Interaktiver 12-Fragen-Entscheidungsbaum für die AI Act Klassifikation
auf zwei Achsen: High-Risk (Anhang III, Q1-Q7) und GPAI (Art. 51-56, Q8-Q12).
Deterministische Auswertung ohne LLM.
Backend (Go):
- Neue Structs: GPAIClassification, DecisionTreeAnswer, DecisionTreeResult
- Decision Tree Engine mit BuildDecisionTreeDefinition() und EvaluateDecisionTree()
- Store-Methoden für CRUD der Ergebnisse
- API-Endpoints: GET/POST /decision-tree, GET/DELETE /decision-tree/results
- 12 Unit Tests (alle bestanden)
Frontend (Next.js):
- DecisionTreeWizard: Wizard-UI mit Ja/Nein-Fragen, Dual-Progress-Bar, Ergebnis-Ansicht
- AI Act Page refactored: Tabs (Übersicht | Entscheidungsbaum | Ergebnisse)
- Proxy-Route für decision-tree Endpoints
Migration 083: ai_act_decision_tree_results Tabelle
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Part 1 — RAG Corpus Versioning:
- New DB table compliance_corpus_versions (migration 017)
- Go CorpusVersionStore with CRUD operations
- Assessment struct extended with corpus_version_id
- API endpoints: GET /rag/corpus-status, /rag/corpus-versions/:collection
- RAG routes (search, regulations) now registered in main.go
- Ingestion script registers corpus versions after each run
- Frontend staleness badge in SDK sidebar
Part 3 — Source Policy Backend:
- New FastAPI router with CRUD for allowed sources, PII rules,
operations matrix, audit trail, stats, and compliance report
- SQLAlchemy models for all source policy tables (migration 001)
- Frontend API base corrected from edu-search:8088/8089 to
backend-compliance:8002/api
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
