Refactoring API Integration Logic to Improve Performance with Python 3.x and Asyncio
I'm collaborating on a project where I've searched everywhere and can't find a clear answer... I'm relatively new to this, so bear with me. I'm sure I'm missing something obvious here, but Currently developing a system that integrates with multiple third-party APIs, I’ve started to notice performance bottlenecks during high-load periods... The existing implementation is synchronous, which causes delays when calling several APIs sequentially. For instance, here’s how the current function looks: ```python import requests def fetch_data(): response1 = requests.get('https://api.example1.com/data') response2 = requests.get('https://api.example2.com/data') return response1.json(), response2.json() ``` This approach works but leads to significant latency because each request waits for the previous one to complete. I want to switch to an asynchronous approach using `asyncio` and `aiohttp`. Here’s what I’ve attempted: ```python import aiohttp import asyncio async def fetch(session, url): async with session.get(url) as response: return await response.json() async def fetch_data(): async with aiohttp.ClientSession() as session: task1 = fetch(session, 'https://api.example1.com/data') task2 = fetch(session, 'https://api.example2.com/data') return await asyncio.gather(task1, task2) ``` While this refactoring seems promising, I’m unclear about efficiently handling the exceptions that might arise if one API fails. Community discussions suggest implementing a retry mechanism along with error handling. I want to ensure that if one API call fails, it doesn't bring down the entire process. Here’s a rough idea I've sketched out: ```python async def fetch_with_retry(session, url, retries=3): for attempt in range(retries): try: return await fetch(session, url) except Exception as e: if attempt == retries - 1: print(f'Failed to fetch {url} after {retries} attempts') else: print(f'Retrying {url}, attempt {attempt + 1}') ``` However, I’m uncertain how best to integrate this retry logic with `asyncio.gather`. Should I create a separate task for each API call with their unique retry logic, or is there a more consolidated way to handle this? Any insights on best practices for structuring this asynchronous code with error handling would be greatly appreciated! I'd really appreciate any guidance on this. This is my first time working with Python 3.X LTS. Could this be a known issue? This is happening in both development and production on Ubuntu 20.04. Could this be a known issue? This is for a REST API running on Ubuntu 22.04. I'd really appreciate any guidance on this. I'm working with Python 3.X in a Docker container on Windows 11. Any ideas what could be causing this?