Ruff fix

src/person_info/person_info.py

@@ -162,7 +162,12 @@ def levenshtein_distance(s1: str, s2: str) -> int:
 class Person:
     @classmethod
     def register_person(
-        cls, platform: str, user_id: str, nickname: str, group_id: Optional[str] = None, group_nick_name: Optional[str] = None
+        cls,
+        platform: str,
+        user_id: str,
+        nickname: str,
+        group_id: Optional[str] = None,
+        group_nick_name: Optional[str] = None,
     ):
         """
         注册新用户的类方法
@@ -727,7 +732,7 @@ person_info_manager = PersonInfoManager()
 
 async def store_person_memory_from_answer(person_name: str, memory_content: str, chat_id: str) -> None:
     """将人物信息存入person_info的memory_points
-    
+
     Args:
         person_name: 人物名称
         memory_content: 记忆内容
@@ -739,13 +744,13 @@ async def store_person_memory_from_answer(person_name: str, memory_content: str,
         if not chat_stream:
             logger.warning(f"无法获取chat_stream for chat_id: {chat_id}")
             return
-        
+
         platform = chat_stream.platform
-        
+
         # 尝试从person_name查找person_id
         # 首先尝试通过person_name查找
         person_id = get_person_id_by_person_name(person_name)
-        
+
         if not person_id:
             # 如果通过person_name找不到，尝试从chat_stream获取user_info
             if chat_stream.user_info:
@@ -754,25 +759,25 @@ async def store_person_memory_from_answer(person_name: str, memory_content: str,
             else:
                 logger.warning(f"无法确定person_id for person_name: {person_name}, chat_id: {chat_id}")
                 return
-        
+
         # 创建或获取Person对象
         person = Person(person_id=person_id)
-        
+
         if not person.is_known:
             logger.warning(f"用户 {person_name} (person_id: {person_id}) 尚未认识，无法存储记忆")
             return
-        
+
         # 确定记忆分类（可以根据memory_content判断，这里使用通用分类）
         category = "其他"  # 默认分类，可以根据需要调整
-        
+
         # 记忆点格式：category:content:weight
         weight = "1.0"  # 默认权重
         memory_point = f"{category}:{memory_content}:{weight}"
-        
+
         # 添加到memory_points
         if not person.memory_points:
             person.memory_points = []
-        
+
         # 检查是否已存在相似的记忆点（避免重复）
         is_duplicate = False
         for existing_point in person.memory_points:
@@ -781,16 +786,20 @@ async def store_person_memory_from_answer(person_name: str, memory_content: str,
                 if len(parts) >= 2:
                     existing_content = parts[1].strip()
                     # 简单相似度检查（如果内容相同或非常相似，则跳过）
-                    if existing_content == memory_content or memory_content in existing_content or existing_content in memory_content:
+                    if (
+                        existing_content == memory_content
+                        or memory_content in existing_content
+                        or existing_content in memory_content
+                    ):
                         is_duplicate = True
                         break
-        
+
         if not is_duplicate:
             person.memory_points.append(memory_point)
             person.sync_to_database()
             logger.info(f"成功添加记忆点到 {person_name} (person_id: {person_id}): {memory_point}")
         else:
             logger.debug(f"记忆点已存在，跳过: {memory_point}")
-    
+
     except Exception as e:
         logger.error(f"存储人物记忆失败: {e}")