private List <AnalyticsItem> GetExerciseProgress()
{
List <AnalyticsItem> exerciseProgress = _userExercises.GroupBy(e => e.Definition).Select(g =>
{
ExerciseDefinition def = _userExerciseDefinitions.FirstOrDefault(d => d.Id == g.First().Definition);
Exercise firstExercise = _userExercises.FirstOrDefault(ex => ex.Id == def.History?.FirstOrDefault());
var total = g.Sum(t => (double)t.NetValue);
var numberOfSessions = g.Count();
double progressPercent = 0.0;
if (firstExercise != null)
{
double initialNetValue = ExerciseUtilities.GetNetExerciseValue(firstExercise);
// Progress percent = average net value - initial net value
progressPercent = (total / numberOfSessions) - initialNetValue;
}
return(new AnalyticsItem
{
Marker = def.Title,
Count = progressPercent,
});
}).OrderByDescending(a => a.Count).ToList();
return(exerciseProgress);
}
private double GetLatestExerciseImprovement(Exercise newExercise, Exercise lastExercise)
{
var newNetValue = ExerciseUtilities.GetNetExerciseValue(newExercise);
var lastNetValue = ExerciseUtilities.GetNetExerciseValue(lastExercise);
var min = Math.Min(newNetValue, lastNetValue);
var max = Math.Max(newNetValue, lastNetValue);
var delta = max - min;
// Get a percentage of deviation based on average net value
var improvement = (delta / max) * 100;
// If most recent value is less than average, this is a negative correlation
if (lastNetValue > newNetValue)
{
improvement *= -1;
}
return(Math.Round(improvement));
}
