feature: Added support for feature group schema change and feature parameters

src/sagemaker/feature_store/feature_group.py

@@ -53,6 +53,7 @@
     OfflineStoreConfig,
     DataCatalogConfig,
     FeatureValue,
+    FeatureParameter,
 )
 
 logger = logging.getLogger(__name__)
@@ -537,6 +538,66 @@ def describe(self, next_token: str = None) -> Dict[str, Any]:
             feature_group_name=self.name, next_token=next_token
         )
 
+    def update(self, feature_additions: Sequence[FeatureDefinition]) -> Dict[str, Any]:
+        """Update a FeatureGroup and add new features from the given feature definitions.
+
+        Args:
+            feature_additions (Sequence[Dict[str, str]): list of feature definitions to be updated.
+
+        Returns:
+            Response dict from service.
+        """
+
+        return self.sagemaker_session.update_feature_group(
+            feature_group_name=self.name,
+            feature_additions=[
+                feature_addition.to_dict() for feature_addition in feature_additions
+            ],
+        )
+
+    def update_feature_metadata(
+        self,
+        feature_name: str,
+        description: str = None,
+        parameter_additions: Sequence[FeatureParameter] = None,
+        parameter_removals: Sequence[str] = None,
+    ) -> Dict[str, Any]:
+        """Update a feature metadata and add/remove metadata.
+
+        Args:
+            feature_name (str): name of the feature to update.
+            description (str): description of the feature to update.
+            parameter_additions (Sequence[Dict[str, str]): list of feature parameter to be added.
+            parameter_removals (Sequence[str]): list of feature parameter key to be removed.
+
+        Returns:
+            Response dict from service.
+        """
+        return self.sagemaker_session.update_feature_metadata(
+            feature_group_name=self.name,
+            feature_name=feature_name,
+            description=description,
+            parameter_additions=[
+                parameter_addition.to_dict() for parameter_addition in parameter_additions
+            ]
+            if parameter_additions is not None
+            else [],
+            parameter_removals=parameter_removals if parameter_removals is not None else [],
+        )
+
+    def describe_feature_metadata(self, feature_name: str) -> Dict[str, Any]:
+        """Describe feature metadata by feature name.
+
+        Args:
+            feature_name (str): name of the feature.
+        Returns:
+            Response dict from service.
+        """
+
+        return self.sagemaker_session.describe_feature_metadata(
+            feature_group_name=self.name, feature_name=feature_name
+        )
+
     def load_feature_definitions(
         self,
         data_frame: DataFrame,

src/sagemaker/feature_store/inputs.py

@@ -207,3 +207,27 @@ def to_dict(self) -> Dict[str, Any]:
             FeatureName=self.feature_name,
             ValueAsString=self.value_as_string,
         )
+
+
+@attr.s
+class FeatureParameter(Config):
+    """FeatureParameter for FeatureStore.
+
+    Attributes:
+        key (str): key of the parameter.
+        value (str): value of the parameter.
+    """
+
+    key: str = attr.ib(default=None)
+    value: str = attr.ib(default=None)
+
+    def to_dict(self) -> Dict[str, Any]:
+        """Construct a dictionary based on the attributes provided.
+
+        Returns:
+            dict represents the attributes.
+        """
+        return Config.construct_dict(
+            Key=self.key,
+            Value=self.value,
+        )

src/sagemaker/session.py

@@ -4076,7 +4076,7 @@ def describe_feature_group(
         """Describe a FeatureGroup by name in FeatureStore service.
 
         Args:
-            feature_group_name (str): name of the FeatureGroup to descibe.
+            feature_group_name (str): name of the FeatureGroup to describe.
             next_token (str): next_token to get next page of features.
         Returns:
             Response dict from service.
@@ -4086,6 +4086,72 @@ def describe_feature_group(
         update_args(kwargs, NextToken=next_token)
         return self.sagemaker_client.describe_feature_group(**kwargs)
 
+    def update_feature_group(
+        self, feature_group_name: str, feature_additions: Sequence[Dict[str, str]]
+    ) -> Dict[str, Any]:
+        """Update a FeatureGroup and add new features from the given feature definitions.
+
+        Args:
+            feature_group_name (str): name of the FeatureGroup to update.
+            feature_additions (Sequence[Dict[str, str]): list of feature definitions to be updated.
+        Returns:
+            Response dict from service.
+        """
+
+        return self.sagemaker_client.update_feature_group(
+            FeatureGroupName=feature_group_name, FeatureAdditions=feature_additions
+        )
+
+    def update_feature_metadata(
+        self,
+        feature_group_name: str,
+        feature_name: str,
+        description: str = None,
+        parameter_additions: Sequence[Dict[str, str]] = None,
+        parameter_removals: Sequence[str] = None,
+    ) -> Dict[str, Any]:
+        """Update a feature metadata and add/remove metadata.
+
+        Args:
+            feature_group_name (str): name of the FeatureGroup to update.
+            feature_name (str): name of the feature to update.
+            description (str): description of the feature to update.
+            parameter_additions (Sequence[Dict[str, str]): list of feature parameter to be added.
+            parameter_removals (Sequence[Dict[str, str]): list of feature parameter to be removed.
+        Returns:
+            Response dict from service.
+        """
+
+        request = {
+            "FeatureGroupName": feature_group_name,
+            "FeatureName": feature_name,
+        }
+
+        if description is not None:
+            request["Description"] = description
+        if parameter_additions is not None:
+            request["ParameterAdditions"] = parameter_additions
+        if parameter_removals is not None:
+            request["ParameterRemovals"] = parameter_removals
+
+        return self.sagemaker_client.update_feature_metadata(**request)
+
+    def describe_feature_metadata(
+        self, feature_group_name: str, feature_name: str
+    ) -> Dict[str, Any]:
+        """Describe feature metadata by feature name in FeatureStore service.
+
+        Args:
+            feature_group_name (str): name of the FeatureGroup.
+            feature_name (str): name of the feature.
+        Returns:
+            Response dict from service.
+        """
+
+        return self.sagemaker_client.describe_feature_metadata(
+            FeatureGroupName=feature_group_name, FeatureName=feature_name
+        )
+
     def put_record(
         self,
         feature_group_name: str,

tests/integ/test_feature_store.py

@@ -22,8 +22,9 @@
 import pytest
 from pandas import DataFrame
 
+from sagemaker.feature_store.feature_definition import FractionalFeatureDefinition
 from sagemaker.feature_store.feature_group import FeatureGroup
-from sagemaker.feature_store.inputs import FeatureValue
+from sagemaker.feature_store.inputs import FeatureValue, FeatureParameter
 from sagemaker.session import get_execution_role, Session
 from tests.integ.timeout import timeout
 
@@ -237,6 +238,83 @@ def test_create_feature_store(
     assert output["FeatureGroupArn"].endswith(f"feature-group/{feature_group_name}")
 
 
+def test_update_feature_group(
+    feature_store_session,
+    role,
+    feature_group_name,
+    offline_store_s3_uri,
+    pandas_data_frame,
+):
+    feature_group = FeatureGroup(name=feature_group_name, sagemaker_session=feature_store_session)
+    feature_group.load_feature_definitions(data_frame=pandas_data_frame)
+
+    with cleanup_feature_group(feature_group):
+        feature_group.create(
+            s3_uri=offline_store_s3_uri,
+            record_identifier_name="feature1",
+            event_time_feature_name="feature3",
+            role_arn=role,
+            enable_online_store=True,
+        )
+        _wait_for_feature_group_create(feature_group)
+
+        new_feature_name = "new_feature"
+        new_features = [FractionalFeatureDefinition(feature_name=new_feature_name)]
+        feature_group.update(new_features)
+        _wait_for_feature_group_update(feature_group)
+        feature_definitions = feature_group.describe().get("FeatureDefinitions")
+        assert any([True for elem in feature_definitions if new_feature_name in elem.values()])
+
+
+def test_feature_metadata(
+    feature_store_session,
+    role,
+    feature_group_name,
+    offline_store_s3_uri,
+    pandas_data_frame,
+):
+    feature_group = FeatureGroup(name=feature_group_name, sagemaker_session=feature_store_session)
+    feature_group.load_feature_definitions(data_frame=pandas_data_frame)
+
+    with cleanup_feature_group(feature_group):
+        feature_group.create(
+            s3_uri=offline_store_s3_uri,
+            record_identifier_name="feature1",
+            event_time_feature_name="feature3",
+            role_arn=role,
+            enable_online_store=True,
+        )
+        _wait_for_feature_group_create(feature_group)
+
+        parameter_additions = [
+            FeatureParameter(key="key1", value="value1"),
+            FeatureParameter(key="key2", value="value2"),
+        ]
+        description = "test description"
+        feature_name = "feature1"
+        feature_group.update_feature_metadata(
+            feature_name=feature_name,
+            description=description,
+            parameter_additions=parameter_additions,
+        )
+        describe_feature_metadata = feature_group.describe_feature_metadata(
+            feature_name=feature_name
+        )
+        print(describe_feature_metadata)
+        assert description == describe_feature_metadata.get("Description")
+        assert 2 == len(describe_feature_metadata.get("Parameters"))
+
+        parameter_removals = ["key1"]
+        feature_group.update_feature_metadata(
+            feature_name=feature_name, parameter_removals=parameter_removals
+        )
+        describe_feature_metadata = feature_group.describe_feature_metadata(
+            feature_name=feature_name
+        )
+        assert description == describe_feature_metadata.get("Description")
+        assert 1 == len(describe_feature_metadata.get("Parameters"))
+
+
 def test_ingest_without_string_feature(
     feature_store_session,
     role,
@@ -304,6 +382,18 @@ def _wait_for_feature_group_create(feature_group: FeatureGroup):
     print(f"FeatureGroup {feature_group.name} successfully created.")
 
 
+def _wait_for_feature_group_update(feature_group: FeatureGroup):
+    status = feature_group.describe().get("LastUpdateStatus").get("Status")
+    while status == "InProgress":
+        print("Waiting for Feature Group Update")
+        time.sleep(5)
+        status = feature_group.describe().get("LastUpdateStatus").get("Status")
+    if status != "Successful":
+        print(feature_group.describe())
+        raise RuntimeError(f"Failed to update feature group {feature_group.name}")
+    print(f"FeatureGroup {feature_group.name} successfully updated.")
+
+
 @contextmanager
 def cleanup_feature_group(feature_group: FeatureGroup):
     try:

tests/unit/sagemaker/feature_store/test_feature_store.py

@@ -31,6 +31,7 @@
     AthenaQuery,
     IngestionError,
 )
+from sagemaker.feature_store.inputs import FeatureParameter
 
 
 class PicklableMock(Mock):
@@ -154,6 +155,52 @@ def test_feature_store_describe(sagemaker_session_mock):
     )
 
 
+def test_feature_store_update(sagemaker_session_mock, feature_group_dummy_definitions):
+    feature_group = FeatureGroup(name="MyFeatureGroup", sagemaker_session=sagemaker_session_mock)
+    feature_group.update(feature_group_dummy_definitions)
+    sagemaker_session_mock.update_feature_group.assert_called_with(
+        feature_group_name="MyFeatureGroup",
+        feature_additions=[fd.to_dict() for fd in feature_group_dummy_definitions],
+    )
+
+
+def test_feature_metadata_update(sagemaker_session_mock):
+    feature_group = FeatureGroup(name="MyFeatureGroup", sagemaker_session=sagemaker_session_mock)
+
+    parameter_additions = [FeatureParameter(key="key1", value="value1")]
+    parameter_removals = ["key2"]
+
+    feature_group.update_feature_metadata(
+        feature_name="Feature1",
+        description="TestDescription",
+        parameter_additions=parameter_additions,
+        parameter_removals=parameter_removals,
+    )
+    sagemaker_session_mock.update_feature_metadata.assert_called_with(
+        feature_group_name="MyFeatureGroup",
+        feature_name="Feature1",
+        description="TestDescription",
+        parameter_additions=[pa.to_dict() for pa in parameter_additions],
+        parameter_removals=parameter_removals,
+    )
+    feature_group.update_feature_metadata(feature_name="Feature1", description="TestDescription")
+    sagemaker_session_mock.update_feature_metadata.assert_called_with(
+        feature_group_name="MyFeatureGroup",
+        feature_name="Feature1",
+        description="TestDescription",
+        parameter_additions=[],
+        parameter_removals=[],
+    )
+
+
+def test_feature_metadata_describe(sagemaker_session_mock):
+    feature_group = FeatureGroup(name="MyFeatureGroup", sagemaker_session=sagemaker_session_mock)
+    feature_group.describe_feature_metadata(feature_name="Feature1")
+    sagemaker_session_mock.describe_feature_metadata.assert_called_with(
+        feature_group_name="MyFeatureGroup", feature_name="Feature1"
+    )
+
+
 def test_put_record(sagemaker_session_mock):
     feature_group = FeatureGroup(name="MyFeatureGroup", sagemaker_session=sagemaker_session_mock)
     feature_group.put_record(record=[])

tests/unit/sagemaker/feature_store/test_inputs.py

@@ -19,6 +19,7 @@
     S3StorageConfig,
     DataCatalogConfig,
     OfflineStoreConfig,
+    FeatureParameter,
 )
 
 
@@ -83,3 +84,8 @@ def test_offline_data_store_config():
             "DisableGlueTableCreation": False,
         }
     )
+
+
+def test_feature_metadata():
+    config = FeatureParameter(key="key", value="value")
+    assert ordered(config.to_dict()) == ordered({"Key": "key", "Value": "value"})