feat: add prod and dev jobs workflow

.github/workflows/prod_and_dev_jobs.yml

@@ -7,7 +7,7 @@ permissions:
   contents: read
 
 jobs:
-  train:
+  devtrain:
     runs-on: ubuntu-latest
     environment: dev
     steps:
@@ -24,5 +24,24 @@ jobs:
     - name: Set defaults
       run: az configure --defaults group=testshahzeb && az configure --defaults workspace=mlshah
     - name: Run command
-      run: az ml job create --file src/job.yml
+      run: az ml job create --file src/job.yml --stream
+  prodtrain:
+    needs: devtrain
+    runs-on: ubuntu-latest
+    environment: prod
+    steps:
+    - name: Check out repo
+      uses: actions/checkout@main
+    - name: Install az ml extension
+      run: az extension add -n ml -y
+    - name: Azure login
+      uses: azure/login@v1
+      with:
+        client-id: ${{ secrets.AZURE_CLIENT_ID }}
+        tenant-id: ${{ secrets.AZURE_TENANT_ID }}
+        subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
+    - name: Set defaults
+      run: az configure --defaults group=testshahzeb && az configure --defaults workspace=mlshah
+    - name: Run command
+      run: az ml job create --file src/prod_job.yml --stream
 

src/prod_job.yml

@@ -0,0 +1,22 @@
+$schema: https://azuremlschemas.azureedge.net/latest/commandJob.schema.json
+code: model
+command: |
+  echo "Hello, world!"
+  ls -la
+  python train.py --training_data ${{inputs.training_data}} --reg_rate ${{inputs.reg_rate}}
+inputs:
+  training_data: 
+    type: uri_folder 
+    path: azureml:diabetes-prod-folder:1
+  reg_rate: 0.01
+environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+compute: azureml:shahcluster # maybe local needs docker
+experiment_name: DummyExperiment 
+description: |
+  # Azure Machine Learning "hello world" job
+
+  This is a "hello world" job running in the cloud via Azure Machine Learning!
+
+  ## Description
+
+  Markdown is supported in the studio for job descriptions! You can edit the description there or via CLI.