Files
breakpilot-compliance/backend-compliance
Benjamin Admin f6d018234b feat(dse): recover v3 DSE engine from container + wire into live check path
The calibrated DSE engine (4-layer: regex-boost / keyword / BGE-M3 embedding
recall @0.65 / semantic-validator) existed ONLY in the running macmini
container (docker cp'd, never committed) — at risk of loss on any container
rebuild. This recovers it into git and wires it into the live check path.

- Recover dse/{agent,v3_engine,_embedding_recall,_classification_gate,
  regex_boost,mcs,deep_check}.py. DSEAgent (v3, BaseSpecialistAgent) replaces
  the keyword-only stub: delegates MC-loading to the main engine
  (rag_document_checker._load_controls), deterministic cached embedding recall
  (reachability-gated), semantic-validator LLM layer honoring skip_llm,
  third-country -> HIGH on documented transfer.
- Wire "dse" into _agent_outputs._TOPIC_AGENTS -> live check emits a validated
  DSE tab (was snapshot/legacy-only).
- Tests rewritten for v3 (DB/embedding/LLM stubbed offline): regex-boost
  detection, embedding-recall reachability guard, result->Finding conversion,
  third-country HIGH; topic-wiring asserts "dse".
- deep_check.py recovered for preservation (alternate LLM-judge path, unwired).

Runtime data deps for full live behavior (note for prod): doc_check_controls
in DB + /data/mc_classification.db embedding sidecar + embedding-service; all
degrade gracefully (keyword layer carries) if absent.

dev-only, no deploy.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-21 11:15:52 +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.