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>
7 lines
121 B
INI
7 lines
121 B
INI
[pytest]
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asyncio_mode = auto
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testpaths = tests
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python_files = test_*.py
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python_classes = Test*
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python_functions = test_*
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