feat(analytics): add analytics pipeline, LLM insights, and analytics dashboard UI - #50
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…ights and analytics dashboard UI
…roved heatmap visualization
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This PR adds a basic analytics ingestion pipeline (Mongo collections), a background aggregation worker, LLM-backed insights generator (OpenAI optional), and a minimal React analytics dashboard with heatmap and collaboration graph placeholders.\n\nFiles added/modified:\n- backend/services/analytics_service.py (ingest + anonymize)\n- backend/services/insights_generator.py (LLM fallback)\n- backend/routes/analytics.py (API endpoints)\n- backend/workers/analytics_aggregation_worker.py (aggregator)\n- backend/config.py (analytics/OPENAI config)\n- backend/services/db.py (analytics collections)\n- backend/routes/socketio_handlers.py (emit join/leave events)\n- backend/routes/submit_room_line.py (emit stroke_created events)\n- frontend/src/pages/Analytics.jsx (dashboard page)\n- frontend/src/components/Analytics/* (InsightCard, Heatmap, CollaborationGraph)\n\nNotes:\n- OpenAI integration is optional; set OPENAI_API_KEY in env to enable.\n- Aggregation worker is simplistic; for high-volume use convert to incremental batch processing.\n- Tests in CI may require additional dev deps (locust, aiohttp, bson) not installed in this environment.\n\nPlease review and let me know if you want richer visualizations (D3), CSV/PDF export, or unit tests added.