- Added a new function `_is_uwsgi_worker` to accurately identify when the application is running within a uWSGI worker.
- Updated `get_process_role` to label processes as "uwsgi" based on the new function or command-line arguments, improving process role accuracy.
- Expanded unit tests to cover various scenarios for uWSGI role detection, ensuring robust validation of the new logic.
- Introduced `lookup_by_name_year` function to limit database scans for movies and series without TMDB/IMDB IDs, enhancing performance by scoping lookups to current batch names.
- Updated `process_movie_batch` and `process_series_batch` to utilize the new lookup function, reducing memory usage and improving efficiency.
- Registered `refresh_vod_content` and `batch_refresh_series_episodes` for post-task memory cleanup in Celery, ensuring better resource management during VOD content refreshes.
- Introduced a new module to determine the process role based on command-line arguments, enhancing PostgreSQL connection labeling for better monitoring.
- Updated the database connection parameters to include the application name derived from the process role.
- Added unit tests to validate the process role detection logic for different scenarios, including Celery and uWSGI.
- Introduced a temporary staging table for efficient batch processing of EPG program inserts, reducing memory and I/O contention during updates.
- Enhanced the `parse_programs_for_source` function to stream parsed rows into the staging table before swapping them atomically into the main program data.
- Added unit tests to validate the new staging and swapping logic, ensuring existing programs are preserved during failures and that batch processing works as intended.
- Introduced DATABASE_POOL_CONN_MAX_LIFETIME to manage pooled connection lifecycle, improving performance and resource management.
- Updated database engine path to use 'dispatcharr.db.backends.postgresql_psycopg3' for consistency.
- Enhanced logging configuration for geventpool connection lifecycle tracking.
- Moved matching logic to a dedicated module for better organization and testability.
- Made single-channel auto-matching asynchronous, allowing for larger EPG libraries without hitting HTTP timeouts.
- Enhanced memory management and throughput during EPG matching, including optimizations for fuzzy matching and bulk processing.
- Fixed various reliability issues in the auto-matching process, ensuring accurate channel assignments and improved UI feedback.
- Updated API views and frontend components to reflect changes in the matching process and provide real-time notifications.
- Added tests for EPG matching functionality and name normalization.
- Single-channel and selected-channel auto-match always run, even when the channel already has EPG assigned; match-all (no channel IDs) still only processes channels without EPG.
- Switch engine to postgresql_psycopg3 (PR had wrong engine name,
and we're migrating from psycopg2 to psycopg3 as part of this work)
- Set CONN_MAX_AGE=0 (required by geventpool; PR had None)
- Reduce MAX_CONNS 20→8, REUSE_CONNS 10→3 to avoid exhausting
pg max_connections across 4 uWSGI workers + Celery
- Add pool=False to explicitly disable Django's native psycopg3 pool
- Enable gevent cooperative multitasking in all uWSGI worker configs
(gevent-early-monkey-patch + import dispatcharr.gevent_patch)
- Rewrite WebSocket group sends to bypass asyncio in gevent workers:
_gevent_ws_send() replicates the channels_redis 4.x wire format
directly via synchronous Redis so send_websocket_update() and
_send_async() no longer fail silently after epoll is patched out
- Fix PostgreSQL connection exhaustion: CONN_MAX_AGE=0 + explicit
close_old_connections() in stream manager and cleanup watchdog loops
- Fix stream proxy race: register client before the connect-wait loop
so the cleanup watchdog never sees zero clients on a live channel
- Channel list/logo/profile queryset optimisations: conditional DISTINCT,
EXISTS semi-joins for filter-options, channel_count annotation to
eliminate N+1 in LogoSerializer, prefetched memberships in
ChannelProfileSerializer
- JsonResponse for channel ID list and summary endpoints
Plugins live in /data/plugins/<slug>/plugin.py, outside INSTALLED_APPS,
so celery's autodiscover_tasks() never imports them. Any plugin using
module-level @shared_task for cron-scheduled work therefore has its
task unregistered with the worker after every worker restart, until
something else (a connect/utils.trigger_event call, etc.) lazily
imports the plugin module via PluginManager.discover_plugins.
In the meantime, beat fires the periodic task on time and the worker
rejects it:
ERROR celery.worker.consumer.consumer Received unregistered task of
type 'telegram_alerts.send_daily_report'.
PeriodicTask.last_run_at advances anyway, so the failure is silent at
the default INFO log level.
Fix: hook celery's worker_ready signal in dispatcharr/celery.py to
call PluginManager.discover_plugins(sync_db=False) on every worker
boot. Importing the plugin modules runs their @shared_task decorators,
registering the tasks before beat starts firing.
Exception handling is intentionally broad: if one plugin's plugin.py
has an import error, the worker must still come up — discovery failure
should not be a fatal error for the whole worker process.
Tests in tests/test_celery_plugin_discovery.py verify:
- the handler calls discover_plugins(sync_db=False)
- the handler swallows PluginManager.get() exceptions
- the handler swallows discover_plugins() exceptions
- the handler is actually connected to the worker_ready signal
Confirmed the test fails against current dev with the exact
'cannot import name discover_plugins_on_worker_ready' that motivates
this change, and passes with the fix.
- Set `DEFAULT_PERMISSION_CLASSES` to `Authenticated` in the DRF configuration.
- Explicitly marked the HDHomeRun discovery endpoints (`DiscoverAPIView`, `LineupAPIView`, `LineupStatusAPIView`, `HDHRDeviceXMLAPIView`) and the version endpoint with `permission_classes = [AllowAny]` to document their intentionally public access now that the global default is `Authenticated`.
Restructure cleanup in refresh_single_m3u_account so del statements
run before gc.collect(), enabling cyclic garbage collection. Add worker_max_memory_per_child as a safety net against memory fragmentation.
Closes#1012, Closes#1053
Frontend:
- RecordingDetailsModal: fix ReferenceError crash (editing state used before declaration in useMemo — TDZ in production bundles broke all tile clicks)
- RecordingDetailsModal: fix focus-stealing on description edit by calling Movie()/Series() as plain functions instead of <Movie />/<Series />(inline component refs change every render, causing unmount/remount)
- RecordingDetailsModal: suppress sub_title in modal title after custom save
- ErrorBoundary: log caught errors and show message for easier debugging
- guideUtils: filter terminal recordings from mapRecordingsByProgramId so Guide red dots clear after recording finishes or rule is deleted
- RecordingDetailsModalUtils.test: add missing end_time to test fixtures (filterByUpcoming now uses end_time instead of start_time)
Backend:
- tasks.py: output file collision avoidance (check .mkv/.ts before writing)
- tasks.py: pre-restart TS segment concatenation (direct concat→MKV remux)
- tasks.py: recovery pipeline — recover crashed "recording" status, remux expired recordings, revoke stale tasks, deterministic task IDs, early lock release, 10-min lock TTL for large remux operations
- tasks.py: poster resolver skips external API when title matches channel name
- celery.py: trigger recover_recordings_on_startup via worker_ready signal
Tests:
- Renamed test_dvr_fixes.py → test_recording_pipeline.py (clarity)
- Renamed test_dvr_retry.py → test_db_retry.py (clarity), fixed mock paths for close_old_connections (resolved 3 test failures), replaced synthetic test
- test_recording_stop_cancel: replaced brittle time.sleep(0.5) with deterministic thread-capture pattern
Celery's Redis connection pool was silently failing in modular
deployment mode because Django's setup imports celery.py before uWSGI's
gevent plugin reliably patches stdlib sockets. Moving patch_all() to the
top of wsgi.py guarantees all broker connections are gevent-aware
regardless of uWSGI initialization order.
