.github/workflows/deploy_on_release.yaml

name: model-deploy-on-release
on:
  release:
    types: 
      - 'created'

jobs:
  run:
    runs-on: [ubuntu-latest]
    container: docker://dvcorg/cml-py3:latest
    steps:
      - uses: actions/checkout@v2
      - name: 'Deploy/Update on new release'
        shell: bash

        env:
          repo_token: ${{ secrets.GITHUB_TOKEN }}
          AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }}
          AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
          CRED_SECRET: ${{ secrets.IBM_CREDENTIALS_PASS }}
        
        run: |
          # Install requirements
          pip install -r requirements.txt

          # Pull data & run-cache from S3 and reproduce pipeline
          dvc pull --run-cache
          dvc repro

          # Decrypt credentials file
          gpg --quiet --batch --yes --decrypt --passphrase="$CRED_SECRET" --output credentials.yaml credentials.yaml.gpg

          # Check if there is a deployment already, if positive update it, otherwise deploys it for the first time
          ./src/scripts/Scripts/git_release_pipeline.sh