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https://github.com/kristoferssolo/SScom-scraper.git
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41 lines
1.0 KiB
Python
Executable File
41 lines
1.0 KiB
Python
Executable File
#!/usr/bin/env python3
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import json
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import logging
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from pathlib import Path
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from aiogram import Bot, Dispatcher, executor, types
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from SScom.scraper import gpus
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BASE_DIR = Path(__file__).resolve().parent
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# Read the token from file
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with open(Path(BASE_DIR, "config.json"), "r", encoding="UTF-8") as config_file:
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config = json.load(config_file)
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API_TOKEN = config["API_TOKEN"]
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# Configure logging
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logging.basicConfig(level=logging.INFO)
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# Initialize bot and dispatcher
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bot = Bot(token=API_TOKEN)
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dp = Dispatcher(bot)
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@dp.message_handler(commands=["gpu", "gpus"])
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async def gpu_price_message(message: types.Message):
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"""Returns all scraped GPUs and their prices to telegram"""
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data = gpus.get_data()
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message_size = 100
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chunked_data = [
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data[i : i + message_size] for i in range(0, len(data), message_size)
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]
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for i in chunked_data:
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await message.answer("\n".join(i))
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await message.answer(f"In total {len(data)} GPUs")
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if __name__ == "__main__":
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executor.start_polling(dp, skip_updates=True)
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