/// <summary>
/// Clusters and lays out the provided graph
/// </summary>
/// <param name="graphMapData">The graph to update</param>
/// <param name="connectedGraph">The graph that needs to be clustered and layed out</param>
private static void LayoutByClusters(GraphMapData graphMapData, GraphComponents connectedGraph)
{
System.Diagnostics.Debug.WriteLine("");
foreach (Delegate d in ContextMenuManager.Instance.GetContextMenuOpeningInvocationList())
{
System.Diagnostics.Debug.WriteLine((d.Target as GraphComponents).Scope);
}
// Create a Cluster instance for the graph
//Cluster clusterer = new Cluster(connectedGraph);
// Specify the predicate to be used by the Cluster class. In this case
// we are determining clusters based on edges createdf during similarity
// clustering.
//clusterer.EdgePredicate = delegate(IEdge edge)
//{
// bool isSimilarityDataEdge = edge is SimilarityDataEdge;
// return isSimilarityDataEdge;
//};
// Create the clusters and return a new graph. Each node on the
// graph will be represented as a PartitionNode
//GraphComponents clusteredGraphComponents = clusterer.GetClusteredGraph();
//bool isAttributeLayout = true;
// If there is no different between the initial graph that was provided and
// out clustered graph, we didn't really find clusters (most likely because
// similarity clustering was not performed).
//int clusteredNodesCount = clusteredGraphComponents.GetNodeViewModels().Count();
//int connectedNodesCount = connectedGraph.GetNodeViewModels().Count();
//if (clusteredNodesCount == connectedNodesCount)
//{
// TODO handle this better than just re-running
// Rerun clustering without a predicate. This means that clusters will
// be based on regular edges.
Cluster clusterer = new Cluster(connectedGraph);
GraphComponents clusteredGraphComponents = clusterer.GetClusteredGraph();
bool isAttributeLayout = false;
//}
System.Diagnostics.Debug.WriteLine("");
foreach (Delegate d in ContextMenuManager.Instance.GetContextMenuOpeningInvocationList())
{
System.Diagnostics.Debug.WriteLine((d.Target as GraphComponents).Scope);
}
// Get all the nodes that are in the clustered graph. Remember that these are partition nodes.
IEnumerable<INodeShape> clusteredComponents = clusteredGraphComponents.GetNodeViewModels();
foreach (PartitionNode clusteredComponent in clusteredComponents)
{
// Create an appropriate layout to use for this cluster
AsynchronousLayoutBase clusterLayout = GetClusterLayout(isAttributeLayout);
using (GraphComponents clusteredGraph = clusteredComponent.GetGraph())
{
GraphMapData clusteredGraphMapData = GetGraph(graphMapData, clusteredGraph);
// Run the layout. This is laying out the individual cluster itself
clusterLayout.CalculateLayout(clusteredGraphMapData);
}
System.Diagnostics.Debug.WriteLine("");
foreach (Delegate d in ContextMenuManager.Instance.GetContextMenuOpeningInvocationList())
{
System.Diagnostics.Debug.WriteLine((d.Target as GraphComponents).Scope);
}
}
System.Diagnostics.Debug.WriteLine("");
foreach (Delegate d in ContextMenuManager.Instance.GetContextMenuOpeningInvocationList())
{
System.Diagnostics.Debug.WriteLine((d.Target as GraphComponents).Scope);
}
// Now we need to layout the entired clustered graph so it looks more organized
GraphMapData clusteredGraphComponentsGraphMapData = GetClusteredGraph(graphMapData, clusteredGraphComponents);
IDictionary<string, Point> originalPositions = GetOriginalPositions(clusteredGraphComponentsGraphMapData);
FRLayout frLayout = new FRLayout();
frLayout.CalculateLayout(clusteredGraphComponentsGraphMapData);
ApplyOffsetToSubGraphs(graphMapData, clusteredGraphComponents, originalPositions, clusteredGraphComponentsGraphMapData);
clusteredGraphComponents.Dispose();
System.Diagnostics.Debug.WriteLine("");
foreach (Delegate d in ContextMenuManager.Instance.GetContextMenuOpeningInvocationList())
{
System.Diagnostics.Debug.WriteLine((d.Target as GraphComponents).Scope);
}
}
/// <summary>
/// Adds a highlight to the graph to indicate which data is clustered together
/// </summary>
/// <returns>A collection of polygron of clustered highlights on the graph</returns>
public ICollection<Polygon> HighlightClusters()
{
RemoveHighlights();
_cluster = new Cluster(GraphManager.Instance.GetGraphComponents(_scope));
_cluster.EdgePredicate = delegate(Model.IEdge e) { return e is Model.SimilarityDataEdge; };
GraphComponents clusteredGraph = _cluster.GetClusteredGraph();
foreach (PartitionNode pn in clusteredGraph.GetNodeViewModels())
{
if (pn.Nodes.Count > 1)
{
Polygon highlightPolygon = CreateHighlightPolygon(pn);
_clusterPolygons[highlightPolygon] = pn;
}
}
clusteredGraph.Dispose();
_highlightPolygons = _clusterPolygons.Keys;
return _highlightPolygons;
}
