void Run(string[] args)
{
// Read the command line
if (args.Length < 1)
{
WriteLine("Invalid args");
WriteLine(formatString);
return;
}
ReadCommandLine(args);
string csvOutFilename = GetArg("o", false);
if (csvOutFilename.Length == 0)
{
WriteLine("Missing -o arg");
WriteLine(formatString);
return;
}
// Set the title
string title = GetArg("title", false);
if (title.Length == 0)
{
title = MakeShortFilename(csvOutFilename).ToLower().Replace(".csv", "");
}
char c = title[0];
c = char.ToUpper(c);
title = c + title.Substring(1);
string filterOutlierStat = GetArg("filterOutlierStat", false);
float filterOutlierThreshold = GetFloatArg("filterOutlierThreshold", 1000.0f);
// Whether or not we want stats to be averaged rather than appended
bool bAverage = GetBoolArg("avg");
string csvDir = GetArg("csvDir");
string csvFilenamesStr = GetArg("csvs", false);
if (csvDir == null && csvFilenamesStr == null)
{
WriteLine("-csvs or -csvdir is required");
WriteLine(formatString);
return;
}
string searchPattern = GetArg("searchPattern", null);
if (csvFilenamesStr.Contains("*"))
{
// If passed a wildcard to -csvs, this is equivalent to -csvdir . -searchpattern <csvs>
if (csvDir != null && csvDir != "")
{
throw new Exception("Can't use -csvs with -csvdir");
}
csvDir = ".";
searchPattern = csvFilenamesStr;
}
// Read CSV filenames from a directory or list
string[] csvFilenames;
if (csvDir.Length > 0)
{
if (searchPattern == null)
{
searchPattern = "*.csv";
}
DirectoryInfo di = new DirectoryInfo(csvDir);
bool bRecurse = GetBoolArg("recurse");
var files = di.GetFiles(searchPattern, bRecurse ? SearchOption.AllDirectories : SearchOption.TopDirectoryOnly);
csvFilenames = new string[files.Length];
int i = 0;
foreach (FileInfo csvFile in files)
{
csvFilenames[i] = csvFile.FullName;
i++;
}
}
else
{
if (csvFilenamesStr.Length == 0)
{
System.Console.Write(formatString);
return;
}
csvFilenames = csvFilenamesStr.Split(';');
}
Console.WriteLine("Collating " + csvFilenames.Length + " csvs:");
foreach (string csvFilename in csvFilenames)
{
Console.WriteLine(" " + csvFilename);
}
Console.WriteLine("");
CsvStats combinedCsvStats = new CsvStats();
string metadataFilterString = GetArg("metadataFilter", null);
List <int> frameCsvCounts = new List <int>();
List <string> allCsvFilenames = new List <string>();
int csvIndex = 0;
foreach (string csvFilename in csvFilenames)
{
CsvStats srcCsvStats = CsvStats.ReadCSVFile(csvFilename, null);
// Check for outliers
bool skip = false;
if (filterOutlierStat != null)
{
StatSamples outlierStat = srcCsvStats.GetStat(filterOutlierStat);
if (outlierStat != null)
{
foreach (float sample in outlierStat.samples)
{
if (sample > filterOutlierThreshold)
{
WriteLine("CSV " + csvFilename + " ignored due to bad " + filterOutlierStat + " value: " + sample);
skip = true;
break;
}
}
}
}
if (metadataFilterString != null)
{
if (srcCsvStats.metaData == null || !CsvStats.DoesMetadataMatchFilter(srcCsvStats.metaData, metadataFilterString))
{
WriteLine("Skipping CSV " + csvFilename + " due to metadata filter");
skip = true;
}
}
if (skip)
{
continue;
}
// Add the CSV filename as the first event if we're not averaging
if (!bAverage)
{
CsvEvent firstEvent = new CsvEvent();
firstEvent.Frame = 0;
firstEvent.Name = "CSV:" + MakeShortFilename(csvFilename).Replace(' ', '_').Replace(',', '_').Replace('\n', '_');
srcCsvStats.Events.Insert(0, firstEvent);
}
// Combine the stats
if (csvIndex == 0)
{
combinedCsvStats = srcCsvStats;
}
else
{
CsvMetadata metadataA = combinedCsvStats.metaData;
CsvMetadata metadataB = srcCsvStats.metaData;
// If there is metadata, it should match
if (metadataA != null || metadataB != null)
{
metadataA.CombineAndValidate(metadataB);
}
combinedCsvStats.Combine(srcCsvStats, bAverage, false);
}
// If we're computing the average, update the counts for each frame
if (bAverage)
{
// Resize frameCsvCounts if necessary
for (int i = frameCsvCounts.Count; i < combinedCsvStats.SampleCount; i++)
{
frameCsvCounts.Add(0);
}
for (int i = 0; i < srcCsvStats.SampleCount; i++)
{
frameCsvCounts[i] += 1;
}
}
allCsvFilenames.Add(Path.GetFileName(csvFilename));
csvIndex++;
WriteLine("Csvs Processed: " + csvIndex + " / " + csvFilenames.Length);
}
if (bAverage)
{
// Divide all samples by the total number of CSVs
foreach (StatSamples stat in combinedCsvStats.Stats.Values)
{
for (int i = 0; i < stat.samples.Count; i++)
{
stat.samples[i] /= (float)(frameCsvCounts[i]);
}
}
// Add a stat for the csv count
string csvCountStatName = "csvCount";
if (!combinedCsvStats.Stats.ContainsKey(csvCountStatName))
{
StatSamples csvCountStat = new StatSamples(csvCountStatName);
foreach (int count in frameCsvCounts)
{
csvCountStat.samples.Add((int)count);
}
combinedCsvStats.Stats.Add(csvCountStatName, csvCountStat);
}
if (combinedCsvStats.metaData != null)
{
// Add some metadata
combinedCsvStats.metaData.Values.Add("Averaged", allCsvFilenames.Count.ToString());
combinedCsvStats.metaData.Values.Add("SourceFiles", string.Join(";", allCsvFilenames));
}
}
combinedCsvStats.ComputeAveragesAndTotal();
// Write the csv stats to a CSV
combinedCsvStats.WriteToCSV(csvOutFilename);
}
void Run(string[] args)
{
// Read the command line
if (args.Length < 1)
{
WriteLine("Invalid args");
WriteLine(formatString);
return;
}
ReadCommandLine(args);
string csvOutFilename = GetArg("o", false);
if (csvOutFilename.Length == 0)
{
WriteLine("Missing -o arg");
WriteLine(formatString);
return;
}
// Set the title
string title = GetArg("title", false);
if (title.Length == 0)
{
title = MakeShortFilename(csvOutFilename).ToLower().Replace(".csv", "");
}
char c = title[0];
c = char.ToUpper(c);
title = c + title.Substring(1);
string filterOutlierStat = GetArg("filterOutlierStat", false);
float filterOutlierThreshold = GetFloatArg("filterOutlierThreshold", 1000.0f);
// Whether or not we want stats to be averaged rather than appended
bool bAverage = GetBoolArg("avg");
// Read CSV filenames from a directory or list
string[] csvFilenames;
string csvDir = GetArg("csvDir");
if (csvDir.Length > 0)
{
DirectoryInfo di = new DirectoryInfo(csvDir);
var files = di.GetFiles("*.csv", SearchOption.AllDirectories);
csvFilenames = new string[files.Length];
int i = 0;
foreach (FileInfo csvFile in files)
{
csvFilenames[i] = csvFile.FullName;
i++;
}
}
else
{
string csvFilenamesStr = GetArg("csvs", true);
if (csvFilenamesStr.Length == 0)
{
System.Console.Write(formatString);
return;
}
csvFilenames = csvFilenamesStr.Split(';');
}
CsvStats combinedCsvStats = new CsvStats();
// List of stats to be averaged
//CsvStats[] statsToAvg = new CsvStats[csvFilenames.Length];
// Read all the CSVs into one big CSVStats class
List <int> frameCsvCounts = new List <int>();
List <string> allCsvFilenames = new List <string>();
int csvIndex = 0;
foreach (string csvFilename in csvFilenames)
{
CsvStats srcCsvStats = CsvStats.ReadCSVFile(csvFilename, null);
// Check for outliers
bool skip = false;
if (filterOutlierStat != null)
{
StatSamples outlierStat = srcCsvStats.GetStat(filterOutlierStat);
if (outlierStat != null)
{
foreach (float sample in outlierStat.samples)
{
if (sample > filterOutlierThreshold)
{
WriteLine("CSV " + csvFilename + " ignored due to bad " + filterOutlierStat + " value: " + sample);
skip = true;
break;
}
}
}
}
if (skip)
{
continue;
}
// Add the CSV filename as the first event if we're not averaging
if (!bAverage)
{
CsvEvent firstEvent = new CsvEvent();
firstEvent.Frame = 0;
firstEvent.Name = "CSV:" + MakeShortFilename(csvFilename).Replace(' ', '_').Replace(',', '_').Replace('\n', '_');
srcCsvStats.Events.Insert(0, firstEvent);
}
// Combine the stats
if (csvIndex == 0)
{
combinedCsvStats = srcCsvStats;
}
else
{
CsvMetadata metadataA = combinedCsvStats.metaData;
CsvMetadata metadataB = srcCsvStats.metaData;
// If there is metadata, it should match
if (metadataA != null || metadataB != null)
{
metadataA.CombineAndValidate(metadataB);
}
combinedCsvStats.Combine(srcCsvStats, bAverage, false);
if (bAverage)
{
// Resize the framecount array to match
for (int i = frameCsvCounts.Count; i < combinedCsvStats.SampleCount; i++)
{
frameCsvCounts.Add(0);
}
for (int i = 0; i < srcCsvStats.SampleCount; i++)
{
frameCsvCounts[i] += 1;
}
}
}
allCsvFilenames.Add(Path.GetFileName(csvFilename));
WriteLine("Csvs Processed: " + csvIndex + " / " + csvFilenames.Length);
csvIndex++;
}
if (bAverage)
{
// Divide all samples by the total number of CSVs
foreach (StatSamples stat in combinedCsvStats.Stats.Values)
{
for (int i = 0; i < stat.samples.Count; i++)
{
stat.samples[i] /= (float)(frameCsvCounts[i]);
}
}
// Add a stat for the csv count
string csvCountStatName = "csvCount";
if (!combinedCsvStats.Stats.ContainsKey(csvCountStatName))
{
StatSamples csvCountStat = new StatSamples(csvCountStatName);
foreach (int count in frameCsvCounts)
{
csvCountStat.samples.Add((int)count);
}
combinedCsvStats.Stats.Add(csvCountStatName, csvCountStat);
}
if (combinedCsvStats.metaData != null)
{
// Add some metadata
combinedCsvStats.metaData.Values.Add("Averaged", allCsvFilenames.Count.ToString());
combinedCsvStats.metaData.Values.Add("SourceFiles", string.Join(";", allCsvFilenames));
}
}
combinedCsvStats.ComputeAveragesAndTotal();
// Write the csv stats to a CSV
combinedCsvStats.WriteToCSV(csvOutFilename);
}