紧急修复

--修复因流式音频结束标记提前而导致的麦克风风不释放问题；
--使用更短的文本切割。

core/fay_core.py

@@ -322,7 +322,9 @@ class FeiFei:
                 if is_end and wsa_server.get_web_instance().is_connected(interact.data.get('user')):
                     wsa_server.get_web_instance().add_cmd({"panelMsg": "", 'Username' : interact.data.get('user'), 'robot': f'{cfg.fay_url}/robot/Normal.jpg'})
 
-            if result is not None or is_first or is_end:          
+            if result is not None or is_first or is_end:
+                if is_end:#如果结束标记，则延迟1秒处理,免得is end比前面的音频tts要快
+                    time.sleep(1)          
                 MyThread(target=self.__process_output_audio, args=[result, interact, text]).start()
                 return result         
                 
@@ -375,8 +377,9 @@ class FeiFei:
                     is_first = True
                 if interact.data.get('isend'):
                     is_end = True
-                util.printInfo(1, interact.data.get('user'), '播放音频...')
-                self.speaking = True
+                if file_url is not None:
+                    util.printInfo(1, interact.data.get('user'), '播放音频...')
+                    self.speaking = True
 
                 #自动播报关闭
                 global auto_play_lock
@@ -394,11 +397,11 @@ class FeiFei:
                     pygame.mixer.music.load(file_url)
                     pygame.mixer.music.play()
 
-                # 播放过程中计时，直到音频播放完毕
-                length = 0
-                while length < audio_length:
-                    length += 0.01
-                    time.sleep(0.01)
+                    # 播放过程中计时，直到音频播放完毕
+                    length = 0
+                    while length < audio_length:
+                        length += 0.01
+                        time.sleep(0.01)
                 
                 if is_end:
                     self.play_end(interact)

llm/nlp_cognitive_stream.py

@@ -108,7 +108,7 @@ def init_memory_scheduler():
     schedule.every().day.at("00:00").do(save_agent_memory)
     
     # 设置每天晚上11点执行反思
-    schedule.every().day.at("09:41").do(perform_daily_reflection)
+    schedule.every().day.at("23:00").do(perform_daily_reflection)
     
     # 启动定时任务线程
     scheduler_thread = MyThread(target=memory_scheduler_thread)
@@ -309,7 +309,7 @@ def question(content, username, observation=None):
     current_username = username  # 记录当前会话用户名
     full_response_text = ""
     accumulated_text = ""
-    punctuation_marks = ["。", "！", "？", ".", "!", "?", "\n"]  
+    punctuation_marks = [",", "，","。", "！", "？", ".", "!", "?", "\n"]  
     is_first_sentence = True
     
     # 创建代理
@@ -385,7 +385,7 @@ def question(content, username, observation=None):
 {observation}
 """
     # 构建消息列表
-    messages = [SystemMessage(content=system_prompt), HumanMessage(content=content + "/no_think")]
+    messages = [SystemMessage(content=system_prompt), HumanMessage(content=content)]
     # 1. 获取mcp工具
     mcp_tools = get_mcp_tools()
     # 2. 存在mcp工具，走react agent