Source code for ironic_python_agent.backoff
# Copyright 2014 Rackspace, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
import random
import sys
from eventlet import event
from eventlet import greenthread
from oslo_log import log
from oslo_service import loopingcall
LOG = log.getLogger(__name__)
# TODO(JoshNang) move to oslo, i18n
[docs]class LoopingCallTimeOut(Exception):
"""Exception for a timed out LoopingCall.
The LoopingCall will raise this exception when a timeout is provided
and it is exceeded.
"""
pass
[docs]class BackOffLoopingCall(loopingcall.LoopingCallBase):
"""Run a method in a loop with backoff on error.
The passed in function should return True (no error, return to
initial_interval),
False (error, start backing off), or raise LoopingCallDone(retvalue=None)
(quit looping, return retvalue if set).
When there is an error, the call will backoff on each failure. The
backoff will be equal to double the previous base interval times some
jitter. If a backoff would put it over the timeout, it halts immediately,
so the call will never take more than timeout, but may and likely will
take less time.
When the function return value is True or False, the interval will be
multiplied by a random jitter. If min_jitter or max_jitter is None,
there will be no jitter (jitter=1). If min_jitter is below 0.5, the code
may not backoff and may increase its retry rate.
If func constantly returns True, this function will not return.
To run a func and wait for a call to finish (by raising a LoopingCallDone):
timer = BackOffLoopingCall(func)
response = timer.start().wait()
:param initial_delay: delay before first running of function
:param starting_interval: initial interval in seconds between calls to
function. When an error occurs and then a
success, the interval is returned to
starting_interval
:param timeout: time in seconds before a LoopingCallTimeout is raised.
The call will never take longer than timeout, but may quit
before timeout.
:param max_interval: The maximum interval between calls during errors
:param jitter: Used to vary when calls are actually run to avoid group of
calls all coming at the exact same time. Uses
random.gauss(jitter, 0.1), with jitter as the mean for the
distribution. If set below .5, it can cause the calls to
come more rapidly after each failure.
:raises: LoopingCallTimeout if time spent doing error retries would exceed
timeout.
"""
[docs] def start(self, initial_delay=None, starting_interval=1, timeout=300,
max_interval=300, jitter=0.75):
self._running = True
done = event.Event()
def _inner():
interval = starting_interval
error_time = 0
if initial_delay:
greenthread.sleep(initial_delay)
try:
while self._running:
no_error = self.f(*self.args, **self.kw)
if not self._running:
break
random_jitter = random.gauss(jitter, 0.1)
if no_error:
# Reset error state
error_time = 0
interval = starting_interval
idle = interval * random_jitter
else:
# Backoff
interval = min(interval * 2 * random_jitter,
max_interval)
idle = interval
# Don't go over timeout, end early if necessary. If
# timeout is 0, keep going.
if timeout > 0 and error_time + idle > timeout:
raise LoopingCallTimeOut(
'Looping call timed out after %.02f seconds'
% error_time)
error_time += idle
LOG.debug('Dynamic looping call sleeping for %.02f '
'seconds', idle)
greenthread.sleep(idle)
except loopingcall.LoopingCallDone as e:
self.stop()
done.send(e.retvalue)
except Exception:
LOG.exception('in dynamic looping call')
done.send_exception(*sys.exc_info())
return
else:
done.send(True)
self.done = done
greenthread.spawn(_inner)
return self.done