docker-compose.yml

services:
  server:
    build: .
    working_dir: /usr/src/app
    ports:
      - "8000:5000"
    volumes:
      - .:/usr/src/app
    healthcheck:
      test: ["CMD", "curl", "-f", "http://0.0.0.0:5000"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 60s
    restart: on-failure
    command: runServer.sh

  trainmodel: #
    build: .
    working_dir: /usr/src/app
    volumes:
      - .:/usr/src/app
    links:
      - "server:localhost"
    depends_on:
      server:
        condition: service_healthy
    command: ["python", "clf-train-registry.py", "clf-model", "http://server:5000", "--outputTestData", "test.csv"]

  servemodel:
    build: .
    depends_on:
      trainmodel:
        condition: service_completed_successfully
      server:
        condition: service_healthy
    working_dir: /usr/src/app
    ports:
      - "1234:1234"
    volumes:
      - .:/usr/src/app
    links:
      - "server:server"
    environment:
      - MLFLOW_TRACKING_URI=http://server:5000
    command: ["serveModel.sh", "models:/clf-model@Staging"]