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486 lines
17 KiB
Python
486 lines
17 KiB
Python
import sys
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import os
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import errno
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import random
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import time
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import times
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try:
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from procname import setprocname
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except ImportError:
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def setprocname(*args, **kwargs): # noqa
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pass
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import socket
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import signal
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import traceback
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import logging
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from cPickle import dumps
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from .queue import Queue, get_failed_queue
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from .connections import get_current_connection
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from .job import Job, Status
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from .utils import make_colorizer
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from .logutils import setup_loghandlers
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from .exceptions import NoQueueError, UnpickleError, DequeueTimeout
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from .timeouts import death_penalty_after
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from .version import VERSION
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green = make_colorizer('darkgreen')
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yellow = make_colorizer('darkyellow')
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blue = make_colorizer('darkblue')
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DEFAULT_WORKER_TTL = 420
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DEFAULT_RESULT_TTL = 500
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logger = logging.getLogger(__name__)
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class StopRequested(Exception):
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pass
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def iterable(x):
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return hasattr(x, '__iter__')
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def compact(l):
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return [x for x in l if x is not None]
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_signames = dict((getattr(signal, signame), signame) \
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for signame in dir(signal) \
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if signame.startswith('SIG') and '_' not in signame)
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def signal_name(signum):
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# Hackety-hack-hack: is there really no better way to reverse lookup the
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# signal name? If you read this and know a way: please provide a patch :)
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try:
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return _signames[signum]
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except KeyError:
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return 'SIG_UNKNOWN'
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class Worker(object):
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redis_worker_namespace_prefix = 'rq:worker:'
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redis_workers_keys = 'rq:workers'
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@classmethod
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def all(cls, connection=None):
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"""Returns an iterable of all Workers.
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"""
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if connection is None:
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connection = get_current_connection()
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reported_working = connection.smembers(cls.redis_workers_keys)
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workers = [cls.find_by_key(key, connection) for key in
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reported_working]
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return compact(workers)
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@classmethod
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def find_by_key(cls, worker_key, connection=None):
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"""Returns a Worker instance, based on the naming conventions for
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naming the internal Redis keys. Can be used to reverse-lookup Workers
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by their Redis keys.
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"""
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prefix = cls.redis_worker_namespace_prefix
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name = worker_key[len(prefix):]
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if not worker_key.startswith(prefix):
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raise ValueError('Not a valid RQ worker key: %s' % (worker_key,))
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if connection is None:
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connection = get_current_connection()
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if not connection.exists(worker_key):
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connection.srem(cls.redis_workers_keys, worker_key)
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return None
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name = worker_key[len(prefix):]
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worker = cls([], name, connection=connection)
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queues = connection.hget(worker.key, 'queues')
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worker._state = connection.hget(worker.key, 'state') or '?'
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if queues:
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worker.queues = [Queue(queue, connection=connection)
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for queue in queues.split(',')]
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return worker
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def __init__(self, queues, name=None,
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default_result_ttl=DEFAULT_RESULT_TTL, connection=None,
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exc_handler=None, default_worker_ttl=DEFAULT_WORKER_TTL): # noqa
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if connection is None:
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connection = get_current_connection()
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self.connection = connection
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if isinstance(queues, Queue):
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queues = [queues]
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self._name = name
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self.queues = queues
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self.validate_queues()
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self._exc_handlers = []
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self.default_result_ttl = default_result_ttl
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self.default_worker_ttl = default_worker_ttl
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self._state = 'starting'
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self._is_horse = False
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self._horse_pid = 0
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self._stopped = False
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self.log = logger
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self.failed_queue = get_failed_queue(connection=self.connection)
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# By default, push the "move-to-failed-queue" exception handler onto
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# the stack
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self.push_exc_handler(self.move_to_failed_queue)
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if exc_handler is not None:
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self.push_exc_handler(exc_handler)
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def validate_queues(self): # noqa
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"""Sanity check for the given queues."""
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if not iterable(self.queues):
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raise ValueError('Argument queues not iterable.')
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for queue in self.queues:
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if not isinstance(queue, Queue):
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raise NoQueueError('Give each worker at least one Queue.')
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def queue_names(self):
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"""Returns the queue names of this worker's queues."""
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return map(lambda q: q.name, self.queues)
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def queue_keys(self):
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"""Returns the Redis keys representing this worker's queues."""
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return map(lambda q: q.key, self.queues)
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@property # noqa
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def name(self):
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"""Returns the name of the worker, under which it is registered to the
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monitoring system.
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By default, the name of the worker is constructed from the current
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(short) host name and the current PID.
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"""
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if self._name is None:
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hostname = socket.gethostname()
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shortname, _, _ = hostname.partition('.')
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self._name = '%s.%s' % (shortname, self.pid)
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return self._name
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@property
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def key(self):
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"""Returns the worker's Redis hash key."""
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return self.redis_worker_namespace_prefix + self.name
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@property
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def pid(self):
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"""The current process ID."""
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return os.getpid()
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@property
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def horse_pid(self):
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"""The horse's process ID. Only available in the worker. Will return
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0 in the horse part of the fork.
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"""
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return self._horse_pid
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@property
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def is_horse(self):
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"""Returns whether or not this is the worker or the work horse."""
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return self._is_horse
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def procline(self, message):
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"""Changes the current procname for the process.
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This can be used to make `ps -ef` output more readable.
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"""
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setprocname('rq: %s' % (message,))
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def register_birth(self): # noqa
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"""Registers its own birth."""
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self.log.debug('Registering birth of worker %s' % (self.name,))
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if self.connection.exists(self.key) and \
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not self.connection.hexists(self.key, 'death'):
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raise ValueError(
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'There exists an active worker named \'%s\' '
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'already.' % (self.name,))
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key = self.key
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now = time.time()
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queues = ','.join(self.queue_names())
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with self.connection.pipeline() as p:
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p.delete(key)
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p.hset(key, 'birth', now)
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p.hset(key, 'queues', queues)
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p.sadd(self.redis_workers_keys, key)
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p.expire(key, self.default_worker_ttl)
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p.execute()
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def register_death(self):
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"""Registers its own death."""
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self.log.debug('Registering death')
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with self.connection.pipeline() as p:
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# We cannot use self.state = 'dead' here, because that would
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# rollback the pipeline
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p.srem(self.redis_workers_keys, self.key)
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p.hset(self.key, 'death', time.time())
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p.expire(self.key, 60)
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p.execute()
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def set_state(self, new_state):
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self._state = new_state
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self.connection.hset(self.key, 'state', new_state)
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def get_state(self):
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return self._state
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state = property(get_state, set_state)
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@property
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def stopped(self):
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return self._stopped
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def _install_signal_handlers(self):
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"""Installs signal handlers for handling SIGINT and SIGTERM
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gracefully.
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"""
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def request_force_stop(signum, frame):
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"""Terminates the application (cold shutdown).
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"""
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self.log.warning('Cold shut down.')
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# Take down the horse with the worker
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if self.horse_pid:
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msg = 'Taking down horse %d with me.' % self.horse_pid
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self.log.debug(msg)
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try:
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os.kill(self.horse_pid, signal.SIGKILL)
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except OSError as e:
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# ESRCH ("No such process") is fine with us
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if e.errno != errno.ESRCH:
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self.log.debug('Horse already down.')
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raise
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raise SystemExit()
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def request_stop(signum, frame):
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"""Stops the current worker loop but waits for child processes to
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end gracefully (warm shutdown).
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"""
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self.log.debug('Got signal %s.' % signal_name(signum))
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signal.signal(signal.SIGINT, request_force_stop)
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signal.signal(signal.SIGTERM, request_force_stop)
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msg = 'Warm shut down requested.'
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self.log.warning(msg)
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# If shutdown is requested in the middle of a job, wait until
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# finish before shutting down
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if self.state == 'busy':
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self._stopped = True
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self.log.debug('Stopping after current horse is finished. '
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'Press Ctrl+C again for a cold shutdown.')
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else:
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raise StopRequested()
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signal.signal(signal.SIGINT, request_stop)
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signal.signal(signal.SIGTERM, request_stop)
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def work(self, burst=False): # noqa
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"""Starts the work loop.
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Pops and performs all jobs on the current list of queues. When all
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queues are empty, block and wait for new jobs to arrive on any of the
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queues, unless `burst` mode is enabled.
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The return value indicates whether any jobs were processed.
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"""
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setup_loghandlers()
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self._install_signal_handlers()
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did_perform_work = False
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self.register_birth()
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self.log.info('RQ worker started, version %s' % VERSION)
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self.state = 'starting'
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try:
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while True:
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if self.stopped:
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self.log.info('Stopping on request.')
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break
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self.state = 'idle'
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qnames = self.queue_names()
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self.procline('Listening on %s' % ','.join(qnames))
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self.log.info('')
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self.log.info('*** Listening on %s...' % \
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green(', '.join(qnames)))
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timeout = None if burst else max(1, self.default_worker_ttl - 60)
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try:
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result = self.dequeue_job_and_maintain_ttl(timeout)
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if result is None:
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break
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except StopRequested:
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break
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except UnpickleError as e:
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job = Job.safe_fetch(e.job_id)
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self.handle_exception(job, *sys.exc_info())
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continue
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self.state = 'busy'
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job, queue = result
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# Use the public setter here, to immediately update Redis
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job.status = Status.STARTED
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self.log.info('%s: %s (%s)' % (green(queue.name),
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blue(job.description), job.id))
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self.connection.expire(self.key, (job.timeout or 180) + 60)
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self.fork_and_perform_job(job)
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self.connection.expire(self.key, self.default_worker_ttl)
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did_perform_work = True
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finally:
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if not self.is_horse:
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self.register_death()
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return did_perform_work
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def dequeue_job_and_maintain_ttl(self, timeout):
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while True:
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try:
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return Queue.dequeue_any(self.queues, timeout,
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connection=self.connection)
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except DequeueTimeout:
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pass
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self.log.debug('Sending heartbeat to prevent worker timeout.')
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self.connection.expire(self.key, self.default_worker_ttl)
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def fork_and_perform_job(self, job):
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"""Spawns a work horse to perform the actual work and passes it a job.
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The worker will wait for the work horse and make sure it executes
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within the given timeout bounds, or will end the work horse with
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SIGALRM.
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"""
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child_pid = os.fork()
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if child_pid == 0:
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self.main_work_horse(job)
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else:
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self._horse_pid = child_pid
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self.procline('Forked %d at %d' % (child_pid, time.time()))
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while True:
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try:
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os.waitpid(child_pid, 0)
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break
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except OSError as e:
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# In case we encountered an OSError due to EINTR (which is
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# caused by a SIGINT or SIGTERM signal during
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# os.waitpid()), we simply ignore it and enter the next
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# iteration of the loop, waiting for the child to end. In
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# any other case, this is some other unexpected OS error,
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# which we don't want to catch, so we re-raise those ones.
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if e.errno != errno.EINTR:
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raise
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def main_work_horse(self, job):
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"""This is the entry point of the newly spawned work horse."""
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# After fork()'ing, always assure we are generating random sequences
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# that are different from the worker.
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random.seed()
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# Always ignore Ctrl+C in the work horse, as it might abort the
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# currently running job.
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# The main worker catches the Ctrl+C and requests graceful shutdown
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# after the current work is done. When cold shutdown is requested, it
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# kills the current job anyway.
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signal.signal(signal.SIGINT, signal.SIG_IGN)
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signal.signal(signal.SIGTERM, signal.SIG_DFL)
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self._is_horse = True
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self.log = logger
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success = self.perform_job(job)
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# os._exit() is the way to exit from childs after a fork(), in
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# constrast to the regular sys.exit()
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os._exit(int(not success))
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def perform_job(self, job):
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"""Performs the actual work of a job. Will/should only be called
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inside the work horse's process.
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"""
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self.procline('Processing %s from %s since %s' % (
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job.func_name,
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job.origin, time.time()))
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try:
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with death_penalty_after(job.timeout or 180):
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rv = job.perform()
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# Pickle the result in the same try-except block since we need to
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# use the same exc handling when pickling fails
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pickled_rv = dumps(rv)
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job._status = Status.FINISHED
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job.ended_at = times.now()
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except:
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# Use the public setter here, to immediately update Redis
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job.status = Status.FAILED
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self.handle_exception(job, *sys.exc_info())
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return False
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if rv is None:
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self.log.info('Job OK')
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else:
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self.log.info('Job OK, result = %s' % (yellow(unicode(rv)),))
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# How long we persist the job result depends on the value of
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# result_ttl:
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# - If result_ttl is 0, cleanup the job immediately.
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# - If it's a positive number, set the job to expire in X seconds.
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# - If result_ttl is negative, don't set an expiry to it (persist
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# forever)
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result_ttl = self.default_result_ttl if job.result_ttl is None else job.result_ttl # noqa
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if result_ttl == 0:
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job.delete()
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self.log.info('Result discarded immediately.')
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else:
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p = self.connection.pipeline()
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p.hset(job.key, 'result', pickled_rv)
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p.hset(job.key, 'status', job._status)
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p.hset(job.key, 'ended_at', times.format(job.ended_at, 'UTC'))
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if result_ttl > 0:
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p.expire(job.key, result_ttl)
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self.log.info('Result is kept for %d seconds.' % result_ttl)
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else:
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self.log.warning('Result will never expire, clean up result key manually.')
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p.execute()
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return True
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def handle_exception(self, job, *exc_info):
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"""Walks the exception handler stack to delegate exception handling."""
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exc_string = ''.join(
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traceback.format_exception_only(*exc_info[:2]) +
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traceback.format_exception(*exc_info))
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self.log.error(exc_string)
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for handler in reversed(self._exc_handlers):
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self.log.debug('Invoking exception handler %s' % (handler,))
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fallthrough = handler(job, *exc_info)
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# Only handlers with explicit return values should disable further
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# exc handling, so interpret a None return value as True.
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if fallthrough is None:
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fallthrough = True
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if not fallthrough:
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break
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def move_to_failed_queue(self, job, *exc_info):
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"""Default exception handler: move the job to the failed queue."""
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exc_string = ''.join(traceback.format_exception(*exc_info))
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self.log.warning('Moving job to %s queue.' % self.failed_queue.name)
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self.failed_queue.quarantine(job, exc_info=exc_string)
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def push_exc_handler(self, handler_func):
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"""Pushes an exception handler onto the exc handler stack."""
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self._exc_handlers.append(handler_func)
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def pop_exc_handler(self):
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"""Pops the latest exception handler off of the exc handler stack."""
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return self._exc_handlers.pop()
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