scenarios when using asyncio and aiohttp for making concurrent HTTP requests in Python 3.10
I tried several approaches but none seem to work... This might be a silly question, but I'm working on a personal project and I'm refactoring my project and I'm sure I'm missing something obvious here, but I'm working with an scenario while trying to make concurrent HTTP requests using `asyncio` and `aiohttp` in Python 3.10..... The goal is to fetch data from multiple APIs simultaneously. However, I keep getting a `ClientConnectorError: want to connect to host api.example.com:80` for some requests, while others succeed without any scenario. Here's a simplified version of my code: ```python import asyncio import aiohttp async def fetch(session, url): async with session.get(url) as response: return await response.json() async def main(urls): async with aiohttp.ClientSession() as session: tasks = [fetch(session, url) for url in urls] return await asyncio.gather(*tasks) if __name__ == '__main__': urls = ["http://api.example.com/data1", "http://api.example.com/data2"] results = asyncio.run(main(urls)) print(results) ``` I've checked the URLs, and they are correct. However, the behavior seems to happen randomly, sometimes succeeding on the first run and failing on another. I've tried increasing the connection timeout by adding `timeout=aiohttp.ClientTimeout(total=10)` in the `ClientSession`, but it doesn't resolve the scenario. I also made sure to run this in an environment where there are no firewall restrictions. Is there something specific that I might be overlooking in my asyncio setup? Could it be related to the server-side rate limits or connection pooling? Any insights would be appreciated as I'm struggling to figure out the root cause of this intermittent connectivity scenario. I'd really appreciate any guidance on this. Any suggestions would be helpful. What's the best practice here? Any help would be greatly appreciated! I'm using Python LTS in this project. Any advice would be much appreciated.