Files
ledgrab/server/src/wled_controller/storage/audio_processing_template.py
T
alexei.dolgolyov 86a9d344e6 feat(processed-audio-sources): phase 1 - audio filter framework
Add the foundation for audio processing filters, mirroring the existing
picture filter/postprocessing template system:
- AudioFilter base class, AudioFilterRegistry, AudioFilterOptionDef
- AudioProcessingTemplate dataclass + SQLite-backed store
- audio_filter_template meta-filter with recursive resolution
- Full REST API: CRUD templates + filter registry discovery
- Dependency injection wired in dependencies.py and main.py
2026-03-31 17:35:39 +02:00

56 lines
1.8 KiB
Python

"""Audio processing 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 AudioProcessingTemplate:
"""Audio processing settings template containing an ordered list of audio 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) -> "AudioProcessingTemplate":
"""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", []),
)