/// <summary>
/// This is the method that actually does the work.
/// </summary>
/// <param name="dataAccess">
/// The DA object is used to retrieve from inputs and store in outputs.
/// </param>
protected override void SolveInstance(IGH_DataAccess dataAccess)
{
bool run = false;
if (!dataAccess.GetData(6, ref run))
{
AddRuntimeMessage(GH_RuntimeMessageLevel.Error, "Invalid data");
dataAccess.SetData(2, false);
return;
}
if (!run)
{
return;
}
List <Panel> panels = new List <Panel>();
if (!dataAccess.GetDataList(0, panels) || panels == null)
{
AddRuntimeMessage(GH_RuntimeMessageLevel.Error, "Invalid data");
dataAccess.SetData(2, false);
return;
}
List <Space> spaces = new List <Space>();
dataAccess.GetDataList(1, spaces);
double tolerance = double.NaN;
if (!dataAccess.GetData(2, ref tolerance) || double.IsNaN(tolerance))
{
AddRuntimeMessage(GH_RuntimeMessageLevel.Error, "Invalid data");
dataAccess.SetData(2, false);
return;
}
bool tryCellComplexByCells = false;
if (!dataAccess.GetData(3, ref tryCellComplexByCells))
{
AddRuntimeMessage(GH_RuntimeMessageLevel.Error, "Invalid data");
dataAccess.SetData(2, false);
return;
}
//string reportPath = null;
//if (dataAccess.GetData(4, ref reportPath))
//{
// if (System.IO.File.Exists(reportPath))
// System.IO.File.Delete(reportPath);
//}
double minArea = Tolerance.MacroDistance;
dataAccess.GetData(4, ref minArea);
double silverSpacing = Tolerance.MacroDistance;
dataAccess.GetData(5, ref silverSpacing);
List <Topology> topologies = null;
Log log = new Log();
List <Panel> panels_Redundant = null;
AdjacencyCluster adjacencyCluster = Analytical.Topologic.Create.AdjacencyCluster(spaces, panels, out topologies, out panels_Redundant, minArea, true, tryCellComplexByCells, log, silverSpacing, tolerance);
if (adjacencyCluster != null)
{
List <Space> spaces_Temp = adjacencyCluster.GetSpaces();
if (spaces_Temp == null || spaces_Temp.Count == 0)
{
AddRuntimeMessage(GH_RuntimeMessageLevel.Warning, "No spaces have been detected");
}
else
{
List <Point3D> locations = spaces_Temp.ConvertAll(x => x.Location);
if (locations.RemoveAll(x => x == null) > 0)
{
AddRuntimeMessage(GH_RuntimeMessageLevel.Warning, "There are spaces without Location Points");
}
List <Space> spaces_Unbounded = new List <Space>();
List <Space> spaces_Multiple = new List <Space>();
HashSet <int> indexes_Multiple = new HashSet <int>();
List <List <Space> > spacesList_Locations = adjacencyCluster.GetSpaces(locations);
for (int i = 0; i < spacesList_Locations.Count; i++)
{
List <Space> spaces_Locations = spacesList_Locations[i];
Point3D point3D_Location = locations[i];
if (spaces_Locations == null)
{
spaces_Unbounded.Add(spaces_Temp.Find(x => point3D_Location.AlmostEquals(x.Location)));
continue;
}
if (spacesList_Locations.Count > 2)
{
indexes_Multiple.Add(i);
}
}
foreach (Space space in spaces_Unbounded)
{
string text = "There are unbounded spaces in topology model";
if (!string.IsNullOrWhiteSpace(space.Name))
{
text += " " + space.Name;
}
text += " " + "Guid: " + space.Guid;
AddRuntimeMessage(GH_RuntimeMessageLevel.Warning, text);
}
foreach (Space space in spaces_Multiple)
{
string text = "There are multiple spaces in topology cell";
if (!string.IsNullOrWhiteSpace(space.Name))
{
text += " " + space.Name;
}
text += " " + "Guid: " + space.Guid;
AddRuntimeMessage(GH_RuntimeMessageLevel.Warning, text);
}
}
dataAccess.SetData(0, new GooAdjacencyCluster(adjacencyCluster));
}
else
{
dataAccess.SetData(0, null);
}
dataAccess.SetDataList(1, topologies);
dataAccess.SetDataList(2, adjacencyCluster?.GetPanels());
dataAccess.SetDataList(3, adjacencyCluster?.GetSpaces());
dataAccess.SetDataList(4, adjacencyCluster?.GetInternalPanels());
dataAccess.SetDataList(5, adjacencyCluster?.GetExternalPanels());
dataAccess.SetDataList(6, adjacencyCluster?.GetShadingPanels());
dataAccess.SetDataList(7, panels_Redundant);
dataAccess.SetData(8, new GooLog(log));
dataAccess.SetData(9, adjacencyCluster != null);
}
