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>
38 lines
847 B
TOML
38 lines
847 B
TOML
[project]
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name = "ai-assistant-backend"
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version = "0.1.0"
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description = "Personal AI Assistant - Backend"
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requires-python = ">=3.12"
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dependencies = [
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"fastapi>=0.115.0",
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"uvicorn[standard]>=0.30.0",
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"sqlalchemy[asyncio]>=2.0.30",
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"asyncpg>=0.30.0",
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"alembic>=1.13.0",
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"pydantic[email]>=2.9.0",
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"pydantic-settings>=2.5.0",
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"passlib[bcrypt]>=1.7.4",
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"python-jose[cryptography]>=3.3.0",
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"python-multipart>=0.0.9",
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"httpx>=0.27.0",
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"anthropic>=0.40.0",
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"pymupdf>=1.24.0",
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"aiofiles>=24.0.0",
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"apscheduler>=3.10.0",
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]
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[project.optional-dependencies]
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dev = [
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"pytest>=8.0.0",
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"pytest-asyncio>=0.24.0",
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"httpx>=0.27.0",
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]
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[build-system]
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requires = ["setuptools>=69.0"]
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build-backend = "setuptools.build_meta"
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[tool.pytest.ini_options]
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asyncio_mode = "auto"
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testpaths = ["tests"]
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