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Current Path : /var/opt/nydus/ops/primordial/

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Current File : //var/opt/nydus/ops/primordial/flow.py

# -*- coding: utf-8 -*-

import logging
from time import sleep
from typing import Any, Callable, Tuple, Type, Union


DELAY_INCREASE_SECS = 1.0
MAX_RETRIES = 3
LOGGER = logging.getLogger(__name__)


class RetryError(Exception):
    """A special type which signals the failure of a retry loop."""


def wait_for_true(test_function: Callable, max_tests: int = 10, sleep_secs: float = 0.5, count_trues: int = 3) -> Any:
    """Attempt test_function over and over, waiting for a true value.

    Try a maximum of max_tests times.  Sleep sleep_secs in between each test.  Receive count_trues before moving on.

    wait_for_true is designed specifically to handle a design principle behind AWS or other clustered services: that you
    might succeed when making a request once and then fail very soon after. For example, when you make a REST API call
    against S3 to see if a bucket exists, the fact that you get a "True" response does not guarantee that you will get
    that same response to a request made very soon after.  In other words, it's for cases in which the goal is to
    produce a wait time for an eventually consistent external service to resolve your request.

    That's why wait_for_true lets you specify a threshold of how many trues you want to get before you're satisfied.

    :param test_function: a function to run whose result we will test for truthiness
    :param max_tests: limit to how many times we'll try test_function
    :param sleep_secs: how long to wait between tests
    :param count_trues: how many true results we need until we're totally true; this is useful with e.g. cluster
        tests, where we want a quorum of true answers before we're happy that the entire cluster is consistent (e.g.
        s3 put)
    :returns: the return value of the test function, the number of time it tried, and how many true results it found
    :raises RetryError: if the function "never" returned sufficiently many trues
    """
    itercount = 0
    ret = None
    trues = 0
    if count_trues > max_tests:
        LOGGER.warning("count_trues > max_tests, bumping max_tests to count_trues")
        max_tests = count_trues
    while itercount < max_tests:
        ret = test_function()
        if ret is True:
            trues += 1
            if trues >= count_trues:
                break
        itercount += 1
        sleep(sleep_secs)
    if trues < count_trues:
        raise RetryError("wait_for_true never succeeded %s times for function %s" % (count_trues, test_function))
    return ret, itercount, trues


def retry(action_function: Callable,
          sleep_secs: float = 1.0,
          backoff: Callable = lambda x: x + DELAY_INCREASE_SECS,
          max_attempts: int = MAX_RETRIES,
          exceptions_to_ignore: Union[Type[Exception], Tuple[Type[Exception]]] = Exception) -> Any:
    """Retry an e.g. network connection until it doesn't throw an exception of any kind.

    This is for single-success retry cases (e.g. wow, that TCP connection didn't get established because of high
    latency, let's dial back and try again in a bit).

    The action_function is expected to be of a sort that any expected exceptions are caught, as this will retry
    under /any/ exception.  The return value, if any, from the action_function is returned by retry on success.
    sleep_secs is the number of seconds to sleep between failures, and backoff defaults to adding DELAY_INCREASE_SECS
    to the prior value each time.  max_attempts is the limit of the number of retries in any case.

    On failure to complete the action_function without exception, raises RetryError.

    :param action_function: a function to run that we will retry if it raises any exception
    :param sleep_secs: how long to wait between tries
    :param backoff: a function that will expand the sleep duration based on what iteration we are on
    :param max_attempts: limit to how many times we'll try action_function
    :param exceptions_to_ignore: exception type or types to ignore; by default, ignores all Exception-derived
        exceptions
    :returns: the return value of the test function, the number of time it tried, and how many true results it found
    :raises RetryError: if the function "never" returned without an exception
    """
    attempts = 0
    while attempts < max_attempts:
        try:
            return action_function()
        except exceptions_to_ignore as e:  # pylint: disable=W0703
            attempts += 1
            if attempts >= max_attempts:
                raise RetryError("Failure to retry %s: %s" % (action_function, str(e))) from e
            LOGGER.debug("retry: pausing %s secs before retrying %s (%s)", sleep_secs, action_function, str(e))
            sleep(sleep_secs)
            sleep_secs = backoff(sleep_secs)

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