github-anomaly-project/docker-compose.yaml at main · rajat116/github-anomaly-project · GitHub

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version: '3.8'

services:
  postgres:
    image: postgres:13
    environment:
      POSTGRES_USER: airflow
      POSTGRES_PASSWORD: airflow
      POSTGRES_DB: airflow
    volumes:
      - postgres-db-volume:/var/lib/postgresql/data

  airflow-webserver:
    build: .
    depends_on:
      - postgres
      - mlflow-server
    environment:
      AIRFLOW__CORE__EXECUTOR: LocalExecutor
      AIRFLOW__CORE__SQL_ALCHEMY_CONN: postgresql+psycopg2://airflow:airflow@postgres/airflow
      AIRFLOW__WEBSERVER__DEFAULT_UI_TIMEZONE: UTC
      AIRFLOW__CORE__LOAD_EXAMPLES: 'False'
      PYTHONPATH: /opt/airflow:/opt/airflow/github_pipeline:/opt/airflow/alerts
    env_file:
      - .env
    volumes:
      - ./dags:/opt/airflow/dags
      - ./github_pipeline:/opt/airflow/github_pipeline
      - ./alerts:/opt/airflow/alerts
      - ./reports:/opt/airflow/reports
      - ./data:/opt/airflow/data
      - ./models:/opt/airflow/models
      - ./logs:/opt/airflow/logs
      - ./mlruns:/mlruns
    ports:
      - "8080:8080"
    command: >
      bash -c "
        airflow db migrate &&
        airflow users create --username admin --password admin --firstname Admin --lastname User --role Admin --email admin@example.com &&
        airflow webserver"

  airflow-scheduler:
    build: .
    depends_on:
      - postgres
      - mlflow-server
    environment:
      AIRFLOW__CORE__EXECUTOR: LocalExecutor
      AIRFLOW__CORE__SQL_ALCHEMY_CONN: postgresql+psycopg2://airflow:airflow@postgres/airflow
      PYTHONPATH: /opt/airflow:/opt/airflow/github_pipeline:/opt/airflow/alerts
    env_file:
      - .env
    volumes:
      - ./dags:/opt/airflow/dags
      - ./github_pipeline:/opt/airflow/github_pipeline
      - ./alerts:/opt/airflow/alerts
      - ./reports:/opt/airflow/reports
      - ./data:/opt/airflow/data
      - ./models:/opt/airflow/models
      - ./logs:/opt/airflow/logs
      - ./mlruns:/mlruns
    command: airflow scheduler

  mlflow-server:
    image: ghcr.io/mlflow/mlflow:latest
    environment:
      - MLFLOW_BACKEND_STORE_URI=sqlite:///mlflow/mlflow.db
      - MLFLOW_DEFAULT_ARTIFACT_ROOT=/mlruns/artifacts
    volumes:
      - ./mlruns:/mlruns
    ports:
      - "5000:5000"
    command: mlflow server --backend-store-uri sqlite:///mlruns/mlflow.db --default-artifact-root /mlruns/artifacts --host 0.0.0.0 --port 5000

volumes:
  postgres-db-volume: