mirror of
https://github.com/yeicor-3d/yet-another-cad-viewer.git
synced 2025-12-19 22:24:17 +01:00
143 lines
4.6 KiB
Python
143 lines
4.6 KiB
Python
"""
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Utilities to work with CAD objects
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"""
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import hashlib
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from typing import Optional, Union, List, Tuple
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from OCP.TopLoc import TopLoc_Location
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from OCP.TopoDS import TopoDS_Shape
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from yacv_server.gltf import GLTFMgr
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CADCoreLike = Union[TopoDS_Shape, TopLoc_Location] # Faces, Edges, Vertices and Locations for now
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CADLike = Union[CADCoreLike, any] # build123d and cadquery types
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def get_shape(obj: CADLike, error: bool = True) -> Optional[CADCoreLike]:
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""" Get the shape of a CAD-like object """
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# Try to grab a shape if a different type of object was passed
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if isinstance(obj, TopoDS_Shape) or isinstance(obj, TopLoc_Location):
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return obj
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# Return locations (drawn as axes)
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if 'wrapped' in dir(obj) and isinstance(obj.wrapped, TopLoc_Location):
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return obj.wrapped
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# Build123D
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if 'part' in dir(obj):
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obj = obj.part
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if 'sketch' in dir(obj):
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obj = obj.sketch
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if 'line' in dir(obj):
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obj = obj.line
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# Build123D & CadQuery
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while 'wrapped' in dir(obj) and not isinstance(obj, TopoDS_Shape) and not isinstance(obj, TopLoc_Location):
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obj = obj.wrapped
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# Return shapes
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if isinstance(obj, TopoDS_Shape):
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return obj
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if error:
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raise ValueError(f'Cannot show object of type {type(obj)} (submit issue?)')
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else:
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return None
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def grab_all_cad() -> List[Tuple[str, CADCoreLike]]:
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""" Grab all shapes by inspecting the stack """
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import inspect
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stack = inspect.stack()
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shapes = []
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for frame in stack:
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for key, value in frame.frame.f_locals.items():
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shape = get_shape(value, error=False)
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if shape:
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shapes.append((key, shape))
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return shapes
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def image_to_gltf(source: str | bytes, center: any, width: Optional[float] = None, height: Optional[float] = None,
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name: Optional[str] = None, save_mime: str = 'image/jpeg', power_of_two: bool = True) \
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-> Tuple[bytes, str]:
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"""Convert an image to a GLTF CAD object."""
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from PIL import Image
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import io
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import os
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from build123d import Plane
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from build123d import Location
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from build123d import Vector
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# Handle arguments
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if name is None:
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if isinstance(source, str):
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name = os.path.basename(source)
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else:
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hasher = hashlib.md5()
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hasher.update(source)
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name = 'image_' + hasher.hexdigest()
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format: str
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if save_mime == 'image/jpeg':
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format = 'JPEG'
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elif save_mime == 'image/png':
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format = 'PNG'
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else:
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raise ValueError(f'Unsupported save MIME type (for GLTF files): {save_mime}')
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# Get the plane of the image
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center_loc = get_shape(center)
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if not isinstance(center_loc, TopLoc_Location):
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raise ValueError('Center location not valid')
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plane = Plane(Location(center_loc))
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# Convert coordinates system
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plane.origin = Vector(plane.origin.X, plane.origin.Z, -plane.origin.Y)
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plane.z_dir = -plane.y_dir
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plane.y_dir = plane.z_dir
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def vert(v: Vector) -> Tuple[float, float, float]:
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return v.X, v.Y, v.Z
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# Load the image to a byte buffer
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img = Image.open(source)
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img_buf = io.BytesIO()
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# Use the original dimensions for scaling the model
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if width is None and height is None:
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raise ValueError('At least one of width or height must be specified') # Fallback to pixels == mm?
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elif width is None:
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width = img.width / img.height * height
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elif height is None:
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height = height or img.height / img.width * width # Apply default aspect ratio if unspecified
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# Resize the image to a power of two if requested (recommended for GLTF)
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if power_of_two:
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new_width = 2 ** (img.width - 1).bit_length()
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new_height = 2 ** (img.height - 1).bit_length()
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img = img.resize((new_width, new_height))
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# Save the image to a buffer
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img.save(img_buf, format=format)
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img_buf = img_buf.getvalue()
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# Build the gltf
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mgr = GLTFMgr(image=(img_buf, save_mime))
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mgr.add_face([
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vert(plane.origin - plane.x_dir * width / 2 - plane.y_dir * height / 2),
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vert(plane.origin + plane.x_dir * width / 2 - plane.y_dir * height / 2),
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vert(plane.origin + plane.x_dir * width / 2 + plane.y_dir * height / 2),
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vert(plane.origin - plane.x_dir * width / 2 + plane.y_dir * height / 2),
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], [
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(0, 2, 1),
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(0, 3, 2),
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], [
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(0, 0),
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(1, 0),
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(1, 1),
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(0, 1),
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], (1, 1, 1, 1))
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# Return the GLTF binary blob and the suggested name of the image
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return b''.join(mgr.build().save_to_bytes()), name
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