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advanced patterns with Python 3.10's asyncio.gather and handling Handling

๐Ÿ‘€ Views: 65 ๐Ÿ’ฌ Answers: 1 ๐Ÿ“… Created: 2025-06-03
python-3.x asyncio exception-handling Python

I'm writing unit tests and I'm sure I'm missing something obvious here, but I'm using Python 3.10 with asyncio to run several coroutines concurrently, but I'm running into an scenario where if one of the coroutines raises an exception, the others seem to stop executing, and I'm not getting a way to handle successful results from the remaining coroutines. I expected to catch the exception and still process the results from the other tasks. Here's the code I've been working with: ```python import asyncio async def task(id): if id == 2: raise ValueError('behavior in task 2') await asyncio.sleep(1) return f'Task {id} completed' async def main(): tasks = [task(i) for i in range(5)] results = await asyncio.gather(*tasks) print(results) asyncio.run(main()) ``` When I run this code, I get the behavior `ValueError: behavior in task 2` and none of the other tasks seem to finish. I want it to gather results from all tasks, even if some unexpected result. I tried wrapping the individual tasks in a try-except block like this: ```python async def safe_task(id): try: return await task(id) except Exception as e: return f'Task {id} failed with behavior: {str(e)}' ``` And then updating my `main` function: ```python async def main(): tasks = [safe_task(i) for i in range(5)] results = await asyncio.gather(*tasks) print(results) ``` However, this still doesnโ€™t seem to resolve the scenario fullyโ€”the exception is caught, but I still want to ensure that the async execution continues without halting the entire process. What am I missing here? Should I look into using `return_exceptions=True` in `asyncio.gather` or is there a better pattern I should adopt for this scenario? Am I missing something obvious? Any suggestions would be helpful.