using deep copy to copy feature group object instead of from_response

Author: manu-sj

python/hsfs/core/feature_group_engine.py

@@ -14,6 +14,7 @@
 #
 from __future__ import annotations
 
+import copy
 import warnings
 from typing import List
 
@@ -259,10 +260,10 @@ def sql(self, query, feature_store_name, dataframe_type, online, read_options):
             read_options,
         )
 
-    def _update_features_metadata(self, feature_group, features):
+    def _update_features_metadata(self, feature_group: fg.FeatureGroup, features):
         # perform changes on copy in case the update fails, so we don't leave
         # the user object in corrupted state
-        copy_feature_group = fg.FeatureGroup.from_response_json(feature_group.to_dict())
+        copy_feature_group: fg.FeatureGroup = copy.deepcopy(feature_group)
         copy_feature_group.features = features
         self._feature_group_api.update_metadata(
             feature_group, copy_feature_group, "updateMetadata"

python/hsfs/hopsworks_udf.py

@@ -315,7 +315,7 @@ def _extract_source_code(udf_function: Callable) -> str:
         except FileNotFoundError:
             module_imports = [""]
             warnings.warn(
-                "Cannot extract imported dependencies for the function module. Please make sure to import all dependencies for the UDF inside the function.",
+                "Cannot extract imported dependencies for the UDF from the module in which it is defined. Please make sure to import all dependencies for the UDF inside the function.",
                 stacklevel=2,
             )