SIENTIAPDE-1222

Refactor MLFlow logging to improve data output clarity

- Updated the debug logging to directly capture the output of data.to_csv, enhancing traceability of processed input data.
- Removed redundant debug statements for raw response data to streamline logging and focus on essential information.

laborious/activities/mlflow.py

@@ -154,18 +154,15 @@ class MLFlow(BaseActivity):
         data.columns.name = None
 
         self.debug("Processed input data:", metadata)
-        data.to_csv('data.csv')
-        self.debug(data.to_string(), metadata)
+        self.debug(data.to_csv('data.csv'), metadata)
 
         # Request transformation from MLFlow model
         response_data = self.model_monitoring_repository.transform(
             model_name, data, model_config
         )
 
-        self.debug("Raw response data:", metadata)
-        self.debug(response_data, metadata)
-
         if response_data['success']:
+
             response_dataframe = DataFrame(response_data['content'])
             try:
                 response_dataframe = self.detect_and_parse_datetime_index(