patch method

Future<GoogleCloudAiplatformV1NotebookRuntimeTemplate> patch(
  1. GoogleCloudAiplatformV1NotebookRuntimeTemplate request,
  2. String name, {
  3. String? updateMask,
  4. String? $fields,
})

Updates a NotebookRuntimeTemplate.

request - The metadata request object.

Request parameters:

name - The resource name of the NotebookRuntimeTemplate. Value must have pattern ^projects/\[^/\]+/locations/\[^/\]+/notebookRuntimeTemplates/\[^/\]+$.

updateMask - Required. The update mask applies to the resource. For the FieldMask definition, see google.protobuf.FieldMask. Input format: {paths: "${updated_filed}"} Updatable fields: * encryption_spec.kms_key_name

$fields - Selector specifying which fields to include in a partial response.

Completes with a GoogleCloudAiplatformV1NotebookRuntimeTemplate.

Completes with a commons.ApiRequestError if the API endpoint returned an error.

If the used http.Client completes with an error when making a REST call, this method will complete with the same error.

Implementation

async.Future<GoogleCloudAiplatformV1NotebookRuntimeTemplate> patch(
  GoogleCloudAiplatformV1NotebookRuntimeTemplate request,
  core.String name, {
  core.String? updateMask,
  core.String? $fields,
}) async {
  final body_ = convert.json.encode(request);
  final queryParams_ = <core.String, core.List<core.String>>{
    if (updateMask != null) 'updateMask': [updateMask],
    if ($fields != null) 'fields': [$fields],
  };

  final url_ = 'v1/' + core.Uri.encodeFull('$name');

  final response_ = await _requester.request(
    url_,
    'PATCH',
    body: body_,
    queryParams: queryParams_,
  );
  return GoogleCloudAiplatformV1NotebookRuntimeTemplate.fromJson(
      response_ as core.Map<core.String, core.dynamic>);
}