Skip to main content

qaviton handlers

Project description

Qaviton Handlers

logo
version license open issues downloads code size

error handling utilities

Installation

pip install --upgrade qaviton_handlers  

Requirements

  • Python 3.6+

Features

  • retry decorator ✓
  • retry with context ✓
  • try functions ✓
  • catch errors ✓
  • simple Exception wrapper ✓

Usage

def retry(tries=3, delay=0, backoff=1, jitter=0, max_delay=None, exceptions=Exception, logger: Logger = log):
    """Retry function decorator \ try a context of actions until attempts run out
    :param exceptions: an exception or a tuple of exceptions to catch. default: Exception.
    :param tries: the maximum number of attempts: -1 (infinite).
    :param delay: initial delay between attempts. default: 0.
    :param max_delay: the maximum value of delay. default: None (no limit).
    :param backoff: multiplier applied to delay between attempts. default: 1 (no backoff).
                    fixed if a number, random if a range tuple (min, max), functional if callable (function must receive **kwargs)
    :param jitter: extra seconds added to delay between attempts. default: 0.
                   fixed if a number, random if a range tuple (min, max), functional if callable (function must receive **kwargs)
    :param logger: logger.warning(fmt, error, delay) will be called on failed attempts.
                   default: retry.logging_logger. if None, logging is disabled."""

retry decorator

from qaviton_handlers.try_decorator import retry

@retry()
def foo():
    n = int('1'+input('select number:'))
    print(n)

foo()

retry with context

from qaviton_handlers.try_context import retry

with retry() as trying:
    while trying:
        with trying:
            print("Attempt #%d of %d" % (trying.attempt, trying.attempts))
            raise

using different try wrapper functions

from qaviton_handlers.try_functions import try_to, try_or_none, multi_try, multi_try_no_break

def foo(a=0):
    print(float(a+input("select number:")))

# simply try
try_to(foo, 1)
try_to(foo, 2)
try_to(foo, 3)
# get the error
error = try_to(foo, 4)
if error: print(error)

# if error occurred
if try_to(foo, 5):
    try_to(foo, 5)
# try with key arguments
r = try_to(lambda a,b,c:a*b*c, 1,kwargs={'b':2,'c':3})
print(r)
# try to get a number
number = try_or_none(lambda a:float(a+input("select number:")), 6)
if number: print(number)
# try many functions, return a list of results, or an error
# if an error occurred, the multi try stops
multi_try(
  lambda: foo(10), 
  lambda: foo(11), 
)

# specify errors to ignore
response = multi_try(
  lambda: foo(13),
  lambda: foo(14),
  exceptions=Exception,
)

# handle the error
response = multi_try(
  lambda: foo(13),
  lambda: foo(14),
)
if isinstance(response, Exception):
    ...
# try many functions, return a list of results, some may be errors
# if an error occurred, the multi try continues
multi_try_no_break(
    lambda: foo(8),
    lambda: foo(9),
    lambda: foo(0),
)

ignore errors now so you can handle them later

from qaviton_handlers.catch import Catch
from qaviton_handlers.utils.error import Error

catch = Catch(store=True)

# catch an error
try:
    1 + '1'
except Exception as e:
    catch(e)

# a cleaner syntax
with catch:
    1 + '1'
    2 + '2'

# ignore the error
with Catch():
    5 * 'e'

print(f"caught {catch.count} errors")
print(f"caught first {catch.first}")
print(f"caught last {catch.last}")

# make your own Catch
class MyCatch(Catch):
    def handler(self, e):
        self.stack.add(Error(e))
        if self.log:
            self.log.warning(f"I caught {e}")
        return self

Project details


Download files

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

Source Distribution

Built Distribution

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page