Files
personal-ai-assistant/backend/app/workers/notification_sender.py
dolgolyov.alexei ada7e82961 Phase 5: Notifications — WebSocket, APScheduler, AI tool, health review
Backend:
- Notification model + Alembic migration
- Notification service: CRUD, mark read, unread count, pending scheduled
- WebSocket manager singleton for real-time push
- WebSocket endpoint /ws/notifications with JWT auth via query param
- APScheduler integration: periodic notification sender (every 60s),
  daily proactive health review job (8 AM)
- AI tool: schedule_notification (immediate or scheduled)
- Health review worker: analyzes user memory via Claude, creates
  ai_generated notifications with WebSocket push

Frontend:
- Notification API client + Zustand store
- WebSocket hook with auto-reconnect (exponential backoff)
- Notification bell in header with unread count badge + dropdown
- Notifications page with type badges, mark read, mark all read
- WebSocket initialized in AppLayout for app-wide real-time updates
- Enabled notifications nav in sidebar
- English + Russian translations

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-19 13:57:25 +03:00

25 lines
917 B
Python

"""Periodic job: send pending scheduled notifications via WebSocket."""
from app.database import async_session_factory
from app.services.notification_service import get_pending_scheduled, mark_as_sent
from app.services.ws_manager import manager
async def send_pending_notifications():
async with async_session_factory() as db:
pending = await get_pending_scheduled(db)
for notif in pending:
await mark_as_sent(db, notif.id)
await db.commit()
# Push via WebSocket
await manager.send_to_user(notif.user_id, {
"type": "new_notification",
"notification": {
"id": str(notif.id),
"title": notif.title,
"body": notif.body,
"type": notif.type,
"created_at": notif.created_at.isoformat(),
},
})