mirror of
https://github.com/yeicor-3d/yet-another-cad-viewer.git
synced 2025-12-19 22:24:17 +01:00
192 lines
6.9 KiB
Python
192 lines
6.9 KiB
Python
import concurrent
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import copy
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import hashlib
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import io
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import re
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from concurrent.futures import ProcessPoolExecutor
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from dataclasses import dataclass
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from typing import Tuple, Generator
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import numpy as np
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from OCP.BRep import BRep_Tool
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from OCP.BRepAdaptor import BRepAdaptor_Curve
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from OCP.GCPnts import GCPnts_TangentialDeflection
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from OCP.TopExp import TopExp
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from OCP.TopLoc import TopLoc_Location
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from OCP.TopTools import TopTools_IndexedMapOfShape
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from OCP.TopoDS import TopoDS_Face, TopoDS_Edge, TopoDS_Shape, TopoDS_Vertex
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from build123d import Face, Vector, Shape, Vertex
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from pygltflib import LINE_STRIP, GLTF2, Material, PbrMetallicRoughness, TRIANGLES, POINTS, TextureInfo
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import mylogger
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from gltf import create_gltf, _checkerboard_image
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@dataclass
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class TessellationUpdate:
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"""Tessellation update"""
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progress: float
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"""Progress in percent"""
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# Current shape
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shape: TopoDS_Shape
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"""(Sub)shape that was tessellated"""
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gltf: GLTF2
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"""The valid GLTF containing only the current shape"""
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@property
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def kind(self) -> str:
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"""The kind of the shape"""
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if isinstance(self.shape, TopoDS_Face):
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return "face"
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elif isinstance(self.shape, TopoDS_Edge):
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return "edge"
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elif isinstance(self.shape, TopoDS_Vertex):
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return "vertex"
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else:
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raise ValueError(f"Unknown shape type: {self.shape}")
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def tessellate_count(ocp_shape: TopoDS_Shape) -> int:
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"""Count the number of elements that will be tessellated"""
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shape = Shape(ocp_shape)
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return len(shape.faces()) + len(shape.edges()) + len(shape.vertices())
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def tessellate(
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ocp_shape: TopoDS_Shape,
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tolerance: float = 0.1,
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angular_tolerance: float = 0.1,
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) -> Generator[TessellationUpdate, None, None]:
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"""Tessellate a whole shape into a list of triangle vertices and a list of triangle indices.
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NOTE: The logic of the method is weird because multiprocessing was tested, but it seems too inefficient
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with slow native packages.
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"""
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shape = Shape(ocp_shape)
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features = []
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# Submit tessellation tasks
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for face in shape.faces():
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features.append(_tessellate_element(face.wrapped, tolerance, angular_tolerance))
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for edge in shape.edges():
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features.append(_tessellate_element(edge.wrapped, tolerance, angular_tolerance))
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for vertex in shape.vertices():
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features.append(_tessellate_element(vertex.wrapped, tolerance, angular_tolerance))
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# Collect results as they come in
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for i, future in enumerate(features):
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sub_shape, gltf = future
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yield TessellationUpdate(
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progress=(i + 1) / len(features),
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shape=sub_shape,
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gltf=gltf,
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)
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# Define the function that will tessellate each element in parallel
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def _tessellate_element(
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element: TopoDS_Shape, tolerance: float, angular_tolerance: float) -> Tuple[TopoDS_Shape, GLTF2]:
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if isinstance(element, TopoDS_Face):
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return element, _tessellate_face(element, tolerance, angular_tolerance)
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elif isinstance(element, TopoDS_Edge):
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return element, _tessellate_edge(element, angular_tolerance, angular_tolerance)
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elif isinstance(element, TopoDS_Vertex):
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return element, _tessellate_vertex(element)
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else:
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raise ValueError(f"Unknown element type: {element}")
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TriMesh = Tuple[list[Vector], list[Tuple[int, int, int]]]
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def _tessellate_face(
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ocp_face: TopoDS_Face,
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tolerance: float = 0.1,
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angular_tolerance: float = 0.1
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) -> GLTF2:
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"""Tessellate a face into a list of triangle vertices and a list of triangle indices"""
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face = Face(ocp_face)
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face.mesh(tolerance, angular_tolerance)
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loc = TopLoc_Location()
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poly = BRep_Tool.Triangulation_s(face.wrapped, loc)
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if poly is None:
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mylogger.logger.warn("No triangulation found for face")
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return GLTF2()
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tri_mesh = face.tessellate(tolerance, angular_tolerance)
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# Get UV of each face from the parameters
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uv = [
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[v.X(), v.Y()]
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for v in (poly.UVNode(i) for i in range(1, poly.NbNodes() + 1))
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]
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vertices = np.array(list(map(lambda v: [v.X, v.Y, v.Z], tri_mesh[0])))
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indices = np.array(tri_mesh[1])
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tex_coord = np.array(uv)
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mode = TRIANGLES
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material = Material(pbrMetallicRoughness=PbrMetallicRoughness(
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baseColorFactor=[0.3, 1.0, 0.2, 1.0], metallicFactor=0.1, baseColorTexture=TextureInfo(index=0)),
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alphaCutoff=None)
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return create_gltf(vertices, indices, tex_coord, mode, material, images=[_checkerboard_image])
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def _tessellate_edge(
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ocp_edge: TopoDS_Edge,
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angular_deflection: float = 0.1,
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curvature_deflection: float = 0.1,
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) -> GLTF2:
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"""Tessellate a wire or edge into a list of ordered vertices"""
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curve = BRepAdaptor_Curve(ocp_edge)
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discretizer = GCPnts_TangentialDeflection(curve, angular_deflection, curvature_deflection)
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assert discretizer.NbPoints() > 1, "Edge is too small??"
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# TODO: get and apply transformation??
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# add vertices
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vertices: list[list[float]] = [
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[v.X(), v.Y(), v.Z()]
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for v in (
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discretizer.Value(i) # .Transformed(transformation)
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for i in range(1, discretizer.NbPoints() + 1)
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)
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]
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indices = np.array(list(map(lambda i: [i, i + 1], range(len(vertices) - 1))), dtype=np.uint8)
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tex_coord = np.array([], dtype=np.float32)
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mode = LINE_STRIP
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material = Material(
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pbrMetallicRoughness=PbrMetallicRoughness(baseColorFactor=[0.0, 0.0, 0.3, 1.0]),
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alphaCutoff=None)
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return create_gltf(np.array(vertices), indices, tex_coord, mode, material)
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def _tessellate_vertex(ocp_vertex: TopoDS_Vertex) -> GLTF2:
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"""Tessellate a vertex into a list of triangle vertices and a list of triangle indices"""
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c = Vertex(ocp_vertex).center()
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vertices = np.array([[c.X, c.Y, c.Z]])
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indices = np.array([0])
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tex_coord = np.array([], dtype=np.float32)
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mode = POINTS
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material = Material(
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pbrMetallicRoughness=PbrMetallicRoughness(baseColorFactor=[1.0, 0.5, 0.5, 1.0]),
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alphaCutoff=None)
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return create_gltf(vertices, indices, tex_coord, mode, material)
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def _hashcode(obj: TopoDS_Shape) -> str:
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"""Utility to compute the hash code of a shape recursively without the need to tessellate it"""
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# NOTE: obj.HashCode(MAX_HASH_CODE) is not stable across different runs of the same program
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# This is best-effort and not guaranteed to be unique
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data = io.BytesIO()
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map_of_shapes = TopTools_IndexedMapOfShape()
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TopExp.MapShapes_s(obj, map_of_shapes)
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for i in range(1, map_of_shapes.Extent() + 1):
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sub_shape = map_of_shapes.FindKey(i)
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sub_data = io.BytesIO()
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TopoDS_Shape.DumpJson(sub_shape, sub_data)
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val = sub_data.getvalue()
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val = re.sub(b'"this": "[^"]*"', b'', val) # Remove memory address
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data.write(val)
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to_hash = data.getvalue()
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return hashlib.md5(to_hash, usedforsecurity=False).hexdigest()
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