199 lines
6.3 KiB
Python
199 lines
6.3 KiB
Python
"""
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HookBot - 机器人核心类
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处理消息路由和事件分发
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"""
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import tomllib
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from typing import Dict, Any
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from loguru import logger
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from WechatHook import WechatHookClient, MESSAGE_TYPE_MAP, normalize_message
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from utils.event_manager import EventManager
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class HookBot:
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"""
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HookBot 核心类
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负责消息处理、路由和事件分发
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"""
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def __init__(self, client: WechatHookClient):
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"""
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初始化 HookBot
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Args:
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client: WechatHookClient 实例
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"""
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self.client = client
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self.wxid = None
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self.nickname = None
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# 读取配置
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with open("main_config.toml", "rb") as f:
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main_config = tomllib.load(f)
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bot_config = main_config.get("Bot", {})
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preset_wxid = bot_config.get("wxid") or bot_config.get("bot_wxid")
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preset_nickname = bot_config.get("nickname") or bot_config.get("bot_nickname")
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if preset_wxid:
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self.wxid = preset_wxid
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logger.info(f"使用配置中的机器人 wxid: {self.wxid}")
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if preset_nickname:
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self.nickname = preset_nickname
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logger.info(f"使用配置中的机器人昵称: {self.nickname}")
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self.ignore_mode = bot_config.get("ignore-mode", "None")
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self.whitelist = bot_config.get("whitelist", [])
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self.blacklist = bot_config.get("blacklist", [])
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# 性能配置
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perf_config = main_config.get("Performance", {})
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self.log_sampling_rate = perf_config.get("log_sampling_rate", 1.0)
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# 消息计数和统计
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self.message_count = 0
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self.filtered_count = 0
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self.processed_count = 0
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logger.info("HookBot 初始化完成")
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def update_profile(self, wxid: str, nickname: str):
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"""
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更新机器人信息
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Args:
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wxid: 机器人 wxid
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nickname: 机器人昵称
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"""
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self.wxid = wxid
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self.nickname = nickname
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logger.info(f"机器人信息: wxid={wxid}, nickname={nickname}")
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async def process_message(self, msg_type: int, data: dict):
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"""
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处理接收到的消息
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Args:
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msg_type: 消息类型
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data: 消息数据
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"""
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# 过滤 API 响应消息
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if msg_type in [11174, 11230]:
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return
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# 消息计数
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self.message_count += 1
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# 日志采样 - 只记录部分消息以减少日志量
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should_log = self._should_log_message(msg_type)
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if should_log:
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logger.debug(f"处理消息: type={msg_type}")
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# 重要事件始终记录
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if msg_type in [11098, 11099, 11058]: # 群成员变动、系统消息
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logger.info(f"重要事件: type={msg_type}")
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# 获取事件类型
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event_type = MESSAGE_TYPE_MAP.get(msg_type)
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if should_log and event_type:
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logger.info(f"[HookBot] 消息类型映射: {msg_type} -> {event_type}")
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if not event_type:
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# 记录未知消息类型的详细信息，帮助调试
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content_preview = str(data.get('raw_msg', data.get('msg', '')))[:200]
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logger.warning(f"未映射的消息类型: {msg_type}, wx_type: {data.get('wx_type')}, 内容预览: {content_preview}")
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return
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# 格式转换
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try:
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message = normalize_message(msg_type, data)
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except Exception as e:
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logger.error(f"格式转换失败: {e}")
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return
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# 过滤消息
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if not self._check_filter(message):
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self.filtered_count += 1
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if should_log:
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logger.debug(f"消息被过滤: {message.get('FromWxid')}")
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return
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self.processed_count += 1
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# 采样记录处理的消息
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if should_log:
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content = message.get('Content', '')
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if len(content) > 50:
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content = content[:50] + "..."
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logger.info(f"处理消息: type={event_type}, from={message.get('FromWxid')}, content={content}")
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# 触发事件
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try:
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await EventManager.emit(event_type, self.client, message)
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except Exception as e:
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logger.error(f"事件处理失败: {e}")
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def _should_log_message(self, msg_type: int) -> bool:
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"""判断是否应该记录此消息的日志"""
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# 重要消息类型始终记录
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important_types = {
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11058, 11098, 11099, 11025, # 系统消息、群成员变动、登录信息
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11051, 11047, 11052, 11055 # 视频、图片、表情、文件消息
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}
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if msg_type in important_types:
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return True
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# 其他消息按采样率记录
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import random
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return random.random() < self.log_sampling_rate
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def _check_filter(self, message: Dict[str, Any]) -> bool:
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"""
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检查消息是否通过过滤
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Args:
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message: 消息字典
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Returns:
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是否通过过滤
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"""
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from_wxid = message.get("FromWxid", "")
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sender_wxid = message.get("SenderWxid", "")
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msg_type = message.get("MsgType", 0)
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# 系统消息（type=11058）不过滤，因为包含重要的群聊事件信息
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if msg_type == 11058:
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return True
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# 过滤机器人自己发送的消息，避免无限循环
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if self.wxid and (from_wxid == self.wxid or sender_wxid == self.wxid):
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return False
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# None 模式：处理所有消息
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if self.ignore_mode == "None":
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return True
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# Whitelist 模式：仅处理白名单
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if self.ignore_mode == "Whitelist":
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return from_wxid in self.whitelist or sender_wxid in self.whitelist
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# Blacklist 模式：屏蔽黑名单
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if self.ignore_mode == "Blacklist":
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return from_wxid not in self.blacklist and sender_wxid not in self.blacklist
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return True
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def get_stats(self) -> dict:
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"""获取消息处理统计信息"""
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return {
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"total_messages": self.message_count,
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"filtered_messages": self.filtered_count,
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"processed_messages": self.processed_count,
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"filter_rate": self.filtered_count / max(self.message_count, 1),
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"process_rate": self.processed_count / max(self.message_count, 1)
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}
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