create method

Creates a TensorboardTimeSeries.

request - The metadata request object.

Request parameters:

parent - Required. The resource name of the TensorboardRun to create the TensorboardTimeSeries in. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run} Value must have pattern ^projects/\[^/\]+/locations/\[^/\]+/tensorboards/\[^/\]+/experiments/\[^/\]+/runs/\[^/\]+$.

tensorboardTimeSeriesId - Optional. The user specified unique ID to use for the TensorboardTimeSeries, which becomes the final component of the TensorboardTimeSeries's resource name. This value should match "a-z0-9{0, 127}"

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

Completes with a GoogleCloudAiplatformV1TensorboardTimeSeries.

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<GoogleCloudAiplatformV1TensorboardTimeSeries> create(
  GoogleCloudAiplatformV1TensorboardTimeSeries request,
  core.String parent, {
  core.String? tensorboardTimeSeriesId,
  core.String? $fields,
}) async {
  final body_ = convert.json.encode(request);
  final queryParams_ = <core.String, core.List<core.String>>{
    if (tensorboardTimeSeriesId != null)
      'tensorboardTimeSeriesId': [tensorboardTimeSeriesId],
    if ($fields != null) 'fields': [$fields],
  };

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

  final response_ = await _requester.request(
    url_,
    'POST',
    body: body_,
    queryParams: queryParams_,
  );
  return GoogleCloudAiplatformV1TensorboardTimeSeries.fromJson(
      response_ as core.Map<core.String, core.dynamic>);
}