Copybara import of the project:

-- c76a319 by Anthonios Partheniou <[email protected]>: chore: regenerate code with gapic-generator-python 1.4.4 -- 9c55be3 by Yu-Han Liu <[email protected]>: chore: regenerate with gapic-generator-python 1.4.4 COPYBARA_INTEGRATE_REVIEW=#1779 from googleapis:regenerate-code-with-gapic-1-4-4 9c55be3 PiperOrigin-RevId: 488641639
googleapis · Nov 15, 2022 · 43e2805 · 43e2805
1 parent 2377606
commit 43e2805
Show file tree

Hide file tree

Showing 48 changed files with 681 additions and 312 deletions.
diff --git a/.kokoro/requirements.txt b/.kokoro/requirements.txt
diff --git a/google/cloud/aiplatform_v1/services/featurestore_service/async_client.py b/google/cloud/aiplatform_v1/services/featurestore_service/async_client.py
@@ -1593,7 +1593,7 @@ async def sample_create_feature():
                 become the final component of the Feature's resource
                 name.
 
-                This value may be up to 60 characters, and valid
+                This value may be up to 128 characters, and valid
                 characters are ``[a-z0-9_]``. The first character cannot
                 be a number.
 

diff --git a/google/cloud/aiplatform_v1/services/featurestore_service/client.py b/google/cloud/aiplatform_v1/services/featurestore_service/client.py
@@ -1859,7 +1859,7 @@ def sample_create_feature():
                 become the final component of the Feature's resource
                 name.
 
-                This value may be up to 60 characters, and valid
+                This value may be up to 128 characters, and valid
                 characters are ``[a-z0-9_]``. The first character cannot
                 be a number.
 

diff --git a/google/cloud/aiplatform_v1/services/tensorboard_service/async_client.py b/google/cloud/aiplatform_v1/services/tensorboard_service/async_client.py
@@ -1280,10 +1280,9 @@ async def sample_list_tensorboard_experiments():
                 The request object. Request message for
                 [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments].
             parent (:class:`str`):
-                Required. The resource name of the
-                Tensorboard to list
+                Required. The resource name of the Tensorboard to list
                 TensorboardExperiments. Format:
-                'projects/{project}/locations/{location}/tensorboards/{tensorboard}'
+                ``projects/{project}/locations/{location}/tensorboards/{tensorboard}``
 
                 This corresponds to the ``parent`` field
                 on the ``request`` instance; if ``request`` is provided, this
@@ -2014,10 +2013,9 @@ async def sample_list_tensorboard_runs():
                 The request object. Request message for
                 [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns].
             parent (:class:`str`):
-                Required. The resource name of the
-                TensorboardExperiment to list
-                TensorboardRuns. Format:
-                'projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}'
+                Required. The resource name of the TensorboardExperiment
+                to list TensorboardRuns. Format:
+                ``projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}``
 
                 This corresponds to the ``parent`` field
                 on the ``request`` instance; if ``request`` is provided, this
@@ -2745,10 +2743,9 @@ async def sample_list_tensorboard_time_series():
                 The request object. Request message for
                 [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries].
             parent (:class:`str`):
-                Required. The resource name of the
-                TensorboardRun to list
-                TensorboardTimeSeries. Format:
-                'projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}'
+                Required. The resource name of the TensorboardRun to
+                list TensorboardTimeSeries. Format:
+                ``projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}``
 
                 This corresponds to the ``parent`` field
                 on the ``request`` instance; if ``request`` is provided, this
@@ -3222,7 +3219,7 @@ async def sample_read_tensorboard_blob_data():
             time_series (:class:`str`):
                 Required. The resource name of the TensorboardTimeSeries
                 to list Blobs. Format:
-                'projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}'
+                ``projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}``
 
                 This corresponds to the ``time_series`` field
                 on the ``request`` instance; if ``request`` is provided, this

diff --git a/google/cloud/aiplatform_v1/services/tensorboard_service/client.py b/google/cloud/aiplatform_v1/services/tensorboard_service/client.py
@@ -1566,10 +1566,9 @@ def sample_list_tensorboard_experiments():
                 The request object. Request message for
                 [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments].
             parent (str):
-                Required. The resource name of the
-                Tensorboard to list
+                Required. The resource name of the Tensorboard to list
                 TensorboardExperiments. Format:
-                'projects/{project}/locations/{location}/tensorboards/{tensorboard}'
+                ``projects/{project}/locations/{location}/tensorboards/{tensorboard}``
 
                 This corresponds to the ``parent`` field
                 on the ``request`` instance; if ``request`` is provided, this
@@ -2312,10 +2311,9 @@ def sample_list_tensorboard_runs():
                 The request object. Request message for
                 [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns].
             parent (str):
-                Required. The resource name of the
-                TensorboardExperiment to list
-                TensorboardRuns. Format:
-                'projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}'
+                Required. The resource name of the TensorboardExperiment
+                to list TensorboardRuns. Format:
+                ``projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}``
 
                 This corresponds to the ``parent`` field
                 on the ``request`` instance; if ``request`` is provided, this
@@ -3059,10 +3057,9 @@ def sample_list_tensorboard_time_series():
                 The request object. Request message for
                 [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries].
             parent (str):
-                Required. The resource name of the
-                TensorboardRun to list
-                TensorboardTimeSeries. Format:
-                'projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}'
+                Required. The resource name of the TensorboardRun to
+                list TensorboardTimeSeries. Format:
+                ``projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}``
 
                 This corresponds to the ``parent`` field
                 on the ``request`` instance; if ``request`` is provided, this
@@ -3554,7 +3551,7 @@ def sample_read_tensorboard_blob_data():
             time_series (str):
                 Required. The resource name of the TensorboardTimeSeries
                 to list Blobs. Format:
-                'projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}'
+                ``projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}``
 
                 This corresponds to the ``time_series`` field
                 on the ``request`` instance; if ``request`` is provided, this

diff --git a/google/cloud/aiplatform_v1/types/artifact.py b/google/cloud/aiplatform_v1/types/artifact.py
@@ -85,7 +85,9 @@ class Artifact(proto.Message):
             metadata store.
         metadata (google.protobuf.struct_pb2.Struct):
             Properties of the Artifact.
-            The size of this field should not exceed 200KB.
+            Top level metadata keys' heading and trailing
+            spaces will be trimmed. The size of this field
+            should not exceed 200KB.
         description (str):
             Description of the Artifact
     """

diff --git a/google/cloud/aiplatform_v1/types/batch_prediction_job.py b/google/cloud/aiplatform_v1/types/batch_prediction_job.py
@@ -103,6 +103,16 @@ class BatchPredictionJob(proto.Message):
             DEDICATED_RESOURCES this config may be provided (and the job
             will use these resources), if the Model doesn't support
             AUTOMATIC_RESOURCES, this config must be provided.
+        service_account (str):
+            The service account that the DeployedModel's container runs
+            as. If not specified, a system generated one will be used,
+            which has minimal permissions and the custom container, if
+            used, may not have enough permission to access other GCP
+            resources.
+
+            Users deploying the Model must have the
+            ``iam.serviceAccounts.actAs`` permission on this service
+            account.
         manual_batch_tuning_parameters (google.cloud.aiplatform_v1.types.ManualBatchTuningParameters):
             Immutable. Parameters configuring the batch behavior.
             Currently only applicable when
@@ -437,6 +447,10 @@ class OutputInfo(proto.Message):
         number=7,
         message=machine_resources.BatchDedicatedResources,
     )
+    service_account = proto.Field(
+        proto.STRING,
+        number=29,
+    )
     manual_batch_tuning_parameters = proto.Field(
         proto.MESSAGE,
         number=8,

diff --git a/google/cloud/aiplatform_v1/types/context.py b/google/cloud/aiplatform_v1/types/context.py
@@ -78,7 +78,9 @@ class Context(proto.Message):
             metadata store.
         metadata (google.protobuf.struct_pb2.Struct):
             Properties of the Context.
-            The size of this field should not exceed 200KB.
+            Top level metadata keys' heading and trailing
+            spaces will be trimmed. The size of this field
+            should not exceed 200KB.
         description (str):
             Description of the Context
     """

diff --git a/google/cloud/aiplatform_v1/types/dataset.py b/google/cloud/aiplatform_v1/types/dataset.py
@@ -166,6 +166,18 @@ class ImportDataConfig(proto.Message):
             labels specified inside index file referenced by
             [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri],
             e.g. jsonl file.
+        annotation_labels (Mapping[str, str]):
+            Labels that will be applied to newly imported Annotations.
+            If two Annotations are identical, one of them will be
+            deduped. Two Annotations are considered identical if their
+            [payload][google.cloud.aiplatform.v1.Annotation.payload],
+            [payload_schema_uri][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+            and all of their
+            [labels][google.cloud.aiplatform.v1.Annotation.labels] are
+            the same. These labels will be overridden by Annotation
+            labels specified inside index file referenced by
+            [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri],
+            e.g. jsonl file.
         import_schema_uri (str):
             Required. Points to a YAML file stored on Google Cloud
             Storage describing the import format. Validation will be
@@ -185,6 +197,11 @@ class ImportDataConfig(proto.Message):
         proto.STRING,
         number=2,
     )
+    annotation_labels = proto.MapField(
+        proto.STRING,
+        proto.STRING,
+        number=3,
+    )
     import_schema_uri = proto.Field(
         proto.STRING,
         number=4,

diff --git a/google/cloud/aiplatform_v1/types/execution.py b/google/cloud/aiplatform_v1/types/execution.py
@@ -81,7 +81,9 @@ class Execution(proto.Message):
             metadata store.
         metadata (google.protobuf.struct_pb2.Struct):
             Properties of the Execution.
-            The size of this field should not exceed 200KB.
+            Top level metadata keys' heading and trailing
+            spaces will be trimmed. The size of this field
+            should not exceed 200KB.
         description (str):
             Description of the Execution
     """

diff --git a/google/cloud/aiplatform_v1/types/featurestore.py b/google/cloud/aiplatform_v1/types/featurestore.py
@@ -61,10 +61,12 @@ class Featurestore(proto.Message):
             System reserved label keys are prefixed with
             "aiplatform.googleapis.com/" and are immutable.
         online_serving_config (google.cloud.aiplatform_v1.types.Featurestore.OnlineServingConfig):
-            Optional. Config for online storage
-            resources. If unset, the featurestore will not
-            have an online store and cannot be used for
-            online serving.
+            Optional. Config for online storage resources. The field
+            should not co-exist with the field of
+            ``OnlineStoreReplicationConfig``. If both of it and
+            OnlineStoreReplicationConfig are unset, the feature store
+            will not have an online store and cannot be used for online
+            serving.
         state (google.cloud.aiplatform_v1.types.Featurestore.State):
             Output only. State of the featurestore.
         encryption_spec (google.cloud.aiplatform_v1.types.EncryptionSpec):

diff --git a/google/cloud/aiplatform_v1/types/featurestore_service.py b/google/cloud/aiplatform_v1/types/featurestore_service.py
@@ -548,6 +548,12 @@ class BatchReadFeatureValuesRequest(proto.Message):
             [BatchReadFeatureValuesRequest.entity_type_specs] must have
             a column specifying entity IDs in the EntityType in
             [BatchReadFeatureValuesRequest.request][] .
+        start_time (google.protobuf.timestamp_pb2.Timestamp):
+            Optional. Excludes Feature values with
+            feature generation timestamp before this
+            timestamp. If not set, retrieve oldest values
+            kept in Feature Store. Timestamp, if present,
+            must not have higher than millisecond precision.
     """
 
     class PassThroughField(proto.Message):
@@ -629,6 +635,11 @@ class EntityTypeSpec(proto.Message):
         number=7,
         message=EntityTypeSpec,
     )
+    start_time = proto.Field(
+        proto.MESSAGE,
+        number=11,
+        message=timestamp_pb2.Timestamp,
+    )
 
 
 class ExportFeatureValuesRequest(proto.Message):
@@ -1109,7 +1120,7 @@ class CreateFeatureRequest(proto.Message):
             Required. The ID to use for the Feature, which will become
             the final component of the Feature's resource name.
 
-            This value may be up to 60 characters, and valid characters
+            This value may be up to 128 characters, and valid characters
             are ``[a-z0-9_]``. The first character cannot be a number.
 
             The value must be unique within an EntityType.

diff --git a/google/cloud/aiplatform_v1/types/index_endpoint.py b/google/cloud/aiplatform_v1/types/index_endpoint.py
@@ -87,7 +87,7 @@ class IndexEndpoint(proto.Message):
             are mutually exclusive.
 
             `Format <https://cloud.google.com/compute/docs/reference/rest/v1/networks/insert>`__:
-            projects/{project}/global/networks/{network}. Where
+            ``projects/{project}/global/networks/{network}``. Where
             {project} is a project number, as in '12345', and {network}
             is network name.
         enable_private_service_connect (bool):

diff --git a/google/cloud/aiplatform_v1/types/metadata_service.py b/google/cloud/aiplatform_v1/types/metadata_service.py
@@ -359,7 +359,8 @@ class ListArtifactsRequest(proto.Message):
                ``in_context("projects/<project_number>/locations/<location>/metadataStores/<metadatastore_name>/contexts/<context-id>")``
 
             Each of the above supported filter types can be combined
-            together using logical operators (``AND`` & ``OR``).
+            together using logical operators (``AND`` & ``OR``). Maximum
+            nested expression depth allowed is 5.
 
             For example:
             ``display_name = "test" AND metadata.field1.bool_value = true``.
@@ -667,7 +668,8 @@ class ListContextsRequest(proto.Message):
                   "projects/<project_number>/locations/<location>/metadataStores/<metadatastore_name>/contexts/<context_id>"
 
             Each of the above supported filters can be combined together
-            using logical operators (``AND`` & ``OR``).
+            using logical operators (``AND`` & ``OR``). Maximum nested
+            expression depth allowed is 5.
 
             For example:
             ``display_name = "test" AND metadata.field1.bool_value = true``.
@@ -1103,7 +1105,10 @@ class ListExecutionsRequest(proto.Message):
                ``in_context("projects/<project_number>/locations/<location>/metadataStores/<metadatastore_name>/contexts/<context-id>")``
 
             Each of the above supported filters can be combined together
-            using logical operators (``AND`` & ``OR``). For example:
+            using logical operators (``AND`` & ``OR``). Maximum nested
+            expression depth allowed is 5.
+
+            For example:
             ``display_name = "test" AND metadata.field1.bool_value = true``.
         order_by (str):
             How the list of messages is ordered. Specify the values to
@@ -1523,7 +1528,8 @@ class QueryArtifactLineageSubgraphRequest(proto.Message):
                ``metadata.field_1.number_value = 10.0``
 
             Each of the above supported filter types can be combined
-            together using logical operators (``AND`` & ``OR``).
+            together using logical operators (``AND`` & ``OR``). Maximum
+            nested expression depth allowed is 5.
 
             For example:
             ``display_name = "test" AND metadata.field1.bool_value = true``.

diff --git a/google/cloud/aiplatform_v1/types/model.py b/google/cloud/aiplatform_v1/types/model.py
@@ -50,9 +50,9 @@ class Model(proto.Message):
         version_aliases (Sequence[str]):
             User provided version aliases so that a model version can be
             referenced via alias (i.e.
-            projects/{project}/locations/{location}/models/{model_id}@{version_alias}
+            ``projects/{project}/locations/{location}/models/{model_id}@{version_alias}``
             instead of auto-generated version id (i.e.
-            projects/{project}/locations/{location}/models/{model_id}@{version_id}).
+            ``projects/{project}/locations/{location}/models/{model_id}@{version_id})``.
             The format is [a-z][a-zA-Z0-9-]{0,126}[a-z0-9] to
             distinguish from version_id. A default version alias will be
             created for the first version of the model, and there must
@@ -280,6 +280,11 @@ class Model(proto.Message):
             be automl training pipeline, custom training
             pipeline, BigQuery ML, or existing Vertex AI
             Model.
+        metadata_artifact (str):
+            Output only. The resource name of the Artifact that was
+            created in MetadataStore when creating the Model. The
+            Artifact resource name pattern is
+            ``projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}``.
     """
 
     class DeploymentResourcesType(proto.Enum):
@@ -454,6 +459,10 @@ class ExportableContent(proto.Enum):
         number=38,
         message="ModelSourceInfo",
     )
+    metadata_artifact = proto.Field(
+        proto.STRING,
+        number=44,
+    )
 
 
 class PredictSchemata(proto.Message):