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[ML] Fix query bar autocompletion for ML and AIOps embeddables (elast…
…ic#164485) (cherry picked from commit 5d5ac37)
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84 changes: 84 additions & 0 deletions
84
x-pack/plugins/ml/public/embeddables/common/anomaly_detection_embeddable.ts
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,84 @@ | ||
| /* | ||
| * 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 { | ||
| Embeddable, | ||
| type EmbeddableInput, | ||
| type EmbeddableOutput, | ||
| type IContainer, | ||
| } from '@kbn/embeddable-plugin/public'; | ||
| import { type DataView } from '@kbn/data-views-plugin/common'; | ||
| import { type DataViewsContract } from '@kbn/data-views-plugin/public'; | ||
| import { firstValueFrom } from 'rxjs'; | ||
| import { type AnomalyDetectorService } from '../../application/services/anomaly_detector_service'; | ||
|
|
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| export type CommonInput = { jobIds: string[] } & EmbeddableInput; | ||
|
|
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| export type CommonOutput = { indexPatterns?: DataView[] } & EmbeddableOutput; | ||
|
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| export abstract class AnomalyDetectionEmbeddable< | ||
| Input extends CommonInput, | ||
| Output extends CommonOutput | ||
| > extends Embeddable<Input, Output> { | ||
| // Need to defer embeddable load in order to resolve data views | ||
| deferEmbeddableLoad = true; | ||
|
|
||
| protected constructor( | ||
| initialInput: Input, | ||
| private anomalyDetectorService: AnomalyDetectorService, | ||
| private dataViewsService: DataViewsContract, | ||
| parent?: IContainer | ||
| ) { | ||
| super( | ||
| initialInput, | ||
| { | ||
| defaultTitle: initialInput.title, | ||
| defaultDescription: initialInput.description, | ||
| } as Output, | ||
| parent | ||
| ); | ||
|
|
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| this.initializeOutput(initialInput).finally(() => { | ||
| this.setInitializationFinished(); | ||
| }); | ||
| } | ||
|
|
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| protected async initializeOutput(initialInput: CommonInput) { | ||
| const { jobIds } = initialInput; | ||
|
|
||
| try { | ||
| const jobs = await firstValueFrom(this.anomalyDetectorService.getJobs$(jobIds)); | ||
|
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| // First get list of unique indices from the selected jobs | ||
| const indices = new Set(jobs.map((j) => j.datafeed_config!.indices).flat()); | ||
| // Then find the data view assuming the data view title matches the index name | ||
| const indexPatterns: Record<string, DataView> = {}; | ||
| for (const indexName of indices) { | ||
| const response = await this.dataViewsService.find(`"${indexName}"`); | ||
| const indexPattern = response.find((obj) => | ||
| obj.getIndexPattern().toLowerCase().includes(indexName.toLowerCase()) | ||
| ); | ||
|
|
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| if (indexPattern !== undefined) { | ||
| indexPatterns[indexPattern.id!] = indexPattern; | ||
| } | ||
| } | ||
|
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| this.updateOutput({ | ||
| ...this.getOutput(), | ||
| indexPatterns: Object.values(indexPatterns), | ||
| }); | ||
| } catch (e) { | ||
| // Unable to find and load data view but we can ignore the error | ||
| // as we only load it to support the filter & query bar | ||
| // the visualizations should still work correctly | ||
|
|
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| // eslint-disable-next-line no-console | ||
| console.error(`Unable to load data views for ${jobIds}`, e); | ||
| } | ||
| } | ||
| } |
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