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>
47 lines
972 B
Python
47 lines
972 B
Python
from contextlib import asynccontextmanager
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from fastapi import FastAPI
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from fastapi.middleware.cors import CORSMiddleware
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from app.config import settings
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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from alembic import command
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from alembic.config import Config
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alembic_cfg = Config("alembic.ini")
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command.upgrade(alembic_cfg, "head")
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from app.services.scheduler_service import start_scheduler, shutdown_scheduler
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start_scheduler()
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yield
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shutdown_scheduler()
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def create_app() -> FastAPI:
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app = FastAPI(
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title="AI Assistant API",
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version="0.1.0",
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lifespan=lifespan,
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)
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app.add_middleware(
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CORSMiddleware,
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allow_origins=settings.BACKEND_CORS_ORIGINS,
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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from app.api.v1.router import api_v1_router
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app.include_router(api_v1_router)
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return app
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app = create_app()
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