def sample_get_index_endpoint():
# Create a client
client = aiplatform_v1beta1.IndexEndpointServiceClient()
# Initialize request argument(s)
request = aiplatform_v1beta1.GetIndexEndpointRequest(name="name_value", )
# Make the request
response = client.get_index_endpoint(request=request)
# Handle the response
print(response)
def sample_list_index_endpoints():
# Create a client
client = aiplatform_v1beta1.IndexEndpointServiceClient()
# Initialize request argument(s)
request = aiplatform_v1beta1.ListIndexEndpointsRequest(
parent="parent_value", )
# Make the request
page_result = client.list_index_endpoints(request=request)
# Handle the response
for response in page_result:
print(response)
def sample_update_index_endpoint():
# Create a client
client = aiplatform_v1beta1.IndexEndpointServiceClient()
# Initialize request argument(s)
index_endpoint = aiplatform_v1beta1.IndexEndpoint()
index_endpoint.display_name = "display_name_value"
request = aiplatform_v1beta1.UpdateIndexEndpointRequest(
index_endpoint=index_endpoint, )
# Make the request
response = client.update_index_endpoint(request=request)
# Handle the response
print(response)
def sample_delete_index_endpoint():
# Create a client
client = aiplatform_v1beta1.IndexEndpointServiceClient()
# Initialize request argument(s)
request = aiplatform_v1beta1.DeleteIndexEndpointRequest(
name="name_value", )
# Make the request
operation = client.delete_index_endpoint(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
def sample_undeploy_index():
# Create a client
client = aiplatform_v1beta1.IndexEndpointServiceClient()
# Initialize request argument(s)
request = aiplatform_v1beta1.UndeployIndexRequest(
index_endpoint="index_endpoint_value",
deployed_index_id="deployed_index_id_value",
)
# Make the request
operation = client.undeploy_index(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
def sample_create_index_endpoint():
# Create a client
client = aiplatform_v1beta1.IndexEndpointServiceClient()
# Initialize request argument(s)
index_endpoint = aiplatform_v1beta1.IndexEndpoint()
index_endpoint.display_name = "display_name_value"
request = aiplatform_v1beta1.CreateIndexEndpointRequest(
parent="parent_value",
index_endpoint=index_endpoint,
)
# Make the request
operation = client.create_index_endpoint(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
def sample_mutate_deployed_index():
# Create a client
client = aiplatform_v1beta1.IndexEndpointServiceClient()
# Initialize request argument(s)
deployed_index = aiplatform_v1beta1.DeployedIndex()
deployed_index.id = "id_value"
deployed_index.index = "index_value"
request = aiplatform_v1beta1.MutateDeployedIndexRequest(
index_endpoint="index_endpoint_value",
deployed_index=deployed_index,
)
# Make the request
operation = client.mutate_deployed_index(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)