Python 2.7: Issues with using ThreadPoolExecutor for handling API requests with rate limits
I'm not sure how to approach I'm updating my dependencies and I'm working on a project and hit a roadblock. I'm currently using `ThreadPoolExecutor` from the `concurrent.futures` module to handle multiple API requests concurrently in Python 2.7. The API I'm working with has strict rate limits (100 requests per minute), and I'm trying to implement a solution that respects these limits without running into `HTTP 429 Too Many Requests` errors. However, I'm facing issues with the execution timing and managing the thread wait times properly. Here's a simplified version of my code: ```python import requests from concurrent.futures import ThreadPoolExecutor import time API_URL = 'https://api.example.com/data' RATE_LIMIT = 100 # requests per minute # Function to make API requests def fetch_data(param): response = requests.get(f'{API_URL}?param={param}') if response.status_code == 200: return response.json() else: print(f'Error: {response.status_code}') params = range(200) # Example params to send in requests with ThreadPoolExecutor(max_workers=10) as executor: future_to_param = {executor.submit(fetch_data, param): param for param in params} for future in future_to_param: try: data = future.result() except Exception as e: print(f'Generated an exception: {e}') # Wait to stay within the rate limit time.sleep(60) # Sleep for one minute after processing requests ``` What I have noticed is that when I run this code, I frequently get `HTTP 429` errors because the requests are being processed too quickly, even though I added a sleep command at the end. It seems that the sleep command doesn’t effectively throttle the requests made by the executor. I’ve tried using `time.sleep()` in various places, but the timing of the requests still exceeds the rate limit. Is there a better way to handle the request rate limiting when using `ThreadPoolExecutor`? Should I be implementing a queue system to control the rate at which requests are sent? Any suggestions on how to address this issue would be greatly appreciated! I'd really appreciate any guidance on this. Has anyone else encountered this? Thanks for any help you can provide! I'm working on a mobile app that needs to handle this. I'd be grateful for any help.