How to implement guide with concurrent file downloads using python 3.9's asyncio and aiofiles leading to file corruption
I'm testing a new approach and Hey everyone, I'm running into an issue that's driving me crazy. I'm experiencing issues when trying to download multiple files concurrently using Python 3.9 with the `asyncio` and `aiofiles` libraries. Specifically, when I attempt to download files simultaneously, I sometimes end up with corrupted files, where the content doesn't match the expected output. I have the following code snippet that illustrates my approach: ```python import asyncio import aiofiles import aiohttp async def download_file(session, url, filename): async with session.get(url) as response: if response.status == 200: async with aiofiles.open(filename, 'wb') as f: content = await response.read() await f.write(content) else: print(f'behavior downloading {url}: {response.status}') async def main(urls): async with aiohttp.ClientSession() as session: tasks = [download_file(session, url, f'file_{i}.txt') for i, url in enumerate(urls)] await asyncio.gather(*tasks) if __name__ == '__main__': file_urls = [ 'https://example.com/file1.txt', 'https://example.com/file2.txt', 'https://example.com/file3.txt' ] asyncio.run(main(file_urls)) ``` When I run this code, sometimes `file_0.txt` or `file_1.txt` ends up being incomplete or has a mix of contents from other files. I suspect this might be due to the asynchronous nature of the program, and perhaps the order in which the files are being written is causing the overlap. To troubleshoot this, I tried adding locks using `asyncio.Lock()`, but it didn't seem to resolve the scenario. Does anyone have suggestions on how to implement safe concurrent file downloads to avoid this kind of corruption? Any insights or best practices would be appreciated. I recently upgraded to Python latest. I'm working on a web app that needs to handle this. Is there a better approach?