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[APM] Service maps - Fix missing ML status for services with jobs but…
… no anomalies (elastic#68486) * Closes elastic#68485 by: - use the ML plugin to query for all APM jobs - inspect the ml job groups to find all jobs related to a particular service - use the mlAnomalySearch client to get ml job buckets with the max anomaly score - query for the model_plot buckets to obtain actual/median values for the ML description - return the relevant ML job with the max anomaly score for a service - indicate to the user that no anomalies were found for a service with an ml job * - Use the anomalyDetectorsProvider jobs API rather than the search endpoint directly - Defines a specific return type for the ml jobs api - Update the empty anomaly data message * Code and types cleanup * Return to using record result type on anomaly queries. These are the same values used in the anomaly explorer and it includes actual & typical values which greatly improve performance of the previous query. * - If anomaly data is missing show a gray border around node * - moved AnomalyDetection out of service map Contents into own component Co-authored-by: Elastic Machine <[email protected]>
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,21 @@ | ||
| /* | ||
| * 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. | ||
| */ | ||
| import { Assign, Omit } from 'utility-types'; | ||
|
|
||
| export function leftJoin< | ||
| TL extends object, | ||
| K extends keyof TL, | ||
| TR extends Pick<TL, K> | ||
| >(leftRecords: TL[], matchKey: K, rightRecords: TR[]) { | ||
| const rightLookup = new Map( | ||
| rightRecords.map((record) => [record[matchKey], record]) | ||
| ); | ||
| return leftRecords.map((record) => { | ||
| const matchProp = (record[matchKey] as unknown) as TR[K]; | ||
| const matchingRightRecord = rightLookup.get(matchProp); | ||
| return { ...record, ...matchingRightRecord }; | ||
| }) as Array<Assign<TL, Partial<Omit<TR, K>>>>; | ||
| } |
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@@ -17,7 +17,8 @@ | |
| "actions", | ||
| "alerts", | ||
| "observability", | ||
| "security" | ||
| "security", | ||
| "ml" | ||
| ], | ||
| "server": true, | ||
| "ui": true, | ||
|
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156 changes: 156 additions & 0 deletions
156
x-pack/plugins/apm/public/components/app/ServiceMap/Popover/anomaly_detection.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. | ||
| */ | ||
|
|
||
| import { i18n } from '@kbn/i18n'; | ||
| import React from 'react'; | ||
| import styled from 'styled-components'; | ||
| import theme from '@elastic/eui/dist/eui_theme_light.json'; | ||
| import { | ||
| EuiFlexGroup, | ||
| EuiFlexItem, | ||
| EuiTitle, | ||
| EuiIconTip, | ||
| EuiHealth, | ||
| } from '@elastic/eui'; | ||
| import { fontSize, px } from '../../../../style/variables'; | ||
| import { asInteger } from '../../../../utils/formatters'; | ||
| import { MLJobLink } from '../../../shared/Links/MachineLearningLinks/MLJobLink'; | ||
| import { getSeverityColor, popoverMinWidth } from '../cytoscapeOptions'; | ||
| import { getMetricChangeDescription } from '../../../../../../ml/public'; | ||
| import { ServiceNode } from '../../../../../common/service_map'; | ||
|
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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.euiTextSubduedColor}; | ||
| `; | ||
|
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| const EnableText = styled.section` | ||
| color: ${theme.euiTextSubduedColor}; | ||
| line-height: 1.4; | ||
| font-size: ${fontSize}; | ||
| width: ${px(popoverMinWidth)}; | ||
| `; | ||
|
|
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| export const ContentLine = styled.section` | ||
| line-height: 2; | ||
| `; | ||
|
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| interface AnomalyDetectionProps { | ||
| serviceNodeData: cytoscape.NodeDataDefinition & ServiceNode; | ||
| } | ||
|
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| export function AnomalyDetection({ serviceNodeData }: AnomalyDetectionProps) { | ||
| const anomalySeverity = serviceNodeData.anomaly_severity; | ||
| const anomalyScore = serviceNodeData.anomaly_score; | ||
| const actualValue = serviceNodeData.actual_value; | ||
| const typicalValue = serviceNodeData.typical_value; | ||
| const mlJobId = serviceNodeData.ml_job_id; | ||
| const hasAnomalyDetectionScore = | ||
| anomalySeverity !== undefined && anomalyScore !== undefined; | ||
| const anomalyDescription = | ||
| hasAnomalyDetectionScore && | ||
| actualValue !== undefined && | ||
| typicalValue !== undefined | ||
| ? getMetricChangeDescription(actualValue, typicalValue).message | ||
| : null; | ||
|
|
||
| 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(anomalySeverity)} /> | ||
| <SubduedText>{ANOMALY_DETECTION_SCORE_METRIC}</SubduedText> | ||
| </VerticallyCentered> | ||
| </EuiFlexItem> | ||
| <EuiFlexItem grow={false}> | ||
| <div> | ||
| {getDisplayedAnomalyScore(anomalyScore as number)} | ||
| {anomalyDescription && ( | ||
| <SubduedText> ({anomalyDescription})</SubduedText> | ||
| )} | ||
| </div> | ||
| </EuiFlexItem> | ||
| </EuiFlexGroup> | ||
| </ContentLine> | ||
| )} | ||
| {mlJobId && !hasAnomalyDetectionScore && ( | ||
| <EnableText>{ANOMALY_DETECTION_NO_DATA_TEXT}</EnableText> | ||
| )} | ||
| {mlJobId && ( | ||
| <ContentLine> | ||
| <MLJobLink external jobId={mlJobId}> | ||
| {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 from the Integrations menu in the Service details view.', | ||
| } | ||
| ); | ||
|
|
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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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