Adressiert das BMW-Beispiel (740 Cookies, Salesforce als "essential"
mit 1-Jahres-Lifetime, Pseudo-Zwecke wie "Siehe dazugehörige
Datenverarbeitung"). User-Konzept "Regulation als Code".
Step 1 — cookie_library_lookup.py (3 Layer):
1. Override = cookie_knowledge_db.py + extended (74) für
Schrems-II / EUGH / EU-Alternative — BreakPilot-juristische-IP.
2. Truth-Base = compliance.cookie_library (2287 aus Open Cookie
Database, CC0). actual_category als Wahrheit.
3. Auto-Learning = cookie_behavior_audits — Cross-Site-Konsens
wenn ≥3 Sites denselben Cookie melden.
Match: exact > prefix (mit Separator-Check) > wildcard. Kurze
Library-Namen ("c", "ID") brauchen exact-match — verhindert
False-Positive auf "completely_unknown". Trailing-Underscore
in OCD ("guest_uuid_essential_") wird als implicit-wildcard
interpretiert.
Step 2 — cookie_coherence_check.py (B19, 6 Finding-Typen):
- MARKETING_AS_ESSENTIAL (HIGH): KB sagt actual=marketing, Site
deklariert essential/erforderlich → Einwilligung wird umgangen
- LIFETIME_TOO_LONG_FOR_ESSENTIAL (MED): essential + >90d
- PSEUDO_PURPOSE (LOW): "Siehe dazugehörige Datenverarbeitung"
/ <4 Wörter (suppressed wenn Vendor-Purpose substantial ist)
- MISSING_COUNTRY (LOW): vendor_country leer trotz KB-Hit
- UNKNOWN_VENDOR (LOW): nicht in KB → Auto-Learning-Kandidat
- DUPLICATE_VENDOR (MED): selber Vendor in N Kategorien =
Stack-Aufspaltung um Marketing unter "essential" zu schmuggeln
Jedes Finding mit recommended_action ("Cookie X aus 'erforderlich'
raus und in 'Marketing' setzen").
Step 3 — cookie_observation_logger.py:
Loggt nach jedem Audit alle (cookie, site, declared_purpose) in
compliance.cookie_behavior_audits → Basis für Cross-Site-Konsens
in Layer 3.
Step 4 — cookie_csv_exporter.py:
cookies-full-{check_id}.csv mit 21 Spalten (Name, Vendor decl/KB,
Cat decl/KB, Lifetime decl/KB, Country, Opt-Out, 8x FIND_* flags,
recommended_action). UTF-8 BOM für Excel.
ZIP-Attachment: erweitert audit_walk_zip_builder um extra_files=
parameter; phase_e ruft mit cookies-full-...csv auf.
Step 5 — mail_render_v2/_vendor_cards.py:
Statt 740 Cookie-Rows: Aggregation pro Vendor mit Cookie-Count +
Issue-Count + 1-2 Beispiel-Cookies + Issue-Type-Tags. Top 30
Vendoren in der Mail, Rest nur in CSV. Sortiert nach Issue-Score.
Step 6 — render_info_box_rechtsrahmen():
Generic Header-Info-Box mit Art. 13 DSGVO + § 25 TDDDG + Art. 5
+ § 5 UWG + § 30/130 OWiG. Immer angezeigt, kein explicit-
finding-mapping (User-mündigkeit).
Orchestrator + _compose: run_b19 + render_vendor_cards +
render_info_box_rechtsrahmen ins V2-Layout.
Tests: 28/28 grün (15 lookup + 13 coherence).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
backend-compliance
Python/FastAPI service implementing the DSGVO compliance API: DSR, DSFA, consent, controls, risks, evidence, audit, vendor management, ISMS, change requests, document generation.
Port: 8002 (container: bp-compliance-backend)
Stack: Python 3.12, FastAPI, SQLAlchemy 2.x, Alembic, Keycloak auth.
Architecture
compliance/
├── api/ # Routers (thin, ≤30 LOC per handler)
├── services/ # Business logic
├── repositories/ # DB access
├── domain/ # Value objects, domain errors
├── schemas/ # Pydantic models, split per domain
└── db/models/ # SQLAlchemy ORM, one module per aggregate
The service follows this layered target structure but not all files are fully refactored yet. Phase 1 backlog is tracked in .claude/rules/loc-exceptions.txt (27 backend-compliance files currently excepted).
See ../AGENTS.python.md for the full convention and ../.claude/rules/architecture.md for the non-negotiable rules.
Run locally
cd backend-compliance
pip install -r requirements.txt
export COMPLIANCE_DATABASE_URL=... # Postgres (Hetzner or local)
uvicorn main:app --reload --port 8002
Tests
pytest compliance/tests/ -v
pytest --cov=compliance --cov-report=term-missing
Layout: tests/unit/, tests/integration/, tests/contracts/. Contract tests diff /openapi.json against tests/contracts/openapi.baseline.json.
Public API surface
404+ endpoints across /api/v1/*. Grouped by domain: ai, audit, consent, dsfa, dsr, gdpr, vendor, evidence, change-requests, generation, projects, company-profile, isms. Every path is a contract — see the "Public endpoints" rule in the root CLAUDE.md.
Environment
| Var | Purpose |
|---|---|
COMPLIANCE_DATABASE_URL |
Postgres DSN, sslmode=require |
KEYCLOAK_* |
Auth verification |
QDRANT_URL, QDRANT_API_KEY |
Vector search |
CORE_VALKEY_URL |
Session cache |
Don't touch
Database schema, __tablename__, column names, existing migrations under migrations/. See root CLAUDE.md rule 3.