Fix linting

lightrag/kg/neo4j_impl.py

@@ -833,7 +833,7 @@ class Neo4JStorage(BaseGraphStorage):
 
                     logger.info(
                         f"Subgraph query successful | Node count: {len(result.nodes)} | Edge count: {len(result.edges)}"
-        )
+                    )
 
             except neo4jExceptions.ClientError as e:
                 logger.warning(f"APOC plugin error: {str(e)}")

lightrag/operate.py

@@ -442,9 +442,10 @@ async def extract_entities(
     total_chunks = len(ordered_chunks)
     total_entities_count = 0
     total_relations_count = 0
-    
+
     # Get lock manager from shared storage
     from .kg.shared_storage import get_graph_db_lock
+
     graph_db_lock = get_graph_db_lock(enable_logging=False)
 
     async def _user_llm_func_with_cache(
@@ -602,11 +603,11 @@ async def extract_entities(
             async with pipeline_status_lock:
                 pipeline_status["latest_message"] = log_message
                 pipeline_status["history_messages"].append(log_message)
-        
+
         # Use graph database lock to ensure atomic merges and updates
         chunk_entities_data = []
         chunk_relationships_data = []
-        
+
         async with graph_db_lock:
             # Process and update entities
             for entity_name, entities in maybe_nodes.items():
@@ -614,16 +615,20 @@ async def extract_entities(
                     entity_name, entities, knowledge_graph_inst, global_config
                 )
                 chunk_entities_data.append(entity_data)
-            
+
             # Process and update relationships
             for edge_key, edges in maybe_edges.items():
                 # Ensure edge direction consistency
                 sorted_edge_key = tuple(sorted(edge_key))
                 edge_data = await _merge_edges_then_upsert(
-                    sorted_edge_key[0], sorted_edge_key[1], edges, knowledge_graph_inst, global_config
+                    sorted_edge_key[0],
+                    sorted_edge_key[1],
+                    edges,
+                    knowledge_graph_inst,
+                    global_config,
                 )
                 chunk_relationships_data.append(edge_data)
-            
+
             # Update vector database (within the same lock to ensure atomicity)
             if entity_vdb is not None and chunk_entities_data:
                 data_for_vdb = {
@@ -637,7 +642,7 @@ async def extract_entities(
                     for dp in chunk_entities_data
                 }
                 await entity_vdb.upsert(data_for_vdb)
-            
+
             if relationships_vdb is not None and chunk_relationships_data:
                 data_for_vdb = {
                     compute_mdhash_id(dp["src_id"] + dp["tgt_id"], prefix="rel-"): {
@@ -651,7 +656,7 @@ async def extract_entities(
                     for dp in chunk_relationships_data
                 }
                 await relationships_vdb.upsert(data_for_vdb)
-            
+
             # Update counters
             total_entities_count += len(chunk_entities_data)
             total_relations_count += len(chunk_relationships_data)