import method

Imports the specified agent from a ZIP file.

Uploads new intents and entity types without deleting the existing ones. Intents and entity types with the same name are replaced with the new versions from ImportAgentRequest. After the import, the imported draft agent will be trained automatically (unless disabled in agent settings). However, once the import is done, training may not be completed yet. Please call TrainAgent and wait for the operation it returns in order to train explicitly. 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 The operation only tracks when importing is complete, not when it is done training. 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 import 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> import(
  GoogleCloudDialogflowV2ImportAgentRequest 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:import';

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