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create-batch-prediction-job-text-entity-extraction.test.js
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74 lines (64 loc) · 2.47 KB
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/*
* Copyright 2021 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.
*/
'use strict';
import {assert} from 'chai';
import {after, describe, it} from 'mocha';
import {v4 as uuid} from 'uuid';
import cp from 'node:child_process';
const execSync = cmd => cp.execSync(cmd, {encoding: 'utf-8'});
import aiplatform from '@google-cloud/aiplatform';
const clientOptions = {
apiEndpoint: 'us-central1-aiplatform.googleapis.com',
};
const jobServiceClient = new aiplatform.v1.JobServiceClient(clientOptions);
const batchPredictionDisplayName = `temp_create_batch_prediction_text_entity_extraction_test${uuid()}`;
const modelId = '6305215400179138560';
const gcsSourceUri =
'gs://ucaip-samples-test-output/inputs/batch_predict_TEN/ten_inputs.jsonl';
const gcsDestinationOutputUriPrefix = 'gs://ucaip-samples-test-output/';
const location = 'us-central1';
const project = process.env.CAIP_PROJECT_ID;
let batchPredictionJobId;
describe('AI platform create batch prediction job text entity extraction', () => {
it('should create a text entity extraction batch prediction job', async () => {
const stdout = execSync(
`node ./create-batch-prediction-job-text-entity-extraction.js ${batchPredictionDisplayName} ${modelId} ${gcsSourceUri} ${gcsDestinationOutputUriPrefix} ${project} ${location}`
);
assert.match(
stdout,
/Create batch prediction job text entity extraction response/
);
batchPredictionJobId = stdout
.split('/locations/us-central1/batchPredictionJobs/')[1]
.split('\n')[0];
});
after('should cancel delete the batch prediction job', async () => {
const name = jobServiceClient.batchPredictionJobPath(
project,
location,
batchPredictionJobId
);
const cancelRequest = {
name,
};
jobServiceClient.cancelBatchPredictionJob(cancelRequest).then(() => {
const deleteRequest = {
name,
};
return jobServiceClient.deleteBatchPredictionJob(deleteRequest);
});
});
});