mirror of
https://github.com/willmiao/ComfyUI-Lora-Manager.git
synced 2026-03-21 21:22:11 -03:00
41101ad5c6
Rename all node classes to use consistent 'LM' suffix pattern: - LoraCyclerNode → LoraCyclerLM - LoraManagerLoader → LoraLoaderLM - LoraManagerTextLoader → LoraTextLoaderLM - LoraStacker → LoraStackerLM - LoraRandomizerNode → LoraRandomizerLM - LoraPoolNode → LoraPoolLM - WanVideoLoraSelectFromText → WanVideoLoraTextSelectLM - DebugMetadata → DebugMetadataLM - TriggerWordToggle → TriggerWordToggleLM - PromptLoraManager → PromptLM Updated: - Core node class definitions (9 files) - NODE_CLASS_MAPPINGS in __init__.py - Node type mappings in node_extractors.py - All related test imports and references - Logger prefixes for consistency Frontend extension names remain unchanged (LoraManager.LoraStacker, etc.)
62 lines
1.8 KiB
Python
62 lines
1.8 KiB
Python
import logging
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from ..metadata_collector.metadata_processor import MetadataProcessor
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logger = logging.getLogger(__name__)
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class DebugMetadataLM:
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NAME = "Debug Metadata (LoraManager)"
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CATEGORY = "Lora Manager/utils"
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DESCRIPTION = "Debug node to verify metadata_processor functionality"
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OUTPUT_NODE = True
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {
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"images": ("IMAGE",),
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},
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"hidden": {
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"id": "UNIQUE_ID",
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},
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}
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RETURN_TYPES = ()
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FUNCTION = "process_metadata"
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def process_metadata(self, images, id):
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"""
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Process metadata from the execution context and return it for UI display.
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The metadata is returned via the 'ui' key in the return dict, which triggers
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node.onExecuted on the frontend to update the JsonDisplayWidget.
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Args:
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images: Input images (required for execution flow)
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id: Node's unique ID (hidden)
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Returns:
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Dict with 'result' (empty tuple) and 'ui' (metadata dict for widget display)
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"""
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try:
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# Get the current execution context's metadata
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from ..metadata_collector import get_metadata
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metadata = get_metadata()
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# Use the MetadataProcessor to convert it to dict
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metadata_dict = MetadataProcessor.to_dict(metadata, id)
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return {
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"result": (),
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# ComfyUI expects ui values to be lists, wrap the dict in a list
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"ui": {"metadata": [metadata_dict]},
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}
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except Exception as e:
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logger.error(f"Error processing metadata: {e}")
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return {
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"result": (),
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"ui": {"metadata": [{"error": str(e)}]},
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}
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