.gitlab-ci.yml

image: docker:20.10.9-alpine3.14

stages:
  - build
  - deploy

services:
  - docker:20.10.9-dind-alpine3.14

before_script:
  # docker login asks for the password to be passed through stdin for security
  # we use $CI_JOB_TOKEN here which is a special token provided by GitLab
  - echo -n $CI_JOB_TOKEN | docker login -u gitlab-ci-token --password-stdin $CI_REGISTRY
  #- echo $DockerHub_Token | docker login -u $DockerHub_User --password-stdin $DockerHub_Registry


build:
  stage: build
  only:
    - tags
  timeout: 2 hours
  ## use tags to get the correct runner, that has docker installed
  tags:
    - docker
    - dind

  script:
    # builds the project, passing proxy variables, and vcs vars for LABEL
    # the built image is tagged locally with the tag, and then pushed to 
    # the GitLab registry
    - >
      docker build
      --build-arg VCS_REF=$CI_COMMIT_REF_NAME
      --build-arg VCS_URL=$CI_PROJECT_URL
      --no-cache
      --tag $CI_REGISTRY_IMAGE/deepfplearn:$CI_COMMIT_REF_NAME
      -f container/Dockerfile
      .

    # run tests 
    - docker run $CI_REGISTRY_IMAGE/deepfplearn:$CI_COMMIT_REF_NAME pytest /deepFPlearn/tests/
    - docker run $CI_REGISTRY_IMAGE/deepfplearn:$CI_COMMIT_REF_NAME dfpl --help

    # push in the gitlab registry
    - docker push $CI_REGISTRY_IMAGE/deepfplearn:$CI_COMMIT_REF_NAME

deploy latest:
  stage: deploy
  only:
    - tags

  variables:
    # We are just playing with Docker here. 
    # We do not need GitLab to clone the source code.
    GIT_STRATEGY: none

  tags:
    - docker
    - dind

  script:
    # Because we have no guarantee that this job will be picked up by the same runner 
    # that built the image in the previous step, we pull it again locally
    - docker pull $CI_REGISTRY_IMAGE/deepfplearn:$CI_COMMIT_REF_NAME
    # Then we tag it "latest"
    - docker tag $CI_REGISTRY_IMAGE/deepfplearn:$CI_COMMIT_REF_NAME $CI_REGISTRY_IMAGE/deepfplearn:latest
    # Push it.
    - docker push $CI_REGISTRY_IMAGE/deepfplearn:latest