public static void Process(Culture culture, ref float maxTime, ref float minOD, ref float maxOD, float blankValue, bool doFit, string trueODCalibartionFunction, RateTraitExtractionMethod rateTraitExtractionMethod, bool skipMonotonicFilter)
{
ProcessData(culture, blankValue, doFit, trueODCalibartionFunction, skipMonotonicFilter);
UpdateMaximums(culture, ref maxTime, ref maxOD, ref minOD);
ExtractTraits(culture, rateTraitExtractionMethod);
}
public static void Process(Culture culture, ref float maxTime, ref float minOD, ref float maxOD, float blankValue, bool doFit, float calibrationCoefA, float calibrationCoefB, float calibrationCoefC, RateTraitExtractionMethod rateTraitExtractionMethod, bool skipMonotonicFilter = false)
{
var trueODCalibartionFunction = SetCalibrationFunction(calibrationCoefA, calibrationCoefB, calibrationCoefC);
ProcessData(culture, blankValue, doFit, trueODCalibartionFunction, skipMonotonicFilter);
UpdateMaximums(culture, ref maxTime, ref maxOD, ref minOD);
ExtractTraits(culture, rateTraitExtractionMethod);
}
private static void ExtractTraits(Culture culture, RateTraitExtractionMethod rateTraitExtractionMethod)
{
const bool getRawMetada = false;
double lag;
double yield;
double gt;
var qIdx = new QualityIndex();
var processed = culture.GrowthMeasurements.GetMeasurements(DataType.Processed);
if (Modules.NoGrowth(processed))
{
lag = 48;
yield = double.NaN;
gt = double.NaN;
}
else
{
var metaData = new GrowthVariableMetaData();
var macroLagData = Modules.GetLag(processed);
lag = macroLagData.Lag;
metaData.Lag = macroLagData.InterceptStretchs;
var macroYieldData = Modules.GetYield(processed);
yield = macroYieldData.Yield;
metaData.Yield = macroYieldData.YieldAnchors;
//var macroRateData = Modules.GetGtSim(processed);
MacroRateData macroRateData;
switch (rateTraitExtractionMethod)
{
case RateTraitExtractionMethod.Default:
macroRateData = Modules.GetGT(processed);
break;
case RateTraitExtractionMethod.LinearRegression:
macroRateData = Modules.GetGTLinearRegression(processed);
break;
default:
throw new ArgumentOutOfRangeException(nameof(rateTraitExtractionMethod), rateTraitExtractionMethod, null);
}
gt = macroRateData.GT;
metaData.Rate = macroRateData.RateSlopeAnchors;
qIdx = Modules.GetQualityIndex(culture, DataType.Raw);
culture.GrowthMeasurements.SetMetaData(DataType.Processed, metaData);
if (getRawMetada)
{
var raw = culture.GrowthMeasurements.GetMeasurements(DataType.Raw);
var rawMetaData = new GrowthVariableMetaData();
var rawMacroLagData = Modules.GetLag(raw);
rawMetaData.Lag = rawMacroLagData.InterceptStretchs;
var rawMacroYieldData = Modules.GetYield(raw);
rawMetaData.Yield = rawMacroYieldData.YieldAnchors;
var rawMacroRateData = Modules.GetGT(raw);
rawMetaData.Rate = rawMacroRateData.RateSlopeAnchors;
culture.GrowthMeasurements.SetMetaData(DataType.Raw, rawMetaData);
}
}
culture.Lag = lag;
culture.Rate = gt;
culture.Yield = yield;
culture.QualityIndex = qIdx;
}
