🦉 Updates from OwlBot post-processor

See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md

google/cloud/aiplatform_v1/services/migration_service/client.py

@@ -262,40 +262,40 @@ def parse_dataset_path(path: str) -> Dict[str, str]:
     @staticmethod
     def dataset_path(
         project: str,
-        location: str,
         dataset: str,
     ) -> str:
         """Returns a fully-qualified dataset string."""
-        return "projects/{project}/locations/{location}/datasets/{dataset}".format(
+        return "projects/{project}/datasets/{dataset}".format(
             project=project,
-            location=location,
             dataset=dataset,
         )
 
     @staticmethod
     def parse_dataset_path(path: str) -> Dict[str, str]:
         """Parses a dataset path into its component segments."""
-        m = re.match(
-            r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/datasets/(?P<dataset>.+?)$",
-            path,
-        )
+        m = re.match(r"^projects/(?P<project>.+?)/datasets/(?P<dataset>.+?)$", path)
         return m.groupdict() if m else {}
 
     @staticmethod
     def dataset_path(
         project: str,
+        location: str,
         dataset: str,
     ) -> str:
         """Returns a fully-qualified dataset string."""
-        return "projects/{project}/datasets/{dataset}".format(
+        return "projects/{project}/locations/{location}/datasets/{dataset}".format(
             project=project,
+            location=location,
             dataset=dataset,
         )
 
     @staticmethod
     def parse_dataset_path(path: str) -> Dict[str, str]:
         """Parses a dataset path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)/datasets/(?P<dataset>.+?)$", path)
+        m = re.match(
+            r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/datasets/(?P<dataset>.+?)$",
+            path,
+        )
         return m.groupdict() if m else {}
 
     @staticmethod

google/cloud/aiplatform_v1/types/feature_online_store_service.py

@@ -318,11 +318,11 @@ class StringFilter(proto.Message):
     class NumericFilter(proto.Message):
         r"""Numeric filter is used to search a subset of the entities by using
         boolean rules on numeric columns. For example: Database Point 0:
-        {name: “a” value_int: 42} {name: “b” value_float: 1.0} Database
-        Point 1: {name: “a” value_int: 10} {name: “b” value_float: 2.0}
-        Database Point 2: {name: “a” value_int: -1} {name: “b” value_float:
-        3.0} Query: {name: “a” value_int: 12 operator: LESS} // Matches
-        Point 1, 2 {name: “b” value_float: 2.0 operator: EQUAL} // Matches
+        {name: "a" value_int: 42} {name: "b" value_float: 1.0} Database
+        Point 1: {name: "a" value_int: 10} {name: "b" value_float: 2.0}
+        Database Point 2: {name: "a" value_int: -1} {name: "b" value_float:
+        3.0} Query: {name: "a" value_int: 12 operator: LESS} // Matches
+        Point 1, 2 {name: "b" value_float: 2.0 operator: EQUAL} // Matches
         Point 1
 
         This message has `oneof`_ fields (mutually exclusive fields).
@@ -356,7 +356,7 @@ class NumericFilter(proto.Message):
         """
 
         class Operator(proto.Enum):
-            r"""Datapoints for which Operator is true relative to the query’s
+            r"""Datapoints for which Operator is true relative to the query's
             Value field will be allowlisted.
 
             Values:

google/cloud/aiplatform_v1/types/feature_view.py

@@ -19,6 +19,7 @@
 
 import proto  # type: ignore
 
+from google.cloud.aiplatform_v1.types import machine_resources
 from google.protobuf import timestamp_pb2  # type: ignore
 
 
@@ -100,6 +101,9 @@ class FeatureView(proto.Message):
             data, so that approximate nearest neighbor
             (a.k.a ANN) algorithms search can be performed
             during online serving.
+        optimized_config (google.cloud.aiplatform_v1.types.FeatureView.OptimizedConfig):
+            Optional. Configuration for FeatureView
+            created under Optimized FeatureOnlineStore.
         service_agent_type (google.cloud.aiplatform_v1.types.FeatureView.ServiceAgentType):
             Optional. Service agent type used during data sync. By
             default, the Vertex AI Service Agent is used. When using an
@@ -413,6 +417,26 @@ class VertexRagSource(proto.Message):
             number=2,
         )
 
+    class OptimizedConfig(proto.Message):
+        r"""Configuration for FeatureViews created in Optimized
+        FeatureOnlineStore.
+
+        Attributes:
+            automatic_resources (google.cloud.aiplatform_v1.types.AutomaticResources):
+                Optional. A description of resources that the FeatureView
+                uses, which to large degree are decided by Vertex AI, and
+                optionally allows only a modest additional configuration. If
+                min_replica_count is not set, the default value is 2. If
+                max_replica_count is not set, the default value is 6. The
+                max allowed replica count is 1000.
+        """
+
+        automatic_resources: machine_resources.AutomaticResources = proto.Field(
+            proto.MESSAGE,
+            number=7,
+            message=machine_resources.AutomaticResources,
+        )
+
     big_query_source: BigQuerySource = proto.Field(
         proto.MESSAGE,
         number=6,
@@ -464,6 +488,11 @@ class VertexRagSource(proto.Message):
         number=15,
         message=IndexConfig,
     )
+    optimized_config: OptimizedConfig = proto.Field(
+        proto.MESSAGE,
+        number=16,
+        message=OptimizedConfig,
+    )
     service_agent_type: ServiceAgentType = proto.Field(
         proto.ENUM,
         number=14,