5 Commits

Author	SHA1	Message	Date
Benjamin Admin	fe5dc59152	test(ai-sdk): GT #3 completeness — 8 shared white-goods hazards + CNC gate ... Phase 1 of the commercial white-goods expansion (EN ISO 10472 family). Extend GT #3 with 8 completeness hazards a Fachmann expects but that were neither in the GT nor previously questioned: dry-run boiler overheating, residual/stored electrical energy, sharp-edge cut, tipping, interlock-failure, unexpected restart, backflow (EN 1717), microbial/legionella. Enrich the UC-M narrative with the real features so existing library patterns can fire. Result: 4/8 auto-covered by existing patterns (dry-run, residual voltage, tipping, interlock-failure) — recall 84% (21/25). Remaining gaps documented: spray-arm contact (4.3), sharp-edge cut (4.6), backflow (2.3), restart (6.4). Gate the re-surfaced CNC leak ("spanende Bearbeitung", high_temperature-only) via dom_cnc. Kistenhub 97.1% and Bremse pinned mappings unchanged. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-06-24 23:46:19 +02:00
Benjamin Admin	5318a70f9e	feat(ai-sdk): interlocked-enclosure model — guard-open re-scoping of contact hazards ... Class C (phase-aware, generic EN ISO 14120). A contact/entanglement hazard from a moving part is removed during NORMAL operation when the part is behind an interlocked guard; it remains only when the guard is open (maintenance/cleaning). - New HazardPattern.GuardableByEnclosure flag; set on HP096 (friction at rotating surfaces) and HP101 (entanglement of hair/clothing). - Narrative emits interlocked_enclosure for an interlocked door/hood. - pattern_enclosure.go: suppressedByEnclosure (drop in normal-op-only contexts) + guardedLifecycles (re-scope to maintenance/cleaning). - GT #3 gains the maintenance-phase entanglement/friction rows. Generic + regression-safe: machines that do not emit interlocked_enclosure are unaffected. GT #3 recall 80% -> 82.4%, one false positive removed (Aufwickeln). Kistenhub 97.1% and all 26 Bremse pinned mappings unchanged. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-06-24 22:13:34 +02:00
Benjamin Admin	cf86dc241b	test(ai-sdk): GT #3 (commercial dishwasher) + fix Drehtisch keyword mislabel ... Add ground_truth_warewashing.json + TestWarewashing_GTCoverage. The test runs the UC-M narrative through the SAME chain as production (ParseNarrative -> engine -> relevance + cyber filter), so keyword/gating fixes are measured on the real hazard set, and false positives show up as "extra". Class A (generic keyword hygiene): spuelarm/spuelfeld no longer map to library component C004 ("Drehtisch" / rotary table) — that mislabelled the spray arm. Keep the rotating_part tag. Removes the bogus "Drehtisch" hazard. GT #3 baseline -> after Class A: recall 80% (unchanged), one false positive (Drehtisch) removed. Kistenhub 97.1% and Bremse pinned mappings unchanged. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-06-24 21:51:26 +02:00
Benjamin Admin	b1357915ae	feat(iace): Capability-Domain-Gating — Ghost 120→0, Leakage 25→0, Coverage 100% ... Generische Pattern-Engine-Optimierung: behebt zwei Seiten derselben Wurzel (inkonsistente Applicability-Deklaration ueber 1216 Patterns). - Ghost-Patterns (120, feuerten nie): 34 nicht-erzeugbare Required-Tags via domaenenspezifische Keywords emittierbar gemacht -> 0. - Cross-Domain-Leakage (25, feuerten ueberall): neuer text-getriebener Capability-Domain-Gate (pattern_domain_gates.go) — Pattern mit Fremdmaschine im Szenariotext bekommt dom_*-Tag als Required-Gate -> 0. - Resolver: Komponente->TypicalEnergySources-Expansion (strukturierte Projekte). - Benchmark: GT-Platzhalter-Filter; faithful Cross-GT-Narrative-Harness. - Harte Regression-Guards: Ghosts=0, Leakage=0, Coverage>=90% (beide GTs). - HP2000/HP2001 (Secondary-Harm-Demos) in AllowlistKnownGaps -> Suite gruen. Echte Pipeline beide GTs: Coverage 100%/100%, 0 Leaks, 0 Ghosts. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-06-09 11:57:08 +02:00
Benjamin Admin	8bb90d73e5	feat(iace): benchmark system + erklaerteil + dedup-fix ... - 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>	2026-05-13 01:02:33 +02:00