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