Utility to extract new pool details from the notcoin Telegram mini-app

I built a relay that monitors the notcoin bot for new pools and posts alerts to a Telegram channel. The attached streamlined code demonstrates the approach.

# starter.py
import asyncio
import logging
from message_relay import initiate_relay

logging.basicConfig(level=logging.INFO)

if __name__ == '__main__':
    asyncio.run(initiate_relay())
# message_relay.py
import asyncio
import aiohttp
from aiogram import Bot, Dispatcher, types

dp = Dispatcher()
CHANNEL = ""

async def initiate_relay():
    bot_instance = Bot('YOUR_API_KEY', parse_mode='HTML')
    await dp.start_polling(bot_instance)

async def get_new_pools():
    async with aiohttp.ClientSession() as session:
        async with session.get('https://t.me/example_bot') as resp:
            page = await resp.text()
    # Dummy extraction logic
    pools = ['Alpha Pool', 'Beta Pool']
    for pool in pools:
        await bot_instance.send_message(CHANNEL, f'New pool available: {pool}')

In my experience building similar relay systems, incorporating robust error handling and logging is crucial. I initially struggled with intermittent network issues that affected message delivery, so I ended up wrapping the Telegram API calls in try-except blocks. In addition, I added retries for failed HTTP requests. Streamlining the session management in aiohttp and ensuring that the bot configuration is validated at startup helped resolve several issues. Always test the script with edge cases, as the asynchronous operations can sometimes mask unexpected failures.

Developing a relay for monitoring new pool details in a Telegram mini-app may seem straightforward initially, but real usage has shown that practical considerations such as concurrency and resource management can be challenging. Personal experience taught me to incorporate proper timeouts and ensure that HTTP responses are properly validated before processing. Additionally, thoroughly testing the integration with the Telegram API and simulating device failures has proved essential in maintaining smooth operations. A proactive approach to error handling coupled with frequent real-world testing minimizes disruptions and ensures consistent performance, especially under variable network conditions.

hey guys, i ran into issues with telegram api limits. adding small delays and extra error checks for disconnections helped a lot. even minor tweaks in session management can improve longevity. testing every update is key to avoid failures. cheers!