44 lines
1.2 KiB
Python
44 lines
1.2 KiB
Python
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"""
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Datenmodell für ein geladenes Logo.
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Hält sowohl das Originalbild als auch die extrahierten Vektorpfade.
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"""
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from __future__ import annotations
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from dataclasses import dataclass, field
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from pathlib import Path
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from typing import Optional
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import numpy as np
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from svgpathtools import Path as SvgPath
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@dataclass
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class GlyphGroup:
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"""Ein erkannter Buchstabe / eine zusammenhängende Pfadgruppe."""
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label: str
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paths: list[SvgPath] = field(default_factory=list)
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bbox: tuple[float, float, float, float] = (0, 0, 0, 0) # x, y, w, h
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offset_x: float = 0.0
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offset_y: float = 0.0
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stroke_width_factor: float = 1.0
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@dataclass
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class LogoProject:
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"""Gesamtes Logo-Projekt mit allen Metadaten."""
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source_path: Optional[Path] = None
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original_pixels: Optional[np.ndarray] = None
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width: int = 0
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height: int = 0
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glyphs: list[GlyphGroup] = field(default_factory=list)
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global_letter_spacing: float = 0.0
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global_stroke_width: float = 1.0
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zoom: float = 1.0
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@property
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def has_image(self) -> bool:
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return self.original_pixels is not None
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@property
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def has_vectors(self) -> bool:
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return len(self.glyphs) > 0
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