//c'tor
public GraphVM(FlightDetectorModel fdm)
{
this.fdm = fdm;
this.prevLineIndex = 0;
AnomaliesPoints = new List <List <DataPoint> >();
for (int i = 0; i < 42; i++)
{
AnomaliesPoints.Add(new List <DataPoint>());
}
AnomaliesPointsSpecificFeature = new List <DataPoint>();
this.fdm.PropertyChanged +=
delegate(Object sender, PropertyChangedEventArgs e)
{
//if the propreties have changed
if (e.PropertyName == "PropertyNames")
{
PropertyIndexes = new List <PropertyIndex>();
int counter = 0;
//pass on each proprety name and create propertyIndex according to it's index and name
foreach (var item in this.fdm.PropertyNames)
{
PropertyIndex propertyIndex = new PropertyIndex();
propertyIndex.Name = item;
propertyIndex.Id = counter++;
PropertyIndexes.Add(propertyIndex);
}
}
//if the values have changed
if (e.PropertyName == "AnomalyPropertyValues")
{
List <float> valuesGraph = fdm.AnomalyPropertyValues[0];
Points = new List <DataPoint>();
DateTime date = new DateTime(2020, 3, 26, 0, 0, 0);
//create data points aacording to the time and value
foreach (var item in valuesGraph)
{
Points.Add(new DataPoint(DateTimeAxis.ToDouble(date), item));
date = date.AddMinutes(1);
}
List <float> correlatedPropretyGraph = fdm.AnomalyPropertyValues[0];
CorrelatedPoints = new List <DataPoint>();
foreach (var item in correlatedPropretyGraph)
{
CorrelatedPoints.Add(new DataPoint(DateTimeAxis.ToDouble(date), item));
date = date.AddMinutes(1);
}
List <float> regLinePropretyGraph = fdm.AnomalyPropertyValues[0];
RegPoints = new List <DataPoint>();
for (int i = 0; i < correlatedPropretyGraph.Count; i++)
{
RegPoints.Add(new DataPoint(valuesGraph[i], correlatedPropretyGraph[i]));
date = date.AddMinutes(1);
}
RegLinePoints = new List <DataPoint>();
}
//if the values have changed
if (e.PropertyName == "LineToTransmit")
{
//update the values proprety that is chosen at the list box
this.currenLineIndex = fdm.LineToTransmit;
if (pressed)
{
INotifyPropertyChanged("UpdateGraph");
}
}
if (e.PropertyName == "AnomaliesList")
{
//update the anomalies
updateAnomaliesPoints();
}
if (e.PropertyName == "CorrlativeCircles")
{
//update the cireles
if (pressed)
{
this.drawCircle = true;
updateCircels();
INotifyPropertyChanged("UpdateCircele");
}
}
};
this.fdm.readXml();
this.fdm.readAnomalyCsv();
this.fdm.readNormalCsv();
this.mcf = new MostCorrelativeFinder(fdm.NormalPropertyValues);
this.minCorrelatedPointsXValue = new List <float>();
this.maxCorrelatedPointsXValue = new List <float>();
//List<int> cor = mcf.CorrlatedColumns;
//printCor(cor);
updateMinMaxValues();
// updateAnomaliesPoints();
}
// change proprety and show it's values at the graph
public void changeValues(PropertyIndex property)
{
//update every 3 rows
int lineDiff = 3;
long lineToCopy = 0;
int idxOfMostCorrelative = mcf.findTheMostCorrelative(fdm.NormalPropertyValues, property.Id);
// Line regLine = mcf.linearRegressionList[idxOfMostCorrelative];
Line regLine = mcf.linearRegressionList[property.Id];
//List<int> cor = mcf.CorrlatedColumns;
//check if we need update
if (Math.Abs(this.currenLineIndex - this.prevLineIndex) >= lineDiff)
{
//update the cuurent line
this.prevLineIndex = currenLineIndex;
lineToCopy = currenLineIndex;
}
else
{
lineToCopy = prevLineIndex;
}
//all values of the current feature column
List <float> AllData = fdm.AnomalyPropertyValues[property.Id];
//the relevant points need to be shown at the graph
List <float> valuesGraph = new List <float>();
//all values of the current correlative feature
List <float> correlatedPropretyData = fdm.AnomalyPropertyValues[idxOfMostCorrelative];
//the relevant points need to be shown at the graph
List <float> correlatedPropretyGraph = new List <float>();
//add the relevant values (until the line given)
for (int i = 0; i < lineToCopy; i++)
{
valuesGraph.Add(AllData[i]);
correlatedPropretyGraph.Add(correlatedPropretyData[i]);
}
//points for the regular gaph
Points = new List <DataPoint>();
//points for the correlated grph
CorrelatedPoints = new List <DataPoint>();
//regression points
RegPoints = new List <DataPoint>();
//line regression points
RegLinePoints = new List <DataPoint>();
AnomaliesPointsSpecificFeature = new List <DataPoint>();
DateTime date = new DateTime(2020, 3, 26, 0, 0, 0);
for (int i = 0; i < lineToCopy; i++)
{
Points.Add(new DataPoint(DateTimeAxis.ToDouble(date), AllData[i]));
CorrelatedPoints.Add(new DataPoint(DateTimeAxis.ToDouble(date), correlatedPropretyData[i]));
date = date.AddMilliseconds(100);
}
// we want to show the last 30 seconds, 10 fps -> 30*10 lines to show
int linesForReg = 30 * 10;
for (int j = (int)Math.Max(0, lineToCopy - linesForReg); j < lineToCopy; j++)
{
RegPoints.Add(new DataPoint(AllData[j], correlatedPropretyGraph[j]));
}
if (correlatedPropretyGraph.Count > 0)
{
if ((minCorrelatedPointsXValue[property.Id] != maxCorrelatedPointsXValue[property.Id]))
{
RegLinePoints.Add(new DataPoint(minCorrelatedPointsXValue[property.Id], mcf.calcY(regLine, minCorrelatedPointsXValue[property.Id])));
RegLinePoints.Add(new DataPoint(maxCorrelatedPointsXValue[property.Id], mcf.calcY(regLine, maxCorrelatedPointsXValue[property.Id])));
}
else
{
RegLinePoints.Add(new DataPoint(minCorrelatedPointsXValue[property.Id], minCorrelatedPointsXValue[idxOfMostCorrelative]));
RegLinePoints.Add(new DataPoint(maxCorrelatedPointsXValue[property.Id], maxCorrelatedPointsXValue[idxOfMostCorrelative]));
}
}
if (this.AnomaliesPoints.Count != 0)
{
int amountAnomalies = this.AnomaliesPoints[property.Id].Count;
for (int i = 0; i < amountAnomalies; i++)
{
if (this.fdm.AnomaliesList[property.Id][i].Item2 <= this.fdm.LineToTransmit)
{
this.AnomaliesPointsSpecificFeature.Add(this.AnomaliesPoints[property.Id][i]);
}
}
}
this.Title = property.Name;
this.CorrelatedTitle = PropertyIndexes[idxOfMostCorrelative].Name;
NotifyPropertyChanged("Title");
NotifyPropertyChanged("CorrelatedTitle");
NotifyPropertyChanged("Points");
NotifyPropertyChanged("CorrelatedPoints");
NotifyPropertyChanged("RegPoints");
NotifyPropertyChanged("RegLinePoints");
NotifyPropertyChanged("AnomaliesPointsSpecificFeature");
}