SIENTIAPDE-1712

SIENTIAPDE-1712 Enhance logging across various classes by adding logger parameters and improving debug statements. This update includes adjustments in Gates, MLFlow, ModelMetrics, and MLFlowRepository classes for better traceability and observability during operations.

laborious/utils/repository/model_repository.py

@@ -474,7 +474,9 @@ class MLFlowRepository(SientiaMonitoring):
             raw_model = mlflow.pyfunc.load_model(artifact_path)
             model = raw_model._model_impl.python_model
 
-            self.debug(f"Model wrapper loaded: {model.__class__.__name__}:{model.__dict__}", metadata)
+            self.debug(
+                f'Model wrapper loaded: {model.__class__.__name__}:{model.__dict__}', metadata
+            )
         else:
             if model_type == 'predict':
                 model = await self.load_predict_model(model_name, metadata, flavor)
@@ -1293,7 +1295,9 @@ class MLFlowRepository(SientiaMonitoring):
             end_time = datetime.now()
 
             if isinstance(predict_data, pd.DataFrame):
-                self._debug_dataframe('Data received from model prediction:', predict_data, metadata)
+                self._debug_dataframe(
+                    'Data received from model prediction:', predict_data, metadata
+                )
 
                 # predict_data.to_csv(
                 #     f"tmp/predicted_data_{model_name}.csv", index=True)