public void CalculateBaseStatisticsTest()
{
// Arrange
// Create a sequence of 10 intervals with packet counts 100, 200, 300, ..., 1000
BindingList<BatchIntervalMarked> batchIntervals = new BindingList<BatchIntervalMarked>();
for (int i = 0; i < 10; i++)
{
BatchIntervalMarked bim = new BatchIntervalMarked();
bim.BatchIntervalId = i;
bim.CaptureBatchId = 0;
bim.IntervalNumber = i + 1;
bim.PacketCount = (i + 1) * 100;
bim.Marked = CaptureState.Unknown;
batchIntervals.Add(bim);
}
int expectedCount = 10;
int expectedMean = 550;
int expectedMin = 100;
int expectedMax = 1000;
decimal expectedVar = 91666.667M;
decimal expectedStdDev = 302.765M;
// Act
BaseStatistics bs = new BaseStatistics(batchIntervals);
// Assert
Assert.AreEqual(bs.Count, expectedCount);
Assert.AreEqual(Convert.ToDecimal(bs.Mean), expectedMean);
Assert.AreEqual(bs.Minimum, expectedMin);
Assert.AreEqual(bs.Maximum, expectedMax);
Assert.AreEqual(Convert.ToDecimal(Math.Round(bs.Variance,3)), expectedVar);
Assert.AreEqual(Convert.ToDecimal(Math.Round(bs.StdDev,3)), expectedStdDev);
}
public BatchStatistics CalculateBatchStatistics(BindingList<BatchIntervalMarked> batchIntervals, CaptureState captureState, BatchType batchType)
{
decimal batchIntervalsMean = 0;
decimal batchIntervalsTrimmedMean = 0;
// Trim zero packets from the batch interval
BindingList<BatchIntervalMarked> batchIntervalsTrimmed = new BindingList<BatchIntervalMarked>();
foreach (BatchIntervalMarked bim in batchIntervals)
{
if (bim.PacketCount > AnalysisConfiguration.HistogramBinSize)
{
batchIntervalsTrimmed.Add(bim);
}
}
// Calculate statistics for the batch
BatchStatistics bs = new BatchStatistics();
if (AnalysisConfiguration.TrimSmallPackets)
{
BaseStatistics stats = new BaseStatistics(batchIntervalsTrimmed);
bs.IntervalCountTrimmed = stats.Count;
bs.PacketCountMaximum = stats.Maximum;
bs.PacketCountMinimum = stats.Minimum;
bs.PacketCountMean = stats.Mean;
bs.PacketCountStandardDeviation = stats.StdDev;
// Calculate both means for updating the capture batch intervals
batchIntervalsTrimmedMean = stats.Mean;
batchIntervalsMean = Convert.ToDecimal((from t in batchIntervals select t.PacketCount).Average());
// Get both counts for the batch
bs.IntervalCountTrimmed = stats.Count < 0 ? 0 : stats.Count;
bs.IntervalCount = batchIntervals.Count < 0 ? 0 : batchIntervals.Count;
}
else
{
BaseStatistics stats = new BaseStatistics(batchIntervals);
bs.IntervalCount = stats.Count;
bs.PacketCountMaximum = stats.Maximum;
bs.PacketCountMinimum = stats.Minimum;
bs.PacketCountMean = stats.Mean;
bs.PacketCountStandardDeviation = stats.StdDev;
// Calculate both means for updating the capture batch intervals
batchIntervalsMean = bs.PacketCountMean;
batchIntervalsTrimmedMean = Convert.ToDecimal((from t in batchIntervalsTrimmed select t.PacketCount).Average());
// Get both counts for the batch
bs.IntervalCount = stats.Count < 0 ? 0 : stats.Count;
bs.IntervalCountTrimmed = batchIntervalsTrimmed.Count < 0 ? 0 : batchIntervalsTrimmed.Count;
}
// Update the batch mean - only for single batches, not cumulative batches
CurrentCaptureFile captureFile = new CurrentCaptureFile();
ProcessCapturePackets pcp = new ProcessCapturePackets();
captureFile = pcp.GetCurrentCaptureFile(_CaptureFileName);
int captureBatchId = captureFile.CaptureBatchId;
if (batchType == BatchType.Single && captureBatchId != 0)
{
try
{
//ProcessCapturePackets pcp = new ProcessCapturePackets();
//if (!pcp.UpdateBatchMean(Convert.ToInt32(captureBatchId), bs.PacketCountMean))
if (!pcp.UpdateBatchMean(Convert.ToInt32(captureBatchId), batchIntervalsMean, batchIntervalsTrimmedMean))
{
throw new Exception("Error updating batch mean for CaptureBatchId " + captureBatchId);
}
}
catch (Exception ex)
{
throw new Exception("Error updating batch mean for CaptureBatchId " + captureBatchId + ": " + ex.Message);
}
}
// Save the statistics to the database for display on the Analysis tab (save to DisplayStatistics table)
SaveDisplayStatistics(bs, captureBatchId, captureState, batchType, true);
return bs;
}
