alexei.dolgolyov
87e7eee743
Introduce Pattern Template entity as a reusable rectangle layout that Key Colors targets reference via pattern_template_id. This replaces inline rectangle storage with a shared template system. Backend: - New PatternTemplate data model, store (JSON persistence), CRUD API - KC targets now reference pattern_template_id instead of inline rectangles - ProcessorManager resolves pattern template at KC processing start - Picture source test endpoint supports capture_duration=0 for single frame - Delete protection: 409 when template is referenced by a KC target Frontend: - Pattern Templates section in Key Colors sub-tab with card UI - Visual canvas editor with drag-to-move, 8-point resize handles - Background capture from any picture source for visual alignment - Precise coordinate list synced bidirectionally with canvas - Resizable editor container, viewport-constrained modal - KC target editor uses pattern template dropdown instead of inline rects - Localization (en/ru) for all new UI elements Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
48 lines
1.6 KiB
Python
48 lines
1.6 KiB
Python
"""Pattern template data model for key color rectangle layouts."""
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from dataclasses import dataclass, field
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from datetime import datetime
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from typing import List, Optional
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from wled_controller.storage.key_colors_picture_target import KeyColorRectangle
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@dataclass
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class PatternTemplate:
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"""Pattern template containing a named layout of key color rectangles."""
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id: str
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name: str
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rectangles: List[KeyColorRectangle]
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created_at: datetime
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updated_at: datetime
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description: Optional[str] = None
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def to_dict(self) -> dict:
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"""Convert to dictionary."""
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return {
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"id": self.id,
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"name": self.name,
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"rectangles": [r.to_dict() for r in self.rectangles],
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"created_at": self.created_at.isoformat(),
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"updated_at": self.updated_at.isoformat(),
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"description": self.description,
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}
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@classmethod
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def from_dict(cls, data: dict) -> "PatternTemplate":
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"""Create from dictionary."""
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rectangles = [KeyColorRectangle.from_dict(r) for r in data.get("rectangles", [])]
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return cls(
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id=data["id"],
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name=data["name"],
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rectangles=rectangles,
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created_at=datetime.fromisoformat(data["created_at"])
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if isinstance(data.get("created_at"), str)
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else data.get("created_at", datetime.utcnow()),
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updated_at=datetime.fromisoformat(data["updated_at"])
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if isinstance(data.get("updated_at"), str)
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else data.get("updated_at", datetime.utcnow()),
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description=data.get("description"),
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)
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