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import { buildSegments, clearDB, TEST_ANALYTIC_UNIT_ID } from './utils_for_tests/segments';
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import * as AnalyticUnit from '../src/models/analytic_units';
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import * as Segment from '../src/models/segment_model';
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import * as AnalyticUnitCache from '../src/models/analytic_unit_cache_model';
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import * as _ from 'lodash';
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const INITIAL_SEGMENTS = buildSegments([[0, 1], [2, 3], [4, 5]]);
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beforeAll(async () => {
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clearDB();
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await AnalyticUnit.create(
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AnalyticUnit.createAnalyticUnitFromObject({
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_id: TEST_ANALYTIC_UNIT_ID,
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name: 'name',
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grafanaUrl: 'grafanaUrl',
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panelId: 'panelId',
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type: 'type',
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detectorType: AnalyticUnit.DetectorType.ANOMALY
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})
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);
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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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beforeEach(async () => {
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await Segment.mergeAndInsertSegments(INITIAL_SEGMENTS);
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});
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afterEach(async () => {
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clearDB();
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});
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describe('mergeAndInsertSegments', function() {
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it('Should be merged before insertion', async function() {
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const segmentsToInsert = buildSegments([[1, 2]]);
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await Segment.mergeAndInsertSegments(segmentsToInsert);
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let actualSegments = await Segment.findMany(TEST_ANALYTIC_UNIT_ID, {});
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actualSegments.forEach(s => { s.id = undefined });
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actualSegments = _.sortBy(actualSegments, s => s.from);
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expect(actualSegments).toEqual(buildSegments([[0, 3], [4, 5]]));
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});
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});
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