version: 0.2

phases:
  pre_build:
    commands:
      - start-dockerd

  build:
    commands:
      # prepare the release (update versions, changelog etc.)
      - git-release --prepare

      # run linters
      - tox -e flake8,twine,pylint

      # run format verification
      - tox -e black-check

      # run unit tests
      - AWS_ACCESS_KEY_ID= AWS_SECRET_ACCESS_KEY= AWS_SESSION_TOKEN=
        AWS_CONTAINER_CREDENTIALS_RELATIVE_URI= AWS_DEFAULT_REGION=
        tox -e py37,py38 --parallel all -- test/unit

      # run functional tests
      - $(aws ecr get-login --no-include-email --region us-west-2)
      - IGNORE_COVERAGE=- tox -e py37,py38 -- test/functional


      # build dummy container
      - python setup.py sdist
      - cp dist/sagemaker_training-*.tar.gz test/container/dummy/sagemaker_training.tar.gz
      - cd test/container
      - docker build -t sagemaker-training-toolkit-test:dummy -f dummy/Dockerfile .
      - rm dummy/sagemaker_training.tar.gz

      # build tensorflow container
      - cd ../..
      - aws ecr get-login-password --region us-west-2 | docker login --username AWS --password-stdin 763104351884.dkr.ecr.us-west-2.amazonaws.com
      - cp dist/sagemaker_training-*.tar.gz test/container/dummy/sagemaker_training.tar.gz
      - cd test/container
      - docker build -t sagemaker-training-toolkit-test:tensorflow -f tensorflow/Dockerfile .
      #- docker tag sagemaker-training-toolkit-test:tensorflow sagemaker-training-toolkit-test:tensorflow$(($(date +%s%N)/1000000)) #append currenttime to the tag name.
      - rm dummy/sagemaker_training.tar.gz

      - cd ../..

      # run local integration tests
      - IGNORE_COVERAGE=- tox -e py37,py38 -- test/integration/local

      # generate the distribution package
      - python3 setup.py sdist

      # publish the release to github
      - git-release --publish

artifacts:
  files:
    - dist/sagemaker_training*.tar.gz
  name: ARTIFACT_1
  discard-paths: yes