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quay/workers/queueworker.py
Joseph Schorr ac0cca2d90 Switch to a unified worker system
- Handles logging
- Handles reporting to Sentry
- Removes old code around serving a web endpoint (unused now)
2015-07-28 17:26:12 -04:00

144 lines
5 KiB
Python

import logging
import json
import signal
import sys
from threading import Event, Lock
from datetime import datetime, timedelta
from threading import Thread
from time import sleep
from data.model import db
from data.queue import WorkQueue
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, 60)
self.add_operation(self.run_watchdog, self._watchdog_period_seconds)
def process_queue_item(self, job_details):
""" Return True if complete, False if it should be retried. """
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):
with self._current_item_lock:
if self.current_queue_item is not None:
self._queue.extend_processing(self.current_queue_item, seconds_from_now)
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:
# Close the db handle.
self._close_db_handle()
break
logger.debug('Queue gave us some work: %s', current_queue_item.body)
job_details = json.loads(current_queue_item.body)
try:
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()
finally:
# Close the db handle.
self._close_db_handle()
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()