Commit Graph

3 Commits

Author SHA1 Message Date
Benjamin Admin
4f6bc8f6f6 feat(training+controls): interactive video pipeline, training blocks, control generator, CE libraries
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Interactive Training Videos (CP-TRAIN):
- DB migration 022: training_checkpoints + checkpoint_progress tables
- NarratorScript generation via Anthropic (AI Teacher persona, German)
- TTS batch synthesis + interactive video pipeline (slides + checkpoint slides + FFmpeg)
- 4 new API endpoints: generate-interactive, interactive-manifest, checkpoint submit, checkpoint progress
- InteractiveVideoPlayer component (HTML5 Video, quiz overlay, seek protection, progress tracking)
- Learner portal integration with automatic completion on all checkpoints passed
- 30 new tests (handler validation + grading logic + manifest/progress + seek protection)

Training Blocks:
- Block generator, block store, block config CRUD + preview/generate endpoints
- Migration 021: training_blocks schema

Control Generator + Canonical Library:
- Control generator routes + service enhancements
- Canonical control library helpers, sidebar entry
- Citation backfill service + tests
- CE libraries data (hazard, protection, evidence, lifecycle, components)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-16 21:41:48 +01:00
Benjamin Admin
95fcba34cd fix(quality): Ruff/CVE/TS-Fixes, 104 neue Tests, Complexity-Refactoring
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- Ruff: 144 auto-fixes (unused imports, == None → is None), F821/F811/F841 manuell
- CVEs: python-multipart>=0.0.22, weasyprint>=68.0, pillow>=12.1.1, npm audit fix (0 vulns)
- TS: 5 tote Drafting-Engine-Dateien entfernt, allowed-facts/sanitizer/StepHeader/context fixes
- Tests: +104 (ISMS 58, Evidence 18, VVT 14, Generation 14) → 1449 passed
- Refactoring: collect_ci_evidence (F→A), row_to_response (E→A), extract_requirements (E→A)
- Dead Code: pca-platform, 7 Go-Handler, dsr_api.py, duplicate Schemas entfernt

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-07 19:00:33 +01:00
Benjamin Admin
3ed8300daf feat(extraction): POST /compliance/extract-requirements-from-rag
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Sucht alle RAG-Kollektionen nach Prüfaspekten und legt automatisch
Anforderungen in der DB an. Kernfeatures:

- Durchsucht alle 6 RAG-Kollektionen parallel (bp_compliance_ce,
  bp_compliance_recht, bp_compliance_gesetze, bp_compliance_datenschutz,
  bp_dsfa_corpus, bp_legal_templates)
- Erkennt BSI Prüfaspekte (O.Purp_6) im Artikel-Feld und per Regex
- Dedupliziert nach (regulation_code, article) — safe to call many times
- Auto-erstellt Regulations-Stubs für unbekannte regulation_codes
- dry_run=true zeigt was erstellt würde ohne DB-Schreibzugriff
- Optionale Filter: collections, regulation_codes, search_queries
- 18 Tests (alle bestanden)
- Frontend: "Aus RAG extrahieren" Button auf /sdk/requirements

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-05 15:11:10 +01:00