Anomaly detector detection re running in inspect mode #757 (#759)

* fix

* fix

* fix

* Update server/src/controllers/analytics_controller.ts

Co-Authored-By: Alexey Velikiy <av@corpglory.com>

* add test

* fix

* Update server/spec/analytic_controller.jest.ts

Co-Authored-By: Alexey Velikiy <av@corpglory.com>

* fix

* fix

* fix

* Update server/spec/analytic_controller.jest.ts

Co-Authored-By: rozetko <rozetko@hastic.io>

* fix

* Update server/spec/analytic_controller.jest.ts

Co-Authored-By: Alexey Velikiy <av@corpglory.com>

* Update server/spec/analytic_controller.jest.ts

Co-Authored-By: Alexey Velikiy <av@corpglory.com>

* fix

* fix

* fix

server/spec/analytic_controller.jest.ts

@@ -3,23 +3,24 @@ import { queryByMetric } from 'grafana-datasource-kit';
 jest.mock('grafana-datasource-kit', () => (
   {
     ...(jest.requireActual('grafana-datasource-kit')),
-    queryByMetric: jest.fn((metric, url, from, to, apiKey) => {})
+    queryByMetric: jest.fn((metric, url, from, to, apiKey) => {
+      return { values:[], columns:[] }
+    })
   }
 ));
 
-import { saveAnalyticUnitFromObject, runDetect, onDetect } from '../src/controllers/analytics_controller';
+import { saveAnalyticUnitFromObject, runDetect, onDetect, getHSR } from '../src/controllers/analytics_controller';
 import * as AnalyticUnit from '../src/models/analytic_units';
 import * as AnalyticUnitCache from '../src/models/analytic_unit_cache_model';
 import * as Segment from '../src/models/segment_model';
 import { TEST_ANALYTIC_UNIT_ID } from './utils_for_tests/analytic_units';
 import { buildSegments, clearSegmentsDB, convertSegmentsToTimeRanges } from './utils_for_tests/segments';
-
 import { HASTIC_API_KEY } from '../src/config';
 
+import * as _ from 'lodash';
 
-describe('Check detection range', function() {
-  const analyticUnitObj = {
-    _id: 'test',
+
+const DEFAULT_ANALYTIC_UNIT_OBJECT = {
   name: "test",
   grafanaUrl: "http://127.0.0.1:3000",
   panelId: "ZLc0KfNZk/2",
@@ -70,7 +71,7 @@ describe('Check detection range', function() {
 const WINDOW_SIZE = 10;
 const TIME_STEP = 1000;
 
-  async function addTestUnitToDB(): Promise<string> {
+async function addTestUnitToDB(analyticUnitObj: any): Promise<string> {
   const analyticUnitId = await saveAnalyticUnitFromObject(analyticUnitObj);
   await AnalyticUnit.update(analyticUnitId, { lastDetectionTime: 1000 });
   await AnalyticUnitCache.create(analyticUnitId);
@@ -81,14 +82,15 @@ describe('Check detection range', function() {
   return analyticUnitId;
 };
 
+describe('Check detection range', function() {
   it('check range >= 2 * window size * timeStep', async () => {
     const from = 1500000000000;
     const to = 1500000000001;
     const expectedFrom = to - WINDOW_SIZE * TIME_STEP * 2;
 
-    const id = await addTestUnitToDB();
+    const id = await addTestUnitToDB(DEFAULT_ANALYTIC_UNIT_OBJECT);
     await runDetect(id, from, to);
-    expect(queryByMetric).toBeCalledWith(analyticUnitObj.metric, undefined, expectedFrom, to, HASTIC_API_KEY);
+    expect(queryByMetric).toBeCalledWith(DEFAULT_ANALYTIC_UNIT_OBJECT.metric, undefined, expectedFrom, to, HASTIC_API_KEY);
   });
 });
 
@@ -136,3 +138,15 @@ describe('onDetect', () => {
     expect(detectedRanges).toEqual([[7, 8]]);
   });
 });
+
+describe('getHSR', function() {
+  it('should return nothing if unit state is LEARNING', async () => {
+    let unitObj = _.clone(DEFAULT_ANALYTIC_UNIT_OBJECT);
+    unitObj.detectorType = 'anomaly';
+    const analyticUnitId = await addTestUnitToDB(unitObj);
+    await AnalyticUnitCache.remove(analyticUnitId);
+    const unit = await AnalyticUnit.findById(analyticUnitId);
+    const result = await getHSR(unit, 9000, 100000);
+    expect(result).toEqual({"hsr": {"columns": [], "values": []}});
+  });
+});

server/src/controllers/analytics_controller.ts

@@ -640,34 +640,39 @@ export async function getHSR(
   analyticUnit: AnalyticUnit.AnalyticUnit,
   from: number,
   to: number
-): Promise<{
-  hsr: TableTimeSeries,
-  lowerBound?: TableTimeSeries,
-  upperBound?: TableTimeSeries
-}> {
+): Promise< HSRResult | undefined> {
   try {
     const grafanaUrl = getGrafanaUrl(analyticUnit.grafanaUrl);
-    const data = await queryByMetric(analyticUnit.metric, grafanaUrl, from, to, HASTIC_API_KEY);
-    let resultSeries: HSRResult = {
-      hsr: data
-    }
 
     if(analyticUnit.detectorType === AnalyticUnit.DetectorType.PATTERN) {
+      const resultSeries: HSRResult = {
+        hsr: await queryByMetric(analyticUnit.metric, grafanaUrl, from, to, HASTIC_API_KEY)
+      };
       return resultSeries;
     }
 
     let cache = await AnalyticUnitCache.findById(analyticUnit.id);
-    if(cache === null || cache.isCacheOutdated(analyticUnit)) {
-      await runLearning(analyticUnit.id, from, to);
-      cache = await AnalyticUnitCache.findById(analyticUnit.id);
+
+    const inLearningState = analyticUnit.status === AnalyticUnit.AnalyticUnitStatus.LEARNING;
+
+    //cache.data === null when learning started but not completed yet or first learning was failed
+    if(inLearningState || cache === null || cache.data === null) {
+      const resultSeries: HSRResult = {
+        hsr: await queryByMetric(analyticUnit.metric, grafanaUrl, from, to, HASTIC_API_KEY)
+      };
+      return resultSeries;
+      //TODO: send warning: can't show HSR before learning
     }
 
     cache = cache.data;
+    let resultSeries: HSRResult = {
+      hsr: await queryByMetric(analyticUnit.metric, grafanaUrl, from, to, HASTIC_API_KEY)
+    };
 
     const analyticUnitType = analyticUnit.type;
     const detector = analyticUnit.detectorType;
     const payload = {
-      data: data.values,
+      data: resultSeries.hsr.values,
       analyticUnitType,
       detector,
       cache
@@ -680,11 +685,11 @@ export async function getHSR(
     }
 
     if(result.payload.lowerBound !== undefined) {
-      resultSeries.lowerBound = { values: result.payload.lowerBound, columns: data.columns };
+      resultSeries.lowerBound = { values: result.payload.lowerBound, columns: resultSeries.hsr.columns };
     }
 
     if(result.payload.upperBound !== undefined) {
-      resultSeries.upperBound = { values: result.payload.upperBound, columns: data.columns };
+      resultSeries.upperBound = { values: result.payload.upperBound, columns: resultSeries.hsr.columns };
     }
 
     return resultSeries;

server/src/models/analytic_unit_cache_model.ts

@@ -52,12 +52,6 @@ export class AnalyticUnitCache {
   public getTimeStep(): number {
     return this.data.timeStep;
   }
-
-  public isCacheOutdated(analyticUnit: AnalyticUnit) {
-    return !_.every(
-      _.keys(analyticUnit.analyticProps).map(k => _.isEqual(analyticUnit.analyticProps[k], this.data[k]))
-    );
-  }
 }
 
 export async function findById(id: AnalyticUnitId): Promise<AnalyticUnitCache> {