Copybara import of the project:

--
b60cfed by Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com>:

feat: add public_endpoint_enabled and publid_endpoint_domain_name to IndexEndpoint
feat: add ModelSourceType.MODEL_GARDEN enum to ModelSourceInfo
feat: add copy to ModelSourceInfo

PiperOrigin-RevId: 520696120

Source-Link: googleapis/googleapis@e941b6a

Source-Link: googleapis/googleapis-gen@725c05d
Copy-Tag: eyJwIjoiLmdpdGh1Yi8uT3dsQm90LnlhbWwiLCJoIjoiNzI1YzA1ZGM1OWYxZTg1MWY5Nzc4YTdiY2I2NTA1NWUxNTg0MDk1NSJ9

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🦉 Updates from OwlBot post-processor

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--
c0fcaa6 by Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com>:

feat: add public_endpoint_enabled and publid_endpoint_domain_name to IndexEndpoint
feat: add ModelSourceType.MODEL_GARDEN enum to ModelSourceInfo
feat: add copy to ModelSourceInfo

PiperOrigin-RevId: 520696525

Source-Link: googleapis/googleapis@c14398a

Source-Link: googleapis/googleapis-gen@0df1e4b
Copy-Tag: eyJwIjoiLmdpdGh1Yi8uT3dsQm90LnlhbWwiLCJoIjoiMGRmMWU0YjZlODcyOTRmMjViN2MwODZlYTUzOWIyYjJmNzM4Y2Y1MCJ9

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--
2647285 by Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com>:

feat: Chrome OS Moblab API: add a new build label field to the Build resource proto

PiperOrigin-RevId: 520792552

Source-Link: googleapis/googleapis@53d620a

Source-Link: googleapis/googleapis-gen@d86abae
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COPYBARA_INTEGRATE_REVIEW=#2053 from googleapis:owl-bot-copy 88dea47
PiperOrigin-RevId: 521805363

google/cloud/aiplatform_v1/services/endpoint_service/async_client.py

@@ -306,11 +306,19 @@ async def sample_create_endpoint():
                 not provided, Vertex AI will generate a value for this
                 ID.
 
-                This value should be 1-10 characters, and valid
-                characters are /[0-9]/. When using HTTP/JSON, this field
-                is populated based on a query string argument, such as
-                ``?endpoint_id=12345``. This is the fallback for fields
-                that are not included in either the URI or the body.
+                If the first character is a letter, this value may be up
+                to 63 characters, and valid characters are
+                ``[a-z0-9-]``. The last character must be a letter or
+                number.
+
+                If the first character is a number, this value may be up
+                to 9 characters, and valid characters are ``[0-9]`` with
+                no leading zeros.
+
+                When using HTTP/JSON, this field is populated based on a
+                query string argument, such as ``?endpoint_id=12345``.
+                This is the fallback for fields that are not included in
+                either the URI or the body.
 
                 This corresponds to the ``endpoint_id`` field
                 on the ``request`` instance; if ``request`` is provided, this

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

@@ -586,11 +586,19 @@ def sample_create_endpoint():
                 not provided, Vertex AI will generate a value for this
                 ID.
 
-                This value should be 1-10 characters, and valid
-                characters are /[0-9]/. When using HTTP/JSON, this field
-                is populated based on a query string argument, such as
-                ``?endpoint_id=12345``. This is the fallback for fields
-                that are not included in either the URI or the body.
+                If the first character is a letter, this value may be up
+                to 63 characters, and valid characters are
+                ``[a-z0-9-]``. The last character must be a letter or
+                number.
+
+                If the first character is a number, this value may be up
+                to 9 characters, and valid characters are ``[0-9]`` with
+                no leading zeros.
+
+                When using HTTP/JSON, this field is populated based on a
+                query string argument, such as ``?endpoint_id=12345``.
+                This is the fallback for fields that are not included in
+                either the URI or the body.
 
                 This corresponds to the ``endpoint_id`` field
                 on the ``request`` instance; if ``request`` is provided, this

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

@@ -230,40 +230,40 @@ 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}/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
     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

google/cloud/aiplatform_v1/types/accelerator_type.py

@@ -30,7 +30,6 @@
 
 class AcceleratorType(proto.Enum):
     r"""Represents a hardware accelerator type.
-    NEXT ID: 11.
 
     Values:
         ACCELERATOR_TYPE_UNSPECIFIED (0):

google/cloud/aiplatform_v1/types/endpoint_service.py

@@ -60,11 +60,18 @@ class CreateEndpointRequest(proto.Message):
             final component of the endpoint resource name. If not
             provided, Vertex AI will generate a value for this ID.
 
-            This value should be 1-10 characters, and valid characters
-            are /[0-9]/. When using HTTP/JSON, this field is populated
-            based on a query string argument, such as
-            ``?endpoint_id=12345``. This is the fallback for fields that
-            are not included in either the URI or the body.
+            If the first character is a letter, this value may be up to
+            63 characters, and valid characters are ``[a-z0-9-]``. The
+            last character must be a letter or number.
+
+            If the first character is a number, this value may be up to
+            9 characters, and valid characters are ``[0-9]`` with no
+            leading zeros.
+
+            When using HTTP/JSON, this field is populated based on a
+            query string argument, such as ``?endpoint_id=12345``. This
+            is the fallback for fields that are not included in either
+            the URI or the body.
     """
 
     parent: str = proto.Field(

google/cloud/aiplatform_v1/types/featurestore_service.py

@@ -553,11 +553,8 @@ class BatchReadFeatureValuesRequest(proto.Message):
             will be automatically inferred. For CSV source, the
             pass-through values will be passed as opaque bytes.
         entity_type_specs (MutableSequence[google.cloud.aiplatform_v1.types.BatchReadFeatureValuesRequest.EntityTypeSpec]):
-            Required. Specifies EntityType grouping Features to read
-            values of and settings. Each EntityType referenced in
-            [BatchReadFeatureValuesRequest.entity_type_specs] must have
-            a column specifying entity IDs in the EntityType in
-            [BatchReadFeatureValuesRequest.request][] .
+            Required. Specifies EntityType grouping
+            Features to read values of and settings.
         start_time (google.protobuf.timestamp_pb2.Timestamp):
             Optional. Excludes Feature values with
             feature generation timestamp before this

google/cloud/aiplatform_v1/types/index_endpoint.py

@@ -111,6 +111,14 @@ class IndexEndpoint(proto.Message):
             and
             [private_service_connect_config][google.cloud.aiplatform.v1.IndexEndpoint.private_service_connect_config]
             are mutually exclusive.
+        public_endpoint_enabled (bool):
+            Optional. If true, the deployed index will be
+            accessible through public endpoint.
+        public_endpoint_domain_name (str):
+            Output only. If
+            [public_endpoint_enabled][google.cloud.aiplatform.v1.IndexEndpoint.public_endpoint_enabled]
+            is true, this field will be populated with the domain name
+            to use for this index endpoint.
     """
 
     name: str = proto.Field(
@@ -164,6 +172,14 @@ class IndexEndpoint(proto.Message):
             message=service_networking.PrivateServiceConnectConfig,
         )
     )
+    public_endpoint_enabled: bool = proto.Field(
+        proto.BOOL,
+        number=13,
+    )
+    public_endpoint_domain_name: str = proto.Field(
+        proto.STRING,
+        number=14,
+    )
 
 
 class DeployedIndex(proto.Message):
@@ -264,7 +280,7 @@ class DeployedIndex(proto.Message):
             be deployed to any ip ranges under the provided
             VPC network.
 
-            The value sohuld be the name of the address
+            The value should be the name of the address
             (https://cloud.google.com/compute/docs/reference/rest/v1/addresses)
             Example: 'vertex-ai-ip-range'.
         deployment_group (str):

google/cloud/aiplatform_v1/types/model.py

@@ -899,6 +899,10 @@ class ModelSourceInfo(proto.Message):
     Attributes:
         source_type (google.cloud.aiplatform_v1.types.ModelSourceInfo.ModelSourceType):
             Type of the model source.
+        copy (bool):
+            If this Model is copy of another Model. If true then
+            [source_type][google.cloud.aiplatform.v1.ModelSourceInfo.source_type]
+            pertains to the original.
     """
 
     class ModelSourceType(proto.Enum):
@@ -916,17 +920,25 @@ class ModelSourceType(proto.Enum):
             BQML (3):
                 The Model is registered and sync'ed from
                 BigQuery ML.
+            MODEL_GARDEN (4):
+                The Model is saved or tuned from Model
+                Garden.
         """
         MODEL_SOURCE_TYPE_UNSPECIFIED = 0
         AUTOML = 1
         CUSTOM = 2
         BQML = 3
+        MODEL_GARDEN = 4
 
     source_type: ModelSourceType = proto.Field(
         proto.ENUM,
         number=1,
         enum=ModelSourceType,
     )
+    copy: bool = proto.Field(
+        proto.BOOL,
+        number=2,
+    )
 
 
 __all__ = tuple(sorted(__protobuf__.manifest))

google/cloud/aiplatform_v1beta1/services/endpoint_service/async_client.py

@@ -312,11 +312,19 @@ async def sample_create_endpoint():
                 not provided, Vertex AI will generate a value for this
                 ID.
 
-                This value should be 1-10 characters, and valid
-                characters are /[0-9]/. When using HTTP/JSON, this field
-                is populated based on a query string argument, such as
-                ``?endpoint_id=12345``. This is the fallback for fields
-                that are not included in either the URI or the body.
+                If the first character is a letter, this value may be up
+                to 63 characters, and valid characters are
+                ``[a-z0-9-]``. The last character must be a letter or
+                number.
+
+                If the first character is a number, this value may be up
+                to 9 characters, and valid characters are ``[0-9]`` with
+                no leading zeros.
+
+                When using HTTP/JSON, this field is populated based on a
+                query string argument, such as ``?endpoint_id=12345``.
+                This is the fallback for fields that are not included in
+                either the URI or the body.
 
                 This corresponds to the ``endpoint_id`` field
                 on the ``request`` instance; if ``request`` is provided, this

google/cloud/aiplatform_v1beta1/services/endpoint_service/client.py

@@ -608,11 +608,19 @@ def sample_create_endpoint():
                 not provided, Vertex AI will generate a value for this
                 ID.
 
-                This value should be 1-10 characters, and valid
-                characters are /[0-9]/. When using HTTP/JSON, this field
-                is populated based on a query string argument, such as
-                ``?endpoint_id=12345``. This is the fallback for fields
-                that are not included in either the URI or the body.
+                If the first character is a letter, this value may be up
+                to 63 characters, and valid characters are
+                ``[a-z0-9-]``. The last character must be a letter or
+                number.
+
+                If the first character is a number, this value may be up
+                to 9 characters, and valid characters are ``[0-9]`` with
+                no leading zeros.
+
+                When using HTTP/JSON, this field is populated based on a
+                query string argument, such as ``?endpoint_id=12345``.
+                This is the fallback for fields that are not included in
+                either the URI or the body.
 
                 This corresponds to the ``endpoint_id`` field
                 on the ``request`` instance; if ``request`` is provided, this

google/cloud/aiplatform_v1beta1/services/migration_service/client.py

@@ -208,40 +208,40 @@ def parse_annotated_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_v1beta1/types/accelerator_type.py

@@ -30,7 +30,6 @@
 
 class AcceleratorType(proto.Enum):
     r"""Represents a hardware accelerator type.
-    NEXT ID: 11.
 
     Values:
         ACCELERATOR_TYPE_UNSPECIFIED (0):

google/cloud/aiplatform_v1beta1/types/endpoint_service.py

@@ -60,11 +60,18 @@ class CreateEndpointRequest(proto.Message):
             final component of the endpoint resource name. If not
             provided, Vertex AI will generate a value for this ID.
 
-            This value should be 1-10 characters, and valid characters
-            are /[0-9]/. When using HTTP/JSON, this field is populated
-            based on a query string argument, such as
-            ``?endpoint_id=12345``. This is the fallback for fields that
-            are not included in either the URI or the body.
+            If the first character is a letter, this value may be up to
+            63 characters, and valid characters are ``[a-z0-9-]``. The
+            last character must be a letter or number.
+
+            If the first character is a number, this value may be up to
+            9 characters, and valid characters are ``[0-9]`` with no
+            leading zeros.
+
+            When using HTTP/JSON, this field is populated based on a
+            query string argument, such as ``?endpoint_id=12345``. This
+            is the fallback for fields that are not included in either
+            the URI or the body.
     """
 
     parent: str = proto.Field(

google/cloud/aiplatform_v1beta1/types/featurestore_service.py

@@ -555,11 +555,8 @@ class BatchReadFeatureValuesRequest(proto.Message):
             will be automatically inferred. For CSV source, the
             pass-through values will be passed as opaque bytes.
         entity_type_specs (MutableSequence[google.cloud.aiplatform_v1beta1.types.BatchReadFeatureValuesRequest.EntityTypeSpec]):
-            Required. Specifies EntityType grouping Features to read
-            values of and settings. Each EntityType referenced in
-            [BatchReadFeatureValuesRequest.entity_type_specs] must have
-            a column specifying entity IDs in the EntityType in
-            [BatchReadFeatureValuesRequest.request][] .
+            Required. Specifies EntityType grouping
+            Features to read values of and settings.
         start_time (google.protobuf.timestamp_pb2.Timestamp):
             Optional. Excludes Feature values with
             feature generation timestamp before this