buildspec.yml

version: 0.2

phases:
  pre_build:
    commands:
      - start-dockerd

  build:
    commands:
      # run linters
      - tox -e flake8,pylint

      # run package and docbuild checks
      - tox -e twine
      - tox -e sphinx

      # run unit tests
      - AWS_ACCESS_KEY_ID= AWS_SECRET_ACCESS_KEY= AWS_SESSION_TOKEN=
        AWS_CONTAINER_CREDENTIALS_RELATIVE_URI= AWS_DEFAULT_REGION=
        tox -e py27,py36 -- tests/unit

      # run notebook test
      - |
        if has-matching-changes "src/*.py" "setup.py" "setup.cfg"; then
          echo "running notebook test"
          python setup.py sdist
          aws s3 --region us-west-2 cp ./dist/sagemaker-*.tar.gz s3://sagemaker-python-sdk-pr/sagemaker.tar.gz
          aws s3 cp s3://sagemaker-mead-cli/mead-nb-test.tar.gz mead-nb-test.tar.gz
          tar -xzf mead-nb-test.tar.gz
          git clone --depth 1 https://github.com/awslabs/amazon-sagemaker-examples.git
          JAVA_HOME=$(get-java-home)
          echo "set JAVA_HOME=$JAVA_HOME"
          SAGEMAKER_ROLE_ARN=$(get-sagemaker-role-arn)
          echo "set SAGEMAKER_ROLE_ARN=$SAGEMAKER_ROLE_ARN"
          ./runtime/bin/mead-run-nb-test \
            --instance-type ml.c4.8xlarge \
            --region us-west-2 \
            --lifecycle-config-name install-python-sdk \
            --notebook-instance-role-arn $SAGEMAKER_ROLE_ARN \
            ./amazon-sagemaker-examples/sagemaker-python-sdk/tensorflow_distributed_mnist/tensorflow_batch_transform_mnist.ipynb
         else
           echo "skipping notebook test"
         fi

      # run integration tests
      - |
        if has-matching-changes "tests/" "src/*.py" "setup.py" "setup.cfg"; then
          IGNORE_COVERAGE=- tox -e py36 -- tests/integ -n 24 --boxed --reruns 2
          IGNORE_COVERAGE=- tox -e py27 -- tests/integ -n 24 --boxed --reruns 2
        else
          echo "skipping integration tests"
        fi