forked from teamnwah/openmw-tes3coop
Move PathgridGraph into separate files.
cc9cii
11 years ago
parent
a8b2eb1fe9
commit
040d4f8fc4
@ -0,0 +1,348 @@
|
||||
#include "pathgrid.hpp"
|
||||
|
||||
#include "../mwbase/world.hpp"
|
||||
#include "../mwbase/environment.hpp"
|
||||
|
||||
#include "../mwworld/cellstore.hpp"
|
||||
|
||||
namespace
|
||||
{
|
||||
// See http://theory.stanford.edu/~amitp/GameProgramming/Heuristics.html
|
||||
//
|
||||
// One of the smallest cost in Seyda Neen is between points 77 & 78:
|
||||
// pt x y
|
||||
// 77 = 8026, 4480
|
||||
// 78 = 7986, 4218
|
||||
//
|
||||
// Euclidean distance is about 262 (ignoring z) and Manhattan distance is 300
|
||||
// (again ignoring z). Using a value of about 300 for D seems like a reasonable
|
||||
// starting point for experiments. If in doubt, just use value 1.
|
||||
//
|
||||
// The distance between 3 & 4 are pretty small, too.
|
||||
// 3 = 5435, 223
|
||||
// 4 = 5948, 193
|
||||
//
|
||||
// Approx. 514 Euclidean distance and 533 Manhattan distance.
|
||||
//
|
||||
float manhattan(const ESM::Pathgrid::Point& a, const ESM::Pathgrid::Point& b)
|
||||
{
|
||||
return 300 * (abs(a.mX - b.mX) + abs(a.mY - b.mY) + abs(a.mZ - b.mZ));
|
||||
}
|
||||
|
||||
// Choose a heuristics - Note that these may not be the best for directed
|
||||
// graphs with non-uniform edge costs.
|
||||
//
|
||||
// distance:
|
||||
// - sqrt((curr.x - goal.x)^2 + (curr.y - goal.y)^2 + (curr.z - goal.z)^2)
|
||||
// - slower but more accurate
|
||||
//
|
||||
// Manhattan:
|
||||
// - |curr.x - goal.x| + |curr.y - goal.y| + |curr.z - goal.z|
|
||||
// - faster but not the shortest path
|
||||
float costAStar(const ESM::Pathgrid::Point& a, const ESM::Pathgrid::Point& b)
|
||||
{
|
||||
//return distance(a, b);
|
||||
return manhattan(a, b);
|
||||
}
|
||||
}
|
||||
|
||||
namespace MWMechanics
|
||||
{
|
||||
PathgridGraph::PathgridGraph()
|
||||
: mCell(NULL)
|
||||
, mIsGraphConstructed(false)
|
||||
, mPathgrid(NULL)
|
||||
, mGraph(0)
|
||||
, mSCCId(0)
|
||||
, mSCCIndex(0)
|
||||
{
|
||||
}
|
||||
|
||||
/*
|
||||
* mGraph is populated with the cost of each allowed edge.
|
||||
*
|
||||
* The data structure is based on the code in buildPath2() but modified.
|
||||
* Please check git history if interested.
|
||||
*
|
||||
* mGraph[v].edges[i].index = w
|
||||
*
|
||||
* v = point index of location "from"
|
||||
* i = index of edges from point v
|
||||
* w = point index of location "to"
|
||||
*
|
||||
*
|
||||
* Example: (notice from p(0) to p(2) is not allowed in this example)
|
||||
*
|
||||
* mGraph[0].edges[0].index = 1
|
||||
* .edges[1].index = 3
|
||||
*
|
||||
* mGraph[1].edges[0].index = 0
|
||||
* .edges[1].index = 2
|
||||
* .edges[2].index = 3
|
||||
*
|
||||
* mGraph[2].edges[0].index = 1
|
||||
*
|
||||
* (etc, etc)
|
||||
*
|
||||
*
|
||||
* low
|
||||
* cost
|
||||
* p(0) <---> p(1) <------------> p(2)
|
||||
* ^ ^
|
||||
* | |
|
||||
* | +-----> p(3)
|
||||
* +---------------->
|
||||
* high cost
|
||||
*/
|
||||
bool PathgridGraph::load(const ESM::Cell* cell)
|
||||
{
|
||||
if(!cell)
|
||||
return false;
|
||||
|
||||
mCell = cell;
|
||||
mPathgrid = MWBase::Environment::get().getWorld()->getStore().get<ESM::Pathgrid>().search(*cell);
|
||||
|
||||
if(!mPathgrid)
|
||||
return false;
|
||||
|
||||
if(mIsGraphConstructed)
|
||||
return true;
|
||||
|
||||
mGraph.resize(mPathgrid->mPoints.size());
|
||||
for(int i = 0; i < static_cast<int> (mPathgrid->mEdges.size()); i++)
|
||||
{
|
||||
ConnectedPoint neighbour;
|
||||
neighbour.cost = costAStar(mPathgrid->mPoints[mPathgrid->mEdges[i].mV0],
|
||||
mPathgrid->mPoints[mPathgrid->mEdges[i].mV1]);
|
||||
// forward path of the edge
|
||||
neighbour.index = mPathgrid->mEdges[i].mV1;
|
||||
mGraph[mPathgrid->mEdges[i].mV0].edges.push_back(neighbour);
|
||||
// reverse path of the edge
|
||||
// NOTE: These are redundant, ESM already contains the required reverse paths
|
||||
//neighbour.index = mPathgrid->mEdges[i].mV0;
|
||||
//mGraph[mPathgrid->mEdges[i].mV1].edges.push_back(neighbour);
|
||||
}
|
||||
buildConnectedPoints();
|
||||
mIsGraphConstructed = true;
|
||||
#if 0
|
||||
std::cout << "loading pathgrid " <<
|
||||
+"\""+ mPathgrid->mCell +"\""
|
||||
+", "+ std::to_string(mPathgrid->mData.mX)
|
||||
+", "+ std::to_string(mPathgrid->mData.mY)
|
||||
<< std::endl;
|
||||
#endif
|
||||
return true;
|
||||
}
|
||||
|
||||
// v is the pathgrid point index (some call them vertices)
|
||||
void PathgridGraph::recursiveStrongConnect(int v)
|
||||
{
|
||||
mSCCPoint[v].first = mSCCIndex; // index
|
||||
mSCCPoint[v].second = mSCCIndex; // lowlink
|
||||
mSCCIndex++;
|
||||
mSCCStack.push_back(v);
|
||||
int w;
|
||||
|
||||
for(int i = 0; i < static_cast<int> (mGraph[v].edges.size()); i++)
|
||||
{
|
||||
w = mGraph[v].edges[i].index;
|
||||
if(mSCCPoint[w].first == -1) // not visited
|
||||
{
|
||||
recursiveStrongConnect(w); // recurse
|
||||
mSCCPoint[v].second = std::min(mSCCPoint[v].second,
|
||||
mSCCPoint[w].second);
|
||||
}
|
||||
else
|
||||
{
|
||||
if(find(mSCCStack.begin(), mSCCStack.end(), w) != mSCCStack.end())
|
||||
mSCCPoint[v].second = std::min(mSCCPoint[v].second,
|
||||
mSCCPoint[w].first);
|
||||
}
|
||||
}
|
||||
|
||||
if(mSCCPoint[v].second == mSCCPoint[v].first)
|
||||
{ // new component
|
||||
do
|
||||
{
|
||||
w = mSCCStack.back();
|
||||
mSCCStack.pop_back();
|
||||
mGraph[w].componentId = mSCCId;
|
||||
}
|
||||
while(w != v);
|
||||
mSCCId++;
|
||||
}
|
||||
return;
|
||||
}
|
||||
|
||||
/*
|
||||
* mGraph contains the strongly connected component group id's along
|
||||
* with pre-calculated edge costs.
|
||||
*
|
||||
* A cell can have disjointed pathgrids, e.g. Seyda Neen has 3
|
||||
*
|
||||
* mGraph for Seyda Neen will therefore have 3 different values. When
|
||||
* selecting a random pathgrid point for AiWander, mGraph can be checked
|
||||
* for quickly finding whether the destination is reachable.
|
||||
*
|
||||
* Otherwise, buildPath can automatically select a closest reachable end
|
||||
* pathgrid point (reachable from the closest start point).
|
||||
*
|
||||
* Using Tarjan's algorithm:
|
||||
*
|
||||
* mGraph | graph G |
|
||||
* mSCCPoint | V | derived from mPoints
|
||||
* mGraph[v].edges | E (for v) |
|
||||
* mSCCIndex | index | tracking smallest unused index
|
||||
* mSCCStack | S |
|
||||
* mGraph[v].edges[i].index | w |
|
||||
*
|
||||
*/
|
||||
void PathgridGraph::buildConnectedPoints()
|
||||
{
|
||||
// both of these are set to zero in the constructor
|
||||
//mSCCId = 0; // how many strongly connected components in this cell
|
||||
//mSCCIndex = 0;
|
||||
int pointsSize = mPathgrid->mPoints.size();
|
||||
mSCCPoint.resize(pointsSize, std::pair<int, int> (-1, -1));
|
||||
mSCCStack.reserve(pointsSize);
|
||||
|
||||
for(int v = 0; v < static_cast<int> (pointsSize); v++)
|
||||
{
|
||||
if(mSCCPoint[v].first == -1) // undefined (haven't visited)
|
||||
recursiveStrongConnect(v);
|
||||
}
|
||||
#if 0
|
||||
std::cout << "components: " << std::to_string(mSCCId)
|
||||
+", "+ mPathgrid->mCell
|
||||
<< std::endl;
|
||||
#endif
|
||||
}
|
||||
|
||||
bool PathgridGraph::isPointConnected(const int start, const int end) const
|
||||
{
|
||||
return (mGraph[start].componentId == mGraph[end].componentId);
|
||||
}
|
||||
|
||||
/*
|
||||
* NOTE: Based on buildPath2(), please check git history if interested
|
||||
* Should consider using a 3rd party library version (e.g. boost)
|
||||
*
|
||||
* Find the shortest path to the target goal using a well known algorithm.
|
||||
* Uses mGraph which has pre-computed costs for allowed edges. It is assumed
|
||||
* that mGraph is already constructed.
|
||||
*
|
||||
* Should be possible to make this MT safe.
|
||||
*
|
||||
* Returns path (a list of pathgrid point indexes) which may be empty.
|
||||
*
|
||||
* Input params:
|
||||
* start, goal - pathgrid point indexes (for this cell)
|
||||
* isExterior - used to determine whether to convert to world co-ordinates
|
||||
*
|
||||
* Variables:
|
||||
* openset - point indexes to be traversed, lowest cost at the front
|
||||
* closedset - point indexes already traversed
|
||||
* gScore - past accumulated costs vector indexed by point index
|
||||
* fScore - future estimated costs vector indexed by point index
|
||||
*
|
||||
* TODO: An intersting exercise might be to cache the paths created for a
|
||||
* start/goal pair. To cache the results the paths need to be in
|
||||
* pathgrid points form (currently they are converted to world
|
||||
* co-ordinates). Essentially trading speed w/ memory.
|
||||
*/
|
||||
std::list<ESM::Pathgrid::Point> PathgridGraph::aStarSearch(const int start,
|
||||
const int goal,
|
||||
bool isExterior) const
|
||||
{
|
||||
std::list<ESM::Pathgrid::Point> path;
|
||||
if(!isPointConnected(start, goal))
|
||||
{
|
||||
return path; // there is no path, return an empty path
|
||||
}
|
||||
|
||||
int graphSize = mGraph.size();
|
||||
std::vector<float> gScore;
|
||||
gScore.resize(graphSize, -1);
|
||||
std::vector<float> fScore;
|
||||
fScore.resize(graphSize, -1);
|
||||
std::vector<int> graphParent;
|
||||
graphParent.resize(graphSize, -1);
|
||||
|
||||
// gScore & fScore keep costs for each pathgrid point in mPoints
|
||||
gScore[start] = 0;
|
||||
fScore[start] = costAStar(mPathgrid->mPoints[start], mPathgrid->mPoints[goal]);
|
||||
|
||||
std::list<int> openset;
|
||||
std::list<int> closedset;
|
||||
openset.push_back(start);
|
||||
|
||||
int current = -1;
|
||||
|
||||
while(!openset.empty())
|
||||
{
|
||||
current = openset.front(); // front has the lowest cost
|
||||
openset.pop_front();
|
||||
|
||||
if(current == goal)
|
||||
break;
|
||||
|
||||
closedset.push_back(current); // remember we've been here
|
||||
|
||||
// check all edges for the current point index
|
||||
for(int j = 0; j < static_cast<int> (mGraph[current].edges.size()); j++)
|
||||
{
|
||||
if(std::find(closedset.begin(), closedset.end(), mGraph[current].edges[j].index) ==
|
||||
closedset.end())
|
||||
{
|
||||
// not in closedset - i.e. have not traversed this edge destination
|
||||
int dest = mGraph[current].edges[j].index;
|
||||
float tentative_g = gScore[current] + mGraph[current].edges[j].cost;
|
||||
bool isInOpenSet = std::find(openset.begin(), openset.end(), dest) != openset.end();
|
||||
if(!isInOpenSet
|
||||
|| tentative_g < gScore[dest])
|
||||
{
|
||||
graphParent[dest] = current;
|
||||
gScore[dest] = tentative_g;
|
||||
fScore[dest] = tentative_g + costAStar(mPathgrid->mPoints[dest],
|
||||
mPathgrid->mPoints[goal]);
|
||||
if(!isInOpenSet)
|
||||
{
|
||||
// add this edge to openset, lowest cost goes to the front
|
||||
// TODO: if this causes performance problems a hash table may help
|
||||
std::list<int>::iterator it = openset.begin();
|
||||
for(it = openset.begin(); it!= openset.end(); it++)
|
||||
{
|
||||
if(fScore[*it] > fScore[dest])
|
||||
break;
|
||||
}
|
||||
openset.insert(it, dest);
|
||||
}
|
||||
}
|
||||
} // if in closedset, i.e. traversed this edge already, try the next edge
|
||||
}
|
||||
}
|
||||
|
||||
if(current != goal)
|
||||
return path; // for some reason couldn't build a path
|
||||
|
||||
// reconstruct path to return, using world co-ordinates
|
||||
float xCell = 0;
|
||||
float yCell = 0;
|
||||
if (isExterior)
|
||||
{
|
||||
xCell = mPathgrid->mData.mX * ESM::Land::REAL_SIZE;
|
||||
yCell = mPathgrid->mData.mY * ESM::Land::REAL_SIZE;
|
||||
}
|
||||
|
||||
while(graphParent[current] != -1)
|
||||
{
|
||||
ESM::Pathgrid::Point pt = mPathgrid->mPoints[current];
|
||||
pt.mX += xCell;
|
||||
pt.mY += yCell;
|
||||
path.push_front(pt);
|
||||
current = graphParent[current];
|
||||
}
|
||||
return path;
|
||||
}
|
||||
}
|
||||
|
||||
@ -0,0 +1,75 @@
|
||||
#ifndef GAME_MWMECHANICS_PATHGRID_H
|
||||
#define GAME_MWMECHANICS_PATHGRID_H
|
||||
|
||||
#include <components/esm/loadpgrd.hpp>
|
||||
#include <list>
|
||||
|
||||
namespace ESM
|
||||
{
|
||||
class Cell;
|
||||
}
|
||||
|
||||
namespace MWWorld
|
||||
{
|
||||
class CellStore;
|
||||
}
|
||||
|
||||
namespace MWMechanics
|
||||
{
|
||||
class PathgridGraph
|
||||
{
|
||||
public:
|
||||
PathgridGraph();
|
||||
|
||||
bool load(const ESM::Cell *cell);
|
||||
|
||||
// returns true if end point is strongly connected (i.e. reachable
|
||||
// from start point) both start and end are pathgrid point indexes
|
||||
bool isPointConnected(const int start, const int end) const;
|
||||
|
||||
// isOutside is used whether to convert path to world co-ordinates
|
||||
std::list<ESM::Pathgrid::Point> aStarSearch(const int start,
|
||||
const int end,
|
||||
const bool isOutside) const;
|
||||
private:
|
||||
|
||||
const ESM::Cell *mCell;
|
||||
const ESM::Pathgrid *mPathgrid;
|
||||
|
||||
struct ConnectedPoint // edge
|
||||
{
|
||||
int index; // pathgrid point index of neighbour
|
||||
float cost;
|
||||
};
|
||||
|
||||
struct Node // point
|
||||
{
|
||||
int componentId;
|
||||
std::vector<ConnectedPoint> edges; // neighbours
|
||||
};
|
||||
|
||||
// componentId is an integer indicating the groups of connected
|
||||
// pathgrid points (all connected points will have the same value)
|
||||
//
|
||||
// In Seyda Neen there are 3:
|
||||
//
|
||||
// 52, 53 and 54 are one set (enclosed yard)
|
||||
// 48, 49, 50, 51, 84, 85, 86, 87, 88, 89, 90 (ship & office)
|
||||
// all other pathgrid points are the third set
|
||||
//
|
||||
std::vector<Node> mGraph;
|
||||
bool mIsGraphConstructed;
|
||||
|
||||
// variables used to calculate connected components
|
||||
int mSCCId;
|
||||
int mSCCIndex;
|
||||
std::vector<int> mSCCStack;
|
||||
typedef std::pair<int, int> VPair; // first is index, second is lowlink
|
||||
std::vector<VPair> mSCCPoint;
|
||||
// methods used to calculate connected components
|
||||
void recursiveStrongConnect(int v);
|
||||
void buildConnectedPoints();
|
||||
};
|
||||
}
|
||||
|
||||
#endif
|
||||
Loading…
Reference in New Issue