"""
Datenmodell für ein geladenes Logo.
Hält sowohl das Originalbild als auch die extrahierten Vektorpfade.
"""
from __future__ import annotations
from dataclasses import dataclass, field
from pathlib import Path
from typing import Optional

import numpy as np
from svgpathtools import Path as SvgPath


@dataclass
class GlyphGroup:
    """Ein erkannter Buchstabe / eine zusammenhängende Pfadgruppe."""
    label: str
    paths: list[SvgPath] = field(default_factory=list)
    bbox: tuple[float, float, float, float] = (0, 0, 0, 0)  # x, y, w, h
    offset_x: float = 0.0
    offset_y: float = 0.0
    stroke_width_factor: float = 1.0


@dataclass
class LogoProject:
    """Gesamtes Logo-Projekt mit allen Metadaten."""
    source_path: Optional[Path] = None
    original_pixels: Optional[np.ndarray] = None
    width: int = 0
    height: int = 0
    glyphs: list[GlyphGroup] = field(default_factory=list)
    global_letter_spacing: float = 0.0
    global_stroke_width: float = 1.0
    zoom: float = 1.0

    @property
    def has_image(self) -> bool:
        return self.original_pixels is not None

    @property
    def has_vectors(self) -> bool:
        return len(self.glyphs) > 0