search method

Future<GoogleCloudAiplatformV1SearchMigratableResourcesResponse> search(
  1. GoogleCloudAiplatformV1SearchMigratableResourcesRequest request,
  2. String parent, {
  3. String? $fields,
})

Searches all of the resources in automl.googleapis.com, datalabeling.googleapis.com and ml.googleapis.com that can be migrated to Vertex AI's given location.

request - The metadata request object.

Request parameters:

parent - Required. The location that the migratable resources should be searched from. It's the Vertex AI location that the resources can be migrated to, not the resources' original location. Format: projects/{project}/locations/{location} Value must have pattern ^projects/\[^/\]+/locations/\[^/\]+$.

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

Completes with a GoogleCloudAiplatformV1SearchMigratableResourcesResponse.

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<GoogleCloudAiplatformV1SearchMigratableResourcesResponse> search(
  GoogleCloudAiplatformV1SearchMigratableResourcesRequest request,
  core.String parent, {
  core.String? $fields,
}) async {
  final body_ = convert.json.encode(request);
  final queryParams_ = <core.String, core.List<core.String>>{
    if ($fields != null) 'fields': [$fields],
  };

  final url_ =
      'v1/' + core.Uri.encodeFull('$parent') + '/migratableResources:search';

  final response_ = await _requester.request(
    url_,
    'POST',
    body: body_,
    queryParams: queryParams_,
  );
  return GoogleCloudAiplatformV1SearchMigratableResourcesResponse.fromJson(
      response_ as core.Map<core.String, core.dynamic>);
}