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)