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[ML] Api tests for ml/modules/jobs_exist/{moduleId} (elastic#142378)
* [ML] Api tests for ml/modules/jobs_exist/{moduleId}
* fixing title
* fixing delete index pattern function
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x-pack/test/api_integration/apis/ml/modules/jobs_exist.ts
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,119 @@ | ||
| /* | ||
| * Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one | ||
| * or more contributor license agreements. Licensed under the Elastic License | ||
| * 2.0; you may not use this file except in compliance with the Elastic License | ||
| * 2.0. | ||
| */ | ||
|
|
||
| import expect from '@kbn/expect'; | ||
|
|
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| import { FtrProviderContext } from '../../../ftr_provider_context'; | ||
| import { USER } from '../../../../functional/services/ml/security_common'; | ||
| import { COMMON_REQUEST_HEADERS } from '../../../../functional/services/ml/common_api'; | ||
|
|
||
| export default ({ getService }: FtrProviderContext) => { | ||
| const esArchiver = getService('esArchiver'); | ||
| const supertest = getService('supertestWithoutAuth'); | ||
| const ml = getService('ml'); | ||
|
|
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| const idSpace1 = 'space1'; | ||
| const sourceDataArchive = 'x-pack/test/functional/es_archives/ml/module_sample_logs'; | ||
| const moduleInfo = { | ||
| moduleId: 'sample_data_weblogs', | ||
| jobIds: ['low_request_rate', 'response_code_rates', 'url_scanning'], | ||
| dataView: { name: 'ft_module_sample_logs', timeField: '@timestamp' }, | ||
| }; | ||
|
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| async function runRequest(moduleId: string, expectedStatusCode: number, user: USER) { | ||
| const { body, status } = await supertest | ||
| .get(`/api/ml/modules/jobs_exist/${moduleId}`) | ||
| .auth(user, ml.securityCommon.getPasswordForUser(user)) | ||
| .set(COMMON_REQUEST_HEADERS); | ||
|
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| ml.api.assertResponseStatusCode(expectedStatusCode, status, body); | ||
| return body; | ||
| } | ||
|
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| describe('GET ml/modules/jobs_exist/{moduleId}', function () { | ||
| before(async () => { | ||
| await ml.testResources.setKibanaTimeZoneToUTC(); | ||
| await esArchiver.loadIfNeeded(sourceDataArchive); | ||
| // create data view in default space | ||
| await ml.testResources.createIndexPatternIfNeeded( | ||
| moduleInfo.dataView.name, | ||
| moduleInfo.dataView.timeField | ||
| ); | ||
| // create data view in idSpace1 | ||
| await ml.testResources.createIndexPatternIfNeeded( | ||
| moduleInfo.dataView.name, | ||
| moduleInfo.dataView.timeField, | ||
| idSpace1 | ||
| ); | ||
| }); | ||
|
|
||
| afterEach(async () => { | ||
| await ml.api.cleanMlIndices(); | ||
| }); | ||
|
|
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| after(async () => { | ||
| // delete all data views in all spaces | ||
| await ml.testResources.deleteIndexPatternByTitle(moduleInfo.dataView.name); | ||
| await ml.testResources.deleteIndexPatternByTitle(moduleInfo.dataView.name, idSpace1); | ||
| }); | ||
|
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| it('should find jobs installed by module without prefix', async () => { | ||
| const prefix = ''; | ||
| await ml.api.setupModule(moduleInfo.moduleId, { | ||
| prefix, | ||
| indexPatternName: moduleInfo.dataView.name, | ||
| startDatafeed: false, | ||
| estimateModelMemory: false, | ||
| }); | ||
| const { jobsExist, jobs } = await runRequest(moduleInfo.moduleId, 200, USER.ML_POWERUSER); | ||
|
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| const expectedJobIds = moduleInfo.jobIds.map((j) => ({ id: `${prefix}${j}` })); | ||
| expect(jobsExist).to.eql(true, 'Expected jobsExist to be true'); | ||
| expect(jobs).to.eql(expectedJobIds, `Expected jobs to be ${expectedJobIds}`); | ||
| }); | ||
|
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| it('should find jobs installed by module with prefix', async () => { | ||
| const prefix = 'pf1_'; | ||
| await ml.api.setupModule(moduleInfo.moduleId, { | ||
| prefix, | ||
| indexPatternName: moduleInfo.dataView.name, | ||
| startDatafeed: false, | ||
| estimateModelMemory: false, | ||
| }); | ||
| const { jobsExist, jobs } = await runRequest(moduleInfo.moduleId, 200, USER.ML_POWERUSER); | ||
|
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| const expectedJobIds = moduleInfo.jobIds.map((j) => ({ id: `${prefix}${j}` })); | ||
| expect(jobsExist).to.eql(true, 'Expected jobsExist to be true'); | ||
| expect(jobs).to.eql(expectedJobIds, `Expected jobs to be ${expectedJobIds}`); | ||
| }); | ||
|
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| it('should not find jobs installed into a different space', async () => { | ||
| const prefix = 'pf1_'; | ||
| await ml.api.setupModule( | ||
| moduleInfo.moduleId, | ||
| { | ||
| prefix, | ||
| indexPatternName: moduleInfo.dataView.name, | ||
| startDatafeed: false, | ||
| estimateModelMemory: false, | ||
| }, | ||
| idSpace1 | ||
| ); | ||
| const { jobsExist, jobs } = await runRequest(moduleInfo.moduleId, 200, USER.ML_POWERUSER); | ||
|
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| expect(jobsExist).to.eql(false, 'Expected jobsExist to be false'); | ||
| expect(jobs).to.eql(undefined, `Expected jobs to be undefined`); | ||
| }); | ||
|
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| it("should not find jobs for module which hasn't been installed", async () => { | ||
| const { jobsExist, jobs } = await runRequest('apache_ecs', 200, USER.ML_POWERUSER); | ||
|
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| expect(jobsExist).to.eql(false, 'Expected jobsExist to be false'); | ||
| expect(jobs).to.eql(undefined, `Expected jobs to be undefined`); | ||
| }); | ||
| }); | ||
| }; |
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