feat: Isolate input-dependent calculations in get_online_features

sdk/python/feast/feature_store.py

@@ -1535,22 +1535,11 @@ def get_online_features(
             native_entity_values=True,
         )
 
-    def _get_online_features(
-        self,
-        features: Union[List[str], FeatureService],
-        entity_values: Mapping[
-            str, Union[Sequence[Any], Sequence[Value], RepeatedValue]
-        ],
-        full_feature_names: bool = False,
-        native_entity_values: bool = True,
+    def _get_online_request_context(
+        self, features: Union[List[str], FeatureService], full_feature_names: bool
     ):
-        # Extract Sequence from RepeatedValue Protobuf.
-        entity_value_lists: Dict[str, Union[List[Any], List[Value]]] = {
-            k: list(v) if isinstance(v, Sequence) else list(v.val)
-            for k, v in entity_values.items()
-        }
-
         _feature_refs = self._get_features(features, allow_cache=True)
+
         (
             requested_feature_views,
             requested_on_demand_feature_views,
@@ -1564,19 +1553,6 @@ def _get_online_features(
             join_keys_set,
         ) = self._get_entity_maps(requested_feature_views)
 
-        entity_proto_values: Dict[str, List[Value]]
-        if native_entity_values:
-            # Convert values to Protobuf once.
-            entity_proto_values = {
-                k: python_values_to_proto_values(
-                    v, entity_type_map.get(k, ValueType.UNKNOWN)
-                )
-                for k, v in entity_value_lists.items()
-            }
-        else:
-            entity_proto_values = entity_value_lists
-
-        num_rows = _validate_entity_values(entity_proto_values)
         _validate_feature_refs(_feature_refs, full_feature_names)
         (
             grouped_refs,
@@ -1588,7 +1564,6 @@ def _get_online_features(
         )
         set_usage_attribute("odfv", bool(grouped_odfv_refs))
 
-        # All requested features should be present in the result.
         requested_result_row_names = {
             feat_ref.replace(":", "__") for feat_ref in _feature_refs
         }
@@ -1601,6 +1576,65 @@ def _get_online_features(
 
         needed_request_data = self.get_needed_request_data(grouped_odfv_refs)
 
+        entityless_case = DUMMY_ENTITY_NAME in [
+            entity_name
+            for feature_view in feature_views
+            for entity_name in feature_view.entities
+        ]
+
+        return (
+            _feature_refs,
+            requested_on_demand_feature_views,
+            entity_name_to_join_key_map,
+            entity_type_map,
+            join_keys_set,
+            grouped_refs,
+            requested_result_row_names,
+            needed_request_data,
+            entityless_case,
+        )
+
+    def _get_online_features(
+        self,
+        features: Union[List[str], FeatureService],
+        entity_values: Mapping[
+            str, Union[Sequence[Any], Sequence[Value], RepeatedValue]
+        ],
+        full_feature_names: bool = False,
+        native_entity_values: bool = True,
+    ):
+        (
+            _feature_refs,
+            requested_on_demand_feature_views,
+            entity_name_to_join_key_map,
+            entity_type_map,
+            join_keys_set,
+            grouped_refs,
+            requested_result_row_names,
+            needed_request_data,
+            entityless_case,
+        ) = self._get_online_request_context(features, full_feature_names)
+
+        # Extract Sequence from RepeatedValue Protobuf.
+        entity_value_lists: Dict[str, Union[List[Any], List[Value]]] = {
+            k: list(v) if isinstance(v, Sequence) else list(v.val)
+            for k, v in entity_values.items()
+        }
+
+        entity_proto_values: Dict[str, List[Value]]
+        if native_entity_values:
+            # Convert values to Protobuf once.
+            entity_proto_values = {
+                k: python_values_to_proto_values(
+                    v, entity_type_map.get(k, ValueType.UNKNOWN)
+                )
+                for k, v in entity_value_lists.items()
+            }
+        else:
+            entity_proto_values = entity_value_lists
+
+        num_rows = _validate_entity_values(entity_proto_values)
+
         join_key_values: Dict[str, List[Value]] = {}
         request_data_features: Dict[str, List[Value]] = {}
         # Entity rows may be either entities or request data.
@@ -1640,11 +1674,6 @@ def _get_online_features(
 
         # Add the Entityless case after populating result rows to avoid having to remove
         # it later.
-        entityless_case = DUMMY_ENTITY_NAME in [
-            entity_name
-            for feature_view in feature_views
-            for entity_name in feature_view.entities
-        ]
         if entityless_case:
             join_key_values[DUMMY_ENTITY_ID] = python_values_to_proto_values(
                 [DUMMY_ENTITY_VAL] * num_rows, DUMMY_ENTITY.value_type
@@ -1677,7 +1706,7 @@ def _get_online_features(
                 table,
             )
 
-        if grouped_odfv_refs:
+        if requested_on_demand_feature_views:
             self._augment_response_with_on_demand_transforms(
                 online_features_response,
                 _feature_refs,