Files
breakpilot-compliance/backend-compliance
Benjamin Admin a0f72fc39b feat(rts): extend Reference Transition Scenarios to multi-regulation (CRA + MaschinenVO)
Roadmap item 2: the RTS now pin MaschinenVO + convergence Expected Outcomes, so the
convergence USP is a living regression, not just a one-off section.

- RTS-003 (machine + ISMS, networked): full multi-regulation archetype — maschinenvo
  expected_delta + convergence expected_multi_target (links TP-ISO27001-CRA-MaschinenVO-v1).
  Generator runs the convergence pattern through RS-005: 4/4 machine-safety delta MISSING +
  4/4 expected multi-target caps converge. PASS.
- RTS-001 (component): MaschinenVO modeled as `uncertain` (a pure component is usually not a
  machine; deciding question is_safety_component) — engine must never assert it applies. Honest,
  parallel to the Data-Act handling.
- RTS-002 (machine, QMS-only): MaschinenVO `applies` (is_machine) but LOW convergence — no ISMS
  means the cyber side is entirely delta, so few caps are shared. The honest contrast that the
  convergence USP rewards companies who already run an ISMS.
- generator: per-RTS maschinenvo/convergence Soll-Ist checks; convergence pattern run once and
  reused. Data Act stays `uncertain` everywhere, never asserted.

All 3 RTS PASS. 18 tests (transition+company), mypy --strict clean, check-loc 0.
Non-runtime (knowledge + reference harness) -> no deploy (ADR-001).

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-27 09:26:01 +02:00
..

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.