b5bf227db4
This oslo-incubator sync pulls in a new log.py which will make quantum's default log output format the same as nova, glance and cinder (once cinder's corresponding oslo sync merges). This common log format simplifies log indexing as part of CI and makes lives easier for deployers. This sync does add a requirement on six as jsonutils depends on it. It updates install_venv_common.py to be python26 compatible. It also brings in a bunch of recent python3 compatibility that was added to oslo. Fixes bug 1183144 Change-Id: Id0f196d7b5680e5950e4a27d66042bf00ccd49e6
189 lines
6.8 KiB
Python
189 lines
6.8 KiB
Python
# vim: tabstop=4 shiftwidth=4 softtabstop=4
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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 datetime
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import time
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from oslo.config import cfg
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from quantum.openstack.common.gettextutils import _
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from quantum.openstack.common import log as logging
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from quantum.openstack.common import timeutils
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periodic_opts = [
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cfg.BoolOpt('run_external_periodic_tasks',
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default=True,
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help=('Some periodic tasks can be run in a separate process. '
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'Should we run them here?')),
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]
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CONF = cfg.CONF
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CONF.register_opts(periodic_opts)
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LOG = logging.getLogger(__name__)
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DEFAULT_INTERVAL = 60.0
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class InvalidPeriodicTaskArg(Exception):
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message = _("Unexpected argument for periodic task creation: %(arg)s.")
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def periodic_task(*args, **kwargs):
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"""Decorator to indicate that a method is a periodic task.
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This decorator can be used in two ways:
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1. Without arguments '@periodic_task', this will be run on every cycle
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of the periodic scheduler.
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2. With arguments:
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@periodic_task(spacing=N [, run_immediately=[True|False]])
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this will be run on approximately every N seconds. If this number is
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negative the periodic task will be disabled. If the run_immediately
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argument is provided and has a value of 'True', the first run of the
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task will be shortly after task scheduler starts. If
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run_immediately is omitted or set to 'False', the first time the
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task runs will be approximately N seconds after the task scheduler
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starts.
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"""
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def decorator(f):
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# Test for old style invocation
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if 'ticks_between_runs' in kwargs:
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raise InvalidPeriodicTaskArg(arg='ticks_between_runs')
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# Control if run at all
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f._periodic_task = True
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f._periodic_external_ok = kwargs.pop('external_process_ok', False)
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if f._periodic_external_ok and not CONF.run_external_periodic_tasks:
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f._periodic_enabled = False
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else:
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f._periodic_enabled = kwargs.pop('enabled', True)
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# Control frequency
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f._periodic_spacing = kwargs.pop('spacing', 0)
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f._periodic_immediate = kwargs.pop('run_immediately', False)
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if f._periodic_immediate:
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f._periodic_last_run = None
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else:
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f._periodic_last_run = timeutils.utcnow()
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return f
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# NOTE(sirp): The `if` is necessary to allow the decorator to be used with
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# and without parens.
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#
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# In the 'with-parens' case (with kwargs present), this function needs to
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# return a decorator function since the interpreter will invoke it like:
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#
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# periodic_task(*args, **kwargs)(f)
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#
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# In the 'without-parens' case, the original function will be passed
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# in as the first argument, like:
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#
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# periodic_task(f)
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if kwargs:
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return decorator
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else:
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return decorator(args[0])
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class _PeriodicTasksMeta(type):
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def __init__(cls, names, bases, dict_):
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"""Metaclass that allows us to collect decorated periodic tasks."""
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super(_PeriodicTasksMeta, cls).__init__(names, bases, dict_)
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# NOTE(sirp): if the attribute is not present then we must be the base
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# class, so, go ahead an initialize it. If the attribute is present,
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# then we're a subclass so make a copy of it so we don't step on our
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# parent's toes.
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try:
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cls._periodic_tasks = cls._periodic_tasks[:]
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except AttributeError:
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cls._periodic_tasks = []
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try:
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cls._periodic_last_run = cls._periodic_last_run.copy()
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except AttributeError:
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cls._periodic_last_run = {}
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try:
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cls._periodic_spacing = cls._periodic_spacing.copy()
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except AttributeError:
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cls._periodic_spacing = {}
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for value in cls.__dict__.values():
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if getattr(value, '_periodic_task', False):
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task = value
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name = task.__name__
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if task._periodic_spacing < 0:
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LOG.info(_('Skipping periodic task %(task)s because '
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'its interval is negative'),
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{'task': name})
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continue
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if not task._periodic_enabled:
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LOG.info(_('Skipping periodic task %(task)s because '
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'it is disabled'),
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{'task': name})
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continue
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# A periodic spacing of zero indicates that this task should
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# be run every pass
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if task._periodic_spacing == 0:
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task._periodic_spacing = None
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cls._periodic_tasks.append((name, task))
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cls._periodic_spacing[name] = task._periodic_spacing
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cls._periodic_last_run[name] = task._periodic_last_run
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class PeriodicTasks(object):
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__metaclass__ = _PeriodicTasksMeta
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def run_periodic_tasks(self, context, raise_on_error=False):
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"""Tasks to be run at a periodic interval."""
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idle_for = DEFAULT_INTERVAL
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for task_name, task in self._periodic_tasks:
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full_task_name = '.'.join([self.__class__.__name__, task_name])
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now = timeutils.utcnow()
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spacing = self._periodic_spacing[task_name]
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last_run = self._periodic_last_run[task_name]
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# If a periodic task is _nearly_ due, then we'll run it early
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if spacing is not None and last_run is not None:
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due = last_run + datetime.timedelta(seconds=spacing)
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if not timeutils.is_soon(due, 0.2):
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idle_for = min(idle_for, timeutils.delta_seconds(now, due))
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continue
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if spacing is not None:
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idle_for = min(idle_for, spacing)
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LOG.debug(_("Running periodic task %(full_task_name)s"), locals())
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self._periodic_last_run[task_name] = timeutils.utcnow()
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try:
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task(self, context)
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except Exception as e:
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if raise_on_error:
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raise
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LOG.exception(_("Error during %(full_task_name)s: %(e)s"),
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locals())
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time.sleep(0)
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return idle_for
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