mirror of
https://github.com/Dispatcharr/Dispatcharr.git
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c33d456743
- 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
54 lines
2 KiB
Python
54 lines
2 KiB
Python
"""
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Loaded via uWSGI's `import = dispatcharr.gevent_patch` directive.
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Two things happen here:
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1. gevent stdlib monkey-patching - replaces blocking socket/threading/os
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primitives with gevent-cooperative versions. `gevent-early-monkey-patch = true`
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in the ini should already have done this; calling it again is a safe no-op if
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it did, and a necessary fallback if it didn't (e.g. older uWSGI build).
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2. psycogreen - installs a wait callback on psycopg2 so libpq yields to the
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gevent hub during I/O instead of blocking the OS thread.
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Without (1), `async_to_sync(channel_layer.group_send)` in send_websocket_update
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would call epoll_wait() directly, freezing every greenlet on the worker (the
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90s pile-up observed on Worker 9). With (1), select.epoll is removed by
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monkey-patching, which breaks asyncio event loop creation in threadpool threads.
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send_websocket_update therefore uses a synchronous Redis path in gevent workers
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instead of asyncio - see _gevent_ws_send() in core/utils.py.
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Without (2), psycopg2 network calls pin the worker during slow/stalled queries.
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Celery and Daphne run in separate daemon processes and do not load this module.
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Note: this module runs before Django configures logging, so print() is used
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instead of logger so output reaches uWSGI's stdout.
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"""
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import sys
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from gevent import monkey
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if not monkey.is_module_patched("socket"):
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print(
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"[gevent_patch] WARNING: gevent-early-monkey-patch did not run - "
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"applying monkey.patch_all() now.",
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file=sys.stderr,
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flush=True,
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)
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monkey.patch_all()
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else:
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print("[gevent_patch] gevent stdlib monkey-patching already active.", flush=True)
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try:
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from psycogreen.gevent import patch_psycopg
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patch_psycopg()
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print("[gevent_patch] psycogreen: psycopg2 patched for gevent.", flush=True)
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except ImportError:
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print(
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"[gevent_patch] WARNING: psycogreen not installed - "
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"psycopg2 will block the gevent hub during DB I/O. "
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"Run: uv pip install psycogreen",
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file=sys.stderr,
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flush=True,
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)
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