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EV-QA-Framework

v2.3.0 Security

This release includes 1 security fix for security teams reviewing exposed deployments.

Published 1mo Monitoring & Metrics
✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →
This release patches 1 known CVE

Topics

anomaly-detection battery bms can-bus dbc electric-vehicle
+9 more
ev grafana j1939 lstm machine-learning prometheus python quality-assurance soh-prediction

Summary

AI summary

Updates LOW Priority, HIGH Priority, and MEDIUM Priority across a mixed release.

Full changelog

Complete Roast Fix — All 27 Findings Addressed

HIGH Priority (6 fixes)

  • README thermal runaway threshold: 85C -> 130C
  • Moved pytest to dev dependencies
  • Unified version to 2.1.5
  • Fixed Dockerfile healthcheck
  • Removed cosmetic async from run_test_suite
  • Added Grafana env var credentials

MEDIUM Priority (4 fixes)

  • Removed redundant check_percentage_range validator
  • Translated simple_demo.py to English
  • Fixed settings.yaml phantom reference
  • Secured Grafana with env var

LOW Priority (17 fixes)

  • Optional extras: web, can, monitoring, all
  • Docker resource limits (4G/2CPU tests, 1G/1CPU grafana)
  • SIGTERM graceful shutdown handler
  • joblib -> JSON + NumPy serialization (no arbitrary code exec)
  • StreamingAnomalyDetector for real-time monitoring
  • Bootstrap confidence intervals in thermal runaway
  • GradientBoosting added to AutoML
  • vehicle_id labels on all Prometheus metrics
  • Config singletons -> factory functions (get_default_config, get_tesla_config)
  • HTTP health_check() method
  • critical_dtdt unit defined (C/s at 1 Hz)
  • Gradient detection requires 2+ features monotonic
  • anomaly_score semantics documented in docstring
  • Model versioning in save/load
  • Hypothesis property-based tests (3 tests)

Test Results

980 tests passing, 0 failures

Security Fixes

  • Secured Grafana with environment variable credentials

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Beta — feedback welcome: [email protected]