// Post
public JsonMarkersReply Markers(
double nelat, double nelon, double swlat, double swlon,
int zoomlevel, string filter, int sendid
)
{
var sw = new Stopwatch();
sw.Start();
var jsonReceive = new JsonGetMarkersReceive(nelat, nelon, swlat, swlon, zoomlevel, filter, sendid);
var clusteringEnabled = jsonReceive.IsClusteringEnabled || AlgoConfig.AlwaysClusteringEnabledWhenZoomLevelLess > jsonReceive.Zoomlevel;
JsonMarkersReply reply;
jsonReceive.Viewport.ValidateLatLon(); // Validate google map viewport input (is always valid)
jsonReceive.Viewport.Normalize();
// Get all points from memory
IPoints points = MemoryDatabase.GetPoints();
if (jsonReceive.TypeFilterExclude.Count == AlgoConfig.MarkerTypes.Count)
{
// Filter all
points = new Points(); // empty
}
else if (jsonReceive.TypeFilterExclude.Count > 0)
{
// Filter data by typeFilter value
// Make new obj, don't overwrite obj data
points = new Points
{
Data = points.Data
.Where(p => jsonReceive.TypeFilterExclude.Contains(p.T) == false)
.ToList()
};
}
// Create new instance for every ajax request with input all points and json data
var clusterAlgo = new GridCluster(points, jsonReceive); // create polylines
// Clustering
if (clusteringEnabled && jsonReceive.Zoomlevel < AlgoConfig.ZoomlevelClusterStop)
{
// Calculate data to be displayed
var clusterPoints = clusterAlgo.GetCluster(new ClusterInfo
{
ZoomLevel = jsonReceive.Zoomlevel,
});
var converted = DataConvert(clusterPoints);
// Prepare data to the client
reply = new JsonMarkersReply
{
Markers = converted,
Rid = sendid,
Polylines = clusterAlgo.Lines,
Msec = Sw(sw),
};
// Return client data
return(reply);
}
// If we are here then there are no clustering
// The number of items returned is restricted to avoid json data overflow
IPoints filteredDataset = ClusterAlgorithmBase.FilterDataset(points, jsonReceive.Viewport);
IPoints filteredDatasetMaxPoints = new Points
{
Data = filteredDataset.Data
.Take(AlgoConfig.MaxMarkersReturned)
.ToList()
};
reply = new JsonMarkersReply
{
Markers = DataConvert(filteredDatasetMaxPoints),
Rid = sendid,
Polylines = clusterAlgo.Lines,
Mia = filteredDataset.Count - filteredDatasetMaxPoints.Count,
Msec = Sw(sw),
};
return(reply);
}