fix：更改文件夹结构

2025-04-22 17:02:14 +08:00
parent 157a46af68
commit 1482133005
15 changed files with 180 additions and 1262 deletions
--- a/src/plugins/heartFC_chat/reasoning_chat.py
+++ b/src/plugins/heartFC_chat/reasoning_chat.py
@@ -0,0 +1,425 @@
+import time
+import threading  # 导入 threading
+from random import random
+import traceback
+import asyncio
+from typing import List, Dict
+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.messagesender import message_manager
+from ...storage.storage import MessageStorage
+from ...chat.utils import is_mentioned_bot_in_message
+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 src.plugins.chat.chat_stream import ChatStream
+from src.plugins.person_info.relationship_manager import relationship_manager
+from src.plugins.respon_info_catcher.info_catcher import info_catcher_manager
+from src.plugins.utils.timer_calculater import Timer
+from src.heart_flow.heartflow import heartflow
+from .heartFC_controler import HeartFCController
+
+# 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:
+    _instance = None
+    _lock = threading.Lock()
+    _initialized = False
+
+    def __new__(cls, *args, **kwargs):
+        if cls._instance is None:
+            with cls._lock:
+                # Double-check locking
+                if cls._instance is None:
+                    cls._instance = super().__new__(cls)
+        return cls._instance
+
+    def __init__(self):
+        # 防止重复初始化
+        if self._initialized:
+            return
+        with self.__class__._lock:  # 使用类锁确保线程安全
+            if self._initialized:
+                return
+            logger.info("正在初始化 ReasoningChat 单例...")  # 添加日志
+            self.storage = MessageStorage()
+            self.gpt = ResponseGenerator()
+            self.mood_manager = MoodManager.get_instance()
+            # 用于存储每个 chat stream 的兴趣监控任务
+            self._interest_monitoring_tasks: Dict[str, asyncio.Task] = {}
+            self._initialized = True
+            logger.info("ReasoningChat 单例初始化完成。")  # 添加日志
+
+    @classmethod
+    def get_instance(cls):
+        """获取 ReasoningChat 的单例实例。"""
+        if cls._instance is None:
+            # 如果实例还未创建（理论上应该在 main 中初始化，但作为备用）
+            logger.warning("ReasoningChat 实例在首次 get_instance 时创建。")
+            cls()  # 调用构造函数来创建实例
+        return cls._instance
+
+    @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,
+            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)
+
+        return thinking_id
+
+    @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
+
+        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
+        first_bot_msg = None
+        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
+                first_bot_msg = bot_message
+            message_set.add_message(bot_message)
+        message_manager.add_message(message_set)
+
+        return first_bot_msg
+
+    @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)
+            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 _update_relationship(self, message: MessageRecv, response_set):
+        """更新关系情绪"""
+        ori_response = ",".join(response_set)
+        stance, emotion = await self.gpt._get_emotion_tags(ori_response, message.processed_plain_text)
+        await relationship_manager.calculate_update_relationship_value(
+            chat_stream=message.chat_stream, label=emotion, stance=stance
+        )
+        self.mood_manager.update_mood_from_emotion(emotion, global_config.mood_intensity_factor)
+
+    async def _find_interested_message(self, chat: ChatStream) -> None:
+        # 此函数设计为后台任务，轮询指定 chat 的兴趣消息。
+        # 它通常由外部代码在 chat 流活跃时启动。
+        controller = HeartFCController.get_instance()  # 获取控制器实例
+        stream_id = chat.stream_id  # 获取 stream_id
+
+        if not controller:
+            logger.error(f"无法获取 HeartFCController 实例，无法检查 PFChatting 状态。stream: {stream_id}")
+            # 在没有控制器的情况下可能需要决定是继续处理还是完全停止？这里暂时假设继续
+            pass  # 或者 return?
+
+        logger.info(f"[{stream_id}] 兴趣消息监控任务启动。")  # 增加启动日志
+        while True:
+            await asyncio.sleep(1)  # 每秒检查一次
+
+            # --- 修改：通过 heartflow 获取 subheartflow 和 interest_dict --- #
+            subheartflow = heartflow.get_subheartflow(stream_id)
+
+            # 检查 subheartflow 是否存在以及是否被标记停止
+            if not subheartflow or subheartflow.should_stop:
+                logger.info(f"[{stream_id}] SubHeartflow 不存在或已停止，兴趣消息监控任务退出。")
+                break  # 退出循环，任务结束
+
+            # 从 subheartflow 获取 interest_dict
+            interest_dict = subheartflow.get_interest_dict()
+            # --- 结束修改 --- #
+
+            # 创建 items 快照进行迭代，避免在迭代时修改字典
+            items_to_process = list(interest_dict.items())
+
+            if not items_to_process:
+                continue  # 没有需要处理的消息，继续等待
+
+            # logger.debug(f"[{stream_id}] 发现 {len(items_to_process)} 条待处理兴趣消息。") # 调试日志
+
+            for msg_id, (message, interest_value, is_mentioned) in items_to_process:
+                # --- 检查 PFChatting 是否活跃 --- #
+                pf_active = False
+                if controller:
+                    pf_active = controller.is_pf_chatting_active(stream_id)
+
+                if pf_active:
+                    # 如果 PFChatting 活跃，则跳过处理，直接移除消息
+                    removed_item = interest_dict.pop(msg_id, None)
+                    if removed_item:
+                        logger.debug(f"[{stream_id}] PFChatting 活跃，已跳过并移除兴趣消息 {msg_id}")
+                    continue  # 处理下一条消息
+                # --- 结束检查 --- #
+
+                # 只有当 PFChatting 不活跃时才执行以下处理逻辑
+                try:
+                    # logger.debug(f"[{stream_id}] 正在处理兴趣消息 {msg_id} (兴趣值: {interest_value:.2f})" )
+                    await self.normal_reasoning_chat(
+                        message=message,
+                        chat=chat,  # chat 对象仍然有效
+                        is_mentioned=is_mentioned,
+                        interested_rate=interest_value,  # 使用从字典获取的原始兴趣值
+                    )
+                    # logger.debug(f"[{stream_id}] 处理完成消息 {msg_id}")
+                except Exception as e:
+                    logger.error(f"[{stream_id}] 处理兴趣消息 {msg_id} 时出错: {e}\n{traceback.format_exc()}")
+                finally:
+                    # 无论处理成功与否（且PFChatting不活跃），都尝试从原始字典中移除该消息
+                    # 使用 pop(key, None) 避免 Key Error
+                    removed_item = interest_dict.pop(msg_id, None)
+                    if removed_item:
+                        logger.debug(f"[{stream_id}] 已从兴趣字典中移除消息 {msg_id}")
+
+    async def normal_reasoning_chat(
+        self, message: MessageRecv, chat: ChatStream, is_mentioned: bool, interested_rate: float
+    ) -> None:
+        timing_results = {}
+        userinfo = message.message_info.user_info
+        messageinfo = message.message_info
+
+        is_mentioned, reply_probability = is_mentioned_bot_in_message(message)
+        # 意愿管理器：设置当前message信息
+        willing_manager.setup(message, chat, is_mentioned, interested_rate)
+
+        # 获取回复概率
+        is_willing = False
+        if reply_probability != 1:
+            is_willing = True
+            reply_probability = await willing_manager.get_reply_probability(message.message_info.message_id)
+
+            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"]
+
+        # 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(message.message_info.time))
+        willing_log = f"[回复意愿:{await willing_manager.get_willing(chat.stream_id):.2f}]" if is_willing else ""
+        logger.info(
+            f"[{current_time}][{mes_name}]"
+            f"{chat.user_info.user_nickname}:"
+            f"{message.processed_plain_text}{willing_log}[概率:{reply_probability * 100:.1f}%]"
+        )
+        do_reply = False
+        if random() < reply_probability:
+            do_reply = True
+
+            # 回复前处理
+            await willing_manager.before_generate_reply_handle(message.message_info.message_id)
+
+            # 创建思考消息
+            with Timer("创建思考消息", timing_results):
+                thinking_id = await self._create_thinking_message(message, chat, userinfo, messageinfo)
+
+            logger.debug(f"创建捕捉器，thinking_id:{thinking_id}")
+
+            info_catcher = info_catcher_manager.get_info_catcher(thinking_id)
+            info_catcher.catch_decide_to_response(message)
+
+            # 生成回复
+            try:
+                with Timer("生成回复", timing_results):
+                    response_set = await self.gpt.generate_response(
+                        message=message,
+                        thinking_id=thinking_id,
+                    )
+
+                info_catcher.catch_after_generate_response(timing_results["生成回复"])
+            except Exception as e:
+                logger.error(f"回复生成出现错误：{str(e)} {traceback.format_exc()}")
+                response_set = None
+
+            if not response_set:
+                logger.info(f"[{chat.stream_id}] 模型未生成回复内容")
+                # 如果模型未生成回复，移除思考消息
+                container = message_manager.get_container(chat.stream_id)
+                # thinking_message = None
+                for msg in container.messages[:]:  # Iterate over a copy
+                    if isinstance(msg, MessageThinking) and msg.message_info.message_id == thinking_id:
+                        # thinking_message = msg
+                        container.messages.remove(msg)
+                        logger.debug(f"[{chat.stream_id}] 已移除未产生回复的思考消息 {thinking_id}")
+                        break
+                return  # 不发送回复
+
+            logger.info(f"[{chat.stream_id}] 回复内容: {response_set}")
+
+            # 发送回复
+            with Timer("消息发送", timing_results):
+                first_bot_msg = await self._send_response_messages(message, chat, response_set, thinking_id)
+
+            info_catcher.catch_after_response(timing_results["消息发送"], response_set, first_bot_msg)
+
+            info_catcher.done_catch()
+
+            # 处理表情包
+            with Timer("处理表情包", timing_results):
+                await self._handle_emoji(message, chat, response_set[0])
+
+            # 更新关系情绪
+            with Timer("关系更新", timing_results):
+                await self._update_relationship(message, response_set)
+
+            # 回复后处理
+            await willing_manager.after_generate_reply_handle(message.message_info.message_id)
+
+        # 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}")
+        else:
+            # 不回复处理
+            await willing_manager.not_reply_handle(message.message_info.message_id)
+
+        # 意愿管理器：注销当前message信息
+        willing_manager.delete(message.message_info.message_id)
+
+    @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:
+                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
+
+    @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):
+                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
+
+    async def start_monitoring_interest(self, chat: ChatStream):
+        """为指定的 ChatStream 启动兴趣消息监控任务（如果尚未运行）。"""
+        stream_id = chat.stream_id
+        if stream_id not in self._interest_monitoring_tasks or self._interest_monitoring_tasks[stream_id].done():
+            logger.info(f"为聊天流 {stream_id} 启动兴趣消息监控任务...")
+            # 创建新任务
+            task = asyncio.create_task(self._find_interested_message(chat))
+            # 添加完成回调
+            task.add_done_callback(lambda t: self._handle_task_completion(stream_id, t))
+            self._interest_monitoring_tasks[stream_id] = task
+        # else:
+        # logger.debug(f"聊天流 {stream_id} 的兴趣消息监控任务已在运行。")
+
+    def _handle_task_completion(self, stream_id: str, task: asyncio.Task):
+        """兴趣监控任务完成时的回调函数。"""
+        try:
+            # 检查任务是否因异常而结束
+            exception = task.exception()
+            if exception:
+                logger.error(f"聊天流 {stream_id} 的兴趣监控任务因异常结束: {exception}")
+                logger.error(traceback.format_exc())  # 记录完整的 traceback
+            else:
+                logger.info(f"聊天流 {stream_id} 的兴趣监控任务正常结束。")
+        except asyncio.CancelledError:
+            logger.info(f"聊天流 {stream_id} 的兴趣监控任务被取消。")
+        except Exception as e:
+            logger.error(f"处理聊天流 {stream_id} 任务完成回调时出错: {e}")
+        finally:
+            # 从字典中移除已完成或取消的任务
+            if stream_id in self._interest_monitoring_tasks:
+                del self._interest_monitoring_tasks[stream_id]
+                logger.debug(f"已从监控任务字典中移除 {stream_id}")
+
+    async def stop_monitoring_interest(self, stream_id: str):
+        """停止指定聊天流的兴趣监控任务。"""
+        if stream_id in self._interest_monitoring_tasks:
+            task = self._interest_monitoring_tasks[stream_id]
+            if task and not task.done():
+                task.cancel()  # 尝试取消任务
+                logger.info(f"尝试取消聊天流 {stream_id} 的兴趣监控任务。")
+                try:
+                    await task  # 等待任务响应取消
+                except asyncio.CancelledError:
+                    logger.info(f"聊天流 {stream_id} 的兴趣监控任务已成功取消。")
+                except Exception as e:
+                    logger.error(f"等待聊天流 {stream_id} 监控任务取消时出现异常: {e}")
+            # 在回调函数 _handle_task_completion 中移除任务
+        # else:
+        # logger.debug(f"聊天流 {stream_id} 没有正在运行的兴趣监控任务可停止。")