fix: Implement apply_materialziation and infra methods in sql registry

Signed-off-by: Achal Shah <achals@gmail.com>

sdk/python/feast/infra/registry_stores/sql.py

@@ -1,7 +1,7 @@
 from datetime import datetime
 from pathlib import Path
 from threading import Lock
-from typing import Any, List, Optional
+from typing import Any, List, Optional, Union
 
 from sqlalchemy import (  # type: ignore
     BigInteger,
@@ -39,6 +39,7 @@
     FeatureService as FeatureServiceProto,
 )
 from feast.protos.feast.core.FeatureView_pb2 import FeatureView as FeatureViewProto
+from feast.protos.feast.core.InfraObject_pb2 import Infra as InfraProto
 from feast.protos.feast.core.OnDemandFeatureView_pb2 import (
     OnDemandFeatureView as OnDemandFeatureViewProto,
 )
@@ -138,6 +139,14 @@
     Column("validation_reference_proto", LargeBinary, nullable=False),
 )
 
+managed_infra = Table(
+    "managed_infra",
+    metadata,
+    Column("infra_name", String(50), primary_key=True),
+    Column("last_updated_timestamp", BigInteger, nullable=False),
+    Column("infra_proto", LargeBinary, nullable=False),
+)
+
 
 class SqlRegistry(BaseRegistry):
     def __init__(
@@ -168,6 +177,7 @@ def teardown(self):
                 conn.execute(stmt)
 
     def refresh(self):
+        # This method is a no-op since we're always reading the latest values from the db.
         pass
 
     def get_stream_feature_view(
@@ -353,16 +363,7 @@ def apply_data_source(
     def apply_feature_view(
         self, feature_view: BaseFeatureView, project: str, commit: bool = True
     ):
-        if isinstance(feature_view, StreamFeatureView):
-            fv_table = stream_feature_views
-        elif isinstance(feature_view, FeatureView):
-            fv_table = feature_views
-        elif isinstance(feature_view, OnDemandFeatureView):
-            fv_table = on_demand_feature_views
-        elif isinstance(feature_view, RequestFeatureView):
-            fv_table = request_feature_views
-        else:
-            raise ValueError(f"Unexpected feature view type: {type(feature_view)}")
+        fv_table = self._infer_fv_table(feature_view)
 
         return self._apply_object(
             fv_table, "feature_view_name", feature_view, "feature_view_proto"
@@ -457,7 +458,25 @@ def apply_materialization(
         end_date: datetime,
         commit: bool = True,
     ):
-        pass
+        table = self._infer_fv_table(feature_view)
+        python_class, proto_class = self._infer_fv_classes(feature_view)
+
+        if python_class in {RequestFeatureView, OnDemandFeatureView}:
+            raise ValueError(
+                f"Cannot apply materialization for feature {feature_view.name} of type {python_class}"
+            )
+        fv: Union[FeatureView, StreamFeatureView] = self._get_object(
+            table,
+            feature_view.name,
+            project,
+            proto_class,
+            python_class,
+            "feature_view_name",
+            "feature_view_proto",
+            FeatureViewNotFoundException,
+        )
+        fv.materialization_intervals.append((start_date, end_date))
+        self._apply_object(table, "feature_view_name", fv, "feature_view_proto")
 
     def delete_validation_reference(self, name: str, project: str, commit: bool = True):
         self._delete_object(
@@ -469,27 +488,29 @@ def delete_validation_reference(self, name: str, project: str, commit: bool = Tr
         )
 
     def update_infra(self, infra: Infra, project: str, commit: bool = True):
-        pass
+        self._apply_object(
+            managed_infra, "infra_name", infra, "infra_proto", name="infra_obj"
+        )
 
     def get_infra(self, project: str, allow_cache: bool = False) -> Infra:
-        return Infra()
+        return self._get_object(
+            managed_infra,
+            "infra_obj",
+            project,
+            InfraProto,
+            Infra,
+            "infra_name",
+            "infra_proto",
+            None,
+        )
 
     def apply_user_metadata(
         self,
         project: str,
         feature_view: BaseFeatureView,
         metadata_bytes: Optional[bytes],
     ):
-        if isinstance(feature_view, StreamFeatureView):
-            table = stream_feature_views
-        elif isinstance(feature_view, FeatureView):
-            table = feature_views
-        elif isinstance(feature_view, OnDemandFeatureView):
-            table = on_demand_feature_views
-        elif isinstance(feature_view, RequestFeatureView):
-            table = request_feature_views
-        else:
-            raise ValueError(f"Unexpected feature view type: {type(feature_view)}")
+        table = self._infer_fv_table(feature_view)
 
         name = feature_view.name
         with self.engine.connect() as conn:
@@ -511,9 +532,7 @@ def apply_user_metadata(
             else:
                 raise FeatureViewNotFoundException(feature_view.name, project=project)
 
-    def get_user_metadata(
-        self, project: str, feature_view: BaseFeatureView
-    ) -> Optional[bytes]:
+    def _infer_fv_table(self, feature_view):
         if isinstance(feature_view, StreamFeatureView):
             table = stream_feature_views
         elif isinstance(feature_view, FeatureView):
@@ -524,6 +543,25 @@ def get_user_metadata(
             table = request_feature_views
         else:
             raise ValueError(f"Unexpected feature view type: {type(feature_view)}")
+        return table
+
+    def _infer_fv_classes(self, feature_view):
+        if isinstance(feature_view, StreamFeatureView):
+            python_class, proto_class = StreamFeatureView, StreamFeatureViewProto
+        elif isinstance(feature_view, FeatureView):
+            python_class, proto_class = FeatureView, FeatureViewProto
+        elif isinstance(feature_view, OnDemandFeatureView):
+            python_class, proto_class = OnDemandFeatureView, OnDemandFeatureViewProto
+        elif isinstance(feature_view, RequestFeatureView):
+            python_class, proto_class = RequestFeatureView, RequestFeatureViewProto
+        else:
+            raise ValueError(f"Unexpected feature view type: {type(feature_view)}")
+        return python_class, proto_class
+
+    def get_user_metadata(
+        self, project: str, feature_view: BaseFeatureView
+    ) -> Optional[bytes]:
+        table = self._infer_fv_table(feature_view)
 
         name = feature_view.name
         with self.engine.connect() as conn:
@@ -556,12 +594,11 @@ def proto(self) -> RegistryProto:
         return r
 
     def commit(self):
+        # This method is a no-op since we're always writing values eagerly to the db.
         pass
 
-    def _apply_object(
-        self, table, id_field_name, obj, proto_field_name,
-    ):
-        name = obj.name
+    def _apply_object(self, table, id_field_name, obj, proto_field_name, name=None):
+        name = name or obj.name
         with self.engine.connect() as conn:
             stmt = select(table).where(getattr(table.c, id_field_name) == name)
             row = conn.execute(stmt).first()