Hide FeatureViewProjections from user interface & have FeatureViews carry FVProjections that carries the modified info of the FeatureView

protos/feast/core/FeatureService.proto

@@ -23,8 +23,8 @@ message FeatureServiceSpec {
   // Name of Feast project that this Feature Service belongs to.
   string project = 2;
 
-  // List of features that this feature service encapsulates.
-  // Stored as a list of references to other features views and the features from those views.
+  // Represents a projection that's to be applied on top of the FeatureView.
+  // Contains data such as the features to use from a FeatureView.
   repeated FeatureViewProjection features = 3;
 
   // User defined metadata

protos/feast/core/FeatureViewProjection.proto

@@ -8,7 +8,8 @@ option java_package = "feast.proto.core";
 import "feast/core/Feature.proto";
 
 
-// A reference to features in a feature view
+// A projection to be applied on top of a FeatureView. 
+// Contains the modifications to a FeatureView such as the features subset to use.
 message FeatureViewProjection {
   // The feature view name
   string feature_view_name = 1;

sdk/python/feast/cli.py

@@ -175,7 +175,7 @@ def feature_service_list(ctx: click.Context):
     feature_services = []
     for feature_service in store.list_feature_services():
         feature_names = []
-        for projection in feature_service.features:
+        for projection in feature_service.feature_view_projections:
             feature_names.extend(
                 [f"{projection.name}:{feature.name}" for feature in projection.features]
             )

sdk/python/feast/feature_service.py

@@ -31,7 +31,7 @@ class FeatureService:
     """
 
     name: str
-    features: List[FeatureViewProjection]
+    feature_view_projections: List[FeatureViewProjection]
     tags: Dict[str, str]
     description: Optional[str] = None
     created_timestamp: Optional[datetime] = None
@@ -41,9 +41,7 @@ class FeatureService:
     def __init__(
         self,
         name: str,
-        features: List[
-            Union[FeatureTable, FeatureView, OnDemandFeatureView, FeatureViewProjection]
-        ],
+        features: List[Union[FeatureTable, FeatureView, OnDemandFeatureView]],
         tags: Optional[Dict[str, str]] = None,
         description: Optional[str] = None,
     ):
@@ -54,18 +52,20 @@ def __init__(
             ValueError: If one of the specified features is not a valid type.
         """
         self.name = name
-        self.features = []
-        for feature in features:
-            if (
-                isinstance(feature, FeatureTable)
-                or isinstance(feature, FeatureView)
-                or isinstance(feature, OnDemandFeatureView)
+        self.feature_view_projections = []
+
+        for feature_grouping in features:
+            if isinstance(feature_grouping, FeatureTable):
+                self.feature_view_projections.append(
+                    FeatureViewProjection.from_definition(feature_grouping)
+                )
+            elif isinstance(feature_grouping, FeatureView) or isinstance(
+                feature_grouping, OnDemandFeatureView
             ):
-                self.features.append(FeatureViewProjection.from_definition(feature))
-            elif isinstance(feature, FeatureViewProjection):
-                self.features.append(feature)
+                self.feature_view_projections.append(feature_grouping.projection)
             else:
-                raise ValueError(f"Unexpected type: {type(feature)}")
+                raise ValueError(f"Unexpected type: {type(feature_grouping)}")
+
         self.tags = tags or {}
         self.description = description
         self.created_timestamp = None
@@ -89,7 +89,9 @@ def __eq__(self, other):
         if self.tags != other.tags or self.name != other.name:
             return False
 
-        if sorted(self.features) != sorted(other.features):
+        if sorted(self.feature_view_projections) != sorted(
+            other.feature_view_projections
+        ):
             return False
 
         return True
@@ -104,17 +106,20 @@ def from_proto(feature_service_proto: FeatureServiceProto):
         """
         fs = FeatureService(
             name=feature_service_proto.spec.name,
-            features=[
-                FeatureViewProjection.from_proto(fp)
-                for fp in feature_service_proto.spec.features
-            ],
+            features=[],
             tags=dict(feature_service_proto.spec.tags),
             description=(
                 feature_service_proto.spec.description
                 if feature_service_proto.spec.description != ""
                 else None
             ),
         )
+        fs.feature_view_projections.extend(
+            [
+                FeatureViewProjection.from_proto(projection)
+                for projection in feature_service_proto.spec.features
+            ]
+        )
 
         if feature_service_proto.meta.HasField("created_timestamp"):
             fs.created_timestamp = (
@@ -138,19 +143,12 @@ def to_proto(self) -> FeatureServiceProto:
         if self.created_timestamp:
             meta.created_timestamp.FromDatetime(self.created_timestamp)
 
-        spec = FeatureServiceSpec()
-        spec.name = self.name
-        for definition in self.features:
-            if isinstance(definition, FeatureTable) or isinstance(
-                definition, FeatureView
-            ):
-                feature_ref = FeatureViewProjection(
-                    definition.name, definition.features
-                )
-            else:
-                feature_ref = definition
-
-            spec.features.append(feature_ref.to_proto())
+        spec = FeatureServiceSpec(
+            name=self.name,
+            features=[
+                projection.to_proto() for projection in self.feature_view_projections
+            ],
+        )
 
         if self.tags:
             spec.tags.update(self.tags)

sdk/python/feast/feature_store.py

@@ -316,12 +316,19 @@ def _get_features(
         if not _features:
             raise ValueError("No features specified for retrieval")
 
-        _feature_refs: List[str]
+        _feature_refs = []
         if isinstance(_features, FeatureService):
-            # Get the latest value of the feature service, in case the object passed in has been updated underneath us.
-            _feature_refs = _get_feature_refs_from_feature_services(
-                self.get_feature_service(_features.name)
-            )
+            feature_service_from_registry = self.get_feature_service(_features.name)
+            if feature_service_from_registry != _features:
+                warnings.warn(
+                    "The FeatureService object that has been passed in as an argument is"
+                    "inconsistent with the version from Registry. Potentially a newer version"
+                    "of the FeatureService has been applied to the registry."
+                )
+            for projection in feature_service_from_registry.feature_view_projections:
+                _feature_refs.extend(
+                    [f"{projection.name}:{f.name}" for f in projection.features]
+                )
         else:
             assert isinstance(_features, list)
             _feature_refs = _features
@@ -542,10 +549,8 @@ def get_historical_features(
             )
 
         _feature_refs = self._get_features(features, feature_refs)
-
-        all_feature_views = self.list_feature_views()
-        all_on_demand_feature_views = self._registry.list_on_demand_feature_views(
-            project=self.project
+        all_feature_views, all_on_demand_feature_views = self._get_feature_views_to_use(
+            features
         )
 
         # TODO(achal): _group_feature_refs returns the on demand feature views, but it's no passed into the provider.
@@ -805,11 +810,8 @@ def get_online_features(
             >>> online_response_dict = online_response.to_dict()
         """
         _feature_refs = self._get_features(features, feature_refs)
-        all_feature_views = self._list_feature_views(
-            allow_cache=True, hide_dummy_entity=False
-        )
-        all_on_demand_feature_views = self._registry.list_on_demand_feature_views(
-            project=self.project, allow_cache=True
+        all_feature_views, all_on_demand_feature_views = self._get_feature_views_to_use(
+            features=features, allow_cache=True, hide_dummy_entity=False
         )
 
         _validate_feature_refs(_feature_refs, full_feature_names)
@@ -1018,6 +1020,43 @@ def _augment_response_with_on_demand_transforms(
                     ] = GetOnlineFeaturesResponse.FieldStatus.PRESENT
         return OnlineResponse(GetOnlineFeaturesResponse(field_values=result_rows))
 
+    def _get_feature_views_to_use(
+        self,
+        features: Optional[Union[List[str], FeatureService]],
+        allow_cache=False,
+        hide_dummy_entity: bool = True,
+    ) -> Tuple[List[FeatureView], List[OnDemandFeatureView]]:
+
+        fvs = {
+            fv.name: fv
+            for fv in self._list_feature_views(allow_cache, hide_dummy_entity)
+        }
+
+        od_fvs = {
+            fv.name: fv
+            for fv in self._registry.list_on_demand_feature_views(
+                project=self.project, allow_cache=allow_cache
+            )
+        }
+
+        if isinstance(features, FeatureService):
+            for fv_name, projection in {
+                projection.name: projection
+                for projection in features.feature_view_projections
+            }.items():
+                if fv_name in fvs:
+                    fvs[fv_name].set_projection(projection)
+                elif fv_name in od_fvs:
+                    od_fvs[fv_name].set_projection(projection)
+                else:
+                    raise ValueError(
+                        f"The provided feature service {features.name} contains a reference to a feature view"
+                        f"{fv_name} which doesn't exist. Please make sure that you have created the feature view"
+                        f'{fv_name} and that you have registered it by running "apply".'
+                    )
+
+        return [*fvs.values()], [*od_fvs.values()]
+
     @log_exceptions_and_usage
     def serve(self, port: int) -> None:
         """Start the feature consumption server locally on a given port."""
@@ -1070,7 +1109,7 @@ def _validate_feature_refs(feature_refs: List[str], full_feature_names: bool = F
 
 
 def _group_feature_refs(
-    features: Union[List[str], FeatureService],
+    features: List[str],
     all_feature_views: List[FeatureView],
     all_on_demand_feature_views: List[OnDemandFeatureView],
 ) -> Tuple[
@@ -1090,21 +1129,14 @@ def _group_feature_refs(
     # on demand view name to feature names
     on_demand_view_features = defaultdict(list)
 
-    if isinstance(features, list) and isinstance(features[0], str):
-        for ref in features:
-            view_name, feat_name = ref.split(":")
-            if view_name in view_index:
-                views_features[view_name].append(feat_name)
-            elif view_name in on_demand_view_index:
-                on_demand_view_features[view_name].append(feat_name)
-            else:
-                raise FeatureViewNotFoundException(view_name)
-    elif isinstance(features, FeatureService):
-        for feature_projection in features.features:
-            projected_features = feature_projection.features
-            views_features[feature_projection.name].extend(
-                [f.name for f in projected_features]
-            )
+    for ref in features:
+        view_name, feat_name = ref.split(":")
+        if view_name in view_index:
+            views_features[view_name].append(feat_name)
+        elif view_name in on_demand_view_index:
+            on_demand_view_features[view_name].append(feat_name)
+        else:
+            raise FeatureViewNotFoundException(view_name)
 
     fvs_result: List[Tuple[FeatureView, List[str]]] = []
     odfvs_result: List[Tuple[OnDemandFeatureView, List[str]]] = []
@@ -1116,17 +1148,6 @@ def _group_feature_refs(
     return fvs_result, odfvs_result
 
 
-def _get_feature_refs_from_feature_services(
-    feature_service: FeatureService,
-) -> List[str]:
-    feature_refs = []
-    for projection in feature_service.features:
-        feature_refs.extend(
-            [f"{projection.name}:{f.name}" for f in projection.features]
-        )
-    return feature_refs
-
-
 def _get_table_entity_keys(
     table: FeatureView, entity_keys: List[EntityKeyProto], join_key_map: Dict[str, str],
 ) -> List[EntityKeyProto]:

sdk/python/feast/feature_view.py

@@ -78,6 +78,7 @@ class FeatureView:
     created_timestamp: Optional[datetime] = None
     last_updated_timestamp: Optional[datetime] = None
     materialization_intervals: List[Tuple[datetime, datetime]]
+    projection: FeatureViewProjection
 
     @log_exceptions
     def __init__(
@@ -141,6 +142,8 @@ def __init__(
         self.created_timestamp: Optional[datetime] = None
         self.last_updated_timestamp: Optional[datetime] = None
 
+        self.projection = FeatureViewProjection.from_definition(self)
+
     def __repr__(self):
         items = (f"{k} = {v}" for k, v in self.__dict__.items())
         return f"<{self.__class__.__name__}({', '.join(items)})>"
@@ -151,15 +154,17 @@ def __str__(self):
     def __hash__(self):
         return hash((id(self), self.name))
 
-    def __getitem__(self, item) -> FeatureViewProjection:
+    def __getitem__(self, item):
         assert isinstance(item, list)
 
         referenced_features = []
         for feature in self.features:
             if feature.name in item:
                 referenced_features.append(feature)
 
-        return FeatureViewProjection(self.name, referenced_features)
+        self.projection.features = referenced_features
+
+        return self
 
     def __eq__(self, other):
         if not isinstance(other, FeatureView):
@@ -283,6 +288,10 @@ def from_proto(cls, feature_view_proto: FeatureViewProto):
             stream_source=stream_source,
         )
 
+        # FeatureViewProjections are not saved in the FeatureView proto.
+        # Create the default projection.
+        feature_view.projection = FeatureViewProjection.from_definition(feature_view)
+
         if feature_view_proto.meta.HasField("created_timestamp"):
             feature_view.created_timestamp = (
                 feature_view_proto.meta.created_timestamp.ToDatetime()
@@ -379,3 +388,23 @@ def infer_features_from_batch_source(self, config: RepoConfig):
                     "FeatureView",
                     f"Could not infer Features for the FeatureView named {self.name}.",
                 )
+
+    def set_projection(self, feature_view_projection: FeatureViewProjection) -> None:
+        """
+        Setter for the projection object held by this FeatureView. Performs checks to ensure
+        the projection is consistent with this FeatureView before doing the set.
+
+        Args:
+            feature_view_projection: The FeatureViewProjection object to set this FeatureView's
+                'projection' field to.
+        """
+        assert feature_view_projection.name == self.name
+
+        for feature in feature_view_projection.features:
+            if feature not in self.features:
+                raise ValueError(
+                    f"The projection for {self.name} cannot be applied because it contains {feature.name} which the"
+                    "FeatureView doesn't have."
+                )
+
+        self.projection = feature_view_projection

sdk/python/feast/feature_view_projection.py

@@ -31,7 +31,7 @@ def from_proto(proto: FeatureViewProjectionProto):
         return ref
 
     @staticmethod
-    def from_definition(feature_definition):
+    def from_definition(feature_grouping):
         return FeatureViewProjection(
-            name=feature_definition.name, features=feature_definition.features
+            name=feature_grouping.name, features=feature_grouping.features
         )