Roadmap item 5. GAP analysis and measure-prioritisation are the SAME computation: Required − Known = the Capability Delta. The Capability Delta Engine (RS-005) computes it once; renderers read that ONE delta. Interview Renderer (missing info → questions) was already built; this adds the Roadmap/Management Renderer (missing capabilities → measures ranked by regulatory leverage). - compliance/optimization/: regulatory_leverage() + select_within_budget() (pure leverage math) + roadmap_from_delta(assessment, ...) — the keystone binding optimization to the RS-005 delta (dependency optimization → transition_reasoning, acyclic; the delta engine stays hermetic). leverage(measure) = number of regulatory requirements it closes at once (e.g. patch management → CRA+MaschinenVO+IEC62443+ISO27001 = 4). No new corpus, no new meta-model class (freeze v1.0). - Welt-1 honesty: percentages are exact count ratios over the IDENTIFIED requirements (the known delta), never "% gesetzeskonform". - reference suite: "Regulatory Optimization" section runs the SAME convergence delta → ranked measures + budget answer + the management sentence "of N identified requirements you close M with the top-K measures (X%) — highest regulatory leverage". - ADR-003: Capability Delta Engine — one delta, many renderers; rename Gap → Capability Delta. 13 optimization tests (31 with transition+company), mypy --strict clean, check-loc 0. Product code with no app caller + ADR/reference = non-runtime → no deploy (ADR-001). Co-Authored-By: Claude Opus 4.7 <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.