dolgolyov.alexei
ada7e82961
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>
12 lines
482 B
Python
12 lines
482 B
Python
from app.models.user import User
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from app.models.session import Session
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from app.models.chat import Chat
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from app.models.message import Message
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from app.models.context_file import ContextFile
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from app.models.skill import Skill
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from app.models.document import Document
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from app.models.memory_entry import MemoryEntry
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from app.models.notification import Notification
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__all__ = ["User", "Session", "Chat", "Message", "ContextFile", "Skill", "Document", "MemoryEntry", "Notification"]
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