import asyncio from typing import Optional from telegram import Update from telegram.ext import ContextTypes, ApplicationHandlerStop, TypeHandler from utils.log import logger class LimiterHandler(TypeHandler): _lock = asyncio.Lock() def __init__( self, max_rate: float = 5, time_period: float = 10, amount: float = 1, limit_time: Optional[float] = None ): """Limiter Handler 通过 `Leaky bucket algorithm `_ 实现对用户的输入的精确控制 输入超过一定速率后,代码会抛出 :class:`telegram.ext.ApplicationHandlerStop` 异常并在一段时间内防止用户执行任何其他操作 :param max_rate: 在抛出异常之前最多允许 频率/秒 的速度 :param time_period: 在限制速率的时间段的持续时间 :param amount: 提供的容量 :param limit_time: 限制时间 如果不提供限制时间为 max_rate / time_period * amount """ self.max_rate = max_rate self.amount = amount self._rate_per_sec = max_rate / time_period self.limit_time = limit_time super().__init__(Update, self.limiter_callback) async def limiter_callback(self, update: Update, context: ContextTypes.DEFAULT_TYPE): if update.inline_query is not None: return loop = asyncio.get_running_loop() async with self._lock: time = loop.time() user_data = context.user_data if user_data is None: return user_limit_time = user_data.get("limit_time") if user_limit_time is not None: if time >= user_limit_time: del user_data["limit_time"] else: raise ApplicationHandlerStop last_task_time = user_data.get("last_task_time", 0) if last_task_time: task_level = user_data.get("task_level", 0) elapsed = time - last_task_time decrement = elapsed * self._rate_per_sec task_level = max(task_level - decrement, 0) user_data["task_level"] = task_level if not task_level + self.amount <= self.max_rate: if self.limit_time: limit_time = self.limit_time else: limit_time = 1 / self._rate_per_sec * self.amount user_data["limit_time"] = time + limit_time user = update.effective_user logger.warning("用户 %s[%s] 触发洪水限制 已被限制 %s 秒", user.full_name, user.id, limit_time) raise ApplicationHandlerStop user_data["last_task_time"] = time task_level = user_data.get("task_level", 0) user_data["task_level"] = task_level + self.amount