Files
ComfyUI-Lora-Manager/py/nodes/debug_metadata.py
Will Miao 07d599810d feat(debug): replace websocket with ComfyUI UI system for metadata display
- Update DebugMetadata node to return metadata via ComfyUI's UI system instead of websocket
- Add new JsonDisplayWidget Vue component for displaying metadata in the UI
- Remove dependency on PromptServer and websocket communication
- Improve error handling with proper UI feedback
- Maintain backward compatibility with existing metadata collection system
2026-01-16 21:29:53 +08:00

62 lines
1.8 KiB
Python

import logging
from ..metadata_collector.metadata_processor import MetadataProcessor
logger = logging.getLogger(__name__)
class DebugMetadata:
NAME = "Debug Metadata (LoraManager)"
CATEGORY = "Lora Manager/utils"
DESCRIPTION = "Debug node to verify metadata_processor functionality"
OUTPUT_NODE = True
@classmethod
def INPUT_TYPES(cls):
return {
"required": {
"images": ("IMAGE",),
},
"hidden": {
"id": "UNIQUE_ID",
},
}
RETURN_TYPES = ()
FUNCTION = "process_metadata"
def process_metadata(self, images, id):
"""
Process metadata from the execution context and return it for UI display.
The metadata is returned via the 'ui' key in the return dict, which triggers
node.onExecuted on the frontend to update the JsonDisplayWidget.
Args:
images: Input images (required for execution flow)
id: Node's unique ID (hidden)
Returns:
Dict with 'result' (empty tuple) and 'ui' (metadata dict for widget display)
"""
try:
# Get the current execution context's metadata
from ..metadata_collector import get_metadata
metadata = get_metadata()
# Use the MetadataProcessor to convert it to dict
metadata_dict = MetadataProcessor.to_dict(metadata, id)
return {
"result": (),
# ComfyUI expects ui values to be lists, wrap the dict in a list
"ui": {"metadata": [metadata_dict]},
}
except Exception as e:
logger.error(f"Error processing metadata: {e}")
return {
"result": (),
"ui": {"metadata": [{"error": str(e)}]},
}