cleanup code

lightrag/base.py

@@ -91,7 +91,7 @@ class BaseKVStorage(StorageNameSpace):
     async def get_by_id(self, id: str) -> Union[dict[str, Any], None]:
         raise NotImplementedError
 
-    async def get_by_ids(self, ids: list[str]) -> list[Union[dict[str, Any], None]]:        
+    async def get_by_ids(self, ids: list[str]) -> list[Union[dict[str, Any], None]]:
         raise NotImplementedError
 
     async def filter_keys(self, data: list[str]) -> set[str]:
@@ -103,10 +103,13 @@ class BaseKVStorage(StorageNameSpace):
 
     async def drop(self) -> None:
         raise NotImplementedError
-    
-    async def get_by_status_and_ids(self, status: str) -> Union[list[dict[str, Any]], None]:
+
+    async def get_by_status_and_ids(
+        self, status: str
+    ) -> Union[list[dict[str, Any]], None]:
         raise NotImplementedError
-    
+
+
 @dataclass
 class BaseGraphStorage(StorageNameSpace):
     embedding_func: EmbeddingFunc = None

lightrag/kg/json_kv_impl.py

@@ -12,6 +12,7 @@ from lightrag.base import (
     BaseKVStorage,
 )
 
+
 @dataclass
 class JsonKVStorage(BaseKVStorage):
     def __post_init__(self):
@@ -30,7 +31,7 @@ class JsonKVStorage(BaseKVStorage):
     async def get_by_id(self, id: str) -> Union[dict[str, Any], None]:
         return self._data.get(id, None)
 
-    async def get_by_ids(self, ids: list[str]) -> list[Union[dict[str, Any], None]]: 
+    async def get_by_ids(self, ids: list[str]) -> list[Union[dict[str, Any], None]]:
         return [
             (
                 {k: v for k, v in self._data[id].items()}
@@ -50,6 +51,8 @@ class JsonKVStorage(BaseKVStorage):
     async def drop(self) -> None:
         self._data = {}
 
-    async def get_by_status_and_ids(self, status: str) -> Union[list[dict[str, Any]], None]:
+    async def get_by_status_and_ids(
+        self, status: str
+    ) -> Union[list[dict[str, Any]], None]:
         result = [v for _, v in self._data.items() if v["status"] == status]
         return result if result else None

lightrag/kg/mongo_impl.py

@@ -35,7 +35,7 @@ class MongoKVStorage(BaseKVStorage):
     async def get_by_id(self, id: str) -> Union[dict[str, Any], None]:
         return self._data.find_one({"_id": id})
 
-    async def get_by_ids(self, ids: list[str]) -> list[Union[dict[str, Any], None]]:   
+    async def get_by_ids(self, ids: list[str]) -> list[Union[dict[str, Any], None]]:
         return list(self._data.find({"_id": {"$in": ids}}))
 
     async def filter_keys(self, data: list[str]) -> set[str]:
@@ -77,7 +77,9 @@ class MongoKVStorage(BaseKVStorage):
         """Drop the collection"""
         await self._data.drop()
 
-    async def get_by_status_and_ids(self, status: str) -> Union[list[dict[str, Any]], None]:
+    async def get_by_status_and_ids(
+        self, status: str
+    ) -> Union[list[dict[str, Any]], None]:
         """Get documents by status and ids"""
         return self._data.find({"status": status})
 

lightrag/kg/oracle_impl.py

@@ -326,7 +326,8 @@ class OracleKVStorage(BaseKVStorage):
             (NameSpace.KV_STORE_FULL_DOCS, NameSpace.KV_STORE_TEXT_CHUNKS),
         ):
             logger.info("full doc and chunk data had been saved into oracle db!")
-    
+
+
 @dataclass
 class OracleVectorDBStorage(BaseVectorStorage):
     # should pass db object to self.db

lightrag/kg/postgres_impl.py

@@ -213,7 +213,7 @@ class PGKVStorage(BaseKVStorage):
             return None
 
     # Query by id
-    async def get_by_ids(self, ids: list[str]) -> list[Union[dict[str, Any], None]]:   
+    async def get_by_ids(self, ids: list[str]) -> list[Union[dict[str, Any], None]]:
         """Get doc_chunks data by id"""
         sql = SQL_TEMPLATES["get_by_ids_" + self.namespace].format(
             ids=",".join([f"'{id}'" for id in ids])
@@ -237,12 +237,14 @@ class PGKVStorage(BaseKVStorage):
             return res
         else:
             return None
-        
-    async def get_by_status_and_ids(self, status: str) -> Union[list[dict[str, Any]], None]:
+
+    async def get_by_status_and_ids(
+        self, status: str
+    ) -> Union[list[dict[str, Any]], None]:
         """Specifically for llm_response_cache."""
         SQL = SQL_TEMPLATES["get_by_status_" + self.namespace]
         params = {"workspace": self.db.workspace, "status": status}
-        return await self.db.query(SQL, params, multirows=True)    
+        return await self.db.query(SQL, params, multirows=True)
 
     async def all_keys(self) -> list[dict]:
         if is_namespace(self.namespace, NameSpace.KV_STORE_LLM_RESPONSE_CACHE):

lightrag/kg/redis_impl.py

@@ -29,7 +29,7 @@ class RedisKVStorage(BaseKVStorage):
         data = await self._redis.get(f"{self.namespace}:{id}")
         return json.loads(data) if data else None
 
-    async def get_by_ids(self, ids: list[str]) -> list[Union[dict[str, Any], None]]:    
+    async def get_by_ids(self, ids: list[str]) -> list[Union[dict[str, Any], None]]:
         pipe = self._redis.pipeline()
         for id in ids:
             pipe.get(f"{self.namespace}:{id}")
@@ -58,11 +58,12 @@ class RedisKVStorage(BaseKVStorage):
         keys = await self._redis.keys(f"{self.namespace}:*")
         if keys:
             await self._redis.delete(*keys)
-            
-    async def get_by_status_and_ids(self, status: str) -> Union[list[dict[str, Any]], None]:
+
+    async def get_by_status_and_ids(
+        self, status: str
+    ) -> Union[list[dict[str, Any]], None]:
         pipe = self._redis.pipeline()
         for key in await self._redis.keys(f"{self.namespace}:*"):
             pipe.hgetall(key)
         results = await pipe.execute()
         return [data for data in results if data.get("status") == status] or None
-

lightrag/kg/tidb_impl.py

@@ -122,7 +122,7 @@ class TiDBKVStorage(BaseKVStorage):
             return None
 
     # Query by id
-    async def get_by_ids(self, ids: list[str]) -> list[Union[dict[str, Any], None]]:   
+    async def get_by_ids(self, ids: list[str]) -> list[Union[dict[str, Any], None]]:
         """根据 id 获取 doc_chunks 数据"""
         SQL = SQL_TEMPLATES["get_by_ids_" + self.namespace].format(
             ids=",".join([f"'{id}'" for id in ids])
@@ -333,10 +333,13 @@ class TiDBVectorDBStorage(BaseVectorStorage):
                 merge_sql = SQL_TEMPLATES["insert_relationship"]
                 await self.db.execute(merge_sql, data)
 
-    async def get_by_status_and_ids(self, status: str) -> Union[list[dict[str, Any]], None]:
+    async def get_by_status_and_ids(
+        self, status: str
+    ) -> Union[list[dict[str, Any]], None]:
         SQL = SQL_TEMPLATES["get_by_status_" + self.namespace]
         params = {"workspace": self.db.workspace, "status": status}
-        return await self.db.query(SQL, params, multirows=True)  
+        return await self.db.query(SQL, params, multirows=True)
+
 
 @dataclass
 class TiDBGraphStorage(BaseGraphStorage):

lightrag/lightrag.py

@@ -629,12 +629,7 @@ class LightRAG:
         # 4. Store original document
         for doc_id, doc in new_docs.items():
             await self.full_docs.upsert(
-                {   
-                    doc_id: {
-                        "content": doc["content"],
-                        "status": DocStatus.PENDING
-                    }
-                }
+                {doc_id: {"content": doc["content"], "status": DocStatus.PENDING}}
             )
         logger.info(f"Stored {len(new_docs)} new unique documents")
 
@@ -642,10 +637,14 @@ class LightRAG:
         """Get pendding documents, split into chunks,insert chunks"""
         # 1. get all pending and failed documents
         _todo_doc_keys = []
-        
-        _failed_doc = await self.full_docs.get_by_status_and_ids(status=DocStatus.FAILED)
-        _pendding_doc = await self.full_docs.get_by_status_and_ids(status=DocStatus.PENDING)
-        
+
+        _failed_doc = await self.full_docs.get_by_status_and_ids(
+            status=DocStatus.FAILED
+        )
+        _pendding_doc = await self.full_docs.get_by_status_and_ids(
+            status=DocStatus.PENDING
+        )
+
         if _failed_doc:
             _todo_doc_keys.extend([doc["id"] for doc in _failed_doc])
         if _pendding_doc:
@@ -685,15 +684,19 @@ class LightRAG:
                         )
                     }
                     chunk_cnt += len(chunks)
-                    
+
                     try:
                         # Store chunks in vector database
                         await self.chunks_vdb.upsert(chunks)
                         # Update doc status
-                        await self.text_chunks.upsert({**chunks, "status": DocStatus.PENDING})
+                        await self.text_chunks.upsert(
+                            {**chunks, "status": DocStatus.PENDING}
+                        )
                     except Exception as e:
                         # Mark as failed if any step fails
-                        await self.text_chunks.upsert({**chunks, "status": DocStatus.FAILED})
+                        await self.text_chunks.upsert(
+                            {**chunks, "status": DocStatus.FAILED}
+                        )
                         raise e
                 except Exception as e:
                     import traceback
@@ -707,8 +710,12 @@ class LightRAG:
         """Get pendding or failed chunks, extract entities and relationships from each chunk"""
         # 1. get all pending and failed chunks
         _todo_chunk_keys = []
-        _failed_chunks = await self.text_chunks.get_by_status_and_ids(status=DocStatus.FAILED)
-        _pendding_chunks = await self.text_chunks.get_by_status_and_ids(status=DocStatus.PENDING)
+        _failed_chunks = await self.text_chunks.get_by_status_and_ids(
+            status=DocStatus.FAILED
+        )
+        _pendding_chunks = await self.text_chunks.get_by_status_and_ids(
+            status=DocStatus.PENDING
+        )
         if _failed_chunks:
             _todo_chunk_keys.extend([doc["id"] for doc in _failed_chunks])
         if _pendding_chunks:
@@ -742,11 +749,15 @@ class LightRAG:
                     if maybe_new_kg is None:
                         logger.info("No entities or relationships extracted!")
                     # Update status to processed
-                    await self.text_chunks.upsert({chunk_id: {"status": DocStatus.PROCESSED}})
+                    await self.text_chunks.upsert(
+                        {chunk_id: {"status": DocStatus.PROCESSED}}
+                    )
                 except Exception as e:
                     logger.error("Failed to extract entities and relationships")
                     # Mark as failed if any step fails
-                    await self.text_chunks.upsert({chunk_id: {"status": DocStatus.FAILED}})
+                    await self.text_chunks.upsert(
+                        {chunk_id: {"status": DocStatus.FAILED}}
+                    )
                     raise e
 
         with tqdm_async(