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5f63b3a7bb
* chore: drop deprecated tables and remove unused code * isort imports * migration: check for table existence before drop
61 lines
1.8 KiB
Python
61 lines
1.8 KiB
Python
import logging
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import time
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from datetime import datetime, timedelta
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from app import app
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from data.database import UseThenDisconnect
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from data.queue import delete_expired
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from workers.gunicorn_worker import GunicornWorker
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from workers.worker import Worker
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logger = logging.getLogger(__name__)
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DELETION_DATE_THRESHOLD = timedelta(days=1)
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DELETION_COUNT_THRESHOLD = 50
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BATCH_SIZE = 500
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QUEUE_CLEANUP_FREQUENCY = app.config.get("QUEUE_CLEANUP_FREQUENCY", 60 * 60 * 24)
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class QueueCleanupWorker(Worker):
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def __init__(self):
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super(QueueCleanupWorker, self).__init__()
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self.add_operation(self._cleanup_queue, QUEUE_CLEANUP_FREQUENCY)
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def _cleanup_queue(self):
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"""
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Performs garbage collection on the queueitem table.
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"""
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with UseThenDisconnect(app.config):
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while True:
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# Find all queue items older than the threshold (typically a week) and delete them.
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expiration_threshold = datetime.now() - DELETION_DATE_THRESHOLD
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deleted_count = delete_expired(
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expiration_threshold, DELETION_COUNT_THRESHOLD, BATCH_SIZE
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)
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if deleted_count == 0:
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return
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def create_gunicorn_worker():
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"""
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follows the gunicorn application factory pattern, enabling
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a quay worker to run as a gunicorn worker thread.
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this is useful when utilizing gunicorn's hot reload in local dev.
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utilizing this method will enforce a 1:1 quay worker to gunicorn worker ratio.
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"""
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worker = GunicornWorker(__name__, app, QueueCleanupWorker(), True)
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return worker
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if __name__ == "__main__":
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if app.config.get("ACCOUNT_RECOVERY_MODE", False):
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logger.debug("Quay running in account recovery mode")
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while True:
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time.sleep(100000)
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worker = QueueCleanupWorker()
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worker.start()
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