public void Add(IMonitorData data, DateTime? currentTime)
{
foreach (var ds in dataSetsDict.Values)
{
ds.Add(data, currentTime);
}
}
public IEnumerable <IShape> Convert(IMonitorData monitorData)
{
var shapes = new List <IShape>();
//foreach(RectangleDatas rectDatas in monitorData.Rectangles)
//{
// myShapes.Add(CreateMyRectangle(rectDatas));
//}
shapes.AddRange(monitorData.Rectangles.Select(x => CreateRectangle(x)));
shapes.AddRange(monitorData.Capsules.Select(x => CreateCapsule(x)));
shapes.AddRange(monitorData.Circles.Select(x => CreateCircle(x)));
shapes.AddRange(monitorData.LineSegments.Select(x => CreateLineSegmets(x)));
//foreach (TargetDatas targetDatas in monitorData.Targets)
//{
// IEnumerable<Circle> targetCircles = CreateMyTarget(targetDatas);
// foreach(Circle circle in targetCircles)
// {
// myShapes.Add(circle);
// }
//}
shapes.AddRange(monitorData.Targets.SelectMany(x => CreateTarget(x)));
return(shapes);
}
public void MeanAdd(IMonitorData data)
{
if (data.Timestamp < Timestamp) throw new ArgumentException("Timestamp of data to mean must greather than existing");
MeanTimespan = data.Timestamp - Timestamp;
Value = (Value * MeanValueCount + data.Value) / (MeanValueCount + 1);
++MeanValueCount;
}
public IMonitorData Fetch()
{
IMonitorData md = MockFetch(moving);
moving++;
return(md);
}
public void DrawShapesOnCanvas(Canvas myCanvas)
{
myCanvas.Children.Clear();
IMonitorData monitorData = _monitorDataProvider.Fetch();
IEnumerable <IShape> myShapes = _converterStrategy.Convert(monitorData);
foreach (IShape myShape in myShapes)
{
myShape.DrawOnCanvas(myCanvas);
}
}
/// <summary>
/// Add the given data and store in the dataset computing the mean value if needed.
/// </summary>
public void Add(IMonitorData data, DateTime? currentTime)
{
if (!TimespanTotal.HasValue || points.Count == 0) // add points without mean average for default set or if empty set
{
points.Add(data.Clone());
}
else
{
var last = points.GetItem(points.Count - 1);
var ct = currentTime.HasValue ? currentTime.Value : DateTime.Now;
// checks if last point timespan not yet overcome
if (last.Timestamp + TimespanInterval.Value > ct)
{
last.MeanAdd(data);
}
else // aggregate data
{
points.Add(data.Clone());
}
}
}
