Files
ledgrab/server/src/wled_controller/storage/postprocessing_template.py
T
alexei.dolgolyov 30fa107ef7 Add tags to all entity types with chip-based input and autocomplete
- Add `tags: List[str]` field to all 13 entity types (devices, output targets,
  CSS sources, picture sources, audio sources, value sources, sync clocks,
  automations, scene presets, capture/audio/PP/pattern templates)
- Update all stores, schemas, and route handlers for tag CRUD
- Add GET /api/v1/tags endpoint aggregating unique tags across all stores
- Create TagInput component with chip display, autocomplete dropdown,
  keyboard navigation, and API-backed suggestions
- Display tag chips on all entity cards (searchable via existing text filter)
- Add tag input to all 14 editor modals with dirty check support
- Add CSS styles and i18n keys (en/ru/zh) for tag UI
- Also includes code review fixes: thread safety, perf, store dedup

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-09 22:20:19 +03:00

52 lines
1.7 KiB
Python

"""Postprocessing template data model."""
from dataclasses import dataclass, field
from datetime import datetime, timezone
from typing import List, Optional
from wled_controller.core.filters.filter_instance import FilterInstance
@dataclass
class PostprocessingTemplate:
"""Postprocessing settings template containing an ordered list of filters."""
id: str
name: str
filters: List[FilterInstance]
created_at: datetime
updated_at: datetime
description: Optional[str] = None
tags: List[str] = field(default_factory=list)
def to_dict(self) -> dict:
"""Convert template to dictionary."""
return {
"id": self.id,
"name": self.name,
"filters": [f.to_dict() for f in self.filters],
"created_at": self.created_at.isoformat(),
"updated_at": self.updated_at.isoformat(),
"description": self.description,
"tags": self.tags,
}
@classmethod
def from_dict(cls, data: dict) -> "PostprocessingTemplate":
"""Create template from dictionary."""
filters = [FilterInstance.from_dict(f) for f in data.get("filters", [])]
return cls(
id=data["id"],
name=data["name"],
filters=filters,
created_at=datetime.fromisoformat(data["created_at"])
if isinstance(data.get("created_at"), str)
else data.get("created_at", datetime.now(timezone.utc)),
updated_at=datetime.fromisoformat(data["updated_at"])
if isinstance(data.get("updated_at"), str)
else data.get("updated_at", datetime.now(timezone.utc)),
description=data.get("description"),
tags=data.get("tags", []),
)