mirror of
https://github.com/PaiGramTeam/PaiGram.git
synced 2024-11-23 00:01:45 +00:00
72 lines
3.0 KiB
Python
72 lines
3.0 KiB
Python
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import asyncio
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from typing import TypeVar, Optional
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from telegram import Update
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from telegram.ext import ContextTypes, ApplicationHandlerStop, TypeHandler
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from utils.log import logger
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UT = TypeVar("UT")
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CCT = TypeVar("CCT", bound="CallbackContext[Any, Any, Any, Any]")
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class LimiterHandler(TypeHandler[UT, CCT]):
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_lock = asyncio.Lock()
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def __init__(
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self, max_rate: float = 5, time_period: float = 10, amount: float = 1, limit_time: Optional[float] = None
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):
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"""Limiter Handler 通过
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`Leaky bucket algorithm <https://en.wikipedia.org/wiki/Leaky_bucket>`_
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实现对用户的输入的精确控制
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输入超过一定速率后，代码会抛出
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:class:`telegram.ext.ApplicationHandlerStop`
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异常并在一段时间内防止用户执行任何其他操作
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:param max_rate: 在抛出异常之前最多允许 频率/秒 的速度
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:param time_period: 在限制速率的时间段的持续时间
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:param amount: 提供的容量
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:param limit_time: 限制时间 如果不提供限制时间为 max_rate / time_period * amount
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"""
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self.max_rate = max_rate
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self.amount = amount
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self._rate_per_sec = max_rate / time_period
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self.limit_time = limit_time
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super().__init__(Update, self.limiter_callback)
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async def limiter_callback(self, update: Update, context: ContextTypes.DEFAULT_TYPE):
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if update.inline_query is not None:
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return
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loop = asyncio.get_running_loop()
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async with self._lock:
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time = loop.time()
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user_data = context.user_data
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if user_data is None:
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return
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user_limit_time = user_data.get("limit_time")
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if user_limit_time is not None:
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if time >= user_limit_time:
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del user_data["limit_time"]
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else:
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raise ApplicationHandlerStop
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last_task_time = user_data.get("last_task_time", 0)
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if last_task_time:
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task_level = user_data.get("task_level", 0)
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elapsed = time - last_task_time
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decrement = elapsed * self._rate_per_sec
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task_level = max(task_level - decrement, 0)
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user_data["task_level"] = task_level
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if not task_level + self.amount <= self.max_rate:
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if self.limit_time:
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limit_time = self.limit_time
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else:
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limit_time = 1 / self._rate_per_sec * self.amount
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user_data["limit_time"] = time + limit_time
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user = update.effective_user
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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)
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raise ApplicationHandlerStop
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user_data["last_task_time"] = time
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task_level = user_data.get("task_level", 0)
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user_data["task_level"] = task_level + self.amount
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