mirror of
https://github.com/danswer-ai/danswer.git
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f1fc8ac19b
* wip checkpointing/continue on failure more stuff for checkpointing Basic implementation FE stuff More checkpointing/failure handling rebase rebase initial scaffolding for IT IT to test checkpointing Cleanup cleanup Fix it Rebase Add todo Fix actions IT Test more Pagination + fixes + cleanup Fix IT networking fix it * rebase * Address misc comments * Address comments * Remove unused router * rebase * Fix mypy * Fixes * fix it * Fix tests * Add drop index * Add retries * reset lock timeout * Try hard drop of schema * Add timeout/retries to downgrade * rebase * test * test * test * Close all connections * test closing idle only * Fix it * fix * try using null pool * Test * fix * rebase * log * Fix * apply null pool * Fix other test * Fix quality checks * Test not using the fixture * Fix ordering * fix test * Change pooling behavior
115 lines
3.8 KiB
Plaintext
115 lines
3.8 KiB
Plaintext
[supervisord]
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nodaemon=true
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user=root
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logfile=/var/log/supervisord.log
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# Background jobs that must be run async due to long time to completion
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# NOTE: due to an issue with Celery + SQLAlchemy
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# (https://github.com/celery/celery/issues/7007#issuecomment-1740139367)
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# we must use the threads pool instead of the default prefork pool for now
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# in order to avoid intermittent errors like:
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# `billiard.exceptions.WorkerLostError: Worker exited prematurely: signal 11 (SIGSEGV)`.
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#
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# This means workers will not be able take advantage of multiple CPU cores
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# on a system, but this should be okay for now since all our celery tasks are
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# relatively compute-light (e.g. they tend to just make a bunch of requests to
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# Vespa / Postgres)
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[program:celery_worker_primary]
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command=celery -A onyx.background.celery.versioned_apps.primary worker
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--loglevel=INFO
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--hostname=primary@%%n
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-Q celery
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stdout_logfile=/var/log/celery_worker_primary.log
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stdout_logfile_maxbytes=16MB
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redirect_stderr=true
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autorestart=true
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startsecs=10
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stopasgroup=true
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# NOTE: only allowing configuration here and not in the other celery workers,
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# since this is often the bottleneck for "sync" jobs (e.g. document set syncing,
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# user group syncing, deletion, etc.)
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[program:celery_worker_light]
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command=celery -A onyx.background.celery.versioned_apps.light worker
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--loglevel=INFO
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--hostname=light@%%n
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-Q vespa_metadata_sync,connector_deletion,doc_permissions_upsert,checkpoint_cleanup
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stdout_logfile=/var/log/celery_worker_light.log
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stdout_logfile_maxbytes=16MB
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redirect_stderr=true
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autorestart=true
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startsecs=10
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stopasgroup=true
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[program:celery_worker_heavy]
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command=celery -A onyx.background.celery.versioned_apps.heavy worker
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--loglevel=INFO
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--hostname=heavy@%%n
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-Q connector_pruning,connector_doc_permissions_sync,connector_external_group_sync
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stdout_logfile=/var/log/celery_worker_heavy.log
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stdout_logfile_maxbytes=16MB
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redirect_stderr=true
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autorestart=true
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startsecs=10
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stopasgroup=true
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[program:celery_worker_indexing]
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command=celery -A onyx.background.celery.versioned_apps.indexing worker
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--loglevel=INFO
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--hostname=indexing@%%n
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-Q connector_indexing
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stdout_logfile=/var/log/celery_worker_indexing.log
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stdout_logfile_maxbytes=16MB
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redirect_stderr=true
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autorestart=true
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startsecs=10
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stopasgroup=true
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[program:celery_worker_monitoring]
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command=celery -A onyx.background.celery.versioned_apps.monitoring worker
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--loglevel=INFO
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--hostname=monitoring@%%n
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-Q monitoring
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stdout_logfile=/var/log/celery_worker_monitoring.log
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stdout_logfile_maxbytes=16MB
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redirect_stderr=true
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autorestart=true
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startsecs=10
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stopasgroup=true
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# Job scheduler for periodic tasks
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[program:celery_beat]
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command=celery -A onyx.background.celery.versioned_apps.beat beat
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stdout_logfile=/var/log/celery_beat.log
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stdout_logfile_maxbytes=16MB
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redirect_stderr=true
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startsecs=10
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stopasgroup=true
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# Listens for Slack messages and responds with answers
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# for all channels that the OnyxBot has been added to.
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# If not setup, this will just fail 5 times and then stop.
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# More details on setup here: https://docs.onyx.app/slack_bot_setup
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[program:slack_bot]
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command=python onyx/onyxbot/slack/listener.py
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stdout_logfile=/var/log/slack_bot.log
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stdout_logfile_maxbytes=16MB
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redirect_stderr=true
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autorestart=true
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startretries=5
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startsecs=60
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# Pushes all logs from the above programs to stdout
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# No log rotation here, since it's stdout it's handled by the Docker container logging
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[program:log-redirect-handler]
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command=tail -qF
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/var/log/celery_beat.log
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/var/log/celery_worker_primary.log
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/var/log/celery_worker_light.log
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/var/log/celery_worker_heavy.log
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/var/log/celery_worker_indexing.log
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/var/log/slack_bot.log
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stdout_logfile=/dev/stdout
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stdout_logfile_maxbytes = 0 # must be set to 0 when stdout_logfile=/dev/stdout
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autorestart=true
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