feat: add UpdatePersistentResourceRequest and add resource_pool_images and head_node_resource_pool_id to RaySpec

.kokoro/samples/python3.10/common.cfg

@@ -14,7 +14,7 @@ env_vars: {
 }
 
 # Declare build specific Cloud project.
-env_vars: {  
+env_vars: {
     key: "BUILD_SPECIFIC_GCLOUD_PROJECT"
     value: "ucaip-sample-tests"
 }

.kokoro/samples/python3.11/common.cfg

@@ -14,7 +14,7 @@ env_vars: {
 }
 
 # Declare build specific Cloud project.
-env_vars: {  
+env_vars: {
     key: "BUILD_SPECIFIC_GCLOUD_PROJECT"
     value: "ucaip-sample-tests"
 }

.kokoro/samples/python3.7/common.cfg

@@ -14,7 +14,7 @@ env_vars: {
 }
 
 # Declare build specific Cloud project.
-env_vars: {  
+env_vars: {
     key: "BUILD_SPECIFIC_GCLOUD_PROJECT"
     value: "ucaip-sample-tests"
 }

.kokoro/samples/python3.8/common.cfg

@@ -14,7 +14,7 @@ env_vars: {
 }
 
 # Declare build specific Cloud project.
-env_vars: {  
+env_vars: {
     key: "BUILD_SPECIFIC_GCLOUD_PROJECT"
     value: "ucaip-sample-tests"
 }

.kokoro/samples/python3.9/common.cfg

@@ -14,7 +14,7 @@ env_vars: {
 }
 
 # Declare build specific Cloud project.
-env_vars: {  
+env_vars: {
     key: "BUILD_SPECIFIC_GCLOUD_PROJECT"
     value: "ucaip-sample-tests"
 }

google/cloud/aiplatform_v1beta1/__init__.py

@@ -479,6 +479,8 @@
 from .types.persistent_resource_service import GetPersistentResourceRequest
 from .types.persistent_resource_service import ListPersistentResourcesRequest
 from .types.persistent_resource_service import ListPersistentResourcesResponse
+from .types.persistent_resource_service import UpdatePersistentResourceOperationMetadata
+from .types.persistent_resource_service import UpdatePersistentResourceRequest
 from .types.pipeline_failure_policy import PipelineFailurePolicy
 from .types.pipeline_job import PipelineJob
 from .types.pipeline_job import PipelineJobDetail
@@ -1188,6 +1190,8 @@
     "UpdateModelDeploymentMonitoringJobOperationMetadata",
     "UpdateModelDeploymentMonitoringJobRequest",
     "UpdateModelRequest",
+    "UpdatePersistentResourceOperationMetadata",
+    "UpdatePersistentResourceRequest",
     "UpdateScheduleRequest",
     "UpdateSpecialistPoolOperationMetadata",
     "UpdateSpecialistPoolRequest",

google/cloud/aiplatform_v1beta1/gapic_metadata.json

@@ -1761,6 +1761,11 @@
               "methods": [
                 "list_persistent_resources"
               ]
+            },
+            "UpdatePersistentResource": {
+              "methods": [
+                "update_persistent_resource"
+              ]
             }
           }
         },
@@ -1786,6 +1791,11 @@
               "methods": [
                 "list_persistent_resources"
               ]
+            },
+            "UpdatePersistentResource": {
+              "methods": [
+                "update_persistent_resource"
+              ]
             }
           }
         }

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

@@ -57,6 +57,7 @@
 from google.iam.v1 import policy_pb2  # type: ignore
 from google.longrunning import operations_pb2
 from google.protobuf import empty_pb2  # type: ignore
+from google.protobuf import field_mask_pb2  # type: ignore
 from google.protobuf import timestamp_pb2  # type: ignore
 from google.rpc import status_pb2  # type: ignore
 from .transports.base import PersistentResourceServiceTransport, DEFAULT_CLIENT_INFO
@@ -748,6 +749,143 @@ async def sample_delete_persistent_resource():
         # Done; return the response.
         return response
 
+    async def update_persistent_resource(
+        self,
+        request: Optional[
+            Union[persistent_resource_service.UpdatePersistentResourceRequest, dict]
+        ] = None,
+        *,
+        persistent_resource: Optional[
+            gca_persistent_resource.PersistentResource
+        ] = None,
+        update_mask: Optional[field_mask_pb2.FieldMask] = None,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> operation_async.AsyncOperation:
+        r"""Updates a PersistentResource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import aiplatform_v1beta1
+
+            async def sample_update_persistent_resource():
+                # Create a client
+                client = aiplatform_v1beta1.PersistentResourceServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = aiplatform_v1beta1.UpdatePersistentResourceRequest(
+                )
+
+                # Make the request
+                operation = client.update_persistent_resource(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = (await operation).result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.aiplatform_v1beta1.types.UpdatePersistentResourceRequest, dict]]):
+                The request object. Request message for
+                UpdatePersistentResource method.
+            persistent_resource (:class:`google.cloud.aiplatform_v1beta1.types.PersistentResource`):
+                Required. The PersistentResource to update.
+
+                The PersistentResource's ``name`` field is used to
+                identify the PersistentResource to update. Format:
+                ``projects/{project}/locations/{location}/persistentResources/{persistent_resource}``
+
+                This corresponds to the ``persistent_resource`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
+                Required. Specify the fields to be
+                overwritten in the PersistentResource by
+                the update method.
+
+                This corresponds to the ``update_mask`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation_async.AsyncOperation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.cloud.aiplatform_v1beta1.types.PersistentResource` Represents long-lasting resources that are dedicated to users to runs custom
+                   workloads. A PersistentResource can have multiple
+                   node pools and each node pool can have its own
+                   machine spec.
+
+        """
+        # Create or coerce a protobuf request object.
+        # Quick check: If we got a request object, we should *not* have
+        # gotten any keyword arguments that map to the request.
+        has_flattened_params = any([persistent_resource, update_mask])
+        if request is not None and has_flattened_params:
+            raise ValueError(
+                "If the `request` argument is set, then none of "
+                "the individual field arguments should be set."
+            )
+
+        request = persistent_resource_service.UpdatePersistentResourceRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if persistent_resource is not None:
+            request.persistent_resource = persistent_resource
+        if update_mask is not None:
+            request.update_mask = update_mask
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = gapic_v1.method_async.wrap_method(
+            self._client._transport.update_persistent_resource,
+            default_timeout=None,
+            client_info=DEFAULT_CLIENT_INFO,
+        )
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("persistent_resource.name", request.persistent_resource.name),)
+            ),
+        )
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation_async.from_gapic(
+            response,
+            self._client._transport.operations_client,
+            gca_persistent_resource.PersistentResource,
+            metadata_type=persistent_resource_service.UpdatePersistentResourceOperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
     async def list_operations(
         self,
         request: Optional[operations_pb2.ListOperationsRequest] = None,

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

@@ -61,6 +61,7 @@
 from google.iam.v1 import policy_pb2  # type: ignore
 from google.longrunning import operations_pb2
 from google.protobuf import empty_pb2  # type: ignore
+from google.protobuf import field_mask_pb2  # type: ignore
 from google.protobuf import timestamp_pb2  # type: ignore
 from google.rpc import status_pb2  # type: ignore
 from .transports.base import PersistentResourceServiceTransport, DEFAULT_CLIENT_INFO
@@ -999,6 +1000,149 @@ def sample_delete_persistent_resource():
         # Done; return the response.
         return response
 
+    def update_persistent_resource(
+        self,
+        request: Optional[
+            Union[persistent_resource_service.UpdatePersistentResourceRequest, dict]
+        ] = None,
+        *,
+        persistent_resource: Optional[
+            gca_persistent_resource.PersistentResource
+        ] = None,
+        update_mask: Optional[field_mask_pb2.FieldMask] = None,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> gac_operation.Operation:
+        r"""Updates a PersistentResource.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import aiplatform_v1beta1
+
+            def sample_update_persistent_resource():
+                # Create a client
+                client = aiplatform_v1beta1.PersistentResourceServiceClient()
+
+                # Initialize request argument(s)
+                request = aiplatform_v1beta1.UpdatePersistentResourceRequest(
+                )
+
+                # Make the request
+                operation = client.update_persistent_resource(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.aiplatform_v1beta1.types.UpdatePersistentResourceRequest, dict]):
+                The request object. Request message for
+                UpdatePersistentResource method.
+            persistent_resource (google.cloud.aiplatform_v1beta1.types.PersistentResource):
+                Required. The PersistentResource to update.
+
+                The PersistentResource's ``name`` field is used to
+                identify the PersistentResource to update. Format:
+                ``projects/{project}/locations/{location}/persistentResources/{persistent_resource}``
+
+                This corresponds to the ``persistent_resource`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            update_mask (google.protobuf.field_mask_pb2.FieldMask):
+                Required. Specify the fields to be
+                overwritten in the PersistentResource by
+                the update method.
+
+                This corresponds to the ``update_mask`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation.Operation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.cloud.aiplatform_v1beta1.types.PersistentResource` Represents long-lasting resources that are dedicated to users to runs custom
+                   workloads. A PersistentResource can have multiple
+                   node pools and each node pool can have its own
+                   machine spec.
+
+        """
+        # Create or coerce a protobuf request object.
+        # Quick check: If we got a request object, we should *not* have
+        # gotten any keyword arguments that map to the request.
+        has_flattened_params = any([persistent_resource, update_mask])
+        if request is not None and has_flattened_params:
+            raise ValueError(
+                "If the `request` argument is set, then none of "
+                "the individual field arguments should be set."
+            )
+
+        # Minor optimization to avoid making a copy if the user passes
+        # in a persistent_resource_service.UpdatePersistentResourceRequest.
+        # There's no risk of modifying the input as we've already verified
+        # there are no flattened fields.
+        if not isinstance(
+            request, persistent_resource_service.UpdatePersistentResourceRequest
+        ):
+            request = persistent_resource_service.UpdatePersistentResourceRequest(
+                request
+            )
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if persistent_resource is not None:
+                request.persistent_resource = persistent_resource
+            if update_mask is not None:
+                request.update_mask = update_mask
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[
+            self._transport.update_persistent_resource
+        ]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("persistent_resource.name", request.persistent_resource.name),)
+            ),
+        )
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = gac_operation.from_gapic(
+            response,
+            self._transport.operations_client,
+            gca_persistent_resource.PersistentResource,
+            metadata_type=persistent_resource_service.UpdatePersistentResourceOperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
     def __enter__(self) -> "PersistentResourceServiceClient":
         return self