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[Metrics UI] Anomaly Detection setup flow for Metrics (elastic#76787)
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* adds metrics ml integration

* Add ability to create ml jobs from inventory

* Fix i18n stuff

* Fix typecheck

* renames jobs, updates datafeeds

* adds allow_no_indices: true for datafeeds

* Revert "[Metrics UI] Replace Snapshot API with Metrics API (elastic#76253)"

This reverts commit 0ca6472.

* Add ability to fetch anomalies

* Fix typecheck

* Fix typecheck

* Fix i18n

* Fix lint, use the right partition field

* Delete log files

* Fix merge

* Fix merge issues

* Update name of jobs

* Remove CPU job

* [Metrics UI] Replace Snapshot API with Metrics API (elastic#76253)

- Remove server/lib/snapshot
- Replace backend for /api/infra/snapshot with data from Metrics API
- Fixing tests with updates to the snapshot node

Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>

* Add links back to ML for anomalies and manage jobs

* Fix typecheck

* Remove unecessary validation

Co-authored-by: Michael Hirsch <michaelahirsch@gmail.com>
Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
Co-authored-by: Chris Cowan <chris@chriscowan.us>
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4 people committed Sep 24, 2020
1 parent 2def830 commit 969cfed
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7 changes: 7 additions & 0 deletions x-pack/plugins/infra/common/http_api/infra_ml/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.
*/

export * from './results';
59 changes: 59 additions & 0 deletions x-pack/plugins/infra/common/http_api/infra_ml/results/common.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.
*/

import * as rt from 'io-ts';

// [Sort field value, tiebreaker value]
export const paginationCursorRT = rt.tuple([
rt.union([rt.string, rt.number]),
rt.union([rt.string, rt.number]),
]);

export type PaginationCursor = rt.TypeOf<typeof paginationCursorRT>;

export const anomalyTypeRT = rt.keyof({
metrics_hosts: null,
metrics_k8s: null,
});

export type AnomalyType = rt.TypeOf<typeof anomalyTypeRT>;

const sortOptionsRT = rt.keyof({
anomalyScore: null,
dataset: null,
startTime: null,
});

const sortDirectionsRT = rt.keyof({
asc: null,
desc: null,
});

const paginationPreviousPageCursorRT = rt.type({
searchBefore: paginationCursorRT,
});

const paginationNextPageCursorRT = rt.type({
searchAfter: paginationCursorRT,
});

export const paginationRT = rt.intersection([
rt.type({
pageSize: rt.number,
}),
rt.partial({
cursor: rt.union([paginationPreviousPageCursorRT, paginationNextPageCursorRT]),
}),
]);

export type Pagination = rt.TypeOf<typeof paginationRT>;

export const sortRT = rt.type({
field: sortOptionsRT,
direction: sortDirectionsRT,
});

export type Sort = rt.TypeOf<typeof sortRT>;
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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.
*/

export * from './metrics_hosts_anomalies';
export * from './metrics_k8s_anomalies';
export * from './common';
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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 * as rt from 'io-ts';

import { timeRangeRT, routeTimingMetadataRT } from '../../shared';
import { anomalyTypeRT, paginationCursorRT, sortRT, paginationRT } from './common';

export const INFA_ML_GET_METRICS_HOSTS_ANOMALIES_PATH =
'/api/infra/infra_ml/results/metrics_hosts_anomalies';

const metricsHostAnomalyCommonFieldsRT = rt.type({
id: rt.string,
anomalyScore: rt.number,
typical: rt.number,
actual: rt.number,
type: anomalyTypeRT,
duration: rt.number,
startTime: rt.number,
jobId: rt.string,
});
const metricsHostsAnomalyRT = metricsHostAnomalyCommonFieldsRT;

export type MetricsHostsAnomaly = rt.TypeOf<typeof metricsHostsAnomalyRT>;

export const getMetricsHostsAnomaliesSuccessReponsePayloadRT = rt.intersection([
rt.type({
data: rt.intersection([
rt.type({
anomalies: rt.array(metricsHostsAnomalyRT),
// Signifies there are more entries backwards or forwards. If this was a request
// for a previous page, there are more previous pages, if this was a request for a next page,
// there are more next pages.
hasMoreEntries: rt.boolean,
}),
rt.partial({
paginationCursors: rt.type({
// The cursor to use to fetch the previous page
previousPageCursor: paginationCursorRT,
// The cursor to use to fetch the next page
nextPageCursor: paginationCursorRT,
}),
}),
]),
}),
rt.partial({
timing: routeTimingMetadataRT,
}),
]);

export type GetMetricsHostsAnomaliesSuccessResponsePayload = rt.TypeOf<
typeof getMetricsHostsAnomaliesSuccessReponsePayloadRT
>;

export const getMetricsHostsAnomaliesRequestPayloadRT = rt.type({
data: rt.intersection([
rt.type({
// the ID of the source configuration
sourceId: rt.string,
// the time range to fetch the log entry anomalies from
timeRange: timeRangeRT,
}),
rt.partial({
// Pagination properties
pagination: paginationRT,
// Sort properties
sort: sortRT,
// // Dataset filters
// datasets: rt.array(rt.string),
}),
]),
});

export type GetMetricsHostsAnomaliesRequestPayload = rt.TypeOf<
typeof getMetricsHostsAnomaliesRequestPayloadRT
>;
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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 * as rt from 'io-ts';

import { timeRangeRT, routeTimingMetadataRT } from '../../shared';
import { paginationCursorRT, anomalyTypeRT, sortRT, paginationRT } from './common';

export const INFA_ML_GET_METRICS_K8S_ANOMALIES_PATH =
'/api/infra/infra_ml/results/metrics_k8s_anomalies';

const metricsK8sAnomalyCommonFieldsRT = rt.type({
id: rt.string,
anomalyScore: rt.number,
typical: rt.number,
actual: rt.number,
type: anomalyTypeRT,
duration: rt.number,
startTime: rt.number,
jobId: rt.string,
});
const metricsK8sAnomalyRT = metricsK8sAnomalyCommonFieldsRT;

export type MetricsK8sAnomaly = rt.TypeOf<typeof metricsK8sAnomalyRT>;

export const getMetricsK8sAnomaliesSuccessReponsePayloadRT = rt.intersection([
rt.type({
data: rt.intersection([
rt.type({
anomalies: rt.array(metricsK8sAnomalyRT),
// Signifies there are more entries backwards or forwards. If this was a request
// for a previous page, there are more previous pages, if this was a request for a next page,
// there are more next pages.
hasMoreEntries: rt.boolean,
}),
rt.partial({
paginationCursors: rt.type({
// The cursor to use to fetch the previous page
previousPageCursor: paginationCursorRT,
// The cursor to use to fetch the next page
nextPageCursor: paginationCursorRT,
}),
}),
]),
}),
rt.partial({
timing: routeTimingMetadataRT,
}),
]);

export type GetMetricsK8sAnomaliesSuccessResponsePayload = rt.TypeOf<
typeof getMetricsK8sAnomaliesSuccessReponsePayloadRT
>;

export const getMetricsK8sAnomaliesRequestPayloadRT = rt.type({
data: rt.intersection([
rt.type({
// the ID of the source configuration
sourceId: rt.string,
// the time range to fetch the log entry anomalies from
timeRange: timeRangeRT,
}),
rt.partial({
// Pagination properties
pagination: paginationRT,
// Sort properties
sort: sortRT,
// Dataset filters
datasets: rt.array(rt.string),
}),
]),
});

export type GetMetricsK8sAnomaliesRequestPayload = rt.TypeOf<
typeof getMetricsK8sAnomaliesRequestPayloadRT
>;
57 changes: 57 additions & 0 deletions x-pack/plugins/infra/common/infra_ml/anomaly_results.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.
*/

export const ML_SEVERITY_SCORES = {
warning: 3,
minor: 25,
major: 50,
critical: 75,
};

export type MLSeverityScoreCategories = keyof typeof ML_SEVERITY_SCORES;

export const ML_SEVERITY_COLORS = {
critical: 'rgb(228, 72, 72)',
major: 'rgb(229, 113, 0)',
minor: 'rgb(255, 221, 0)',
warning: 'rgb(125, 180, 226)',
};

export const getSeverityCategoryForScore = (
score: number
): MLSeverityScoreCategories | undefined => {
if (score >= ML_SEVERITY_SCORES.critical) {
return 'critical';
} else if (score >= ML_SEVERITY_SCORES.major) {
return 'major';
} else if (score >= ML_SEVERITY_SCORES.minor) {
return 'minor';
} else if (score >= ML_SEVERITY_SCORES.warning) {
return 'warning';
} else {
// Category is too low to include
return undefined;
}
};

export const formatAnomalyScore = (score: number) => {
return Math.round(score);
};

export const formatOneDecimalPlace = (number: number) => {
return Math.round(number * 10) / 10;
};

export const getFriendlyNameForPartitionId = (partitionId: string) => {
return partitionId !== '' ? partitionId : 'unknown';
};

export const compareDatasetsByMaximumAnomalyScore = <
Dataset extends { maximumAnomalyScore: number }
>(
firstDataset: Dataset,
secondDataset: Dataset
) => firstDataset.maximumAnomalyScore - secondDataset.maximumAnomalyScore;
11 changes: 11 additions & 0 deletions x-pack/plugins/infra/common/infra_ml/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.
*/

export * from './infra_ml';
export * from './anomaly_results';
export * from './job_parameters';
export * from './metrics_hosts_ml';
export * from './metrics_k8s_ml';
52 changes: 52 additions & 0 deletions x-pack/plugins/infra/common/infra_ml/infra_ml.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.
*/

// combines and abstracts job and datafeed status
export type JobStatus =
| 'unknown'
| 'missing'
| 'initializing'
| 'stopped'
| 'started'
| 'finished'
| 'failed';

export type SetupStatus =
| { type: 'initializing' } // acquiring job statuses to determine setup status
| { type: 'unknown' } // job status could not be acquired (failed request etc)
| { type: 'required' } // setup required
| { type: 'pending' } // In the process of setting up the module for the first time or retrying, waiting for response
| { type: 'succeeded' } // setup succeeded, notifying user
| {
type: 'failed';
reasons: string[];
} // setup failed, notifying user
| {
type: 'skipped';
newlyCreated?: boolean;
}; // setup is not necessary

/**
* Maps a job status to the possibility that results have already been produced
* before this state was reached.
*/
export const isJobStatusWithResults = (jobStatus: JobStatus) =>
['started', 'finished', 'stopped', 'failed'].includes(jobStatus);

export const isHealthyJobStatus = (jobStatus: JobStatus) =>
['started', 'finished'].includes(jobStatus);

/**
* Maps a setup status to the possibility that results have already been
* produced before this state was reached.
*/
export const isSetupStatusWithResults = (setupStatus: SetupStatus) =>
setupStatus.type === 'skipped';

const KIBANA_SAMPLE_DATA_INDICES = ['kibana_sample_data_logs*'];

export const isExampleDataIndex = (indexName: string) =>
KIBANA_SAMPLE_DATA_INDICES.includes(indexName);
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