/// <summary>
/// Generate CSV data (Probably not the most efficient way, e.g. How big can this become).
/// </summary>
/// <param name="reader"></param>
private void WriteStatisticsToFile(CSVMetricReader reader)
{
var statisticsFilePath = $"{Configuration.RunId}-Statistics.csv";
var statisticsTable = new DataTable();
var col0_testName = statisticsTable.AddColumn("Test Name");
var col1_metric = statisticsTable.AddColumn("Metric");
var col2_iterations = statisticsTable.AddColumn("Iterations");
var col3_average = statisticsTable.AddColumn("Average");
var col4_stdevs = statisticsTable.AddColumn("Sample standard deviation");
var col5_min = statisticsTable.AddColumn("Minimum");
var col6_max = statisticsTable.AddColumn("Maximum");
foreach (var testCaseName in reader.TestCases)
{
List<Dictionary<string, double>> iterations = reader.GetValues(testCaseName);
var measurements = new Dictionary<string, List<double>>();
foreach (var dict in iterations)
{
foreach (var pair in dict)
{
if (!measurements.ContainsKey(pair.Key))
measurements[pair.Key] = new List<double>();
measurements[pair.Key].Add(pair.Value);
}
}
foreach (var measurement in measurements)
{
var metric = measurement.Key;
var count = measurement.Value.Count;
var avg = measurement.Value.Average();
var stdev_s = Math.Sqrt(measurement.Value.Sum(x => Math.Pow(x - avg, 2)) / (measurement.Value.Count - 1));
var max = measurement.Value.Max();
var min = measurement.Value.Min();
var r = statisticsTable.AppendRow();
r[col0_testName] = testCaseName;
r[col1_metric] = metric;
r[col2_iterations] = count.ToString();
r[col3_average] = avg.ToString();
r[col4_stdevs] = stdev_s.ToString();
r[col5_min] = min.ToString();
r[col6_max] = max.ToString();
}
}
statisticsTable.WriteToCSV(statisticsFilePath);
Console.WriteLine($"\nStatistics written to \"{statisticsFilePath}\"\n");
}
private void ProcessResults()
{
CSVMetricReader reader = new CSVMetricReader(Configuration.FileLogPath);
WriteStatisticsToFile(reader);
}