/**
 * Copyright (c) 2006-2016, JGraph Ltd
 * Copyright (c) 2006-2016, Gaudenz Alder
 */
/**
 * Class: mxSwimlaneModel
 *
 * Internal model of a hierarchical graph. This model stores nodes and edges
 * equivalent to the real graph nodes and edges, but also stores the rank of the
 * cells, the order within the ranks and the new candidate locations of cells.
 * The internal model also reverses edge direction were appropriate , ignores
 * self-loop and groups parallels together under one edge object.
 *
 * Constructor: mxSwimlaneModel
 *
 * Creates an internal ordered graph model using the vertices passed in. If
 * there are any, leftward edge need to be inverted in the internal model
 *
 * Arguments:
 *
 * graph - the facade describing the graph to be operated on
 * vertices - the vertices for this hierarchy
 * ordered - whether or not the vertices are already ordered
 * deterministic - whether or not this layout should be deterministic on each
 * tightenToSource - whether or not to tighten vertices towards the sources
 * scanRanksFromSinks - Whether rank assignment is from the sinks or sources.
 * usage
 */
function mxSwimlaneModel(layout, vertices, roots, parent, tightenToSource)
{
	var graph = layout.getGraph();
	this.tightenToSource = tightenToSource;
	this.roots = roots;
	this.parent = parent;

	// map of cells to internal cell needed for second run through
	// to setup the sink of edges correctly
	this.vertexMapper = new mxDictionary();
	this.edgeMapper = new mxDictionary();
	this.maxRank = 0;
	var internalVertices = [];

	if (vertices == null)
	{
		vertices = this.graph.getChildVertices(parent);
	}

	this.maxRank = this.SOURCESCANSTARTRANK;
	// map of cells to internal cell needed for second run through
	// to setup the sink of edges correctly. Guess size by number
	// of edges is roughly same as number of vertices.
	this.createInternalCells(layout, vertices, internalVertices);

	// Go through edges set their sink values. Also check the
	// ordering if and invert edges if necessary
	for (var i = 0; i < vertices.length; i++)
	{
		var edges = internalVertices[i].connectsAsSource;

		for (var j = 0; j < edges.length; j++)
		{
			var internalEdge = edges[j];
			var realEdges = internalEdge.edges;

			// Only need to process the first real edge, since
			// all the edges connect to the same other vertex
			if (realEdges != null && realEdges.length > 0)
			{
				var realEdge = realEdges[0];
				var targetCell = layout.getVisibleTerminal(
						realEdge, false);
				var internalTargetCell = this.vertexMapper.get(targetCell);

				if (internalVertices[i] == internalTargetCell)
				{
					// If there are parallel edges going between two vertices and not all are in the same direction
					// you can have navigated across one direction when doing the cycle reversal that isn't the same
					// direction as the first real edge in the array above. When that happens the if above catches
					// that and we correct the target cell before continuing.
					// This branch only detects this single case
					targetCell = layout.getVisibleTerminal(
							realEdge, true);
					internalTargetCell = this.vertexMapper.get(targetCell);
				}

				if (internalTargetCell != null
						&& internalVertices[i] != internalTargetCell)
				{
					internalEdge.target = internalTargetCell;

					if (internalTargetCell.connectsAsTarget.length == 0)
					{
						internalTargetCell.connectsAsTarget = [];
					}

					if (mxUtils.indexOf(internalTargetCell.connectsAsTarget, internalEdge) < 0)
					{
						internalTargetCell.connectsAsTarget.push(internalEdge);
					}
				}
			}
		}

		// Use the temp variable in the internal nodes to mark this
		// internal vertex as having been visited.
		internalVertices[i].temp[0] = 1;
	}
};

/**
 * Variable: maxRank
 *
 * Stores the largest rank number allocated
 */
mxSwimlaneModel.prototype.maxRank = null;

/**
 * Variable: vertexMapper
 *
 * Map from graph vertices to internal model nodes.
 */
mxSwimlaneModel.prototype.vertexMapper = null;

/**
 * Variable: edgeMapper
 *
 * Map from graph edges to internal model edges
 */
mxSwimlaneModel.prototype.edgeMapper = null;

/**
 * Variable: ranks
 *
 * Mapping from rank number to actual rank
 */
mxSwimlaneModel.prototype.ranks = null;

/**
 * Variable: roots
 *
 * Store of roots of this hierarchy model, these are real graph cells, not
 * internal cells
 */
mxSwimlaneModel.prototype.roots = null;

/**
 * Variable: parent
 *
 * The parent cell whose children are being laid out
 */
mxSwimlaneModel.prototype.parent = null;

/**
 * Variable: dfsCount
 *
 * Count of the number of times the ancestor dfs has been used.
 */
mxSwimlaneModel.prototype.dfsCount = 0;

/**
 * Variable: SOURCESCANSTARTRANK
 *
 * High value to start source layering scan rank value from.
 */
mxSwimlaneModel.prototype.SOURCESCANSTARTRANK = 100000000;

/**
 * Variable: tightenToSource
 *
 * Whether or not to tighten the assigned ranks of vertices up towards
 * the source cells.
 */
mxGraphHierarchyModel.prototype.tightenToSource = false;

/**
 * Variable: ranksPerGroup
 *
 * An array of the number of ranks within each swimlane
 */
mxSwimlaneModel.prototype.ranksPerGroup = null;

/**
 * Function: createInternalCells
 *
 * Creates all edges in the internal model
 *
 * Parameters:
 *
 * layout - Reference to the <mxHierarchicalLayout> algorithm.
 * vertices - Array of <mxCells> that represent the vertices whom are to
 * have an internal representation created.
 * internalVertices - The array of <mxGraphHierarchyNodes> to have their
 * information filled in using the real vertices.
 */
mxSwimlaneModel.prototype.createInternalCells = function(layout, vertices, internalVertices)
{
	var graph = layout.getGraph();
	var swimlanes = layout.swimlanes;

	// Create internal edges
	for (var i = 0; i < vertices.length; i++)
	{
		internalVertices[i] = new mxGraphHierarchyNode(vertices[i]);
		this.vertexMapper.put(vertices[i], internalVertices[i]);
		internalVertices[i].swimlaneIndex = -1;

		for (var ii = 0; ii < swimlanes.length; ii++)
		{
			if (graph.model.getParent(vertices[i]) == swimlanes[ii])
			{
				internalVertices[i].swimlaneIndex = ii;
				break;
			}
		}

		// If the layout is deterministic, order the cells
		//List outgoingCells = graph.getNeighbours(vertices[i], deterministic);
		var conns = layout.getEdges(vertices[i]);
		internalVertices[i].connectsAsSource = [];

		// Create internal edges, but don't do any rank assignment yet
		// First use the information from the greedy cycle remover to
		// invert the leftward edges internally
		for (var j = 0; j < conns.length; j++)
		{
			var cell = layout.getVisibleTerminal(conns[j], false);

			// Looking for outgoing edges only
			if (cell != vertices[i] && layout.graph.model.isVertex(cell) &&
					!layout.isVertexIgnored(cell))
			{
				// We process all edge between this source and its targets
				// If there are edges going both ways, we need to collect
				// them all into one internal edges to avoid looping problems
				// later. We assume this direction (source -> target) is the 
				// natural direction if at least half the edges are going in
				// that direction.

				// The check below for edges[0] being in the vertex mapper is
				// in case we've processed this the other way around
				// (target -> source) and the number of edges in each direction
				// are the same. All the graph edges will have been assigned to
				// an internal edge going the other way, so we don't want to 
				// process them again
				var undirectedEdges = layout.getEdgesBetween(vertices[i],
						cell, false);
				var directedEdges = layout.getEdgesBetween(vertices[i],
						cell, true);
				
				if (undirectedEdges != null &&
						undirectedEdges.length > 0 &&
						this.edgeMapper.get(undirectedEdges[0]) == null &&
						directedEdges.length * 2 >= undirectedEdges.length)
				{
					var internalEdge = new mxGraphHierarchyEdge(undirectedEdges);

					for (var k = 0; k < undirectedEdges.length; k++)
					{
						var edge = undirectedEdges[k];
						this.edgeMapper.put(edge, internalEdge);

						// Resets all point on the edge and disables the edge style
						// without deleting it from the cell style
						graph.resetEdge(edge);

					    if (layout.disableEdgeStyle)
					    {
					    	layout.setEdgeStyleEnabled(edge, false);
					    	layout.setOrthogonalEdge(edge,true);
					    }
					}

					internalEdge.source = internalVertices[i];

					if (mxUtils.indexOf(internalVertices[i].connectsAsSource, internalEdge) < 0)
					{
						internalVertices[i].connectsAsSource.push(internalEdge);
					}
				}
			}
		}

		// Ensure temp variable is cleared from any previous use
		internalVertices[i].temp[0] = 0;
	}
};

/**
 * Function: initialRank
 *
 * Basic determination of minimum layer ranking by working from from sources
 * or sinks and working through each node in the relevant edge direction.
 * Starting at the sinks is basically a longest path layering algorithm.
*/
mxSwimlaneModel.prototype.initialRank = function()
{
	this.ranksPerGroup = [];
	
	var startNodes = [];
	var seen = new Object();

	if (this.roots != null)
	{
		for (var i = 0; i < this.roots.length; i++)
		{
			var internalNode = this.vertexMapper.get(this.roots[i]);
			this.maxChainDfs(null, internalNode, null, seen, 0);

			if (internalNode != null)
			{
				startNodes.push(internalNode);
			}
		}
	}

	// Calculate the lower and upper rank bounds of each swimlane
	var lowerRank = [];
	var upperRank = [];
	
	for (var i = this.ranksPerGroup.length - 1; i >= 0; i--)
	{
		if (i == this.ranksPerGroup.length - 1)
		{
			lowerRank[i] = 0;
		}
		else
		{
			lowerRank[i] = upperRank[i+1] + 1;
		}
		
		upperRank[i] = lowerRank[i] + this.ranksPerGroup[i];
	}
	
	this.maxRank = upperRank[0];

	var internalNodes = this.vertexMapper.getValues();
	
	for (var i=0; i < internalNodes.length; i++)
	{
		// Mark the node as not having had a layer assigned
		internalNodes[i].temp[0] = -1;
	}

	var startNodesCopy = startNodes.slice();
	
	while (startNodes.length > 0)
	{
		var internalNode = startNodes[0];
		var layerDeterminingEdges;
		var edgesToBeMarked;

		layerDeterminingEdges = internalNode.connectsAsTarget;
		edgesToBeMarked = internalNode.connectsAsSource;

		// flag to keep track of whether or not all layer determining
		// edges have been scanned
		var allEdgesScanned = true;

		// Work out the layer of this node from the layer determining
		// edges. The minimum layer number of any node connected by one of
		// the layer determining edges variable
		var minimumLayer = upperRank[0];

		for (var i = 0; i < layerDeterminingEdges.length; i++)
		{
			var internalEdge = layerDeterminingEdges[i];

			if (internalEdge.temp[0] == 5270620)
			{
				// This edge has been scanned, get the layer of the
				// node on the other end
				var otherNode = internalEdge.source;
				minimumLayer = Math.min(minimumLayer, otherNode.temp[0] - 1);
			}
			else
			{
				allEdgesScanned = false;

				break;
			}
		}

		// If all edge have been scanned, assign the layer, mark all
		// edges in the other direction and remove from the nodes list
		if (allEdgesScanned)
		{
			if (minimumLayer > upperRank[internalNode.swimlaneIndex])
			{
				minimumLayer = upperRank[internalNode.swimlaneIndex];
			}

			internalNode.temp[0] = minimumLayer;

			if (edgesToBeMarked != null)
			{
				for (var i = 0; i < edgesToBeMarked.length; i++)
				{
					var internalEdge = edgesToBeMarked[i];

					// Assign unique stamp ( y/m/d/h )
					internalEdge.temp[0] = 5270620;

					// Add node on other end of edge to LinkedList of
					// nodes to be analysed
					var otherNode = internalEdge.target;

					// Only add node if it hasn't been assigned a layer
					if (otherNode.temp[0] == -1)
					{
						startNodes.push(otherNode);

						// Mark this other node as neither being
						// unassigned nor assigned so it isn't
						// added to this list again, but it's
						// layer isn't used in any calculation.
						otherNode.temp[0] = -2;
					}
				}
			}

			startNodes.shift();
		}
		else
		{
			// Not all the edges have been scanned, get to the back of
			// the class and put the dunces cap on
			var removedCell = startNodes.shift();
			startNodes.push(internalNode);

			if (removedCell == internalNode && startNodes.length == 1)
			{
				// This is an error condition, we can't get out of
				// this loop. It could happen for more than one node
				// but that's a lot harder to detect. Log the error
				// TODO make log comment
				break;
			}
		}
	}

	// Normalize the ranks down from their large starting value to place
	// at least 1 sink on layer 0
//	for (var key in this.vertexMapper)
//	{
//		var internalNode = this.vertexMapper[key];
//		// Mark the node as not having had a layer assigned
//		internalNode.temp[0] -= this.maxRank;
//	}
	
	// Tighten the rank 0 nodes as far as possible
//	for ( var i = 0; i < startNodesCopy.length; i++)
//	{
//		var internalNode = startNodesCopy[i];
//		var currentMaxLayer = 0;
//		var layerDeterminingEdges = internalNode.connectsAsSource;
//
//		for ( var j = 0; j < layerDeterminingEdges.length; j++)
//		{
//			var internalEdge = layerDeterminingEdges[j];
//			var otherNode = internalEdge.target;
//			internalNode.temp[0] = Math.max(currentMaxLayer,
//					otherNode.temp[0] + 1);
//			currentMaxLayer = internalNode.temp[0];
//		}
//	}
};

/**
 * Function: maxChainDfs
 *
 * Performs a depth first search on the internal hierarchy model. This dfs
 * extends the default version by keeping track of chains within groups.
 * Any cycles should be removed prior to running, but previously seen cells
 * are ignored.
 *
 * Parameters:
 *
 * parent - the parent internal node of the current internal node
 * root - the current internal node
 * connectingEdge - the internal edge connecting the internal node and the parent
 * internal node, if any
 * seen - a set of all nodes seen by this dfs
 * chainCount - the number of edges in the chain of vertices going through
 * the current swimlane
 */
mxSwimlaneModel.prototype.maxChainDfs = function(parent, root, connectingEdge, seen, chainCount)
{
	if (root != null)
	{
		var rootId = mxCellPath.create(root.cell);

		if (seen[rootId] == null)
		{
			seen[rootId] = root;
			var slIndex = root.swimlaneIndex;
			
			if (this.ranksPerGroup[slIndex] == null || this.ranksPerGroup[slIndex] < chainCount)
			{
				this.ranksPerGroup[slIndex] = chainCount;
			}

			// Copy the connects as source list so that visitors
			// can change the original for edge direction inversions
			var outgoingEdges = root.connectsAsSource.slice();

			for (var i = 0; i < outgoingEdges.length; i++)
			{
				var internalEdge = outgoingEdges[i];
				var targetNode = internalEdge.target;

				// Only navigate in source->target direction within the same
				// swimlane, or from a lower index swimlane to a higher one
				if (root.swimlaneIndex < targetNode.swimlaneIndex)
				{
					this.maxChainDfs(root, targetNode, internalEdge, mxUtils.clone(seen, null , true), 0);
				}
				else if (root.swimlaneIndex == targetNode.swimlaneIndex)
				{
					this.maxChainDfs(root, targetNode, internalEdge, mxUtils.clone(seen, null , true), chainCount + 1);
				}
			}
		}
	}
};

/**
 * Function: fixRanks
 *
 * Fixes the layer assignments to the values stored in the nodes. Also needs
 * to create dummy nodes for edges that cross layers.
 */
mxSwimlaneModel.prototype.fixRanks = function()
{
	var rankList = [];
	this.ranks = [];

	for (var i = 0; i < this.maxRank + 1; i++)
	{
		rankList[i] = [];
		this.ranks[i] = rankList[i];
	}

	// Perform a DFS to obtain an initial ordering for each rank.
	// Without doing this you would end up having to process
	// crossings for a standard tree.
	var rootsArray = null;

	if (this.roots != null)
	{
		var oldRootsArray = this.roots;
		rootsArray = [];

		for (var i = 0; i < oldRootsArray.length; i++)
		{
			var cell = oldRootsArray[i];
			var internalNode = this.vertexMapper.get(cell);
			rootsArray[i] = internalNode;
		}
	}

	this.visit(function(parent, node, edge, layer, seen)
	{
		if (seen == 0 && node.maxRank < 0 && node.minRank < 0)
		{
			rankList[node.temp[0]].push(node);
			node.maxRank = node.temp[0];
			node.minRank = node.temp[0];

			// Set temp[0] to the nodes position in the rank
			node.temp[0] = rankList[node.maxRank].length - 1;
		}

		if (parent != null && edge != null)
		{
			var parentToCellRankDifference = parent.maxRank - node.maxRank;

			if (parentToCellRankDifference > 1)
			{
				// There are ranks in between the parent and current cell
				edge.maxRank = parent.maxRank;
				edge.minRank = node.maxRank;
				edge.temp = [];
				edge.x = [];
				edge.y = [];

				for (var i = edge.minRank + 1; i < edge.maxRank; i++)
				{
					// The connecting edge must be added to the
					// appropriate ranks
					rankList[i].push(edge);
					edge.setGeneralPurposeVariable(i, rankList[i]
							.length - 1);
				}
			}
		}
	}, rootsArray, false, null);
};

/**
 * Function: visit
 *
 * A depth first search through the internal heirarchy model.
 *
 * Parameters:
 *
 * visitor - The visitor function pattern to be called for each node.
 * trackAncestors - Whether or not the search is to keep track all nodes
 * directly above this one in the search path.
 */
mxSwimlaneModel.prototype.visit = function(visitor, dfsRoots, trackAncestors, seenNodes)
{
	// Run dfs through on all roots
	if (dfsRoots != null)
	{
		for (var i = 0; i < dfsRoots.length; i++)
		{
			var internalNode = dfsRoots[i];

			if (internalNode != null)
			{
				if (seenNodes == null)
				{
					seenNodes = new Object();
				}

				if (trackAncestors)
				{
					// Set up hash code for root
					internalNode.hashCode = [];
					internalNode.hashCode[0] = this.dfsCount;
					internalNode.hashCode[1] = i;
					this.extendedDfs(null, internalNode, null, visitor, seenNodes,
							internalNode.hashCode, i, 0);
				}
				else
				{
					this.dfs(null, internalNode, null, visitor, seenNodes, 0);
				}
			}
		}

		this.dfsCount++;
	}
};

/**
 * Function: dfs
 *
 * Performs a depth first search on the internal hierarchy model
 *
 * Parameters:
 *
 * parent - the parent internal node of the current internal node
 * root - the current internal node
 * connectingEdge - the internal edge connecting the internal node and the parent
 * internal node, if any
 * visitor - the visitor pattern to be called for each node
 * seen - a set of all nodes seen by this dfs a set of all of the
 * ancestor node of the current node
 * layer - the layer on the dfs tree ( not the same as the model ranks )
 */
mxSwimlaneModel.prototype.dfs = function(parent, root, connectingEdge, visitor, seen, layer)
{
	if (root != null)
	{
		var rootId = root.id;

		if (seen[rootId] == null)
		{
			seen[rootId] = root;
			visitor(parent, root, connectingEdge, layer, 0);

			// Copy the connects as source list so that visitors
			// can change the original for edge direction inversions
			var outgoingEdges = root.connectsAsSource.slice();
			
			for (var i = 0; i< outgoingEdges.length; i++)
			{
				var internalEdge = outgoingEdges[i];
				var targetNode = internalEdge.target;

				// Root check is O(|roots|)
				this.dfs(root, targetNode, internalEdge, visitor, seen,
						layer + 1);
			}
		}
		else
		{
			// Use the int field to indicate this node has been seen
			visitor(parent, root, connectingEdge, layer, 1);
		}
	}
};

/**
 * Function: extendedDfs
 *
 * Performs a depth first search on the internal hierarchy model. This dfs
 * extends the default version by keeping track of cells ancestors, but it
 * should be only used when necessary because of it can be computationally
 * intensive for deep searches.
 *
 * Parameters:
 *
 * parent - the parent internal node of the current internal node
 * root - the current internal node
 * connectingEdge - the internal edge connecting the internal node and the parent
 * internal node, if any
 * visitor - the visitor pattern to be called for each node
 * seen - a set of all nodes seen by this dfs
 * ancestors - the parent hash code
 * childHash - the new hash code for this node
 * layer - the layer on the dfs tree ( not the same as the model ranks )
 */
mxSwimlaneModel.prototype.extendedDfs = function(parent, root, connectingEdge, visitor, seen, ancestors, childHash, layer)
{
	// Explanation of custom hash set. Previously, the ancestors variable
	// was passed through the dfs as a HashSet. The ancestors were copied
	// into a new HashSet and when the new child was processed it was also
	// added to the set. If the current node was in its ancestor list it
	// meant there is a cycle in the graph and this information is passed
	// to the visitor.visit() in the seen parameter. The HashSet clone was
	// very expensive on CPU so a custom hash was developed using primitive
	// types. temp[] couldn't be used so hashCode[] was added to each node.
	// Each new child adds another int to the array, copying the prefix
	// from its parent. Child of the same parent add different ints (the
	// limit is therefore 2^32 children per parent...). If a node has a
	// child with the hashCode already set then the child code is compared
	// to the same portion of the current nodes array. If they match there
	// is a loop.
	// Note that the basic mechanism would only allow for 1 use of this
	// functionality, so the root nodes have two ints. The second int is
	// incremented through each node root and the first is incremented
	// through each run of the dfs algorithm (therefore the dfs is not
	// thread safe). The hash code of each node is set if not already set,
	// or if the first int does not match that of the current run.
	if (root != null)
	{
		if (parent != null)
		{
			// Form this nodes hash code if necessary, that is, if the
			// hashCode variable has not been initialized or if the
			// start of the parent hash code does not equal the start of
			// this nodes hash code, indicating the code was set on a
			// previous run of this dfs.
			if (root.hashCode == null ||
				root.hashCode[0] != parent.hashCode[0])
			{
				var hashCodeLength = parent.hashCode.length + 1;
				root.hashCode = parent.hashCode.slice();
				root.hashCode[hashCodeLength - 1] = childHash;
			}
		}

		var rootId = root.id;

		if (seen[rootId] == null)
		{
			seen[rootId] = root;
			visitor(parent, root, connectingEdge, layer, 0);

			// Copy the connects as source list so that visitors
			// can change the original for edge direction inversions
			var outgoingEdges = root.connectsAsSource.slice();
			var incomingEdges = root.connectsAsTarget.slice();

			for (var i = 0; i < outgoingEdges.length; i++)
			{
				var internalEdge = outgoingEdges[i];
				var targetNode = internalEdge.target;
				
				// Only navigate in source->target direction within the same
				// swimlane, or from a lower index swimlane to a higher one
				if (root.swimlaneIndex <= targetNode.swimlaneIndex)
				{
					this.extendedDfs(root, targetNode, internalEdge, visitor, seen,
							root.hashCode, i, layer + 1);
				}
			}
			
			for (var i = 0; i < incomingEdges.length; i++)
			{
				var internalEdge = incomingEdges[i];
				var targetNode = internalEdge.source;

				// Only navigate in target->source direction from a lower index 
				// swimlane to a higher one
				if (root.swimlaneIndex < targetNode.swimlaneIndex)
				{
					this.extendedDfs(root, targetNode, internalEdge, visitor, seen,
							root.hashCode, i, layer + 1);
				}
			}
		}
		else
		{
			// Use the int field to indicate this node has been seen
			visitor(parent, root, connectingEdge, layer, 1);
		}
	}
};
