import concurrent import copyreg from concurrent.futures import ProcessPoolExecutor, Executor from dataclasses import dataclass from typing import Tuple, Callable, Generator import OCP import numpy as np from OCP.BRep import BRep_Tool from OCP.BRepAdaptor import BRepAdaptor_Curve from OCP.GCPnts import GCPnts_TangentialDeflection from OCP.TopLoc import TopLoc_Location from OCP.TopoDS import TopoDS_Face, TopoDS_Edge, TopoDS_Shape, TopoDS_Vertex from build123d import Face, Vector, Shape, Vertex from partcad.wrappers import cq_serialize from pygltflib import LINE_STRIP, GLTF2, Material, PbrMetallicRoughness, TRIANGLES, POINTS, TextureInfo from gltf import create_gltf, _checkerboard_image @dataclass class TessellationUpdate: """Tessellation update""" progress: float """Progress in percent""" # Current shape shape: TopoDS_Shape """(Sub)shape that was tessellated""" gltf: GLTF2 """The valid GLTF containing only the current shape""" @property def kind(self) -> str: """The kind of the shape""" if isinstance(self.shape, TopoDS_Face): return "face" elif isinstance(self.shape, TopoDS_Edge): return "edge" elif isinstance(self.shape, TopoDS_Vertex): return "vertex" else: raise ValueError(f"Unknown shape type: {self.shape}") progress_callback_t = Callable[[TessellationUpdate], None] def _inflate_vec(*values: float): pnt = OCP.gp.gp_Vec(values[0], values[1], values[2]) return pnt def _reduce_vec(pnt: OCP.gp.gp_Vec): return _inflate_vec, (pnt.X(), pnt.Y(), pnt.Z()) def tessellate_count(ocp_shape: TopoDS_Shape) -> int: """Count the number of elements that will be tessellated""" shape = Shape(ocp_shape) return len(shape.faces()) + len(shape.edges()) + len(shape.vertices()) def tessellate( ocp_shape: TopoDS_Shape, tolerance: float = 0.1, angular_tolerance: float = 0.1, executor: Executor = ProcessPoolExecutor(), # Set to ThreadPoolExecutor if pickling fails... ) -> Generator[TessellationUpdate, None, None]: """Tessellate a whole shape into a list of triangle vertices and a list of triangle indices. It uses multiprocessing to speed up the process, and publishes progress updates to the callback. """ shape = Shape(ocp_shape) _register_pickle_if_needed() with executor: futures = [] # Submit tessellation tasks for face in shape.faces(): futures.append(executor.submit(_tessellate_element, face.wrapped, tolerance, angular_tolerance)) for edge in shape.edges(): futures.append(executor.submit(_tessellate_element, edge.wrapped, tolerance, angular_tolerance)) for vertex in shape.vertices(): futures.append(executor.submit(_tessellate_element, vertex.wrapped, tolerance, angular_tolerance)) # Collect results as they come in for i, future in enumerate(concurrent.futures.as_completed(futures)): sub_shape, gltf = future.result() yield TessellationUpdate( progress=(i + 1) / len(futures), shape=sub_shape, gltf=gltf, ) _pickle_registered = False def _register_pickle_if_needed(): global _pickle_registered if _pickle_registered: return cq_serialize.register() copyreg.pickle(OCP.gp.gp_Vec, _reduce_vec) # Define the function that will tessellate each element in parallel def _tessellate_element( element: TopoDS_Shape, tolerance: float, angular_tolerance: float) -> Tuple[TopoDS_Shape, GLTF2]: if isinstance(element, TopoDS_Face): return element, _tessellate_face(element, tolerance, angular_tolerance) elif isinstance(element, TopoDS_Edge): return element, _tessellate_edge(element, angular_tolerance, angular_tolerance) elif isinstance(element, TopoDS_Vertex): return element, _tessellate_vertex(element) else: raise ValueError(f"Unknown element type: {element}") TriMesh = Tuple[list[Vector], list[Tuple[int, int, int]]] def _tessellate_face( ocp_face: TopoDS_Face, tolerance: float = 0.1, angular_tolerance: float = 0.1 ) -> GLTF2: """Tessellate a face into a list of triangle vertices and a list of triangle indices""" face = Face(ocp_face) tri_mesh = face.tessellate(tolerance, angular_tolerance) # Get UV of each face from the parameters loc = TopLoc_Location() poly = BRep_Tool.Triangulation_s(face.wrapped, loc) uv = [ [v.X(), v.Y()] for v in (poly.UVNode(i) for i in range(1, poly.NbNodes() + 1)) ] vertices = np.array(list(map(lambda v: [v.X, v.Y, v.Z], tri_mesh[0]))) indices = np.array(tri_mesh[1]) tex_coord = np.array(uv) mode = TRIANGLES material = Material(pbrMetallicRoughness=PbrMetallicRoughness( baseColorFactor=[0.3, 1.0, 0.2, 1.0], roughnessFactor=0.1, baseColorTexture=TextureInfo(index=0)), alphaCutoff=None) return create_gltf(vertices, indices, tex_coord, mode, material, images=[_checkerboard_image]) def _tessellate_edge( ocp_edge: TopoDS_Edge, angular_deflection: float = 0.1, curvature_deflection: float = 0.1, ) -> GLTF2: """Tessellate a wire or edge into a list of ordered vertices""" curve = BRepAdaptor_Curve(ocp_edge) discretizer = GCPnts_TangentialDeflection(curve, angular_deflection, curvature_deflection) assert discretizer.NbPoints() > 1, "Edge is too small??" # TODO: get and apply transformation?? # add vertices vertices: list[list[float]] = [ [v.X(), v.Y(), v.Z()] for v in ( discretizer.Value(i) # .Transformed(transformation) for i in range(1, discretizer.NbPoints() + 1) ) ] indices = np.array(list(map(lambda i: [i, i + 1], range(len(vertices) - 1))), dtype=np.uint8) tex_coord = np.array([], dtype=np.float32) mode = LINE_STRIP material = Material( pbrMetallicRoughness=PbrMetallicRoughness(baseColorFactor=[1.0, 1.0, 0.5, 1.0]), alphaCutoff=None) return create_gltf(np.array(vertices), indices, tex_coord, mode, material) def _tessellate_vertex(ocp_vertex: TopoDS_Vertex) -> GLTF2: """Tessellate a vertex into a list of triangle vertices and a list of triangle indices""" c = Vertex(ocp_vertex).center() vertices = np.array([[c.X, c.Y, c.Z]]) indices = np.array([0]) tex_coord = np.array([], dtype=np.float32) mode = POINTS material = Material( pbrMetallicRoughness=PbrMetallicRoughness(baseColorFactor=[1.0, 0.5, 0.5, 1.0]), alphaCutoff=None) return create_gltf(vertices, indices, tex_coord, mode, material)