queryDeployedModels method
List DeployedModels that have been deployed on this DeploymentResourcePool.
Request parameters:
deploymentResourcePool
- Required. The name of the target
DeploymentResourcePool to query. Format:
projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}
Value must have pattern
^projects/\[^/\]+/locations/\[^/\]+/deploymentResourcePools/\[^/\]+$
.
pageSize
- The maximum number of DeployedModels to return. The service
may return fewer than this value.
pageToken
- A page token, received from a previous QueryDeployedModels
call. Provide this to retrieve the subsequent page. When paginating, all
other parameters provided to QueryDeployedModels
must match the call
that provided the page token.
$fields
- Selector specifying which fields to include in a partial
response.
Completes with a GoogleCloudAiplatformV1QueryDeployedModelsResponse.
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<GoogleCloudAiplatformV1QueryDeployedModelsResponse>
queryDeployedModels(
core.String deploymentResourcePool, {
core.int? pageSize,
core.String? pageToken,
core.String? $fields,
}) async {
final queryParams_ = <core.String, core.List<core.String>>{
if (pageSize != null) 'pageSize': ['${pageSize}'],
if (pageToken != null) 'pageToken': [pageToken],
if ($fields != null) 'fields': [$fields],
};
final url_ = 'v1/' +
core.Uri.encodeFull('$deploymentResourcePool') +
':queryDeployedModels';
final response_ = await _requester.request(
url_,
'GET',
queryParams: queryParams_,
);
return GoogleCloudAiplatformV1QueryDeployedModelsResponse.fromJson(
response_ as core.Map<core.String, core.dynamic>);
}