feat: A new field predefined_metric_spec is added to message .google.cloud.aiplatform.v1beta1.Metric

google/cloud/aiplatform_v1/__init__.py

@@ -563,6 +563,8 @@
 from .types.io import SharePointSources
 from .types.io import SlackSource
 from .types.io import TFRecordDestination
+from .types.io import VertexMultimodalDatasetDestination
+from .types.io import VertexMultimodalDatasetSource
 from .types.job_service import CancelBatchPredictionJobRequest
 from .types.job_service import CancelCustomJobRequest
 from .types.job_service import CancelDataLabelingJobRequest
@@ -2198,6 +2200,8 @@ def _get_version(dependency_name):
     "Value",
     "VertexAISearch",
     "VertexAiSearchConfig",
+    "VertexMultimodalDatasetDestination",
+    "VertexMultimodalDatasetSource",
     "VertexRagDataServiceClient",
     "VertexRagServiceClient",
     "VertexRagStore",

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

@@ -507,7 +507,6 @@ async def sample_get_dataset():
             request (Optional[Union[google.cloud.aiplatform_v1.types.GetDatasetRequest, dict]]):
                 The request object. Request message for
                 [DatasetService.GetDataset][google.cloud.aiplatform.v1.DatasetService.GetDataset].
-                Next ID: 4
             name (:class:`str`):
                 Required. The name of the Dataset
                 resource.
@@ -1704,7 +1703,6 @@ async def sample_get_dataset_version():
             request (Optional[Union[google.cloud.aiplatform_v1.types.GetDatasetVersionRequest, dict]]):
                 The request object. Request message for
                 [DatasetService.GetDatasetVersion][google.cloud.aiplatform.v1.DatasetService.GetDatasetVersion].
-                Next ID: 4
             name (:class:`str`):
                 Required. The resource name of the Dataset version to
                 delete. Format:
@@ -2643,10 +2641,7 @@ async def list_annotations(
         timeout: Union[float, object] = gapic_v1.method.DEFAULT,
         metadata: Sequence[Tuple[str, Union[str, bytes]]] = (),
     ) -> pagers.ListAnnotationsAsyncPager:
-        r"""Lists Annotations belongs to a dataitem
-        This RPC is only available in InternalDatasetService. It
-        is only used for exporting conversation data to CCAI
-        Insights.
+        r"""Lists Annotations belongs to a dataitem.
 
         .. code-block:: python
 

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

@@ -1091,7 +1091,6 @@ def sample_get_dataset():
             request (Union[google.cloud.aiplatform_v1.types.GetDatasetRequest, dict]):
                 The request object. Request message for
                 [DatasetService.GetDataset][google.cloud.aiplatform.v1.DatasetService.GetDataset].
-                Next ID: 4
             name (str):
                 Required. The name of the Dataset
                 resource.
@@ -2261,7 +2260,6 @@ def sample_get_dataset_version():
             request (Union[google.cloud.aiplatform_v1.types.GetDatasetVersionRequest, dict]):
                 The request object. Request message for
                 [DatasetService.GetDatasetVersion][google.cloud.aiplatform.v1.DatasetService.GetDatasetVersion].
-                Next ID: 4
             name (str):
                 Required. The resource name of the Dataset version to
                 delete. Format:
@@ -3177,10 +3175,7 @@ def list_annotations(
         timeout: Union[float, object] = gapic_v1.method.DEFAULT,
         metadata: Sequence[Tuple[str, Union[str, bytes]]] = (),
     ) -> pagers.ListAnnotationsPager:
-        r"""Lists Annotations belongs to a dataitem
-        This RPC is only available in InternalDatasetService. It
-        is only used for exporting conversation data to CCAI
-        Insights.
+        r"""Lists Annotations belongs to a dataitem.
 
         .. code-block:: python
 

google/cloud/aiplatform_v1/services/dataset_service/transports/grpc.py

@@ -853,10 +853,7 @@ def list_annotations(
     ]:
         r"""Return a callable for the list annotations method over gRPC.
 
-        Lists Annotations belongs to a dataitem
-        This RPC is only available in InternalDatasetService. It
-        is only used for exporting conversation data to CCAI
-        Insights.
+        Lists Annotations belongs to a dataitem.
 
         Returns:
             Callable[[~.ListAnnotationsRequest],

google/cloud/aiplatform_v1/services/dataset_service/transports/grpc_asyncio.py

@@ -880,10 +880,7 @@ def list_annotations(
     ]:
         r"""Return a callable for the list annotations method over gRPC.
 
-        Lists Annotations belongs to a dataitem
-        This RPC is only available in InternalDatasetService. It
-        is only used for exporting conversation data to CCAI
-        Insights.
+        Lists Annotations belongs to a dataitem.
 
         Returns:
             Callable[[~.ListAnnotationsRequest],

google/cloud/aiplatform_v1/services/dataset_service/transports/rest.py

@@ -4569,7 +4569,6 @@ def __call__(
                 request (~.dataset_service.GetDatasetRequest):
                     The request object. Request message for
                 [DatasetService.GetDataset][google.cloud.aiplatform.v1.DatasetService.GetDataset].
-                Next ID: 4
                 retry (google.api_core.retry.Retry): Designation of what errors, if any,
                     should be retried.
                 timeout (float): The timeout for this request.
@@ -4720,7 +4719,6 @@ def __call__(
                 request (~.dataset_service.GetDatasetVersionRequest):
                     The request object. Request message for
                 [DatasetService.GetDatasetVersion][google.cloud.aiplatform.v1.DatasetService.GetDatasetVersion].
-                Next ID: 4
                 retry (google.api_core.retry.Retry): Designation of what errors, if any,
                     should be retried.
                 timeout (float): The timeout for this request.

google/cloud/aiplatform_v1/services/dataset_service/transports/rest_asyncio.py

@@ -2839,7 +2839,6 @@ async def __call__(
                 request (~.dataset_service.GetDatasetRequest):
                     The request object. Request message for
                 [DatasetService.GetDataset][google.cloud.aiplatform.v1.DatasetService.GetDataset].
-                Next ID: 4
                 retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                     should be retried.
                 timeout (float): The timeout for this request.
@@ -2999,7 +2998,6 @@ async def __call__(
                 request (~.dataset_service.GetDatasetVersionRequest):
                     The request object. Request message for
                 [DatasetService.GetDatasetVersion][google.cloud.aiplatform.v1.DatasetService.GetDatasetVersion].
-                Next ID: 4
                 retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                     should be retried.
                 timeout (float): The timeout for this request.

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

@@ -271,40 +271,40 @@ 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}/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/__init__.py

@@ -566,6 +566,8 @@
     SharePointSources,
     SlackSource,
     TFRecordDestination,
+    VertexMultimodalDatasetDestination,
+    VertexMultimodalDatasetSource,
 )
 from .job_service import (
     CancelBatchPredictionJobRequest,
@@ -1665,6 +1667,8 @@
     "SharePointSources",
     "SlackSource",
     "TFRecordDestination",
+    "VertexMultimodalDatasetDestination",
+    "VertexMultimodalDatasetSource",
     "CancelBatchPredictionJobRequest",
     "CancelCustomJobRequest",
     "CancelDataLabelingJobRequest",

google/cloud/aiplatform_v1/types/batch_prediction_job.py

@@ -273,6 +273,11 @@ class InputConfig(proto.Message):
                 additional columns that are not described by the
                 schema, and they will be ignored.
 
+                This field is a member of `oneof`_ ``source``.
+            vertex_multimodal_dataset_source (google.cloud.aiplatform_v1.types.VertexMultimodalDatasetSource):
+                A Vertex Managed Dataset. Currently, only
+                datasets of type Multimodal are supported.
+
                 This field is a member of `oneof`_ ``source``.
             instances_format (str):
                 Required. The format in which instances are given, must be
@@ -293,6 +298,14 @@ class InputConfig(proto.Message):
             oneof="source",
             message=io.BigQuerySource,
         )
+        vertex_multimodal_dataset_source: io.VertexMultimodalDatasetSource = (
+            proto.Field(
+                proto.MESSAGE,
+                number=4,
+                oneof="source",
+                message=io.VertexMultimodalDatasetSource,
+            )
+        )
         instances_format: str = proto.Field(
             proto.STRING,
             number=1,
@@ -489,6 +502,11 @@ class OutputConfig(proto.Message):
                 [google.rpc.Status][google.rpc.Status] represented as a
                 STRUCT, and containing only ``code`` and ``message``.
 
+                This field is a member of `oneof`_ ``destination``.
+            vertex_multimodal_dataset_destination (google.cloud.aiplatform_v1.types.VertexMultimodalDatasetDestination):
+                The details for a Vertex Multimodal Dataset
+                that will be created for the output.
+
                 This field is a member of `oneof`_ ``destination``.
             predictions_format (str):
                 Required. The format in which Vertex AI gives the
@@ -509,6 +527,14 @@ class OutputConfig(proto.Message):
             oneof="destination",
             message=io.BigQueryDestination,
         )
+        vertex_multimodal_dataset_destination: io.VertexMultimodalDatasetDestination = (
+            proto.Field(
+                proto.MESSAGE,
+                number=6,
+                oneof="destination",
+                message=io.VertexMultimodalDatasetDestination,
+            )
+        )
         predictions_format: str = proto.Field(
             proto.STRING,
             number=1,
@@ -537,6 +563,13 @@ class OutputInfo(proto.Message):
                 ``bq://projectId.bqDatasetId`` format, into which the
                 prediction output is written.
 
+                This field is a member of `oneof`_ ``output_location``.
+            vertex_multimodal_dataset_name (str):
+                Output only. The resource name of the Vertex Managed Dataset
+                created, into which the prediction output is written.
+                Format:
+                ``projects/{project}/locations/{location}/datasets/{dataset}``
+
                 This field is a member of `oneof`_ ``output_location``.
             bigquery_output_table (str):
                 Output only. The name of the BigQuery table created, in
@@ -555,6 +588,11 @@ class OutputInfo(proto.Message):
             number=2,
             oneof="output_location",
         )
+        vertex_multimodal_dataset_name: str = proto.Field(
+            proto.STRING,
+            number=5,
+            oneof="output_location",
+        )
         bigquery_output_table: str = proto.Field(
             proto.STRING,
             number=4,

google/cloud/aiplatform_v1/types/dataset.py

@@ -43,8 +43,9 @@ class Dataset(proto.Message):
 
     Attributes:
         name (str):
-            Output only. Identifier. The resource name of
-            the Dataset.
+            Output only. Identifier. The resource name of the Dataset.
+            Format:
+            ``projects/{project}/locations/{location}/datasets/{dataset}``
         display_name (str):
             Required. The user-defined name of the
             Dataset. The name can be up to 128 characters

google/cloud/aiplatform_v1/types/dataset_service.py

@@ -112,7 +112,6 @@ class CreateDatasetOperationMetadata(proto.Message):
 class GetDatasetRequest(proto.Message):
     r"""Request message for
     [DatasetService.GetDataset][google.cloud.aiplatform.v1.DatasetService.GetDataset].
-    Next ID: 4
 
     Attributes:
         name (str):
@@ -489,7 +488,6 @@ class DeleteDatasetVersionRequest(proto.Message):
 class GetDatasetVersionRequest(proto.Message):
     r"""Request message for
     [DatasetService.GetDatasetVersion][google.cloud.aiplatform.v1.DatasetService.GetDatasetVersion].
-    Next ID: 4
 
     Attributes:
         name (str):

google/cloud/aiplatform_v1/types/dataset_version.py

@@ -36,8 +36,9 @@ class DatasetVersion(proto.Message):
 
     Attributes:
         name (str):
-            Output only. Identifier. The resource name of
-            the DatasetVersion.
+            Output only. Identifier. The resource name of the
+            DatasetVersion. Format:
+            ``projects/{project}/locations/{location}/datasets/{dataset}/datasetVersions/{dataset_version}``
         create_time (google.protobuf.timestamp_pb2.Timestamp):
             Output only. Timestamp when this
             DatasetVersion was created.

google/cloud/aiplatform_v1/types/io.py

@@ -32,6 +32,8 @@
         "GcsDestination",
         "BigQuerySource",
         "BigQueryDestination",
+        "VertexMultimodalDatasetSource",
+        "VertexMultimodalDatasetDestination",
         "CsvDestination",
         "TFRecordDestination",
         "ContainerRegistryDestination",
@@ -152,6 +154,46 @@ class BigQueryDestination(proto.Message):
     )
 
 
+class VertexMultimodalDatasetSource(proto.Message):
+    r"""The Vertex Multimodal Dataset for the input content.
+
+    Attributes:
+        dataset_name (str):
+            Required. The resource name of the Vertex Dataset. Format:
+            ``projects/{project}/locations/{location}/datasets/{dataset}``
+    """
+
+    dataset_name: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+
+
+class VertexMultimodalDatasetDestination(proto.Message):
+    r"""The details for a Vertex Multimodal Dataset output.
+
+    Attributes:
+        bigquery_destination (google.cloud.aiplatform_v1.types.BigQueryDestination):
+            Optional. The destination of the underlying
+            BigQuery table that will be created for the
+            output Multimodal Dataset. If not specified, the
+            BigQuery table will be created in a default
+            BigQuery dataset.
+        display_name (str):
+            Optional. Display name of the output dataset.
+    """
+
+    bigquery_destination: "BigQueryDestination" = proto.Field(
+        proto.MESSAGE,
+        number=1,
+        message="BigQueryDestination",
+    )
+    display_name: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+
+
 class CsvDestination(proto.Message):
     r"""The storage details for CSV output content.