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>

server/src/wled_controller/storage/value_source.py

@@ -11,7 +11,7 @@ parameters like brightness.  Five types:
 """
 
 from dataclasses import dataclass, field
-from datetime import datetime
+from datetime import datetime, timezone
 from typing import List, Optional
 
 
@@ -25,6 +25,7 @@ class ValueSource:
     created_at: datetime
     updated_at: datetime
     description: Optional[str] = None
+    tags: List[str] = field(default_factory=list)
 
     def to_dict(self) -> dict:
         """Convert source to dictionary. Subclasses extend this."""
@@ -35,6 +36,7 @@ class ValueSource:
             "created_at": self.created_at.isoformat(),
             "updated_at": self.updated_at.isoformat(),
             "description": self.description,
+            "tags": self.tags,
             # Subclass fields default to None for forward compat
             "value": None,
             "waveform": None,
@@ -58,26 +60,27 @@ class ValueSource:
         sid: str = data["id"]
         name: str = data["name"]
         description: str | None = data.get("description")
+        tags: list = data.get("tags", [])
 
         raw_created = data.get("created_at")
         created_at: datetime = (
             datetime.fromisoformat(raw_created)
             if isinstance(raw_created, str)
             else raw_created if isinstance(raw_created, datetime)
-            else datetime.utcnow()
+            else datetime.now(timezone.utc)
         )
         raw_updated = data.get("updated_at")
         updated_at: datetime = (
             datetime.fromisoformat(raw_updated)
             if isinstance(raw_updated, str)
             else raw_updated if isinstance(raw_updated, datetime)
-            else datetime.utcnow()
+            else datetime.now(timezone.utc)
         )
 
         if source_type == "animated":
             return AnimatedValueSource(
                 id=sid, name=name, source_type="animated",
-                created_at=created_at, updated_at=updated_at, description=description,
+                created_at=created_at, updated_at=updated_at, description=description, tags=tags,
                 waveform=data.get("waveform") or "sine",
                 speed=float(data.get("speed") or 10.0),
                 min_value=float(data.get("min_value") or 0.0),
@@ -87,7 +90,7 @@ class ValueSource:
         if source_type == "audio":
             return AudioValueSource(
                 id=sid, name=name, source_type="audio",
-                created_at=created_at, updated_at=updated_at, description=description,
+                created_at=created_at, updated_at=updated_at, description=description, tags=tags,
                 audio_source_id=data.get("audio_source_id") or "",
                 mode=data.get("mode") or "rms",
                 sensitivity=float(data.get("sensitivity") or 1.0),
@@ -100,7 +103,7 @@ class ValueSource:
         if source_type == "adaptive_time":
             return AdaptiveValueSource(
                 id=sid, name=name, source_type="adaptive_time",
-                created_at=created_at, updated_at=updated_at, description=description,
+                created_at=created_at, updated_at=updated_at, description=description, tags=tags,
                 schedule=data.get("schedule") or [],
                 min_value=float(data.get("min_value") or 0.0),
                 max_value=float(data["max_value"]) if data.get("max_value") is not None else 1.0,
@@ -109,7 +112,7 @@ class ValueSource:
         if source_type == "adaptive_scene":
             return AdaptiveValueSource(
                 id=sid, name=name, source_type="adaptive_scene",
-                created_at=created_at, updated_at=updated_at, description=description,
+                created_at=created_at, updated_at=updated_at, description=description, tags=tags,
                 picture_source_id=data.get("picture_source_id") or "",
                 scene_behavior=data.get("scene_behavior") or "complement",
                 sensitivity=float(data.get("sensitivity") or 1.0),
@@ -121,7 +124,7 @@ class ValueSource:
         # Default: "static" type
         return StaticValueSource(
             id=sid, name=name, source_type="static",
-            created_at=created_at, updated_at=updated_at, description=description,
+            created_at=created_at, updated_at=updated_at, description=description, tags=tags,
             value=float(data["value"]) if data.get("value") is not None else 1.0,
         )