fix: project/location parsing for nested resources

google/cloud/aiplatform/base.py

@@ -1077,6 +1077,13 @@ def _list(
         Returns:
             List[VertexAiResourceNoun] - A list of SDK resource objects
         """
+        if parent:
+            parent_resources = utils.extract_project_and_location_from_parent(parent)
+            if parent_resources:
+                project, location = (
+                    parent_resources["project"],
+                    parent_resources["location"],
+                )
 
         resource = cls._empty_constructor(
             project=project, location=location, credentials=credentials

google/cloud/aiplatform/utils/__init__.py

@@ -325,6 +325,34 @@ def extract_bucket_and_prefix_from_gcs_path(gcs_path: str) -> Tuple[str, Optiona
     return (gcs_bucket, gcs_blob_prefix)
 
 
+def extract_project_and_location_from_parent(
+    parent: str,
+) -> Dict[str, str]:
+    """Given a complete parent resource name, return the project and location as a dict.
+
+    Example Usage:
+
+        parent_resources = extract_project_and_location_from_parent(
+            "projects/123/locations/us-central1/datasets/456"
+        )
+
+        parent_resources["project"] = "123"
+        parent_resources["location"] = "us-central1"
+
+    Args:
+        parent (str):
+            Required. A complete parent resource name.
+
+    Returns:
+        Dict[str, str]
+            A project, location dict from provided parent resource name.
+    """
+    parent_resources = re.match(
+        r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)(/|$)", parent
+    )
+    return parent_resources.groupdict() if parent_resources else {}
+
+
 class ClientWithOverride:
     class WrappedClient:
         """Wrapper class for client that creates client at API invocation

tests/unit/aiplatform/test_featurestores.py

@@ -1023,7 +1023,23 @@ def test_list_entity_types(self, list_entity_types_mock):
         aiplatform.init(project=_TEST_PROJECT)
 
         my_featurestore = aiplatform.Featurestore(
-            featurestore_name=_TEST_FEATURESTORE_ID
+            featurestore_name=_TEST_FEATURESTORE_ID,
+        )
+        my_entity_type_list = my_featurestore.list_entity_types()
+
+        list_entity_types_mock.assert_called_once_with(
+            request={"parent": _TEST_FEATURESTORE_NAME}
+        )
+        assert len(my_entity_type_list) == len(_TEST_ENTITY_TYPE_LIST)
+        for my_entity_type in my_entity_type_list:
+            assert type(my_entity_type) == aiplatform.EntityType
+
+    @pytest.mark.usefixtures("get_featurestore_mock")
+    def test_list_entity_types_with_no_init(self, list_entity_types_mock):
+        my_featurestore = aiplatform.Featurestore(
+            featurestore_name=_TEST_FEATURESTORE_ID,
+            project=_TEST_PROJECT,
+            location=_TEST_LOCATION,
         )
         my_entity_type_list = my_featurestore.list_entity_types()
 
@@ -1762,7 +1778,7 @@ def test_update_entity_type(self, update_entity_type_mock):
     @pytest.mark.parametrize(
         "featurestore_name", [_TEST_FEATURESTORE_NAME, _TEST_FEATURESTORE_ID]
     )
-    def test_list_entity_types(self, featurestore_name, list_entity_types_mock):
+    def test_list_entity_type(self, featurestore_name, list_entity_types_mock):
         aiplatform.init(project=_TEST_PROJECT)
 
         my_entity_type_list = aiplatform.EntityType.list(
@@ -1790,6 +1806,23 @@ def test_list_features(self, list_features_mock):
         for my_feature in my_feature_list:
             assert type(my_feature) == aiplatform.Feature
 
+    @pytest.mark.usefixtures("get_entity_type_mock")
+    def test_list_features_with_no_init(self, list_features_mock):
+        my_entity_type = aiplatform.EntityType(
+            entity_type_name=_TEST_ENTITY_TYPE_ID,
+            featurestore_id=_TEST_FEATURESTORE_ID,
+            project=_TEST_PROJECT,
+            location=_TEST_LOCATION
+        )
+        my_feature_list = my_entity_type.list_features()
+
+        list_features_mock.assert_called_once_with(
+            request={"parent": _TEST_ENTITY_TYPE_NAME}
+        )
+        assert len(my_feature_list) == len(_TEST_FEATURE_LIST)
+        for my_feature in my_feature_list:
+            assert type(my_feature) == aiplatform.Feature
+
     @pytest.mark.parametrize("sync", [True, False])
     @pytest.mark.usefixtures("get_entity_type_mock", "get_feature_mock")
     def test_delete_features(self, delete_feature_mock, sync):

tests/unit/aiplatform/test_utils.py

@@ -320,6 +320,30 @@ def test_extract_bucket_and_prefix_from_gcs_path(gcs_path: str, expected: tuple)
     assert expected == utils.extract_bucket_and_prefix_from_gcs_path(gcs_path)
 
 
+@pytest.mark.parametrize(
+    "parent, expected",
+    [
+        (
+            "projects/123/locations/us-central1/datasets/456",
+            {"project": "123", "location": "us-central1"},
+        ),
+        (
+            "projects/123/locations/us-central1/",
+            {"project": "123", "location": "us-central1"},
+        ),
+        (
+            "projects/123/locations/us-central1",
+            {"project": "123", "location": "us-central1"},
+        ),
+        ("projects/123/locations/", {}),
+        ("projects/123", {}),
+    ],
+)
+def test_extract_project_and_location_from_parent(parent: str, expected: tuple):
+    # Given a parent resource name, ensure correct project and location are extracted
+    assert expected == utils.extract_project_and_location_from_parent(parent)
+
+
 @pytest.mark.usefixtures("google_auth_mock")
 def test_wrapped_client():
     test_client_info = gapic_v1.client_info.ClientInfo()