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Description:

reretry 0.11.8

reretry

An easy to use retry decorator.
This package is a fork from the retry package, but with some of added community-sourced features.
Features
New features in reretry:

Log traceback of an error that lead to a failed attempt.
Call a custom callback after each failed attempt.
Can be used with async functions.

From original retry:

Retry on specific exceptions.
Set a maximum number of retries.
Set a delay between retries.
Set a maximum delay between retries.
Set backoff and jitter parameters.
Use a custom logger.
No external dependencies (stdlib only).
(Optionally) Preserve function signatures (pip install decorator).

Installation
$ pip install reretry

API
The @retry decorator
Usage
@retry(exceptions=Exception, tries=-1, delay=0, max_delay=None, backoff=1, jitter=0, show_traceback=False, logger=logging_logger, fail_callback=None)
Arguments

exceptions: An exception or a tuple of exceptions to catch. Default: Exception.

tries: The maximum number of attempts. default: -1 (infinite).

delay: Initial delay between attempts (in seconds). default: 0.

max_delay: The maximum value of delay (in seconds). default: None (no limit).

backoff: Multiplier applied to delay between attempts. default: 1 (no backoff).

jitter: Extra seconds added to delay between attempts. default: 0. Fixed if a number, random if a range tuple (min, max).

show_traceback: Print traceback before retrying (Python3 only). default: False.

logger: logger.warning(fmt, error, delay) will be called on failed attempts. default: retry.logging_logger. if None, logging is disabled.

fail_callback: fail_callback(e) will be called after failed attempts.

Examples
from reretry import retry

@retry()
def make_trouble():
'''Retry until succeeds'''

@retry()
async def async_make_trouble():
'''Retry an async function until it succeeds'''

@retry(ZeroDivisionError, tries=3, delay=2)
def make_trouble():
'''Retry on ZeroDivisionError, raise error after 3 attempts,
sleep 2 seconds between attempts.'''

@retry((ValueError, TypeError), delay=1, backoff=2)
def make_trouble():
'''Retry on ValueError or TypeError, sleep 1, 2, 4, 8, ... seconds between attempts.'''

@retry((ValueError, TypeError), delay=1, backoff=2, max_delay=4)
def make_trouble():
'''Retry on ValueError or TypeError, sleep 1, 2, 4, 4, ... seconds between attempts.'''

@retry(ValueError, delay=1, jitter=1)
def make_trouble():
'''Retry on ValueError, sleep 1, 2, 3, 4, ... seconds between attempts.'''

def callback(e: Exception):
'''Print error message'''
print(e)

@retry(ValueError, fail_callback=callback):
def make_trouble():
'''Retry on ValueError, between attempts call callback(e)
(where e is the Exception raised).'''

# If you enable logging, you can get warnings like 'ValueError, retrying in
# 1 seconds'
if __name__ == '__main__':
import logging
logging.basicConfig()
make_trouble()

The retry_call function
Calls a function and re-executes it if it failed.
This is very similar to the decorator, except that it takes a function and its arguments as parameters. The use case behind it is to be able to dynamically adjust the retry arguments.
Usage
retry_call(f, fargs=None, fkwargs=None, exceptions=Exception, tries=-1, delay=0, max_delay=None, backoff=1, jitter=0, show_traceback=False, logger=logging_logger, fail_callback=None)
Example
import requests

from reretry.api import retry_call

def make_trouble(service, info=None):
if not info:
info = ''
r = requests.get(service + info)
return r.text

def what_is_my_ip(approach=None):
if approach == "optimistic":
tries = 1
elif approach == "conservative":
tries = 3
else:
# skeptical
tries = -1
result = retry_call(
make_trouble,
fargs=["http://ipinfo.io/"],
fkwargs={"info": "ip"},
tries=tries
)
print(result)

what_is_my_ip("conservative")