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Explain the operation of the @retry decorator in your code. What errors does it catch and why these specific ones?

sobes.tech AI

Answer from AI

The @retry decorator is used for automatically retrying a function when certain errors occur.

How it works:

  • Wraps the target function.
  • Catches exceptions when the function is called.
  • If the error matches a specified list (e.g., network errors, timeouts, temporary failures), it retries the call with a delay.
  • The number of attempts and delay are usually configurable.

What errors it catches:

  • Temporary errors that may resolve upon retry (e.g., ConnectionError, TimeoutError).
  • Errors related to unstable connections or external services.

Why these errors:

  • To avoid retrying on critical errors (e.g., ValueError or AuthenticationError) that won't be fixed by retrying.
  • Retry attempts increase resilience to temporary failures without excessive load.

Example usage:

from retry import retry
import requests

@retry((requests.exceptions.ConnectionError, requests.exceptions.Timeout), tries=3, delay=2)
def fetch_data(url):
    response = requests.get(url)
    response.raise_for_status()
    return response.json()

Here, the fetch_data function will be retried up to 3 times with a 2-second delay if connection errors or timeouts occur.