invoke method

Future<GoogleApiHttpBody> invoke(GoogleCloudAiplatformV1InvokeRequest request, String endpoint, String deployedModelId, String invokeId, { String? $fields, })

Forwards arbitrary HTTP requests for both streaming and non-streaming cases.

To use this method, invoke_route_prefix must be set to allow the paths that will be specified in the request.

request - The metadata request object.

Request parameters:

endpoint - Required. The name of the Endpoint requested to serve the prediction. Format: projects/{project}/locations/{location}/endpoints/{endpoint} Value must have pattern ^projects/\[^/\]+/locations/\[^/\]+/endpoints/\[^/\]+$.

deployedModelId - ID of the DeployedModel that serves the invoke request.

invokeId - null

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

Completes with a GoogleApiHttpBody.

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<GoogleApiHttpBody> invoke(
  GoogleCloudAiplatformV1InvokeRequest request,
  core.String endpoint,
  core.String deployedModelId,
  core.String invokeId, {
  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_ =
      'v1/' +
      core.Uri.encodeFull('$endpoint') +
      '/deployedModels/' +
      commons.escapeVariable('$deployedModelId') +
      '/invoke/' +
      core.Uri.encodeFull('$invokeId');

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