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https://github.com/willmiao/ComfyUI-Lora-Manager.git
synced 2026-08-28 08:21:27 -03:00
fix(recipes): enforce batch-import concurrency bound and harden ingest errors (#1085)
Address the rate-limit flood and secondary errors seen during large recipe ingestion (example-images directory import): - batch import: share one adaptive-concurrency semaphore across the whole batch (previously each item got a fresh semaphore, so the min/max concurrency bounds never applied and every item ran concurrently); synchronize the shared semaphore capacity after each completed item. - comfy parser: guard ckpt_name against list/None values so re.search no longer raises TypeError and fails the whole image import. - civarchive client: normalize empty-string failure payloads to "Request failed" and treat a missing payload as an error, fixing the "'NoneType' object has no attribute 'get'" crash. - civarchive client: log connectivity-guard offline-cooldown short-circuits at DEBUG instead of one ERROR per request.
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+28
-18
@@ -40,24 +40,34 @@ class ComfyMetadataParser(RecipeMetadataParser):
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checkpoint_node = next(iter(checkpoint_nodes.values()))
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if 'inputs' in checkpoint_node and 'ckpt_name' in checkpoint_node['inputs']:
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checkpoint_name = checkpoint_node['inputs']['ckpt_name']
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checkpoint_match = re.search(r'civitai:(\d+)@(\d+)', checkpoint_name)
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if checkpoint_match:
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checkpoint_id = checkpoint_match.group(1)
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checkpoint_version_id = checkpoint_match.group(2)
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checkpoint = {
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'id': checkpoint_version_id,
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'modelId': checkpoint_id,
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'name': f"Checkpoint {checkpoint_id}",
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'version': '',
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'type': 'checkpoint'
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}
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if metadata_provider:
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try:
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civitai_info_tuple = await metadata_provider.get_model_version_info(checkpoint_version_id)
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civitai_info, _ = civitai_info_tuple if isinstance(civitai_info_tuple, tuple) else (civitai_info_tuple, None)
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checkpoint = await self.populate_checkpoint_from_civitai(checkpoint, civitai_info)
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except Exception as e:
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logger.error(f"Error fetching Civitai info for checkpoint: {e}")
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# Some ComfyUI workflows serialize ckpt_name as a
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# single-element list (e.g. ["model.safetensors"]) or leave
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# the value unset (None). Neither is a string, so skip the
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# CivitAI-URN lookup instead of crashing re.search with a
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# TypeError that fails the whole image import.
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if isinstance(checkpoint_name, list):
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checkpoint_name = (
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checkpoint_name[0] if checkpoint_name else None
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)
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if isinstance(checkpoint_name, str):
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checkpoint_match = re.search(r'civitai:(\d+)@(\d+)', checkpoint_name)
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if checkpoint_match:
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checkpoint_id = checkpoint_match.group(1)
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checkpoint_version_id = checkpoint_match.group(2)
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checkpoint = {
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'id': checkpoint_version_id,
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'modelId': checkpoint_id,
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'name': f"Checkpoint {checkpoint_id}",
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'version': '',
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'type': 'checkpoint'
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}
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if metadata_provider:
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try:
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civitai_info_tuple = await metadata_provider.get_model_version_info(checkpoint_version_id)
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civitai_info, _ = civitai_info_tuple if isinstance(civitai_info_tuple, tuple) else (civitai_info_tuple, None)
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checkpoint = await self.populate_checkpoint_from_civitai(checkpoint, civitai_info)
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except Exception as e:
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logger.error(f"Error fetching Civitai info for checkpoint: {e}")
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recipe_base_model = checkpoint.get('baseModel') if checkpoint else None
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loras = []
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