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Fix linting

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This commit is contained in:
yangdx
2025-03-17 04:09:12 +08:00
parent c23cff2962
commit 58d519f133
1 changed files with 13 additions and 16 deletions
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29
lightrag/lightrag.py
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@@ -769,7 +769,6 @@ class LightRAG:
async with pipeline_status_lock:
# Ensure only one worker is processing documents
if not pipeline_status.get("busy", False):
processing_docs, failed_docs, pending_docs = await asyncio.gather(
self.doc_status.get_docs_by_status(DocStatus.PROCESSING),
self.doc_status.get_docs_by_status(DocStatus.FAILED),
@@ -833,12 +832,12 @@ class LightRAG:
pipeline_status["history_messages"].append(log_message)
async def process_document(
doc_id: str,
doc_id: str,
status_doc: DocProcessingStatus,
split_by_character: str | None,
split_by_character_only: bool,
pipeline_status: dict,
pipeline_status_lock: asyncio.Lock
pipeline_status_lock: asyncio.Lock,
) -> None:
"""Process single document"""
try:
@@ -912,9 +911,7 @@ class LightRAG:
)
except Exception as e:
# Log error and update pipeline status
error_msg = (
f"Failed to process document {doc_id}: {str(e)}"
)
error_msg = f"Failed to process document {doc_id}: {str(e)}"
logger.error(error_msg)
async with pipeline_status_lock:
pipeline_status["latest_message"] = error_msg
@@ -945,38 +942,38 @@ class LightRAG:
)
# 3. iterate over batches
total_batches = len(docs_batches)
total_batches = len(docs_batches)
for batch_idx, docs_batch in enumerate(docs_batches):
current_batch = batch_idx + 1
log_message = f"Start processing batch {current_batch} of {total_batches}."
current_batch = batch_idx + 1
log_message = (
f"Start processing batch {current_batch} of {total_batches}."
)
logger.info(log_message)
pipeline_status["cur_batch"] = current_batch
pipeline_status["latest_message"] = log_message
pipeline_status["history_messages"].append(log_message)
doc_tasks = []
for doc_id, status_doc in docs_batch:
doc_tasks.append(
process_document(
doc_id,
doc_id,
status_doc,
split_by_character,
split_by_character_only,
pipeline_status,
pipeline_status_lock
pipeline_status_lock,
)
)
# Process documents in one batch parallelly
await asyncio.gather(*doc_tasks)
await self._insert_done()
log_message = f"Completed batch {current_batch} of {total_batches}."
logger.info(log_message)
pipeline_status["latest_message"] = log_message
pipeline_status["history_messages"].append(log_message)
# Check if there's a pending request to process more documents (with lock)
has_pending_request = False