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feat(hotreload): implement hot-reload functionality for addons#832

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rdo-gishantsingh:feat/hot-reload
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feat(hotreload): implement hot-reload functionality for addons#832
rdo-gishantsingh wants to merge 4 commits intoynput:developfrom
rdo-gishantsingh:feat/hot-reload

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@rdo-gishantsingh
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@rdo-gishantsingh rdo-gishantsingh commented Jan 6, 2026

Summary

Implements hot-reload functionality for AYON Server addons, allowing addons to be installed and deleted without requiring a full server restart. This significantly improves the developer experience and reduces downtime in production environments.

Related Issue: Improves addon management workflow by eliminating unnecessary server restarts

Problem Statement

  • Installing or deleting addons required a full server restart, causing downtime
  • The previous implementation used fragile shell parsing (ps aux) for process detection
  • Hardcoded paths made the reload mechanism inflexible across environments
  • Race conditions could occur with concurrent addon operations
  • Reload statistics were lost when workers restarted

Solution

Implement a robust hot-reload system that:

  • Uses psutil for reliable cross-platform process detection
  • Supports configurable reload script paths via environment variables
  • Persists reload statistics in Redis to survive worker restarts
  • Provides health check endpoints for monitoring
  • Notifies connected clients via WebSocket events

Changes Made

Added

  • Process detection with psutil: Reliable identification of gunicorn/granian master process
  • Configurable reload paths: AYON_RELOAD_SCRIPT and AYON_SERVER_TYPE environment variables
  • Redis persistence: Reload count and timestamp survive worker restarts
  • Health check endpoint: GET /api/health/reload returns reload statistics
  • Client notifications: server.addons_changed event dispatched after successful reload
  • Comprehensive unit tests: Full test coverage for the hot-reload module
  • Addon deletion hot-reload: Delete operations now use hot-reload instead of requiring restart

Changed

  • ayon_server/installer/hotreload.py: Complete rewrite with:

    • _get_server_pid(): Uses psutil.process_iter() instead of parsing ps aux
    • _signal_server_reload(): Proper error handling with custom exceptions
    • _get_reload_script_path(): Configurable via environment with security validation
    • _persist_reload_stats() / _get_persisted_reload_stats(): Redis persistence helpers
    • trigger_hotreload(): Main function with addon library cache clearing
    • notify_clients_addon_reload(): Client notification via EventStream
    • HotReloadManager: Dataclass with async get_status() method
  • ayon_server/installer/__init__.py: Fixed race condition by passing event_id explicitly to handle_need_restart()

  • api/addons/delete_addon.py: Integrated hot-reload for addon deletion with fallback to require_server_restart()

  • api/system/__init__.py: Added ReloadStatusModel and /health/reload endpoint

Fixed

  • Race condition with current_event_id instance variable
  • Unreliable process detection using shell parsing
  • Loss of reload statistics on worker restart

Implementation Details

Hot-Reload Flow (Installation)

1. Addon uploaded via API
2. Background installer processes the addon
3. trigger_hotreload() called:
   a. Clear AddonLibrary singleton cache
   b. Find server master process via psutil
   c. Send SIGHUP signal for graceful reload
   d. Persist reload stats to Redis
4. notify_clients_addon_reload() dispatches event
5. Workers restart, clients refresh addon state

Hot-Reload Flow (Deletion)

1. DELETE /api/addons/{name}/{version} called
2. Addon directory deleted from filesystem
3. AddonLibrary cache cleared
4. trigger_hotreload() called (same as installation)
5. If hot-reload fails, falls back to require_server_restart()
6. Clients notified of addon changes

Redis Keys Used

  • hotreload-reload_count: Integer counter of successful reloads
  • hotreload-last_reload: ISO timestamp of last reload

Environment Variables

Variable Default Description
AYON_SERVER_TYPE gunicorn Server type (gunicorn or granian)
AYON_RELOAD_SCRIPT (none) Custom reload script path

Testing

Test Strategy

  • Unit tests added for all hot-reload functions
  • Manual testing in Docker environment
  • Verified Redis persistence across worker restarts
  • Tested addon installation hot-reload
  • Tested addon deletion hot-reload

Test Commands

# Run hot-reload unit tests
pytest tests/test_hotreload.py -v

# Test health endpoint
curl -s http://localhost:5000/api/health/reload -H "Authorization: ApiKey <key>" | jq .

# Test addon installation
curl -X POST http://localhost:5000/api/addons/install \
  -H "Authorization: ApiKey <key>" \
  -H "Content-Type: application/zip" \
  --data-binary @addon.zip

# Test addon deletion
curl -X DELETE "http://localhost:5000/api/addons/{name}/{version}" \
  -H "Authorization: ApiKey <key>"

Manual Testing Steps

  1. Start AYON server with Docker Compose
  2. Upload an addon via the API or web interface
  3. Check /api/health/reload - should show reloadCount: 1
  4. Verify addon appears in addon list without server restart
  5. Delete an addon version via the API
  6. Check /api/health/reload - should show reloadCount: 2
  7. Verify addon version is removed without server restart

Before/After Comparison

Before (Server Restart Required)

User uploads addon → Server sets restart flag → Admin restarts server → 
All connections dropped → Server cold starts → Addon available

Downtime: 10-30 seconds, all WebSocket connections lost

After (Hot-Reload)

User uploads/deletes addon → SIGHUP sent → Workers gracefully restart →
Existing requests complete → New workers start → Addon changes applied

Downtime: 0 seconds, WebSocket connections preserved

Code Quality

  • Code follows PEP 8 style guidelines
  • Code formatted with Ruff
  • Type hints added for all public APIs
  • Docstrings added following Google style
  • Logging appropriately added with structured context
  • Security best practices followed (path validation, no hardcoded secrets)

Breaking Changes

Are there any breaking changes? No

The hot-reload is transparent to clients. The existing require_server_restart() mechanism remains as a fallback if hot-reload fails.

Dependencies

No new dependencies added. psutil was already in pyproject.toml.

- Add utilities to trigger hot-reload without server restart
- Notify clients of addon changes after successful reload
- Fallback to server restart if hot-reload fails
@rdo-gishantsingh rdo-gishantsingh marked this pull request as draft January 6, 2026 05:52
- Introduced a new ReloadStatusModel to provide hot-reload status information.
- Added a /health/reload endpoint to retrieve the last reload timestamp and count.
- Improved handle_need_restart logic to pass event_id explicitly, avoiding race conditions.
- Updated trigger_hotreload to support verification of reload success.
- Implemented functions to persist and retrieve reload statistics from Redis.
- Updated hot-reload manager to use persisted stats for last reload time and count.
- Ensures reload stats survive worker restarts.
- Import trigger_hotreload and notify_clients_addon_reload functions
- Replace require_server_restart with hot-reload on addon/version deletion
- Fall back to require_server_restart if hot-reload fails
- Add logging for both success and fallback scenarios
@martastain
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I appreciate the concept - Hot reloading is definitely something the server needs, but i have two main concerns:

  1. Server restart already uses SIGHUP to the gunicorn process, so unless i miss something, this wouldn't improve the reload speed, am i wrong?

ayon_server/api/system.py

def restart_server():
    """Force the server to restart.

    This is usually called from ayon_server.api.messaging,
    when `server.restart_requested` event is triggered.
    """
    logger.warning("Server is restarting")

    # Send a SIGHUP to the parent process (gunicorn) to request a reload
    # Gunicorn will restart the server when it receives this signal,
    # but it won't quit itself, so the container will keep running.

    os.kill(os.getppid(), signal.SIGHUP)
  1. the crucial part of server restart is to ensure all replicas are restarted at the same time (in the case of horizontaly-scaled deployment). This is why the request to server restart is sent to Redis.pubsub and then handled by all nodes simultaneously. It would have consequences to have replicas running different set of addons.

As i said, this is something we really need - My idea to reduce the startup latency was we import new addons during runtime and replace addon instances in the AddonLibrary and this should be triggered using EventStream global handler to ensure it happens on all replicas)

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