def sample_batch_read_feature_values():
# Create a client
client = aiplatform_v1.FeaturestoreServiceClient()
# Initialize request argument(s)
csv_read_instances = aiplatform_v1.CsvSource()
csv_read_instances.gcs_source.uris = ['uris_value_1', 'uris_value_2']
destination = aiplatform_v1.FeatureValueDestination()
destination.bigquery_destination.output_uri = "output_uri_value"
entity_type_specs = aiplatform_v1.EntityTypeSpec()
entity_type_specs.entity_type_id = "entity_type_id_value"
entity_type_specs.feature_selector.id_matcher.ids = ['ids_value_1', 'ids_value_2']
request = aiplatform_v1.BatchReadFeatureValuesRequest(
csv_read_instances=csv_read_instances,
featurestore="featurestore_value",
destination=destination,
entity_type_specs=entity_type_specs,
)
# Make the request
operation = client.batch_read_feature_values(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
async def sample_export_feature_values():
# Create a client
client = aiplatform_v1.FeaturestoreServiceAsyncClient()
# Initialize request argument(s)
destination = aiplatform_v1.FeatureValueDestination()
destination.bigquery_destination.output_uri = "output_uri_value"
feature_selector = aiplatform_v1.FeatureSelector()
feature_selector.id_matcher.ids = ['ids_value_1', 'ids_value_2']
request = aiplatform_v1.ExportFeatureValuesRequest(
entity_type="entity_type_value",
destination=destination,
feature_selector=feature_selector,
)
# Make the request
operation = client.export_feature_values(request=request)
print("Waiting for operation to complete...")
response = await operation.result()
# Handle the response
print(response)
