//for now, it doesn't make much sense to calculate stats but from the last evaluation episode, so that's what we will do
//regardless of sourceOption
public List <Stat> getVariableStats(List <LoggedVariableViewModel> variables)
{
ExperimentData experimentData = SimionLogFile.load(m_logFilePath);
List <Stat> stats = new List <Stat>();
foreach (LoggedVariableViewModel var in variables)
{
int varIndex = m_variablesInLog.FindIndex((name) => name == var.name);
Stat newStat = new Stat(m_name, var.name);
newStat.avg = experimentData.doForEpisodeVar(experimentData.numEpisodes, varIndex,
(episode, vIndex) => { return(EpisodeData.calculateVarAvg(episode, vIndex)); });
newStat.stdDev = experimentData.doForEpisodeVar(experimentData.numEpisodes, varIndex,
(episode, vIndex) => { return(EpisodeData.calculateStdDev(episode, vIndex)); });
newStat.min = experimentData.doForEpisodeVar(experimentData.numEpisodes, varIndex,
(episode, vIndex) => { return(EpisodeData.calculateMin(episode, vIndex)); });
newStat.max = experimentData.doForEpisodeVar(experimentData.numEpisodes, varIndex,
(episode, vIndex) => { return(EpisodeData.calculateMax(episode, vIndex)); });
stats.Add(newStat);
}
return(stats);
}
//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());
}
}
