fix: Add changes to Feature View Pydantic model to support timestamps (…

…#86)

* Add changes to Pydantic model to support timestamps

* Fix lint error

* Fix lint errors

sdk/python/feast/expediagroup/pydantic_models/feature_view_model.py

@@ -70,6 +70,8 @@ class FeatureViewModel(BaseFeatureViewModel):
     tags: Optional[Dict[str, str]]
     owner: str
     materialization_intervals: List[Tuple[datetime, datetime]] = []
+    created_timestamp: Optional[datetime]
+    last_updated_timestamp: Optional[datetime]
 
     def to_feature_view(self) -> FeatureView:
         """
@@ -107,6 +109,8 @@ def to_feature_view(self) -> FeatureView:
             owner=self.owner,
         )
         feature_view.materialization_intervals = self.materialization_intervals
+        feature_view.created_timestamp = self.created_timestamp
+        feature_view.last_updated_timestamp = self.last_updated_timestamp
 
         return feature_view
 
@@ -160,6 +164,8 @@ def from_feature_view(
             tags=feature_view.tags if feature_view.tags else None,
             owner=feature_view.owner,
             materialization_intervals=feature_view.materialization_intervals,
+            created_timestamp=feature_view.created_timestamp,
+            last_updated_timestamp=feature_view.last_updated_timestamp,
         )
 
 
@@ -214,6 +220,8 @@ class OnDemandFeatureViewModel(BaseFeatureViewModel):
     description: str
     tags: Dict[str, str]
     owner: str
+    created_timestamp: Optional[datetime] = None
+    last_updated_timestamp: Optional[datetime] = None
 
     def to_feature_view(self) -> OnDemandFeatureView:
         source_request_sources = dict()
@@ -231,7 +239,7 @@ def to_feature_view(self) -> OnDemandFeatureView:
                     key
                 ] = feature_view_projection.to_feature_view_projection()
 
-        return OnDemandFeatureView(
+        odfv = OnDemandFeatureView(
             name=self.name,
             schema=[sch.to_field() for sch in self.features],
             sources=list(source_feature_view_projections.values())
@@ -242,6 +250,9 @@ def to_feature_view(self) -> OnDemandFeatureView:
             tags=self.tags,
             owner=self.owner,
         )
+        odfv.created_timestamp = self.created_timestamp
+        odfv.last_updated_timestamp = self.last_updated_timestamp
+        return odfv
 
     @classmethod
     def from_feature_view(
@@ -283,4 +294,6 @@ def from_feature_view(
             description=on_demand_feature_view.description,
             tags=on_demand_feature_view.tags,
             owner=on_demand_feature_view.owner,
+            created_timestamp=on_demand_feature_view.created_timestamp,
+            last_updated_timestamp=on_demand_feature_view.last_updated_timestamp,
         )

sdk/python/tests/unit/test_pydantic_models.py

@@ -314,6 +314,15 @@ def test_idempotent_featureview_conversion():
     feature_view_model = FeatureViewModel.from_feature_view(feature_view)
     feature_view_b = feature_view_model.to_feature_view()
     assert feature_view == feature_view_b
+    assert feature_view_model.created_timestamp == feature_view.created_timestamp
+    assert (
+        feature_view_model.last_updated_timestamp == feature_view.last_updated_timestamp
+    )
+    assert feature_view_b.created_timestamp == feature_view_model.created_timestamp
+    assert (
+        feature_view_b.last_updated_timestamp
+        == feature_view_model.last_updated_timestamp
+    )
 
     spark_source = SparkSource(
         name="sparky_sparky_boom_man",
@@ -386,6 +395,15 @@ def test_idempotent_featureview_with_streaming_source_conversion():
     feature_view_model = FeatureViewModel.from_feature_view(feature_view)
     feature_view_b = feature_view_model.to_feature_view()
     assert feature_view == feature_view_b
+    assert feature_view_model.created_timestamp == feature_view.created_timestamp
+    assert (
+        feature_view_model.last_updated_timestamp == feature_view.last_updated_timestamp
+    )
+    assert feature_view_b.created_timestamp == feature_view_model.created_timestamp
+    assert (
+        feature_view_b.last_updated_timestamp
+        == feature_view_model.last_updated_timestamp
+    )
 
     spark_source = SparkSource(
         name="sparky_sparky_boom_man",
@@ -595,6 +613,13 @@ def calculate_distance_demo_go(features_df: pd.DataFrame) -> pd.DataFrame:
     pydantic_obj = OnDemandFeatureViewModel.from_feature_view(python_obj)
     converted_python_obj = pydantic_obj.to_feature_view()
     assert python_obj == converted_python_obj
+    assert pydantic_obj.created_timestamp == python_obj.created_timestamp
+    assert pydantic_obj.last_updated_timestamp == python_obj.last_updated_timestamp
+    assert converted_python_obj.created_timestamp == pydantic_obj.created_timestamp
+    assert (
+        converted_python_obj.last_updated_timestamp
+        == pydantic_obj.last_updated_timestamp
+    )
 
     feast_proto = converted_python_obj.to_proto()
     python_obj_from_proto = OnDemandFeatureView.from_proto(feast_proto)