Medical before Payment: the harder scientific test (safety AND security coupled, full lifecycle, deep risk/evidence demands). ISO 13485 runs through the SAME engine as ISO 27001 -> CRA, only new data, 0 runtime. The key result: IEC 81001-5-1 (health-software security) pulls in the SAME security MCAPs as the CRA, so Medical REUSES cyber capabilities (the safety/security coupling appears as capability reuse) while adding 7 genuinely new medical caps (clinical evaluation, software safety classification, ISO 14971 risk file, benefit-risk). rejected_assumptions intact. Effect on the convergence core: secure_signed_update_distribution 18 -> 24 and technical_vulnerability_management 17 -> 23, now spanning 3 domains (cyber + industrial + medical) — the core visibly GROWS, exactly the convergence signal. New 5th report: MISSING CONVERGENCE — deterministic (no ML) token-cluster detector for potential structural duplications: a name token shared by >=3 MCAPs across >=2 distinct sources is flagged for EXPERT REVIEW (never auto-merged). Surfaces e.g. the `risk` cluster (6 risk MCAPs across 6 sources) and `security`/`software`; single-source decompositions are filtered out. Complements Suspicious by looking at cross-source duplication, not single MCAPs. Also records the durable modelling rule extracted from the frequency fix: evidence is attributed to its ORIGIN; its value against a target is computed later (relevance(evidence,target)). Ledger now 8 sources, Architecture Stability 8/8 = 100%. Non-runtime -> no deploy. 29 tests pass, check-loc 0.
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.