private void setDefaultValues(IndividualSettingsDTO individualSettingsDTO, OriginData originData, IParameterDTO parameterAgeDTO, IParameterDTO parameterGestationalAge)
{
var parameterWeight = _individualModelTask.MeanWeightFor(originData);
var parameterHeight = _individualModelTask.MeanHeightFor(originData);
var parameterBMI = _individualModelTask.BMIBasedOn(originData, parameterWeight, parameterHeight);
individualSettingsDTO.SetDefaultParameters(parameterAgeDTO,
_parameterMapper.MapAsReadWriteFrom(parameterHeight),
_parameterMapper.MapAsReadWriteFrom(parameterWeight),
_parameterMapper.MapAsReadWriteFrom(parameterBMI),
parameterGestationalAge);
}
public Model.OriginData MapFrom(BatchOriginData batchOriginData)
{
var originData = new Model.OriginData();
var species = _speciesRepository.FindByName(batchOriginData.Species);
if (species == null)
{
throw new PKSimException(PKSimConstants.Error.CouldNotFindSpecies(batchOriginData.Species, _speciesRepository.AllNames()));
}
originData.Species = species;
var population = species.PopulationByName(batchOriginData.Population);
if (population == null)
{
if (string.IsNullOrEmpty(batchOriginData.Population) && species.Populations.Count() == 1)
{
population = species.Populations.ElementAt(0);
}
else
{
throw new PKSimException(PKSimConstants.Error.CouldNotFindPopulationForSpecies(batchOriginData.Population, batchOriginData.Species, species.Populations.AllNames()));
}
}
originData.SpeciesPopulation = population;
var gender = population.GenderByName(batchOriginData.Gender);
if (gender == null)
{
if (string.IsNullOrEmpty(batchOriginData.Gender))
{
gender = population.Genders.ElementAt(0);
}
else
{
throw new PKSimException(PKSimConstants.Error.CouldNotFindGenderForPopulation(batchOriginData.Gender, batchOriginData.Population, population.Genders.AllNames()));
}
}
originData.Gender = gender;
//this is not defined in matlab yet
originData.SubPopulation = _originDataTask.DefaultSubPopulationFor(species);
if (originData.SpeciesPopulation.IsAgeDependent)
{
originData.Age = batchOriginData.Age;
var meanAgeParameter = _individualModelTask.MeanAgeFor(originData);
originData.Age = valueFrom(batchOriginData.Age, meanAgeParameter.Value);
originData.AgeUnit = meanAgeParameter.Dimension.BaseUnit.Name;
originData.GestationalAge = valueFrom(batchOriginData.GestationalAge, CoreConstants.NOT_PRETERM_GESTATIONAL_AGE_IN_WEEKS);
originData.GestationalAgeUnit = CoreConstants.Units.Weeks;
}
var calculationMethodCategoryForSpecies = _originDataTask.AllCalculationMethodCategoryFor(species);
foreach (var category in calculationMethodCategoryForSpecies)
{
string selectedCalculationMethod = batchOriginData.CalculationMethodFor(category.Name);
if (string.IsNullOrEmpty(selectedCalculationMethod))
{
originData.AddCalculationMethod(category.DefaultItemForSpecies(species));
}
else
{
var calculationMethod = category.AllItems().FindByName(selectedCalculationMethod);
if (calculationMethod == null)
{
throw new PKSimException(PKSimConstants.Error.CouldNotFindCalculationMethodInCategory(selectedCalculationMethod, category.Name, category.AllItems().AllNames()));
}
if (calculationMethod.AllSpecies.Contains(species.Name))
{
originData.AddCalculationMethod(calculationMethod);
}
else
{
throw new PKSimException(PKSimConstants.Error.CalculationMethodIsNotDefinedForSpecies(selectedCalculationMethod, category.Name, species.Name));
}
}
}
var meanWeightParameter = _individualModelTask.MeanWeightFor(originData);
originData.Weight = valueFrom(batchOriginData.Weight, meanWeightParameter.Value).Value;
originData.WeightUnit = meanWeightParameter.Dimension.BaseUnit.Name;
if (originData.SpeciesPopulation.IsHeightDependent)
{
var meanHeightParameter = _individualModelTask.MeanHeightFor(originData);
originData.Height = valueFrom(batchOriginData.Height, meanHeightParameter.Value);
originData.HeightUnit = meanHeightParameter.Dimension.BaseUnit.Name;
}
return(originData);
}