Benjamin Admin
9c02c2c4a2
The architecture is stable; from here the value comes from DOMAINS, not more software. Phase B is organized as law-first Domain Knowledge Programs, each delivering the same production line: Corpus -> Obligations -> Capabilities -> Transition Patterns -> Playbooks -> Reference Scenarios -> Completeness. No new runtime framework (Freeze v1.0). - knowledge/programs/README.md: reusable Domain Program blueprint (production line, per-stage ownership, law-first ordering, planned programs Environmental/Automotive/IEC62443/Functional-Safety). - knowledge/programs/environmental.yaml: the Environmental domain as DATA. Law-first: B1 Environmental Regulatory Corpus (water/chemicals/emissions/energy/waste/product-responsibility — law + obligations only) -> B2 Capability Model -> B3 Transition Patterns (ISO 14001 -> corpus, built LAST). ISO 14001 is a source state, NOT the domain. - Ownership handoffs: B1 -> Legal Knowledge, B2 -> Compliance Execution, B3+/playbooks/reference -> Reasoning. Coordinate via the board; no session builds another's artifacts. - reference suite: "Domain Knowledge Programs" section renders the program stages + a measurable Completeness baseline (6 areas, 0 assessed today) that flips automatically as stages land. - ADR-008: from architecture to domains; Phase B as law-first programs; architecture frozen. 6 program-contract tests (law-first order + ownership pinned), 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.