Files
breakpilot-compliance/backend-compliance
Benjamin Admin e8ff75cbfe feat: Backlog 1-5 — soft-hints, chatbot-discovery, API-payload, LLM-Agent
5 Backlog-Items aus dem Multi-Site-Briefing in einem Sprint:

1. B13 B2C-Soft-Hints — Versicherungs/Tarif/Buchungs-Marker
   _B2C_WEAK erweitert um "Reiseversicherung", "Tarifrechner",
   "Online-Antrag", "Flug buchen", "Stromtarif" etc.
   Fängt Allianz-Reise-Chatbot (vorher False-Negative).

2. Chatbot-Policy-Discovery (chatbot_policy_discovery.py)
   Probt 14 Standard-Slugs (privacypolicychatbot, chatbot-datenschutz,
   ai-policy, ki-datenschutz, ...) × 5 Lang-Prefixe auf jeder
   submitted Origin. Successful >300-Wort-Findings werden in
   doc_texts['dse'] gemerged. Audit-Trail über
   doc_entries[dse].chatbot_policy_sources.
   Hebt Westfield-iAdvize-Lücke.

3. API-Response-Payload erweitert
   phase_f_persist.response um extra_findings, audit_walk und
   html_blocks erweitert. B-Wiring-Output (B1, B3-B18) ist nicht
   mehr nur im Mail-HTML versteckt — externe Aufrufer sehen jeden
   Finding. Schema additiv, legacy clients ignorieren neue Felder.

4. Plausibility-LLM Empty-Response-Fix
   Resilienz-Strategie A→B→C→D:
   A) format='json' (strict, default)
   B) format='' (loose, _try_extract_json mit ```json-fence + prose-
      wrap-Unterstützung)
   C) Split-Batch-Recursion (vorhanden)
   D) Give up, leeres dict (callers behandeln als skipped)
   Plus _post_llm() als isolierter LLM-Call-Helper, catched
   Network-Errors.

5. Specialist-Agents Phase 2 LLM (MVP) — Impressum-Agent
   impressum_agent_llm.py: qwen3:30b-a3b mit § 5 TMG System-Prompt,
   business_scope-hints aus profile_dict. Output identisches Schema
   wie pattern-agent für ein Merge ohne API-Bruch.
   _b18_wiring.py orchestriert beide Agents + deduplet nach
   field_id, rendert lila V2-Block mit KB/LLM-Tags pro Finding.
   Pattern-first im Dedup (deterministisch + stable).

Tests: 107/107 grün (7 Test-Suites + chatbot-discovery + b18).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-06-07 18:41:54 +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.