The user-named "right next runtime step": stop building knowledge, start using it automatically in onboarding — no sales training, no regulation picking. compliance/onboarding/ is an ORCHESTRATOR (not a new engine) wiring Company 2A -> RS-005 -> optimization -> completeness: advisor_start(input, cert_hypotheses, target_requirements, ...) -> AdvisorResult From (company + products + certifications + target) it returns inferred_assumptions, rejected_ assumptions, next_best_questions (<=5, ranked by information_gain + leverage + unknown_high_risk + evidence_missing, each self-explaining), capability_delta, top_measures, evidence_requests, unsupported_domains, completeness_summary. apply_answer() updates the profile (delta shrinks). Welt-1 throughout: certificates REDUCE questions but satisfy nothing automatically (verification_ required); relevance(evidence,target) keeps ISO 14001 out of the CRA result. Certificate->capability hypotheses + target requirements are INJECTED (curated knowledge, outsourced; not in code). All 7 acceptance criteria pass; mypy --strict clean. First app-caller wiring the engines into a product flow — still no endpoint/persistence, so 0 runtime effect -> no deploy yet (deploys when POST /onboarding/advisor-start + frontend are wired). 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.