deployment.yml

name: Deploy Model on AWS Sagemaker

on:
  deployment

jobs:
  deploy:
    name: Deploy
    runs-on: ubuntu-latest

    steps:
    - name: Checkout
      uses: actions/checkout@v1

    - name: Set Tag in Environment
      id: set-aws-tag
      run: |
        if [ -z "$GITHUB_REF" ]
        then
          echo "No Tag given. Workflow may only be run on tagged commits."
          exit 1
        fi
        echo "::set-output name=awstag::$(echo ${GITHUB_REF:10} | sed 's/[^a-zA-Z0-9]/-/g')"

    - name: Set up Python 3.7
      uses: actions/setup-python@v1
      with:
        python-version: 3.7

    - name: Install Python dependencies
      run: |
        python -m pip install --upgrade pip
        pip install click==7.0
        pip install boto3==1.10.28
        pip install mlflow==1.4.0

    - name: Configure AWS credentials
      uses: aws-actions/configure-aws-credentials@v1
      with:
        aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
        aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
        aws-region: eu-west-1

    - name: Login to Amazon ECR
      id: login-ecr
      uses: aws-actions/amazon-ecr-login@v1

    - name: Deploy model on AWS Sagemaker
      id: deploy-model
      env:
        AWS_TAG: ${{ steps.set-aws-tag.outputs.awstag }}
      run: |
        make sagemaker_deploy JOB_ID="ml-ids-sagemaker-$AWS_TAG"