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[APM] Service maps anomaly detection integration by environment (elas…
…tic#70932) (elastic#71391) * Closes elastic#69480 & elastic#70419. - Adds anomaly detection integration to service maps backed by apm ML jobs per environment - Loads transaction stats and anomalies for each transaction types - Renders a selector in the popop to choose a transaction type to view stats * - implements original anomaly detection integration design for service maps popover - only aggregates transaction KPIs and anomaly scores for transaction.type = "request" or "page-load" - supports environment filter 'All' option to display data from all APM anomaly detection jobs - handle case where popover metrics don't exist for services outside the current environment filter * fixes some CI errors * Simplified messaging for service popop with not data in the current environment * PR feedback, renamed max anomalies -> service anomalies including the file name * - defines custom_settings.job_tags.apm_ml_version in ML job creation, then filters for it when returing valid APM ML jobs * changes shape of of service anomalies from an array to a object keyed by serviceName * removes the url encoding from ML job link href to how it was previously. * PR feedback * Popover no data state simplified: - renders the "no data" message as plain text instead of in a callout - hides the 'Anomaly detection' section if there is not anomaly data. * Fixes filtering bug when user selects 'Environment: Not defined'. Now filters properly by filtering for docs where service.environment does not exist * filters jobs fetched in the settings page by `job.custom_settings.job_tags.apm_ml_version` * Fixed bad import from last upstream merge Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com> Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
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| Original file line number | Diff line number | Diff line change |
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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 interface ServiceAnomalyStats { | ||
| transactionType?: string; | ||
| anomalyScore?: number; | ||
| actualValue?: number; | ||
| jobId?: string; | ||
| } |
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158
x-pack/plugins/apm/public/components/app/ServiceMap/Popover/AnomalyDetection.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 { i18n } from '@kbn/i18n'; | ||
| import React from 'react'; | ||
| import styled from 'styled-components'; | ||
| import { | ||
| EuiFlexGroup, | ||
| EuiFlexItem, | ||
| EuiTitle, | ||
| EuiIconTip, | ||
| EuiHealth, | ||
| } from '@elastic/eui'; | ||
| import { useTheme } from '../../../../hooks/useTheme'; | ||
| import { fontSize, px } from '../../../../style/variables'; | ||
| import { asInteger, asDuration } from '../../../../utils/formatters'; | ||
| import { MLJobLink } from '../../../shared/Links/MachineLearningLinks/MLJobLink'; | ||
| import { getSeverityColor, popoverWidth } from '../cytoscapeOptions'; | ||
| import { getSeverity } from '../../../../../common/ml_job_constants'; | ||
| import { TRANSACTION_REQUEST } from '../../../../../common/transaction_types'; | ||
| import { ServiceAnomalyStats } from '../../../../../common/anomaly_detection'; | ||
|
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| const HealthStatusTitle = styled(EuiTitle)` | ||
| display: inline; | ||
| text-transform: uppercase; | ||
| `; | ||
|
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| const VerticallyCentered = styled.div` | ||
| display: flex; | ||
| align-items: center; | ||
| `; | ||
|
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| const SubduedText = styled.span` | ||
| color: ${({ theme }) => theme.eui.euiTextSubduedColor}; | ||
| `; | ||
|
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| const EnableText = styled.section` | ||
| color: ${({ theme }) => theme.eui.euiTextSubduedColor}; | ||
| line-height: 1.4; | ||
| font-size: ${fontSize}; | ||
| width: ${px(popoverWidth)}; | ||
| `; | ||
|
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| export const ContentLine = styled.section` | ||
| line-height: 2; | ||
| `; | ||
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| interface Props { | ||
| serviceName: string; | ||
| serviceAnomalyStats: ServiceAnomalyStats | undefined; | ||
| } | ||
| export function AnomalyDetection({ serviceName, serviceAnomalyStats }: Props) { | ||
| const theme = useTheme(); | ||
|
|
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| const anomalyScore = serviceAnomalyStats?.anomalyScore; | ||
| const anomalySeverity = getSeverity(anomalyScore); | ||
| const actualValue = serviceAnomalyStats?.actualValue; | ||
| const mlJobId = serviceAnomalyStats?.jobId; | ||
| const transactionType = | ||
| serviceAnomalyStats?.transactionType ?? TRANSACTION_REQUEST; | ||
| const hasAnomalyDetectionScore = anomalyScore !== undefined; | ||
|
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| return ( | ||
| <> | ||
| <section> | ||
| <HealthStatusTitle size="xxs"> | ||
| <h3>{ANOMALY_DETECTION_TITLE}</h3> | ||
| </HealthStatusTitle> | ||
| | ||
| <EuiIconTip type="iInCircle" content={ANOMALY_DETECTION_TOOLTIP} /> | ||
| {!mlJobId && <EnableText>{ANOMALY_DETECTION_DISABLED_TEXT}</EnableText>} | ||
| </section> | ||
| {hasAnomalyDetectionScore && ( | ||
| <ContentLine> | ||
| <EuiFlexGroup> | ||
| <EuiFlexItem> | ||
| <VerticallyCentered> | ||
| <EuiHealth color={getSeverityColor(theme, anomalySeverity)} /> | ||
| <SubduedText>{ANOMALY_DETECTION_SCORE_METRIC}</SubduedText> | ||
| </VerticallyCentered> | ||
| </EuiFlexItem> | ||
| <EuiFlexItem grow={false}> | ||
| <div> | ||
| {getDisplayedAnomalyScore(anomalyScore as number)} | ||
| {actualValue && ( | ||
| <SubduedText> ({asDuration(actualValue)})</SubduedText> | ||
| )} | ||
| </div> | ||
| </EuiFlexItem> | ||
| </EuiFlexGroup> | ||
| </ContentLine> | ||
| )} | ||
| {mlJobId && !hasAnomalyDetectionScore && ( | ||
| <EnableText>{ANOMALY_DETECTION_NO_DATA_TEXT}</EnableText> | ||
| )} | ||
| {mlJobId && ( | ||
| <ContentLine> | ||
| <MLJobLink | ||
| external | ||
| jobId={mlJobId} | ||
| serviceName={serviceName} | ||
| transactionType={transactionType} | ||
| > | ||
| {ANOMALY_DETECTION_LINK} | ||
| </MLJobLink> | ||
| </ContentLine> | ||
| )} | ||
| </> | ||
| ); | ||
| } | ||
|
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| function getDisplayedAnomalyScore(score: number) { | ||
| if (score > 0 && score < 1) { | ||
| return '< 1'; | ||
| } | ||
| return asInteger(score); | ||
| } | ||
|
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| const ANOMALY_DETECTION_TITLE = i18n.translate( | ||
| 'xpack.apm.serviceMap.anomalyDetectionPopoverTitle', | ||
| { defaultMessage: 'Anomaly Detection' } | ||
| ); | ||
|
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| const ANOMALY_DETECTION_TOOLTIP = i18n.translate( | ||
| 'xpack.apm.serviceMap.anomalyDetectionPopoverTooltip', | ||
| { | ||
| defaultMessage: | ||
| 'Service health indicators are powered by the anomaly detection feature in machine learning', | ||
| } | ||
| ); | ||
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| const ANOMALY_DETECTION_SCORE_METRIC = i18n.translate( | ||
| 'xpack.apm.serviceMap.anomalyDetectionPopoverScoreMetric', | ||
| { defaultMessage: 'Score (max.)' } | ||
| ); | ||
|
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| const ANOMALY_DETECTION_LINK = i18n.translate( | ||
| 'xpack.apm.serviceMap.anomalyDetectionPopoverLink', | ||
| { defaultMessage: 'View anomalies' } | ||
| ); | ||
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| const ANOMALY_DETECTION_DISABLED_TEXT = i18n.translate( | ||
| 'xpack.apm.serviceMap.anomalyDetectionPopoverDisabled', | ||
| { | ||
| defaultMessage: | ||
| 'Display service health indicators by enabling anomaly detection in APM settings.', | ||
| } | ||
| ); | ||
|
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| const ANOMALY_DETECTION_NO_DATA_TEXT = i18n.translate( | ||
| 'xpack.apm.serviceMap.anomalyDetectionPopoverNoData', | ||
| { | ||
| defaultMessage: `We couldn't find an anomaly score within the selected time range. See details in the anomaly explorer.`, | ||
| } | ||
| ); |
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