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90 lines
2.6 KiB
90 lines
2.6 KiB
import { queryByMetric } from 'grafana-datasource-kit'; |
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jest.mock('grafana-datasource-kit', () => ( |
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{ |
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...(jest.requireActual('grafana-datasource-kit')), |
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queryByMetric: jest.fn((metric, url, from, to, apiKey) => {}) |
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} |
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)); |
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import { saveAnalyticUnitFromObject, runDetect } from '../src/controllers/analytics_controller'; |
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import * as AnalyticUnit from '../src/models/analytic_units'; |
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import * as AnalyticUnitCache from '../src/models/analytic_unit_cache_model'; |
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import { HASTIC_API_KEY } from '../src/config'; |
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describe('Check detection range', function() { |
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const analyticUnitObj = { |
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_id: 'test', |
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name: "test", |
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grafanaUrl: "http://127.0.0.1:3000", |
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panelId: "ZLc0KfNZk/2", |
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type: "GENERAL", |
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metric: { |
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datasource: { |
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url: "api/datasources/proxy/5/query", |
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method: "GET", |
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data: null, |
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params: { |
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db:"dbname", |
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q: "SELECT mean(\"value\") FROM \"autogen\".\"tcpconns_value\" WHERE time >= now() - 6h GROUP BY time(20s) fill(null)", |
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epoch: "ms" |
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}, |
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type: "influxdb" |
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}, |
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targets: [ |
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{ |
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groupBy: [ |
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{ |
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params: ["$__interval"], |
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type: "time" |
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}, |
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{ |
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params: ["null"], |
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type: "fill" |
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} |
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], |
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measurement: "tcpconns_value", |
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orderByTime: "ASC", |
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policy: "autogen", |
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refId: "A", |
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resultFormat: "time_series", |
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select: [[{"params":["value"],"type":"field"},{"params":[],"type":"mean"}]],"tags":[] |
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} |
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] |
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}, |
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alert: false, |
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labeledColor: "#FF99FF", |
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deletedColor: "#00f0ff", |
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detectorType: "pattern", |
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visible: true, |
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collapsed: false, |
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createdAt: {"$$date":1564476040880}, |
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updatedAt: {"$$date":1564476040880} |
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} |
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const WINDOW_SIZE = 10; |
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const TIME_STEP = 1000; |
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async function addTestUnitToDB(): Promise<string> { |
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const analyticUnitId = await saveAnalyticUnitFromObject(analyticUnitObj); |
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await AnalyticUnit.update(analyticUnitId, {lastDetectionTime: 1000}); |
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await AnalyticUnitCache.create(analyticUnitId); |
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await AnalyticUnitCache.setData(analyticUnitId, { |
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windowSize: WINDOW_SIZE, |
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timeStep: TIME_STEP |
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}); |
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return analyticUnitId; |
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}; |
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it('check range >= 2 * window size * timeStep', async () => { |
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const from = 1500000000000; |
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const to = 1500000000001; |
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const expectedFrom = to - WINDOW_SIZE * TIME_STEP * 2; |
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const id = await addTestUnitToDB(); |
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await runDetect(id, from, to); |
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expect(queryByMetric).toBeCalledWith(analyticUnitObj.metric, undefined, expectedFrom, to, HASTIC_API_KEY); |
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}); |
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});
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