docker-compose.yml

version: '3.4'

x-grobid-env:
    &grobid-env
      - OVERRIDE_MODELS=${OVERRIDE_MODELS}
      - OVERRIDE_MODEL_1=${OVERRIDE_MODEL_1}
      - OVERRIDE_MODEL_2=${OVERRIDE_MODEL_2}
      - OVERRIDE_MODEL_3=${OVERRIDE_MODEL_3}

services:
  grobid-builder:
    build:
      context: .
      dockerfile: Dockerfile.builder
      args:
        grobid_tag: ${GROBID_TAG}
    image: elifesciences/sciencebeam-trainer-grobid-builder:${IMAGE_TAG}

  # the main sciencebeam-trainer-grobid image that we are going to push
  sciencebeam-trainer-grobid:
    build:
      context: .
      dockerfile: Dockerfile
      args:
        builder_image: elifesciences/sciencebeam-trainer-grobid-builder:${IMAGE_TAG}
        grobid_tag: ${GROBID_TAG}
        revision: ${REVISION}
    image: elifesciences/sciencebeam-trainer-grobid:${IMAGE_TAG}
    depends_on:
      - grobid-builder
    environment: *grobid-env
    volumes:
      - data:/data

  # same as sciencebeam-trainer-grobid but with dev dependencies
  sciencebeam-trainer-grobid-dev-base:
    build:
      context: .
      dockerfile: Dockerfile
      args:
        builder_image: elifesciences/sciencebeam-trainer-grobid-builder:${IMAGE_TAG}
        grobid_tag: ${GROBID_TAG}
        revision: ${REVISION}
        install_dev: y
    image: elifesciences/sciencebeam-trainer-grobid-dev-base:${IMAGE_TAG}
    depends_on:
      - grobid-builder

  # with added dev tools and tests
  sciencebeam-trainer-grobid-dev:
    build:
      context: .
      dockerfile: Dockerfile.dev
      args:
        base_image: elifesciences/sciencebeam-trainer-grobid-dev-base:${IMAGE_TAG}
    image: elifesciences/sciencebeam-trainer-grobid-dev:${IMAGE_TAG}
    depends_on:
      - sciencebeam-trainer-grobid-dev-base
    environment: *grobid-env
    volumes:
      - data:/data

volumes:
  data: