Skip to main content

Decorator for retrying a function N times in case some specified exception occurs.

Project description

# retry\_on\_exceptions decorator
Decorator for retrying a function N times by catching one of the specified exceptions and then retrying.
Specially useful for functions that throws errors sporadically, like ones that depends on external resources as web APIs, databases, etc.

Usage:

from retry import retry_on_exceptions

current_try = 0
@retry_on_exceptions(types=[ZeroDivisionError, KeyError], tries=3)
def test():
global current_try
current_try += 1
if current_try == 1:
return 1 / 0
elif current_try == 2:
return dict()['key']
else:
return "Got it on last try!"

if __name__ == "__main__":
print test()

The code above prints (if root logger is active and on debug level):

- Retrying function test
- Retrying function test
- Last try... and I will raise up whatever exception is raised
- Got it on last try!

Optionally, you can also specify a delay (a float in seconds), making the current thread sleep between tries:

@retry_on_exceptions(types=[urllib2.URLError], tries=3, delay=3.5)

Project details


Release history Release notifications | RSS feed

This version

0.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for retry_on_exceptions, version 0.1
Filename, size File type Python version Upload date Hashes
Filename, size retry_on_exceptions-0.1.tar.gz (3.3 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page