public TrainingSet(string name, TrainingSettings training, TrainingDataSettings trainingData, TrainingNetworkSettings network)
{
Name = name;
Training = training;
TrainingData = trainingData;
Network = network;
}
public TrainingDataTainingDetailsModel GetTrainingDataForPeriod(int userId,
int period,
DateTime now, TrainingDataSettings
settings)
{
var trainingDataTainingDetailsModel = new TrainingDataTainingDetailsModel();
Types.MeasurementInfoTypes type;
Enum.TryParse(settings.MeasurmentType.ToString(), out type);
var periodTrainingDataStrategy = DataUtils.GetPeriodTrainingDataStrategy(userId, period);
var numericCalculationTypeStrategy = _calculationStrategies[settings.MesurmentInfoCalculationType];
var sessions = TrainingSessionRepository.GetAsQueryable <TrainingSession>().ToList()
.Where(d => d.UserId == userId && periodTrainingDataStrategy.IsInLowerTimeBound(d))
.ToList();
var measurements = GetMeasurementInfoSummary(now, periodTrainingDataStrategy, numericCalculationTypeStrategy, periodTrainingDataStrategy.NumberOfRecords,
DataUtils.MeasurmentPropertySelectors[type], sessions);
var activities = GetActivityInfoSummary(now, periodTrainingDataStrategy.NumberOfRecords,
periodTrainingDataStrategy,
numericCalculationTypeStrategy,
settings.SelectedActivitiesTypes.Cast <Types.TrainingType>().ToList(), sessions);
var efforts = GetEffortSummary(now, periodTrainingDataStrategy,
numericCalculationTypeStrategy,
periodTrainingDataStrategy.NumberOfRecords, sessions);
// NormalizeAllArrayValues(activities, measurements, efforts);
if (measurements != null)
{
trainingDataTainingDetailsModel.Measurments = measurements.ToList();
}
if (activities != null)
{
trainingDataTainingDetailsModel.Activities = AddaptActivityDataFillOnlyOne(activities, periodTrainingDataStrategy.NumberOfRecords);
}
if (efforts != null)
{
trainingDataTainingDetailsModel.Efort = efforts.ToList();
}
trainingDataTainingDetailsModel.Activities.Reverse();
trainingDataTainingDetailsModel.Efort.Reverse();
trainingDataTainingDetailsModel.Measurments.Reverse();
return(trainingDataTainingDetailsModel);
}