Merge pull request #841 from YanSte/cleanup

lightrag/kg/oracle_impl.py

@@ -140,8 +140,6 @@ class OracleDB:
                     await cursor.execute(sql, params)
                 except Exception as e:
                     logger.error(f"Oracle database error: {e}")
-                    print(sql)
-                    print(params)
                     raise
                 columns = [column[0].lower() for column in cursor.description]
                 if multirows:
@@ -172,8 +170,6 @@ class OracleDB:
                     await connection.commit()
         except Exception as e:
             logger.error(f"Oracle database error: {e}")
-            print(sql)
-            print(data)
             raise
 
 
@@ -349,9 +345,7 @@ class OracleVectorDBStorage(BaseVectorStorage):
             "top_k": top_k,
             "better_than_threshold": self.cosine_better_than_threshold,
         }
-        # print(SQL)
         results = await self.db.query(SQL, params=params, multirows=True)
-        # print("vector search result:",results)
         return results
 
     async def upsert(self, data: dict[str, dict[str, Any]]) -> None:
@@ -477,8 +471,6 @@ class OracleGraphStorage(BaseGraphStorage):
         """根据节点id检查节点是否存在"""
         SQL = SQL_TEMPLATES["has_node"]
         params = {"workspace": self.db.workspace, "node_id": node_id}
-        # print(SQL)
-        # print(self.db.workspace, node_id)
         res = await self.db.query(SQL, params)
         if res:
             # print("Node exist!",res)
@@ -494,7 +486,6 @@ class OracleGraphStorage(BaseGraphStorage):
             "source_node_id": source_node_id,
             "target_node_id": target_node_id,
         }
-        # print(SQL)
         res = await self.db.query(SQL, params)
         if res:
             # print("Edge exist!",res)
@@ -506,33 +497,25 @@ class OracleGraphStorage(BaseGraphStorage):
     async def node_degree(self, node_id: str) -> int:
         SQL = SQL_TEMPLATES["node_degree"]
         params = {"workspace": self.db.workspace, "node_id": node_id}
-        # print(SQL)
         res = await self.db.query(SQL, params)
         if res:
-            # print("Node degree",res["degree"])
             return res["degree"]
         else:
-            # print("Edge not exist!")
             return 0
 
     async def edge_degree(self, src_id: str, tgt_id: str) -> int:
         """根据源和目标节点id获取边的度"""
         degree = await self.node_degree(src_id) + await self.node_degree(tgt_id)
-        # print("Edge degree",degree)
         return degree
 
     async def get_node(self, node_id: str) -> dict[str, str] | None:
         """根据节点id获取节点数据"""
         SQL = SQL_TEMPLATES["get_node"]
         params = {"workspace": self.db.workspace, "node_id": node_id}
-        # print(self.db.workspace, node_id)
-        # print(SQL)
         res = await self.db.query(SQL, params)
         if res:
-            # print("Get node!",self.db.workspace, node_id,res)
             return res
         else:
-            # print("Can't get node!",self.db.workspace, node_id)
             return None
 
     async def get_edge(

lightrag/kg/postgres_impl.py

@@ -136,9 +136,9 @@ class PostgreSQLDB:
                         data = None
                 return data
             except Exception as e:
-                logger.error(f"PostgreSQL database error: {e}")
-                print(sql)
-                print(params)
+                logger.error(
+                    f"PostgreSQL database,\nsql:{sql},\nparams:{params},\nerror:{e}"
+                )
                 raise
 
     async def execute(
@@ -167,9 +167,7 @@ class PostgreSQLDB:
             else:
                 logger.error(f"Upsert error: {e}")
         except Exception as e:
-            logger.error(f"PostgreSQL database error: {e.__class__} - {e}")
-            print(sql)
-            print(data)
+            logger.error(f"PostgreSQL database,\nsql:{sql},\ndata:{data},\nerror:{e}")
             raise
 
     @staticmethod
@@ -266,9 +264,10 @@ class PGKVStorage(BaseKVStorage):
             new_keys = set([s for s in keys if s not in exist_keys])
             return new_keys
         except Exception as e:
-            logger.error(f"PostgreSQL database error: {e}")
-            print(sql)
-            print(params)
+            logger.error(
+                f"PostgreSQL database,\nsql:{sql},\nparams:{params},\nerror:{e}"
+            )
+            raise
 
     ################ INSERT METHODS ################
     async def upsert(self, data: dict[str, dict[str, Any]]) -> None:
@@ -333,9 +332,9 @@ class PGVectorStorage(BaseVectorStorage):
                 "content_vector": json.dumps(item["__vector__"].tolist()),
             }
         except Exception as e:
-            logger.error(f"Error to prepare upsert sql: {e}")
-            print(item)
-            raise e
+            logger.error(f"Error to prepare upsert,\nsql: {e}\nitem: {item}")
+            raise
+
         return upsert_sql, data
 
     def _upsert_entities(self, item: dict):
@@ -454,9 +453,10 @@ class PGDocStatusStorage(DocStatusStorage):
             print(f"new_keys: {new_keys}")
             return new_keys
         except Exception as e:
-            logger.error(f"PostgreSQL database error: {e}")
-            print(sql)
-            print(params)
+            logger.error(
+                f"PostgreSQL database,\nsql:{sql},\nparams:{params},\nerror:{e}"
+            )
+            raise
 
     async def get_by_id(self, id: str) -> Union[dict[str, Any], None]:
         sql = "select * from LIGHTRAG_DOC_STATUS where workspace=$1 and id=$2"

lightrag/kg/tidb_impl.py

@@ -76,9 +76,7 @@ class TiDB:
             try:
                 result = conn.execute(text(sql), params)
             except Exception as e:
-                logger.error(f"Tidb database error: {e}")
-                print(sql)
-                print(params)
+                logger.error(f"Tidb database,\nsql:{sql},\nparams:{params},\nerror:{e}")
                 raise
             if multirows:
                 rows = result.all()
@@ -103,9 +101,7 @@ class TiDB:
                 else:
                     conn.execute(text(sql), parameters=data)
         except Exception as e:
-            logger.error(f"TiDB database error: {e}")
-            print(sql)
-            print(data)
+            logger.error(f"Tidb database,\nsql:{sql},\ndata:{data},\nerror:{e}")
             raise
 
 
@@ -145,8 +141,7 @@ class TiDBKVStorage(BaseKVStorage):
         try:
             await self.db.query(SQL)
         except Exception as e:
-            logger.error(f"Tidb database error: {e}")
-            print(SQL)
+            logger.error(f"Tidb database,\nsql:{SQL},\nkeys:{keys},\nerror:{e}")
         res = await self.db.query(SQL, multirows=True)
         if res:
             exist_keys = [key["id"] for key in res]

lightrag/llm/openai.py

@@ -77,7 +77,7 @@ from lightrag.types import GPTKeywordExtractionFormat
 from lightrag.api import __api_version__
 
 import numpy as np
-from typing import Union
+from typing import Any, Union
 
 
 class InvalidResponseError(Exception):
@@ -94,13 +94,13 @@ class InvalidResponseError(Exception):
     ),
 )
 async def openai_complete_if_cache(
-    model,
-    prompt,
-    system_prompt=None,
-    history_messages=None,
-    base_url=None,
-    api_key=None,
-    **kwargs,
+    model: str,
+    prompt: str,
+    system_prompt: str | None = None,
+    history_messages: list[dict[str, Any]] | None = None,
+    base_url: str | None = None,
+    api_key: str | None = None,
+    **kwargs: Any,
 ) -> str:
     if history_messages is None:
         history_messages = []
@@ -125,7 +125,7 @@ async def openai_complete_if_cache(
     )
     kwargs.pop("hashing_kv", None)
     kwargs.pop("keyword_extraction", None)
-    messages = []
+    messages: list[dict[str, Any]] = []
     if system_prompt:
         messages.append({"role": "system", "content": system_prompt})
     messages.extend(history_messages)
@@ -147,18 +147,18 @@ async def openai_complete_if_cache(
                 model=model, messages=messages, **kwargs
             )
     except APIConnectionError as e:
-        logger.error(f"OpenAI API Connection Error: {str(e)}")
+        logger.error(f"OpenAI API Connection Error: {e}")
         raise
     except RateLimitError as e:
-        logger.error(f"OpenAI API Rate Limit Error: {str(e)}")
+        logger.error(f"OpenAI API Rate Limit Error: {e}")
         raise
     except APITimeoutError as e:
-        logger.error(f"OpenAI API Timeout Error: {str(e)}")
+        logger.error(f"OpenAI API Timeout Error: {e}")
         raise
     except Exception as e:
-        logger.error(f"OpenAI API Call Failed: {str(e)}")
-        logger.error(f"Model: {model}")
-        logger.error(f"Request parameters: {kwargs}")
+        logger.error(
+            f"OpenAI API Call Failed,\nModel: {model},\nParams: {kwargs}, Got: {e}"
+        )
         raise
 
     if hasattr(response, "__aiter__"):