Python retrying.Retrying方法代码示例

# 需要导入模块: import retrying [as 别名]
# 或者: from retrying import Retrying [as 别名]
def retry_on_exception(*args):
    """Takes a list of exceptions to retry on and retries, will automatically unpack ActivityTaskFailedError exceptions

    :param *args: exception classes to retry on
    :type *args: Iterable
    :rtype: function
    :return: callable function to be used with retry_on_exception in Retrying
    """
    def _retry_exceptions(exception):

        if isinstance(exception, ActivityTaskFailedError):
            exception = exception.cause

        if isinstance(exception, args):
            return True

        return False

    return _retry_exceptions 

# 需要导入模块: import retrying [as 别名]
# 或者: from retrying import Retrying [as 别名]
def initialized_retry(*dargs, **dkw):
    def wrap(f):
        @wraps(f)
        def wrapped_f(*args, **kw):
            if _retry_init:
                rargs, rkw = _retry_init(dargs, dkw)
            else:
                rargs, rkw = dargs, dkw
            return Retrying(*rargs, **rkw).call(_warn_about_exceptions(f), *args, **kw)

        return wrapped_f

    return wrap

# for operations that shouldn't take longer than a few seconds (e.g. HTTP request)
# will retry after 2s, 4s, 8s, 10s, 10s, 10s ... until the 10th attempt 

# 需要导入模块: import retrying [as 别名]
# 或者: from retrying import Retrying [as 别名]
def __init__(self, stop_max_attempt_number=None, stop_max_delay=None, wait_fixed=None,
                 wait_random_min=None, wait_random_max=None, wait_incrementing_start=None,
                 wait_incrementing_increment=None, wait_exponential_multiplier=None, wait_exponential_max=None,
                 retry_on_exception=None, retry_on_result=None, wrap_exception=False, stop_func=None, wait_func=None):

        super(Retrying, self).__init__(stop=stop_func, wait=wait_func, stop_max_attempt_number=stop_max_attempt_number,
                                       stop_max_delay=stop_max_delay, wait_fixed=wait_fixed,
                                       wait_random_min=wait_random_min,
                                       wait_random_max=wait_random_max, wait_incrementing_start=wait_incrementing_start,
                                       wait_incrementing_increment=wait_incrementing_increment,
                                       wait_exponential_multiplier=wait_exponential_multiplier,
                                       wait_exponential_max=wait_exponential_max, retry_on_exception=retry_on_exception,
                                       retry_on_result=retry_on_result,
                                       wrap_exception=wrap_exception,
                                       stop_func=stop_func, wait_func=wait_func)

        # unfortunately retrying uses ms everywhere and we are using seconds (as in floats 0.5 is valid)
        # to remain consistent with botoflow, we fix all the times before passing the to retrying

        self._stop_max_attempt_number = 3 if stop_max_attempt_number is None else stop_max_attempt_number
        self._stop_max_delay = 1000 if stop_max_delay is None else int(stop_max_delay * 1000)
        self._wait_fixed = 1000 if wait_fixed is None else int(wait_fixed * 1000)
        self._wait_random_min = 0 if wait_random_min is None else int(wait_random_min * 1000)
        self._wait_random_max = 1000 if wait_random_max is None else int(wait_random_max * 1000)
        self._wait_incrementing_start = 0 if wait_incrementing_start is None else int(wait_incrementing_start * 1000)
        self._wait_incrementing_increment = (1000 if wait_incrementing_increment is None
                                             else int(wait_incrementing_increment * 1000))
        self._wait_exponential_multiplier = (1 if wait_exponential_multiplier is None
                                             else int(wait_exponential_multiplier * 1000))
        self._wait_exponential_max = (retrying.MAX_WAIT if wait_exponential_max is None
                                      else int(wait_exponential_max * 1000)) 

# 需要导入模块: import retrying [as 别名]
# 或者: from retrying import Retrying [as 别名]
def _warn_about_exceptions(f, *args, **kw):
    try:
        return f(*args, **kw)
    except Exception as e:
        logging.warning("Retrying: {} (message was: {})".format(
            f.__name__, str(e)))
        raise 

# 需要导入模块: import retrying [as 别名]
# 或者: from retrying import Retrying [as 别名]
def retry_generator(fn=None, max_retries=8, retry_multiplier=5.0, *args, **kwargs):
    @decorator
    def _decor_(fn, *args, **kwargs):
        """
        Retry a generator. The if you don't expect already yielded items to be
        yielded again, the generator will need to keep state about what items have
        already been successfully yielded.
        """
        for retry in range(1, max_retries + 1):
            try:
                generator = fn(*args, **kwargs)
                if not isinstance(generator, GeneratorType):
                    msg = "@retry_generator cannot be used in non-generator functions"
                    raise NonGeneratorError(msg)

                for i in generator:
                    yield i
            except (StopIteration, NonGeneratorError):
                raise
            except Exception as e:
                if retry < max_retries:
                    logging.warning("Retrying: {} (message was: {})".format(
                        fn.__name__, str(e)))
                    time.sleep(retry * retry_multiplier)
                else:
                    raise
            else:
                break

    return _decor_(fn, *args, **kwargs) if fn is not None else _decor_ 

# 需要导入模块: import retrying [as 别名]
# 或者: from retrying import Retrying [as 别名]
def retry(method_to_check, retry_timeout=RETRY_TIMEOUT,
              retry_interval=RETRY_INTERVAL):
        return Retrying(stop_max_delay=retry_timeout * 1000,
                        wait_fixed=retry_interval * 1000).call(method_to_check) 

# 需要导入模块: import retrying [as 别名]
# 或者: from retrying import Retrying [as 别名]
def db_func_with_retry(db_func, *args, **kwargs):
    """
    This method is a generic retry function to support database setup and cleanup.
    """
    # Using as an annotation would be nice but annotations are evaluated at import
    # time and simple ways to use the annotation means the config gets read before
    # it is setup. Likely there is a way to use some proxies to delay the actual
    # reading of config values however this is lesser code.
    retrying_obj = retrying.Retrying(
        retry_on_exception=_retry_if_connection_error,
        wait_exponential_multiplier=cfg.CONF.database.connection_retry_backoff_mul * 1000,
        wait_exponential_max=cfg.CONF.database.connection_retry_backoff_max_s * 1000,
        stop_max_delay=cfg.CONF.database.connection_retry_max_delay_m * 60 * 1000
    )
    return retrying_obj.call(db_func, *args, **kwargs) 

# 需要导入模块: import retrying [as 别名]
# 或者: from retrying import Retrying [as 别名]
def register_exchanges_with_retry():
    def retry_if_io_error(exception):
        return isinstance(exception, socket.error)

    retrying_obj = retrying.Retrying(
        retry_on_exception=retry_if_io_error,
        wait_fixed=cfg.CONF.messaging.connection_retry_wait,
        stop_max_attempt_number=cfg.CONF.messaging.connection_retries
    )
    return retrying_obj.call(register_exchanges) 

# 需要导入模块: import retrying [as 别名]
# 或者: from retrying import Retrying [as 别名]
def _get(self, url, package):
        retry = Retrying(wait_exponential_multiplier=2000, wait_exponential_max=120000,
            retry_on_exception=_retry_msg)

        return retry.call(requests.get, url % package)