test debug

.github/workflows/MLPipelinePostMerge.yml

@@ -1,47 +1,47 @@
 name: Register the model for the given pipeline branch
 
-# on:
-#   push:
-#     branches:
-#       - "model-**"
-
 on:
-  pull_request:
-    types:
-      - closed
+  push:
     branches:
-      - "master"
+      - "model-**"
+
+# on:
+#   pull_request:
+#     types:
+#       - closed
+#     branches:
+#       - "master"
 
 permissions: write-all
 
 jobs:
 
-  Promote-Model-To-Dev:
-    if: github.event.pull_request.merged == true
-    runs-on: ubuntu-latest
+  # 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
+  #   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: 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
+  #   - 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:
@@ -62,6 +62,7 @@ jobs:
 
     - name: Register Model
       env:
+        ACTIONS_STEP_DEBUG: true
         REPO_TOKEN: ${{ secrets.GITHUB_TOKEN }}
       run: |
 
@@ -69,50 +70,52 @@ jobs:
         # 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 branch
+        git tag
 
         gto register ${REGISTER_MODEL_NAME}
         gto assign ${REGISTER_MODEL_NAME} --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
+  # 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
+  #   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: 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 ${REGISTER_MODEL_NAME}
+  #   - name: Build Prediction docker image (TODO - NEED LAMBDA IMAGE, need to add version from gto registry)
+  #     run: |
+  #       cd modules/ml-pipeline/src/pipeline/
+  #       REGISTER_MODEL_NAME=$(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: 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"
+  #   - 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"

modules/ml-pipeline/.gitignore

@@ -1,2 +1,4 @@
 .dev_env/
 __pycache__/
+.DS_Store
+.vscode/