2677bca9ca4879bee5eb2f01c28dfc477a9dbd7f
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2677bca9ca |
feat(iace): benchmark risk comparison (traffic lights) + misuse pattern + 1:n matcher
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#1 Risk-number comparison in the benchmark: ComputeRiskComparison derives the tool's S/F/W/P + Fine-Kinney per matched hazard and compares to the GT values; exposed on the benchmark response and rendered in a new RiskComparison table with GREEN/YELLOW/RED traffic lights on the risk number R (like the Excel), plus per-axis within-1 agreement cards. #2 Generic misuse pattern HP2103 "Personenbefoerderung auf Hebezeug" — gated to lift-family machine types, fires for ANY lifting device (not machine-specific). #3 Benchmark matcher is now 1:n — one broad engine hazard may cover several fine-grained GT sub-scenarios (foot/hand/leg crush), so coverage reflects real risk coverage rather than 1:1 wording matches. Validated on BOTH ground truths (robot cell + lift): leakage 0, ghosts 0, coverage held. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> |
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8bb90d73e5 |
feat(iace): benchmark system + erklaerteil + dedup-fix
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- Erklaerteil-Template fuer Risikobeurteilungen (risk_assessment_template.go) in PDF-Export, Markdown-Export und Frontend ReportPrintView eingebaut - Ground Truth Benchmark-System: Datenmodell, Fuzzy-Matching-Engine, 3 API Endpoints (import-gt, benchmark, benchmark/summary) - Frontend Benchmark-Tab mit Score-Cards, Kategorie-Breakdown, Hazard-Vergleichstabelle (Zugeordnet/Fehlend/Extra), Business Impact - Erster Benchmark: 13.3% Coverage (Baseline) gegen 60 GT-Eintraege - Dedup-Fix: seenCat[cat] -> seenCatZone[cat+zone] erlaubt mehrere Gefaehrdungen pro Kategorie an verschiedenen Gefahrenstellen - Komponenten-spezifische Hazard-Namen und Zone-basierte Zuordnung Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |