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quay/workers/queueworker.py

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import logging
import json
from threading import Event, Lock
from app import app
from data.model import db
from data.database import CloseForLongOperation
from workers.worker import Worker
logger = logging.getLogger(__name__)
class JobException(Exception):
""" A job exception is an exception that is caused by something being malformed in the job. When
a worker raises this exception the job will be terminated and the retry will not be returned
to the queue. """
pass
class WorkerUnhealthyException(Exception):
""" When this exception is raised, the worker is no longer healthy and will not accept any more
work. When this is raised while processing a queue item, the item should be returned to the
queue along with another retry. """
pass
class QueueWorker(Worker):
def __init__(self, queue, poll_period_seconds=30, reservation_seconds=300,
watchdog_period_seconds=60, retry_after_seconds=300):
super(QueueWorker, self).__init__()
self._poll_period_seconds = poll_period_seconds
self._reservation_seconds = reservation_seconds
self._watchdog_period_seconds = watchdog_period_seconds
self._retry_after_seconds = retry_after_seconds
self._stop = Event()
self._terminated = Event()
self._queue = queue
self._current_item_lock = Lock()
self.current_queue_item = None
# Add the various operations.
self.add_operation(self.poll_queue, self._poll_period_seconds)
self.add_operation(self.update_queue_metrics,
app.config['QUEUE_WORKER_METRICS_REFRESH_SECONDS'])
self.add_operation(self.run_watchdog, self._watchdog_period_seconds)
def process_queue_item(self, job_details):
""" Processes the work for the given job. If the job fails and should be retried,
this method should raise a WorkerUnhealthyException. If the job should be marked
as permanently failed, it should raise a JobException. Otherwise, a successful return
of this method will remove the job from the queue as completed.
"""
raise NotImplementedError('Workers must implement run.')
def watchdog(self):
""" Function that gets run once every watchdog_period_seconds. """
pass
def _close_db_handle(self):
if not db.is_closed():
logger.debug('Disconnecting from database.')
db.close()
def extend_processing(self, seconds_from_now, updated_data=None):
with self._current_item_lock:
if self.current_queue_item is not None:
self._queue.extend_processing(self.current_queue_item, seconds_from_now,
updated_data=updated_data)
def run_watchdog(self):
logger.debug('Running watchdog.')
try:
self.watchdog()
except WorkerUnhealthyException as exc:
logger.error('The worker has encountered an error via watchdog and will not take new jobs')
logger.error(exc.message)
self.mark_current_incomplete(restore_retry=True)
self._stop.set()
def poll_queue(self):
logger.debug('Getting work item from queue.')
with self._current_item_lock:
self.current_queue_item = self._queue.get(processing_time=self._reservation_seconds)
while True:
# Retrieve the current item in the queue over which to operate. We do so under
# a lock to make sure we are always retrieving an item when in a healthy state.
current_queue_item = None
with self._current_item_lock:
current_queue_item = self.current_queue_item
if current_queue_item is None:
break
logger.debug('Queue gave us some work: %s', current_queue_item.body)
job_details = json.loads(current_queue_item.body)
try:
with CloseForLongOperation(app.config):
self.process_queue_item(job_details)
self.mark_current_complete()
except JobException as jex:
logger.warning('An error occurred processing request: %s', current_queue_item.body)
logger.warning('Job exception: %s', jex)
self.mark_current_incomplete(restore_retry=False)
except WorkerUnhealthyException as exc:
logger.error('The worker has encountered an error via the job and will not take new jobs')
logger.error(exc.message)
self.mark_current_incomplete(restore_retry=True)
self._stop.set()
if not self._stop.is_set():
with self._current_item_lock:
self.current_queue_item = self._queue.get(processing_time=self._reservation_seconds)
if not self._stop.is_set():
logger.debug('No more work.')
def update_queue_metrics(self):
self._queue.update_metrics()
def mark_current_incomplete(self, restore_retry=False):
with self._current_item_lock:
if self.current_queue_item is not None:
self._queue.incomplete(self.current_queue_item, restore_retry=restore_retry,
retry_after=self._retry_after_seconds)
self.current_queue_item = None
def mark_current_complete(self):
with self._current_item_lock:
if self.current_queue_item is not None:
self._queue.complete(self.current_queue_item)
self.current_queue_item = None
def ungracefully_terminated(self):
# Give back the retry that we took for this queue item so that if it were down to zero
# retries it will still be picked up by another worker
self.mark_current_incomplete()