addContextArtifactsAndExecutions method

Future<GoogleCloudAiplatformV1AddContextArtifactsAndExecutionsResponse> addContextArtifactsAndExecutions(
  1. GoogleCloudAiplatformV1AddContextArtifactsAndExecutionsRequest request,
  2. String context, {
  3. String? $fields,
})

Adds a set of Artifacts and Executions to a Context.

If any of the Artifacts or Executions have already been added to a Context, they are simply skipped.

request - The metadata request object.

Request parameters:

context - Required. The resource name of the Context that the Artifacts and Executions belong to. Format: projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context} Value must have pattern ^projects/\[^/\]+/locations/\[^/\]+/metadataStores/\[^/\]+/contexts/\[^/\]+$.

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

Completes with a GoogleCloudAiplatformV1AddContextArtifactsAndExecutionsResponse.

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<GoogleCloudAiplatformV1AddContextArtifactsAndExecutionsResponse>
    addContextArtifactsAndExecutions(
  GoogleCloudAiplatformV1AddContextArtifactsAndExecutionsRequest request,
  core.String context, {
  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('$context') +
      ':addContextArtifactsAndExecutions';

  final response_ = await _requester.request(
    url_,
    'POST',
    body: body_,
    queryParams: queryParams_,
  );
  return GoogleCloudAiplatformV1AddContextArtifactsAndExecutionsResponse
      .fromJson(response_ as core.Map<core.String, core.dynamic>);
}