Customers don't buy "EMV domain"; they buy "we have ISO 9001, help us with the CRA". The sellable unit of knowledge is the TRANSITION (from -> to), not the law and not the capability. This reframes the backlog from "model EMV next" to "the top demanded transitions". No new runtime framework (ADR-010). - knowledge/programs/transitions.yaml: the Operational Knowledge backlog — the ~20-30 actually demanded transitions (of ~N*(N-1) possible) with priority. ISO27001->CRA, ISO9001->CRA, ISO9001->MaschinenVO (all 5-star), IEC62443->CRA, TISAX->CRA, ISO27001/IEC62443->NIS2, ISO14001->Umweltrecht. - Transition Coverage KPI (reference suite, computed-not-stored): per transition a status DERIVED from the transition-pattern corpus (reviewed/validated/proven -> Gold, draft -> 🟡, none -> ⚪). Honest current state: ISO27001->CRA ✅ reviewed, ISO9001->CRA 🟡 draft, rest ⚪. Highest-priority gap = ISO9001->MaschinenVO (the next Track-B work) — a far stronger product indicator than "EMV 30% modelled". - Three knowledge layers documented: Regulatory -> Operational (transitions/playbooks/deltas, the biggest differentiator) -> Verification (Vision V2). A domain is a TRANSITION PROGRAM with two tracks: Track A breadth (model sources, @Legal-KG/@Execution) + Track B product (transitions/playbooks/RTS per source, @Reasoning). - ADR-010: the transition is the unit of knowledge; Transition Coverage KPI; three layers; two tracks. 10 program/transition-contract tests, check-loc 0. Knowledge data + ADR + reference harness = non-runtime -> no deploy (ADR-001). No new module, no runtime change. 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.