use of com.google.cloud.aiplatform.v1.UndeployModelOperationMetadata in project java-aiplatform by googleapis.
the class UndeployModelSample method undeployModelSample.
static void undeployModelSample(String project, String endpointId, String modelId) throws IOException, InterruptedException, ExecutionException, TimeoutException {
EndpointServiceSettings endpointServiceSettings = EndpointServiceSettings.newBuilder().setEndpoint("us-central1-aiplatform.googleapis.com:443").build();
// the "close" method on the client to safely clean up any remaining background resources.
try (EndpointServiceClient endpointServiceClient = EndpointServiceClient.create(endpointServiceSettings)) {
String location = "us-central1";
EndpointName endpointName = EndpointName.of(project, location, endpointId);
ModelName modelName = ModelName.of(project, location, modelId);
// key '0' assigns traffic for the newly deployed model
// Traffic percentage values must add up to 100
// Leave dictionary empty if endpoint should not accept any traffic
Map<String, Integer> trafficSplit = new HashMap<>();
trafficSplit.put("0", 100);
OperationFuture<UndeployModelResponse, UndeployModelOperationMetadata> operation = endpointServiceClient.undeployModelAsync(endpointName.toString(), modelName.toString(), trafficSplit);
System.out.format("Operation name: %s\n", operation.getInitialFuture().get().getName());
System.out.println("Waiting for operation to finish...");
UndeployModelResponse undeployModelResponse = operation.get(180, TimeUnit.SECONDS);
System.out.format("Undeploy Model Response: %s\n", undeployModelResponse);
}
}
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