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86 lines
2.4 KiB
86 lines
2.4 KiB
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 { Metric } from 'grafana-datasource-kit'; |
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import * as _ from 'lodash'; |
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export const TEST_ANALYTIC_UNIT_ID: AnalyticUnit.AnalyticUnitId = 'testid'; |
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const DEFAULT_DATASOURCE_STRUCTURE = { |
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url: "api/datasources/proxy/5/query", |
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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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const DEFAULT_TARGETS_STRUCTURE = [ |
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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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export const DEFAULT_METRIC = new Metric( |
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DEFAULT_DATASOURCE_STRUCTURE, |
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DEFAULT_TARGETS_STRUCTURE |
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); |
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export async function createTestDB(createCache = true) { |
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const analyticUnitObject = AnalyticUnitObject.getAnalyticUnitObject(); |
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const unit = AnalyticUnit.createAnalyticUnitFromObject(analyticUnitObject); |
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await AnalyticUnit.create(unit); |
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if(createCache) { |
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await AnalyticUnitCache.create(TEST_ANALYTIC_UNIT_ID); |
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await AnalyticUnitCache.setData(TEST_ANALYTIC_UNIT_ID, { timeStep: 1 }); |
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} |
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return unit; |
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} |
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export async function clearTestDB() { |
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await AnalyticUnit.remove(TEST_ANALYTIC_UNIT_ID); |
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await AnalyticUnitCache.remove(TEST_ANALYTIC_UNIT_ID); |
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} |
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export class AnalyticUnitObject { |
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constructor( |
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public _id: AnalyticUnit.AnalyticUnitId = TEST_ANALYTIC_UNIT_ID, |
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public name: string = 'name', |
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public grafanaUrl: string = 'grafanaUrl', |
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public panelId: string = 'panelId', |
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public type: string = 'type', |
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public metric: Metric = DEFAULT_METRIC, |
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public alert: boolean = false, |
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public labeledColor: string = '#FF99FF', |
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public deletedColor: string = '#00f0ff', |
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public detectorType: AnalyticUnit.DetectorType = AnalyticUnit.DetectorType.ANOMALY, |
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public visible: boolean = true, |
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public collapsed: boolean = false |
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){}; |
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static getAnalyticUnitObject(): AnalyticUnitObject { |
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return new AnalyticUnitObject(); |
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} |
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}
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