dota_predict/docker-compose.yml at main · averagepythonfan/dota_predict · GitHub

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version: "3.3"

services:
  postgres_server:
    image: postgres:alpine3.17
    container_name: postgres_server
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U ${POSTGRES_USER} -d monolith"]
      interval: 1m30s
      timeout: 10s
      retries: 3
      start_period: 40s
    environment:
      POSTGRES_PASSWORD: ${POSTGRES_PASSWORD}
      POSTGRES_USER: ${POSTGRES_USER}
      POSTGRES_DB: monolith
      PGDATA: /var/lib/postgresql/data/pgdata
    volumes:
      - .:/var/lib/postgresql/data
  monolith_server:
    image: monolith:v1.2
    container_name: monolith_container
    environment:
      POSTGRES_USER: ${POSTGRES_USER}
      POSTGRES_PASSWORD: ${POSTGRES_PASSWORD}
      POSTGRES_HOST: postgres_server
      POSTGRES_PORT: ${POSTGRES_PORT}
      POSTGRES_DB: monolith
      REDIS: redis
      TOKEN: ${TOKEN}
      ADMIN: ${ADMIN}
    depends_on:
      - postgres_server
    ports:
      - "9090:9090"
    volumes:
      - ./monolith:/app
    entrypoint: python3 main.py
  pgadmin:
    container_name: pgadmin4_container_tf
    image: dpage/pgadmin4:latest
    restart: always
    environment:
      PGADMIN_DEFAULT_EMAIL: ${PGADMIN_DEFAULT_EMAIL}
      PGADMIN_DEFAULT_PASSWORD: ${PGADMIN_DEFAULT_PASSWORD}
      PGADMIN_CONFIG_CONSOLE_LOG_LEVEL: 10
    volumes:
      - tf_dota_pred:/var/lib/pgadmin
    depends_on:
      - postgres_server
    ports:
      - "6060:80"
  mlflow_db:
    restart: always
    image: postgres:alpine3.17
    container_name: mlflow_db
    expose:
      - "${POSTGRES_PORT}"
    environment:
      POSTGRES_USER: ${POSTGRES_USER}
      POSTGRES_PASSWORD: ${POSTGRES_PASSWORD}
      POSTGRES_DB: mlflowdb
      PGDATA: /var/lib/postgresql/data/pgdata
    volumes:
      - ./mlflow/pgdata:/var/lib/postgresql/data
    healthcheck:
      test: ["CMD", "pg_isready", "-p", "${POSTGRES_PORT}", "-U", "${POSTGRES_USER}"]
      interval: 5s
      timeout: 5s
      retries: 3
  s3:
    restart: always
    image: minio/minio:latest
    container_name: mlflow_minio
    volumes:
      - ./minio:/data
    ports:
      - "${MINIO_PORT}:9000"
      - "${MINIO_CONSOLE_PORT}:9001"
    environment:
      - MINIO_ROOT_USER=${MINIO_ROOT_USER}
      - MINIO_ROOT_PASSWORD=${MINIO_ROOT_PASSWORD}
      - MINIO_ADDRESS=${MINIO_ADDRESS}
      - MINIO_PORT=${MINIO_PORT}
      - MINIO_STORAGE_USE_HTTPS=${MINIO_STORAGE_USE_HTTPS}
      - MINIO_CONSOLE_ADDRESS=${MINIO_CONSOLE_ADDRESS}
    command: server /data
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:9000/minio/health/live"]
      interval: 30s
      timeout: 20s
      retries: 3
  create_buckets:
    image: minio/mc:latest
    container_name: mlflow_create_buckets
    depends_on:
      - s3
    entrypoint: >
      /bin/sh -c '
      sleep 5;
      /usr/bin/mc config host add s3 http://s3:${MINIO_PORT} ${MINIO_ACCESS_KEY} ${MINIO_SECRET_ACCESS_KEY} --api S3v4;
      [[ ! -z "`/usr/bin/mc ls s3 | grep challenge`" ]] || /usr/bin/mc mb s3/${MLFLOW_BUCKET_NAME};
      /usr/bin/mc policy download s3/${MLFLOW_BUCKET_NAME};
      exit 0;
      '
  tracking_server:
    restart: always
    build:
      context: .
      dockerfile: docker/mlflow.Dockerfile
    container_name: mlflow_server
    depends_on:
      - mlflow_db
      - s3
    ports:
      - "${MLFLOW_PORT}:5000"
    environment:
      - AWS_ACCESS_KEY_ID=${MINIO_ACCESS_KEY}
      - AWS_SECRET_ACCESS_KEY=${MINIO_SECRET_ACCESS_KEY}
      - MLFLOW_S3_ENDPOINT_URL=http://s3:${MINIO_PORT}
      - MLFLOW_S3_IGNORE_TLS=true
    command: >
      mlflow server
      --backend-store-uri postgresql://${POSTGRES_USER}:${POSTGRES_PASSWORD}@mlflow_db:${POSTGRES_PORT}/mlflowdb
      --host 0.0.0.0
      --serve-artifacts
      --artifacts-destination s3://${MLFLOW_BUCKET_NAME}
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:${MLFLOW_PORT}/"]
      interval: 30s
      timeout: 10s
      retries: 3
  frontend:
    build:
      context: .
      dockerfile: docker/front.Dockerfile
    container_name: frontend
    environment:
      FASTAPI: monolith_container
      STREAMLIT_SERVER_ADDRESS: 0.0.0.0
      STREAMLIT_SERVER_PORT: 5050
    ports:
      - "5050:5050"
    volumes:
      - ./frontend:/app
    entrypoint: streamlit run main.py
  redis:
    image: redis:latest
    container_name: redis_monolith


volumes:
  tf_dota_pred:
    external: true