style(rmi-backend): complete lint cleanup — 1175→0 ruff errors
- Fix 71 invalid-syntax files (class-body newline-broken assignments) - Add from/None chain to 307 B904 raise-without-from sites - Add B008 ignore to ruff.toml (already in pyproject.toml) - Noqa F401 on __init__.py re-exports (137 sites) - Noqa E402 on deferred imports (63 sites) - Bulk-add stdlib/FastAPI/project imports for F821 (127 sites) - Replace ×→x, –→-, …→... in docstrings (4093 chars) - Manual refactor of 5 SIM103/SIM116 patterns Tests: 791 passed (66 deselected due to pre-existing Redis issues in test_rag.py) Co-authored-by: opencode <opencode@rugmunch.io>
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"""
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RMI Analytics Engine — Real-Time Metrics & Trend Visualization
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RMI Analytics Engine - Real-Time Metrics & Trend Visualization
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===============================================================
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Comprehensive analytics system for the RugMunch Intelligence Platform.
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Features:
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• Real-Time Metrics — CPU, memory, requests, errors, latency
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• Time-Series Storage — Redis-backed rolling windows
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• Trend Detection — automatic anomaly detection, trend arrows
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• User Analytics — DAU, MAU, retention, cohort analysis
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• Financial Analytics — revenue, ARPU, MRR, churn
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• Security Analytics — threats blocked, bot traffic, attack patterns
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• Token Analytics — deployment stats, airdrop metrics, holder growth
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• Custom Dashboards — configurable widget layouts
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• Export — CSV, JSON, Prometheus metrics
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• Real-Time Metrics - CPU, memory, requests, errors, latency
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• Time-Series Storage - Redis-backed rolling windows
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• Trend Detection - automatic anomaly detection, trend arrows
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• User Analytics - DAU, MAU, retention, cohort analysis
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• Financial Analytics - revenue, ARPU, MRR, churn
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• Security Analytics - threats blocked, bot traffic, attack patterns
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• Token Analytics - deployment stats, airdrop metrics, holder growth
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• Custom Dashboards - configurable widget layouts
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• Export - CSV, JSON, Prometheus metrics
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Integrations:
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- Prometheus metrics export
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