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implementing Asynchronous File Downloads in Python 3.11 Using aiohttp and asyncio

👀 Views: 70 đŸ’Ŧ Answers: 1 📅 Created: 2025-06-28
python-3.x aiohttp asyncio asynchronous Python

I've searched everywhere and can't find a clear answer. I've looked through the documentation and I'm still confused about I'm working on a personal project and I'm working with a question with asynchronous file downloads using aiohttp in Python 3.11. When I try to download multiple files concurrently, the downloads often unexpected result with a `ClientConnectionError: want to connect to host`. I suspect it might be related to the network conditions or the way I'm using the asyncio event loop. Below is a simplified version of my code: ```python import aiohttp import asyncio async def download_file(session, url): async with session.get(url) as response: if response.status == 200: with open(url.split('/')[-1], 'wb') as f: f.write(await response.read()) else: print(f"Failed to download {url}: Status {response.status}") async def main(urls): async with aiohttp.ClientSession() as session: tasks = [download_file(session, url) for url in urls] await asyncio.gather(*tasks) if __name__ == '__main__': urls = ['http://example.com/file1.zip', 'http://example.com/file2.zip'] # Add more URLs as needed asyncio.run(main(urls)) ``` I've tried increasing the timeout settings and checking if the URLs are reachable directly in a browser, which they are. Additionally, running the downloads sequentially works fine, but I need the concurrent approach to improve performance for a larger number of files. I've also looked into configuring the TCP settings but haven't found much documentation on that. Has anyone else faced a similar scenario, or does anyone have suggestions on how I can improve the stability of these concurrent downloads? For context: I'm using Python on Windows. Any ideas what could be causing this? This is happening in both development and production on CentOS. Hoping someone can shed some light on this.