// rtree.js - General-Purpose Non-Recursive Javascript R-Tree Library
// Version 0.6.2, December 5st 2009
//
// Copyright (c) 2009 Jon-Carlos Rivera
//
// Permission is hereby granted, free of charge, to any person obtaining
// a copy of this software and associated documentation files (the
// "Software"), to deal in the Software without restriction, including
// without limitation the rights to use, copy, modify, merge, publish,
// distribute, sublicense, and/or sell copies of the Software, and to
// permit persons to whom the Software is furnished to do so, subject to
// the following conditions:
//
// The above copyright notice and this permission notice shall be
// included in all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
// EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
// NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
// LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
// OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
// WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
//
// Jon-Carlos Rivera - imbcmdth@hotmail.com


goog.provide('ol.structs.RTree');

goog.require('goog.array');
goog.require('ol.extent');


/**
 * @typedef {{extent: ol.Extent,
 *            leaf: (Object|undefined),
 *            nodes: (Array.<ol.structs.RTreeNode>|undefined),
 *            target: (Object|undefined),
 *            type: (string|undefined)}}
 */
ol.structs.RTreeNode;



/**
 * @constructor
 * @param {number=} opt_maxWidth Width before a node is split. Default is 6.
 */
ol.structs.RTree = function(opt_maxWidth) {

  /**
   * Maximum width of any node before a split.
   * @private
   * @type {number}
   */
  this.maxWidth_ = goog.isDef(opt_maxWidth) ? opt_maxWidth : 6;

  /**
   * Minimum width of any node before a merge.
   * @private
   * @type {number}
   */
  this.minWidth_ = Math.floor(this.maxWidth_ / 2);

  /**
   * Start with an empty root-tree.
   * @private
   * @type {ol.structs.RTreeNode}
   */
  this.rootTree_ = /** @type {ol.structs.RTreeNode} */
      ({extent: ol.extent.createEmpty(), nodes: []});

};


/**
 * @param {ol.structs.RTreeNode} node Node.
 * @private
 */
ol.structs.RTree.recalculateExtent_ = function(node) {
  var n = node.nodes.length;
  var extent = node.extent;
  if (n === 0) {
    ol.extent.empty(extent);
  } else {
    var firstNodeExtent = node.nodes[0].extent;
    extent[0] = firstNodeExtent[0];
    extent[1] = firstNodeExtent[1];
    extent[2] = firstNodeExtent[2];
    extent[3] = firstNodeExtent[3];
    var i;
    for (i = 1; i < n; ++i) {
      ol.extent.extend(extent, node.nodes[i].extent);
    }
  }
};


/**
 * This is Jon-Carlos Rivera's special addition to the world of r-trees.
 * Every other (simple) method he found produced poor trees.
 * This skews insertions to prefering squarer and emptier nodes.
 *
 * @param {number} l L.
 * @param {number} w W.
 * @param {number} fill Fill.
 * @private
 * @return {number} Squarified ratio.
 */
ol.structs.RTree.squarifiedRatio_ = function(l, w, fill) {
  // Area of new enlarged rectangle
  var peri = (l + w) / 2; // Average size of a side of the new rectangle
  var area = l * w; // Area of new rectangle
  // return the ratio of the perimeter to the area - the closer to 1 we are,
  // the more "square" a rectangle is. conversly, when approaching zero the
  // more elongated a rectangle is
  var geo = area / (peri * peri);
  return area * fill / geo;
};


/**
 * Choose the best for rectangle to be inserted into.
 *
 * @param {ol.structs.RTreeNode} rect Rectangle.
 * @param {ol.structs.RTreeNode} root Root to start search.
 * @private
 * @return {Array} Leaf node parent.
 */
ol.structs.RTree.prototype.chooseLeafSubtree_ = function(rect, root) {
  var bestChoiceIndex = -1;
  var bestChoiceStack = [];
  var bestChoiceArea;

  bestChoiceStack.push(root);
  var nodes = root.nodes;

  do {
    if (bestChoiceIndex != -1) {
      bestChoiceStack.push(nodes[bestChoiceIndex]);
      nodes = nodes[bestChoiceIndex].nodes;
      bestChoiceIndex = -1;
    }

    for (var i = nodes.length - 1; i >= 0; --i) {
      var lTree = nodes[i];
      if (goog.isDef(lTree.leaf)) {
        // Bail out of everything and start inserting
        bestChoiceIndex = -1;
        break;
      }
      // Area of new enlarged rectangle
      var oldLRatio = ol.structs.RTree.squarifiedRatio_(
          lTree.extent[1] - lTree.extent[0],
          lTree.extent[3] - lTree.extent[2],
          lTree.nodes.length + 1);

      // Enlarge rectangle to fit new rectangle
      var nw = (lTree.extent[1] > rect.extent[1] ?
          lTree.extent[1] : rect.extent[1]) -
          (lTree.extent[0] < rect.extent[0] ?
          lTree.extent[0] : rect.extent[0]);
      var nh = (lTree.extent[3] > rect.extent[3] ?
          lTree.extent[3] : rect.extent[3]) -
          (lTree.extent[2] < rect.extent[2] ?
          lTree.extent[2] : rect.extent[2]);

      // Area of new enlarged rectangle
      var lRatio = ol.structs.RTree.squarifiedRatio_(
          nw, nh, lTree.nodes.length + 2);

      if (bestChoiceIndex < 0 ||
          Math.abs(lRatio - oldLRatio) < bestChoiceArea) {
        bestChoiceArea = Math.abs(lRatio - oldLRatio);
        bestChoiceIndex = i;
      }
    }
  } while (bestChoiceIndex != -1);

  return bestChoiceStack;
};


/**
 * Non-recursive insert function.
 *
 * @param {ol.Extent} extent Extent.
 * @param {Object} obj Object to insert.
 * @param {string=} opt_type Optional type to store along with the object.
 */
ol.structs.RTree.prototype.insert = function(extent, obj, opt_type) {
  var node = /** @type {ol.structs.RTreeNode} */
      ({extent: extent, leaf: obj});
  if (goog.isDef(opt_type)) {
    node.type = opt_type;
  }
  this.insertSubtree_(node, this.rootTree_);
};


/**
 * Non-recursive internal insert function.
 *
 * @param {ol.structs.RTreeNode} node Node to insert.
 * @param {ol.structs.RTreeNode} root Root to begin insertion at.
 * @private
 */
ol.structs.RTree.prototype.insertSubtree_ = function(node, root) {
  var bc; // Best Current node
  // Initial insertion is special because we resize the Tree and we don't
  // care about any overflow (seriously, how can the first object overflow?)
  if (root.nodes.length === 0) {
    root.extent = node.extent.concat();
    root.nodes.push(node);
    return;
  }

  // Find the best fitting leaf node
  // chooseLeaf returns an array of all tree levels (including root)
  // that were traversed while trying to find the leaf
  var treeStack = this.chooseLeafSubtree_(node, root);
  var workingObject = node;

  // Walk back up the tree resizing and inserting as needed
  do {
    //handle the case of an empty node (from a split)
    if (bc && goog.isDef(bc.nodes) && bc.nodes.length === 0) {
      var pbc = bc; // Past bc
      bc = treeStack.pop();
      for (var t = 0, tt = bc.nodes.length; t < tt; ++t) {
        if (bc.nodes[t] === pbc || bc.nodes[t].nodes.length === 0) {
          bc.nodes.splice(t, 1);
          break;
        }
      }
    } else {
      bc = treeStack.pop();
    }

    // If there is data attached to this workingObject
    var isArray = goog.isArray(workingObject);
    if (goog.isDef(workingObject.leaf) ||
        goog.isDef(workingObject.nodes) || isArray) {
      // Do Insert
      if (isArray) {
        for (var ai = 0, aii = workingObject.length; ai < aii; ++ai) {
          ol.extent.extend(bc.extent, workingObject[ai].extent);
        }
        bc.nodes = bc.nodes.concat(workingObject);
      } else {
        ol.extent.extend(bc.extent, workingObject.extent);
        bc.nodes.push(workingObject); // Do Insert
      }

      if (bc.nodes.length <= this.maxWidth_) { // Start Resizeing Up the Tree
        workingObject = {extent: bc.extent.concat()};
      } else { // Otherwise Split this Node
        // linearSplit_() returns an array containing two new nodes
        // formed from the split of the previous node's overflow
        var a = this.linearSplit_(bc.nodes);
        workingObject = a;//[1];

        if (treeStack.length < 1) { // If are splitting the root..
          bc.nodes.push(a[0]);
          treeStack.push(bc);     // Reconsider the root element
          workingObject = a[1];
        }
      }
    } else { // Otherwise Do Resize
      //Just keep applying the new bounding rectangle to the parents..
      ol.extent.extend(bc.extent, workingObject.extent);
      workingObject = ({extent: bc.extent.concat()});
    }
  } while (treeStack.length > 0);
};


/**
 * Split a set of nodes into two roughly equally-filled nodes.
 *
 * @param {Array.<ol.structs.RTreeNode>} nodes Array of nodes.
 * @private
 * @return {Array.<ol.structs.RTreeNode>} An array of two nodes.
 */
ol.structs.RTree.prototype.linearSplit_ = function(nodes) {
  var n = this.pickLinear_(nodes);
  while (nodes.length > 0) {
    this.pickNext_(nodes, n[0], n[1]);
  }
  return n;
};


/**
 * Pick the "best" two starter nodes to use as seeds using the "linear"
 * criteria.
 *
 * @param {Array.<ol.structs.RTreeNode>} nodes Array of source nodes.
 * @private
 * @return {Array.<ol.structs.RTreeNode>} An array of two nodes.
 */
ol.structs.RTree.prototype.pickLinear_ = function(nodes) {
  var lowestHighX = nodes.length - 1;
  var highestLowX = 0;
  var lowestHighY = nodes.length - 1;
  var highestLowY = 0;
  var t1, t2;

  for (var i = nodes.length - 2; i >= 0; --i) {
    var l = nodes[i];
    if (l.extent[0] > nodes[highestLowX].extent[0]) {
      highestLowX = i;
    } else if (l.extent[1] < nodes[lowestHighX].extent[2]) {
      lowestHighX = i;
    }
    if (l.extent[2] > nodes[highestLowY].extent[2]) {
      highestLowY = i;
    } else if (l.extent[3] < nodes[lowestHighY].extent[3]) {
      lowestHighY = i;
    }
  }
  var dx = Math.abs(nodes[lowestHighX].extent[1] -
      nodes[highestLowX].extent[0]);
  var dy = Math.abs(nodes[lowestHighY].extent[3] -
      nodes[highestLowY].extent[2]);
  if (dx > dy) {
    if (lowestHighX > highestLowX) {
      t1 = nodes.splice(lowestHighX, 1)[0];
      t2 = nodes.splice(highestLowX, 1)[0];
    } else {
      t2 = nodes.splice(highestLowX, 1)[0];
      t1 = nodes.splice(lowestHighX, 1)[0];
    }
  } else {
    if (lowestHighY > highestLowY) {
      t1 = nodes.splice(lowestHighY, 1)[0];
      t2 = nodes.splice(highestLowY, 1)[0];
    } else {
      t2 = nodes.splice(highestLowY, 1)[0];
      t1 = nodes.splice(lowestHighY, 1)[0];
    }
  }
  return [
    /** @type {ol.structs.RTreeNode} */
    ({extent: t1.extent.concat(), nodes: [t1]}),
    /** @type {ol.structs.RTreeNode} */
    ({extent: t2.extent.concat(), nodes: [t2]})
  ];
};


/**
 * Insert the best source rectangle into the best fitting parent node: a or b.
 *
 * @param {Array.<ol.structs.RTreeNode>} nodes Source node array.
 * @param {ol.structs.RTreeNode} a Target node array a.
 * @param {ol.structs.RTreeNode} b Target node array b.
 * @private
 */
ol.structs.RTree.prototype.pickNext_ = function(nodes, a, b) {
  // Area of new enlarged rectangle
  var areaA = ol.structs.RTree.squarifiedRatio_(a.extent[1] - a.extent[0],
      a.extent[3] - a.extent[2], a.nodes.length + 1);
  var areaB = ol.structs.RTree.squarifiedRatio_(b.extent[1] - b.extent[0],
      b.extent[3] - b.extent[2], b.nodes.length + 1);
  var highAreaDelta;
  var highAreaNode;
  var lowestGrowthGroup;

  for (var i = nodes.length - 1; i >= 0; --i) {
    var l = nodes[i];

    var newAreaA = [
      a.extent[0] < l.extent[0] ? a.extent[0] : l.extent[0],
      a.extent[1] > l.extent[1] ? a.extent[1] : l.extent[1],
      a.extent[2] < l.extent[2] ? a.extent[2] : l.extent[2],
      a.extent[3] > l.extent[3] ? a.extent[3] : l.extent[3]
    ];
    var changeNewAreaA = Math.abs(ol.structs.RTree.squarifiedRatio_(
        newAreaA[1] - newAreaA[0],
        newAreaA[3] - newAreaA[2], a.nodes.length + 2) - areaA);

    var newAreaB = [
      b.extent[0] < l.extent[0] ? b.extent[0] : l.extent[0],
      b.extent[1] > l.extent[1] ? b.extent[1] : l.extent[1],
      b.extent[2] < l.extent[2] ? b.extent[2] : l.extent[2],
      b.extent[3] > l.extent[3] ? b.extent[3] : l.extent[3]
    ];
    var changeNewAreaB = Math.abs(ol.structs.RTree.squarifiedRatio_(
        newAreaB[1] - newAreaB[0], newAreaB[3] - newAreaB[2],
        b.nodes.length + 2) - areaB);

    var changeNewAreaDelta = Math.abs(changeNewAreaB - changeNewAreaA);
    if (!highAreaNode || !highAreaDelta ||
        changeNewAreaDelta < highAreaDelta) {
      highAreaNode = i;
      highAreaDelta = changeNewAreaDelta;
      lowestGrowthGroup = changeNewAreaB < changeNewAreaA ? b : a;
    }
  }
  var tempNode = nodes.splice(highAreaNode, 1)[0];
  if (a.nodes.length + nodes.length + 1 <= this.minWidth_) {
    a.nodes.push(tempNode);
    ol.extent.extend(a.extent, tempNode.extent);
  } else if (b.nodes.length + nodes.length + 1 <= this.minWidth_) {
    b.nodes.push(tempNode);
    ol.extent.extend(b.extent, tempNode.extent);
  }
  else {
    lowestGrowthGroup.nodes.push(tempNode);
    ol.extent.extend(lowestGrowthGroup.extent, tempNode.extent);
  }
};


/**
 * Non-recursive function that deletes a specific region.
 *
 * @param {ol.Extent} extent Extent.
 * @param {Object=} opt_obj Object.
 * @return {Array} Result.
 * @this {ol.structs.RTree}
 */
ol.structs.RTree.prototype.remove = function(extent, opt_obj) {
  arguments[0] = /** @type {ol.structs.RTreeNode} */ ({extent: extent});
  switch (arguments.length) {
    case 1:
      arguments[1] = false; // opt_obj == false for conditionals
    case 2:
      arguments[2] = this.rootTree_; // Add root node to end of argument list
    default:
      arguments.length = 3;
  }
  if (arguments[1] === false) { // Do area-wide †
    var numberDeleted = 0;
    var result = [];
    do {
      numberDeleted = result.length;
      result = result.concat(this.removeSubtree_.apply(this, arguments));
    } while (numberDeleted != result.length);
    return result;
  } else { // Delete a specific item
    return this.removeSubtree_.apply(this, arguments);
  }
};


/**
 * Find the best specific node(s) for object to be deleted from.
 *
 * @param {ol.structs.RTreeNode} rect Rectangle.
 * @param {Object} obj Object.
 * @param {ol.structs.RTreeNode} root Root to start search.
 * @private
 * @return {Array} Leaf node parent.
 */
ol.structs.RTree.prototype.removeSubtree_ = function(rect, obj, root) {
  var hitStack = []; // Contains the elements that overlap
  var countStack = []; // Contains the elements that overlap
  var returnArray = [];
  var currentDepth = 1;

  if (!rect || !ol.extent.intersects(rect.extent, root.extent)) {
    return returnArray;
  }

  /** @type {ol.structs.RTreeNode} */
  var workingObject = /** @type {ol.structs.RTreeNode} */
      ({extent: rect.extent.concat(), target: obj});

  countStack.push(root.nodes.length);
  hitStack.push(root);

  do {
    var tree = hitStack.pop();
    var i = countStack.pop() - 1;

    if (goog.isDef(workingObject.target)) {
      // We are searching for a target
      while (i >= 0) {
        var lTree = tree.nodes[i];
        if (ol.extent.intersects(workingObject.extent, lTree.extent)) {
          if ((workingObject.target && goog.isDef(lTree.leaf) &&
              lTree.leaf === workingObject.target) ||
              (!workingObject.target && (goog.isDef(lTree.leaf) ||
              ol.extent.containsExtent(workingObject.extent, lTree.extent))))
          { // A Match !!
            // Yup we found a match...
            // we can cancel search and start walking up the list
            if (goog.isDef(lTree.nodes)) {
              // If we are deleting a node not a leaf...
              returnArray = this.searchSubtree_(lTree, true, [], lTree);
              tree.nodes.splice(i, 1);
            } else {
              returnArray = tree.nodes.splice(i, 1);
            }
            // Resize MBR down...
            ol.structs.RTree.recalculateExtent_(tree);
            workingObject.target = undefined;
            if (tree.nodes.length < this.minWidth_) { // Underflow
              workingObject.nodes = /** @type {Array} */
                  (this.searchSubtree_(tree, true, [], tree));
            }
            break;
          } else if (goog.isDef(lTree.nodes)) {
            // Not a Leaf
            currentDepth += 1;
            countStack.push(i);
            hitStack.push(tree);
            tree = lTree;
            i = lTree.nodes.length;
          }
        }
        i -= 1;
      }
    } else if (goog.isDef(workingObject.nodes)) {
      // We are unsplitting
      tree.nodes.splice(i + 1, 1); // Remove unsplit node
      // workingObject.nodes contains a list of elements removed from the
      // tree so far
      if (tree.nodes.length > 0) {
        ol.structs.RTree.recalculateExtent_(tree);
      }
      for (var t = 0, tt = workingObject.nodes.length; t < tt; ++t) {
        this.insertSubtree_(workingObject.nodes[t], tree);
      }
      workingObject.nodes.length = 0;
      if (hitStack.length === 0 && tree.nodes.length <= 1) {
        // Underflow..on root!
        workingObject.nodes = /** @type {Array} */
            (this.searchSubtree_(tree, true, workingObject.nodes, tree));
        tree.nodes.length = 0;
        hitStack.push(tree);
        countStack.push(1);
      } else if (hitStack.length > 0 && tree.nodes.length < this.minWidth_) {
        // Underflow..AGAIN!
        workingObject.nodes = /** @type {Array} */
            (this.searchSubtree_(tree, true, workingObject.nodes, tree));
        tree.nodes.length = 0;
      } else {
        workingObject.nodes = undefined; // Just start resizing
      }
    } else { // we are just resizing
      ol.structs.RTree.recalculateExtent_(tree);
    }
    currentDepth -= 1;
  } while (hitStack.length > 0);

  return returnArray;
};


/**
 * Non-recursive search function
 *
 * @param {ol.Extent} extent Extent.
 * @param {string=} opt_type Optional type of the objects we want to find.
 * @return {Array} Result.
 * @this {ol.structs.RTree}
 */
ol.structs.RTree.prototype.search = function(extent, opt_type) {
  var rect = /** @type {ol.structs.RTreeNode} */ ({extent: extent});
  return /** @type {Array} */ (
      this.searchSubtree_(rect, false, [], this.rootTree_, opt_type));
};


/**
 * Non-recursive search function
 *
 * @param {ol.Extent} extent Extent.
 * @param {string=} opt_type Optional type of the objects we want to find.
 * @return {Object} Result. Keys are UIDs of the values.
 * @this {ol.structs.RTree}
 */
ol.structs.RTree.prototype.searchReturningObject = function(extent, opt_type) {
  var rect = /** @type {ol.structs.RTreeNode} */ ({extent: extent});
  return /** @type {Object} */ (
      this.searchSubtree_(rect, false, [], this.rootTree_, opt_type, true));
};


/**
 * Non-recursive internal search function
 *
 * @param {ol.structs.RTreeNode} rect Rectangle.
 * @param {boolean} returnNode Do we return nodes?
 * @param {Array|Object} result Result.
 * @param {ol.structs.RTreeNode} root Root.
 * @param {string=} opt_type Optional type to search for.
 * @param {boolean=} opt_resultAsObject If set, result will be an object keyed
 *     by UID.
 * @private
 * @return {Array|Object} Result.
 */
ol.structs.RTree.prototype.searchSubtree_ = function(
    rect, returnNode, result, root, opt_type, opt_resultAsObject) {
  var resultObject = {};
  var hitStack = []; // Contains the elements that overlap

  if (!ol.extent.intersects(rect.extent, root.extent)) {
    return result;
  }

  hitStack.push(root.nodes);

  do {
    var nodes = hitStack.pop();

    for (var i = nodes.length - 1; i >= 0; --i) {
      var lTree = nodes[i];
      if (ol.extent.intersects(rect.extent, lTree.extent)) {
        if (goog.isDef(lTree.nodes)) { // Not a Leaf
          hitStack.push(lTree.nodes);
        } else if (goog.isDef(lTree.leaf)) { // A Leaf !!
          if (!returnNode) {
            // TODO keep track of type on all nodes so we don't have to
            // walk all the way in to the leaf to know that we don't need it
            if (!goog.isDef(opt_type) || lTree.type == opt_type) {
              var obj = lTree.leaf;
              if (goog.isDef(opt_resultAsObject)) {
                resultObject[goog.getUid(obj).toString()] = obj;
              } else {
                result.push(obj);
              }
            }
          } else {
            result.push(lTree);
          }
        }
      }
    }
  } while (hitStack.length > 0);

  if (goog.isDef(opt_resultAsObject)) {
    return resultObject;
  } else {
    return result;
  }
};