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Next: F1 Regulation Registry (DB + API + Frontend + Auto-Create) Frontend at /sdk/regulation-registry in breakpilot-compliance admin Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
4.1 KiB
4.1 KiB
Session-Instruktionen: Block F — Hardcoded Knowledge Migration
Datum: 2026-05-03 Fuer: Naechste Claude-Session Repo: breakpilot-core (~/Projekte/breakpilot-core)
NAECHSTER SCHRITT: Block F1 — Regulation Registry
Was zu tun ist
- DB-Tabelle
compliance.regulation_registryerstellen (Migration-Script) - Daten migrieren aus
control_generator.py(135 Eintraege) +source_type_classification.py(58) - Auto-Create im RAG-Service bei Document-Upload (status='needs_review')
- Backend-API in breakpilot-compliance Backend (GET/POST/PUT /v1/regulations)
- Frontend in breakpilot-compliance Admin unter
/sdk/regulation-registry(zwischen roadmap und isms) - Sync-Check Script (wöchentlich: Qdrant regulation_ids vs. DB)
- Code umstellen in control_generator.py (Dict → DB-Query mit Cache)
Frontend-Anforderungen (breakpilot-compliance Admin, Port 3007)
- NAV-Position: zwischen
/sdk/roadmapund/sdk/isms - Tabelle mit allen Regulations (sortierbar, filterbar)
- Status-Badge: "Needs Review" (gelb), "Active" (grün), "Deprecated" (grau)
- Counter im NAV für unreviewed Einträge
- Inline-Edit: license_rule, jurisdiction, source_type, names
- "Approve" Button → status='active'
- Diskrepanz-Anzeige: regulation_ids in Qdrant die nicht in DB sind
Kritische Dateien
| Repo | Datei | Aktion |
|---|---|---|
| core | control-pipeline/services/control_generator.py Z.75-236 |
EDIT: Dict → DB |
| core | control-pipeline/data/source_type_classification.py |
DELETE (nach Migration) |
| core | rag-service/api/documents.py |
EDIT: Auto-Create bei Upload |
| compliance | backend-compliance/compliance/api/regulations.py |
NEU: API Endpoints |
| compliance | admin-compliance/app/sdk/regulation-registry/ |
NEU: Frontend-Seite |
DB-Schema
CREATE TABLE compliance.regulation_registry (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
regulation_id VARCHAR(100) UNIQUE NOT NULL,
regulation_name_de TEXT,
regulation_name_en TEXT,
regulation_short VARCHAR(50),
license_rule INTEGER NOT NULL DEFAULT 1 CHECK (license_rule IN (1, 2, 3)),
license_type VARCHAR(50),
source_type VARCHAR(20) NOT NULL DEFAULT 'law',
jurisdiction VARCHAR(10),
category VARCHAR(50),
celex VARCHAR(20),
url TEXT,
status VARCHAR(20) NOT NULL DEFAULT 'needs_review',
created_at TIMESTAMPTZ DEFAULT NOW(),
updated_at TIMESTAMPTZ DEFAULT NOW()
);
CREATE INDEX idx_reg_registry_status ON compliance.regulation_registry(status);
CREATE INDEX idx_reg_registry_jurisdiction ON compliance.regulation_registry(jurisdiction);
GESAMTPLAN Block F (4 Tage)
| Phase | Was | Aufwand | Status |
|---|---|---|---|
| F1 | Regulation Registry (DB + API + Frontend + Auto-Create) | 1 Tag | 🔥 NAECHSTER |
| F2 | Action Types + Synonyme → DB | 1 Tag | Ausstehend |
| F3 | Object Synonyms → DB | 0.5 Tag | Ausstehend |
| F4 | LLM Synonym-Enrichment | 1 Tag | Ausstehend |
| F5 | Validation + Cleanup | 0.5 Tag | Ausstehend |
SESSION 02-03.05.2026 ERLEDIGT
- Block D5+: NIST/ENISA PDF-Qualitaet (0%→45%)
- Block D6: Citation-Backfill (3.651 Controls)
- Block E2: 8 DE-Gesetze (1.629 Chunks)
- Block E3: 5 EU-Regulierungen (1.057 Chunks)
- Block E4: GoBD, BAIT, VAIT (144 Chunks)
- Block E6: 3 CH + 4 AT Gesetze (3.881 Chunks)
- Block E7: 9 Urteile als Volltext (709 Chunks total)
- Schrems II: 154, BVerfG Datenanalyse: 161, DSK OH Telemedien: 119
- Meta: 101, BAG Zeiterfassung: 48, Planet49: 42, SCHUFA: 41
- Schadenersatz: 29, Google Fonts: 14
- Infra: Qdrant-Snapshot, Upload-before-Delete, 99 Tests
Gesamt neue Chunks diese Session: ~25.000+
TESTS
# Embedding-Service (99 Tests)
cd embedding-service && python3 -m pytest test_chunking.py test_d4_bgb.py test_nist_normalization.py -v
# Control-Pipeline (387 Tests)
PYTHONPATH=control-pipeline python3 -m pytest control-pipeline/tests/ -v
# Qdrant-Snapshot
ssh macmini "cd ~/Projekte/breakpilot-core && bash scripts/qdrant-snapshot.sh"
PLAN-DATEI
Block F Detailplan: /Users/benjaminadmin/.claude/plans/humming-nibbling-sonnet.md