d08727effa
Support of python 2.7 was dropped during the Ussuri cycle so we can now drop six usages too. Change-Id: I56a9c0641fd9bce613943ff938d33178d263eedf
439 lines
18 KiB
Python
439 lines
18 KiB
Python
# Copyright 2010 United States Government as represented by the
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# Administrator of the National Aeronautics and Space Administration.
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# Copyright 2011 Justin Santa Barbara
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# All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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import functools
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import random
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import sys
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import time
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from eventlet import event
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from eventlet import greenthread
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from oslo_log import log as logging
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from oslo_utils import eventletutils
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from oslo_utils import excutils
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from oslo_utils import reflection
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from oslo_utils import timeutils
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from oslo_service._i18n import _
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LOG = logging.getLogger(__name__)
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class LoopingCallDone(Exception):
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"""Exception to break out and stop a LoopingCallBase.
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The poll-function passed to LoopingCallBase can raise this exception to
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break out of the loop normally. This is somewhat analogous to
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StopIteration.
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An optional return-value can be included as the argument to the exception;
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this return-value will be returned by LoopingCallBase.wait()
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"""
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def __init__(self, retvalue=True):
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""":param retvalue: Value that LoopingCallBase.wait() should return."""
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self.retvalue = retvalue
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class LoopingCallTimeOut(Exception):
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"""Exception for a timed out LoopingCall.
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The LoopingCall will raise this exception when a timeout is provided
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and it is exceeded.
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"""
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pass
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def _safe_wrapper(f, kind, func_name):
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"""Wrapper that calls into wrapped function and logs errors as needed."""
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def func(*args, **kwargs):
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try:
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return f(*args, **kwargs)
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except LoopingCallDone:
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raise # let the outer handler process this
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except Exception:
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LOG.error('%(kind)s %(func_name)r failed',
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{'kind': kind, 'func_name': func_name},
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exc_info=True)
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return 0
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return func
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class LoopingCallBase(object):
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_KIND = _("Unknown looping call")
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_RUN_ONLY_ONE_MESSAGE = _("A looping call can only run one function"
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" at a time")
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def __init__(self, f=None, *args, **kw):
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self.args = args
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self.kw = kw
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self.f = f
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self._thread = None
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self.done = None
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self._abort = eventletutils.EventletEvent()
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@property
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def _running(self):
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return not self._abort.is_set()
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def stop(self):
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if self._running:
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self._abort.set()
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def wait(self):
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return self.done.wait()
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def _on_done(self, gt, *args, **kwargs):
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self._thread = None
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def _sleep(self, timeout):
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self._abort.wait(timeout)
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def _start(self, idle_for, initial_delay=None, stop_on_exception=True):
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"""Start the looping
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:param idle_for: Callable that takes two positional arguments, returns
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how long to idle for. The first positional argument is
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the last result from the function being looped and the
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second positional argument is the time it took to
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calculate that result.
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:param initial_delay: How long to delay before starting the looping.
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Value is in seconds.
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:param stop_on_exception: Whether to stop if an exception occurs.
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:returns: eventlet event instance
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"""
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if self._thread is not None:
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raise RuntimeError(self._RUN_ONLY_ONE_MESSAGE)
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self.done = event.Event()
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self._abort.clear()
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self._thread = greenthread.spawn(
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self._run_loop, idle_for,
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initial_delay=initial_delay, stop_on_exception=stop_on_exception)
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self._thread.link(self._on_done)
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return self.done
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# NOTE(bnemec): This is just a wrapper function we can mock so we aren't
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# affected by other users of the StopWatch class.
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def _elapsed(self, watch):
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return watch.elapsed()
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def _run_loop(self, idle_for_func,
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initial_delay=None, stop_on_exception=True):
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kind = self._KIND
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func_name = reflection.get_callable_name(self.f)
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func = self.f if stop_on_exception else _safe_wrapper(self.f, kind,
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func_name)
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if initial_delay:
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self._sleep(initial_delay)
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try:
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watch = timeutils.StopWatch()
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while self._running:
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watch.restart()
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result = func(*self.args, **self.kw)
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watch.stop()
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if not self._running:
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break
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idle = idle_for_func(result, self._elapsed(watch))
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LOG.trace('%(kind)s %(func_name)r sleeping '
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'for %(idle).02f seconds',
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{'func_name': func_name, 'idle': idle,
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'kind': kind})
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self._sleep(idle)
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except LoopingCallDone as e:
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self.done.send(e.retvalue)
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except Exception:
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exc_info = sys.exc_info()
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try:
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LOG.error('%(kind)s %(func_name)r failed',
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{'kind': kind, 'func_name': func_name},
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exc_info=exc_info)
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self.done.send_exception(*exc_info)
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finally:
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del exc_info
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return
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else:
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self.done.send(True)
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class FixedIntervalLoopingCall(LoopingCallBase):
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"""A fixed interval looping call."""
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_RUN_ONLY_ONE_MESSAGE = _("A fixed interval looping call can only run"
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" one function at a time")
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_KIND = _('Fixed interval looping call')
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def start(self, interval, initial_delay=None, stop_on_exception=True):
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def _idle_for(result, elapsed):
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delay = round(elapsed - interval, 2)
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if delay > 0:
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func_name = reflection.get_callable_name(self.f)
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LOG.warning('Function %(func_name)r run outlasted '
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'interval by %(delay).2f sec',
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{'func_name': func_name, 'delay': delay})
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return -delay if delay < 0 else 0
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return self._start(_idle_for, initial_delay=initial_delay,
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stop_on_exception=stop_on_exception)
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class FixedIntervalWithTimeoutLoopingCall(LoopingCallBase):
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"""A fixed interval looping call with timeout checking mechanism."""
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_RUN_ONLY_ONE_MESSAGE = _("A fixed interval looping call with timeout"
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" checking and can only run one function at"
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" at a time")
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_KIND = _('Fixed interval looping call with timeout checking.')
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def start(self, interval, initial_delay=None,
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stop_on_exception=True, timeout=0):
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start_time = time.time()
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def _idle_for(result, elapsed):
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delay = round(elapsed - interval, 2)
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if delay > 0:
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func_name = reflection.get_callable_name(self.f)
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LOG.warning('Function %(func_name)r run outlasted '
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'interval by %(delay).2f sec',
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{'func_name': func_name, 'delay': delay})
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elapsed_time = time.time() - start_time
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if timeout > 0 and elapsed_time > timeout:
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raise LoopingCallTimeOut(
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_('Looping call timed out after %.02f seconds')
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% elapsed_time)
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return -delay if delay < 0 else 0
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return self._start(_idle_for, initial_delay=initial_delay,
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stop_on_exception=stop_on_exception)
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class DynamicLoopingCall(LoopingCallBase):
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"""A looping call which sleeps until the next known event.
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The function called should return how long to sleep for before being
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called again.
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"""
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_RUN_ONLY_ONE_MESSAGE = _("A dynamic interval looping call can only run"
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" one function at a time")
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_TASK_MISSING_SLEEP_VALUE_MESSAGE = _(
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"A dynamic interval looping call should supply either an"
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" interval or periodic_interval_max"
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)
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_KIND = _('Dynamic interval looping call')
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def start(self, initial_delay=None, periodic_interval_max=None,
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stop_on_exception=True):
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def _idle_for(suggested_delay, elapsed):
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delay = suggested_delay
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if delay is None:
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if periodic_interval_max is not None:
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delay = periodic_interval_max
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else:
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# Note(suro-patz): An application used to receive a
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# TypeError thrown from eventlet layer, before
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# this RuntimeError was introduced.
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raise RuntimeError(
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self._TASK_MISSING_SLEEP_VALUE_MESSAGE)
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else:
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if periodic_interval_max is not None:
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delay = min(delay, periodic_interval_max)
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return delay
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return self._start(_idle_for, initial_delay=initial_delay,
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stop_on_exception=stop_on_exception)
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class BackOffLoopingCall(LoopingCallBase):
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"""Run a method in a loop with backoff on error.
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The passed in function should return True (no error, return to
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initial_interval),
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False (error, start backing off), or raise LoopingCallDone(retvalue=None)
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(quit looping, return retvalue if set).
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When there is an error, the call will backoff on each failure. The
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backoff will be equal to double the previous base interval times some
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jitter. If a backoff would put it over the timeout, it halts immediately,
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so the call will never take more than timeout, but may and likely will
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take less time.
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When the function return value is True or False, the interval will be
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multiplied by a random jitter. If min_jitter or max_jitter is None,
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there will be no jitter (jitter=1). If min_jitter is below 0.5, the code
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may not backoff and may increase its retry rate.
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If func constantly returns True, this function will not return.
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To run a func and wait for a call to finish (by raising a LoopingCallDone):
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timer = BackOffLoopingCall(func)
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response = timer.start().wait()
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:param initial_delay: delay before first running of function
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:param starting_interval: initial interval in seconds between calls to
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function. When an error occurs and then a
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success, the interval is returned to
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starting_interval
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:param timeout: time in seconds before a LoopingCallTimeout is raised.
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The call will never take longer than timeout, but may quit
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before timeout.
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:param max_interval: The maximum interval between calls during errors
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:param jitter: Used to vary when calls are actually run to avoid group of
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calls all coming at the exact same time. Uses
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random.gauss(jitter, 0.1), with jitter as the mean for the
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distribution. If set below .5, it can cause the calls to
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come more rapidly after each failure.
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:param min_interval: The minimum interval in seconds between calls to
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function.
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:raises: LoopingCallTimeout if time spent doing error retries would exceed
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timeout.
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"""
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_RNG = random.SystemRandom()
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_KIND = _('Dynamic backoff interval looping call')
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_RUN_ONLY_ONE_MESSAGE = _("A dynamic backoff interval looping call can"
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" only run one function at a time")
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def __init__(self, f=None, *args, **kw):
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super(BackOffLoopingCall, self).__init__(f=f, *args, **kw)
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self._error_time = 0
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self._interval = 1
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def start(self, initial_delay=None, starting_interval=1, timeout=300,
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max_interval=300, jitter=0.75, min_interval=0.001):
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if self._thread is not None:
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raise RuntimeError(self._RUN_ONLY_ONE_MESSAGE)
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# Reset any prior state.
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self._error_time = 0
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self._interval = starting_interval
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def _idle_for(success, _elapsed):
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random_jitter = abs(self._RNG.gauss(jitter, 0.1))
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if success:
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# Reset error state now that it didn't error...
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self._interval = starting_interval
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self._error_time = 0
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return self._interval * random_jitter
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else:
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# Perform backoff, random jitter around the next interval
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# bounded by min_interval and max_interval.
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idle = max(self._interval * 2 * random_jitter, min_interval)
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idle = min(idle, max_interval)
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# Calculate the next interval based on the mean, so that the
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# backoff grows at the desired rate.
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self._interval = max(self._interval * 2 * jitter, min_interval)
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# Don't go over timeout, end early if necessary. If
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# timeout is 0, keep going.
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if timeout > 0 and self._error_time + idle > timeout:
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raise LoopingCallTimeOut(
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_('Looping call timed out after %.02f seconds')
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% self._error_time)
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self._error_time += idle
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return idle
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return self._start(_idle_for, initial_delay=initial_delay)
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class RetryDecorator(object):
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"""Decorator for retrying a function upon suggested exceptions.
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The decorated function is retried for the given number of times, and the
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sleep time between the retries is incremented until max sleep time is
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reached. If the max retry count is set to -1, then the decorated function
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is invoked indefinitely until an exception is thrown, and the caught
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exception is not in the list of suggested exceptions.
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"""
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def __init__(self, max_retry_count=-1, inc_sleep_time=10,
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max_sleep_time=60, exceptions=()):
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"""Configure the retry object using the input params.
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:param max_retry_count: maximum number of times the given function must
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be retried when one of the input 'exceptions'
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is caught. When set to -1, it will be retried
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indefinitely until an exception is thrown
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and the caught exception is not in param
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exceptions.
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:param inc_sleep_time: incremental time in seconds for sleep time
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between retries
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:param max_sleep_time: max sleep time in seconds beyond which the sleep
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time will not be incremented using param
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inc_sleep_time. On reaching this threshold,
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max_sleep_time will be used as the sleep time.
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:param exceptions: suggested exceptions for which the function must be
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retried, if no exceptions are provided (the default)
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then all exceptions will be reraised, and no
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retrying will be triggered.
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"""
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self._max_retry_count = max_retry_count
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self._inc_sleep_time = inc_sleep_time
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self._max_sleep_time = max_sleep_time
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self._exceptions = exceptions
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self._retry_count = 0
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self._sleep_time = 0
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def __call__(self, f):
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func_name = reflection.get_callable_name(f)
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def _func(*args, **kwargs):
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result = None
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try:
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if self._retry_count:
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LOG.debug("Invoking %(func_name)s; retry count is "
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"%(retry_count)d.",
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{'func_name': func_name,
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'retry_count': self._retry_count})
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result = f(*args, **kwargs)
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except self._exceptions:
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with excutils.save_and_reraise_exception() as ctxt:
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LOG.debug("Exception which is in the suggested list of "
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"exceptions occurred while invoking function:"
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" %s.",
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func_name)
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if (self._max_retry_count != -1 and
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self._retry_count >= self._max_retry_count):
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LOG.debug("Cannot retry %(func_name)s upon "
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"suggested exception "
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"since retry count (%(retry_count)d) "
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"reached max retry count "
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"(%(max_retry_count)d).",
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{'retry_count': self._retry_count,
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'max_retry_count': self._max_retry_count,
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'func_name': func_name})
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else:
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ctxt.reraise = False
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self._retry_count += 1
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self._sleep_time += self._inc_sleep_time
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return self._sleep_time
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raise LoopingCallDone(result)
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@functools.wraps(f)
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def func(*args, **kwargs):
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loop = DynamicLoopingCall(_func, *args, **kwargs)
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evt = loop.start(periodic_interval_max=self._max_sleep_time)
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LOG.debug("Waiting for function %s to return.", func_name)
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return evt.wait()
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return func
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