docker-compose.yml

services:
  db:
    mem_limit: "250M"
    image: postgres
    environment:
      - POSTGRES_DB=piccolodb
      - POSTGRES_USER=piccoloadmin
      - POSTGRES_PASSWORD=piccoloadmin3
    ports:
      - "5432:5432"
  redis:
    mem_limit: "250M"
    image: redis
  helper:
    image: sensiml/base
    command: sh -c "chown -R sml-app:sml-app /home/sml-app/install/lib/; chown -R sml-app:sml-app /home/sml-app/data/"
    volumes:
      - server_data:/home/sml-app/data/
      - server_libs:/home/sml-app/install/lib/
  sensiml.databse.initalize:
    mem_limit: "2000M"
    image: sensiml/base
    working_dir: /home/sml-app/install/
    user: sml-app
    volumes:
      - server_data:/home/sml-app/data/
      - server_libs:/home/sml-app/install/lib/
      - type: bind
        source: ./src/server/
        target: /home/sml-app/install/server/
      - type: bind
        source: ./src/embedded_ml_sdk/
        target: /home/sml-app/install/embedded_ml_sdk/
      - type: bind
        source: ./scripts/
        target: /home/sml-app/install/scripts/

      - type: bind
        source: ./src/server/config/
        target: /home/sml-app/install/config/
    environment:
      - DJANGO_ENV=docker
      - DJANGO_ENV_PATH=/home/sml-app/install/config/env
      - HOMEDIR=/home/sml-app/install/
    command: /bin/bash scripts/setup.sh
    depends_on:
      - db
      - redis
      - helper
  sensiml.cloud:
    user: sml-app
    mem_limit: "2000M"
    image: sensiml/base
    working_dir: /home/sml-app/install/server/
    volumes:
      - server_data:/home/sml-app/data/
      - server_libs:/home/sml-app/install/lib/
      - type: bind
        source: ./src/server/
        target: /home/sml-app/install/server/
      - type: bind
        source: ./src/embedded_ml_sdk/
        target: /home/sml-app/install/embedded_ml_sdk/
      - type: bind
        source: ./src/server/config/
        target: /home/sml-app/install/config/
    environment:
      - DJANGO_ENV=docker
      - DJANGO_ENV_PATH=/home/sml-app/install/config/env
      - DJANGO_DEBUGGER=True
      - PORT_PTVSD=8005
    command: python manage.py runserver 0.0.0.0:8000 --noreload
    ports:
      - "8000:8000"
    depends_on:
      - db
      - redis
      - sensiml.databse.initalize
  sensiml.pipelines:
    mem_limit: "2000M"
    image: sensiml/base
    working_dir: /home/sml-app/install/server/
    user: sml-app
    volumes:
      - server_data:/home/sml-app/data/
      - server_libs:/home/sml-app/install/lib/
      - type: bind
        source: ./src/server/
        target: /home/sml-app/install/server/
      - type: bind
        source: ./src/embedded_ml_sdk
        target: /home/sml-app/install/embedded_ml_sdk/
      - type: bind
        source: ./src/server/config/
        target: /home/sml-app/install/config/
      - type: bind
        source: //var/run/docker.sock
        target: /var/run/docker.sock
    environment:
      - DJANGO_ENV=docker
      - DJANGO_DEBUGGER=True
      - PORT_PTVSD=6902
      - CELERY_RDB_PORT=6900
      - CELERY_RDB_HOST=0.0.0.0
      - DJANGO_ENV_PATH=/home/sml-app/install/config/env
      - DOCKER_HOST_SML_DATA_DIR=${DOCKER_HOST_SML_DATA_DIR}
    command: bash -c "sudo chown sml-app:sml-app /var/run/docker.sock && celery --app=server.celery:app worker --loglevel=INFO -O fair --without-mingle --without-gossip  --concurrency 1 -Q pipelines,file_upload,knowledgepack -n pipelines"
    depends_on:
      - db
      - redis
      - sensiml.databse.initalize
  sensiml.steps:
    mem_limit: "2000M"
    image: sensiml/base
    working_dir: /home/sml-app/install/server/
    user: sml-app
    deploy:
      mode: replicated
      replicas: 2
    volumes:
      - server_data:/home/sml-app/data/
      - server_libs:/home/sml-app/install/lib/
      - type: bind
        source: ./src/server/
        target: /home/sml-app/install/server/
      - type: bind
        source: ./src/embedded_ml_sdk/
        target: /home/sml-app/install/embedded_ml_sdk/
      - type: bind
        source: ./src/server/config/
        target: /home/sml-app/install/config/
    environment:
      - DJANGO_ENV=docker
      - CELERY_RDB_PORT=6950
      - CELERY_RDB_HOST=0.0.0.0
      - DJANGO_ENV_PATH=/home/sml-app/install/config/env
    command: celery --app=server.celery:app worker --loglevel=INFO -O fair --without-mingle --without-gossip  --concurrency 1 -Q pipeline_steps -n steps
    depends_on:
      - db
      - redis
      - sensiml.databse.initalize

volumes:
  server_data:
  server_libs:
  # attach to container and enter shell
  #
  # docker exec -it <container-id> /bin/bash
  #
  # Uncomment if you would like celery frower to start as well
  #
  # flower:
  #  image: sensiml/base
  #  working_dir: /home/sml-app/install/server/
  #  volumes:
  #    - type: bind
  #      source: ${SML_SERVER_DATADIR}
  #      target: /home/sml-app/data/
  #    - type: bind
  #      source: ./server/
  #      target: /home/sml-app/install/server/
  #    - type: bind
  #      source: ./config/
  #      target: /home/sml-app/install/config/
  #    - type: bind
  #      source: ./embedded_ml_sdk/
  #      target: /home/sml-app/install/embedded_ml_sdk/
  #    - type: bind
  #      source: ${SML_SERVER_DATADIR}/lib/
  #      target: /home/sml-app/install/lib/
  #  environment:
  #    - DJANGO_ENV=docker
  #  - DJANGO_ENV_PATH=/home/sml-app/install/config/env
  #  command: celery flower --broker=redis://localhost:6379
  #  ports:
  #    - "5555:5555"
  #  depends_on:
  #    - db
  #    - redis
  #    - sensiml.databse.initalize