train method

Future<GoogleLongrunningOperation> train(GoogleCloudDialogflowV2TrainAgentRequest request, String parent, { String? $fields, })

Trains the specified agent.

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: An empty Struct message

• response: An Empty message Note: You should always train an agent prior to sending it queries. See the training documentation.

request - The metadata request object.

Request parameters:

parent - Required. The project that the agent to train is associated with. Format: projects/. Value must have pattern ^projects/\[^/\]+$.

$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> train(
  GoogleCloudDialogflowV2TrainAgentRequest 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_ = 'v2/' + core.Uri.encodeFull('$parent') + '/agent:train';

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