/******************************************************************************
 * $Id$
 *
 * Project:  MapServer
 * Purpose:  Implementation of the cluster layer data provider (RFC-69).
 * Author:   Tamas Szekeres (szekerest@gmail.com).
 *
 ******************************************************************************
 * Copyright (c) 1996-2005 Regents of the University of Minnesota.
 *
 * 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 of this Software or works derived from this 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.
 ****************************************************************************/

#define _CRT_SECURE_NO_WARNINGS 1

/* $Id$ */
#include <assert.h>
#include "mapserver.h"




#ifdef USE_CLUSTER_PLUGIN
#define USE_CLUSTER_EXTERNAL
#endif

/* custom attributes provided by this layer data source */
#define MSCLUSTER_NUMITEMS        3
#define MSCLUSTER_FEATURECOUNT    "Cluster_FeatureCount"
#define MSCLUSTER_FEATURECOUNTINDEX   -100
#define MSCLUSTER_GROUP    "Cluster_Group"
#define MSCLUSTER_GROUPINDEX   -101
#define MSCLUSTER_BASEFID    "Cluster_BaseFID"
#define MSCLUSTER_BASEFIDINDEX   -102

typedef struct cluster_tree_node clusterTreeNode;
typedef struct cluster_info clusterInfo;
typedef struct cluster_layer_info msClusterLayerInfo;

/* forward declarations */
void msClusterLayerCopyVirtualTable(layerVTableObj* vtable);
static void clusterTreeNodeDestroy(msClusterLayerInfo* layerinfo, clusterTreeNode *node);

/* cluster compare func */
typedef int (*clusterCompareRegionFunc)(clusterInfo* current, clusterInfo* other);

/* quadtree constants */
#define SPLITRATIO  0.55
#define TREE_MAX_DEPTH  10

/* cluster data */
struct cluster_info {
  double x;    /* x position of the current point */
  double y;    /* y position of the current point */
  double avgx; /* average x positions of this cluster */
  double avgy; /* average y positions of this cluster */
  double varx; /* variance of the x positions of this cluster */
  double vary; /* variance of the y positions of this cluster */
  shapeObj shape; /* current shape */
  rectObj bounds; /* clustering region */
  /* number of the neighbouring shapes */
  int numsiblings;
  /* diagnostics */
  int numcollected;
  int numremoved;
  int index;
  clusterTreeNode* node;
  /* collection of the siblings */
  clusterInfo* siblings;
  /* next shape in the linked list */
  clusterInfo* next;
  /* current group */
  char* group;
  int filter;
};

/* quadtree node */
struct cluster_tree_node {
  /* area covered by this node */
  rectObj rect;
  /* linked list of the shapes stored at this node. */
  int numshapes;
  int index;
  int position;
  clusterInfo* shapes;
  /* quad tree subnodes */
  clusterTreeNode* subnode[4];
};

/* layeinfo */
struct cluster_layer_info {
  /* array of features (finalized clusters) */
  clusterInfo* finalized;
  clusterInfo* finalizedSiblings;
  clusterInfo* filtered;
  int numFeatures;
  int numFinalized;
  int numFinalizedSiblings;
  int numFiltered;
  /* variables for collecting the best cluster and iterating with NextShape */
  clusterInfo* current;
  /* check whether all shapes should be returned behind a cluster */
  int get_all_shapes;
  /* check whether the location of the shapes should be preserved (no averaging) */
  int keep_locations;
  /* the maxdistance and the buffer parameters are specified in map units (scale independent clustering) */
  int use_map_units;
  double rank;
  /* root node of the quad tree */
  clusterTreeNode* root;
  int numNodes;
  clusterTreeNode* finalizedNodes;
  int numFinalizedNodes;
  /* map extent used for building cluster data */
  rectObj searchRect;
  /* source layer parameters */
  layerObj srcLayer;
  /* distance comparator function */
  clusterCompareRegionFunc fnCompare;
  /* diagnostics */
  int depth;
};


extern int yyparse(parseObj *p);

/* evaluate the filter expression */
int msClusterEvaluateFilter(expressionObj* expression, shapeObj *shape)
{
  if (expression->type == MS_EXPRESSION) {
    int status;
    parseObj p;

    p.shape = shape;
    p.expr = expression;
    p.expr->curtoken = p.expr->tokens; /* reset */
    p.type = MS_PARSE_TYPE_BOOLEAN;

    status = yyparse(&p);

    if (status != 0) {
      msSetError(MS_PARSEERR, "Failed to parse expression: %s", "msClusterEvaluateFilter", expression->string);
      return 0;
    }

    return p.result.intval;
  }

  return 0;
}

/* get the group text when creating the clusters */
char *msClusterGetGroupText(expressionObj* expression, shapeObj *shape)
{
  char *tmpstr=NULL;

  if(expression->string) {
    switch(expression->type) {
      case(MS_STRING):
        tmpstr = msStrdup(expression->string);
        break;
      case(MS_EXPRESSION): {
        int status;
        parseObj p;

        p.shape = shape;
        p.expr = expression;
        p.expr->curtoken = p.expr->tokens; /* reset */
        p.type = MS_PARSE_TYPE_STRING;

        status = yyparse(&p);

        if (status != 0) {
          msSetError(MS_PARSEERR, "Failed to process text expression: %s", "msClusterGetGroupText", expression->string);
          return NULL;
        }

        tmpstr = p.result.strval;
        break;
      }
      default:
        break;
    }
  }

  return(tmpstr);
}

int CompareEllipseRegion(clusterInfo* current, clusterInfo* other)
{
  if (current->group && other->group && !EQUAL(current->group, other->group))
    return MS_FALSE;

  if ((other->x - current->x) * (other->x - current->x) /
      ((current->bounds.maxx - current->x) * (current->bounds.maxx - current->x)) +
      (other->y - current->y) * (other->y - current->y) /
      ((current->bounds.maxy - current->y) * (current->bounds.maxy - current->y)) > 1)
    return MS_FALSE;

  return MS_TRUE;
}

int CompareRectangleRegion(clusterInfo* current, clusterInfo* other)
{
  if (current->group && other->group && !EQUAL(current->group, other->group))
    return MS_FALSE;

  if (other->x < current->bounds.minx)
    return MS_FALSE;
  if (other->x > current->bounds.maxx)
    return MS_FALSE;
  if (other->y < current->bounds.miny)
    return MS_FALSE;
  if (other->y > current->bounds.maxy)
    return MS_FALSE;

  return MS_TRUE;
}

static void treeSplitBounds( rectObj *in, rectObj *out1, rectObj *out2)
{
  double range;

  /* -------------------------------------------------------------------- */
  /*      The output bounds will be very similar to the input bounds,     */
  /*      so just copy over to start.                                     */
  /* -------------------------------------------------------------------- */
  memcpy(out1, in, sizeof(rectObj));
  memcpy(out2, in, sizeof(rectObj));

  /* -------------------------------------------------------------------- */
  /*      Split in X direction.                                           */
  /* -------------------------------------------------------------------- */
  if((in->maxx - in->minx) > (in->maxy - in->miny)) {
    range = in->maxx - in->minx;

    out1->maxx = in->minx + range * SPLITRATIO;
    out2->minx = in->maxx - range * SPLITRATIO;
  }

  /* -------------------------------------------------------------------- */
  /*      Otherwise split in Y direction.                                 */
  /* -------------------------------------------------------------------- */
  else {
    range = in->maxy - in->miny;

    out1->maxy = in->miny + range * SPLITRATIO;
    out2->miny = in->maxy - range * SPLITRATIO;
  }
}

/* alloc memory for a new tentative cluster */
static clusterInfo *clusterInfoCreate(msClusterLayerInfo* layerinfo)
{
  clusterInfo* feature = (clusterInfo*)msSmallMalloc(sizeof(clusterInfo));
  msInitShape(&feature->shape);
  feature->numsiblings = 0;
  feature->numcollected = 0;
  feature->numremoved = 0;
  feature->next = NULL;
  feature->group = NULL;
  feature->node = NULL;
  feature->siblings = NULL;
  feature->index = layerinfo->numFeatures;
  feature->filter = -1; /* not yet calculated */
  ++layerinfo->numFeatures;
  return feature;
}

/* destroy memory of the cluster list */
static void clusterInfoDestroyList(msClusterLayerInfo* layerinfo, clusterInfo* feature)
{
  clusterInfo* s = feature;
  clusterInfo* next;
  /* destroy the shapes added to this node */
  while (s) {
    next = s->next;
    if (s->siblings) {
      clusterInfoDestroyList(layerinfo, s->siblings);
    }
    msFreeShape(&s->shape);
    msFree(s->group);
    msFree(s);
    --layerinfo->numFeatures;
    s = next;
  }
}

/* alloc memory for a new treenode */
static clusterTreeNode *clusterTreeNodeCreate(msClusterLayerInfo* layerinfo, rectObj rect)
{
  clusterTreeNode* node = (clusterTreeNode*)msSmallMalloc(sizeof(clusterTreeNode));
  node->rect = rect;
  node->numshapes = 0;
  node->shapes = NULL;
  node->subnode[0] = node->subnode[1] = node->subnode[2] = node->subnode[3] = NULL;
  node->index = layerinfo->numNodes;
  node->position = 0;
  ++layerinfo->numNodes;
  return node;
}

/* traverse the quadtree and destroy all sub elements */
static void clusterTreeNodeDestroy(msClusterLayerInfo* layerinfo, clusterTreeNode *node)
{
  int i;
  /* destroy the shapes added to this node */
  clusterInfoDestroyList(layerinfo, node->shapes);

  /* Recurse to subnodes if they exist */
  for (i = 0; i < 4; i++) {
    if (node->subnode[i])
      clusterTreeNodeDestroy(layerinfo, node->subnode[i]);
  }

  msFree(node);
  --layerinfo->numNodes;
}

/* destroy memory of the cluster finalized list (without recursion) */
static void clusterTreeNodeDestroyList(msClusterLayerInfo* layerinfo, clusterTreeNode *node)
{
  clusterTreeNode* n = node;
  clusterTreeNode* next;
  /* destroy the list of nodes */
  while (n) {
    next = n->subnode[0];
    n->subnode[0] = NULL;
    clusterTreeNodeDestroy(layerinfo, n);
    --layerinfo->numFinalizedNodes;
    n = next;
  }
}

void clusterDestroyData(msClusterLayerInfo *layerinfo)
{
  if (layerinfo->finalized) {
    clusterInfoDestroyList(layerinfo, layerinfo->finalized);
    layerinfo->finalized = NULL;
  }
  layerinfo->numFinalized = 0;

  if (layerinfo->finalizedSiblings) {
    clusterInfoDestroyList(layerinfo, layerinfo->finalizedSiblings);
    layerinfo->finalizedSiblings = NULL;
  }
  layerinfo->numFinalizedSiblings = 0;

  if (layerinfo->filtered) {
    clusterInfoDestroyList(layerinfo, layerinfo->filtered);
    layerinfo->filtered = NULL;
  }
  layerinfo->numFiltered = 0;

  if (layerinfo->finalizedNodes) {
    clusterTreeNodeDestroyList(layerinfo, layerinfo->finalizedNodes);
    layerinfo->finalizedNodes = NULL;
  }

  layerinfo->numFinalizedNodes = 0;

  if (layerinfo->root) {
    clusterTreeNodeDestroy(layerinfo, layerinfo->root);
    layerinfo->root = NULL;
  }

  layerinfo->numNodes = 0;
}

/* traverse the quadtree to find the neighbouring shapes and update some data
on the related shapes (when adding a new feature)*/
static void findRelatedShapes(msClusterLayerInfo* layerinfo,
                              clusterTreeNode *node, clusterInfo* current)
{
  int i;
  clusterInfo* s;

  /* -------------------------------------------------------------------- */
  /*      Does this node overlap the area of interest at all?  If not,    */
  /*      return without adding to the list at all.                       */
  /* -------------------------------------------------------------------- */
  if(!msRectOverlap(&node->rect, &current->bounds))
    return;

  /* Modify the feature count of the related shapes */
  s = node->shapes;
  while (s) {
    if (layerinfo->fnCompare(current, s)) {
      ++current->numsiblings;
      /* calculating the average positions */
      current->avgx = (current->avgx * current->numsiblings + s->x) / (current->numsiblings + 1);
      current->avgy = (current->avgy * current->numsiblings + s->y) / (current->numsiblings + 1);
      /* calculating the variance */
      current->varx = current->varx * current->numsiblings / (current->numsiblings + 1) +
                      (s->x - current->avgx) * (s->x - current->avgx) / (current->numsiblings + 1);
      current->vary = current->vary * current->numsiblings / (current->numsiblings + 1) +
                      (s->y - current->avgy) * (s->y - current->avgy) / (current->numsiblings + 1);

      if (layerinfo->fnCompare(s, current)) {
        /* this feature falls into the region of the other as well */
        ++s->numsiblings;
        /* calculating the average positions */
        s->avgx = (s->avgx * s->numsiblings + current->x) / (s->numsiblings + 1);
        s->avgy = (s->avgy * s->numsiblings + current->y) / (s->numsiblings + 1);
        /* calculating the variance */
        s->varx = s->varx * s->numsiblings / (s->numsiblings + 1) +
                  (current->x - s->avgx) * (current->x - s->avgx) / (s->numsiblings + 1);
        s->vary = s->vary * s->numsiblings / (s->numsiblings + 1) +
                  (current->y - s->avgy) * (current->y - s->avgy) / (s->numsiblings + 1);
      }
    }
    s = s->next;
  }

  if (node->subnode[0] == NULL)
    return;

  /* Recurse to subnodes if they exist */
  for (i = 0; i < 4; i++) {
    if (node->subnode[i])
      findRelatedShapes(layerinfo, node->subnode[i], current);
  }
}

/* traverse the quadtree to find the neighbouring shapes and update some data
on the related shapes (when removing a feature) */
static void findRelatedShapesRemove(msClusterLayerInfo* layerinfo, clusterTreeNode *node, clusterInfo* current)
{
  int i;
  clusterInfo* s;

  /* -------------------------------------------------------------------- */
  /*      Does this node overlap the area of interest at all?  If not,    */
  /*      return without adding to the list at all.                       */
  /* -------------------------------------------------------------------- */
  if(!msRectOverlap(&node->rect, &current->bounds))
    return;

  /* Modify the feature count of the related shapes */
  s = node->shapes;
  while (s) {
    if (layerinfo->fnCompare(current, s)) {
      if (s->numsiblings > 0) {
        /* calculating the average positions */
        s->avgx = (s->avgx * (s->numsiblings + 1) - current->x) / s->numsiblings;
        s->avgy = (s->avgy * (s->numsiblings + 1) - current->y) / s->numsiblings;
        /* calculating the variance */
        s->varx = (s->varx - (current->x - s->avgx) * (current->x - s->avgx) / s->numsiblings) *
                  (s->numsiblings + 1) / s->numsiblings;
        s->vary = (s->vary - (current->y - s->avgy) * (current->y - s->avgy) / s->numsiblings) *
                  (s->numsiblings + 1) / s->numsiblings;
        --s->numsiblings;
        ++s->numremoved;
      }
    }
    s = s->next;
  }

  /* Recurse to subnodes if they exist */
  for (i = 0; i < 4; i++) {
    if (node->subnode[i])
      findRelatedShapesRemove(layerinfo, node->subnode[i], current);
  }
}

/* setting the aggregated attributes */
static void InitShapeAttributes(layerObj* layer, clusterInfo* base)
{
  int i;
  int* itemindexes = layer->iteminfo;

  for (i = 0; i < layer->numitems; i++) {
    if (base->shape.numvalues <= i)
      break;

    if (itemindexes[i] == MSCLUSTER_FEATURECOUNTINDEX) {
      if (base->shape.values[i])
        msFree(base->shape.values[i]);

      base->shape.values[i] = msIntToString(base->numsiblings + 1);
    } else if (itemindexes[i] == MSCLUSTER_GROUPINDEX) {
      if (base->shape.values[i])
        msFree(base->shape.values[i]);

      if (base->group)
        base->shape.values[i] = msStrdup(base->group);
      else
        base->shape.values[i] = msStrdup("");
    } else if (itemindexes[i] == MSCLUSTER_BASEFIDINDEX) {
      if (base->shape.values[i])
        msFree(base->shape.values[i]);

      base->shape.values[i] = msIntToString(base->shape.index);
    } else if (EQUALN(layer->items[i], "Count:", 6)) {
      if (base->shape.values[i])
        msFree(base->shape.values[i]);

      base->shape.values[i] = msStrdup("1"); /* initial count */
    }
  }
}

/* update the shape attributes (aggregate) */
static void UpdateShapeAttributes(layerObj* layer, clusterInfo* base, clusterInfo* current)
{
  int i;
  int* itemindexes = layer->iteminfo;

  for (i = 0; i < layer->numitems; i++) {
    if (base->shape.numvalues <= i)
      break;

    if (itemindexes[i] == MSCLUSTER_FEATURECOUNTINDEX ||
        itemindexes[i] == MSCLUSTER_GROUPINDEX)
      continue;

    if (current->shape.numvalues <= i)
      break;

    /* setting the base feature index for each cluster member */
    if (itemindexes[i] == MSCLUSTER_BASEFIDINDEX) {
        msFree(current->shape.values[i]);
        current->shape.values[i] = msIntToString(base->shape.index);
    }

    if (current->shape.values[i]) {
      if (EQUALN(layer->items[i], "Min:", 4)) {
        if (strcasecmp(base->shape.values[i], current->shape.values[i]) > 0) {
          msFree(base->shape.values[i]);
          base->shape.values[i] = msStrdup(current->shape.values[i]);
        }
      } else if (EQUALN(layer->items[i], "Max:", 4)) {
        if (strcasecmp(base->shape.values[i], current->shape.values[i]) < 0) {
          msFree(base->shape.values[i]);
          base->shape.values[i] = msStrdup(current->shape.values[i]);
        }
      } else if (EQUALN(layer->items[i], "Sum:", 4)) {
        double sum = atof(base->shape.values[i]) + atof(current->shape.values[i]);
        msFree(base->shape.values[i]);
        base->shape.values[i] = msDoubleToString(sum, MS_FALSE);
      } else if (EQUALN(layer->items[i], "Count:", 6)) {
        int count = atoi(base->shape.values[i]) + 1;
        msFree(base->shape.values[i]);
        base->shape.values[i] = msIntToString(count);
      }
    }
  }
}

static int BuildFeatureAttributes(layerObj* layer, msClusterLayerInfo* layerinfo, shapeObj* shape)
{
  char** values;
  int i;
  int* itemindexes = layer->iteminfo;

  if (layer->numitems == layerinfo->srcLayer.numitems)
    return MS_SUCCESS; /* we don't have custom attributes, no need to reconstruct the array */

  values = msSmallMalloc(sizeof(char*) * (layer->numitems));

  for (i = 0; i < layer->numitems; i++) {
    if (itemindexes[i] == MSCLUSTER_FEATURECOUNTINDEX) {
      values[i] = NULL; /* not yet assigned */
    } else if (itemindexes[i] == MSCLUSTER_GROUPINDEX) {
      values[i] = NULL; /* not yet assigned */
    } else if (itemindexes[i] == MSCLUSTER_BASEFIDINDEX) {
      values[i] = NULL; /* not yet assigned */
    } else if (shape->values[itemindexes[i]])
      values[i] = msStrdup(shape->values[itemindexes[i]]);
    else
      values[i] = msStrdup("");
  }

  if (shape->values)
    msFreeCharArray(shape->values, shape->numvalues);

  shape->values = values;
  shape->numvalues = layer->numitems;

  return MS_SUCCESS;
}

/* traverse the quadtree to find the best renking cluster */
static void findBestCluster(layerObj* layer, msClusterLayerInfo* layerinfo, clusterTreeNode *node)
{
  int i;
  double rank;
  clusterInfo* s = node->shapes;
  while (s) {
    if (s->filter < 0 && layer->cluster.filter.string != NULL) {
      InitShapeAttributes(layer, s);
      s->filter = msClusterEvaluateFilter(&layer->cluster.filter, &s->shape);
    }

    if (s->numsiblings == 0 || s->filter == 0) {
      /* individual or filtered shapes must be removed for sure */
      layerinfo->current = s;
      return;
    }

    /* calculating the rank */
    rank = (s->x - s->avgx) * (s->x - s->avgx) + (s->y - s->avgy) * (s->y - s->avgy) /*+ s->varx + s->vary*/ + (double)1/ (1 + s->numsiblings);

    if (rank < layerinfo->rank) {
      layerinfo->current = s;
      layerinfo->rank = rank;
    }
    s = s->next;
  }

  /* Recurse to subnodes if they exist */
  for (i = 0; i < 4; i++) {
    if (node->subnode[i])
      findBestCluster(layer, layerinfo, node->subnode[i]);
  }
}

/* adding the shape based on the shape bounds (point) */
static int treeNodeAddShape(msClusterLayerInfo* layerinfo, clusterTreeNode* node, clusterInfo* shape, int depth)
{
  int i;

  /* -------------------------------------------------------------------- */
  /*      If there are subnodes, then consider whether this object        */
  /*      will fit in them.                                               */
  /* -------------------------------------------------------------------- */
  if( depth > 1 && node->subnode[0] != NULL ) {
    for(i = 0; i < 4; i++ ) {
      if( msRectContained(&shape->shape.bounds, &node->subnode[i]->rect)) {
        return treeNodeAddShape( layerinfo, node->subnode[i], shape, depth-1);
      }
    }
  }

  /* -------------------------------------------------------------------- */
  /*      Otherwise, consider creating four subnodes if could fit into    */
  /*      them, and adding to the appropriate subnode.                    */
  /* -------------------------------------------------------------------- */
  else if( depth > 1 && node->subnode[0] == NULL ) {
    rectObj half1, half2, quad1, quad2, quad3, quad4;
    int subnode = -1;

    treeSplitBounds(&node->rect, &half1, &half2);
    treeSplitBounds(&half1, &quad1, &quad2);
    treeSplitBounds(&half2, &quad3, &quad4);

    if(msRectContained(&shape->shape.bounds, &quad1))
      subnode = 0;
    else if(msRectContained(&shape->shape.bounds, &quad2))
      subnode = 1;
    else if(msRectContained(&shape->shape.bounds, &quad3))
      subnode = 2;
    else if(msRectContained(&shape->shape.bounds, &quad4))
      subnode = 3;

    if (subnode >= 0) {
      if ((node->subnode[0] = clusterTreeNodeCreate(layerinfo, quad1)) == NULL)
        return MS_FAILURE;
      node->subnode[0]->position = node->position * 4;

      if ((node->subnode[1] = clusterTreeNodeCreate(layerinfo, quad2)) == NULL)
        return MS_FAILURE;
      node->subnode[1]->position = node->position * 4 + 1;

      if ((node->subnode[2] = clusterTreeNodeCreate(layerinfo, quad3)) == NULL)
        return MS_FAILURE;
      node->subnode[2]->position = node->position * 4 + 2;

      if ((node->subnode[3] = clusterTreeNodeCreate(layerinfo, quad4)) == NULL)
        return MS_FAILURE;
      node->subnode[3]->position = node->position * 4 + 3;

      /* add to subnode */
      return treeNodeAddShape(layerinfo, node->subnode[subnode], shape, depth-1);
    }
  }

  /* found the right place, add this shape to the node */
  node->numshapes++;
  shape->next = node->shapes;
  node->shapes = shape;
  shape->node = node;

  return MS_SUCCESS;
}

/* collecting the cluster shapes, returns true if this subnode must be removed */
static int collectClusterShapes(msClusterLayerInfo* layerinfo, clusterTreeNode *node, clusterInfo* current)
{
  int i;
  clusterInfo* prev = NULL;
  clusterInfo* s = node->shapes;

  if(!msRectOverlap(&node->rect, &current->bounds))
    return (!node->shapes && !node->subnode[0] && !node->subnode[1]
            && !node->subnode[2] && !node->subnode[3]);

  /* removing the shapes from this node if overlap with the cluster */
  while (s) {
    if (s == current || layerinfo->fnCompare(current, s)) {
      if (s != current && current->filter == 0) {
        /* skip siblings of the filtered shapes */
        prev = s;
        s = prev->next;
        continue;
      }

      /* removing from the list */
      if (!prev)
        node->shapes = s->next;
      else
        prev->next = s->next;

      ++current->numcollected;

      /* adding the shape to the finalization list */
      if (s == current) {
        if (s->filter) {
          s->next = layerinfo->finalized;
          layerinfo->finalized = s;
          ++layerinfo->numFinalized;
        } else {
          /* this shape is filtered */
          s->next = layerinfo->filtered;
          layerinfo->filtered = s;
          ++layerinfo->numFiltered;
        }
      } else {
        s->next = layerinfo->finalizedSiblings;
        layerinfo->finalizedSiblings = s;
        ++layerinfo->numFinalizedSiblings;
      }

      if (!prev)
        s = node->shapes;
      else
        s = prev->next;
    } else {
      prev = s;
      s = prev->next;
    }
  }

  /* Recurse to subnodes if they exist */
  for (i = 0; i < 4; i++) {
    if (node->subnode[i] && collectClusterShapes(layerinfo, node->subnode[i], current)) {
      /* placing this empty node to the finalization queue */
      node->subnode[i]->subnode[0] = layerinfo->finalizedNodes;
      layerinfo->finalizedNodes = node->subnode[i];
      node->subnode[i] = NULL;
      ++layerinfo->numFinalizedNodes;
    }
  }

  /* returns true is this subnode must be removed */
  return (!node->shapes && !node->subnode[0] && !node->subnode[1]
          && !node->subnode[2] && !node->subnode[3]);
}

int selectClusterShape(layerObj* layer, long shapeindex)
{
  int i;
  clusterInfo* current;
  msClusterLayerInfo* layerinfo = (msClusterLayerInfo*)layer->layerinfo;

  if (!layerinfo) {
    msSetError(MS_MISCERR, "Layer not open: %s", "selectClusterShape()", layer->name);
    return MS_FAILURE;
  }

  i = 0;
  current = layerinfo->finalized;
  while (current && i < shapeindex) {
    ++i;
    current = current->next;
  }

  current->next = current->siblings;
  layerinfo->current = current;

  if (layerinfo->keep_locations == MS_FALSE) {
    current->shape.line[0].point[0].x = current->shape.bounds.minx = current->shape.bounds.maxx = current->avgx;
    current->shape.line[0].point[0].y = current->shape.bounds.miny = current->shape.bounds.maxy = current->avgy;
  }

  return MS_SUCCESS;
}

/* update the parameters from the related shapes */
#ifdef ms_notused
static void UpdateClusterParameters(msClusterLayerInfo* layerinfo, clusterTreeNode *node, clusterInfo *shape)
{
  int i;
  clusterInfo* s = node->shapes;

  while (s) {
    if (layerinfo->fnCompare(shape, s)) {
      shape->avgx += s->x;
      shape->avgy += s->y;
      ++shape->numsiblings;
    }
    s = s->next;
  }

  /* Recurse to subnodes if they exist */
  for (i = 0; i < 4; i++) {
    if (node->subnode[i])
      UpdateClusterParameters(layerinfo, node->subnode[i], shape);
  }
}

/* check for the validity of the clusters added to the tree (for debug purposes) */
static int ValidateTree(msClusterLayerInfo* layerinfo, clusterTreeNode *node)
{
  int i;
  int isValid = MS_TRUE;

  clusterInfo* s = node->shapes;
  while (s) {
    double avgx = s->avgx;
    double avgy = s->avgy;
    int numsiblings = s->numsiblings;

    s->avgx = 0;
    s->avgy = 0;
    s->numsiblings = 0;

    UpdateClusterParameters(layerinfo, layerinfo->root, s);

    if (numsiblings + 1 != s->numsiblings)
      isValid = MS_FALSE;
    else if ((avgx * s->numsiblings - s->avgx) / s->avgx > 0.000001)
      isValid = MS_FALSE;
    else if ((avgy * s->numsiblings - s->avgy) / s->avgy > 0.000001)
      isValid = MS_FALSE;

    s->avgx = avgx;
    s->avgy = avgy;
    s->numsiblings = numsiblings;

    if (isValid == MS_FALSE)
      return MS_FALSE;

    s = s->next;
  }

  /* Recurse to subnodes if they exist */
  for (i = 0; i < 4; i++) {
    if (node->subnode[i] && ValidateTree(layerinfo, node->subnode[i]) == MS_FALSE)
      return MS_FALSE;
  }

  /* returns true if this node contains only valid clusters */
  return MS_TRUE;
}
#endif

/* rebuild the clusters according to the current extent */
int RebuildClusters(layerObj *layer, int isQuery)
{
  mapObj* map;
  layerObj* srcLayer;
  double distance, maxDistanceX, maxDistanceY, cellSizeX, cellSizeY;
  rectObj searchrect;
  int status;
  clusterInfo* current;
  int depth;
#ifdef USE_CLUSTER_EXTERNAL
  int layerIndex;
#endif

  msClusterLayerInfo* layerinfo = layer->layerinfo;

  if (!layerinfo) {
    msSetError(MS_MISCERR, "Layer is not open: %s", "RebuildClusters()", layer->name);
    return MS_FAILURE;
  }

  if (!layer->map) {
    msSetError(MS_MISCERR, "No map associated with this layer: %s", "RebuildClusters()", layer->name);
    return MS_FAILURE;
  }

  if (layer->debug >= MS_DEBUGLEVEL_VVV)
    msDebug("Clustering started.\n");

  map = layer->map;

  layerinfo->current = layerinfo->finalized; /* restart */

  /* check whether all shapes should be returned from a query */
  if(msLayerGetProcessingKey(layer, "CLUSTER_GET_ALL_SHAPES") != NULL)
    layerinfo->get_all_shapes = MS_TRUE;
  else
    layerinfo->get_all_shapes = MS_FALSE;

  /* check whether the location of the shapes should be preserved (no averaging) */
  if(msLayerGetProcessingKey(layer, "CLUSTER_KEEP_LOCATIONS") != NULL)
    layerinfo->keep_locations = MS_TRUE;
  else
    layerinfo->keep_locations = MS_FALSE;

  /* check whether the maxdistance and the buffer parameters 
  are specified in map units (scale independent clustering) */
  if(msLayerGetProcessingKey(layer, "CLUSTER_USE_MAP_UNITS") != NULL)
    layerinfo->use_map_units = MS_TRUE;
  else
    layerinfo->use_map_units = MS_FALSE;

  /* identify the current extent */
  if(layer->transform == MS_TRUE)
    searchrect = map->extent;
  else {
    searchrect.minx = searchrect.miny = 0;
    searchrect.maxx = map->width-1;
    searchrect.maxy = map->height-1;
  }

  if (searchrect.minx == layerinfo->searchRect.minx &&
      searchrect.miny == layerinfo->searchRect.miny &&
      searchrect.maxx == layerinfo->searchRect.maxx &&
      searchrect.maxy == layerinfo->searchRect.maxy) {
    /* already built */
    return MS_SUCCESS;
  }

  /* destroy previous data*/
  clusterDestroyData(layerinfo);

  layerinfo->searchRect = searchrect;

  /* reproject the rectangle to layer coordinates */
#ifdef USE_PROJ
  if((map->projection.numargs > 0) && (layer->projection.numargs > 0))
    msProjectRect(&map->projection, &layer->projection, &searchrect); /* project the searchrect to source coords */
#endif

  /* determine the compare method */
  layerinfo->fnCompare = CompareRectangleRegion;
  if (layer->cluster.region) {
    if (EQUAL(layer->cluster.region, "ellipse"))
      layerinfo->fnCompare = CompareEllipseRegion;
  }

  /* trying to find a reasonable quadtree depth */
  depth = 0;
  distance = layer->cluster.maxdistance;
  if (layerinfo->use_map_units == MS_TRUE) {
    while ((distance < (searchrect.maxx - searchrect.minx) || distance < (searchrect.maxy - searchrect.miny)) && depth <= TREE_MAX_DEPTH) {
      distance *= 2;
      ++depth;
    }
    cellSizeX = 1;
    cellSizeY = 1;
  }
  else {
    while ((distance < map->width || distance < map->height) && depth <= TREE_MAX_DEPTH) {
      distance *= 2;
      ++depth;
    }
    cellSizeX = MS_CELLSIZE(searchrect.minx, searchrect.maxx, map->width);
    cellSizeY = MS_CELLSIZE(searchrect.miny, searchrect.maxy, map->height);
  }

  layerinfo->depth = depth;

  maxDistanceX = layer->cluster.maxdistance * cellSizeX;
  maxDistanceY = layer->cluster.maxdistance * cellSizeY;

  /* increase the search rectangle so that the neighbouring shapes are also retrieved */
  searchrect.minx -= layer->cluster.buffer * cellSizeX;
  searchrect.maxx += layer->cluster.buffer * cellSizeX;
  searchrect.miny -= layer->cluster.buffer * cellSizeY;
  searchrect.maxy += layer->cluster.buffer * cellSizeY;

  /* create the root node */
  if (layerinfo->root)
    clusterTreeNodeDestroy(layerinfo, layerinfo->root);
  layerinfo->root = clusterTreeNodeCreate(layerinfo, searchrect);

  srcLayer = &layerinfo->srcLayer;

  /* start retrieving the shapes */
  status = msLayerWhichShapes(srcLayer, searchrect, isQuery);
  if(status == MS_DONE) {
    /* no overlap */
    return MS_SUCCESS;
  } else if(status != MS_SUCCESS) {
    return MS_FAILURE;
  }

  /* step through the source shapes and populate the quadtree with the tentative clusters */
  if ((current = clusterInfoCreate(layerinfo)) == NULL)
    return MS_FAILURE;

  while((status = msLayerNextShape(srcLayer, &current->shape)) == MS_SUCCESS) {
#if defined(USE_PROJ) && defined(USE_CLUSTER_EXTERNAL)
    /* transform the shape to the projection of this layer */
    if(srcLayer->transform == MS_TRUE && srcLayer->project && layer->transform == MS_TRUE && layer->project &&msProjectionsDiffer(&(srcLayer->projection), &(layer->projection)))
      msProjectShape(&srcLayer->projection, &layer->projection, &current->shape);
#endif
    /* set up positions and variance */
    current->avgx = current->x = current->shape.bounds.minx;
    current->avgy = current->y = current->shape.bounds.miny;
    current->varx = current->vary = 0;
    /* set up the area of interest when searching for the neighboring shapes */
    current->bounds.minx = current->x - maxDistanceX;
    current->bounds.miny = current->y - maxDistanceY;
    current->bounds.maxx = current->x + maxDistanceX;
    current->bounds.maxy = current->y + maxDistanceY;

    /* if the shape doesn't overlap we must skip it to avoid further issues */
    if(!msRectOverlap(&searchrect, &current->bounds)) {
      msFreeShape(&current->shape);
      msInitShape(&current->shape);

      msDebug("Skipping an invalid shape falling outside of the given extent\n");
      continue;
    }

    /* construct the item array */
    if (layer->iteminfo)
      BuildFeatureAttributes(layer, layerinfo, &current->shape);

    /* evaluate the group expression */
    if (layer->cluster.group.string)
      current->group = msClusterGetGroupText(&layer->cluster.group, &current->shape);

    /*start a query for the related shapes */
    findRelatedShapes(layerinfo, layerinfo->root, current);

    /* add this shape to the tree */
    if (treeNodeAddShape(layerinfo, layerinfo->root, current, depth) != MS_SUCCESS) {
      clusterInfoDestroyList(layerinfo, current);
      return MS_FAILURE;
    }

    if ((current = clusterInfoCreate(layerinfo)) == NULL) {
      clusterInfoDestroyList(layerinfo, current);
      return MS_FAILURE;
    }
  }

  clusterInfoDestroyList(layerinfo, current);

  while (layerinfo->root) {
#ifdef TESTCOUNT
    int n;
    double avgx, avgy;
#endif

    /* pick up the best cluster from the tree and do the finalization */
    /* the initial rank must be big enough */
    layerinfo->rank = (searchrect.maxx - searchrect.minx) * (searchrect.maxx - searchrect.minx) +
                      (searchrect.maxy - searchrect.miny) * (searchrect.maxy - searchrect.miny) + 1;

    layerinfo->current = NULL;
    findBestCluster(layer, layerinfo, layerinfo->root);

    if (layerinfo->current == NULL) {
      if (layer->debug >= MS_DEBUGLEVEL_VVV)
        msDebug("Clustering terminated.\n");
      break; /* completed */
    }

    /* Update the feature count of the shape */
    InitShapeAttributes(layer, layerinfo->current);

    /* collecting the shapes of the cluster */
    collectClusterShapes(layerinfo, layerinfo->root, layerinfo->current);

    if (layer->debug >= MS_DEBUGLEVEL_VVV) {
      msDebug("processing cluster %p: rank=%lf fcount=%d ncoll=%d nfin=%d nfins=%d nflt=%d bounds={%lf %lf %lf %lf}\n", layerinfo->current, layerinfo->rank, layerinfo->current->numsiblings + 1,
              layerinfo->current->numcollected, layerinfo->numFinalized, layerinfo->numFinalizedSiblings,
              layerinfo->numFiltered, layerinfo->current->bounds.minx, layerinfo->current->bounds.miny,
              layerinfo->current->bounds.maxx, layerinfo->current->bounds.maxy);
      if (layerinfo->current->node) {
        char pszBuffer[TREE_MAX_DEPTH + 1];
        clusterTreeNode* node = layerinfo->current->node;
        int position = node->position;
        int i = 1;
        while (position > 0 && i <= TREE_MAX_DEPTH) {
          pszBuffer[TREE_MAX_DEPTH - i] = '0' + (position % 4);
          position = position >> 2;
          ++i;
        }
        pszBuffer[TREE_MAX_DEPTH] = 0;

        msDebug(" ->node %p: count=%d index=%d pos=%s subn={%p %p %p %p} rect={%lf %lf %lf %lf}\n",
                node, node->numshapes, node->index, pszBuffer + TREE_MAX_DEPTH - i + 1,
                node->subnode[0], node->subnode[1], node->subnode[2], node->subnode[3],
                node->rect.minx, node->rect.miny, node->rect.maxx, node->rect.maxy);
      }
    }

#ifdef TESTCOUNT
    avgx = layerinfo->current->x;
    avgy = layerinfo->current->y;
    n = 0;
#endif

    if (layerinfo->current->numsiblings > 0) {
      /* update the parameters due to the shape removal */
      findRelatedShapesRemove(layerinfo, layerinfo->root, layerinfo->current);

      if (layerinfo->current->filter == 0) {
        /* filtered shapes has no siblings */
        layerinfo->current->numsiblings = 0;
        layerinfo->current->avgx = layerinfo->current->x;
        layerinfo->current->avgy = layerinfo->current->y;
      }

      /* update the parameters of the related shapes if any */
      if (layerinfo->finalizedSiblings) {
        current = layerinfo->finalizedSiblings;
        while(current) {
          /* update the parameters due to the shape removal */
          findRelatedShapesRemove(layerinfo, layerinfo->root, current);
          UpdateShapeAttributes(layer, layerinfo->current, current);
#ifdef TESTCOUNT
          avgx += current->x;
          avgy += current->y;
          ++n;
#endif
          /* setting the average position to the same value */
          current->avgx = layerinfo->current->avgx;
          current->avgy = layerinfo->current->avgy;

          if (current->next == NULL) {
            if (layerinfo->get_all_shapes == MS_TRUE) {
              /* insert the siblings into the finalization list */
              current->next = layerinfo->finalized;
              layerinfo->finalized = layerinfo->finalizedSiblings;
            } else {
              /* preserve the clustered siblings for later use */
              layerinfo->current->siblings = layerinfo->finalizedSiblings;
            }
            break;
          }

          current = current->next;
        }

        layerinfo->finalizedSiblings = NULL;
      }
    }

#ifdef TESTCOUNT
    avgx /= (n + 1);
    avgy /= (n + 1);

    if (layerinfo->current->numsiblings != n)
      layerinfo->current->numsiblings = n;

    if (fabs(layerinfo->current->avgx - avgx) / avgx > 0.000000001 ||
        fabs(layerinfo->current->avgy - avgy) / avgy > 0.000000001) {
      layerinfo->current->avgx = avgx;
      layerinfo->current->avgy = avgy;
    }
#endif
  }

  /* set the pointer to the first shape */
  layerinfo->current = layerinfo->finalized;

  return MS_SUCCESS;
}

/* Close the the combined layer */
int msClusterLayerClose(layerObj *layer)
{
  msClusterLayerInfo* layerinfo = (msClusterLayerInfo*)layer->layerinfo;

  if (!layerinfo)
    return MS_SUCCESS;

  clusterDestroyData(layerinfo);

  msLayerClose(&layerinfo->srcLayer);
  freeLayer(&layerinfo->srcLayer);

  msFree(layerinfo);
  layer->layerinfo = NULL;

#ifndef USE_CLUSTER_EXTERNAL
  /* switch back to the source layer vtable */
  msInitializeVirtualTable(layer);
#endif

  return MS_SUCCESS;
}

/* Return MS_TRUE if layer is open, MS_FALSE otherwise. */
int msClusterLayerIsOpen(layerObj *layer)
{
  if (layer->layerinfo)
    return(MS_TRUE);
  else
    return(MS_FALSE);
}

/* Free the itemindexes array in a layer. */
void msClusterLayerFreeItemInfo(layerObj *layer)
{
  msFree(layer->iteminfo);
  layer->iteminfo = NULL;
}


/* allocate the iteminfo index array - same order as the item list */
int msClusterLayerInitItemInfo(layerObj *layer)
{
  int i, numitems;
  int *itemindexes;

  msClusterLayerInfo* layerinfo = (msClusterLayerInfo*)layer->layerinfo;

  if(layer->numitems == 0) {
    return MS_SUCCESS;
  }

  if (!layerinfo)
    return MS_FAILURE;

  /* Cleanup any previous item selection */
  msClusterLayerFreeItemInfo(layer);

  layer->iteminfo = (int *) msSmallMalloc(sizeof(int) * layer->numitems);

  itemindexes = layer->iteminfo;

  /* check whether we require attributes from the source layers also */
  numitems = 0;
  for (i = 0; i < layer->numitems; i++) {
    if (EQUAL(layer->items[i], MSCLUSTER_FEATURECOUNT))
      itemindexes[i] = MSCLUSTER_FEATURECOUNTINDEX;
    else if (EQUAL(layer->items[i], MSCLUSTER_GROUP))
      itemindexes[i] = MSCLUSTER_GROUPINDEX;
    else if (EQUAL(layer->items[i], MSCLUSTER_BASEFID))
      itemindexes[i] = MSCLUSTER_BASEFIDINDEX;
    else
      itemindexes[i] = numitems++;
  }

  msLayerFreeItemInfo(&layerinfo->srcLayer);
  if(layerinfo->srcLayer.items) {
    msFreeCharArray(layerinfo->srcLayer.items, layerinfo->srcLayer.numitems);
    layerinfo->srcLayer.items = NULL;
    layerinfo->srcLayer.numitems = 0;
  }

  if (numitems > 0) {
    /* now allocate and set the layer item parameters  */
    layerinfo->srcLayer.items = (char **)msSmallMalloc(sizeof(char *)*numitems);
    layerinfo->srcLayer.numitems = numitems;

    for (i = 0; i < layer->numitems; i++) {
      if (itemindexes[i] >= 0) {
        if (EQUALN(layer->items[i], "Min:", 4))
          layerinfo->srcLayer.items[itemindexes[i]] = msStrdup(layer->items[i] + 4);
        else if (EQUALN(layer->items[i], "Max:", 4))
          layerinfo->srcLayer.items[itemindexes[i]] = msStrdup(layer->items[i] + 4);
        else if (EQUALN(layer->items[i], "Sum:", 4))
          layerinfo->srcLayer.items[itemindexes[i]] = msStrdup(layer->items[i] + 4);
        else if (EQUALN(layer->items[i], "Count:", 6))
          layerinfo->srcLayer.items[itemindexes[i]] = msStrdup(layer->items[i] + 6);
        else
          layerinfo->srcLayer.items[itemindexes[i]] = msStrdup(layer->items[i]);
      }
    }

    if (msLayerInitItemInfo(&layerinfo->srcLayer) != MS_SUCCESS)
      return MS_FAILURE;
  }

  return MS_SUCCESS;
}

/* Execute a query for this layer */
int msClusterLayerWhichShapes(layerObj *layer, rectObj rect, int isQuery)
{
  /* rebuild the cluster database */
  return RebuildClusters(layer, isQuery);
}

static int prepareShape(layerObj* layer, msClusterLayerInfo* layerinfo, clusterInfo* current, shapeObj* shape)
{
  if (msCopyShape(&(current->shape), shape) != MS_SUCCESS) {
    msSetError(MS_SHPERR, "Cannot retrieve inline shape. There some problem with the shape", "msClusterLayerNextShape()");
    return MS_FAILURE;
  }

  /* update the positions of the cluster shape */
  if (layerinfo->keep_locations == MS_FALSE) {
    shape->line[0].point[0].x = shape->bounds.minx = shape->bounds.maxx = current->avgx;
    shape->line[0].point[0].y = shape->bounds.miny = shape->bounds.maxy = current->avgy;
  }

  return MS_SUCCESS;
}

/* Execute a query on the DB based on fid. */
int msClusterLayerGetShape(layerObj *layer, shapeObj *shape, resultObj *record)
{
  clusterInfo* current;
  msClusterLayerInfo* layerinfo = (msClusterLayerInfo*)layer->layerinfo;

  if (!layerinfo) {
    msSetError(MS_MISCERR, "Layer not open: %s", "msClusterLayerGetShape()", layer->name);
    return MS_FAILURE;
  }

  current = layerinfo->finalized;
  while (current) {
    if (record->shapeindex == current->shape.index &&
        record->tileindex == current->shape.tileindex)
      break;
    current = current->next;
  }

  if (current == NULL) {
    msSetError(MS_SHPERR, "No feature with this index.", "msClusterLayerGetShape()");
    return MS_FAILURE;
  }

  return prepareShape(layer, layerinfo, current, shape);
}

/* find the next shape with the appropriate shape type */
/* also, load in the attribute data */
/* MS_DONE => no more data */
int msClusterLayerNextShape(layerObj *layer, shapeObj *shape)
{
  int rv;
  msClusterLayerInfo* layerinfo = (msClusterLayerInfo*)layer->layerinfo;

  if (!layerinfo) {
    msSetError(MS_MISCERR, "Layer not open: %s", "msClusterLayerNextShape()", layer->name);
    return MS_FAILURE;
  }

  if (!layerinfo->current)
    return MS_DONE;

  rv = prepareShape(layer, layerinfo, layerinfo->current, shape);

  layerinfo->current = layerinfo->current->next;

  return rv;
}

/* Query for the items collection */
int msClusterLayerGetItems(layerObj *layer)
{
  /* we support certain built in attributes */
  layer->numitems = MSCLUSTER_NUMITEMS;
  layer->items = msSmallMalloc(sizeof(char*) * (layer->numitems));
  layer->items[0] = msStrdup(MSCLUSTER_FEATURECOUNT);
  layer->items[1] = msStrdup(MSCLUSTER_GROUP);
  layer->items[2] = msStrdup(MSCLUSTER_BASEFID);

  return msClusterLayerInitItemInfo(layer);
}


int msClusterLayerGetNumFeatures(layerObj *layer)
{
  msClusterLayerInfo* layerinfo = (msClusterLayerInfo*)layer->layerinfo;

  if (!layerinfo)
    return -1;

  return layerinfo->numFinalized;
}

static int msClusterLayerGetAutoStyle(mapObj *map, layerObj *layer, classObj *c,
                                      shapeObj* shape)
{
  /* TODO */
  return MS_SUCCESS;
}

msClusterLayerInfo* msClusterInitialize(layerObj *layer)
{
  msClusterLayerInfo *layerinfo =(msClusterLayerInfo*)msSmallMalloc(sizeof(msClusterLayerInfo));

  layer->layerinfo = layerinfo;

  layerinfo->searchRect.minx = -1;
  layerinfo->searchRect.miny = -1;
  layerinfo->searchRect.maxx = -1;
  layerinfo->searchRect.maxy = -1;

  layerinfo->root = NULL;

  layerinfo->get_all_shapes = MS_FALSE;

  layerinfo->numFeatures = 0;
  layerinfo->numNodes = 0;

  layerinfo->finalized = NULL;
  layerinfo->numFinalized = 0;
  layerinfo->finalizedSiblings = NULL;
  layerinfo->numFinalizedSiblings = 0;
  layerinfo->filtered = NULL;
  layerinfo->numFiltered = 0;

  layerinfo->finalizedNodes = NULL;
  layerinfo->numFinalizedNodes = 0;

  return layerinfo;
}

int msClusterLayerOpen(layerObj *layer)
{
  msClusterLayerInfo* layerinfo;

  if (layer->type != MS_LAYER_POINT) {
    msSetError(MS_MISCERR, "Only point layers are supported for clustering: %s", "msClusterLayerOpen()", layer->name);
    return MS_FAILURE;
  }

  if (!layer->map)
    return MS_FAILURE;

  if (layer->layerinfo)
    return MS_SUCCESS;  /* already open */

  layerinfo = msClusterInitialize(layer);

  if (!layer->layerinfo)
    return MS_FAILURE;

  /* prepare the source layer */
  if(initLayer(&layerinfo->srcLayer, layer->map) == -1)
    return MS_FAILURE;

#ifdef USE_CLUSTER_EXTERNAL
  if (!layer->map)
    return MS_FAILURE;

  layerIndex = msGetLayerIndex(layer->map, layer->connection);

  if (layerIndex < 0 && layerIndex >= layer->map->numlayers) {
    msSetError(MS_MISCERR, "No source layers specified in layer: %s", "msClusterLayerOpen()", layer->name);
    return MS_FAILURE;
  }

  if (layer->map->layers[layerIndex]->type != MS_LAYER_POINT) {
    msSetError(MS_MISCERR, "Only point layers are supported for cluster data source: %s", "msClusterLayerOpen()", layer->name);
    return MS_FAILURE;
  }

  if (msCopyLayer(&layerinfo->srcLayer, layer->map->layers[layerIndex]) != MS_SUCCESS)
    return(MS_FAILURE);
#else
  /* hook the vtable to this driver, will be restored in LayerClose*/
  if (!layer->vtable) {
    if (msInitializeVirtualTable(layer) != MS_SUCCESS)
      return MS_FAILURE;
  }
  msClusterLayerCopyVirtualTable(layer->vtable);

  if (msCopyLayer(&layerinfo->srcLayer, layer) != MS_SUCCESS)
    return(MS_FAILURE);
#endif

  /* disable the connection pool for this layer */
  msLayerSetProcessingKey(&layerinfo->srcLayer, "CLOSE_CONNECTION", "ALWAYS");

  /* open the source layer */
  if ( !layerinfo->srcLayer.vtable) {
    if (msInitializeVirtualTable(&layerinfo->srcLayer) != MS_SUCCESS)
      return MS_FAILURE;
  }

  if (layerinfo->srcLayer.vtable->LayerOpen(&layerinfo->srcLayer) != MS_SUCCESS) {
    return MS_FAILURE;
  }

  return MS_SUCCESS;
}

void msClusterLayerCopyVirtualTable(layerVTableObj* vtable)
{
  vtable->LayerInitItemInfo = msClusterLayerInitItemInfo;
  vtable->LayerFreeItemInfo = msClusterLayerFreeItemInfo;
  vtable->LayerOpen = msClusterLayerOpen;
  vtable->LayerIsOpen = msClusterLayerIsOpen;
  vtable->LayerWhichShapes = msClusterLayerWhichShapes;
  vtable->LayerNextShape = msClusterLayerNextShape;
  vtable->LayerGetShape = msClusterLayerGetShape;

  vtable->LayerClose = msClusterLayerClose;

  vtable->LayerGetItems = msClusterLayerGetItems;
  vtable->LayerCloseConnection = msClusterLayerClose;

  vtable->LayerGetNumFeatures = msClusterLayerGetNumFeatures;
  vtable->LayerGetAutoStyle = msClusterLayerGetAutoStyle;
}

#ifdef USE_CLUSTER_PLUGIN

MS_DLL_EXPORT  int
PluginInitializeVirtualTable(layerVTableObj* vtable, layerObj *layer)
{
  assert(layer != NULL);
  assert(vtable != NULL);

  msClusterLayerCopyVirtualTable(vtable);

  return MS_SUCCESS;
}

#endif

int
msClusterLayerInitializeVirtualTable(layerObj *layer)
{
  assert(layer != NULL);
  assert(layer->vtable != NULL);

  msClusterLayerCopyVirtualTable(layer->vtable);

  return MS_SUCCESS;
}
