importConversationData method

Future<GoogleLongrunningOperation> importConversationData(
  1. GoogleCloudDialogflowV2ImportConversationDataRequest request,
  2. String name, {
  3. String? $fields,
})

Import data into the specified conversation dataset.

Note that it is not allowed to import data to a conversation dataset that already has data in it. This method is a [long-running operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations). The returned Operation type has the following method-specific fields: - metadata: ImportConversationDataOperationMetadata - response: ImportConversationDataOperationResponse

request - The metadata request object.

Request parameters:

name - Required. Dataset resource name. Format: projects//locations//conversationDatasets/ Value must have pattern ^projects/\[^/\]+/locations/\[^/\]+/conversationDatasets/\[^/\]+$.

$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> importConversationData(
  GoogleCloudDialogflowV2ImportConversationDataRequest 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_ =
      'v2/' + core.Uri.encodeFull('$name') + ':importConversationData';

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