Sacha
55 lines
2.0 KiB
TypeScript
55 lines
2.0 KiB
TypeScript
import {buildDailyTrends, buildFeelingCorrelation} from '../history/historyAnalytics';
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import type {StoredMeasurement} from '../storage/storageTypes';
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import {makeProcessingResult} from './syntheticMeasurements';
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const makeMeasurement = (
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id: string,
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measuredAt: string,
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bpm: number,
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feeling: 1 | 2 | 3 | 4 | 5,
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): StoredMeasurement => ({
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schemaVersion: 1,
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id,
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measuredAt,
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acquisition: {cameraPosition: 'front', torchUsed: false},
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atRest: true,
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baselineEligible: true,
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cameraResult: (() => {
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const result = makeProcessingResult();
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return {...result, bpm: {...result.bpm, bpm}};
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})(),
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potentialStress: {
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index: 20, confidence: 0.8, status: 'provisional', bpmContribution: 0,
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prvContribution: 0, signalQuality: 0.9, baselineMeasurementCount: 5,
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healthKitUsedForScore: false, limitations: [],
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},
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healthKitContext: null,
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selfReport: {
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feeling, posture: 'seated', recentExercise: false, recentCaffeine: false,
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recentMeal: false, movementDuringMeasurement: false, phoneUnusuallyWarm: false,
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recordedAt: measuredAt,
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},
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});
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describe('history analytics', () => {
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test('aggregates multiple measurements into chronological daily points', () => {
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const now = Date.parse('2026-07-17T12:00:00.000Z');
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const trends = buildDailyTrends([
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makeMeasurement('a', '2026-07-16T08:00:00.000Z', 70, 3),
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makeMeasurement('b', '2026-07-16T18:00:00.000Z', 80, 4),
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makeMeasurement('c', '2026-07-17T08:00:00.000Z', 90, 4),
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], 30, now);
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expect(trends.map(point => point.day)).toEqual(['2026-07-16', '2026-07-17']);
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expect(trends[0]).toMatchObject({bpm: 75, count: 2});
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});
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test('groups descriptive BPM and RMSSD averages by feeling', () => {
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const correlation = buildFeelingCorrelation([
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makeMeasurement('a', '2026-07-16T08:00:00.000Z', 70, 4),
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makeMeasurement('b', '2026-07-16T18:00:00.000Z', 80, 4),
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]);
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expect(correlation).toHaveLength(1);
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expect(correlation[0]).toMatchObject({feeling: 4, averageBpm: 75, count: 2});
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});
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});
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