c962423bbc
* Replace track calls with eventtracking in task_track and server_track * Making events compatible with events emitted via track app * Fixed broken tests and quality violation * Removed useless changes in shim. using in to have and keys in event context Co-authored-by: zia.fazal@arbisoft.com <zia.fazal@arbisoft.com>
29 lines
1.0 KiB
Python
29 lines
1.0 KiB
Python
"""
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This config file follows the devstack enviroment, but adds the
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requirement of a celery worker running in the background to process
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celery tasks.
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When testing locally, run lms/cms with this settings file as well, to test queueing
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of tasks onto the appropriate workers.
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In two separate processes on devstack:
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paver devstack lms --settings=devstack_with_worker
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DJANGO_SETTINGS_MODULE=lms.envs.devstack_with_worker celery worker --app=lms.celery:APP
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"""
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import os
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# We intentionally define lots of variables that aren't used, and
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# want to import all variables from base settings files
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# pylint: disable=wildcard-import, unused-wildcard-import
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from lms.envs.devstack import *
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# Require a separate celery worker
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CELERY_ALWAYS_EAGER = False
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BROKER_URL = 'redis://:password@edx.devstack.redis:6379/'
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# Disable transaction management because we are using a worker. Views
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# that request a task and wait for the result will deadlock otherwise.
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for database_name in DATABASES:
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DATABASES[database_name]['ATOMIC_REQUESTS'] = False
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