import time from abc import abstractmethod from dataclasses import dataclass from typing import Optional, Any import urllib3 from src.common.logger_manager import get_logger from .chat_stream import ChatStream from .utils_image import image_manager from maim_message import Seg, UserInfo, BaseMessageInfo, MessageBase logger = get_logger("chat_message") # 禁用SSL警告 urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning) # 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。 @dataclass class Message(MessageBase): chat_stream: ChatStream = None reply: Optional["Message"] = None detailed_plain_text: str = "" processed_plain_text: str = "" memorized_times: int = 0 def __init__( self, message_id: str, timestamp: float, chat_stream: ChatStream, user_info: UserInfo, message_segment: Optional[Seg] = None, reply: Optional["MessageRecv"] = None, detailed_plain_text: str = "", processed_plain_text: str = "", ): # 构造基础消息信息 message_info = BaseMessageInfo( platform=chat_stream.platform, message_id=message_id, time=timestamp, group_info=chat_stream.group_info, user_info=user_info, ) # 调用父类初始化 super().__init__(message_info=message_info, message_segment=message_segment, raw_message=None) self.chat_stream = chat_stream # 文本处理相关属性 self.processed_plain_text = processed_plain_text self.detailed_plain_text = detailed_plain_text # 回复消息 self.reply = reply async def _process_message_segments(self, segment: Seg) -> str: """递归处理消息段，转换为文字描述 Args: segment: 要处理的消息段 Returns: str: 处理后的文本 """ if segment.type == "seglist": # 处理消息段列表 segments_text = [] for seg in segment.data: processed = await self._process_message_segments(seg) if processed: segments_text.append(processed) return " ".join(segments_text) else: # 处理单个消息段 return await self._process_single_segment(segment) @abstractmethod async def _process_single_segment(self, segment): pass @dataclass class MessageRecv(Message): """接收消息类，用于处理从MessageCQ序列化的消息""" def __init__(self, message_dict: dict[str, Any]): """从MessageCQ的字典初始化 Args: message_dict: MessageCQ序列化后的字典 """ self.message_info = BaseMessageInfo.from_dict(message_dict.get("message_info", {})) self.message_segment = Seg.from_dict(message_dict.get("message_segment", {})) self.raw_message = message_dict.get("raw_message") # 处理消息内容 self.processed_plain_text = "" # 初始化为空字符串 self.detailed_plain_text = "" # 初始化为空字符串 self.is_emoji = False def update_chat_stream(self, chat_stream: ChatStream): self.chat_stream = chat_stream async def process(self) -> None: """处理消息内容，生成纯文本和详细文本 这个方法必须在创建实例后显式调用，因为它包含异步操作。 """ self.processed_plain_text = await self._process_message_segments(self.message_segment) self.detailed_plain_text = self._generate_detailed_text() async def _process_single_segment(self, seg: Seg) -> str: """处理单个消息段 Args: seg: 要处理的消息段 Returns: str: 处理后的文本 """ try: if seg.type == "text": return seg.data elif seg.type == "image": # 如果是base64图片数据 if isinstance(seg.data, str): return await image_manager.get_image_description(seg.data) return "[发了一张图片，网卡了加载不出来]" elif seg.type == "emoji": self.is_emoji = True if isinstance(seg.data, str): return await image_manager.get_emoji_description(seg.data) return "[发了一个表情包，网卡了加载不出来]" else: return f"[{seg.type}:{str(seg.data)}]" except Exception as e: logger.error(f"处理消息段失败: {str(e)}, 类型: {seg.type}, 数据: {seg.data}") return f"[处理失败的{seg.type}消息]" def _generate_detailed_text(self) -> str: """生成详细文本，包含时间和用户信息""" timestamp = self.message_info.time user_info = self.message_info.user_info name = f"<{self.message_info.platform}:{user_info.user_id}:{user_info.user_nickname}:{user_info.user_cardname}>" return f"[{timestamp}] {name}: {self.processed_plain_text}\n" @dataclass class MessageProcessBase(Message): """消息处理基类，用于处理中和发送中的消息""" def __init__( self, message_id: str, chat_stream: ChatStream, bot_user_info: UserInfo, message_segment: Optional[Seg] = None, reply: Optional["MessageRecv"] = None, thinking_start_time: float = 0, ): # 调用父类初始化 super().__init__( message_id=message_id, timestamp=round(time.time(), 3), # 保留3位小数 chat_stream=chat_stream, user_info=bot_user_info, message_segment=message_segment, reply=reply, ) # 处理状态相关属性 self.thinking_start_time = thinking_start_time self.thinking_time = 0 def update_thinking_time(self) -> float: """更新思考时间""" self.thinking_time = round(time.time() - self.thinking_start_time, 2) return self.thinking_time async def _process_single_segment(self, seg: Seg) -> str | None: """处理单个消息段 Args: seg: 要处理的消息段 Returns: str: 处理后的文本 """ try: if seg.type == "text": return seg.data elif seg.type == "image": # 如果是base64图片数据 if isinstance(seg.data, str): return await image_manager.get_image_description(seg.data) return "[图片，网卡了加载不出来]" elif seg.type == "emoji": if isinstance(seg.data, str): return await image_manager.get_emoji_description(seg.data) return "[表情，网卡了加载不出来]" elif seg.type == "at": return f"[@{seg.data}]" elif seg.type == "reply": if self.reply and hasattr(self.reply, "processed_plain_text"): return f"[回复：{self.reply.processed_plain_text}]" return None else: return f"[{seg.type}:{str(seg.data)}]" except Exception as e: logger.error(f"处理消息段失败: {str(e)}, 类型: {seg.type}, 数据: {seg.data}") return f"[处理失败的{seg.type}消息]" def _generate_detailed_text(self) -> str: """生成详细文本，包含时间和用户信息""" # time_str = time.strftime("%m-%d %H:%M:%S", time.localtime(self.message_info.time)) timestamp = self.message_info.time user_info = self.message_info.user_info name = f"<{self.message_info.platform}:{user_info.user_id}:{user_info.user_nickname}:{user_info.user_cardname}>" return f"[{timestamp}]，{name} 说：{self.processed_plain_text}\n" @dataclass class MessageThinking(MessageProcessBase): """思考状态的消息类""" def __init__( self, message_id: str, chat_stream: ChatStream, bot_user_info: UserInfo, reply: Optional["MessageRecv"] = None, thinking_start_time: float = 0, ): # 调用父类初始化 super().__init__( message_id=message_id, chat_stream=chat_stream, bot_user_info=bot_user_info, message_segment=None, # 思考状态不需要消息段 reply=reply, thinking_start_time=thinking_start_time, ) # 思考状态特有属性 self.interrupt = False @dataclass class MessageSending(MessageProcessBase): """发送状态的消息类""" def __init__( self, message_id: str, chat_stream: ChatStream, bot_user_info: UserInfo, sender_info: UserInfo | None, # 用来记录发送者信息,用于私聊回复 message_segment: Seg, reply: Optional["MessageRecv"] = None, is_head: bool = False, is_emoji: bool = False, thinking_start_time: float = 0, apply_set_reply_logic: bool = False, ): # 调用父类初始化 super().__init__( message_id=message_id, chat_stream=chat_stream, bot_user_info=bot_user_info, message_segment=message_segment, reply=reply, thinking_start_time=thinking_start_time, ) # 发送状态特有属性 self.sender_info = sender_info self.reply_to_message_id = reply.message_info.message_id if reply else None self.is_head = is_head self.is_emoji = is_emoji self.apply_set_reply_logic = apply_set_reply_logic def set_reply(self, reply: Optional["MessageRecv"] = None): """设置回复消息""" if self.message_info.format_info is not None and "reply" in self.message_info.format_info.accept_format: if reply: self.reply = reply if self.reply: self.reply_to_message_id = self.reply.message_info.message_id self.message_segment = Seg( type="seglist", data=[ Seg(type="reply", data=self.reply.message_info.message_id), self.message_segment, ], ) async def process(self) -> None: """处理消息内容，生成纯文本和详细文本""" if self.message_segment: self.processed_plain_text = await self._process_message_segments(self.message_segment) self.detailed_plain_text = self._generate_detailed_text() @classmethod def from_thinking( cls, thinking: MessageThinking, message_segment: Seg, is_head: bool = False, is_emoji: bool = False, ) -> "MessageSending": """从思考状态消息创建发送状态消息""" return cls( message_id=thinking.message_info.message_id, chat_stream=thinking.chat_stream, message_segment=message_segment, bot_user_info=thinking.message_info.user_info, reply=thinking.reply, is_head=is_head, is_emoji=is_emoji, sender_info=None, ) def to_dict(self): ret = super().to_dict() ret["message_info"]["user_info"] = self.chat_stream.user_info.to_dict() return ret def is_private_message(self) -> bool: """判断是否为私聊消息""" return self.message_info.group_info is None or self.message_info.group_info.group_id is None @dataclass class MessageSet: """消息集合类，可以存储多个发送消息""" def __init__(self, chat_stream: ChatStream, message_id: str): self.chat_stream = chat_stream self.message_id = message_id self.messages: list[MessageSending] = [] self.time = round(time.time(), 3) # 保留3位小数 def add_message(self, message: MessageSending) -> None: """添加消息到集合""" if not isinstance(message, MessageSending): raise TypeError("MessageSet只能添加MessageSending类型的消息") self.messages.append(message) self.messages.sort(key=lambda x: x.message_info.time) def get_message_by_index(self, index: int) -> Optional[MessageSending]: """通过索引获取消息""" if 0 <= index < len(self.messages): return self.messages[index] return None def get_message_by_time(self, target_time: float) -> Optional[MessageSending]: """获取最接近指定时间的消息""" if not self.messages: return None left, right = 0, len(self.messages) - 1 while left < right: mid = (left + right) // 2 if self.messages[mid].message_info.time < target_time: left = mid + 1 else: right = mid return self.messages[left] def clear_messages(self) -> None: """清空所有消息""" self.messages.clear() def remove_message(self, message: MessageSending) -> bool: """移除指定消息""" if message in self.messages: self.messages.remove(message) return True return False def __str__(self) -> str: return f"MessageSet(id={self.message_id}, count={len(self.messages)})" def __len__(self) -> int: return len(self.messages)