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Minor refactor examples/text_filter_example.py and examples/throtling_example.py

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Suren Khorenyan 2019-08-11 21:59:56 +03:00
parent 8538e6af57
commit 94811c57e1
2 changed files with 8 additions and 5 deletions
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7
examples/text_filter_example.py
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@ -7,7 +7,8 @@ import logging
from aiogram import Bot, Dispatcher, executor, types
API_TOKEN = 'API_TOKEN_HERE'
API_TOKEN = 'BOT_TOKEN_HERE'
# Configure logging
logging.basicConfig(level=logging.INFO)
@ -16,10 +17,12 @@ logging.basicConfig(level=logging.INFO)
bot = Bot(token=API_TOKEN)
dp = Dispatcher(bot)
# if the text from user in the list
@dp.message_handler(text=['text1', 'text2'])
async def text_in_handler(message: types.Message):
await message.answer("The message text is in the list!")
await message.answer("The message text equals to one of in the list!")
# if the text contains any string
@dp.message_handler(text_contains='example1')

6
examples/throtling_example.py
View file

@ -4,7 +4,6 @@ Example for throttling manager.
You can use that for flood controlling.
"""
import asyncio
import logging
from aiogram import Bot, types
@ -13,14 +12,15 @@ from aiogram.dispatcher import Dispatcher
from aiogram.utils.exceptions import Throttled
from aiogram.utils.executor import start_polling
API_TOKEN = 'BOT TOKEN HERE'
API_TOKEN = 'BOT_TOKEN_HERE'
logging.basicConfig(level=logging.INFO)
bot = Bot(token=API_TOKEN)
# Throttling manager does not work without Leaky Bucket.
# Then need to use storages. For example use simple in-memory storage.
# You need to use a storage. For example use simple in-memory storage.
storage = MemoryStorage()
dp = Dispatcher(bot, storage=storage)