workouttest_app/lib/bloc/result/result_bloc.dart
2020-12-17 22:32:45 +01:00

226 lines
7.2 KiB
Dart

import 'dart:async';
import 'package:aitrainer_app/model/cache.dart';
import 'package:aitrainer_app/model/result.dart';
import 'package:aitrainer_app/repository/exercise_repository.dart';
import 'package:aitrainer_app/repository/exercise_result_repository.dart';
import 'package:bloc/bloc.dart';
import 'package:equatable/equatable.dart';
import 'package:flutter_form_bloc/flutter_form_bloc.dart';
import 'package:health/health.dart';
part 'result_event.dart';
part 'result_state.dart';
class ResultBloc extends Bloc<ResultEvent, ResultState> {
final ExerciseResultRepository resultRepository;
final ExerciseRepository exerciseRepository;
List<HealthDataPoint> _healthDataList = List();
DateTime startTime;
DateTime endTime;
final HealthFactory health = HealthFactory();
final List<HealthDataType> types = [
HealthDataType.ACTIVE_ENERGY_BURNED,
HealthDataType.WATER,
HealthDataType.STEPS,
HealthDataType.HEART_RATE,
HealthDataType.BASAL_ENERGY_BURNED,
HealthDataType.BODY_TEMPERATURE,
HealthDataType.HIGH_HEART_RATE_EVENT,
HealthDataType.LOW_HEART_RATE_EVENT,
HealthDataType.RESTING_HEART_RATE
];
ResultBloc({this.resultRepository, this.exerciseRepository}) : super(ResultInitial()) {
this.startTime = exerciseRepository.start;
this.endTime = exerciseRepository.end;
}
@override
Stream<ResultState> mapEventToState(
ResultEvent event,
) async* {
try {
if (event is ResultLoad) {
yield ResultLoading();
await _fetchHealthData();
_matchExerciseData();
yield ResultReady();
}
} on Exception catch (ex) {
yield ResultError(error: ex.toString());
}
}
void _matchExerciseData() {
resultRepository.getResults().forEach((element) {
switch (element.item) {
case ResultItem.bpm_avg:
element.data = _gethHealthDataPointValueAvg(HealthDataType.HEART_RATE).toStringAsFixed(0);
break;
case ResultItem.bpm_min:
element.data = element.data = _gethHealthDataPointValueMin(HealthDataType.HEART_RATE).toStringAsFixed(0);
break;
case ResultItem.bpm_max:
element.data = element.data = _gethHealthDataPointValueMax(HealthDataType.HEART_RATE).toStringAsFixed(0);
break;
case ResultItem.calorie:
element.data = _gethHealthDataPointValueSum(HealthDataType.ACTIVE_ENERGY_BURNED).toStringAsFixed(0);
break;
case ResultItem.development_percent_bodypart:
// TODO: Handle this case.
break;
case ResultItem.distance:
if (exerciseRepository.exerciseType.unit == "meter") {
element.data = exerciseRepository.exercise.quantity.toStringAsFixed(0);
}
break;
case ResultItem.fatburn_percent:
DateTime today = DateTime.now();
int age = today.year - Cache().userLoggedIn.birthYear;
double minBpm = (200 - age) * 0.6;
double maxBpm = (200 - age) * 0.7;
int counter = 0;
int burnCounter = 0;
_healthDataList.forEach((dataPoint) {
if (dataPoint.type == HealthDataType.ACTIVE_ENERGY_BURNED) {
if (dataPoint.value >= minBpm && dataPoint.value <= maxBpm) {
burnCounter++;
}
counter++;
}
});
if (counter > 0) {
element.data = (burnCounter / counter * 100).toStringAsFixed(2);
} else {
element.data = "0";
}
break;
case ResultItem.speed_max:
// TODO: Handle this case.
break;
case ResultItem.reps_volume:
if (exerciseRepository.exerciseType.unit == "repeat") {
double value = 0;
exerciseRepository.actualExerciseList.forEach((element) {
value += element.quantity;
});
element.data = value.toStringAsFixed(0);
}
break;
case ResultItem.steps:
element.data = _gethHealthDataPointValueSum(HealthDataType.STEPS).toStringAsFixed(0);
break;
/* case ResultItem.time:
final Duration duration = this.endTime.difference(this.startTime);
element.data = _printDuration(duration);
break; */
case ResultItem.weight_volume:
if (exerciseRepository.exerciseType.unitQuantityUnit == "kilogram") {
double value = 0;
exerciseRepository.actualExerciseList.forEach((element) {
value += element.quantity * element.unitQuantity;
});
element.data = value.toStringAsFixed(0);
}
break;
}
});
}
String _printDuration(Duration duration) {
String twoDigits(int n) => n.toString().padLeft(2, "0");
String twoDigitMinutes = twoDigits(duration.inMinutes);
String twoDigitSeconds = twoDigits(duration.inSeconds.remainder(60));
String twoDigitMilliSeconds = duration.inMilliseconds.remainder(1000).toString();
return "$twoDigitMinutes:$twoDigitSeconds:$twoDigitMilliSeconds" + '"';
}
double _gethHealthDataPointValueAvg(HealthDataType dataType) {
double value = 0;
double counter = 0;
_healthDataList.forEach((dataPoint) {
if (dataPoint.type == dataType) {
value += dataPoint.value;
counter++;
}
});
double avg = 0;
if (counter > 0) {
avg = value / counter;
}
return avg;
}
double _gethHealthDataPointValueSum(HealthDataType dataType) {
double value = 0;
_healthDataList.forEach((dataPoint) {
if (dataPoint.type == dataType) {
value += dataPoint.value;
}
});
return value;
}
double _gethHealthDataPointValueMax(HealthDataType dataType) {
double max = 0;
_healthDataList.forEach((dataPoint) {
if (dataPoint.type == dataType) {
if (max < dataPoint.value) {
max = dataPoint.value;
}
}
});
return max;
}
double _gethHealthDataPointValueMin(HealthDataType dataType) {
double min = 9999999;
_healthDataList.forEach((dataPoint) {
if (dataPoint.type == dataType) {
if (min > dataPoint.value && dataPoint.value != 0) {
min = dataPoint.value;
}
}
});
if (min == 9999999) {
min = 0;
}
return min;
}
Future<void> _fetchHealthData() async {
if (health == null) {
return;
}
try {
print("Get Health data between " + startTime.toString() + " AND " + endTime.toString());
_healthDataList = await health.getHealthDataFromTypes(this.startTime, this.endTime, types);
_healthDataList.forEach((element) {
print(element.toString());
});
} on Exception catch (e) {
print("Caught exception in getHealthDataFromTypes: $e");
throw Exception(e);
}
}
double calculate1RM({double percent}) {
if (exerciseRepository.exercise == null) {
exerciseRepository.getLastExercise();
}
double weight = exerciseRepository.exercise.unitQuantity;
double repeat = exerciseRepository.exercise.quantity;
if (weight == 0 || repeat == 0) {
return 0;
}
double rmWendler = weight * repeat * 0.0333 + weight;
double rmOconner = weight * (1 + repeat / 40);
double average = (rmWendler + rmOconner) / 2;
return average * percent;
}
}