What are the best practices for implementing retry logic in Python?

What are the best practices for implementing retry logic in Python?

When implementing retry logic in Python, consider using the retrying library or the built-in time module for delays.

How do I handle exceptions during retries?

You should catch specific exceptions that you expect might occur and decide whether to retry based on the exception type.

Is there a way to limit the number of retries?

Yes, you can set a maximum number of retries using a counter or by configuring the retry library to limit attempts.

What about exponential backoff?

Exponential backoff is a great strategy! It increases the wait time between retries exponentially, which can help reduce load.

Can you give me a code example?

Sure! Here's a simple example using the time module:

import time
import random

def retry_function():
    for i in range(5):
        try:
            # Simulate a function that may fail
            if random.choice([True, False]):
                raise Exception('Failed!')
            print('Success!')
            break
        except Exception:
            print('Retrying...')
            time.sleep(2 ** i)  # Exponential backoff