train method

Future<GoogleLongrunningOperation> train(GoogleCloudDialogflowCxV3TrainFlowRequest request, String name, { String? $fields, })

Trains the specified flow.

Note that only the flow in 'draft' environment is trained. This method is a [long-running operation](https://cloud.google.com/dialogflow/cx/docs/how/long-running-operation). The returned Operation type has the following method-specific fields: - metadata: An empty Struct message

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

request - The metadata request object.

Request parameters:

name - Required. The flow to train. Format: projects//locations//agents//flows/. Value must have pattern ^projects/\[^/\]+/locations/\[^/\]+/agents/\[^/\]+/flows/\[^/\]+$.

$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(
  GoogleCloudDialogflowCxV3TrainFlowRequest 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_ = 'v3/' + core.Uri.encodeFull('$name') + ':train';

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