Struggling with Async Task Management in FastAPI During Code Review Process
I'm relatively new to this, so bear with me. Can someone help me understand I'm having a hard time understanding I'm testing a new approach and I'm working on a personal project and Working on a project where we're utilizing FastAPI for a cross-platform mobile application, I find myself needing to manage background tasks efficiently..... Our team has been conducting a code review, and it highlighted concerns regarding the handling of async tasks, especially when multiple tasks could potentially conflict with each other. Currently, we have a setup where we use `BackgroundTasks` from `fastapi`, but it seems quite limited for our use case. Here’s a snippet of what we’re working with: ```python from fastapi import FastAPI, BackgroundTasks app = FastAPI() def background_task(data): # Simulating a long-running task print(f"Processing {data}") @app.post("/process/") def process_item(data: str, background_tasks: BackgroundTasks): background_tasks.add_task(background_task, data) return {"message": "Task is in the background"} ``` While this works for single tasks, the review pointed out that we need to scale it for multiple concurrent tasks without blocking the main thread. I tried using Python's `asyncio` library to create more complex task management, as shown below, but ran into issues with exceptions that weren’t being handled properly: ```python import asyncio async def async_background_task(data): await asyncio.sleep(5) # Simulate a long-running task print(f"Finished processing {data}") @app.post("/async-process/") def async_process_item(data: str): task = asyncio.create_task(async_background_task(data)) return {"message": "Async task started"} ``` During code review, it became evident that exception handling in async tasks was not robust enough. I’ve read that using `asyncio.gather` could improve things, but I’m unsure how to effectively implement it without introducing new complexity. Also, the review team suggested integrating a task queue like `Celery`, but that feels like overkill for our application at this stage. Any recommendations on how to better manage these async tasks and handle potential exceptions during their execution? Looking for insights on both implementation and best practices for this context. My development environment is Ubuntu. Any help would be greatly appreciated! The stack includes Python and several other technologies. Any ideas how to fix this? How would you solve this? I'm developing on Ubuntu 20.04 with Python. What would be the recommended way to handle this? I recently upgraded to Python 3.11. Thanks, I really appreciate it!