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...t/api_integration/deployment_agnostic/apis/observability/apm/alerts/anomaly_alert.spec.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 | ||
| * 2.0; you may not use this file except in compliance with the Elastic License | ||
| * 2.0. | ||
| */ | ||
|
|
||
| import moment from 'moment'; | ||
| import { AnomalyDetectorType } from '@kbn/apm-plugin/common/anomaly_detection/apm_ml_detectors'; | ||
| import { ApmRuleType } from '@kbn/rule-data-utils'; | ||
| import { apm, timerange } from '@kbn/apm-synthtrace-client'; | ||
| import expect from '@kbn/expect'; | ||
| import { range } from 'lodash'; | ||
| import { ML_ANOMALY_SEVERITY } from '@kbn/ml-anomaly-utils/anomaly_severity'; | ||
| import { ApmSynthtraceEsClient } from '@kbn/apm-synthtrace'; | ||
| import type { SupertestWithRoleScopeType } from '../../../../services'; | ||
| import { createAndRunApmMlJobs } from '../../../../../../apm_api_integration/common/utils/create_and_run_apm_ml_jobs'; | ||
| import type { DeploymentAgnosticFtrProviderContext } from '../../../../ftr_provider_context'; | ||
| import { createApmRule } from './helpers/alerting_api_helper'; | ||
| import { waitForActiveRule } from './helpers/wait_for_active_rule'; | ||
| import { waitForAlertsForRule } from './helpers/wait_for_alerts_for_rule'; | ||
| import { cleanupRuleAndAlertState } from './helpers/cleanup_rule_and_alert_state'; | ||
|
|
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| export default function ApiTest({ getService }: DeploymentAgnosticFtrProviderContext) { | ||
| const roleScopedSupertest = getService('roleScopedSupertest'); | ||
| const ml = getService('mlApi'); | ||
| const es = getService('es'); | ||
| const logger = getService('log'); | ||
| const synthtrace = getService('synthtrace'); | ||
|
|
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| describe('fetching service anomalies with a trial license', () => { | ||
| const start = moment().subtract(2, 'days').valueOf(); | ||
| const end = moment().valueOf(); | ||
|
|
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| const spikeStart = moment().subtract(2, 'hours').valueOf(); | ||
| const spikeEnd = moment().subtract(1, 'hours').valueOf(); | ||
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| let apmSynthtraceEsClient: ApmSynthtraceEsClient; | ||
| let supertest: SupertestWithRoleScopeType; | ||
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| before(async () => { | ||
| apmSynthtraceEsClient = await synthtrace.createApmSynthtraceEsClient(); | ||
| supertest = await roleScopedSupertest.getSupertestWithRoleScope('admin'); | ||
|
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| const serviceA = apm | ||
| .service({ name: 'foo', environment: 'production', agentName: 'java' }) | ||
| .instance('a'); | ||
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| const events = timerange(start, end) | ||
| .interval('1m') | ||
| .rate(1) | ||
| .generator((timestamp) => { | ||
| const isInSpike = timestamp >= spikeStart && timestamp < spikeEnd; | ||
| const count = isInSpike ? 4 : 1; | ||
| const duration = isInSpike ? 5000 : 100; | ||
| const outcome = isInSpike ? 'failure' : 'success'; | ||
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| return [ | ||
| ...range(0, count).flatMap((_) => | ||
| serviceA | ||
| .transaction({ transactionName: 'tx' }) | ||
| .timestamp(timestamp) | ||
| .duration(duration) | ||
| .outcome(outcome) | ||
| ), | ||
| ]; | ||
| }); | ||
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| await apmSynthtraceEsClient.index(events); | ||
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| await createAndRunApmMlJobs({ es, ml, environments: ['production'], logger }); | ||
| }); | ||
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| after(async () => { | ||
| await cleanup(); | ||
| }); | ||
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| async function cleanup() { | ||
| await apmSynthtraceEsClient.clean(); | ||
| await cleanupRuleAndAlertState({ es, supertest, logger }); | ||
| await ml.cleanMlIndices(); | ||
| await supertest.destroy(); | ||
| } | ||
|
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| describe('with ml jobs', () => { | ||
| let createdRule: Awaited<ReturnType<typeof createApmRule>>; | ||
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| before(async () => { | ||
| createdRule = await createApmRule({ | ||
| supertest, | ||
| name: 'Latency anomaly | service-a', | ||
| params: { | ||
| environment: 'production', | ||
| windowSize: 5, | ||
| windowUnit: 'h', | ||
| anomalySeverityType: ML_ANOMALY_SEVERITY.WARNING, | ||
| anomalyDetectorTypes: [AnomalyDetectorType.txLatency], | ||
| }, | ||
| ruleTypeId: ApmRuleType.Anomaly, | ||
| }); | ||
| }); | ||
| it('checks if alert is active', async () => { | ||
| const ruleStatus = await waitForActiveRule({ | ||
| ruleId: createdRule.id, | ||
| supertest, | ||
| logger, | ||
| }); | ||
| expect(ruleStatus).to.be('active'); | ||
| }); | ||
|
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| it('produces an alert with the correct reason', async () => { | ||
| const alerts = await waitForAlertsForRule({ es, ruleId: createdRule.id }); | ||
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| const score = alerts[0]['kibana.alert.evaluation.value']; | ||
| expect(alerts[0]['kibana.alert.reason']).to.be( | ||
| `warning latency anomaly with a score of ${score}, was detected in the last 5 hrs for foo.` | ||
| ); | ||
| }); | ||
| }); | ||
| }); | ||
| } |
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