feat：现支持两种独立的回复模式，推理模型和心流

src/plugins/chat_module/reasoning_chat/reasoning_chat.py

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+import time
+from random import random
+import re
+
+from ...memory_system.Hippocampus import HippocampusManager
+from ...moods.moods import MoodManager
+from ...config.config import global_config
+from ...chat.emoji_manager import emoji_manager
+from .reasoning_generator import ResponseGenerator
+from ...chat.message import MessageSending, MessageRecv, MessageThinking, MessageSet
+from ...chat.message_sender import message_manager
+from ...relationship.relationship_manager import relationship_manager
+from ...storage.storage import MessageStorage
+from ...chat.utils import is_mentioned_bot_in_message, get_recent_group_detailed_plain_text
+from ...chat.utils_image import image_path_to_base64
+from ...willing.willing_manager import willing_manager
+from ...message import UserInfo, Seg
+from src.common.logger import get_module_logger, CHAT_STYLE_CONFIG, LogConfig
+from ...chat.chat_stream import chat_manager
+
+# 定义日志配置
+chat_config = LogConfig(
+    console_format=CHAT_STYLE_CONFIG["console_format"],
+    file_format=CHAT_STYLE_CONFIG["file_format"],
+)
+
+logger = get_module_logger("reasoning_chat", config=chat_config)
+
+class ReasoningChat:
+    def __init__(self):
+        self.storage = MessageStorage()
+        self.gpt = ResponseGenerator()
+        self.mood_manager = MoodManager.get_instance()
+        self.mood_manager.start_mood_update()
+
+    async def _create_thinking_message(self, message, chat, userinfo, messageinfo):
+        """创建思考消息"""
+        bot_user_info = UserInfo(
+            user_id=global_config.BOT_QQ,
+            user_nickname=global_config.BOT_NICKNAME,
+            platform=messageinfo.platform,
+        )
+
+        thinking_time_point = round(time.time(), 2)
+        thinking_id = "mt" + str(thinking_time_point)
+        thinking_message = MessageThinking(
+            message_id=thinking_id,
+            chat_stream=chat,
+            bot_user_info=bot_user_info,
+            reply=message,
+            thinking_start_time=thinking_time_point,
+        )
+
+        message_manager.add_message(thinking_message)
+        willing_manager.change_reply_willing_sent(chat)
+
+        return thinking_id
+
+    async def _send_response_messages(self, message, chat, response_set, thinking_id):
+        """发送回复消息"""
+        container = message_manager.get_container(chat.stream_id)
+        thinking_message = None
+
+        for msg in container.messages:
+            if isinstance(msg, MessageThinking) and msg.message_info.message_id == thinking_id:
+                thinking_message = msg
+                container.messages.remove(msg)
+                break
+
+        if not thinking_message:
+            logger.warning("未找到对应的思考消息，可能已超时被移除")
+            return
+
+        thinking_start_time = thinking_message.thinking_start_time
+        message_set = MessageSet(chat, thinking_id)
+
+        mark_head = False
+        for msg in response_set:
+            message_segment = Seg(type="text", data=msg)
+            bot_message = MessageSending(
+                message_id=thinking_id,
+                chat_stream=chat,
+                bot_user_info=UserInfo(
+                    user_id=global_config.BOT_QQ,
+                    user_nickname=global_config.BOT_NICKNAME,
+                    platform=message.message_info.platform,
+                ),
+                sender_info=message.message_info.user_info,
+                message_segment=message_segment,
+                reply=message,
+                is_head=not mark_head,
+                is_emoji=False,
+                thinking_start_time=thinking_start_time,
+            )
+            if not mark_head:
+                mark_head = True
+            message_set.add_message(bot_message)
+        message_manager.add_message(message_set)
+
+    async def _handle_emoji(self, message, chat, response):
+        """处理表情包"""
+        if random() < global_config.emoji_chance:
+            emoji_raw = await emoji_manager.get_emoji_for_text(response)
+            if emoji_raw:
+                emoji_path, description = emoji_raw
+                emoji_cq = image_path_to_base64(emoji_path)
+
+                thinking_time_point = round(message.message_info.time, 2)
+
+                message_segment = Seg(type="emoji", data=emoji_cq)
+                bot_message = MessageSending(
+                    message_id="mt" + str(thinking_time_point),
+                    chat_stream=chat,
+                    bot_user_info=UserInfo(
+                        user_id=global_config.BOT_QQ,
+                        user_nickname=global_config.BOT_NICKNAME,
+                        platform=message.message_info.platform,
+                    ),
+                    sender_info=message.message_info.user_info,
+                    message_segment=message_segment,
+                    reply=message,
+                    is_head=False,
+                    is_emoji=True,
+                )
+                message_manager.add_message(bot_message)
+
+    async def process_message(self, message_data: str) -> None:
+        """处理消息并生成回复"""
+        timing_results = {}
+        response_set = None
+
+        message = MessageRecv(message_data)
+        groupinfo = message.message_info.group_info
+        userinfo = message.message_info.user_info
+        messageinfo = message.message_info
+
+        
+        if groupinfo.group_id not in global_config.talk_allowed_groups:
+            return
+
+        # logger.info("使用推理聊天模式")
+
+        # 创建聊天流
+        chat = await chat_manager.get_or_create_stream(
+            platform=messageinfo.platform,
+            user_info=userinfo,
+            group_info=groupinfo,
+        )
+        message.update_chat_stream(chat)
+
+        await message.process()
+
+        # 过滤词/正则表达式过滤
+        if self._check_ban_words(message.processed_plain_text, chat, userinfo) or self._check_ban_regex(
+            message.raw_message, chat, userinfo
+        ):
+            return
+
+        await self.storage.store_message(message, chat)
+
+        # 记忆激活
+        timer1 = time.time()
+        interested_rate = await HippocampusManager.get_instance().get_activate_from_text(
+            message.processed_plain_text, fast_retrieval=True
+        )
+        timer2 = time.time()
+        timing_results["记忆激活"] = timer2 - timer1
+
+        is_mentioned = is_mentioned_bot_in_message(message)
+
+        # 计算回复意愿
+        current_willing = willing_manager.get_willing(chat_stream=chat)
+        willing_manager.set_willing(chat.stream_id, current_willing)
+
+        # 意愿激活
+        timer1 = time.time()
+        reply_probability = await willing_manager.change_reply_willing_received(
+            chat_stream=chat,
+            is_mentioned_bot=is_mentioned,
+            config=global_config,
+            is_emoji=message.is_emoji,
+            interested_rate=interested_rate,
+            sender_id=str(message.message_info.user_info.user_id),
+        )
+        timer2 = time.time()
+        timing_results["意愿激活"] = timer2 - timer1
+
+        # 打印消息信息
+        mes_name = chat.group_info.group_name if chat.group_info else "私聊"
+        current_time = time.strftime("%H:%M:%S", time.localtime(messageinfo.time))
+        logger.info(
+            f"[{current_time}][{mes_name}]"
+            f"{chat.user_info.user_nickname}:"
+            f"{message.processed_plain_text}[回复意愿:{current_willing:.2f}][概率:{reply_probability * 100:.1f}%]"
+        )
+
+        if message.message_info.additional_config:
+            if "maimcore_reply_probability_gain" in message.message_info.additional_config.keys():
+                reply_probability += message.message_info.additional_config["maimcore_reply_probability_gain"]
+
+        do_reply = False
+        if random() < reply_probability:
+            do_reply = True
+            
+            # 创建思考消息
+            timer1 = time.time()
+            thinking_id = await self._create_thinking_message(message, chat, userinfo, messageinfo)
+            timer2 = time.time()
+            timing_results["创建思考消息"] = timer2 - timer1
+            
+            # 生成回复
+            timer1 = time.time()
+            response_set = await self.gpt.generate_response(message)
+            timer2 = time.time()
+            timing_results["生成回复"] = timer2 - timer1
+
+            if not response_set:
+                logger.info("为什么生成回复失败？")
+                return
+
+            # 发送消息
+            timer1 = time.time()
+            await self._send_response_messages(message, chat, response_set, thinking_id)
+            timer2 = time.time()
+            timing_results["发送消息"] = timer2 - timer1
+
+            # 处理表情包
+            timer1 = time.time()
+            await self._handle_emoji(message, chat, response_set)
+            timer2 = time.time()
+            timing_results["处理表情包"] = timer2 - timer1
+
+        # 输出性能计时结果
+        if do_reply:
+            timing_str = " | ".join([f"{step}: {duration:.2f}秒" for step, duration in timing_results.items()])
+            trigger_msg = message.processed_plain_text
+            response_msg = " ".join(response_set) if response_set else "无回复"
+            logger.info(f"触发消息: {trigger_msg[:20]}... | 推理消息: {response_msg[:20]}... | 性能计时: {timing_str}")
+
+    def _check_ban_words(self, 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:
+                logger.info(
+                    f"[{chat.group_info.group_name if chat.group_info else '私聊'}]{userinfo.user_nickname}:{text}"
+                )
+                logger.info(f"[过滤词识别]消息中含有{word}，filtered")
+                return True
+        return False
+
+    def _check_ban_regex(self, 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 re.search(pattern, text):
+                logger.info(
+                    f"[{chat.group_info.group_name if chat.group_info else '私聊'}]{userinfo.user_nickname}:{text}"
+                )
+                logger.info(f"[正则表达式过滤]消息匹配到{pattern}，filtered")
+                return True
+        return False