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[ML] Anomaly Detection: Functional tests for anomaly detection foreca…
…sts. (elastic#116140) Functional tests for anomaly detection forecasts.
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x-pack/test/functional/apps/ml/anomaly_detection/forecasts.ts
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,116 @@ | ||
| /* | ||
| * 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 { FtrProviderContext } from '../../../ftr_provider_context'; | ||
| import { Job, Datafeed } from '../../../../../plugins/ml/common/types/anomaly_detection_jobs'; | ||
|
|
||
| // @ts-expect-error not full interface | ||
| const JOB_CONFIG: Job = { | ||
| job_id: `fq_single_1_smv`, | ||
| description: 'count() on farequote dataset with 15m bucket span', | ||
| groups: ['farequote', 'automated', 'single-metric'], | ||
| analysis_config: { | ||
| bucket_span: '15m', | ||
| influencers: [], | ||
| detectors: [ | ||
| { | ||
| function: 'count', | ||
| }, | ||
| ], | ||
| }, | ||
| data_description: { time_field: '@timestamp' }, | ||
| analysis_limits: { model_memory_limit: '10mb' }, | ||
| model_plot_config: { enabled: true }, | ||
| }; | ||
|
|
||
| // @ts-expect-error not full interface | ||
| const DATAFEED_CONFIG: Datafeed = { | ||
| datafeed_id: 'datafeed-fq_single_1_smv', | ||
| indices: ['ft_farequote'], | ||
| job_id: 'fq_single_1_smv', | ||
| query: { bool: { must: [{ match_all: {} }] } }, | ||
| }; | ||
|
|
||
| export default function ({ getService }: FtrProviderContext) { | ||
| const esArchiver = getService('esArchiver'); | ||
| const ml = getService('ml'); | ||
|
|
||
| describe('forecasts', function () { | ||
| this.tags(['mlqa']); | ||
|
|
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| describe('with single metric job', function () { | ||
| before(async () => { | ||
| await esArchiver.loadIfNeeded('x-pack/test/functional/es_archives/ml/farequote'); | ||
| await ml.testResources.createIndexPatternIfNeeded('ft_farequote', '@timestamp'); | ||
| await ml.testResources.setKibanaTimeZoneToUTC(); | ||
|
|
||
| await ml.api.createAndRunAnomalyDetectionLookbackJob(JOB_CONFIG, DATAFEED_CONFIG); | ||
| await ml.securityUI.loginAsMlPowerUser(); | ||
| }); | ||
|
|
||
| after(async () => { | ||
| await ml.api.cleanMlIndices(); | ||
| }); | ||
|
|
||
| it('opens a job from job list link', async () => { | ||
| await ml.testExecution.logTestStep('navigate to job list'); | ||
| await ml.navigation.navigateToMl(); | ||
| await ml.navigation.navigateToJobManagement(); | ||
|
|
||
| await ml.testExecution.logTestStep('open job in single metric viewer'); | ||
| await ml.jobTable.waitForJobsToLoad(); | ||
| await ml.jobTable.filterWithSearchString(JOB_CONFIG.job_id, 1); | ||
|
|
||
| await ml.jobTable.clickOpenJobInSingleMetricViewerButton(JOB_CONFIG.job_id); | ||
| await ml.commonUI.waitForMlLoadingIndicatorToDisappear(); | ||
| }); | ||
|
|
||
| it('displays job results', async () => { | ||
| await ml.testExecution.logTestStep('pre-fills the job selection'); | ||
| await ml.jobSelection.assertJobSelection([JOB_CONFIG.job_id]); | ||
|
|
||
| await ml.testExecution.logTestStep('pre-fills the detector input'); | ||
| await ml.singleMetricViewer.assertDetectorInputExist(); | ||
| await ml.singleMetricViewer.assertDetectorInputValue('0'); | ||
|
|
||
| await ml.testExecution.logTestStep('displays the chart'); | ||
| await ml.singleMetricViewer.assertChartExist(); | ||
|
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| await ml.testExecution.logTestStep('should not display the forecasts toggle checkbox'); | ||
| await ml.forecast.assertForecastCheckboxMissing(); | ||
|
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| await ml.testExecution.logTestStep('should open the forecasts modal'); | ||
| await ml.forecast.assertForecastButtonExists(); | ||
| await ml.forecast.assertForecastButtonEnabled(true); | ||
| await ml.forecast.openForecastModal(); | ||
| await ml.forecast.assertForecastModalRunButtonEnabled(true); | ||
|
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| await ml.testExecution.logTestStep('should run the forecast and close the modal'); | ||
| await ml.forecast.clickForecastModalRunButton(); | ||
|
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| await ml.testExecution.logTestStep('should display the forecasts toggle checkbox'); | ||
| await ml.forecast.assertForecastCheckboxExists(); | ||
|
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| await ml.testExecution.logTestStep( | ||
| 'should display the forecast in the single metric chart' | ||
| ); | ||
| await ml.forecast.assertForecastChartElementsExists(); | ||
|
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| await ml.testExecution.logTestStep('should hide the forecast in the single metric chart'); | ||
| await ml.forecast.clickForecastCheckbox(); | ||
| await ml.forecast.assertForecastChartElementsHidden(); | ||
|
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| await ml.testExecution.logTestStep('should open the forecasts modal and list the forecast'); | ||
| await ml.forecast.assertForecastButtonExists(); | ||
| await ml.forecast.assertForecastButtonEnabled(true); | ||
| await ml.forecast.openForecastModal(); | ||
| await ml.forecast.assertForecastTableExists(); | ||
| await ml.forecast.assertForecastTableNotEmpty(); | ||
| }); | ||
| }); | ||
| }); | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,126 @@ | ||
| /* | ||
| * 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'; | ||
|
|
||
| import { FtrProviderContext } from '../../ftr_provider_context'; | ||
|
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| export function MachineLearningForecastProvider({ getService }: FtrProviderContext) { | ||
| const testSubjects = getService('testSubjects'); | ||
|
|
||
| return { | ||
| async assertForecastButtonExists() { | ||
| await testSubjects.existOrFail( | ||
| 'mlSingleMetricViewerSeriesControls > mlSingleMetricViewerButtonForecast' | ||
| ); | ||
| }, | ||
|
|
||
| async assertForecastButtonEnabled(expectedValue: boolean) { | ||
| const isEnabled = await testSubjects.isEnabled( | ||
| 'mlSingleMetricViewerSeriesControls > mlSingleMetricViewerButtonForecast' | ||
| ); | ||
| expect(isEnabled).to.eql( | ||
| expectedValue, | ||
| `Expected "forecast" button to be '${expectedValue ? 'enabled' : 'disabled'}' (got '${ | ||
| isEnabled ? 'enabled' : 'disabled' | ||
| }')` | ||
| ); | ||
| }, | ||
|
|
||
| async assertForecastChartElementsExists() { | ||
| await testSubjects.existOrFail(`mlForecastArea`, { | ||
| timeout: 30 * 1000, | ||
| }); | ||
| await testSubjects.existOrFail(`mlForecastValuesline`, { | ||
| timeout: 30 * 1000, | ||
| }); | ||
| await testSubjects.existOrFail(`mlForecastMarkers`, { | ||
| timeout: 30 * 1000, | ||
| }); | ||
| }, | ||
|
|
||
| async assertForecastChartElementsHidden() { | ||
| await testSubjects.missingOrFail(`mlForecastArea`, { | ||
| allowHidden: true, | ||
| timeout: 30 * 1000, | ||
| }); | ||
| await testSubjects.missingOrFail(`mlForecastValuesline`, { | ||
| allowHidden: true, | ||
| timeout: 30 * 1000, | ||
| }); | ||
| await testSubjects.missingOrFail(`mlForecastMarkers`, { | ||
| allowHidden: true, | ||
| timeout: 30 * 1000, | ||
| }); | ||
| }, | ||
|
|
||
| async assertForecastCheckboxExists() { | ||
| await testSubjects.existOrFail(`mlForecastCheckbox`, { | ||
| timeout: 30 * 1000, | ||
| }); | ||
| }, | ||
|
|
||
| async assertForecastCheckboxMissing() { | ||
| await testSubjects.missingOrFail(`mlForecastCheckbox`, { | ||
| timeout: 30 * 1000, | ||
| }); | ||
| }, | ||
|
|
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| async clickForecastCheckbox() { | ||
| await testSubjects.click('mlForecastCheckbox'); | ||
| }, | ||
|
|
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| async openForecastModal() { | ||
| await testSubjects.click( | ||
| 'mlSingleMetricViewerSeriesControls > mlSingleMetricViewerButtonForecast' | ||
| ); | ||
| await testSubjects.existOrFail('mlModalForecast'); | ||
| }, | ||
|
|
||
| async closeForecastModal() { | ||
| await testSubjects.click('mlModalForecast > mlModalForecastButtonClose'); | ||
| await this.assertForecastModalMissing(); | ||
| }, | ||
|
|
||
| async assertForecastModalMissing() { | ||
| await testSubjects.missingOrFail(`mlModalForecast`, { | ||
| timeout: 30 * 1000, | ||
| }); | ||
| }, | ||
|
|
||
| async assertForecastModalRunButtonEnabled(expectedValue: boolean) { | ||
| const isEnabled = await testSubjects.isEnabled('mlModalForecast > mlModalForecastButtonRun'); | ||
| expect(isEnabled).to.eql( | ||
| expectedValue, | ||
| `Expected forecast "run" button to be '${expectedValue ? 'enabled' : 'disabled'}' (got '${ | ||
| isEnabled ? 'enabled' : 'disabled' | ||
| }')` | ||
| ); | ||
| }, | ||
|
|
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| async assertForecastTableExists() { | ||
| await testSubjects.existOrFail('mlModalForecast > mlModalForecastTable'); | ||
| }, | ||
|
|
||
| async clickForecastModalRunButton() { | ||
| await testSubjects.click('mlModalForecast > mlModalForecastButtonRun'); | ||
| await this.assertForecastModalMissing(); | ||
| }, | ||
|
|
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| async getForecastTableRows() { | ||
| return await testSubjects.findAll('mlModalForecastTable > ~mlForecastsListRow'); | ||
| }, | ||
|
|
||
| async assertForecastTableNotEmpty() { | ||
| const tableRows = await this.getForecastTableRows(); | ||
| expect(tableRows.length).to.be.greaterThan( | ||
| 0, | ||
| `Forecast table should have at least one row (got '${tableRows.length}')` | ||
| ); | ||
| }, | ||
| }; | ||
| } |
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