public HistorianInputQueue(Func <ClientDatabaseBase <HistorianKey, HistorianValue> > getDatabase)
{
m_syncWrite = new object();
m_blocks = new IsolatedQueue <PointData>();
m_pointStream = new StreamPoints(m_blocks, 1000);
m_getDatabase = getDatabase;
m_worker = new ScheduledTask(ThreadingMode.DedicatedForeground);
m_worker.Running += WorkerDoWork;
}
/// <summary>
/// Get custom lengths of split data
/// </summary>
/// <param name="SplitDistance">in kilometers as distance is!</param>
/// <returns></returns>
public List <MAFStream> GetCustomSplits(float SplitDistance)
{
List <MAFStream> data = new List <MAFStream>();
MAFStream split = new MAFStream();
for (int ind = 0; ind < StreamPoints.Count(); ind++)
{
// Get instance of current sample
MAFStream c = StreamPoints[ind];
// Skip empty data sets
if (c.Distance <= 0 || c.Time < new TimeSpan(0, 0, 1))
{
continue;
}
// Need to split from this data sample
if (split.Distance + c.Distance >= SplitDistance)
{
// Calculate distance to take into account
var dist = SplitDistance - split.Distance;
// Sanity checking
if (c.Distance < 0 || c.Time < new TimeSpan(0, 0, 0) || dist > c.Distance)
{
int k = 2 + 2;
}
if (dist < 0)
{
dist = SplitDistance;
}
// Add to current split
split.Altitude = (c.Altitude * dist + split.Altitude * split.Distance) / (dist + split.Distance);
split.Cadence = (c.Cadence * dist + split.Cadence * split.Distance) / (dist + split.Distance);
split.Grade = (c.Grade * dist + split.Grade * split.Distance) / (dist + split.Distance);
split.Heartrate = (c.Heartrate * dist + split.Heartrate * split.Distance) / (dist + split.Distance);
split.Temperature = (c.Temperature * dist + split.Temperature * split.Distance) / (dist + split.Distance);
split.Velocity = (c.Velocity * dist + split.Velocity * split.Distance) / (dist + split.Distance);
if (c.Moving == true)
{
split.Moving = true;
}
// Add only weighted fraction of the time to this split
split.Time = TimeSpan.FromMilliseconds(((float)c.Time.TotalMilliseconds * dist + (float)split.Time.TotalMilliseconds * split.Distance) / (dist + split.Distance));
split.Distance = dist + split.Distance;
// Save data
data.Add(split);
// Add remainder to a new split(s)
// Add also full splits if sample distance is larger than desired subset length
do
{
split = new MAFStream();
split.Altitude = c.Altitude;
split.Cadence = c.Cadence;
// Calculate remaining length of the split
var d = c.Distance - dist;
if (d > SplitDistance)
{
d = SplitDistance;
}
// Calculate time spent to this split
TimeSpan timeSpent = TimeSpan.FromMilliseconds(c.Time.TotalMilliseconds * d / c.Distance);
split.Distance = d;
split.Grade = c.Grade;
split.Heartrate = c.Heartrate;
split.Moving = c.Moving;
split.Temperature = c.Temperature;
split.Time = c.Time - timeSpent; // TimeSpan.FromMilliseconds(((float)c.Time.TotalMilliseconds * c.Distance + (float)split.Time.TotalMilliseconds * split.Distance) / (c.Distance + split.Distance));
split.Velocity = c.Velocity;
// Decrease c-distance with the amount used already for this split
c.Distance -= d;
c.Time -= timeSpent;
dist = d;
if (d >= SplitDistance)
{
//Console.WriteLine(" Split needs extra round");
// Save this data before next lap
data.Add(split);
int k = 2 + 2;
}
} while (c.Distance >= SplitDistance);
}
else
{
// Weighted ratio of current data set vs data already accumulated in the split
// Add to current split
split.Altitude = (c.Altitude * c.Distance + split.Altitude * split.Distance) / (c.Distance + split.Distance);
split.Cadence = (c.Cadence * c.Distance + split.Cadence * split.Distance) / (c.Distance + split.Distance);
split.Grade = (c.Grade * c.Distance + split.Grade * split.Distance) / (c.Distance + split.Distance);
split.Heartrate = (c.Heartrate * c.Distance + split.Heartrate * split.Distance) / (c.Distance + split.Distance);
split.Temperature = (c.Temperature * c.Distance + split.Temperature * split.Distance) / (c.Distance + split.Distance);
split.Velocity = (c.Velocity * c.Distance + split.Velocity * split.Distance) / (c.Distance + split.Distance);
if (c.Moving == true)
{
split.Moving = true;
}
split.Time = c.Time + split.Time;
split.Distance = c.Distance + split.Distance;
}
}
// Add remainder of data
data.Add(split);
//
return(data);
}