From bbff3ed0abc26b5b403e75c432ca1fd95b6071c3 Mon Sep 17 00:00:00 2001 From: yangdx Date: Mon, 10 Mar 2025 17:30:40 +0800 Subject: [PATCH] Fix linting --- lightrag/lightrag.py | 12 +++++++++--- lightrag/operate.py | 2 +- 2 files changed, 10 insertions(+), 4 deletions(-) diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index 5b42fa3d..3cd379b6 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -887,7 +887,9 @@ class LightRAG: self.chunks_vdb.upsert(chunks) ) entity_relation_task = asyncio.create_task( - self._process_entity_relation_graph(chunks, pipeline_status, pipeline_status_lock) + self._process_entity_relation_graph( + chunks, pipeline_status, pipeline_status_lock + ) ) full_docs_task = asyncio.create_task( self.full_docs.upsert( @@ -1002,7 +1004,9 @@ class LightRAG: pipeline_status["latest_message"] = log_message pipeline_status["history_messages"].append(log_message) - async def _process_entity_relation_graph(self, chunk: dict[str, Any], pipeline_status=None, pipeline_status_lock=None) -> None: + async def _process_entity_relation_graph( + self, chunk: dict[str, Any], pipeline_status=None, pipeline_status_lock=None + ) -> None: try: await extract_entities( chunk, @@ -1018,7 +1022,9 @@ class LightRAG: logger.error("Failed to extract entities and relationships") raise e - async def _insert_done(self, pipeline_status=None, pipeline_status_lock=None) -> None: + async def _insert_done( + self, pipeline_status=None, pipeline_status_lock=None + ) -> None: tasks = [ cast(StorageNameSpace, storage_inst).index_done_callback() for storage_inst in [ # type: ignore diff --git a/lightrag/operate.py b/lightrag/operate.py index 5d6b7c7d..e352ff79 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -341,7 +341,7 @@ async def extract_entities( relationships_vdb: BaseVectorStorage, global_config: dict[str, str], pipeline_status: dict = None, - pipeline_status_lock = None, + pipeline_status_lock=None, llm_response_cache: BaseKVStorage | None = None, ) -> None: use_llm_func: callable = global_config["llm_model_func"]