Retry decorator for both synchronous and asynchronous functions.
Project description
Retry decorator
Tool for retrying tasks on failure. Optionally a callback can be invoked between tries. Supports both synchronous & async.
Installation
pip install retry-deco
Features
- async support
- allows executing callback between attempts
- when all tries are exhausted, then either
- last caught exception is re-raised (default); or
- last caught exception is returned; or
- optional callback is invoked and its result is returned
- customizable backoff
API
def retry(
expected_exception: type[E] | tuple[type[E], ...] = Exception,
*,
retries: int = 1,
backoff: N = 0,
exponential_backoff: bool = False,
on_exhaustion: bool|X = False,
jitter: N | tuple[N, N] = 0,
max_backoff: N = 0,
on_exception: None | dict | tuple[C, OnErrOpts] | C = None,
):
"""Retry decorator for synchronous and asynchronous functions.
Arguments:
expected_exception:
exception or tuple of exceptions to catch. default: Exception
Keyword arguments:
retries:
how much times the function will be retried, -1 for infinite. default: 1
note total attempts will be retries + 1
backoff:
time interval between the attempts. default: 0
exponential_backoff:
current_backoff = backoff * 2 ** retries. default: False
on_exhaustion:
- False if exception should be re-raised when all attempts fail (default).
- True if raised exception should be returned, not re-raised.
- if callable, then on attempt exhaustion it'll be invoked with the
causing exception, and its return value will be returned.
This callable must always be synchronous.
jitter:
maximum value of deviation from the current_backoff.
- if a number, then jitter will be in the range (-value, value)
- if a (min, max) tuple then it defines the range to generate jitter from.
default: 0
max_backoff:
current_backoff = min(current_backoff, max_backoff).
disabled on 0. default: 0
on_exception:
defines callback(s) that should be invoked on failed attempts. Types can be:
- dict for exception type to callable|(callable, opt) mappings
- callable
- (callable, opts) tuple
The options modify the callback behavior:
- RUN_ON_LAST_TRY to invoke callback even if there are no attempts remaining
- BREAK_OUT to stop processing remaining callbacks when dict with
multiple exception types was given
Be aware if the decorated function is synchronous, on_exception function(s)
must be synchronous as well and vice versa: for async function they need
to be asynchronous. default: None
"""
Examples
decorator
from retry_deco import retry, OnErrOpts
@retry(retries=-1)
def make_trouble():
'''Retry until success, no sleep between attempts'''
@retry(ZeroDivisionError, retries=3, backoff=2)
def make_trouble():
'''Retry on ZeroDivisionError, raise error after 4 attempts,
sleep 2 seconds between attempts.'''
@retry((ValueError, TypeError), backoff=1, exponential_backoff=True)
def make_trouble():
'''Retry on ValueError or TypeError, sleep 1, 2, 8, 64, ... seconds between attempts.'''
@retry((ValueError, TypeError), backoff=3, exponential_backoff=True, max_backoff=1000)
def make_trouble():
'''Retry on ValueError or TypeError, sleep 3, 6, 24, 192, 1000, 1000 ... seconds between attempts.'''
@retry(Exception, on_exhaustion=True)
def make_trouble():
'''Retry on all Exceptions, retry only once. If no success, then causing
exception is returned'''
@retry(Exception, on_exhaustion=lambda ex: 12)
def make_trouble():
'''Retry on all Exceptions, retry only once. If no success, then 12 is returned'''
@retry(Exception, on_exception=lambda: do_something_between_tries())
def make_trouble():
'''Retry on all Exceptions, retry only once. Between attempts
do_something_between_tries() is invoked'''
@retry(Exception,
on_exception={
TypeError: lambda: print("called if TypeError was thrown"),
Exception: lambda: print("called if Exception was thrown")
})
def make_trouble():
'''Retry on all Exceptions, retry only once. Between attempts a callback is/are
invoked, depending on type of caught exceptions.
@retry(Exception,
on_exception={
TypeError: (lambda: print("called if TypeError was thrown"), OnErrOpts.BREAK_OUT),
Exception: lambda: print("called if Exception was thrown")
})
def make_trouble():
'''Same as above, but if caught exception is instance of TypeError, then
Exception's callback doesn't get invoked due to TypeError callback
having OnErrOpts.BREAK_OUT option bit set.
@retry(Exception,
on_exception={
TypeError: (lambda: print("called if TypeError was thrown"), OnErrOpts.RUN_ON_LAST_TRY),
Exception: lambda: print("called if Exception was thrown")
})
def make_trouble():
'''Similar to above, but this time the set option is OnErrOpts.RUN_ON_LAST_TRY.
This means TypeError callback will also be invoked on the very last
attempt failure, whereas Exception's callback won't.
@retry(Exception,
on_exception={
TypeError: (lambda: print("called if TypeError was thrown"), OnErrOpts.RUN_ON_LAST_TRY | OnErrOpts.BREAK_OUT),
Exception: lambda: print("called if Exception was thrown")
})
def make_trouble():
'''Similar to above, but this time TypeError callback has both options set.'''
instance
Similar to decorator, but allows for more programmatic usage.
from retry_deco import Retry
def make_trouble():
raise RuntimeError()
retry = Retry(retries=-1, backoff=1)
result = retry(make_trouble)
# retry instances can be reused:
result = retry(some_other_function)
# ...or invoked directly:
result = Retry(retries=2, backoff=2)(make_trouble)
Async instance:
import asyncio
from retry_deco import RetryAsync
async def make_trouble():
raise RuntimeError()
async def main():
retry = RetryAsync(retries=2, backoff=2)
result = await retry(make_trouble)
result = await retry(some_other_async_function)
asyncio.run(main())
Feel free to run the examples.py from the repo root.
Credits
This project is largely influenced & sourced from the projects listed below
Prior art
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