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120 lines
3.6 KiB
Python
120 lines
3.6 KiB
Python
import asyncio
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from aiogram import Bot, Dispatcher, executor, types
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from aiogram.contrib.fsm_storage.redis import RedisStorage2
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from aiogram.dispatcher import DEFAULT_RATE_LIMIT
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from aiogram.dispatcher.handler import CancelHandler, current_handler
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from aiogram.dispatcher.middlewares import BaseMiddleware
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from aiogram.utils.exceptions import Throttled
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TOKEN = 'BOT_TOKEN_HERE'
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# In this example Redis storage is used
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storage = RedisStorage2(db=5)
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bot = Bot(token=TOKEN)
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dp = Dispatcher(bot, storage=storage)
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def rate_limit(limit: int, key=None):
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"""
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Decorator for configuring rate limit and key in different functions.
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:param limit:
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:param key:
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:return:
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"""
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def decorator(func):
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setattr(func, 'throttling_rate_limit', limit)
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if key:
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setattr(func, 'throttling_key', key)
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return func
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return decorator
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class ThrottlingMiddleware(BaseMiddleware):
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"""
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Simple middleware
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"""
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def __init__(self, limit=DEFAULT_RATE_LIMIT, key_prefix='antiflood_'):
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self.rate_limit = limit
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self.prefix = key_prefix
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super(ThrottlingMiddleware, self).__init__()
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async def on_process_message(self, message: types.Message, data: dict):
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"""
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This handler is called when dispatcher receives a message
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:param message:
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"""
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# Get current handler
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handler = current_handler.get()
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# Get dispatcher from context
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dispatcher = Dispatcher.get_current()
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# If handler was configured, get rate limit and key from handler
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if handler:
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limit = getattr(handler, 'throttling_rate_limit', self.rate_limit)
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key = getattr(handler, 'throttling_key', f"{self.prefix}_{handler.__name__}")
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else:
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limit = self.rate_limit
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key = f"{self.prefix}_message"
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# Use Dispatcher.throttle method.
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try:
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await dispatcher.throttle(key, rate=limit)
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except Throttled as t:
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# Execute action
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await self.message_throttled(message, t)
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# Cancel current handler
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raise CancelHandler()
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async def message_throttled(self, message: types.Message, throttled: Throttled):
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"""
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Notify user only on first exceed and notify about unlocking only on last exceed
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:param message:
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:param throttled:
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"""
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handler = current_handler.get()
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dispatcher = Dispatcher.get_current()
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if handler:
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key = getattr(handler, 'throttling_key', f"{self.prefix}_{handler.__name__}")
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else:
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key = f"{self.prefix}_message"
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# Calculate how many time is left till the block ends
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delta = throttled.rate - throttled.delta
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# Prevent flooding
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if throttled.exceeded_count <= 2:
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await message.reply('Too many requests! ')
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# Sleep.
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await asyncio.sleep(delta)
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# Check lock status
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thr = await dispatcher.check_key(key)
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# If current message is not last with current key - do not send message
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if thr.exceeded_count == throttled.exceeded_count:
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await message.reply('Unlocked.')
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@dp.message_handler(commands=['start'])
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@rate_limit(5, 'start') # this is not required but you can configure throttling manager for current handler using it
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async def cmd_test(message: types.Message):
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# You can use this command every 5 seconds
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await message.reply('Test passed! You can use this command every 5 seconds.')
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if __name__ == '__main__':
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# Setup middleware
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dp.middleware.setup(ThrottlingMiddleware())
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# Start long-polling
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executor.start_polling(dp)
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