private const int IncorrectExerciseLimit = 5; // could be a report parameter
public override IList <ExerciseStatsBySubject> BuildEntities(IEnumerable <ExerciseRecord> records)
{
var groupedRecords = records.GroupBy((t) => new { t.Domain, t.Subject });
var aggregatedStatsList = new List <ExerciseStatsBySubject>();
foreach (var groupedRecord in groupedRecords)
{
var learningSubject = new LearningSubject
{
Name = groupedRecord.Key.Subject,
LearningDomain = new LearningDomain {
Name = groupedRecord.Key.Domain
}
};
var learningObjectiveStats = new ExerciseStatsBySubject
{
Aggregate = learningSubject,
AverageExerciseCount = groupedRecord.GroupBy(r => r.UserId).Average(r => r.Count()),
AverageExerciseInCorrect = groupedRecord.GroupBy(r => r.UserId).Average(r => r.Count(e => e.IsInCorrect)),
TopInCorrectExercises = GetTopIncorrectExercises(groupedRecord),
NegativeProgressUserStats = GetUserStatsWithoutProgress(groupedRecord),
LearningObjectiveStats = GetLearningObjectiveStats(groupedRecord)
};
aggregatedStatsList.Add(learningObjectiveStats);
}
return(aggregatedStatsList);
}
public async Task AddLS()
{
LearningSubject result = await NavigationService.Navigate <LearningSubject>(typeof(LSAddViewModel));
if (result != null)
{
Collection.Add(result);
}
}
private ITrainer getTrainer(LearningSubject subject, ILearnable learnable, Type type, bool useCache)
{
if (trainers.ContainsKey(new Tuple <LearningSubject, Type>(subject, type)))
{
return
((ITrainer)
Activator.CreateInstance(trainers[new Tuple <LearningSubject, Type>(subject, type)], learnable, useCache));
}
return(null);
}
public ITrainer GetTrainer(LearningSubject subject, ILearnable learnable)
{
var all = learnable.GetType().GetInterfaces();
var learnableInterfaces =
all.Except(all.SelectMany(x => x.GetInterfaces()))
.Where(x => x.GetInterfaces().Contains(typeof(ILearnable)));
var res = new List <ITrainer>();
foreach (Type type in learnableInterfaces)
{
res.Add(getTrainer(subject, learnable, type, false));
}
return(res.First());
}
public ITrainer GetTrainer(LearningSubject subject, LearningObject obj, bool useCahce)
{
Type learnerType = null;
switch (obj)
{
case LearningObject.Network:
learnerType = typeof(ILearnableNetwork);
break;
case LearningObject.Neuron:
learnerType = typeof(ILearnableNeuron);
break;
default:
throw new ArgumentOutOfRangeException(nameof(obj), obj, null);
}
return(getTrainer(subject, null, learnerType, useCahce));
}
public IEnumerable <LearningSubject> GetLearningDataByDate(DateTime maxDateTime)
{
var groups = _learningDataCollection.Find(l => l.SubmitDateTime >= maxDateTime.Date && l.SubmitDateTime <= maxDateTime)
.GroupBy(d => new { d.Subject, d.Domain, d.LearningObjective })
.GroupBy(d => new { d.Key.Subject, d.Key.Domain })
.GroupBy(d => d.Key.Subject).ToList();
var subjects = new List <LearningSubject>();
foreach (var subjectGroup in groups)
{
var subject = new LearningSubject {
Name = subjectGroup.Key, Domains = new List <LearningDomain>()
};
foreach (var domainGroup in subjectGroup)
{
var domain = new LearningDomain {
Name = domainGroup.Key.Domain, Objectives = new List <LearningObjectiveData>()
};
foreach (var objectiveGroup in domainGroup)
{
domain.Objectives.Add(new LearningObjectiveData
{
Name = objectiveGroup.Key.LearningObjective,
LearningData = objectiveGroup.ToList(),
AverageProgress = Math.Round(objectiveGroup.Where(d => d.Progress != 0).Average(d => d.Progress), 2),
NumberOfExercises = objectiveGroup.GroupBy(d => d.SubmittedAnswerId).Count(),
NumberOfPupils = objectiveGroup.GroupBy(d => d.UserId).Count()
});
}
subject.Domains.Add(domain);
}
subjects.Add(subject);
}
return(subjects);
}
private void ValidateLearningSubject(LearningSubject learningSubject, string domain, string subject)
{
Assert.AreEqual(domain, learningSubject.LearningDomain.Name);
Assert.AreEqual(subject, learningSubject.Name);
}
public ITrainer GetTrainer(LearningSubject subject, LearningObject obj)
{
return(GetTrainer(subject, obj, true));
}
