//we can use directly the name of the plots as the name of the variables
//it should be enough for now
public void plotData(List<PlotViewModel> plots,string sourceOption)
{
int numLoggedSteps;
int numEpisodes = 0, fileFormatVersion = 0;
int episodeType = 0, episodeIndex = 0;
int stepIndex = 0, numVariablesLogged = 0;
bool bLastStep;
double expRealTime = 0.0, episodeSimTime = 0.0, episodeRealTime = 0.0;
List<VarPlotInfo> varInfoList = new List<VarPlotInfo>();
try
{
//init the series and get the index of each logged variable
plots.ForEach((plot) =>
{
VarPlotInfo varInfo = new VarPlotInfo();
varInfo.seriesId= plot.addLineSeries(m_name);
varInfo.varIndexInLogFile= m_variablesInLog.FindIndex((name) => name == plot.name);
varInfo.avg= 0.0;
varInfoList.Add(varInfo);
});
FileStream logFile = File.OpenRead(m_logFilePath);
using (BinaryReader binaryReader = new BinaryReader(logFile))
{
readExperimentLogHeader(binaryReader, ref numEpisodes, ref fileFormatVersion);
for (int i = 0; i < numEpisodes; i++)
{
//reset the averaged data
foreach (VarPlotInfo varInfo in varInfoList) varInfo.avg = 0.0;
readEpisodeHeader(binaryReader, ref episodeType, ref episodeIndex
, ref numVariablesLogged);
numLoggedSteps = 0;
bLastStep = readStepHeader(binaryReader, ref stepIndex
, ref expRealTime, ref episodeSimTime, ref episodeRealTime);
while (!bLastStep)
{
//do we have to draw data from this step?
if (episodeType == m_episodeTypeEvaluation &&
(sourceOption == PlotEditorWindowViewModel.m_optionAllEvalEpisodes
|| (sourceOption == PlotEditorWindowViewModel.m_optionLastEvalEpisode && episodeIndex == numEpisodes)))
{
numLoggedSteps++;
byte[] stepData = readStepData(binaryReader, m_variablesInLog.Count);
double[] doubleData = new double[m_variablesInLog.Count];
Buffer.BlockCopy(stepData, 0, doubleData, 0, (int)m_variablesInLog.Count * sizeof(double));
for (int var = 0; var < varInfoList.Count; var++ )
{
if (sourceOption == PlotEditorWindowViewModel.m_optionAllEvalEpisodes)
varInfoList[var].addValue (doubleData[varInfoList[var].varIndexInLogFile]);
else plots[var].addLineSeriesValue(varInfoList[var].seriesId, stepIndex
, doubleData[varInfoList[var].varIndexInLogFile]);
}
}
else readStepData(binaryReader, numVariablesLogged);
bLastStep = readStepHeader(binaryReader, ref stepIndex
, ref expRealTime, ref episodeSimTime, ref episodeRealTime);
}
//end of episode
if (episodeType == m_episodeTypeEvaluation && sourceOption == PlotEditorWindowViewModel.m_optionAllEvalEpisodes)
{
for (int var = 0; var < varInfoList.Count; var++ )
{
plots[var].addLineSeriesValue(varInfoList[var].seriesId, episodeIndex
, varInfoList[var].avg / (double)numLoggedSteps);
}
}
}
}
logFile.Close();
}
catch(Exception ex)
{
Console.WriteLine(ex.ToString());
}
}
//we can use directly the name of the plots as the name of the variables
//it should be enough for now
public void plotData(List <PlotViewModel> plots, string sourceOption)
{
List <VarPlotInfo> varInfoList = new List <VarPlotInfo>();
try
{
//init the series and get the index of each logged variable
plots.ForEach((plot) =>
{
VarPlotInfo varInfo = new VarPlotInfo();
varInfo.plot = plot;
varInfo.seriesId = plot.addLineSeries(m_name);
varInfo.varIndexInLogFile = m_variablesInLog.FindIndex((name) => name == plot.name);
varInfo.avg = 0.0;
varInfoList.Add(varInfo);
});
ExperimentData experimentData = SimionLogFile.load(m_logFilePath);
foreach (VarPlotInfo var in varInfoList)
{
int varIndex = var.varIndexInLogFile;
if (sourceOption == ReportsWindowViewModel.m_optionAllEvalEpisodes)
{
experimentData.doForEachEvalEpisode(episode =>
{
double avg = EpisodeData.calculateVarAvg(episode, varIndex);
var.plot.addLineSeriesValue(var.seriesId, episode.index, avg);
});
}
else if (sourceOption == ReportsWindowViewModel.m_optionLastEvalEpisode)
{
experimentData.doForEpisodeSteps(experimentData.numEpisodes,
step =>
{
var.plot.addLineSeriesValue(var.seriesId, step.stepIndex
, step.data[var.varIndexInLogFile]);
});
}
}
// EpisodeData.calculateVarAvg
// ,plots[var].addLineSeriesValue(varInfoList[var].seriesId,varIndex);
// varInfoList[var].addValue(step.data[varInfoList[var].varIndexInLogFile]);
// else plots[var].addLineSeriesValue(varInfoList[var].seriesId, step.stepIndex
// , step.data[varInfoList[var].varIndexInLogFile]);
// experimentData.doForEachEvalEpisode(EpisodeData.calculateVarAvg, varIndex);
// }
// }
// foreach (EpisodeData episodeData in experimentData.episodes)
// {
// //do we have to draw data from this step?
// if (episodeData.type == m_episodeTypeEvaluation &&
// (sourceOption == PlotEditorWindowViewModel.m_optionAllEvalEpisodes
// || (sourceOption == PlotEditorWindowViewModel.m_optionLastEvalEpisode
// && episodeData.index == experimentData.numEpisodes)))
// {
// foreach (StepData step in episodeData.steps)
// {
// for (int var = 0; var < varInfoList.Count; var++)
// {
// if (sourceOption == PlotEditorWindowViewModel.m_optionAllEvalEpisodes)
// varInfoList[var].addValue(step.data[varInfoList[var].varIndexInLogFile]);
// else plots[var].addLineSeriesValue(varInfoList[var].seriesId, step.stepIndex
// , step.data[varInfoList[var].varIndexInLogFile]);
// }
// }
// }
// }
// //end of episode
// if (episodeType == m_episodeTypeEvaluation && sourceOption == PlotEditorWindowViewModel.m_optionAllEvalEpisodes)
// {
// for (int var = 0; var < varInfoList.Count; var++ )
// {
// plots[var].addLineSeriesValue(varInfoList[var].seriesId, episodeIndex
// , varInfoList[var].avg / (double)numLoggedSteps);
// }
// }
// }
// }
// logFile.Close();
//}
//catch(Exception ex)
//{
// Console.WriteLine(ex.ToString());
//}
}
catch (Exception ex)
{
Console.WriteLine("Error generating plots");
Console.WriteLine(ex.ToString());
}
}