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[ML] Adding option to create AD jobs without starting the datafeed (e…
…lastic#77484) * [ML] Adding option to create AD jobs without starting the datafeed * changing translation id * i just need some space * adding missed spelling change * disabling switch when running * improving logic * further test improvements Co-authored-by: Elastic Machine <[email protected]>
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7 changes: 7 additions & 0 deletions
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...tion/jobs/new_job/pages/components/summary_step/components/start_datafeed_switch/index.ts
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/* | ||
* Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one | ||
* or more contributor license agreements. Licensed under the Elastic License; | ||
* you may not use this file except in compliance with the Elastic License. | ||
*/ | ||
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export { StartDatafeedSwitch } from './start_datafeed_switch'; |
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.../pages/components/summary_step/components/start_datafeed_switch/start_datafeed_switch.tsx
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/* | ||
* Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one | ||
* or more contributor license agreements. Licensed under the Elastic License; | ||
* you may not use this file except in compliance with the Elastic License. | ||
*/ | ||
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import React, { FC } from 'react'; | ||
import { i18n } from '@kbn/i18n'; | ||
import { EuiSwitch, EuiFormRow, EuiSpacer } from '@elastic/eui'; | ||
interface Props { | ||
startDatafeed: boolean; | ||
setStartDatafeed(start: boolean): void; | ||
disabled?: boolean; | ||
} | ||
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export const StartDatafeedSwitch: FC<Props> = ({ | ||
startDatafeed, | ||
setStartDatafeed, | ||
disabled = false, | ||
}) => { | ||
return ( | ||
<> | ||
<EuiSpacer /> | ||
<EuiFormRow | ||
helpText={i18n.translate( | ||
'xpack.ml.newJob.wizard.summaryStep.startDatafeedCheckboxHelpText', | ||
{ | ||
defaultMessage: 'If unselected, job can be started later from the jobs list.', | ||
} | ||
)} | ||
> | ||
<EuiSwitch | ||
data-test-subj="mlJobWizardStartDatafeedCheckbox" | ||
label={i18n.translate('xpack.ml.newJob.wizard.summaryStep.startDatafeedCheckbox', { | ||
defaultMessage: 'Start immediately', | ||
})} | ||
checked={startDatafeed} | ||
onChange={(e) => setStartDatafeed(e.target.checked)} | ||
disabled={disabled} | ||
/> | ||
</EuiFormRow> | ||
</> | ||
); | ||
}; |
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151 changes: 151 additions & 0 deletions
151
x-pack/test/functional/apps/ml/anomaly_detection/single_metric_job_without_datafeed_start.ts
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/* | ||
* Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one | ||
* or more contributor license agreements. Licensed under the Elastic License; | ||
* you may not use this file except in compliance with the Elastic License. | ||
*/ | ||
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import { FtrProviderContext } from '../../../ftr_provider_context'; | ||
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export default function ({ getService }: FtrProviderContext) { | ||
const esArchiver = getService('esArchiver'); | ||
const ml = getService('ml'); | ||
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const jobId = `fq_single_1_${Date.now()}`; | ||
const aggAndFieldIdentifier = 'Mean(responsetime)'; | ||
const bucketSpan = '30m'; | ||
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function getExpectedRow(expectedJobId: string) { | ||
return { | ||
id: expectedJobId, | ||
description: '', | ||
jobGroups: [], | ||
recordCount: '0', | ||
memoryStatus: 'ok', | ||
jobState: 'closed', | ||
datafeedState: 'stopped', | ||
latestTimestamp: '', | ||
}; | ||
} | ||
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function getExpectedCounts(expectedJobId: string) { | ||
return { | ||
job_id: expectedJobId, | ||
processed_record_count: '0', | ||
processed_field_count: '0', | ||
input_bytes: '0.0 B', | ||
input_field_count: '0', | ||
invalid_date_count: '0', | ||
missing_field_count: '0', | ||
out_of_order_timestamp_count: '0', | ||
empty_bucket_count: '0', | ||
sparse_bucket_count: '0', | ||
bucket_count: '0', | ||
}; | ||
} | ||
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function getExpectedModelSizeStats(expectedJobId: string) { | ||
return { | ||
job_id: expectedJobId, | ||
result_type: 'model_size_stats', | ||
total_by_field_count: '0', | ||
total_over_field_count: '0', | ||
total_partition_field_count: '0', | ||
bucket_allocation_failures_count: '0', | ||
memory_status: 'ok', | ||
}; | ||
} | ||
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describe('single metric without datafeed start', function () { | ||
this.tags(['mlqa']); | ||
before(async () => { | ||
await esArchiver.loadIfNeeded('ml/farequote'); | ||
await ml.testResources.createIndexPatternIfNeeded('ft_farequote', '@timestamp'); | ||
await ml.testResources.setKibanaTimeZoneToUTC(); | ||
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await ml.securityUI.loginAsMlPowerUser(); | ||
}); | ||
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after(async () => { | ||
await ml.api.cleanMlIndices(); | ||
}); | ||
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it('job creation loads the single metric wizard for the source data', async () => { | ||
await ml.testExecution.logTestStep('job creation loads the job management page'); | ||
await ml.navigation.navigateToMl(); | ||
await ml.navigation.navigateToJobManagement(); | ||
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await ml.testExecution.logTestStep('job creation loads the new job source selection page'); | ||
await ml.jobManagement.navigateToNewJobSourceSelection(); | ||
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await ml.testExecution.logTestStep('job creation loads the job type selection page'); | ||
await ml.jobSourceSelection.selectSourceForAnomalyDetectionJob('ft_farequote'); | ||
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await ml.testExecution.logTestStep('job creation loads the single metric job wizard page'); | ||
await ml.jobTypeSelection.selectSingleMetricJob(); | ||
}); | ||
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it('job creation navigates through the single metric wizard and sets all needed fields', async () => { | ||
await ml.testExecution.logTestStep('job creation displays the time range step'); | ||
await ml.jobWizardCommon.assertTimeRangeSectionExists(); | ||
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await ml.testExecution.logTestStep('job creation sets the time range'); | ||
await ml.jobWizardCommon.clickUseFullDataButton( | ||
'Feb 7, 2016 @ 00:00:00.000', | ||
'Feb 11, 2016 @ 23:59:54.000' | ||
); | ||
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await ml.testExecution.logTestStep('job creation displays the event rate chart'); | ||
await ml.jobWizardCommon.assertEventRateChartExists(); | ||
await ml.jobWizardCommon.assertEventRateChartHasData(); | ||
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await ml.testExecution.logTestStep('job creation displays the pick fields step'); | ||
await ml.jobWizardCommon.advanceToPickFieldsSection(); | ||
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await ml.testExecution.logTestStep('job creation selects field and aggregation'); | ||
await ml.jobWizardCommon.assertAggAndFieldInputExists(); | ||
await ml.jobWizardCommon.selectAggAndField(aggAndFieldIdentifier, true); | ||
await ml.jobWizardCommon.assertAnomalyChartExists('LINE'); | ||
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await ml.testExecution.logTestStep('job creation inputs the bucket span'); | ||
await ml.jobWizardCommon.assertBucketSpanInputExists(); | ||
await ml.jobWizardCommon.setBucketSpan(bucketSpan); | ||
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await ml.testExecution.logTestStep('job creation displays the job details step'); | ||
await ml.jobWizardCommon.advanceToJobDetailsSection(); | ||
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await ml.testExecution.logTestStep('job creation inputs the job id'); | ||
await ml.jobWizardCommon.assertJobIdInputExists(); | ||
await ml.jobWizardCommon.setJobId(jobId); | ||
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await ml.testExecution.logTestStep('job creation displays the validation step'); | ||
await ml.jobWizardCommon.advanceToValidationSection(); | ||
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await ml.testExecution.logTestStep('job creation displays the summary step'); | ||
await ml.jobWizardCommon.advanceToSummarySection(); | ||
}); | ||
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it('job creation runs the job and displays it correctly in the job list', async () => { | ||
await ml.testExecution.logTestStep('job creation creates the job and finishes processing'); | ||
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await ml.jobWizardCommon.assertStartDatafeedSwitchExists(); | ||
await ml.jobWizardCommon.toggleStartDatafeedSwitch(false); | ||
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await ml.jobWizardCommon.assertCreateJobButtonExists(); | ||
await ml.jobWizardCommon.createJobWithoutDatafeedStart(); | ||
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await ml.jobTable.waitForJobsToLoad(); | ||
await ml.jobTable.filterWithSearchString(jobId, 1); | ||
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await ml.testExecution.logTestStep( | ||
'job creation displays details for the created job in the job list' | ||
); | ||
await ml.jobTable.assertJobRowFields(jobId, getExpectedRow(jobId)); | ||
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await ml.jobTable.assertJobRowDetailsCounts( | ||
jobId, | ||
getExpectedCounts(jobId), | ||
getExpectedModelSizeStats(jobId) | ||
); | ||
}); | ||
}); | ||
} |
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