feat：移除willing_amlifier，简化活跃度配置

src/chat/chat_loop/heartFC_chat.py

@@ -700,7 +700,7 @@ class HeartFChatting:
         在"兴趣"模式下，判断是否回复并生成内容。
         """
 
-        interested_rate = (message_data.get("interest_value") or 0.0) * global_config.chat.willing_amplifier
+        interested_rate = message_data.get("interest_value") or 0.0
 
         self.willing_manager.setup(message_data, self.chat_stream)
 

src/chat/express/expression_selector.py

@@ -261,9 +261,9 @@ class ExpressionSelector:
         # 4. 调用LLM
         try:
             
-            start_time = time.time()
+            # start_time = time.time()
             content, (reasoning_content, model_name, _) = await self.llm_model.generate_response_async(prompt=prompt)
-            logger.info(f"LLM请求时间: {model_name}  {time.time() - start_time} \n{prompt}")
+            # logger.info(f"LLM请求时间: {model_name}  {time.time() - start_time} \n{prompt}")
 
             # logger.info(f"模型名称: {model_name}")
             # logger.info(f"LLM返回结果: {content}")

src/chat/willing/mode_classical.py

@@ -21,7 +21,6 @@ class ClassicalWillingManager(BaseWillingManager):
             self._decay_task = asyncio.create_task(self._decay_reply_willing())
 
     async def get_reply_probability(self, message_id):
-        # sourcery skip: inline-immediately-returned-variable
         willing_info = self.ongoing_messages[message_id]
         chat_id = willing_info.chat_id
         current_willing = self.chat_reply_willing.get(chat_id, 0)
@@ -32,8 +31,7 @@ class ClassicalWillingManager(BaseWillingManager):
         
         # print(f"[{chat_id}] 兴趣值: {interested_rate}")
 
-        if interested_rate > 0.2:
-            current_willing += interested_rate - 0.2
+        current_willing += interested_rate
 
         if willing_info.is_mentioned_bot and global_config.chat.mentioned_bot_inevitable_reply and current_willing < 2:
             current_willing += 1 if current_willing < 1.0 else 0.2