enforce label

.github/workflows/MLPipelinePullRequest.yml

@@ -11,72 +11,83 @@ permissions: write-all
 
 jobs:
 
-  Verify-Model:
+  Enforce-label:
 
     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
+    - uses: yogevbd/enforce-label-action@2.1.0
+      with:
+        REQUIRED_LABELS_ANY: "major,minorr,patch"
+        REQUIRED_LABELS_ANY_DESCRIPTION: "Select at least one label ['major','minor','patch']"
+        BANNED_LABELS: "banned"
 
-    - 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
+  # Verify-Model:
 
-    - name: Build Prediction docker Image
-      run: |
-        cd modules/ml-pipeline/src/pipeline/
-        docker build . --file Prediction.Dockerfile --tag prediction_test
+  #   runs-on: ubuntu-latest
 
-    - name: Run Prediction docker container
-      run: |
-        docker run prediction_test
+  #   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
 
-  Trigger-CML:
+  #   - 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
 
-    runs-on: ubuntu-latest
+  #   - name: Build Prediction docker Image
+  #     run: |
+  #       cd modules/ml-pipeline/src/pipeline/
+  #       docker build . --file Prediction.Dockerfile --tag prediction_test
 
-    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: Run Prediction docker container
+  #     run: |
+  #       docker run prediction_test
 
-    - 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
+  # Trigger-CML:
 
-    - uses: actions/setup-python@v4
-    - uses: iterative/setup-cml@v1
-    - name: Generate report
-      env:
-        AWS_ACCESS_KEY_ID: ${{ secrets.ROBOT_AWS_ACCESS_KEY_ID }}
-        AWS_SECRET_ACCESS_KEY: ${{ secrets.ROBOT_AWS_SECRET_ACCESS_KEY }}
-        REPO_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-      run: |
-        cd modules/ml-pipeline/src/pipeline/src
-        echo "## Model metrics" > report.md
+  #   runs-on: ubuntu-latest
 
-        # Compare metrics to master
-        git fetch --depth=1 origin master:master
-        dvc metrics diff --md --all master >> report.md
+  #   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
 
-        cml comment create report.md
+  #   - 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
+
+  #   - uses: actions/setup-python@v4
+  #   - uses: iterative/setup-cml@v1
+  #   - name: Generate report
+  #     env:
+  #       AWS_ACCESS_KEY_ID: ${{ secrets.ROBOT_AWS_ACCESS_KEY_ID }}
+  #       AWS_SECRET_ACCESS_KEY: ${{ secrets.ROBOT_AWS_SECRET_ACCESS_KEY }}
+  #       REPO_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+  #     run: |
+  #       cd modules/ml-pipeline/src/pipeline/src
+  #       echo "## Model metrics" > report.md
+
+  #       # Compare metrics to master
+  #       git fetch --depth=1 origin master:master
+  #       dvc metrics diff --md --all master >> report.md
+
+  #       cml comment create report.md
 
     #     # echo "## Residuals plot from model" >> report.md
     #     # metrics_location=$(find . -maxdepth 10 -name "residuals.png")