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Preserve failed documents during data consistency validation for manual review

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This commit is contained in:
yangdx 2025-08-16 22:29:46 +08:00
parent e1310c5262
commit ca4c18baaa
1 changed files with 27 additions and 5 deletions
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32
lightrag/lightrag.py
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@ -1114,17 +1114,37 @@ class LightRAG:
pipeline_status: dict,
pipeline_status_lock: asyncio.Lock,
) -> dict[str, DocProcessingStatus]:
"""Validate and fix document data consistency by deleting inconsistent entries"""
"""Validate and fix document data consistency by deleting inconsistent entries, but preserve failed documents"""
inconsistent_docs = []
failed_docs_to_preserve = []
# Check each document's data consistency
for doc_id, status_doc in to_process_docs.items():
# Check if corresponding content exists in full_docs
content_data = await self.full_docs.get_by_id(doc_id)
if not content_data:
inconsistent_docs.append(doc_id)
# Check if this is a failed document that should be preserved
if (
hasattr(status_doc, "status")
and status_doc.status == DocStatus.FAILED
):
failed_docs_to_preserve.append(doc_id)
else:
inconsistent_docs.append(doc_id)
# Delete inconsistent document entries one by one
# Log information about failed documents that will be preserved
if failed_docs_to_preserve:
async with pipeline_status_lock:
preserve_message = f"Preserving {len(failed_docs_to_preserve)} failed document entries for manual review"
logger.info(preserve_message)
pipeline_status["latest_message"] = preserve_message
pipeline_status["history_messages"].append(preserve_message)
# Remove failed documents from processing list but keep them in doc_status
for doc_id in failed_docs_to_preserve:
to_process_docs.pop(doc_id, None)
# Delete inconsistent document entries(excluding failed documents)
if inconsistent_docs:
async with pipeline_status_lock:
summary_message = (
@ -1146,7 +1166,9 @@ class LightRAG:
# Log successful deletion
async with pipeline_status_lock:
log_message = f"Deleted entry: {doc_id} ({file_path})"
log_message = (
f"Deleted inconsistent entry: {doc_id} ({file_path})"
)
logger.info(log_message)
pipeline_status["latest_message"] = log_message
pipeline_status["history_messages"].append(log_message)
@ -1164,7 +1186,7 @@ class LightRAG:
# Final summary log
async with pipeline_status_lock:
final_message = f"Data consistency cleanup completed: successfully deleted {successful_deletions} entries"
final_message = f"Data consistency cleanup completed: successfully deleted {successful_deletions} inconsistent entries, preserved {len(failed_docs_to_preserve)} failed documents"
logger.info(final_message)
pipeline_status["latest_message"] = final_message
pipeline_status["history_messages"].append(final_message)