dockerfile: Dockerfile
    ports:
      - "8000:8000"
    env_file:
      - .env 
    networks:
      - app-network
    depends_on:
      postgres-fastapi:
        condition: service_healthy
    restart: always

networks:
  app-network:
    driver: bridge
  
volumes:
  postgres-db-volume:
  postgres-fastapi-db-volume: