[MLOps3.0] Minor fix for model deployment job update (#203)

* Minor fix for LHM demo

* Minor fix for custom metrics

* Removed monitoring folders

* Create .gitignore in LHM demo folder

Adding `.gitignore` to ignore local monitoring dashboard jsons in LHM demo

* Create .gitignore in MLOps-Advanced demo

Adding `.gitignore` to ignore local monitoring dashboard jsons

* Quick-Fixes & Cleans

Removed batch scoring for synthetic data

* Major updates for Serverless, MLflow3.0 and Lakebase

- Removed all mentions/use of automl and switched to Optuna with native mlflow spark integration
- Added MLflow3.0 deployment job
- Updated Feature Engineering/Serving to use new Synched tables (Lakebase)
- Minor fixes to monitoring and drift detection

* [MLOps3.0] Fixed quickstart and experiments

- Tested Quickstart demo
- Fixed Experiment name
- Updated DAB configuration

* Updated references to new images/banners

* [MLOps3.0] Fixes for quick-start and Optuna HPO

* [MLOps3.0] Minor fixes for FE client

* [MLOps3.0] Bug fixes for Optuna/autoML and FE client

* Synching with upstream

* [MLOps3.0] Bug fixes for Optuna/autoML and FE client

* [MLOps3.0] Minor fixes

* Synching with upstream

* [MLOps3.0] Minor fix for Deployment Job Update

* [MLOps3.0] Added Online Store Name argument

Author: aelhelouDB

product_demos/Data-Science/mlops-end2end/02-mlops-advanced/03a_create_deployment_job.py

@@ -183,7 +183,13 @@
       client.update_registered_model(model_name, deployment_job_id="") # Unlink current job
       client.update_registered_model(model_name, deployment_job_id=job_id) # Link new one
 
-except mlflow.exceptions.RestException:
-  # Create Empty Model placeholder and Link job
-  print("Model does not exist - Creating model and linking job")
-  client.create_registered_model(model_name, deployment_job_id=job_id)
+except mlflow.exceptions.RestException as e:
+  if "PERMISSION_DENIED" in str(e):
+        print(f"Permission denied on model `{model_name}` - Deployment Job NOT UPDATED.")
+        # Optionally, handle or re-raise
+        pass
+
+  else:
+    # Create Empty Model placeholder and Link job
+    print("Model does not exist - Creating model and linking job")
+    client.create_registered_model(model_name, deployment_job_id=job_id)

product_demos/Data-Science/mlops-end2end/02-mlops-advanced/06_serve_features_and_model.py

@@ -49,7 +49,7 @@
 
 dbutils.widgets.text("model_name", f"{catalog}.{db}.advanced_mlops_churn", "Model Name") # Will be populated from Deployment Jobs Parameters
 dbutils.widgets.text("model_version", "1", "Model Version") # Will be populated from Deployment Jobs Parameters
-dbutils.widgets.text("online_store_name", "fe_shared_demo", "Online Store Name")
+dbutils.widgets.text("online_store_name", online_store_name, "Online Store Name")
 dbutils.widgets.dropdown("drop_online_store", "False", ["True", "False"], "Reset Online Table(s)")
 dbutils.widgets.dropdown("smoke_test", "False", ["True", "False"], "Smoke Test Flag")
 

product_demos/Data-Science/mlops-end2end/_resources/00-setup.py

@@ -17,6 +17,7 @@
 
 catalog = "main__build"
 dbName = db = "dbdemos_mlops"
+online_store_name = "shared_online_store" # "fe_shared_demo"
 
 # COMMAND ----------