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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,82 @@ | ||
| // Copyright 2023 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 | ||
| // | ||
| // http://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. | ||
|
|
||
| /* eslint-disable */ | ||
|
|
||
| 'use strict'; | ||
|
|
||
| const {assert} = require('chai'); | ||
| const {describe, it} = require('mocha'); | ||
| const uuid = require('uuid') | ||
| const sinon = require('sinon'); | ||
|
|
||
| const aiplatform = require('@google-cloud/aiplatform'); | ||
| const clientOptions = { | ||
| apiEndpoint: 'europe-west4-aiplatform.googleapis.com', | ||
| }; | ||
| const pipelineClient = new aiplatform.v1.PipelineServiceClient(clientOptions); | ||
|
|
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| const {tuneModel} = require('../tuning'); | ||
|
|
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| const projectId = process.env.CAIP_PROJECT_ID; | ||
| const location = 'europe-west4'; | ||
| const timestampId = `${new Date().toISOString().replace(/(:|\.)/g, '-').toLowerCase()}` | ||
| const pipelineJobName = `my-tuning-pipeline-${timestampId}` | ||
| const modelDisplayName = `my-tuned-model-${timestampId}` | ||
| const bucketName = `ucaip-samples-europe-west4/training_pipeline_output`; | ||
| const bucketUri = `gs://${bucketName}/tune-model-nodejs` | ||
|
|
||
| describe('Tune a model', () => { | ||
| const stubConsole = function () { | ||
| sinon.stub(console, 'error'); | ||
| sinon.stub(console, 'log'); | ||
| }; | ||
|
|
||
| const restoreConsole = function () { | ||
| console.log.restore(); | ||
| console.error.restore(); | ||
| }; | ||
|
|
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| after(async () => { | ||
| // Cancel and delete the pipeline job | ||
| const name = pipelineClient.pipelineJobPath( | ||
| projectId, | ||
| location, | ||
| pipelineJobName | ||
| ); | ||
|
|
||
| const cancelRequest = { | ||
| name, | ||
| }; | ||
|
|
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| pipelineClient.cancelPipelineJob(cancelRequest).then(() => { | ||
| const deleteRequest = { | ||
| name, | ||
| }; | ||
|
|
||
| return pipelineClient.deletePipeline(deleteRequest); | ||
| }); | ||
| }); | ||
|
|
||
| beforeEach(stubConsole); | ||
| afterEach(restoreConsole); | ||
|
|
||
| it('should prompt-tune an existing model', async () => { | ||
| // Act | ||
| await tuneModel(projectId, pipelineJobName, modelDisplayName, bucketUri); | ||
|
|
||
| // Assert | ||
| assert.include(console.log.firstCall.args, 'Tuning pipeline job:'); | ||
| }); | ||
| }); |
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