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