importData method

Future<GoogleLongrunningOperation> importData(
  1. GoogleCloudDatalabelingV1beta1ImportDataRequest request,
  2. String name, {
  3. String? $fields,
})

Imports data into dataset based on source locations defined in request.

It can be called multiple times for the same dataset. Each dataset can only have one long running operation running on it. For example, no labeling task (also long running operation) can be started while importing is still ongoing. Vice versa.

request - The metadata request object.

Request parameters:

name - Required. Dataset resource name, format: projects/{project_id}/datasets/{dataset_id} Value must have pattern ^projects/\[^/\]+/datasets/\[^/\]+$.

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

Completes with a GoogleLongrunningOperation.

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<GoogleLongrunningOperation> importData(
  GoogleCloudDatalabelingV1beta1ImportDataRequest request,
  core.String name, {
  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 = 'v1beta1/' + core.Uri.encodeFull('$name') + ':importData';

  final _response = await _requester.request(
    _url,
    'POST',
    body: _body,
    queryParams: _queryParams,
  );
  return GoogleLongrunningOperation.fromJson(
      _response as core.Map<core.String, core.dynamic>);
}