How to Properly Handle Asynchronous HTTP Requests with aiohttp in Python 3.9?
I've searched everywhere and can't find a clear answer. I'm deploying to production and I'm trying to make multiple asynchronous HTTP requests using the `aiohttp` library in Python 3.9, but I'm working with issues with request timeouts and behavior handling. I have a function that fetches data from a list of URLs, but sometimes it hangs or raises a `TimeoutError`. Here's the code I'm currently using: ```python import aiohttp import asyncio async def fetch(session, url): try: async with session.get(url, timeout=5) as response: return await response.json() except asyncio.TimeoutError: print(f'Timeout while fetching {url}') except Exception as e: print(f'behavior fetching {url}: {e}') async def fetch_all(urls): async with aiohttp.ClientSession() as session: tasks = [fetch(session, url) for url in urls] return await asyncio.gather(*tasks, return_exceptions=True) urls = [ 'https://api.example.com/data1', 'https://api.example.com/data2', 'https://api.example.com/data3', ] results = asyncio.run(fetch_all(urls)) print(results) ``` I expect the function to print either the JSON results or a timeout message, but it sometimes just hangs indefinitely on certain URLs. I've tried increasing the timeout value, but that doesn't seem to help. I'm also unsure if I should be using `return_exceptions=True` in `asyncio.gather()` or if it might be masking other issues. Any advice on best practices for handling timeouts with `aiohttp` or debugging why certain requests hang would be greatly appreciated! I'd love to hear your thoughts on this. The stack includes Python and several other technologies. Any feedback is welcome!