private void UpdateAtIndex(int index)
{
ScoreSummary summary = this.ratingSummariesToUpdate[index];
this.interpolator.RemoveDatapoint(summary);
summary.Update(this.ratingSummarizer);
this.interpolator.AddDatapoint(summary);
}
// specifies that at <when> , the input coordinates were <coordinates> and that this is a datapoint we care to track
public void AddDatapoint(DateTime when, LazyInputs coordinates)
{
ScoreSummary summary = new ScoreSummary(when);
summary.Inputs = coordinates;
summary.Update(this.ratingSummarizer);
if (this.ShouldIncludeSummary(summary))
{
this.interpolator.AddDatapoint(summary);
this.ratingSummariesToUpdate.Add(summary);
}
}
public void UpdateRatingsPlot()
{
DateTime start = DateTime.Now;
if (!this.queryStartDateDisplay.IsDateValid() || !this.queryEndDateDisplay.IsDateValid())
{
return;
}
// draw the RatingProgression
RatingProgression ratingProgression = this.yAxisActivity.RatingProgression;
List <AbsoluteRating> ratings = ratingProgression.GetRatingsInDiscoveryOrder();
DateTime startDate = this.queryStartDateDisplay.GetDate();
DateTime endDate = this.queryEndDateDisplay.GetDate();
List <Datapoint> points = new List <Datapoint>();
// make a plot
PlotView newPlot = new PlotView();
newPlot.MinX = 0;
newPlot.MaxX = endDate.Subtract(startDate).TotalDays;
newPlot.MinY = 0;
newPlot.MaxY = 1;
if (this.xAxisProgression != null)
{
this.configureXAxisSubdivisions(newPlot);
}
newPlot.YAxisSubdivisions = new List <double> {
0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1
};
// compute the rating at each relevant date
foreach (AbsoluteRating rating in ratings)
{
if (rating.Date != null)
{
double x = this.GetXCoordinate((DateTime)rating.Date);
// calculate y
double y = rating.Score;
// make sure we want to include it in the plot (and therefore the regression line)
if (x >= newPlot.MinX && x <= newPlot.MaxX)
{
points.Add(new Datapoint(x, y, 1));
}
}
}
newPlot.AddSeries(points, this.showRatingsTrend, this.showRatings, 0);
// compute a smoothed version of the ratings so we can show which activities are actually worth doing
// (for example, sleeping might feel boring but might increase later happiness)
TimeSpan totalDuration = endDate.Subtract(startDate);
List <ScoreSummarizer> ratingSummarizers = new List <ScoreSummarizer>();
ratingSummarizers.Add(this.overallRating_summarizer);
ratingSummarizers.Add(this.overallEfficiency_summarizer);
foreach (ExponentialRatingSummarizer ratingSummarizer in ratingSummarizers)
{
double i;
ScoreSummary ratingSummary = new ScoreSummary(endDate);
List <Datapoint> smoothedRatings = new List <Datapoint>();
double maxY = 0;
for (i = 1; i >= 0; i -= 0.001)
{
TimeSpan currentDuration = new TimeSpan((long)((double)totalDuration.Ticks * (double)i));
DateTime when = startDate.Add(currentDuration);
if (when.CompareTo(ratingSummarizer.EarliestKnownDate) < 0)
{
break;
}
ratingSummary.Update(ratingSummarizer, when, endDate);
if (ratingSummary.Item.Weight > 0)
{
double x = this.GetXCoordinate(when);
double y = ratingSummary.Item.Mean;
if (!double.IsNaN(y))
{
if (ratingSummarizer == this.overallEfficiency_summarizer)
{
// rescale so that the typical value for this rating summarizer (1) is moved to match the typical value for the other plotted values (0.5)
y /= 2;
}
if (y > maxY)
{
maxY = y;
}
smoothedRatings.Add(new Datapoint(x, y, 1));
}
}
}
smoothedRatings.Reverse();
// if the plot overflowed, rescale it to fit
if (maxY > 1)
{
foreach (Datapoint datapoint in smoothedRatings)
{
datapoint.Output = datapoint.Output / maxY;
}
}
if (ratingSummarizer == this.overallRating_summarizer)
{
newPlot.AddSeries(smoothedRatings, false, this.showOverallHappiness, 2);
}
else
{
newPlot.AddSeries(smoothedRatings, this.showEfficiencyTrend, this.showEfficiency, 3);
}
}
DateTime end = DateTime.Now;
this.ratingsView.SetContent(new ImageLayout(newPlot, LayoutScore.Get_UsedSpace_LayoutScore(1)));
System.Diagnostics.Debug.WriteLine("spent " + end.Subtract(start) + " to update ratings plot");
}
private bool ShouldIncludeSummary(ScoreSummary summary)
{
return(summary.Item.Weight > 0);
}