36c53e0e7c
Major additions across backend, frontend, and infrastructure: Backend: - IoT collector framework (Modbus TCP, MQTT, HTTP) with manager - Realistic Beijing solar/weather simulator with cloud transients - Alarm auto-checker with demo anomaly injection (3-4 events/hour) - Report generation (PDF/Excel) with sync fallback and E2E testing - Energy data CSV/XLSX export endpoint - WebSocket real-time broadcast at /ws/realtime - Alembic initial migration for all 14 tables - 77 pytest tests across 9 API routers Frontend: - Live notification badge with alarm count (was hardcoded 0) - Sankey energy flow diagram on dashboard - Device photos (SVG illustrations) on all device pages - Report download with status icons - Energy data export buttons (CSV/Excel) - WebSocket hook with auto-reconnect and polling fallback - BigScreen 2D responsive CSS (tablet/mobile) - Error handling improvements across pages Infrastructure: - PostgreSQL + TimescaleDB as primary database - Production docker-compose with nginx reverse proxy - Comprehensive Chinese README - .env.example with documentation - quick-start.sh deployment script - nginx config with gzip, caching, security headers Data: - 30-day realistic backfill (47K rows, weather-correlated) - 18 devices, 6 alarm rules, 15 historical alarm events - Beijing solar position model with seasonal variation Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
26 lines
479 B
Plaintext
26 lines
479 B
Plaintext
fastapi==0.115.6
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uvicorn[standard]==0.34.0
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sqlalchemy[asyncio]==2.0.36
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asyncpg==0.30.0
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psycopg2-binary==2.9.10
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alembic==1.14.0
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pydantic==2.10.3
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pydantic-settings==2.7.0
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python-jose[cryptography]==3.3.0
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passlib[bcrypt]==1.7.4
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python-multipart==0.0.18
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redis==5.2.1
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celery==5.4.0
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httpx==0.28.1
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pandas==2.2.3
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openpyxl==3.1.5
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reportlab==4.2.5
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apscheduler==3.10.4
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gunicorn==23.0.0
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pymodbus>=3.6.0
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aiomqtt>=2.0.0
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pytest==8.3.4
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pytest-asyncio==0.25.0
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pytest-cov==6.0.0
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aiosqlite==0.20.0
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