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export-feature-values-sample.js
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export-feature-values-sample.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.
*/
/*
* Exports Feature values from all the entities of a target EntityType.
* See https://cloud.google.com/vertex-ai/docs/featurestore/setup before running
* the code snippet
*/
'use strict';
async function main(
project,
featurestoreId,
entityTypeId,
destinationTableUri,
location = 'us-central1',
apiEndpoint = 'us-central1-aiplatform.googleapis.com',
timeout = 300000
) {
// [START aiplatform_export_feature_values_sample]
/**
* TODO(developer): Uncomment these variables before running the sample.\
* (Not necessary if passing values as arguments)
*/
// const project = 'YOUR_PROJECT_ID';
// const featurestoreId = 'YOUR_FEATURESTORE_ID';
// const entityTypeId = 'YOUR_ENTITY_TYPE_ID';
// const destinationTableUri = 'YOUR_BQ_DESTINATION_TABLE_URI';
// const location = 'YOUR_PROJECT_LOCATION';
// const apiEndpoint = 'YOUR_API_ENDPOINT';
// const timeout = <TIMEOUT_IN_MILLI_SECONDS>;
// Imports the Google Cloud Featurestore Service Client library
const {FeaturestoreServiceClient} = require('@google-cloud/aiplatform').v1;
// Specifies the location of the api endpoint
const clientOptions = {
apiEndpoint: apiEndpoint,
};
// Instantiates a client
const featurestoreServiceClient = new FeaturestoreServiceClient(
clientOptions
);
async function exportFeatureValues() {
// Configure the entityType resource
const entityType = `projects/${project}/locations/${location}/featurestores/${featurestoreId}/entityTypes/${entityTypeId}`;
const destination = {
bigqueryDestination: {
// # Output to BigQuery table created earlier
outputUri: destinationTableUri,
},
};
const featureSelector = {
idMatcher: {
ids: ['age', 'gender', 'liked_genres'],
},
};
const request = {
entityType: entityType,
destination: destination,
featureSelector: featureSelector,
fullExport: {},
};
// Export Feature Values Request
const [operation] = await featurestoreServiceClient.exportFeatureValues(
request,
{timeout: Number(timeout)}
);
const [response] = await operation.promise();
console.log('Export feature values response');
console.log('Raw response:');
console.log(JSON.stringify(response, null, 2));
}
exportFeatureValues();
// [END aiplatform_export_feature_values_sample]
}
process.on('unhandledRejection', err => {
console.error(err.message);
process.exitCode = 1;
});
main(...process.argv.slice(2));