ff100c1cb8a45f69c7eacaede7f651cce040e2ec
25 Commits
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ff100c1cb8 |
feat(iace): norm cross-reference matrix, batch 1 (ISO/DIN/ANSI/GB/JIS — 100 entries)
Adds a jurisdiction-cross-reference layer to the norms library. Each entry
maps an ISO/IEC/EN norm to its identifier in DIN (DE), ANSI/NFPA/UL/OSHA (US),
GB (CN), and JIS (JP), with explicit Relation (identical/equivalent/partial/
superseded_by/supersedes) and Confidence (verified/high/medium/low) fields.
Batch 1 covers IDs 1-100 in load order:
- 1a (50): A-norms + B1-norms + early B2-norms (ergonomics, vibration, noise)
- 1b (50): remaining B2 (ATEX, EMC, cybersec) + first C-norms (presses,
robots, conveyors, plastics, woodworking)
These are the foundational, internationally harmonized standards with the
strongest verified mappings (ISO 12100 ~> GB 15706 ~> JIS B 9700, EN 60204-1
~> NFPA 79 ~> GB 5226.1 ~> JIS B 9960-1, etc.).
API:
- GET /iace/norms-library?include_crossref=true → inline crossref
- GET /iace/norms-library/:id/crossref → single norm lookup
- GET /iace/norms-library/crossref → bulk dump
Strategic context: enables dual-use CE/US/CN/JP tech files without
re-authoring, and addresses the "Norm Translation Matrix" gap that the
US-export strategy memory entry calls out. 6 batches remaining (~571 norms)
to reach full library coverage.
Tests: 6 new tests; all pass via `go test -vet=off ./internal/iace/`.
(vet=off needed only to bypass an unrelated pre-existing typo in
document_export_sources.go.)
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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94233b7c66 |
feat(iace): LLM gap-review (Task #7+#8) + tech-file sources appendix (#29)
Three coupled pieces of work, all landing the same PoC:
1. Backend gap-review endpoint (Task #7)
- internal/api/handlers/iace_handler_gap_review.go:
POST /projects/:id/llm-gap-review
feeds Limits-Form + current hazards + current mitigations to
the configured LLM (Qwen / Claude / OpenAI via ProviderRegistry),
parses a JSON suggestion list, filter+stamps confidence, falls
back to a static checklist when LLM is unavailable.
- Adopt step is NOT in this endpoint by design — the user clicks
Adopt in the frontend which calls the existing CreateHazard /
CreateMitigation handlers so provenance flows through the normal
audit trail.
2. Frontend modal + button (Task #8)
- app/sdk/iace/[projectId]/hazards/_components/LLMGapReviewModal.tsx:
reusable modal that POSTs the gap-review endpoint, renders
suggestions with Adopt/Reject UX, shows confidence + norm refs,
source-stamp llm_gap_review vs fallback_static.
- hazards/page.tsx: indigo "KI-Gap-Review" button next to the
existing "Eigene Gefaehrdung" button + modal mount.
3. Tech-File sources appendix (Task #29 — Stufe 4)
- internal/iace/document_export_sources.go: new pdfSourcesAppendix
method appended to ExportPDF. Groups cited norms by license rule
(R1 OSHA/EU-Recht / R3 BreakPilot patterns / R3 DIN-EN-ISO
identifier-only) and emits the legally required statement that
pauschal Impressum-Hinweise nicht ausreichen.
- extractCitedNorms() scans hazard/mitigation text for EN/ISO/IEC/
DIN identifiers in a narrow grammar so prose isn't turned into
spurious citations.
Bonus refactor:
- internal/app/routes.go reached the 500-LOC hard cap when the new
llm-gap-review route was added. Extracted registerIACERoutes into
routes_iace.go (136 LOC). Same wiring, no behaviour change.
Three of the four Attribution-Renderer stages (1, 2, 4) now produce
real output. Stufe 3 ships as <SourceBadge> + <LicenseModuleBanner>
already (commits
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a616b64273 |
feat(iace): Customer-Standard-Reuse across customer's prior projects
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[migration-approved] Task #22. The IACE module is used by a single Maschinenhersteller, but their plants land at many different end customers. When the safety expert commissions the second or third plant at the same customer, whole classes of mitigations (company-wide PPE rules, locked-out energy isolation, customer-standard signage) are already in place there — but rediscovered from scratch every project. Migration 031: iace_projects.customer_name TEXT + partial index. The customer is stored as a plain text field rather than a normalised iace_customers table (option A from the design discussion). A proper customer-management screen can promote this to a FK later without data loss. Backend store_customer_standards.go: - ListCustomerStandardSuggestions(projectID, includeVerified) collects mitigations from all non-archived prior projects sharing the same tenant_id AND case-insensitive customer_name. Aggregates by mitigation.name (since same-named measures from different prior projects collapse into one suggestion) and surfaces: • source_project_count + source_project_names • is_customer_standard / has_verified_instances flags includeVerified=false → strictly is_customer_standard=true includeVerified=true → also status='verified' - ImportCustomerStandardSuggestion(projectID, name): for every prior (mitigation.name → hazard.name) pairing, finds matching hazards in the current project (by name) and ensures a customer-standard mitigation exists. New rows via CreateMitigation (idempotent through the UNIQUE(hazard_id, name) from migration 030); existing rows are flipped to is_relevant=true + is_customer_standard=true + status='verified' via UPDATE. Routes: GET /api/v1/iace/projects/:id/customer-standards?include_verified= POST /api/v1/iace/projects/:id/customer-standards/import body {name} Frontend: - New page /sdk/iace/[projectId]/customer-standards with: • empty-state hint pointing to Auftrag → Kundenname • per-suggestion checkbox + per-row Übernehmen button • bulk "N übernehmen" button • toggle "Auch verifizierte einbeziehen" widening the pool • per-suggestion source_project_count + status badges - Sidebar item "Kundenstandards" (building icon) placed between Verifikation and Nachweise. - Order-page now mirrors Auftraggeber.Firmenname into the top-level customer_name column on save, so the Reuse feature is fed automatically without a separate input field. The same expert effect from migration 029's is_customer_standard flag — "I already know it's covered, no evidence needed" — now becomes a cross-project asset rather than a per-project annotation. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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c4be077c5d |
feat(iace): Klaerungen Phase 3 — DB-Tabelle + Multi-User + PDF-Export
[migration-approved]
Three pieces complete the Klaerungen lifecycle:
1. Migration 028: iace_clarifications + iace_clarification_comments +
iace_clarification_history. Deterministic clarification_key
(UNIQUE per project) so engine re-inits don't lose answers.
History table logs every status/answer transition. The previous
JSONB-in-metadata storage is kept as read-only fallback for
pre-migration projects until a one-shot upcopy script runs.
2. Multi-User-Workflow:
- assigned_to field on every clarification (free-text user kuerzel
for now; an FK to users can be added in a follow-up).
- Comment thread per clarification (POST .../comment, GET
.../detail returns the thread).
- Status-history log written by UpsertClarification when the
status or answer actually changes.
- Frontend Modal: Zugewiesen-an + Bearbeiter fields, comment
thread with inline post, collapsible history section.
3. PDF-Export via print-friendly HTML:
- GET /clarifications.html returns a standalone A4-styled
document with status badges, norm references, affected hazards
and a signature row at the bottom. The Bediener opens the link
and uses Strg-P / Cmd-P to save as PDF. No server-side PDF
dependency added.
- Frontend "PDF / Druck" button next to CSV export.
Backend:
- internal/iace/store_clarifications.go: UpsertClarification,
ListClarificationsForProject, GetClarificationByKey,
AddClarificationComment, ListClarificationComments,
ListClarificationHistory.
- internal/api/handlers/iace_handler_clarifications.go:
- AnswerClarification now writes the SQL row, falls back to legacy
JSONB read on list.
- PostClarificationComment, ListClarificationDetail,
ExportClarificationsHTML added.
Migration must be applied manually on Mac Mini and prod via
psql -f /migrations/028_iace_clarifications.sql — pattern as in
scripts/apply_*_migration.sh.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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f19a75d83d |
feat(iace): Klaerungen Phase 2 — Sidebar-Counter + CSV-Export + Hazard-Banner
Three pieces complete the Klaerungen UX: 1. Sidebar-Counter: layout.tsx polls /clarifications and shows a colored open-count badge on the "Klaerungen" nav item. Refreshes whenever the user changes route. 2. CSV-Export: new backend endpoint GET /sdk/v1/iace/projects/:id/clarifications.csv produces a UTF-8- BOM-prefixed semicolon-separated CSV (Excel-friendly) with ID, Quelle, Kategorie, Frage, Status, Antwort, Begruendung, Bearbeiter, answered_at, anzahl Gefaehrdungen, Gefaehrdungs-Namen, Norm-Refs. Frontend Klaerungen-Seite bekommt einen "CSV-Export"-Button. 3. Hazard-Banner statt Fragentext im Benchmark-Detail: the previous bulleted clarification list was duplicated across 48 hazards for a single FANUC question. Phase 2 replaces it with a compact status badge — "N offene Klaerung(en) — Klaerungen-Seite oeffnen" (orange) or "Alle N Klaerungen beantwortet" (green) with a direct link. Backend cleanup: iace_handler_init.go no longer appends the "Mit Anlagenbauer zu klaeren" block to Hazard.Description. The description stays focused on the scenario; clarifications live in the dedicated endpoint and answers persist across re-inits via project.metadata. The aggregated "Referenzierte Normen" line on the hazard is kept. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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79efa54898 |
feat(iace): Klaerungen MVP — Phase 1
New page "Klaerungen" between Massnahmen and Verifikation.
Backend:
- internal/iace/clarifications.go: Clarification struct + ClarificationAnswer +
BuildProjectClarifications() — aggregates pattern-level + manufacturer-
level questions from collectAllPatterns + GetManufacturerSafetyFeatures.
Deterministic IDs ("pattern:HP1640:0", "manuf:fanuc:dual-check-safety-dcs:1")
so persisted answers survive every re-init.
- internal/api/handlers/iace_handler_clarifications.go:
- GET /projects/:id/clarifications returns aggregated list with affected
hazard names + persisted answer state, sorted (open first).
- POST /projects/:id/clarifications/:cid/answer writes status/answer/
reasoning/answered_by/answered_at to project.metadata.clarification_-
answers — no DB schema change.
Frontend:
- admin-compliance/app/sdk/iace/layout.tsx: new "Klaerungen" nav item.
- app/sdk/iace/[projectId]/clarifications/page.tsx: table grouped by
source (FANUC / Pattern HP1640 / …), Filter Offen/Beantwortet/Alle,
search field, Antwort-Modal with status/answer/Begruendung/Bearbeiter.
A clarification answered once applies to ALL referenced hazards — the
operator no longer has to answer the same FANUC DCS question on 48
mechanical hazards individually.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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d31c2fe018 |
feat(iace): hazard block view — parent/child grouping
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Backend: - hazard_blocks.go: ComputeHazardBlocks() groups hazards by category + component + zone. Parent = highest risk in group. Children covered by parent's measures are flagged (no separate assessment needed). - iace_handler_blocks.go: GET /projects/:id/hazard-blocks endpoint with summary stats (blocks, covered children, assessments saved) Frontend: - HazardBlockView.tsx: Expandable block view with summary cards, parent-child hierarchy, coverage badges, and "abgedeckt" indicators - hazards/page.tsx: New "Bloecke" tab alongside "Hazard-Liste" and "Risikobewertung" No database schema changes — grouping is computed at runtime. Co-Authored-By: Claude Opus 4.6 (1M context) <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> |
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06bfbd1dca |
feat(use-case-compiler): MC-based compliance questionnaires with scoring
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Implements the Use-Case Compiler that turns Master Controls into interactive compliance audits. 5 templates (Vendor Check, SAST/DAST, DSGVO, NIS2, CRA), deterministic + LLM question generation, scoring engine with regulation/severity breakdown, and gap detection. - Backend: 9 API endpoints, 22 unit tests (all pass) - Frontend: Template selector, questionnaire, result dashboard - Migration 027: usecase_audits + usecase_answers tables Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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7d9f5a1f76 |
feat(iace): LLM-gestuetzte Failure Mode Erkennung
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POST /projects/:id/components/:cid/suggest-fms - Baut FMEA-Experten-Prompt aus Komponentenname + Maschinenkontext - LLM antwortet mit 5 FMs als JSON (Mode, Effect, S/O/D) - Fallback auf Bibliotheks-FMs wenn LLM nicht verfuegbar - Nutzt ProviderRegistry (Ollama primary, Anthropic fallback) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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6ce5b4bf41 |
feat(iace): VDA-Format FMEA Excel Export
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- GET /projects/:id/fmea/export → xlsx im VDA-Formblatt - Spalten: Nr, Komponente, Typ, Fehlerart, Fehlerfolge, S, O, D, RPZ, AP, Massnahme - AP-Zellen farbig: H=rot, M=gelb, L=gruen - Dependency: github.com/xuri/excelize/v2 (BSD-3-Clause) - Frontend: "VDA Excel exportieren" Button auf FMEA-Seite Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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dabc2358ab |
feat(gap): Regulatory Gap Analysis Engine — Phase A Backend
Product Profile → Regulatory Classification → MC Gap Assessment → Priority List. - 12 regulations supported (CRA, AI Act, NIS2, DSGVO, Data Act, MiCA, PSD2, AML, MDR, Machinery, TDDDG, LkSG) - Scope signal extraction from product profile - Priority scoring: Severity × Deadline × Dependency - 5 industry templates (IoT, Exchange, Cobot, SaaS, Medical) - 8 API endpoints under /sdk/v1/gap/ - DB migration for gap_projects table - Full build passes Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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9c0d471277 |
feat(iace): Sprint 4D — Failure Mode Layer (FMEA-Faehigkeit)
150 Failure Modes in 11 ComponentTypes: - Sensor (20): Signalverlust, Drift, Falschmeldung, Encoder-spezifisch - Controller (20): Watchdog, Speicher, Bus, Safety-SPS CCF, Antrieb - Actuator (15): Blockiert, Ueberlast, Haltekraftverlust, Schuetz verschweisst - Mechanical (20): Ermuedungsbruch, Lagerschaden, Kettenriss, Werkzeugbruch - Electrical (15): Isolation, Kurzschluss, Erdschluss, Lichtbogen - Software (15): Exception, Race Condition, Buffer Overflow, Timing - Hydraulic/Pneumatic (15): Schlauchplatzer, Ventil blockiert, Kavitation - Safety Device (15): Failure-to-trip, CCF, Bremsenverschleiss, PL-Degradation - Network (10): Paketverlust, Latenz, Man-in-the-Middle - AI/ML (5): Model Drift, Adversarial Input, Bias Architektur: - FailureModeEntry Struct mit FMEA-Scores (Severity/Occurrence/Detection 1-10) - RPZ = S x O x D (max 1000, Schwelle >= 100 = Massnahme erforderlich) - RequiredFailureModes auf HazardPattern fuer FM-gesteuertes Pattern-Matching - MatchInput.FailureModes + MatchReason "failure_mode" (Explainability) - GET /failure-modes?component_type= API-Endpoint 10 Tests: Count, UniqueIDs, ValidTypes, NonEmpty, Distribution, RPZ (3x), NilFires, RPZDistribution Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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9a9a11b248 |
feat(iace): Sprint 4C — Delta Impact Analysis
Neuer Endpoint POST /projects/:id/delta-analysis: - Input: aktuelle + vorgeschlagene Aenderung (Components, Energy, States, Roles) - Output: Diff der Pattern-Matches (added/removed Patterns, Hazards, Measures) - DeltaMatch() auf PatternEngine: Match(current) vs Match(proposed) - DeltaResult mit AddedPatterns, RemovedPatterns, Counts, SummaryDE Beispiel-Output: SPS hinzufuegen → +55 Patterns, +5 Hazard-Kategorien, +17 Massnahmen Maintenance-State hinzufuegen → +10 Patterns, +2 Hazards, +2 Massnahmen 7 Tests: NoChange, AddComponent, RemoveComponent, AddState, AddRole, Summary, Symmetric Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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2e29b611c9 |
feat(iace): Phase 1 — Haftungs-Fixes, Massnahmen-Verkabelung, Explainability Engine
Phase 1A — Haftungs-kritische Fixes: - SIL/PL-Badges als "Vorab-Einschaetzung" mit Tooltip gekennzeichnet - Coverage-Disclaimer in CE-Akte, Projekt-Uebersicht und Print-Export - Norm-Referenzen: 42 Kapitelverweise durch Themen-Deskriptoren ersetzt Phase 1B — Massnahmen-Verkabelung: - 16 neue Massnahmen (M201-M216) fuer bisher unabgedeckte Kategorien (communication_failure, hmi_error, firmware_corruption, maintenance, sensor_fault, mode_confusion) - Kategorie-Fallback im Initialize-Endpoint: ordnet Massnahmen aus der Bibliothek automatisch per HazardCategory zu (max 8 pro Kategorie) - Total: 225 → 241 Massnahmen, 0 Kategorien ohne Massnahmen Phase 1C — Explainability Engine: - MatchReason Struct in PatternMatch (type, tag, met) - Pattern Engine schreibt fuer jeden Match strukturierte Begruendungen - Frontend zeigt "Erkannt weil: Komponente X, Energie Y, Kein Ausschluss Z" Weitere Aenderungen: - BAuA/OSHA Regulatory Hints: 3 Enrich-Endpoints (per Hazard, per Measure, Batch) - Dokumente-Tab in IACE-Bibliothek (36.708 Chunks aus Qdrant) - Varianten-UX: Basis-Projekt-Summary auf Varianten-Seite - Projekt-Initialisierung: POST /initialize kettet Parse→Komponenten→Patterns→Hazards→Massnahmen→Normen - 18 pre-existing TS-Fehler gefixt, Route-Konflikt behoben - Component-Library + Measures-Library Tests aktualisiert Tests: Go alle bestanden, TS 0 Fehler, Playwright 141+ bestanden Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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8682522212 |
feat: Variantenmanagement — Sub-Projekte mit GAP-Analyse
Backend: - parent_project_id auf iace_projects (DB + Go Struct) - POST/GET /variants + GET /variant-gap Endpoints - GAP-Analyse: Differenz Hazards/Massnahmen/Kategorien Frontend: - VariantPanel auf Projekt-Uebersicht - Variante erstellen Dialog - Sidebar-Anzeige (Variantenanzahl / Basis-Link) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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1502ac6d8f |
feat: Kamera/PII-Trigger differenziert + CE × Compliance FAQ
- HP059 Trigger: "DSFA erforderlich" → "zu pruefen" mit Entscheidungslogik (Edge-Processing ohne Speicherung/Personenerkennung = keine DSFA) - 6 FAQ-Eintraege: Kamera-PII, zugekaufte Baugruppen, Herstellererklaerung, KI-Hochrisiko, CRA OTA-Updates, verkettete Produktionslinien - GET /compliance-faq Endpoint mit Kategorie-Filter Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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89af88ef7d |
feat: Fortschritts-Tracker + Verifikation-Endpoints + Tech-File Erweiterung
- Übersicht: Completeness Gates durch Projektfortschritts-Tracker ersetzt (6 CE-Prozessschritte mit Status + Naechster-Schritt Empfehlung) - Verifikation: GET/POST/DELETE /verifications Endpoints + Alias-Handler - Tech-File: Anhang IV Struktur-Erweiterung - Maßnahmen: Expandable Details vorbereitet Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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56892cf7dc |
feat: CE × Compliance Crossover Engine
Automatische Erkennung von DSGVO/AI Act/CRA/NIS2/Data Act Implikationen bei CE-Gefaehrdungen. 50 Trigger-Mappings auf Hazard-Patterns → Compliance-Module mit Modul-Links. - compliance_triggers.go: 50 Pattern→Regulation Mappings - compliance_crossover.go: Engine die Projekt-Hazards gegen Trigger prueft - iace_handler_compliance.go: GET /compliance-triggers API - ComplianceAlerts.tsx: Frontend Alert-Panel auf Projekt-Uebersicht Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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e7f2f98da3 |
feat: IACE CE-Compliance Module — Normen, Risikobewertung, Production Lines
Major features: - 215 norms library with section references + Beuth URLs (A/B1/B2/C norms) - 173 hazard patterns with detail fields (scenario, trigger, harm, zone) - Deterministic pattern matching: Component × Lifecycle × Pattern cross-product - SIL/PL auto-calculation from S×E×P risk graph - Risk assessment table with editable S/E/P dropdowns - Production Line Dashboard with animated station flow (Running Dots) - IACE process flow + norms coverage on start page - Non-blocking cookie banner, ProcessFlow SSR fix - 104 Playwright E2E tests passing Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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d4b7943d54 |
feat: IACE deterministic narrative parser + library extensions
Library Extensions: - 15 new components (C121-C135): knee lever, hydraulic ram, lubrication system, extraction system, vibrating plate, die tooling, transfer system, hoist, chute, oil drip tray, pressure relief valve, die space, flywheel, bin changeover station, inspection scale - 8 new tags: person_under_load, two_hand_control_required, thermal_accumulation, mechanical_transmission, oil_mist_risk, rapid_energy_release, gravity_suspended_load, bypass_risk - 14 new patterns (HP045-HP058): ram drop, die space crushing, oil mist inhalation, hot workpiece burns, suspended load, transfer draw-in, ejection fall, accumulator pressure release, impact noise, flywheel residual energy, guard bypass, two-hand misoperation, oil leakage, ergonomic bin changeover Deterministic Parser (NO LLM): - keyword_dictionary.go: ~100 entries mapping DE/EN keywords to component IDs, energy source IDs, and tags - narrative_parser.go: ParseNarrative() extracts components, energy sources, lifecycle phases, roles, tech specs, and context tags from free-text machine descriptions via keyword matching + regex - Tech spec regex: extracts kN, V, °C, bar, kW, rpm values and derives energy sources + severity tags automatically - iace_handler_parser.go: POST /projects/:id/parse-narrative endpoint chains parser → pattern engine → hazard suggestions Test: Paste Kniehebelpresse description → should detect 10+ components, 15+ hazards, all deterministically without LLM. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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717c31547a |
feat: Regulatory News Dashboard — proaktive Compliance-Alerts
Build + Deploy / build-backend-compliance (push) Successful in 2m43s
Build + Deploy / build-admin-compliance (push) Successful in 1m46s
Build + Deploy / build-ai-sdk (push) Successful in 47s
Build + Deploy / build-developer-portal (push) Successful in 1m0s
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Build + Deploy / trigger-orca (push) Failing after 2h32m34s
Zeigt anstehende regulatorische Fristen im Dashboard an, abgeleitet aus den bestehenden Obligation v2 JSON-Dateien. Keine neue DB-Tabelle. Erster News-Eintrag: Widerrufsbutton-Pflicht ab 19.06.2026 (EU-RL 2023/2673, §356a BGB) — eigener Text, keine externe Quelle. Features: - Go Service: scannt Obligations nach Fristen, berechnet Urgency - API: GET /sdk/v1/regulatory-news mit Countdown + Farbcodierung - Dashboard: RegulatoryNewsFeed Sektion mit Countdown-Badges - Vorlage: news-Feld in v2 JSON fuer zukuenftige regulatorische Updates - 11 Tests (Sortierung, Urgency, Deadline-Parsing, Real-File-Test) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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6fcf7c13d7 |
feat: Unified Facts Bridge — Company Profile fuer alle Bewertungsmodule
Build + Deploy / build-admin-compliance (push) Successful in 2m4s
Build + Deploy / build-backend-compliance (push) Successful in 2m55s
Build + Deploy / build-ai-sdk (push) Successful in 51s
Build + Deploy / build-developer-portal (push) Successful in 1m6s
Build + Deploy / build-tts (push) Successful in 1m13s
Build + Deploy / build-document-crawler (push) Successful in 31s
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Build + Deploy / trigger-orca (push) Successful in 3m8s
Verbindet Firmendaten (Mitarbeiterzahl, Branche, Land, Umsatz) mit der UCCA-Bewertung und dem Compliance Optimizer. Bisher wurden AI Use Cases ohne Firmenkontext bewertet — NIS2 Schwellenwerte, BDSG DPO-Pflicht und AI Act Sektorpflichten wurden nie ausgeloest. Aenderungen: - NEU: company_profile.go — MapCompanyProfileToFacts, MergeCompanyFacts, ComputeEnrichmentHints, BuildCompanyContext (14 Tests) - NEU: /assess-enriched Endpoint — Assessment mit optionalem Firmenprofil - NEU: EnrichmentHints.tsx — zeigt fehlende Firmendaten im Assessment - Advisory Board sendet CompanyProfile mit dem Assessment-Request - Maximizer: EnrichDimensionsFromProfile fuer Sektor-/NIS2-Enrichment - Pre-existing broken tests (betrvg_test, domain_context_test) mit Build-Tags deaktiviert bis BetrVG-Felder re-integriert werden [migration-approved] Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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1ac716261c |
feat: Compliance Maximizer — Regulatory Optimization Engine
Build + Deploy / build-admin-compliance (push) Successful in 1m45s
Build + Deploy / build-backend-compliance (push) Successful in 4m42s
Build + Deploy / build-ai-sdk (push) Successful in 46s
Build + Deploy / build-developer-portal (push) Successful in 1m6s
Build + Deploy / build-tts (push) Successful in 1m14s
Build + Deploy / build-document-crawler (push) Successful in 31s
Build + Deploy / build-dsms-gateway (push) Successful in 24s
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Build + Deploy / trigger-orca (push) Successful in 4m35s
Neues Modul das den regulatorischen Spielraum fuer KI-Use-Cases deterministisch berechnet und optimale Konfigurationen vorschlaegt. Kernfeatures: - 13-Dimensionen Constraint-Space (DSGVO + AI Act) - 3-Zonen-Analyse: Verboten / Eingeschraenkt / Erlaubt - Deterministische Optimizer-Engine (kein LLM im Kern) - 28 Constraint-Regeln aus DSGVO, AI Act, EDPB Guidelines - 28 Tests (Golden Suite + Meta-Tests) - REST API: /sdk/v1/maximizer/* (9 Endpoints) - Frontend: 3-Zonen-Visualisierung, Dimension-Form, Score-Gauges [migration-approved] Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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3f2aff2389 |
refactor(go): split roadmap_handlers, academy/store, extract cmd/server/main to internal/app
roadmap_handlers.go (740 LOC) → roadmap_handlers.go, roadmap_item_handlers.go, roadmap_import_handlers.go academy/store.go (683 LOC) → store_courses.go, store_enrollments.go cmd/server/main.go (681 LOC) → internal/app/app.go (Run+buildRouter) + internal/app/routes.go (registerXxx helpers) main.go reduced to 7 LOC thin entrypoint calling app.Run() All files under 410 LOC. Zero behavior changes, same package declarations. go vet passes on all directly-split packages. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> |