In Python REST APIs, how do I retry transient errors?

In Python REST APIs, transient errors can occur due to various reasons like network issues or throttled services. Implementing a retry mechanism helps to handle these transient errors gracefully and ensure that your application can recover from temporary failures. This can significantly improve the reliability of your API interactions.

Retry Mechanism, Transient Errors, Python REST API, Error Handling, Resilience, API Reliability
import requests from time import sleep def make_request_with_retries(url, retries=5, backoff=1): for i in range(retries): try: response = requests.get(url) response.raise_for_status() # Raises an error for 4xx/5xx responses return response.json() # Assuming the response is JSON except requests.RequestException as e: if i < retries - 1: sleep(backoff * (2 ** i)) # Exponential backoff else: print(f"Failed after {retries} attempts: {e}") return None # or raise the exception as needed # Example usage api_url = "https://api.example.com/data" response_data = make_request_with_retries(api_url) print(response_data)

Retry Mechanism Transient Errors Python REST API Error Handling Resilience API Reliability

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