streamingReadFeatureValues method

Future<GoogleCloudAiplatformV1ReadFeatureValuesResponse> streamingReadFeatureValues(
  1. GoogleCloudAiplatformV1StreamingReadFeatureValuesRequest request,
  2. String entityType, {
  3. String? $fields,
})

Reads Feature values for multiple entities.

Depending on their size, data for different entities may be broken up across multiple responses.

request - The metadata request object.

Request parameters:

entityType - Required. The resource name of the entities' type. Value format: projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}. For example, for a machine learning model predicting user clicks on a website, an EntityType ID could be user. Value must have pattern ^projects/\[^/\]+/locations/\[^/\]+/featurestores/\[^/\]+/entityTypes/\[^/\]+$.

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

Completes with a GoogleCloudAiplatformV1ReadFeatureValuesResponse.

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<GoogleCloudAiplatformV1ReadFeatureValuesResponse>
    streamingReadFeatureValues(
  GoogleCloudAiplatformV1StreamingReadFeatureValuesRequest request,
  core.String entityType, {
  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('$entityType') +
      ':streamingReadFeatureValues';

  final response_ = await _requester.request(
    url_,
    'POST',
    body: body_,
    queryParams: queryParams_,
  );
  return GoogleCloudAiplatformV1ReadFeatureValuesResponse.fromJson(
      response_ as core.Map<core.String, core.dynamic>);
}