ML/.github/workflows/MLPipelinePostMerge.yml

name: Register the model for the given pipeline branch

# on:
#   push:
#     branches:
#       - "model-**"

on:
  pull_request:
    types:
      - closed
    branches:
      - "master"

permissions: write-all

jobs:
  Use-Major-Label-on-Merge:
    if: ${{ (github.event.pull_request.merged == true) && (contains(github.event.pull_request.labels.*.name, 'major')) }}
    runs-on: ubuntu-latest
    steps:
    - uses: actions/checkout@v3
    - name: Test echoo
      run: |
        echo "Hello Major"

  Use-Minor-Label-on-Merge:
    if: ${{ (github.event.pull_request.merged == true) && (contains(github.event.pull_request.labels.*.name, 'minor')) }}
    runs-on: ubuntu-latest
    steps:
    - uses: actions/checkout@v3
    - name: Test echoo
      run: |
        echo "Hello Minor"

  Use-Patch-Label-on-Merge:
    if: ${{ (github.event.pull_request.merged == true) && (contains(github.event.pull_request.labels.*.name, 'patch')) }}
    runs-on: ubuntu-latest
    steps:
    - uses: actions/checkout@v3
    - name: Test echoo
      run: |
        echo "Hello Patch"

  # Promote-Model-To-Dev:
  #   if: github.event.pull_request.merged == true
  #   runs-on: ubuntu-latest

  #   steps:
  #   - uses: actions/checkout@v3
  #   - name: Install packages to retrieve artifacts
  #     run: |
  #       pip install --upgrade pip
  #       pip install -r modules/ml-pipeline/src/pipeline/src/requirements/version_control/requirements.txt

  #   - name: Retrieve artifacts (dvc.lock)
  #     env:
  #       AWS_ACCESS_KEY_ID: ${{ secrets.ROBOT_AWS_ACCESS_KEY_ID }}
  #       AWS_SECRET_ACCESS_KEY: ${{ secrets.ROBOT_AWS_SECRET_ACCESS_KEY }}
  #     run: |
  #       cd modules/ml-pipeline/src/pipeline/src
  #       dvc pull -r experiments

  #   - name: Push artifacts to Dev
  #     env:
  #       AWS_ACCESS_KEY_ID: ${{ secrets.ROBOT_AWS_ACCESS_KEY_ID }}
  #       AWS_SECRET_ACCESS_KEY: ${{ secrets.ROBOT_AWS_SECRET_ACCESS_KEY }}
  #     run: |
  #       cd modules/ml-pipeline/src/pipeline/src
  #       dvc push -r dev


  Register-New-Model-Dev:
    # if: github.event.pull_request.merged == true
    runs-on: ubuntu-latest
    steps:
    - uses: actions/checkout@v4
      with:
        fetch-depth: 0

    - name: Install packages to register model
      env:
        AWS_ACCESS_KEY_ID: ${{ secrets.ROBOT_AWS_ACCESS_KEY_ID }}
        AWS_SECRET_ACCESS_KEY: ${{ secrets.ROBOT_AWS_SECRET_ACCESS_KEY }}
      run: |
        pip install --upgrade pip
        pip install -r modules/ml-pipeline/src/pipeline/src/requirements/version_control/requirements.txt

    - name: Register Model
      env:
        AWS_ACCESS_KEY_ID: ${{ secrets.ROBOT_AWS_ACCESS_KEY_ID }}
        AWS_SECRET_ACCESS_KEY: ${{ secrets.ROBOT_AWS_SECRET_ACCESS_KEY }}
      run: |

        # REGISTER_MODEL_NAME=$(echo ${{ github.event.pull_request.head.ref }} | awk -F"-" '{print $1}')
        REGISTER_MODEL_NAME=$(echo ${{github.ref_name}} | awk -F"-" '{print $1}')

        git config user.name "Github-Bot"
        git config user.email "Github-Bot@no-reply.com"

        # git tag model@v0.0.1
        # git push origin model@v0.0.1

        # gto register test --repo https://github.com/Hestia-Homes/ML/
        # echo "chicken" >> test.md

        gto -v register ${REGISTER_MODEL_NAME}
        # gto assign regression --stage dev
        # gto show

  # Register-Prediction-Image-Dev:
  #   needs: Promote-Model-To-Dev
  #   # needs: [Promote-Model-To-Dev, Register-New-Model-Dev] WILL ADD BACK ONCE REGISTER WORKS
  #   runs-on: ubuntu-latest

  #   steps:
  #   - uses: actions/checkout@v3
  #   - name: Install packages to retrieve artifacts
  #     env:
  #       AWS_ACCESS_KEY_ID: ${{ secrets.ROBOT_AWS_ACCESS_KEY_ID }}
  #       AWS_SECRET_ACCESS_KEY: ${{ secrets.ROBOT_AWS_SECRET_ACCESS_KEY }}
  #     run: |
  #       pip install --upgrade pip
  #       pip install -r modules/ml-pipeline/src/pipeline/src/requirements/version_control/requirements.txt

  #   - name: Retrieve artifacts (dvc.lock)
  #     env:
  #       AWS_ACCESS_KEY_ID: ${{ secrets.ROBOT_AWS_ACCESS_KEY_ID }}
  #       AWS_SECRET_ACCESS_KEY: ${{ secrets.ROBOT_AWS_SECRET_ACCESS_KEY }}
  #     run: |
  #       cd modules/ml-pipeline/src/pipeline/src
  #       dvc pull -r dev

  #   - name: Build Prediction docker image (TODO - NEED LAMBDA IMAGE, need to add version from gto registry)
  #     run: |
  #       cd modules/ml-pipeline/src/pipeline/
  #       REGISTER_MODEL_NAME=$(echo ${{ github.event.pull_request.head.ref }} | awk -F"-" '{print $1}')
  #       docker build . --file Prediction.Dockerfile --tag ${REGISTER_MODEL_NAME}

  #   - name: ECR Login - Dev
  #     env:
  #       AWS_ACCESS_KEY_ID: ${{ secrets.ROBOT_AWS_ACCESS_KEY_ID }}
  #       AWS_SECRET_ACCESS_KEY: ${{ secrets.ROBOT_AWS_SECRET_ACCESS_KEY }}
  #     run: |
  #       echo "LOGIN TO ECR"

  #   - name: Push Prediction image to ECR - Dev
  #     env:
  #       AWS_ACCESS_KEY_ID: ${{ secrets.ROBOT_AWS_ACCESS_KEY_ID }}
  #       AWS_SECRET_ACCESS_KEY: ${{ secrets.ROBOT_AWS_SECRET_ACCESS_KEY }}
  #     run: |
  #       echo "PUSH TO ECR"