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MarekWo
63204fe08d
The retention/cleanup scheduler was throwing "Working outside of application
context" on every boot because init_*_schedule() and the APScheduler jobs
themselves call api.get_*_settings(), which reads current_app.db. Pass the
Flask app into archiver.manager via set_flask_app() and decorate every
scheduled job with @_with_app_context so the context is active when the
worker thread runs. Wrap the init calls in main.py in app.app_context() too.
Extend cleanup_old_messages() to also delete from echoes, paths and acks
(the diagnostic tables — 191k echo rows account for the bulk of the 85 MB
DB). Each diagnostic table has its own retention window, defaulting to
min(days, 30) so debug data is purged on a tighter schedule than
user-visible messages.
Switch RETENTION_DEFAULTS to enabled=True with 90/90/60/30 days for
channel_messages/DMs/adverts/diagnostics; user opted in explicitly. First
run scheduled for 03:30 local. SQLite DELETE only marks pages free —
file size won't shrink until a manual VACUUM is run separately.
Archive job stopped working the day the device was renamed to include an
emoji ("MarWoj 💡"): the meshcore library strips non-ASCII when writing
the .msgs file, but our archiver still built /data/{device_name}.msgs and
hit ENOENT every night at 00:00. Add a tolerant fallback that globs the
data dir for a single non-archive .msgs file when the expected path is
missing — mirroring how migrate_v1 already handles this.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>