public void CalculateCumulativeProbabilityDistribution(CaptureState captureState)
{
// Note: cumulative histogram intervals must have previously been calculated in order to calculate cumulative probabilities
//SortedDictionary<int, decimal> _CumulativeMarkedProbabilities = new SortedDictionary<int, decimal>();
//SortedDictionary<int, decimal> _CumulativeUnmarkedProbabilities = new SortedDictionary<int, decimal>();
//_CumulativeMarkedProbabilities = new CalculateProbability(batchIntervals).GetProbabilityByPacketRange(_TrimZeroPacketIntervals, histogramBinSize);
// Get the batch intervals
BindingList<BatchIntervalMarked> unmarkedBatchIntervals = new BindingList<BatchIntervalMarked>();
BindingList<BatchIntervalMarked> markedBatchIntervals = new BindingList<BatchIntervalMarked>();
BindingList<CumulativeProbabilityDistribution> distribution = new BindingList<CumulativeProbabilityDistribution>();
//CumulativeProbabilityDistributionData cumProbDistData = new CumulativeProbabilityDistributionData();
using (var uow = new UnitOfWorkCumulativeProbability())
{
//using (var cpdRepository = new CumulativeProbabilityDistributionRepository(new UnitOfWorkCumulativeProbability()))
using (var cpdRepository = new CumulativeProbabilityDistributionRepository(uow))
{
//// Delete any existing cumulative probability distribution data for the captureState
//cumProbDistData.DeleteCumulativeProbabilityDistribution(captureState);
cpdRepository.DeleteBatch(captureState);
// Add the newly calculated cumulative probability distribution
switch (captureState)
{
case CaptureState.Marked:
if (_CumulativeMarkedProbabilities != null)
{
SortedDictionary<int, decimal> markedProbabilities = new CalculateProbability(markedBatchIntervals).GetCumulativeProbabilityDistribution(_CumulativeMarkedProbabilities);
// Convert to CumulativeProbabilityDistribution type
foreach (KeyValuePair<int, decimal> item in markedProbabilities)
{
CumulativeProbabilityDistribution cpd = new CumulativeProbabilityDistribution();
cpd.CaptureState = (int)CaptureState.Marked;
cpd.Interval = item.Key;
cpd.Probability = Math.Round(item.Value, 10);
//distribution.Add(cpd);
cpdRepository.InsertOrUpdate(cpd);
uow.Save();
}
}
//// Save to database
//cumProbDistData.InsertCumulativeProbabilityDistribution(distribution);
break;
case CaptureState.Unmarked:
if (_CumulativeUnmarkedProbabilities != null)
{
SortedDictionary<int, decimal> unmarkedProbabilities = new CalculateProbability(unmarkedBatchIntervals).GetCumulativeProbabilityDistribution(_CumulativeUnmarkedProbabilities);
// Convert to CumulativeProbabilityDistribution type
foreach (KeyValuePair<int, decimal> item in unmarkedProbabilities)
{
CumulativeProbabilityDistribution cpd = new CumulativeProbabilityDistribution();
cpd.CaptureState = (int)CaptureState.Unmarked;
cpd.Interval = item.Key;
//cpd.Probability = Convert.ToDecimal(String.Format("{0,10}", item.Value.ToString("D")));
cpd.Probability = Math.Round(item.Value, 10);
//distribution.Add(cpd);
cpdRepository.InsertOrUpdate(cpd);
uow.Save();
}
}
//// Save to database
//cumProbDistData.InsertCumulativeProbabilityDistribution(distribution);
break;
}
}
}
}
public void InsertOrUpdate(CumulativeProbabilityDistribution cumulativeprobabilitydistribution)
{
if (cumulativeprobabilitydistribution.CumulativeProbabilityDistributionId == default(int)) {
// New entity
context.CumulativeProbabilityDistributions.Add(cumulativeprobabilitydistribution);
} else {
// Existing entity
context.Entry(cumulativeprobabilitydistribution).State = System.Data.Entity.EntityState.Modified;
}
}
