import {buildDailyTrends, buildFeelingCorrelation} from '../history/historyAnalytics';
import type {StoredMeasurement} from '../storage/storageTypes';
import {makeProcessingResult} from './syntheticMeasurements';

const makeMeasurement = (
  id: string,
  measuredAt: string,
  bpm: number,
  feeling: 1 | 2 | 3 | 4 | 5,
): StoredMeasurement => ({
  schemaVersion: 1,
  id,
  measuredAt,
  acquisition: {cameraPosition: 'front', torchUsed: false},
  atRest: true,
  baselineEligible: true,
  cameraResult: (() => {
    const result = makeProcessingResult();
    return {...result, bpm: {...result.bpm, bpm}};
  })(),
  potentialStress: {
    index: 20, confidence: 0.8, status: 'provisional', bpmContribution: 0,
    prvContribution: 0, signalQuality: 0.9, baselineMeasurementCount: 5,
    healthKitUsedForScore: false, limitations: [],
  },
  healthKitContext: null,
  selfReport: {
    feeling, posture: 'seated', recentExercise: false, recentCaffeine: false,
    recentMeal: false, movementDuringMeasurement: false, phoneUnusuallyWarm: false,
    recordedAt: measuredAt,
  },
});

describe('history analytics', () => {
  test('aggregates multiple measurements into chronological daily points', () => {
    const now = Date.parse('2026-07-17T12:00:00.000Z');
    const trends = buildDailyTrends([
      makeMeasurement('a', '2026-07-16T08:00:00.000Z', 70, 3),
      makeMeasurement('b', '2026-07-16T18:00:00.000Z', 80, 4),
      makeMeasurement('c', '2026-07-17T08:00:00.000Z', 90, 4),
    ], 30, now);
    expect(trends.map(point => point.day)).toEqual(['2026-07-16', '2026-07-17']);
    expect(trends[0]).toMatchObject({bpm: 75, count: 2});
  });

  test('groups descriptive BPM and RMSSD averages by feeling', () => {
    const correlation = buildFeelingCorrelation([
      makeMeasurement('a', '2026-07-16T08:00:00.000Z', 70, 4),
      makeMeasurement('b', '2026-07-16T18:00:00.000Z', 80, 4),
    ]);
    expect(correlation).toHaveLength(1);
    expect(correlation[0]).toMatchObject({feeling: 4, averageBpm: 75, count: 2});
  });
});