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>
31 lines
655 B
Python
31 lines
655 B
Python
import uuid
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from datetime import datetime
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from pydantic import BaseModel, Field
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class NotificationResponse(BaseModel):
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id: uuid.UUID
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user_id: uuid.UUID
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title: str
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body: str
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type: str
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channel: str
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status: str
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scheduled_at: datetime | None
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sent_at: datetime | None
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read_at: datetime | None
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metadata: dict | None = Field(None, alias="metadata_")
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created_at: datetime
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model_config = {"from_attributes": True, "populate_by_name": True}
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class NotificationListResponse(BaseModel):
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notifications: list[NotificationResponse]
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unread_count: int
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class UnreadCountResponse(BaseModel):
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count: int
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