feat: Adds support for google.protobuf.Value pipeline parameters in…

… the `parameter_values` field (#808) * feat: Adds support for `google.protobuf.Value` pipeline parameters in the `parameter_values` field PiperOrigin-RevId: 406492721 Source-Link: googleapis/googleapis@7a3953f Source-Link: googleapis/googleapis-gen@f055ce9 Copy-Tag: eyJwIjoiLmdpdGh1Yi8uT3dsQm90LnlhbWwiLCJoIjoiZjA1NWNlOWM4MzY5NjcxNWU5M2IzY2IyOWI4MTI0NmY0M2UwYTRiOCJ9 * 🦉 Updates from OwlBot See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md Co-authored-by: Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com> Co-authored-by: sasha-gitg <[email protected]>
googleapis · Nov 2, 2021 · 726b620 · 726b620
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diff --git a/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/automl_tables.py b/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/automl_tables.py
@@ -43,15 +43,24 @@ class AutoMlTables(proto.Message):
 class AutoMlTablesInputs(proto.Message):
     r"""
 
+    This message has `oneof`_ fields (mutually exclusive fields).
+    For each oneof, at most one member field can be set at the same time.
+    Setting any member of the oneof automatically clears all other
+    members.
+
+    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
+
     Attributes:
         optimization_objective_recall_value (float):
             Required when optimization_objective is
             "maximize-precision-at-recall". Must be between 0 and 1,
             inclusive.
+            This field is a member of `oneof`_ ``additional_optimization_objective_config``.
         optimization_objective_precision_value (float):
             Required when optimization_objective is
             "maximize-recall-at-precision". Must be between 0 and 1,
             inclusive.
+            This field is a member of `oneof`_ ``additional_optimization_objective_config``.
         prediction_type (str):
             The type of prediction the Model is to
             produce.   "classification" - Predict one out of
@@ -149,23 +158,38 @@ class AutoMlTablesInputs(proto.Message):
     class Transformation(proto.Message):
         r"""
 
+        This message has `oneof`_ fields (mutually exclusive fields).
+        For each oneof, at most one member field can be set at the same time.
+        Setting any member of the oneof automatically clears all other
+        members.
+
+        .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
+
         Attributes:
             auto (google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlTablesInputs.Transformation.AutoTransformation):
 
+                This field is a member of `oneof`_ ``transformation_detail``.
             numeric (google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlTablesInputs.Transformation.NumericTransformation):
 
+                This field is a member of `oneof`_ ``transformation_detail``.
             categorical (google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlTablesInputs.Transformation.CategoricalTransformation):
 
+                This field is a member of `oneof`_ ``transformation_detail``.
             timestamp (google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlTablesInputs.Transformation.TimestampTransformation):
 
+                This field is a member of `oneof`_ ``transformation_detail``.
             text (google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlTablesInputs.Transformation.TextTransformation):
 
+                This field is a member of `oneof`_ ``transformation_detail``.
             repeated_numeric (google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlTablesInputs.Transformation.NumericArrayTransformation):
 
+                This field is a member of `oneof`_ ``transformation_detail``.
             repeated_categorical (google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation):
 
+                This field is a member of `oneof`_ ``transformation_detail``.
             repeated_text (google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlTablesInputs.Transformation.TextArrayTransformation):
 
+                This field is a member of `oneof`_ ``transformation_detail``.
         """
 
         class AutoTransformation(proto.Message):

diff --git a/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_tables.py b/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_tables.py
@@ -43,15 +43,24 @@ class AutoMlTables(proto.Message):
 class AutoMlTablesInputs(proto.Message):
     r"""
 
+    This message has `oneof`_ fields (mutually exclusive fields).
+    For each oneof, at most one member field can be set at the same time.
+    Setting any member of the oneof automatically clears all other
+    members.
+
+    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
+
     Attributes:
         optimization_objective_recall_value (float):
             Required when optimization_objective is
             "maximize-precision-at-recall". Must be between 0 and 1,
             inclusive.
+            This field is a member of `oneof`_ ``additional_optimization_objective_config``.
         optimization_objective_precision_value (float):
             Required when optimization_objective is
             "maximize-recall-at-precision". Must be between 0 and 1,
             inclusive.
+            This field is a member of `oneof`_ ``additional_optimization_objective_config``.
         prediction_type (str):
             The type of prediction the Model is to
             produce.   "classification" - Predict one out of
@@ -149,23 +158,38 @@ class AutoMlTablesInputs(proto.Message):
     class Transformation(proto.Message):
         r"""
 
+        This message has `oneof`_ fields (mutually exclusive fields).
+        For each oneof, at most one member field can be set at the same time.
+        Setting any member of the oneof automatically clears all other
+        members.
+
+        .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
+
         Attributes:
             auto (google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlTablesInputs.Transformation.AutoTransformation):
 
+                This field is a member of `oneof`_ ``transformation_detail``.
             numeric (google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlTablesInputs.Transformation.NumericTransformation):
 
+                This field is a member of `oneof`_ ``transformation_detail``.
             categorical (google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlTablesInputs.Transformation.CategoricalTransformation):
 
+                This field is a member of `oneof`_ ``transformation_detail``.
             timestamp (google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlTablesInputs.Transformation.TimestampTransformation):
 
+                This field is a member of `oneof`_ ``transformation_detail``.
             text (google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlTablesInputs.Transformation.TextTransformation):
 
+                This field is a member of `oneof`_ ``transformation_detail``.
             repeated_numeric (google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlTablesInputs.Transformation.NumericArrayTransformation):
 
+                This field is a member of `oneof`_ ``transformation_detail``.
             repeated_categorical (google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation):
 
+                This field is a member of `oneof`_ ``transformation_detail``.
             repeated_text (google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlTablesInputs.Transformation.TextArrayTransformation):
 
+                This field is a member of `oneof`_ ``transformation_detail``.
         """
 
         class AutoTransformation(proto.Message):

diff --git a/...orm/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_time_series_forecasting.py b/...orm/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_time_series_forecasting.py
@@ -176,17 +176,29 @@ class AutoMlForecastingInputs(proto.Message):
     class Transformation(proto.Message):
         r"""
 
+        This message has `oneof`_ fields (mutually exclusive fields).
+        For each oneof, at most one member field can be set at the same time.
+        Setting any member of the oneof automatically clears all other
+        members.
+
+        .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
+
         Attributes:
             auto (google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlForecastingInputs.Transformation.AutoTransformation):
 
+                This field is a member of `oneof`_ ``transformation_detail``.
             numeric (google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlForecastingInputs.Transformation.NumericTransformation):
 
+                This field is a member of `oneof`_ ``transformation_detail``.
             categorical (google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlForecastingInputs.Transformation.CategoricalTransformation):
 
+                This field is a member of `oneof`_ ``transformation_detail``.
             timestamp (google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlForecastingInputs.Transformation.TimestampTransformation):
 
+                This field is a member of `oneof`_ ``transformation_detail``.
             text (google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlForecastingInputs.Transformation.TextTransformation):
 
+                This field is a member of `oneof`_ ``transformation_detail``.
         """
 
         class AutoTransformation(proto.Message):

diff --git a/google/cloud/aiplatform_v1/services/dataset_service/async_client.py b/google/cloud/aiplatform_v1/services/dataset_service/async_client.py
@@ -19,13 +19,15 @@
 from typing import Dict, Sequence, Tuple, Type, Union
 import pkg_resources
 
-import google.api_core.client_options as ClientOptions  # type: ignore
+from google.api_core.client_options import ClientOptions  # type: ignore
 from google.api_core import exceptions as core_exceptions  # type: ignore
 from google.api_core import gapic_v1  # type: ignore
 from google.api_core import retry as retries  # type: ignore
 from google.auth import credentials as ga_credentials  # type: ignore
 from google.oauth2 import service_account  # type: ignore
 
+OptionalRetry = Union[retries.Retry, object]
+
 from google.api_core import operation as gac_operation  # type: ignore
 from google.api_core import operation_async  # type: ignore
 from google.cloud.aiplatform_v1.services.dataset_service import pagers
@@ -186,18 +188,18 @@ def __init__(
 
     async def create_dataset(
         self,
-        request: dataset_service.CreateDatasetRequest = None,
+        request: Union[dataset_service.CreateDatasetRequest, dict] = None,
         *,
         parent: str = None,
         dataset: gca_dataset.Dataset = None,
-        retry: retries.Retry = gapic_v1.method.DEFAULT,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
         timeout: float = None,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> operation_async.AsyncOperation:
         r"""Creates a Dataset.
 
         Args:
-            request (:class:`google.cloud.aiplatform_v1.types.CreateDatasetRequest`):
+            request (Union[google.cloud.aiplatform_v1.types.CreateDatasetRequest, dict]):
                 The request object. Request message for
                 [DatasetService.CreateDataset][google.cloud.aiplatform.v1.DatasetService.CreateDataset].
             parent (:class:`str`):
@@ -277,17 +279,17 @@ async def create_dataset(
 
     async def get_dataset(
         self,
-        request: dataset_service.GetDatasetRequest = None,
+        request: Union[dataset_service.GetDatasetRequest, dict] = None,
         *,
         name: str = None,
-        retry: retries.Retry = gapic_v1.method.DEFAULT,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
         timeout: float = None,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> dataset.Dataset:
         r"""Gets a Dataset.
 
         Args:
-            request (:class:`google.cloud.aiplatform_v1.types.GetDatasetRequest`):
+            request (Union[google.cloud.aiplatform_v1.types.GetDatasetRequest, dict]):
                 The request object. Request message for
                 [DatasetService.GetDataset][google.cloud.aiplatform.v1.DatasetService.GetDataset].
             name (:class:`str`):
@@ -348,18 +350,18 @@ async def get_dataset(
 
     async def update_dataset(
         self,
-        request: dataset_service.UpdateDatasetRequest = None,
+        request: Union[dataset_service.UpdateDatasetRequest, dict] = None,
         *,
         dataset: gca_dataset.Dataset = None,
         update_mask: field_mask_pb2.FieldMask = None,
-        retry: retries.Retry = gapic_v1.method.DEFAULT,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
         timeout: float = None,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> gca_dataset.Dataset:
         r"""Updates a Dataset.
 
         Args:
-            request (:class:`google.cloud.aiplatform_v1.types.UpdateDatasetRequest`):
+            request (Union[google.cloud.aiplatform_v1.types.UpdateDatasetRequest, dict]):
                 The request object. Request message for
                 [DatasetService.UpdateDataset][google.cloud.aiplatform.v1.DatasetService.UpdateDataset].
             dataset (:class:`google.cloud.aiplatform_v1.types.Dataset`):
@@ -437,17 +439,17 @@ async def update_dataset(
 
     async def list_datasets(
         self,
-        request: dataset_service.ListDatasetsRequest = None,
+        request: Union[dataset_service.ListDatasetsRequest, dict] = None,
         *,
         parent: str = None,
-        retry: retries.Retry = gapic_v1.method.DEFAULT,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
         timeout: float = None,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> pagers.ListDatasetsAsyncPager:
         r"""Lists Datasets in a Location.
 
         Args:
-            request (:class:`google.cloud.aiplatform_v1.types.ListDatasetsRequest`):
+            request (Union[google.cloud.aiplatform_v1.types.ListDatasetsRequest, dict]):
                 The request object. Request message for
                 [DatasetService.ListDatasets][google.cloud.aiplatform.v1.DatasetService.ListDatasets].
             parent (:class:`str`):
@@ -517,17 +519,17 @@ async def list_datasets(
 
     async def delete_dataset(
         self,
-        request: dataset_service.DeleteDatasetRequest = None,
+        request: Union[dataset_service.DeleteDatasetRequest, dict] = None,
         *,
         name: str = None,
-        retry: retries.Retry = gapic_v1.method.DEFAULT,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
         timeout: float = None,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> operation_async.AsyncOperation:
         r"""Deletes a Dataset.
 
         Args:
-            request (:class:`google.cloud.aiplatform_v1.types.DeleteDatasetRequest`):
+            request (Union[google.cloud.aiplatform_v1.types.DeleteDatasetRequest, dict]):
                 The request object. Request message for
                 [DatasetService.DeleteDataset][google.cloud.aiplatform.v1.DatasetService.DeleteDataset].
             name (:class:`str`):
@@ -610,18 +612,18 @@ async def delete_dataset(
 
     async def import_data(
         self,
-        request: dataset_service.ImportDataRequest = None,
+        request: Union[dataset_service.ImportDataRequest, dict] = None,
         *,
         name: str = None,
         import_configs: Sequence[dataset.ImportDataConfig] = None,
-        retry: retries.Retry = gapic_v1.method.DEFAULT,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
         timeout: float = None,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> operation_async.AsyncOperation:
         r"""Imports data into a Dataset.
 
         Args:
-            request (:class:`google.cloud.aiplatform_v1.types.ImportDataRequest`):
+            request (Union[google.cloud.aiplatform_v1.types.ImportDataRequest, dict]):
                 The request object. Request message for
                 [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
             name (:class:`str`):
@@ -704,18 +706,18 @@ async def import_data(
 
     async def export_data(
         self,
-        request: dataset_service.ExportDataRequest = None,
+        request: Union[dataset_service.ExportDataRequest, dict] = None,
         *,
         name: str = None,
         export_config: dataset.ExportDataConfig = None,
-        retry: retries.Retry = gapic_v1.method.DEFAULT,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
         timeout: float = None,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> operation_async.AsyncOperation:
         r"""Exports data from a Dataset.
 
         Args:
-            request (:class:`google.cloud.aiplatform_v1.types.ExportDataRequest`):
+            request (Union[google.cloud.aiplatform_v1.types.ExportDataRequest, dict]):
                 The request object. Request message for
                 [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
             name (:class:`str`):
@@ -797,17 +799,17 @@ async def export_data(
 
     async def list_data_items(
         self,
-        request: dataset_service.ListDataItemsRequest = None,
+        request: Union[dataset_service.ListDataItemsRequest, dict] = None,
         *,
         parent: str = None,
-        retry: retries.Retry = gapic_v1.method.DEFAULT,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
         timeout: float = None,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> pagers.ListDataItemsAsyncPager:
         r"""Lists DataItems in a Dataset.
 
         Args:
-            request (:class:`google.cloud.aiplatform_v1.types.ListDataItemsRequest`):
+            request (Union[google.cloud.aiplatform_v1.types.ListDataItemsRequest, dict]):
                 The request object. Request message for
                 [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems].
             parent (:class:`str`):
@@ -878,17 +880,17 @@ async def list_data_items(
 
     async def get_annotation_spec(
         self,
-        request: dataset_service.GetAnnotationSpecRequest = None,
+        request: Union[dataset_service.GetAnnotationSpecRequest, dict] = None,
         *,
         name: str = None,
-        retry: retries.Retry = gapic_v1.method.DEFAULT,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
         timeout: float = None,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> annotation_spec.AnnotationSpec:
         r"""Gets an AnnotationSpec.
 
         Args:
-            request (:class:`google.cloud.aiplatform_v1.types.GetAnnotationSpecRequest`):
+            request (Union[google.cloud.aiplatform_v1.types.GetAnnotationSpecRequest, dict]):
                 The request object. Request message for
                 [DatasetService.GetAnnotationSpec][google.cloud.aiplatform.v1.DatasetService.GetAnnotationSpec].
             name (:class:`str`):
@@ -950,17 +952,17 @@ async def get_annotation_spec(
 
     async def list_annotations(
         self,
-        request: dataset_service.ListAnnotationsRequest = None,
+        request: Union[dataset_service.ListAnnotationsRequest, dict] = None,
         *,
         parent: str = None,
-        retry: retries.Retry = gapic_v1.method.DEFAULT,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
         timeout: float = None,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> pagers.ListAnnotationsAsyncPager:
         r"""Lists Annotations belongs to a dataitem
 
         Args:
-            request (:class:`google.cloud.aiplatform_v1.types.ListAnnotationsRequest`):
+            request (Union[google.cloud.aiplatform_v1.types.ListAnnotationsRequest, dict]):
                 The request object. Request message for
                 [DatasetService.ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
             parent (:class:`str`):