AI Libraries for Panda3D

Here’s my vertex processing code, It’s mostly ripped straight from the manual.

I extract all the edges, and then use them to form “nodes” which are basically triangular areas in the mesh. The edges then link the nodes together, forming a graph which I can traverse with A*.

def _processNode(self, node):
		geomNodeCollection = node.findAllMatches('**/+GeomNode')
		for nodePath in geomNodeCollection:
			geomNode = nodePath.node()
			self._processGeomNode(geomNode)
		for edge in self.edges:
			if len(edge.nodes) <= 1:
				# This edge isn't between two nodes, so we don't need to worry about it when pathfinding.
				# But we still need it for determining which node an agent is in.
				edge.navigable = False

	def _processGeomNode(self, geomNode):
		for i in range(geomNode.getNumGeoms()):
			geom = geomNode.getGeom(i)
			state = geomNode.getGeomState(i)
			self._processGeom(geom)

	def _processGeom(self, geom):
		vdata = geom.getVertexData()
		for i in range(geom.getNumPrimitives()):
			prim = geom.getPrimitive(i)
			self._processPrimitive(prim, vdata)

	def _processPrimitive(self, prim, vdata):
		vertex = GeomVertexReader(vdata, "vertex")
		prim = prim.decompose()
		def getVertex(index):
			vi = prim.getVertex(index)
			vertex.setRow(vi)
			return vertex.getData3f()
		for p in range(prim.getNumPrimitives()):
			s = prim.getPrimitiveStart(p)
			e = prim.getPrimitiveEnd(p)
			for i in range(s, e):
				v = getVertex(i)
				if i + 1 >= e:
					break
				v2 = getVertex(i + 1)
				edge1 = self.addEdge(v, v2)
				if i + 2 >= e:
					break
				v3 = getVertex(i + 2)
				edge2 = self.addEdge(v2, v3)
				edge3 = self.addEdge(v3, v)
				self.nodes.append(NavNode(edge1, edge2, edge3))

To determine which node an agent is in, I just do a dot product from the agent’s position to the center of each of the three edges. If all three dot products are positive (or negative, I can’t remember), the agent must be inside the node. I do some other stuff for vertical testing as well. It’s all in the A3P repository.