refactor: 将多个方法修改为静态方法以提高代码可读性和一致性

src/plugins/chat_module/only_process/only_message_process.py

@@ -13,7 +13,8 @@ class MessageProcessor:
     def __init__(self):
         self.storage = MessageStorage()
 
-    def _check_ban_words(self, text: str, chat, userinfo) -> bool:
+    @staticmethod
+    def _check_ban_words(text: str, chat, userinfo) -> bool:
         """检查消息中是否包含过滤词"""
         for word in global_config.ban_words:
             if word in text:
@@ -24,7 +25,8 @@ class MessageProcessor:
                 return True
         return False
 
-    def _check_ban_regex(self, text: str, chat, userinfo) -> bool:
+    @staticmethod
+    def _check_ban_regex(text: str, chat, userinfo) -> bool:
         """检查消息是否匹配过滤正则表达式"""
         for pattern in global_config.ban_msgs_regex:
             if pattern.search(text):

src/plugins/chat_module/reasoning_chat/reasoning_chat.py

@@ -37,7 +37,8 @@ class ReasoningChat:
         self.mood_manager = MoodManager.get_instance()
         self.mood_manager.start_mood_update()
 
-    async def _create_thinking_message(self, message, chat, userinfo, messageinfo):
+    @staticmethod
+    async def _create_thinking_message(message, chat, userinfo, messageinfo):
         """创建思考消息"""
         bot_user_info = UserInfo(
             user_id=global_config.BOT_QQ,
@@ -59,7 +60,8 @@ class ReasoningChat:
 
         return thinking_id
 
-    async def _send_response_messages(self, message, chat, response_set: List[str], thinking_id) -> MessageSending:
+    @staticmethod
+    async def _send_response_messages(message, chat, response_set: List[str], thinking_id) -> MessageSending:
         """发送回复消息"""
         container = message_manager.get_container(chat.stream_id)
         thinking_message = None
@@ -104,7 +106,8 @@ class ReasoningChat:
 
         return first_bot_msg
 
-    async def _handle_emoji(self, message, chat, response):
+    @staticmethod
+    async def _handle_emoji(message, chat, response):
         """处理表情包"""
         if random() < global_config.emoji_chance:
             emoji_raw = await emoji_manager.get_emoji_for_text(response)
@@ -291,7 +294,8 @@ class ReasoningChat:
         # 意愿管理器：注销当前message信息
         willing_manager.delete(message.message_info.message_id)
 
-    def _check_ban_words(self, text: str, chat, userinfo) -> bool:
+    @staticmethod
+    def _check_ban_words(text: str, chat, userinfo) -> bool:
         """检查消息中是否包含过滤词"""
         for word in global_config.ban_words:
             if word in text:
@@ -302,7 +306,8 @@ class ReasoningChat:
                 return True
         return False
 
-    def _check_ban_regex(self, text: str, chat, userinfo) -> bool:
+    @staticmethod
+    def _check_ban_regex(text: str, chat, userinfo) -> bool:
         """检查消息是否匹配过滤正则表达式"""
         for pattern in global_config.ban_msgs_regex:
             if pattern.search(text):

src/plugins/chat_module/reasoning_chat/reasoning_generator.py

@@ -188,7 +188,8 @@ class ResponseGenerator:
             logger.debug(f"获取情感标签时出错: {e}")
             return "中立", "平静"  # 出错时返回默认值
 
-    async def _process_response(self, content: str) -> Tuple[List[str], List[str]]:
+    @staticmethod
+    async def _process_response(content: str) -> Tuple[List[str], List[str]]:
         """处理响应内容，返回处理后的内容和情感标签"""
         if not content:
             return None, []

src/plugins/chat_module/reasoning_chat/reasoning_prompt_builder.py

@@ -373,8 +373,9 @@ class PromptBuilder:
         logger.info(f"知识库检索总耗时: {time.time() - start_time:.3f}秒")
         return related_info
 
+    @staticmethod
     def get_info_from_db(
-        self, query_embedding: list, limit: int = 1, threshold: float = 0.5, return_raw: bool = False
+            query_embedding: list, limit: int = 1, threshold: float = 0.5, return_raw: bool = False
     ) -> Union[str, list]:
         if not query_embedding:
             return "" if not return_raw else []

src/plugins/chat_module/think_flow_chat/think_flow_chat.py

@@ -40,7 +40,8 @@ class ThinkFlowChat:
         self.mood_manager.start_mood_update()
         self.tool_user = ToolUser()
 
-    async def _create_thinking_message(self, message, chat, userinfo, messageinfo):
+    @staticmethod
+    async def _create_thinking_message(message, chat, userinfo, messageinfo):
         """创建思考消息"""
         bot_user_info = UserInfo(
             user_id=global_config.BOT_QQ,
@@ -62,7 +63,8 @@ class ThinkFlowChat:
 
         return thinking_id
 
-    async def _send_response_messages(self, message, chat, response_set: List[str], thinking_id) -> MessageSending:
+    @staticmethod
+    async def _send_response_messages(message, chat, response_set: List[str], thinking_id) -> MessageSending:
         """发送回复消息"""
         container = message_manager.get_container(chat.stream_id)
         thinking_message = None
@@ -108,7 +110,8 @@ class ThinkFlowChat:
         message_manager.add_message(message_set)
         return first_bot_msg
 
-    async def _handle_emoji(self, message, chat, response, send_emoji=""):
+    @staticmethod
+    async def _handle_emoji(message, chat, response, send_emoji=""):
         """处理表情包"""
         if send_emoji:
             emoji_raw = await emoji_manager.get_emoji_for_text(send_emoji)
@@ -457,7 +460,8 @@ class ThinkFlowChat:
         # 意愿管理器：注销当前message信息
         willing_manager.delete(message.message_info.message_id)
 
-    def _check_ban_words(self, text: str, chat, userinfo) -> bool:
+    @staticmethod
+    def _check_ban_words(text: str, chat, userinfo) -> bool:
         """检查消息中是否包含过滤词"""
         for word in global_config.ban_words:
             if word in text:
@@ -468,7 +472,8 @@ class ThinkFlowChat:
                 return True
         return False
 
-    def _check_ban_regex(self, text: str, chat, userinfo) -> bool:
+    @staticmethod
+    def _check_ban_regex(text: str, chat, userinfo) -> bool:
         """检查消息是否匹配过滤正则表达式"""
         for pattern in global_config.ban_msgs_regex:
             if pattern.search(text):

src/plugins/chat_module/think_flow_chat/think_flow_generator.py

@@ -236,7 +236,8 @@ class ResponseGenerator:
             logger.debug(f"获取情感标签时出错: {e}")
             return "中立", "平静"  # 出错时返回默认值
 
-    async def _process_response(self, content: str) -> List[str]:
+    @staticmethod
+    async def _process_response(content: str) -> List[str]:
         """处理响应内容，返回处理后的内容和情感标签"""
         if not content:
             return None

src/plugins/chat_module/think_flow_chat/think_flow_prompt_builder.py

@@ -64,8 +64,9 @@ class PromptBuilder:
         self.prompt_built = ""
         self.activate_messages = ""
 
+    @staticmethod
     async def _build_prompt(
-        self, chat_stream, message_txt: str, sender_name: str = "某人", stream_id: Optional[int] = None
+            chat_stream, message_txt: str, sender_name: str = "某人", stream_id: Optional[int] = None
     ) -> tuple[str, str]:
         current_mind_info = heartflow.get_subheartflow(stream_id).current_mind
 
@@ -168,8 +169,9 @@ class PromptBuilder:
 
         return prompt
 
+    @staticmethod
     async def _build_prompt_simple(
-        self, chat_stream, message_txt: str, sender_name: str = "某人", stream_id: Optional[int] = None
+            chat_stream, message_txt: str, sender_name: str = "某人", stream_id: Optional[int] = None
     ) -> tuple[str, str]:
         current_mind_info = heartflow.get_subheartflow(stream_id).current_mind
 
@@ -237,9 +239,9 @@ class PromptBuilder:
         logger.info(f"生成回复的prompt: {prompt}")
         return prompt
 
+    @staticmethod
     async def _build_prompt_check_response(
-        self,
-        chat_stream,
+            chat_stream,
         message_txt: str,
         sender_name: str = "某人",
         stream_id: Optional[int] = None,