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endpoint_service.undeploy_model.js
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endpoint_service.undeploy_model.js
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// Copyright 2022 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// https://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//
// ** This file is automatically generated by gapic-generator-typescript. **
// ** https://github.com/googleapis/gapic-generator-typescript **
// ** All changes to this file may be overwritten. **
'use strict';
function main(endpoint, deployedModelId) {
// [START aiplatform_v1_generated_EndpointService_UndeployModel_async]
/**
* This snippet has been automatically generated and should be regarded as a code template only.
* It will require modifications to work.
* It may require correct/in-range values for request initialization.
* TODO(developer): Uncomment these variables before running the sample.
*/
/**
* Required. The name of the Endpoint resource from which to undeploy a Model.
* Format:
* `projects/{project}/locations/{location}/endpoints/{endpoint}`
*/
// const endpoint = 'abc123'
/**
* Required. The ID of the DeployedModel to be undeployed from the Endpoint.
*/
// const deployedModelId = 'abc123'
/**
* If this field is provided, then the Endpoint's
* traffic_split google.cloud.aiplatform.v1.Endpoint.traffic_split will be overwritten with it. If
* last DeployedModel is being undeployed from the Endpoint, the
* Endpoint.traffic_split will always end up empty when this call returns.
* A DeployedModel will be successfully undeployed only if it doesn't have
* any traffic assigned to it when this method executes, or if this field
* unassigns any traffic to it.
*/
// const trafficSplit = 1234
// Imports the Aiplatform library
const {EndpointServiceClient} = require('@google-cloud/aiplatform').v1;
// Instantiates a client
const aiplatformClient = new EndpointServiceClient();
async function callUndeployModel() {
// Construct request
const request = {
endpoint,
deployedModelId,
};
// Run request
const [operation] = await aiplatformClient.undeployModel(request);
const [response] = await operation.promise();
console.log(response);
}
callUndeployModel();
// [END aiplatform_v1_generated_EndpointService_UndeployModel_async]
}
process.on('unhandledRejection', err => {
console.error(err.message);
process.exitCode = 1;
});
main(...process.argv.slice(2));