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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.,
ValueErrororAuthenticationError) 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.