health_local_data_convert_test.dart
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import 'package:doublefeel_flutter/core/services/health_raw_data_core_service.dart';
import 'package:doublefeel_flutter/data/datasource/health/health_local_data_convert.dart';
import 'package:doublefeel_flutter/pigeon/health_kit_raw_data_api.g.dart';
import 'package:flutter_test/flutter_test.dart';
void main() {
group('LocalHealthDataConvert sleep intervals', () {
test('keeps previous-day sleep start for next-day sleep statistics', () {
final july15 = DateTime(2026, 7, 15);
final july16 = DateTime(2026, 7, 16);
final sleepStart = DateTime(2026, 7, 15, 23, 56);
final midnight = DateTime(2026, 7, 16);
final sleepEnd = DateTime(2026, 7, 16, 7);
final intervals = [
HealthKitRawDataPoint(
dataType: 3,
startTime: LocalHealthDataConvert.unixSeconds(sleepStart),
endTime: LocalHealthDataConvert.unixSeconds(midnight),
),
HealthKitRawDataPoint(
dataType: 3,
startTime: LocalHealthDataConvert.unixSeconds(midnight),
endTime: LocalHealthDataConvert.unixSeconds(sleepEnd),
),
];
final previousDayIntervals =
LocalHealthDataConvert.completeSleepIntervalsForDay(
july15,
intervals,
);
final currentDayIntervals =
LocalHealthDataConvert.completeSleepIntervalsForDay(
july16,
intervals,
);
final statistics = LocalHealthDataConvert.sleepStatistics(
dateRangeType: 3,
days: [july16],
previousDays: const [],
sleepIntervals: intervals,
heartRate: const [],
);
expect(previousDayIntervals, isEmpty);
expect(currentDayIntervals, hasLength(2));
expect(
currentDayIntervals.first.startTime,
LocalHealthDataConvert.unixSeconds(sleepStart),
);
expect(
statistics.asleepTimeTrendList?.single.asleepTime,
LocalHealthDataConvert.unixSeconds(sleepStart),
);
expect(
statistics.sleepTrendList?.single.totalTime,
const Duration(hours: 7, minutes: 4).inSeconds,
);
});
test('sets sleep duration to zero when sleep score is unavailable', () {
final day = DateTime(2026, 7, 16);
final awakeStart = DateTime(2026, 7, 16, 1);
final awakeEnd = DateTime(2026, 7, 16, 2);
final statistics = LocalHealthDataConvert.sleepStatistics(
dateRangeType: 3,
days: [day],
previousDays: const [],
sleepIntervals: [
HealthKitRawDataPoint(
dataType: 2,
startTime: LocalHealthDataConvert.unixSeconds(awakeStart),
endTime: LocalHealthDataConvert.unixSeconds(awakeEnd),
),
],
heartRate: const [],
);
expect(statistics.sleepTrendList?.single.totalTime, 0);
expect(statistics.sleepTrendList?.single.score, isNull);
expect(statistics.sleepTrendList?.single.sleepEvaluate, isNull);
expect(statistics.avgSleepDuration, isNull);
});
});
group('LocalHealthDataConvert v2StressScore', () {
test('uses median and p75 after excluding confirmed activity buffer', () {
const userId = 1;
const dayStart = 100000;
const dayEnd = dayStart + Duration.secondsPerDay - 1;
const flagsNone = HealthRawPointFlags.none();
const workoutFlags = HealthRawPointFlags(
isWorkout: true,
isWorkoutRecovery: false,
isSleepLikely: false,
isSuspectedActivity: false,
);
const suspectedFlags = HealthRawPointFlags(
isWorkout: false,
isWorkoutRecovery: false,
isSleepLikely: false,
isSuspectedActivity: true,
);
HealthRawRealtimeStressPoint point(
int offset,
double value, {
HealthRawPointFlags flags = flagsNone,
}) {
return HealthRawRealtimeStressPoint(
userId: userId,
rawEndTime: dayStart + offset,
result: value,
sourceStartTime: dayStart + offset,
sourceEndTime: dayStart + offset,
flags: flags,
);
}
final score = LocalHealthDataConvert.v2StressScore(
[
point(600, 10),
point(1200, 20, flags: suspectedFlags),
point(1800, 30),
point(2000, 40),
point(3000, 90, flags: workoutFlags),
point(3300, 100),
point(4200, 80),
point(4800, 110),
],
startTime: dayStart,
endTime: dayEnd,
);
expect(score.comprehensiveScore, 34);
expect(score.state, HealthRawStressState.normal.value);
});
test('uses activity buffer from adjacent day', () {
const userId = 1;
const dayStart = 100000;
const dayEnd = dayStart + Duration.secondsPerDay - 1;
const workoutFlags = HealthRawPointFlags(
isWorkout: true,
isWorkoutRecovery: false,
isSleepLikely: false,
isSuspectedActivity: false,
);
final score = LocalHealthDataConvert.v2StressScore(
[
HealthRawRealtimeStressPoint(
userId: userId,
rawEndTime: dayStart - 300,
result: 80,
sourceStartTime: dayStart - 300,
sourceEndTime: dayStart - 300,
flags: workoutFlags,
),
HealthRawRealtimeStressPoint(
userId: userId,
rawEndTime: dayStart + 100,
result: 90,
sourceStartTime: dayStart + 100,
sourceEndTime: dayStart + 100,
),
HealthRawRealtimeStressPoint(
userId: userId,
rawEndTime: dayStart + 1000,
result: 20,
sourceStartTime: dayStart + 1000,
sourceEndTime: dayStart + 1000,
),
],
startTime: dayStart,
endTime: dayEnd,
);
expect(score.comprehensiveScore, 20);
expect(score.state, HealthRawStressState.excellent.value);
});
});
group('LocalHealthDataConvert hrvStatistics', () {
test('uses daily comprehensive stress for trend and distributions', () {
final currentDay = DateTime(2026, 7, 16);
final previousDay = DateTime(2026, 7, 9);
final currentStart = LocalHealthDataConvert.unixSeconds(currentDay);
final previousStart = LocalHealthDataConvert.unixSeconds(previousDay);
HealthRawHrvStressPoint hrvPoint(int time, double value) {
return HealthRawHrvStressPoint(
userId: 1,
rawEndTime: time,
rawHrv: value,
result: value,
sourceStartTime: time,
sourceEndTime: time,
state: HealthRawStressState.excellent,
baselineHrv: 50,
baselineAwakeHrv: 50,
baselineSleepHrv: null,
baselineRestingHr: 65,
);
}
HealthRawRealtimeStressPoint stressPoint(int time, double value) {
return HealthRawRealtimeStressPoint(
userId: 1,
rawEndTime: time,
result: value,
sourceStartTime: time,
sourceEndTime: time,
);
}
final statistics = LocalHealthDataConvert.hrvStatistics(
dateRangeType: 0,
days: [currentDay],
previousDays: [previousDay],
hrvPoints: [
hrvPoint(currentStart + 600, 80),
],
realtimePoints: [
stressPoint(currentStart + 600, 10),
stressPoint(currentStart + 1200, 80),
stressPoint(previousStart + 600, 90),
],
);
expect(statistics.hrvTrendList?.single.hrvAverage, 80);
expect(
statistics.hrvTrendList?.single.state,
HealthRawStressState.normal.value,
);
expect(statistics.hrvDistributionList?.single.stressId,
HealthRawStressState.normal.value);
expect(statistics.hrvDistributionList?.single.dayCounts, 1);
expect(statistics.qoqHrvDistributionList?.single.stressState,
HealthRawStressState.overload.value);
expect(statistics.qoqHrvDistributionList?.single.dayCounts, 1);
expect(statistics.dailyDistributionList, isNull);
});
test('keeps yearly months that only have comprehensive stress data', () {
final mayDay = DateTime(2026, 5, 12);
final mayStart = LocalHealthDataConvert.unixSeconds(mayDay);
final statistics = LocalHealthDataConvert.hrvStatistics(
dateRangeType: 2,
days: LocalHealthDataConvert.rangeDays(2, 20260101),
previousDays: const [],
hrvPoints: const [],
realtimePoints: [
HealthRawRealtimeStressPoint(
userId: 1,
rawEndTime: mayStart + 600,
result: 70,
sourceStartTime: mayStart + 600,
sourceEndTime: mayStart + 600,
),
HealthRawRealtimeStressPoint(
userId: 1,
rawEndTime: mayStart + 1200,
result: 80,
sourceStartTime: mayStart + 1200,
sourceEndTime: mayStart + 1200,
),
],
);
expect(statistics.hrvTrendList, hasLength(1));
expect(statistics.hrvTrendList?.single.timeKey, 5);
expect(statistics.hrvTrendList?.single.hrvAverage, isNull);
expect(statistics.hrvTrendList?.single.hrAverage, 75);
expect(
statistics.hrvTrendList?.single.state,
HealthRawStressState.attention.value,
);
expect(statistics.dailyDistributionList, hasLength(1));
expect(statistics.dailyDistributionList?.single.date, 20260512);
expect(
statistics.dailyDistributionList?.map((e) => e.date),
isNot(contains(20260101)),
);
expect(statistics.hrvDistributionList?.single.stressId,
HealthRawStressState.attention.value);
});
});
group('LocalHealthDataConvert activity unit conversion', () {
test('passes through exercise and stand seconds from raw activity data',
() {
final day = DateTime(2026, 7, 16);
final endTime = LocalHealthDataConvert.unixSeconds(
day.add(const Duration(hours: 12)),
);
final activity = [
HealthKitRawActivityDataPoint(
endTime: endTime,
activeEnergyBurned: 300,
activeEnergyBurnedGoal: 500,
appleMoveTime: 8000,
appleMoveTimeGoal: 10000,
appleExerciseTime: 1800,
exerciseTimeGoal: 3600,
appleStandHours: 21600,
standHoursGoal: 43200,
),
];
final healthData = LocalHealthDataConvert.v2HealthData(
day: day,
hrvPoints: const [],
activity: activity,
sleepingHeartRate: const [],
restingHeartRate: const [],
sleepIntervals: const [],
);
final target = LocalHealthDataConvert.v2ActivityTarget(
userId: 1,
activity: activity,
);
final statistics = LocalHealthDataConvert.activityBurnStatistics(
days: [day],
previousDays: const [],
activity: activity,
heartRate: const [],
sleepIntervals: const [],
);
expect(healthData.exercise, 1800);
expect(healthData.stand, 21600);
expect(target.exercise, 3600);
expect(target.stand, 43200);
expect(statistics.totalExercise, 1800);
expect(statistics.totalStand, 21600);
expect(statistics.activityTargetInfo?.exercise, 3600);
expect(statistics.activityTargetInfo?.stand, 43200);
});
});
}