docker-compose-andromeda.yml

version: "3.2"

services:
  # DATALAKE: Postgres database that stores the data pulled from
  # the social media platforms.
  data_lake:
    image: postgres:10
    container_name: data_lake
    environment:
      # Information used to create the Postgres database
      # We recommend to change the password to a more secure one
      # IF YOU CHANGE ANY OF THESE FIELDS DON'T FORGET TO CHANGE
      # THE CORRESPONDENT FIELDS ON appsetting.json.
      - POSTGRES_USER=fee
      - POSTGRES_PASSWORD=dbpassword
      - POSTGRES_DB=data_lake
    ports:
      - 5433:5433
    command: -p 5433
    volumes:
      - data_lake_data:/var/lib/postgresql/data

  andromeda:
    build:
      context: .
      #========================================================================
      # Build the image pulling the files from the remote directory:
      # https://github.com/Jellyfish-Insights/andromeda
      #========================================================================
      dockerfile: ./Dockerfile

      #========================================================================
      # If you are developing Andromeda's code is useful to build the docker image
      # from your local copy of files instead of getting them from the remote
      # directory. If you want to build using your LOCAL COPY, comment the line:
      # dockerfile: "./src/WebApp/Dockerfile" above and
      # uncomment the line bellow.
      #========================================================================
      #dockerfile: ./local.Dockerfile
    container_name: andromeda
    depends_on:
      - data_lake
    volumes:
      # Bind a directory on the host with all the configuration files.
      # Replace '.${PWD}/andromeda' with the path to the folder with your
      # configuration file: appsettings.json and the social media credentials
      - ./andromeda-config:/app/release/credentials
    environment:
      # Fetchers run every "X" seconds.
      # This variable controls how much time the fetchers will wait to
      # run again.
      - FETCH_SLEEP_TIME=120 #seconds

volumes:
  data_lake_data: