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37 lines
1.2 KiB
Python
37 lines
1.2 KiB
Python
import hashlib
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import logging
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from aiogram import Bot, Dispatcher, executor
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from aiogram.types import InlineQuery, \
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InputTextMessageContent, InlineQueryResultArticle
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API_TOKEN = 'BOT_TOKEN_HERE'
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logging.basicConfig(level=logging.DEBUG)
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bot = Bot(token=API_TOKEN)
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dp = Dispatcher(bot)
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@dp.inline_handler()
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async def inline_echo(inline_query: InlineQuery):
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# id affects both preview and content,
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# so it has to be unique for each result
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# (Unique identifier for this result, 1-64 Bytes)
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# you can set your unique id's
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# but for example i'll generate it based on text because I know, that
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# only text will be passed in this example
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text = inline_query.query or 'echo'
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input_content = InputTextMessageContent(text)
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result_id: str = hashlib.md5(text.encode()).hexdigest()
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item = InlineQueryResultArticle(
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id=result_id,
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title=f'Result {text!r}',
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input_message_content=input_content,
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)
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# don't forget to set cache_time=1 for testing (default is 300s or 5m)
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await bot.answer_inline_query(inline_query.id, results=[item], cache_time=1)
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if __name__ == '__main__':
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executor.start_polling(dp, skip_updates=True)
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