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quay/workers/queuecleanupworker.py
Brandon Caton 9eb4fb6aa4
Revert workqueue refactor (#1456)
Currently the prometheus and GC workers are not running correctly.
Reverting the following commits:
- 4e1a985e70
- dac183a1ef
- 68a0d9eaf0
- af1aacea08
- f334b80098
2022-07-22 13:11:39 -04:00

62 lines
1.8 KiB
Python

import logging
import time
from datetime import timedelta, datetime
from app import app
from data.database import UseThenDisconnect
from data.queue import delete_expired
from workers.worker import Worker
from workers.gunicorn_worker import GunicornWorker
logger = logging.getLogger(__name__)
DELETION_DATE_THRESHOLD = timedelta(days=1)
DELETION_COUNT_THRESHOLD = 50
BATCH_SIZE = 500
QUEUE_CLEANUP_FREQUENCY = app.config.get("QUEUE_CLEANUP_FREQUENCY", 60 * 60 * 24)
class QueueCleanupWorker(Worker):
def __init__(self):
super(QueueCleanupWorker, self).__init__()
self.add_operation(self._cleanup_queue, QUEUE_CLEANUP_FREQUENCY)
def _cleanup_queue(self):
"""
Performs garbage collection on the queueitem table.
"""
with UseThenDisconnect(app.config):
while True:
# Find all queue items older than the threshold (typically a week) and delete them.
expiration_threshold = datetime.now() - DELETION_DATE_THRESHOLD
deleted_count = delete_expired(
expiration_threshold, DELETION_COUNT_THRESHOLD, BATCH_SIZE
)
if deleted_count == 0:
return
def create_gunicorn_worker():
"""
follows the gunicorn application factory pattern, enabling
a quay worker to run as a gunicorn worker thread.
this is useful when utilizing gunicorn's hot reload in local dev.
utilizing this method will enforce a 1:1 quay worker to gunicorn worker ratio.
"""
worker = GunicornWorker(__name__, app, QueueCleanupWorker(), True)
return worker
if __name__ == "__main__":
if app.config.get("ACCOUNT_RECOVERY_MODE", False):
logger.debug("Quay running in account recovery mode")
while True:
time.sleep(100000)
worker = QueueCleanupWorker()
worker.start()