SIENTIAPDE-1712

Refactor MinioDataFramePayload usage across activities

- Updated instances of MinioDataFramePayload initialization in Gates, MLFlow, and Storage classes to use the new from_dict method for better data reconstruction from dictionaries.
- Enhanced the PredictionProcess workflow to utilize the updated payload handling.
- Added passthrough fixtures in tests to accommodate the new from_dict method for consistent testing behavior.

laborious/activities/mlflow.py

@@ -128,7 +128,7 @@ class MLFlow(MinioManager):
         metadata = input_data['metadata']
         self.info('Transforming data...', metadata)
 
-        payload: MinioDataFramePayload = input_data['data']
+        payload = MinioDataFramePayload.from_dict(input_data['data'])
         data = await payload.retrieve(self.minio_repository, metadata)
 
         model_name = input_data['model_name']
@@ -222,7 +222,7 @@ class MLFlow(MinioManager):
         metadata = input_data['metadata']
         self.info('Predicting data...', metadata)
 
-        payload: MinioDataFramePayload = input_data['data']
+        payload = MinioDataFramePayload.from_dict(input_data['data'])
         data = await payload.retrieve(self.minio_repository, metadata)
 
         model_name = input_data['model_name']
@@ -311,7 +311,7 @@ class MLFlow(MinioManager):
 
         try:
             # Payload-based retrain input (inline dict or MinIO offloaded).
-            payload: MinioDataFramePayload = input_data['data']
+            payload = MinioDataFramePayload.from_dict(input_data['data'])
             data = await payload.retrieve(self.minio_repository, metadata)
 
         except Exception as e: