SIENTIAPDE-1222

Update image tag in values.yaml and enhance debug logging in Gates and MLFlow activities

- Updated the image tag in values.yaml from '0.0.1' to '0.0.2'.
- Improved debug logging in the Gates activity to format input data and filters for better readability.
- Enhanced MLFlow activity logging to include formatted output for raw and transformed response data, ensuring consistent logging format.

laborious/activities/gates.py

@@ -206,8 +206,8 @@ class Gates(BaseActivity):
 
         filter_output = []
 
-        self.debug(create_sample_dict(
-            data, max_items=5, max_depth=2), metadata)
+        self.debug(f"Input data: \n {create_sample_dict(
+            data, max_items=5, max_depth=2)}", metadata)
         self.debug(f"Filters: {filters}", metadata)
 
         comments = []
@@ -293,7 +293,7 @@ class Gates(BaseActivity):
         filter_output = []
 
         self.debug(f"Input data:\n {data.head(5).to_string()}", metadata)
-        self.debug(create_sample_dict(filters), metadata)
+        self.debug(f"Filters: \n {create_sample_dict(filters)}", metadata)
 
         for fil, config in filters.items():
             if fil not in mlflow_content_filter_functions:

laborious/activities/mlflow.py

@@ -161,9 +161,8 @@ class MLFlow(BaseActivity):
             model_name, data, model_config
         )
 
-        self.debug("Transform raw response data:", metadata)
-        self.debug(create_sample_dict(
-            response_data), metadata)
+        self.debug(f"Transform raw response data: \n {create_sample_dict(
+            response_data)}", metadata)
 
         if response_data['success']:
 
@@ -194,9 +193,8 @@ class MLFlow(BaseActivity):
 
             response_data['content'] = response_dataframe.to_dict()
 
-        self.debug("Transform response data:", metadata)
-        self.debug(create_sample_dict(
-            response_data), metadata)
+        self.debug(f"Transform response data: \n {create_sample_dict(
+            response_data)}", metadata)
 
         self.info("Data transformed successfully", metadata)
 
@@ -248,9 +246,8 @@ class MLFlow(BaseActivity):
             model_name, data, model_config
         )
 
-        self.debug("Prediction response data:", metadata)
-        self.debug(create_sample_dict(
-            response_data), metadata)
+        self.debug(f"Prediction response data: \n {create_sample_dict(
+            response_data)}", metadata)
 
         self.info("Data predicted successfully", metadata)
 

laborious/utils/repository/model_repository.py

@@ -24,6 +24,7 @@ class MLFlowRepository():
         self.model_serving = ModelServing(tracking_uri=host,
                                           username=username, password=password,
                                           logger=logger)
+        self.logger = logger
 
     def transform(self, model_name: str, data: pd.DataFrame, model_config: dict) -> dict:
         """
@@ -90,7 +91,8 @@ class MLFlowRepository():
 
             end_time = datetime.now()
             data = pd.DataFrame(data, columns=['prediction'])
-            self.logger.info(f"Data: {data.to_string()}")
+            self.logger.info(
+                f"Data received from model prediction: {data.to_string()}")
             data.index = input_index
             data['response_time'] = (end_time - start_time).total_seconds()
 

values.yaml

@@ -11,9 +11,9 @@ image:
   # This sets the pull policy for images.
   pullPolicy: Always
   # Overrides the image tag whose default is the chart appVersion.
-  tag: "0.0.1"
+  tag: "0.0.2"
 
-# This is for the secrets for pulling an image from a private repository more information can be found here: https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/
+0# This is for the secrets for pulling an image from a private repository more information can be found here: https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/
 imagePullSecrets:
 - name: docker-hub-secret
 # This is to override the chart name.