/// <summary>
/// Adds a (xNorm,y) value to the series of evaluations.
/// </summary>
/// <param name="xNorm">The normalized value in x (0 is the beginning and 1 the end of the experiment)</param>
/// <param name="y">The average reward obtained in this evaluation</param>
public void AddEvaluationValue(double xNorm, double y)
{
if (m_seriesId == -1) //series not yet added
{
m_seriesId = m_plotEvaluationMonitor.AddLineSeries(Name);
}
m_plotEvaluationMonitor.AddLineSeriesValue(m_seriesId, xNorm, y);
}
public ReportViewModel(List <TrackGroup> queryResultTracks, LogQueryViewModel query, Report report)
{
Name = report.Name;
//Create the plot
PlotViewModel newPlot = new PlotViewModel(report.Name, "Time (s)", report.Name, false, true);
//Create the stats
StatsViewModel newStatGroup = new StatsViewModel(report.Name);
foreach (TrackGroup group in queryResultTracks)
{
//plot data
if (group.ConsolidatedTrack != null)
{
SeriesGroup seriesGroup = group.ConsolidatedTrack.SeriesGroups[report];
foreach (Series series in seriesGroup.SeriesList)
{
string seriesName;
string description;
if (seriesGroup.SeriesList.Count == 1)
{
//only one series per track group, no multi-series track group
seriesName = group.ConsolidatedTrack.TrackId;
description = group.ConsolidatedTrack.FullTrackId;
}
else
{
seriesName = group.ConsolidatedTrack.TrackId + "-" + series.Id;
description = group.ConsolidatedTrack.FullTrackId + "-" + series.Id;
}
//add data to the plot
int lineSeriesId = newPlot.AddLineSeries(seriesName, description);
foreach (XYValue value in series.Values)
{
newPlot.AddLineSeriesValue(lineSeriesId, value.X, value.Y);
}
StatViewModel newStat =
new StatViewModel(group.ExperimentId, seriesName, series.Stats
, group.ConsolidatedTrack.LogBinaryFile
, group.ConsolidatedTrack.LogDescriptorFile
, group.ConsolidatedTrack.ExperimentalUnitConfigFile);
newStatGroup.addStat(newStat);
}
}
}
Plot = newPlot;
Stats = newStatGroup;
}
public void OnMessageReceived(string experimentId, string messageId, string messageContent)
{
MonitoredExperimentalUnitViewModel experimentVM = ViewModelFromName[experimentId];
if (experimentVM == null)
{
m_logFunction?.Invoke("Could not find the View-Model for experiment " + experimentId);
}
else
{
experimentVM.LastHeartbeat = DateTime.Now;
LastHeartbeat = DateTime.Now;
switch (messageId)
{
case JobDispatcher.ProgressMessage:
double progress = double.Parse(messageContent, CultureInfo.InvariantCulture);
experimentVM.Progress = Convert.ToInt32(progress);
break;
case JobDispatcher.EvaluationMessage:
//<Evaluation>0.0,-1.23</Evaluation>
string[] values = messageContent.Split(',');
string seriesName = experimentVM.Name;
int seriesId;
if (values.Length == 2)
{
if (!m_experimentSeriesId.Keys.Contains(experimentVM.Name))
{
seriesId = m_evaluationPlot.AddLineSeries(seriesName);
m_experimentSeriesId.Add(seriesName, seriesId);
}
else
{
seriesId = m_experimentSeriesId[seriesName];
}
m_evaluationPlot.AddLineSeriesValue(seriesId, double.Parse(values[0], CultureInfo.InvariantCulture)
, double.Parse(values[1], CultureInfo.InvariantCulture));
}
break;
case JobDispatcher.GeneralMessage:
experimentVM.AddStatusInfoLine(messageContent);
break;
case JobDispatcher.EndMessage:
if (messageContent == JobDispatcher.EndMessageOk || messageContent == "")
{
m_logFunction?.Invoke("Job finished sucessfully");
experimentVM.State = Monitoring.State.WAITING_RESULT;
}
else
{
m_logFunction?.Invoke("Remote job execution wasn't successful");
//Right now, my view on adding failed experiments back to the pending exp. list:
//Some experiments may fail because the parameters are just invalid (i.e. FAST)
//Much more likely than a network-related error or some other user-related problem
//FailedExperiments.Add(experimentVM);
experimentVM.State = Monitoring.State.ERROR;
}
break;
}
}
}
public ReportViewModel(List <TrackGroup> queryResultTracks, LogQueryViewModel query, Report report)
{
Name = report.Name;
//Create the plot
PlotViewModel newPlot = new PlotViewModel(report.Name, "Time (s)", report.Name, false, true);
if (!query.AverageSelectedTracks)
{
//Create the stats
StatsViewModel newStatGroup = new StatsViewModel(report.Name);
//Regular line series
foreach (TrackGroup group in queryResultTracks)
{
if (group.ConsolidatedTrack != null)
{
SeriesGroup seriesGroup = group.ConsolidatedTrack.SeriesGroups[report];
foreach (Series series in seriesGroup.SeriesList)
{
string seriesName;
string description;
if (seriesGroup.SeriesList.Count == 1)
{
//only one series per track group, no multi-series track group
seriesName = group.ConsolidatedTrack.TrackId;
description = group.ConsolidatedTrack.FullTrackId;
}
else
{
seriesName = group.ConsolidatedTrack.TrackId + "-" + series.Id;
description = group.ConsolidatedTrack.FullTrackId + "-" + series.Id;
}
//add data to the plot
int lineSeriesId = newPlot.AddLineSeries(seriesName, description);
//force resampling if point count is over 100
if (series.Values.Count > 100)
{
series.Resample(100);
}
foreach (XYValue value in series.Values)
{
newPlot.AddLineSeriesValue(lineSeriesId, value.X, value.Y);
}
StatViewModel newStat =
new StatViewModel(group.ExperimentId, seriesName, series.Stats
, group.ConsolidatedTrack.LogBinaryFile
, group.ConsolidatedTrack.LogDescriptorFile
, group.ConsolidatedTrack.ExperimentalUnitConfigFile);
newStatGroup.addStat(newStat);
}
}
}
Stats = newStatGroup;
}
else
{
List <Series> originalSeries = new List <Series>();
foreach (TrackGroup group in queryResultTracks)
{
//Averaged line series: we need to average all the track groups
SeriesGroup seriesGroup = group.ConsolidatedTrack.SeriesGroups[report];
//take the first series
originalSeries.Add(seriesGroup.SeriesList[0]);
}
Series.AverageSeriesList(originalSeries, out Series averages, out Series minimums, out Series maximums);
//only one series per track group, no multi-series track group
string seriesName = "Averaged series";
string description = "Averaged series";
//add a line series to the plot
int lineSeriesId = newPlot.AddLineSeries(seriesName, description);
int areaSeriesId = newPlot.AddAreaSeries(seriesName, description);
//all three output series must have the same number of elements
int sampleCount = averages.Values.Count;
for (int sample = 0; sample < sampleCount; sample++)
{
newPlot.AddLineSeriesValue(lineSeriesId, averages.Values[sample].X, averages.Values[sample].Y);
newPlot.AddAreaSeriesValue(areaSeriesId, averages.Values[sample].X, minimums.Values[sample].Y, maximums.Values[sample].Y);
}
}
Plot = newPlot;
}