def sample_create_feature(): # Create a client client = aiplatform_v1.FeaturestoreServiceClient() # Initialize request argument(s) feature = aiplatform_v1.Feature() feature.value_type = "BYTES" request = aiplatform_v1.CreateFeatureRequest( parent="parent_value", feature=feature, feature_id="feature_id_value", ) # Make the request operation = client.create_feature(request=request) print("Waiting for operation to complete...") response = operation.result() # Handle the response print(response)
async def sample_batch_create_features(): # Create a client client = aiplatform_v1.FeaturestoreServiceAsyncClient() # Initialize request argument(s) requests = aiplatform_v1.CreateFeatureRequest() requests.parent = "parent_value" requests.feature.value_type = "BYTES" requests.feature_id = "feature_id_value" request = aiplatform_v1.BatchCreateFeaturesRequest( parent="parent_value", requests=requests, ) # Make the request operation = client.batch_create_features(request=request) print("Waiting for operation to complete...") response = await operation.result() # Handle the response print(response)