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683 lines
22 KiB
683 lines
22 KiB
import { AnalyticsMessageMethod, AnalyticsMessage } from '../models/analytics_message_model'; |
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import { AnalyticsTask, AnalyticsTaskType, AnalyticsTaskId } from '../models/analytics_task_model'; |
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import * as AnalyticUnitCache from '../models/analytic_unit_cache_model'; |
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import * as Segment from '../models/segment_model'; |
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import * as AnalyticUnit from '../models/analytic_units'; |
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import * as Detection from '../models/detection_model'; |
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import { ThresholdAnalyticUnit } from '../models/analytic_units/threshold_analytic_unit_model'; |
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import { AnalyticsService } from '../services/analytics_service'; |
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import { AlertService } from '../services/alert_service'; |
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import { HASTIC_API_KEY } from '../config'; |
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import { DataPuller } from '../services/data_puller'; |
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import { getGrafanaUrl } from '../utils/grafana'; |
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import { getNonIntersectedSpans } from '../utils/spans'; |
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|
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import { queryByMetric, GrafanaUnavailable, DatasourceUnavailable } from 'grafana-datasource-kit'; |
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import * as _ from 'lodash'; |
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import { WebhookType } from '../services/notification_service'; |
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import { AnomalyAnalyticUnit } from '../models/analytic_units/anomaly_analytic_unit_model'; |
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const SECONDS_IN_MINUTE = 60; |
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type TaskResult = any; |
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type DetectionResult = any; |
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// TODO: move TableTimeSeries to grafana-datasource-kit |
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// TODO: TableTimeSeries is bad name |
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type TableTimeSeries = { values: [number, number][], columns: string[] }; |
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// TODO: move type definitions somewhere |
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type TimeRange = { from: number, to: number }; |
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export type TaskResolver = (taskResult: TaskResult) => void; |
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|
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const taskResolvers = new Map<AnalyticsTaskId, TaskResolver>(); |
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let analyticsService: AnalyticsService = undefined; |
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let alertService: AlertService = undefined; |
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let dataPuller: DataPuller; |
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let detectionsCount: number = 0; |
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function onTaskResult(taskResult: TaskResult) { |
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let id = taskResult._id; |
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if(id === undefined) { |
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throw new Error('id of task is undefined'); |
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} |
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let status = taskResult.status; |
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if(status === 'SUCCESS' || status === 'FAILED') { |
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if(taskResolvers.has(id)) { |
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let resolver: any = taskResolvers.get(id); |
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resolver(taskResult); |
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taskResolvers.delete(id); |
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} else { |
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throw new Error(`TaskResult [${id}] has no resolver`); |
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} |
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} |
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} |
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async function onDetect(detectionResult: DetectionResult) { |
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detectionsCount++; |
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let id = detectionResult.analyticUnitId; |
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let payload = await processDetectionResult(id, detectionResult); |
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await Promise.all([ |
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Segment.insertSegments(payload.segments), |
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AnalyticUnitCache.setData(id, payload.cache), |
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AnalyticUnit.setDetectionTime(id, payload.lastDetectionTime), |
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]); |
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} |
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async function onPushDetect(detectionResult: DetectionResult) { |
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const analyticUnit = await AnalyticUnit.findById(detectionResult.analyticUnitId); |
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if (!_.isEmpty(detectionResult.segments) && analyticUnit.alert) { |
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try { |
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alertService.receiveAlert(analyticUnit, _.last(detectionResult.segments)); |
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} catch(err) { |
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console.error(`error while sending webhook: ${err.message}`); |
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} |
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} |
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await onDetect(detectionResult); |
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} |
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async function onMessage(message: AnalyticsMessage) { |
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let responsePayload = null; |
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let methodResolved = false; |
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if(message.method === AnalyticsMessageMethod.TASK_RESULT) { |
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onTaskResult(message.payload); |
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methodResolved = true; |
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} |
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if(message.method === AnalyticsMessageMethod.DETECT) { |
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await onDetect(message.payload.payload); |
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methodResolved = true; |
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} |
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if(message.method === AnalyticsMessageMethod.PUSH_DETECT) { |
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await onPushDetect(message.payload.payload); |
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methodResolved = true; |
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} |
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if(!methodResolved) { |
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throw new TypeError('Unknown method ' + message.method); |
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} |
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// TODO: catch exception and send error in this case |
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if(message.requestId !== undefined) { |
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message.payload = responsePayload; |
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analyticsService.sendMessage(message); |
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} |
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} |
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export function init() { |
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analyticsService = new AnalyticsService(onMessage); |
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alertService = new AlertService(); |
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alertService.startAlerting(); |
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dataPuller = new DataPuller(analyticsService, alertService); |
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dataPuller.runPuller(); |
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} |
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export function terminate() { |
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analyticsService.close(); |
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alertService.stopAlerting(); |
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} |
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export async function runTask(task: AnalyticsTask): Promise<TaskResult> { |
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return new Promise<TaskResult>((resolver: TaskResolver) => { |
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taskResolvers.set(task.id, resolver); // it will be resolved in onTaskResult() |
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analyticsService.sendTask(task); // we dont wait for result here |
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}); |
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} |
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async function getQueryRange( |
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analyticUnitId: AnalyticUnit.AnalyticUnitId, |
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detectorType: AnalyticUnit.DetectorType |
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): Promise<TimeRange> { |
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let segments: Segment.Segment[]; |
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switch(detectorType) { |
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case AnalyticUnit.DetectorType.PATTERN: |
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segments = await Segment.findMany(analyticUnitId, { $or: { labeled: true, deleted: true } }); |
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if(segments.length === 0) { |
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throw new Error('Need at least 1 labeled segment'); |
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} |
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return getQueryRangeForLearningBySegments(segments); |
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case AnalyticUnit.DetectorType.THRESHOLD: |
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const now = Date.now(); |
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return { |
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from: now - 5 * SECONDS_IN_MINUTE * 1000, |
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to: now |
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}; |
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case AnalyticUnit.DetectorType.ANOMALY: |
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segments = await Segment.findMany(analyticUnitId, { $or: { labeled: true, deleted: true } }); |
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if(segments.length === 0) { |
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const now = Date.now(); |
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return { |
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from: now - 5 * SECONDS_IN_MINUTE * 1000, |
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to: now |
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}; |
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} |
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else { |
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return getQueryRangeForLearningBySegments(segments); |
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} |
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default: |
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throw new Error(`Cannot get query range for detector type ${detectorType}`); |
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} |
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} |
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async function query( |
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analyticUnit: AnalyticUnit.AnalyticUnit, |
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range: TimeRange |
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) { |
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console.log(`query time range: from ${new Date(range.from)} to ${new Date(range.to)}`); |
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const grafanaUrl = getGrafanaUrl(analyticUnit.grafanaUrl); |
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let data; |
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try { |
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const queryResult = await queryByMetric( |
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analyticUnit.metric, |
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grafanaUrl, |
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range.from, |
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range.to, |
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HASTIC_API_KEY |
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); |
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data = queryResult.values; |
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alertService.sendGrafanaAvailableWebhook(); |
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alertService.sendDatasourceAvailableWebhook(analyticUnit.metric.datasource.url); |
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} catch(e) { |
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if(e instanceof GrafanaUnavailable) { |
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const msg = `Can't connect Grafana: ${e.message}, check GRAFANA_URL`; |
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alertService.sendGrafanaUnavailableWebhook(); |
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throw new Error(msg); |
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} |
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if(e instanceof DatasourceUnavailable) { |
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alertService.sendDatasourceUnavailableWebhook(analyticUnit.metric.datasource.url); |
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throw new Error(e.message); |
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} |
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throw e; |
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} |
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if(data.length === 0) { |
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throw new Error('Empty data to detect on'); |
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} |
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return data; |
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} |
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/** |
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* Finds range for selecting subset for learning |
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* @param segments labeled segments |
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*/ |
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function getQueryRangeForLearningBySegments(segments: Segment.Segment[]) { |
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if(segments.length === 0) { |
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throw new Error('Need at least 1 labeled segment'); |
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} |
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let from = _.minBy(segments, s => s.from).from; |
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let to = _.maxBy(segments, s => s.to).to; |
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let now = Date.now(); |
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let leftOffset = now - to; |
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from -= Math.round(leftOffset); |
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to = now; |
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return { from, to }; |
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} |
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export async function runLearning(id: AnalyticUnit.AnalyticUnitId, from?: number, to?: number) { |
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console.log(`LEARNING started for ${id}`); |
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try { |
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let analyticUnit = await AnalyticUnit.findById(id); |
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if(analyticUnit.status === AnalyticUnit.AnalyticUnitStatus.LEARNING) { |
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console.log(`cancel already started learning for ${id}, run new learning`); |
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await cancelAnalyticsTask(id); |
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} |
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const oldSegments = await Segment.findMany(id, { labeled: false, deleted: false }); |
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// TODO: segments and spans are coupled. So their removing should be a transaction |
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await Segment.removeSegments(oldSegments.map(segment => segment.id)); |
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await Detection.clearSpans(id); |
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let oldCache = await AnalyticUnitCache.findById(id); |
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if(oldCache !== null) { |
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oldCache = oldCache.data; |
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} else { |
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await AnalyticUnitCache.create(id); |
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} |
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// TODO: create an analytics serialization method in AnalyticUnit |
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let analyticUnitType = analyticUnit.type; |
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const detector = analyticUnit.detectorType; |
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let taskPayload: any = { detector, analyticUnitType, cache: oldCache }; |
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switch(detector) { |
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case AnalyticUnit.DetectorType.PATTERN: |
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let segments = await Segment.findMany(id, { labeled: true }); |
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if(segments.length === 0) { |
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throw new Error('Need at least 1 labeled segment'); |
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} |
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let segmentObjs = segments.map(s => s.toObject()); |
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let deletedSegments = await Segment.findMany(id, { deleted: true }); |
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let deletedSegmentsObjs = deletedSegments.map(s => s.toObject()); |
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segmentObjs = _.concat(segmentObjs, deletedSegmentsObjs); |
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taskPayload.segments = segmentObjs; |
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taskPayload.data = await getPayloadData(analyticUnit, from, to); |
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break; |
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case AnalyticUnit.DetectorType.THRESHOLD: |
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taskPayload.threshold = { |
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value: (analyticUnit as ThresholdAnalyticUnit).value, |
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condition: (analyticUnit as ThresholdAnalyticUnit).condition |
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}; |
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taskPayload.data = await getPayloadData(analyticUnit, from, to); |
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break; |
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case AnalyticUnit.DetectorType.ANOMALY: |
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taskPayload.anomaly = { |
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alpha: (analyticUnit as AnomalyAnalyticUnit).alpha, |
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confidence: (analyticUnit as AnomalyAnalyticUnit).confidence, |
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enableBounds: (analyticUnit as AnomalyAnalyticUnit).enableBounds |
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}; |
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taskPayload.data = await getPayloadData(analyticUnit, from, to); |
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const seasonality = (analyticUnit as AnomalyAnalyticUnit).seasonality; |
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if(seasonality > 0) { |
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let segments = await Segment.findMany(id, { deleted: true }); |
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if(segments.length === 0) { |
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console.log('Need at least 1 labeled segment, ignore seasonality'); |
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break; |
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} |
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taskPayload.anomaly.seasonality = seasonality; |
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let segmentObjs = segments.map(s => s.toObject()); |
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taskPayload.anomaly.segments = segmentObjs; |
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} |
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break; |
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default: |
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throw new Error(`Unknown type of detector: ${detector}`); |
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} |
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let task = new AnalyticsTask( |
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id, AnalyticsTaskType.LEARN, taskPayload |
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); |
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AnalyticUnit.setStatus(id, AnalyticUnit.AnalyticUnitStatus.LEARNING); |
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console.log(`run ${task.type} task, id:${id}`); |
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let result = await runTask(task); |
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if(result.status !== AnalyticUnit.AnalyticUnitStatus.SUCCESS) { |
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throw new Error(result.error); |
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} |
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// TODO: rename SUCCESS to something better |
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await AnalyticUnit.setStatus(id, AnalyticUnit.AnalyticUnitStatus.SUCCESS); |
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await AnalyticUnitCache.setData(id, result.payload.cache); |
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} catch (err) { |
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const message = err.message || JSON.stringify(err); |
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await AnalyticUnit.setStatus(id, AnalyticUnit.AnalyticUnitStatus.FAILED, message); |
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throw new Error(message) |
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} |
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} |
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export async function runDetect(id: AnalyticUnit.AnalyticUnitId, from?: number, to?: number) { |
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let previousLastDetectionTime: number = undefined; |
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let range: TimeRange; |
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let intersection = 0; |
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let oldCache = await AnalyticUnitCache.findById(id); |
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if(oldCache !== null) { |
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intersection = oldCache.getIntersection(); |
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oldCache = oldCache.data; |
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} else { |
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await AnalyticUnitCache.create(id); |
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} |
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try { |
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let unit = await AnalyticUnit.findById(id); |
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previousLastDetectionTime = unit.lastDetectionTime; |
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let analyticUnitType = unit.type; |
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const detector = unit.detectorType; |
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if(from !== undefined && to !== undefined) { |
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range = { from, to }; |
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} else { |
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range = await getQueryRange(id, detector); |
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} |
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const data = await query(unit, range); |
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let task = new AnalyticsTask( |
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id, |
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AnalyticsTaskType.DETECT, |
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{ detector, analyticUnitType, lastDetectionTime: unit.lastDetectionTime, data, cache: oldCache } |
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); |
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console.log(`run task, id:${id}`); |
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await AnalyticUnit.setStatus(id, AnalyticUnit.AnalyticUnitStatus.DETECTION); |
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const result = await runTask(task); |
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if(result.status === AnalyticUnit.AnalyticUnitStatus.FAILED) { |
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throw new Error(result.error); |
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} |
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const payload = await processDetectionResult(id, result.payload); |
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const cache = AnalyticUnitCache.AnalyticUnitCache.fromObject({ _id: id, data: payload.cache }); |
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// TODO: uncomment it |
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// It clears segments when redetecting on another timerange |
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// await deleteNonDetectedSegments(id, payload); |
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await Promise.all([ |
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Segment.insertSegments(payload.segments), |
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AnalyticUnitCache.setData(id, payload.cache), |
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AnalyticUnit.setDetectionTime(id, range.to - intersection), |
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]); |
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await AnalyticUnit.setStatus(id, AnalyticUnit.AnalyticUnitStatus.READY); |
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await Detection.insertSpan( |
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new Detection.DetectionSpan( |
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id, |
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range.from + intersection, |
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range.to - intersection, |
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Detection.DetectionStatus.READY |
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) |
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); |
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} catch(err) { |
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// TODO: maybe we don't need to update detectionTime with previous value? |
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if(previousLastDetectionTime !== undefined) { |
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await AnalyticUnit.setDetectionTime(id, previousLastDetectionTime); |
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} |
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let message = err.message || JSON.stringify(err); |
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await AnalyticUnit.setStatus(id, AnalyticUnit.AnalyticUnitStatus.FAILED, message); |
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await Detection.insertSpan( |
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new Detection.DetectionSpan( |
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id, |
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range.from + intersection, |
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range.to - intersection, |
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Detection.DetectionStatus.FAILED |
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) |
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); |
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} |
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} |
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export async function remove(analyticUnitId: AnalyticUnit.AnalyticUnitId) { |
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// We don't await for analytics task cancellation here |
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// If we add await, the rest function will be executed only when analytics becomes up |
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cancelAnalyticsTask(analyticUnitId); |
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if(dataPuller !== undefined) { |
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dataPuller.deleteUnit(analyticUnitId); |
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} |
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await AnalyticUnit.remove(analyticUnitId); |
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} |
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async function cancelAnalyticsTask(analyticUnitId: AnalyticUnit.AnalyticUnitId) { |
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try { |
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let task = new AnalyticsTask(analyticUnitId, AnalyticsTaskType.CANCEL); |
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await runTask(task); |
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} catch(e) { |
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console.log(`Can't cancel analytics task for "${analyticUnitId}": ${e.message}`); |
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} |
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} |
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export async function deleteNonDetectedSegments(id, payload) { |
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let lastDetectedSegments = await Segment.findMany(id, { labeled: false, deleted: false }); |
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let segmentsToRemove: Segment.Segment[]; |
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segmentsToRemove = _.differenceWith(lastDetectedSegments, payload.segments, (a, b: Segment.Segment) => a.equals(b)); |
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Segment.removeSegments(segmentsToRemove.map(s => s.id)); |
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} |
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async function processDetectionResult(analyticUnitId: AnalyticUnit.AnalyticUnitId, detectionResult: DetectionResult): |
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Promise<{ |
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lastDetectionTime: number, |
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segments: Segment.Segment[], |
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cache: any |
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}> { |
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if(detectionResult.segments === undefined || !Array.isArray(detectionResult.segments)) { |
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throw new Error(`Missing segments in result or it is corrupted: ${JSON.stringify(detectionResult)}`); |
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} |
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if(detectionResult.lastDetectionTime === undefined || isNaN(+detectionResult.lastDetectionTime)) { |
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throw new Error( |
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`Missing lastDetectionTime in result or it is corrupted: ${JSON.stringify(detectionResult)}` |
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); |
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} |
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console.log(`got detection result for ${analyticUnitId} with ${detectionResult.segments.length} segments`); |
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const sortedSegments: {from, to, message?}[] = _.sortBy(detectionResult.segments, 'from'); |
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const segments = sortedSegments.map( |
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segment => new Segment.Segment(analyticUnitId, segment.from, segment.to, false, false, undefined, segment.message) |
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); |
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return { |
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lastDetectionTime: detectionResult.lastDetectionTime, |
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segments, |
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cache: detectionResult.cache |
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}; |
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} |
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export function getQueueLength() { |
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return analyticsService.queueLength; |
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} |
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|
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export function getTaskResolversLength(): number { |
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return taskResolvers.size; |
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} |
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|
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export function getDetectionsCount(): number { |
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return detectionsCount; |
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} |
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|
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export function isAnalyticReady(): boolean { |
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return analyticsService.ready; |
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} |
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|
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export function analyticsLastAlive(): Date { |
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return analyticsService.lastAlive; |
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} |
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export async function getActiveWebhooks() { |
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const analyticUnits = await AnalyticUnit.findMany({ alert: true }); |
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return analyticUnits.map(analyticUnit => analyticUnit.id); |
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} |
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export async function saveAnalyticUnitFromObject(obj: any): Promise<AnalyticUnit.AnalyticUnitId> { |
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if(obj.datasource !== undefined) { |
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obj.metric.datasource = obj.datasource; |
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} |
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const unit: AnalyticUnit.AnalyticUnit = AnalyticUnit.createAnalyticUnitFromObject(obj); |
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const id = await AnalyticUnit.create(unit); |
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return id; |
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} |
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export async function setAlert(analyticUnitId: AnalyticUnit.AnalyticUnitId, alert: boolean) { |
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AnalyticUnit.setAlert(analyticUnitId, alert); |
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if(dataPuller !== undefined) { |
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if(alert) { |
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const analyticUnit = await AnalyticUnit.findById(analyticUnitId); |
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dataPuller.addUnit(analyticUnit); |
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alertService.addAnalyticUnit(analyticUnit); |
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} else { |
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dataPuller.deleteUnit(analyticUnitId); |
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alertService.removeAnalyticUnit(analyticUnitId); |
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} |
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} |
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} |
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export async function setMetric(analyticUnitId: AnalyticUnit.AnalyticUnitId, metric: any, datasource: any) { |
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metric.datasource = datasource; |
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AnalyticUnit.setMetric(analyticUnitId, metric); |
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} |
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|
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export async function updateSegments( |
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id: AnalyticUnit.AnalyticUnitId, |
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segmentsToInsert: Segment.Segment[], |
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removedIds: Segment.SegmentId[] |
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) { |
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await Segment.removeSegments(removedIds); |
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const addedIds = await Segment.insertSegments(segmentsToInsert); |
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|
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return { addedIds }; |
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} |
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|
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export async function runLearningWithDetection( |
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id: AnalyticUnit.AnalyticUnitId, |
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from?: number, |
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to?: number |
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): Promise<void> { |
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// TODO: move setting status somehow "inside" learning |
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await AnalyticUnit.setStatus(id, AnalyticUnit.AnalyticUnitStatus.PENDING); |
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runLearning(id, from, to) |
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.then(() => runDetect(id, from, to)) |
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.catch(err => console.error(err)); |
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} |
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|
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export async function getDetectionSpans( |
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analyticUnitId: AnalyticUnit.AnalyticUnitId, |
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from: number, |
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to: number |
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): Promise<Detection.DetectionSpan[]> { |
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const readySpans = await Detection.getIntersectedSpans(analyticUnitId, from, to, Detection.DetectionStatus.READY); |
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const alreadyRunningSpans = await Detection.getIntersectedSpans(analyticUnitId, from, to, Detection.DetectionStatus.RUNNING); |
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|
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const analyticUnitCache = await AnalyticUnitCache.findById(analyticUnitId); |
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|
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if(_.isEmpty(readySpans)) { |
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const span = await runDetectionOnExtendedSpan(analyticUnitId, from, to, analyticUnitCache); |
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|
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if(span === null) { |
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return []; |
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} else { |
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return [span]; |
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} |
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} |
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|
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const spanBorders = Detection.getSpanBorders(readySpans); |
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|
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let newDetectionSpans = getNonIntersectedSpans(from, to, spanBorders); |
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if(newDetectionSpans.length === 0) { |
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return [ new Detection.DetectionSpan(analyticUnitId, from, to, Detection.DetectionStatus.READY) ]; |
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} |
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|
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let runningSpansPromises = []; |
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let newRunningSpans: Detection.DetectionSpan[] = []; |
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runningSpansPromises = newDetectionSpans.map(async span => { |
|
const insideRunning = await Detection.findMany(analyticUnitId, { |
|
status: Detection.DetectionStatus.RUNNING, |
|
timeFromLTE: span.from, |
|
timeToGTE: span.to |
|
}); |
|
|
|
if(_.isEmpty(insideRunning)) { |
|
const runningSpan = await runDetectionOnExtendedSpan(analyticUnitId, span.from, span.to, analyticUnitCache); |
|
newRunningSpans.push(runningSpan); |
|
} |
|
}); |
|
|
|
await Promise.all(runningSpansPromises); |
|
|
|
return _.concat(readySpans, alreadyRunningSpans, newRunningSpans.filter(span => span !== null)); |
|
} |
|
|
|
async function getPayloadData( |
|
analyticUnit: AnalyticUnit.AnalyticUnit, |
|
from: number, |
|
to:number |
|
) { |
|
let range: TimeRange; |
|
if(from !== undefined && to !== undefined) { |
|
range = { from, to }; |
|
} else { |
|
range = await getQueryRange(analyticUnit.id, analyticUnit.detectorType); |
|
} |
|
return await query(analyticUnit, range); |
|
} |
|
|
|
async function runDetectionOnExtendedSpan( |
|
analyticUnitId: AnalyticUnit.AnalyticUnitId, |
|
from: number, |
|
to: number, |
|
analyticUnitCache: AnalyticUnitCache.AnalyticUnitCache |
|
): Promise<Detection.DetectionSpan> { |
|
if(analyticUnitCache === null) { |
|
return null; |
|
} |
|
|
|
const intersection = analyticUnitCache.getIntersection(); |
|
|
|
const intersectedFrom = Math.max(from - intersection, 0); |
|
const intersectedTo = to + intersection; |
|
runDetect(analyticUnitId, intersectedFrom, intersectedTo); |
|
|
|
const detection = new Detection.DetectionSpan( |
|
analyticUnitId, |
|
from, |
|
to, |
|
Detection.DetectionStatus.RUNNING |
|
); |
|
await Detection.insertSpan(detection); |
|
return detection; |
|
} |
|
|
|
export async function getHSR( |
|
analyticUnit: AnalyticUnit.AnalyticUnit, |
|
from: number, |
|
to: number |
|
): Promise<{ |
|
hsr: TableTimeSeries, |
|
lowerBound?: TableTimeSeries, |
|
upperBound?: TableTimeSeries |
|
}> { |
|
try { |
|
const grafanaUrl = getGrafanaUrl(analyticUnit.grafanaUrl); |
|
const data = await queryByMetric(analyticUnit.metric, grafanaUrl, from, to, HASTIC_API_KEY); |
|
|
|
if(analyticUnit.detectorType !== AnalyticUnit.DetectorType.ANOMALY) { |
|
return { hsr: data }; |
|
} |
|
let cache = await AnalyticUnitCache.findById(analyticUnit.id); |
|
if( |
|
cache === null || |
|
cache.data.alpha !== (analyticUnit as AnalyticUnit.AnomalyAnalyticUnit).alpha || |
|
cache.data.confidence !== (analyticUnit as AnalyticUnit.AnomalyAnalyticUnit).confidence |
|
) { |
|
await runLearning(analyticUnit.id, from, to); |
|
cache = await AnalyticUnitCache.findById(analyticUnit.id); |
|
} |
|
|
|
cache = cache.data; |
|
|
|
const analyticUnitType = analyticUnit.type; |
|
const detector = analyticUnit.detectorType; |
|
const payload = { |
|
data: data.values, |
|
analyticUnitType, |
|
detector, |
|
cache |
|
}; |
|
|
|
const processingTask = new AnalyticsTask(analyticUnit.id, AnalyticsTaskType.PROCESS, payload); |
|
const result = await runTask(processingTask); |
|
if(result.status !== AnalyticUnit.AnalyticUnitStatus.SUCCESS) { |
|
throw new Error(`Data processing error: ${result.error}`); |
|
} |
|
|
|
let resultSeries = { |
|
hsr: data |
|
} |
|
|
|
if(result.payload.lowerBound !== undefined) { |
|
resultSeries['lowerBound'] = { values: result.payload.lowerBound, columns: data.columns }; |
|
} |
|
|
|
if(result.payload.upperBound !== undefined) { |
|
resultSeries['upperBound'] = { values: result.payload.upperBound, columns: data.columns }; |
|
} |
|
|
|
return resultSeries; |
|
} catch (err) { |
|
const message = err.message || JSON.stringify(err); |
|
await AnalyticUnit.setStatus(analyticUnit.id, AnalyticUnit.AnalyticUnitStatus.FAILED, message); |
|
throw new Error(message); |
|
} |
|
}
|
|
|