version: 0.2

env:
  variables:
    FRAMEWORK_VERSION: '1.11.0'
    GPU_INSTANCE_TYPE: 'ml.p3.16xlarge'
    ECR_REPO: 'sagemaker-test'
    GITHUB_REPO: 'sagemaker-pytorch-container'
    DLC_ACCOUNT: '763104351884'
    SETUP_FILE: 'setup_cmds.sh'
    SETUP_CMDS: '#!/bin/bash\npip install --upgrade pip\npip install -U -e .\npip install -U -e .[test]'

phases:
  pre_build:
    commands:
      - start-dockerd
      - ACCOUNT=$(aws --region $AWS_DEFAULT_REGION sts --endpoint-url https://sts.$AWS_DEFAULT_REGION.amazonaws.com get-caller-identity --query 'Account' --output text)
      - PREPROD_IMAGE="$ACCOUNT.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com/$ECR_REPO"
      - PR_NUM=$(echo $CODEBUILD_SOURCE_VERSION | grep -o '[0-9]\+')
      - BUILD_ID="$(echo $CODEBUILD_BUILD_ID | sed -e 's/:/-/g')"
      - echo 'Pull request number:' $PR_NUM '. No value means this build is not from pull request.'

  build:
    commands:
      # install
      - pip3 install -U -e .[test]

      # define tags
      - DLC_GPU_TAG="$FRAMEWORK_VERSION-dlc-gpu-$BUILD_ID"
      - echo 'Skipping DLC creation as it is taken care in DLC pipelines'
      # # launch remote GPU instance
      # - prefix='ml.'
      # - instance_type=${GPU_INSTANCE_TYPE#"$prefix"}
      # - create-key-pair
      # - launch-ec2-instance --instance-type $instance_type --ami-name dlami-ubuntu-latest

      # build DLC GPU image because the base DLC image is too big and takes too long to build as part of the test
      # - python3 setup.py sdist
      # - build_dir="test/container/$FRAMEWORK_VERSION"
      # - $(aws ecr get-login --registry-ids $DLC_ACCOUNT --no-include-email --region $AWS_DEFAULT_REGION)
      # - build_cmd="docker build -f "$build_dir/Dockerfile.dlc.gpu" -t $PREPROD_IMAGE:$DLC_GPU_TAG --build-arg region=$AWS_DEFAULT_REGION ."
      # - execute-command-if-has-matching-changes "$build_cmd" "test/" "src/*.py" "setup.py" "setup.cfg" "buildspec.yml" "lib/*"
      # # push DLC GPU image to ECR
      # - $(aws ecr get-login --registry-ids $ACCOUNT --no-include-email --region $AWS_DEFAULT_REGION)
      # - push_cmd="docker push $PREPROD_IMAGE:$DLC_GPU_TAG"
      # - execute-command-if-has-matching-changes "$push_cmd" "test/" "src/*.py" "setup.py" "setup.cfg" "buildspec.yml" "lib/*"

      # # run GPU local integration tests
      # - printf "$SETUP_CMDS" > $SETUP_FILE
      # - dlc_cmd="pytest test/integration/local --region $AWS_DEFAULT_REGION --docker-base-name $ECR_REPO --dockerfile-type dlc.gpu --aws-id $ACCOUNT --framework-version $FRAMEWORK_VERSION --processor gpu --tag $DLC_GPU_TAG"
      # - test_cmd="remote-test --github-repo $GITHUB_REPO --test-cmd \"$dlc_cmd\" --setup-file $SETUP_FILE --pr-number \"$PR_NUM\" --skip-setup"
      # - execute-command-if-has-matching-changes "$test_cmd" "test/" "src/*.py" "setup.py" "setup.cfg" "buildspec.yml" "lib/*"

      # # run GPU sagemaker integration tests
      # - test_cmd="pytest -n 10 test/integration/sagemaker --region $AWS_DEFAULT_REGION --docker-base-name $ECR_REPO --dockerfile-type dlc.gpu --aws-id $ACCOUNT --framework-version $FRAMEWORK_VERSION --processor gpu --instance-type $GPU_INSTANCE_TYPE --tag $DLC_GPU_TAG"
      # - execute-command-if-has-matching-changes "$test_cmd" "test/" "src/*.py" "setup.py" "setup.cfg" "buildspec.yml" "lib/*"

    finally:
      - echo 'Done'
      # shut down remote GPU instance
      # - cleanup-gpu-instances
      # - cleanup-key-pairs

      # # remove ECR image
      # - aws ecr batch-delete-image --repository-name $ECR_REPO --region $AWS_DEFAULT_REGION --image-ids imageTag=$DLC_GPU_TAG