Merge branch 'dev' of https://github.com/Mai-with-u/MaiBot into dev

src/bw_learner/expression_reflector.py

@@ -28,7 +28,7 @@ class ExpressionReflector:
         try:
             logger.debug(f"[Expression Reflection] 开始检查是否需要提问 (stream_id: {self.chat_id})")
 
-            if not global_config.expression.expression_self_reflect:
+            if not global_config.expression.expression_manual_reflect:
                 logger.debug("[Expression Reflection] 表达反思功能未启用，跳过")
                 return False
 

src/chat/heart_flow/heartFC_chat.py

@@ -545,9 +545,9 @@ class HeartFChatting:
             new_message_count = message_api.count_new_messages(
                 chat_id=self.chat_stream.stream_id, start_time=self.last_read_time, end_time=time.time()
             )
-            need_reply = new_message_count >= random.randint(2, 3)
+            need_reply = new_message_count >= random.randint(2, 3) or time.time() - self.last_read_time > 90
             if need_reply:
-                logger.info(f"{self.log_prefix} 从思考到回复，共有{new_message_count}条新消息，使用引用回复")
+                logger.info(f"{self.log_prefix} 从思考到回复，共有{new_message_count}条新消息，使用引用回复，或者上次回复时间超过90秒")
 
         reply_text = ""
         first_replied = False

src/chat/message_receive/message.py

@@ -1,4 +1,5 @@
 import time
+import asyncio
 import urllib3
 
 from abc import abstractmethod
@@ -20,6 +21,9 @@ logger = get_logger("chat_message")
 # 禁用SSL警告
 urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
 
+# VLM 处理并发限制（避免同时处理太多图片导致卡死）
+_vlm_semaphore = asyncio.Semaphore(3)
+
 # 这个类是消息数据类，用于存储和管理消息数据。
 # 它定义了消息的属性，包括群组ID、用户ID、消息ID、原始消息内容、纯文本内容和时间戳。
 # 它还定义了两个辅助属性：keywords用于提取消息的关键词，is_plain_text用于判断消息是否为纯文本。
@@ -73,20 +77,35 @@ class Message(MessageBase):
             str: 处理后的文本
         """
         if segment.type == "seglist":
-            # 处理消息段列表
+            # 处理消息段列表 - 使用并行处理提升性能
+            tasks = [self._process_message_segments(seg) for seg in segment.data]  # type: ignore
+            results = await asyncio.gather(*tasks, return_exceptions=True)
             segments_text = []
-            for seg in segment.data:
+            for result in results:
-                processed = await self._process_message_segments(seg)  # type: ignore
+                if isinstance(result, Exception):
-                if processed:
+                    logger.error(f"处理消息段时出错: {result}")
-                    segments_text.append(processed)
+                    continue
+                if result:
+                    segments_text.append(result)
             return " ".join(segments_text)
         elif segment.type == "forward":
-            segments_text = []
+            # 处理转发消息 - 使用并行处理
-            for node_dict in segment.data:
+            async def process_forward_node(node_dict):
                 message = MessageBase.from_dict(node_dict)  # type: ignore
                 processed_text = await self._process_message_segments(message.message_segment)
                 if processed_text:
-                    segments_text.append(f"{global_config.bot.nickname}: {processed_text}")
+                    return f"{global_config.bot.nickname}: {processed_text}"
+                return None
+            
+            tasks = [process_forward_node(node_dict) for node_dict in segment.data]
+            results = await asyncio.gather(*tasks, return_exceptions=True)
+            segments_text = []
+            for result in results:
+                if isinstance(result, Exception):
+                    logger.error(f"处理转发节点时出错: {result}")
+                    continue
+                if result:
+                    segments_text.append(result)
             return "[合并消息]: " + "\n--  ".join(segments_text)
         else:
             # 处理单个消息段
@@ -173,8 +192,9 @@ class MessageRecv(Message):
                     self.is_picid = True
                     self.is_emoji = False
                     image_manager = get_image_manager()
-                    # print(f"segment.data: {segment.data}")
+                    # 使用 semaphore 限制 VLM 并发，避免同时处理太多图片
-                    _, processed_text = await image_manager.process_image(segment.data)
+                    async with _vlm_semaphore:
+                        _, processed_text = await image_manager.process_image(segment.data)
                     return processed_text
                 return "[发了一张图片，网卡了加载不出来]"
             elif segment.type == "emoji":
@@ -183,7 +203,9 @@ class MessageRecv(Message):
                 self.is_picid = False
                 self.is_voice = False
                 if isinstance(segment.data, str):
-                    return await get_image_manager().get_emoji_description(segment.data)
+                    # 使用 semaphore 限制 VLM 并发
+                    async with _vlm_semaphore:
+                        return await get_image_manager().get_emoji_description(segment.data)
                 return "[发了一个表情包，网卡了加载不出来]"
             elif segment.type == "voice":
                 self.is_picid = False

src/common/server.py

@@ -50,7 +50,15 @@ class Server:
     async def run(self):
         """启动服务器"""
         # 禁用 uvicorn 默认日志和访问日志
-        config = Config(app=self.app, host=self._host, port=self._port, log_config=None, access_log=False)
+        # 设置 ws_max_size 为 100MB，支持大消息（如包含多张图片的转发消息）
+        config = Config(
+            app=self.app,
+            host=self._host,
+            port=self._port,
+            log_config=None,
+            access_log=False,
+            ws_max_size=104_857_600,  # 100MB
+        )
         self._server = UvicornServer(config=config)
         try:
             await self._server.serve()

webui/dist/index.html

@@ -11,21 +11,21 @@
     <link rel="icon" type="image/x-icon" href="/maimai.ico" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
     <title>MaiBot Dashboard</title>
-    <script type="module" crossorigin src="/assets/index-DC6giT2e.js"></script>
+    <script type="module" crossorigin src="/assets/index-D90_5BXS.js"></script>
     <link rel="modulepreload" crossorigin href="/assets/react-vendor-BmxF9s7Q.js">
     <link rel="modulepreload" crossorigin href="/assets/router-9vIXuQkh.js">
     <link rel="modulepreload" crossorigin href="/assets/utils-BqoaXoQ1.js">
     <link rel="modulepreload" crossorigin href="/assets/radix-core-DyJi0yyw.js">
     <link rel="modulepreload" crossorigin href="/assets/radix-extra-DmmnfeQE.js">
     <link rel="modulepreload" crossorigin href="/assets/charts-simvewUa.js">
-    <link rel="modulepreload" crossorigin href="/assets/icons-9Z4kBNLK.js">
+    <link rel="modulepreload" crossorigin href="/assets/icons-CmIU8FzD.js">
     <link rel="modulepreload" crossorigin href="/assets/codemirror-TZqPU532.js">
     <link rel="modulepreload" crossorigin href="/assets/dnd-BiPfFtVp.js">
     <link rel="modulepreload" crossorigin href="/assets/misc-CJqnlRwD.js">
     <link rel="modulepreload" crossorigin href="/assets/reactflow-DtsZHOR4.js">
     <link rel="modulepreload" crossorigin href="/assets/uppy-DFP_VzYR.js">
     <link rel="modulepreload" crossorigin href="/assets/markdown-CKA5gBQ9.js">
-    <link rel="stylesheet" crossorigin href="/assets/index-DseBW7cm.css">
+    <link rel="stylesheet" crossorigin href="/assets/index-B50WYNXg.css">
   </head>
   <body>
     <div id="root" class="notranslate"></div>