Benjamin Admin e9002175ac feat(iace): manufacturer safety feature library (Stufe A — 50+ entries)
Adds a curated database of safety-relevant features for the major
manufacturers across mechanical/plant engineering, written entirely in
own words with norm anchors. No verbatim manufacturer texts — therefore
no copyright issue:

- Markennennung (§ 23 MarkenG nominative use) is permitted.
- Fakten ueber Produkt-Sicherheitsfunktionen are not protected by § 2
  UrhG (only Werke, not facts).
- NormReferences contain only the identifiers (e.g. "EN ISO 13849-1
  PLd Kat.3"), never the norm text itself.

Coverage (52 entries across 12 categories):
  Industrieroboter (10): FANUC DCS, KUKA SafeOperation, ABB SafeMove,
    Yaskawa FSU, Staeubli CS9, Kawasaki Cubic-S, Mitsubishi MELFA,
    Universal Robots PolyScope, Doosan PRS, Comau SafeNet
  CNC/WZM (8): DMG MORI, Mazak, TRUMPF, Okuma, Hermle, Heidenhain
    SPLC, GROB, Heller
  Pneumatik (4): Festo, SMC, AVENTICS, Parker
  Hydraulik (3): Bosch Rexroth, HAWE, HYDAC
  Safety-PLC / Sicherheitstechnik (8): PILZ, SICK, Schmersal, Euchner,
    Leuze, Phoenix Contact, Banner, Wieland
  Standard-PLC (5): Siemens, Beckhoff, Rockwell, Schneider, B&R
  Pressen (3): Schuler, Bruderer, AIDA
  Spritzguss (3): Arburg, KraussMaffei, ENGEL
  Verpackung (2): Krones, Bosch Packaging/Syntegon
  Laser/Schweissen (3): Bystronic, Amada, Fronius
  Foerdertechnik (2): Interroll, SEW EURODRIVE

Engine integration:
- LookupManufacturerFeaturesInText() scans the project narrative for
  any of the manufacturer aliases (case-insensitive, umlaut-tolerant).
- Init-Handler appends matched feature clarifications to the relevant
  hazard's "Mit Anlagenbauer zu klaeren:" block — for the right
  HazardCategory only (e.g. FANUC DCS only on mechanical_hazard).
- For a Bremse project narrative mentioning "Fanuc Robodrill", the
  engine now adds clarification questions like "Ist DCS am Roboter
  konfiguriert?" to relevant mechanical hazards automatically.

Tests: 7 new pin tests — manufacturer count, norm prefixes, FANUC/KUKA
detection in narrative, umlaut robustness (Staeubli vs Staubli).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-16 23:04:56 +02:00

breakpilot-compliance

DSGVO/AI-Act compliance platform — 10 services, Go · Python · TypeScript

CI Go Python Node.js TypeScript FastAPI DSGVO AI Act LOC guard Services


Overview

breakpilot-compliance is a multi-tenant DSGVO/EU AI Act compliance platform that provides an SDK for consent management, data subject requests (DSR), audit logging, iACE impact assessments, and document archival. It ships as 10 containerised services covering an admin dashboard, a developer portal, a Python/FastAPI backend, a Go AI compliance engine, TTS, and a decentralised document store on IPFS. Every service is deployed automatically via Gitea Actions → Orca on every push to main.


Architecture

Service Tech Port Container
admin-compliance Next.js 15 3007 bp-compliance-admin
backend-compliance Python / FastAPI 0.123 8002 bp-compliance-backend
ai-compliance-sdk Go 1.24 / Gin 8093 bp-compliance-ai-sdk
developer-portal Next.js 15 3006 bp-compliance-developer-portal
breakpilot-compliance-sdk TypeScript SDK (React/Vue/Angular/vanilla)
consent-sdk JS/TS Consent SDK
compliance-tts-service Python / Piper TTS 8095 bp-compliance-tts
document-crawler Python / FastAPI 8098 bp-compliance-document-crawler
dsms-gateway Python / FastAPI / IPFS 8082 bp-compliance-dsms-gateway
dsms-node IPFS Kubo v0.24.0 bp-compliance-dsms-node

All containers share the external breakpilot-network Docker network and depend on breakpilot-core (Valkey, Vault, RAG service, Nginx reverse proxy).


Quick Start

Prerequisites: Docker, Go 1.24+, Python 3.12+, Node.js 20+

git clone ssh://git@gitea.meghsakha.com:22222/Benjamin_Boenisch/breakpilot-compliance.git
cd breakpilot-compliance

# Copy and populate secrets (never commit .env)
cp .env.example .env

# Start all services
docker compose up -d

For the Orca/Hetzner production target (x86_64), use the override:

docker compose -f docker-compose.yml -f docker-compose.hetzner.yml up -d

Development Workflow

Use feature branches off main. Supported prefixes: feat/, feature/, hotfix/.

git checkout main && git pull origin main
git checkout -b feat/my-change
# ... make changes ...
git push origin feat/my-change
# Open a PR → squash merge to main

Push to main triggers:

  1. Gitea Actions — lint → test → validate (see CI Pipeline below)
  2. Orca — automatic build + deploy (~3 min total)

Monitor status: https://gitea.meghsakha.com/Benjamin_Boenisch/breakpilot-compliance/actions


CI Pipeline

Defined in .gitea/workflows/ci.yaml.

Job What it checks
loc-budget All source files ≤ 500 LOC; soft target 300
guardrail-integrity Commits touching guardrail files carry [guardrail-change]
go-lint golangci-lint on ai-compliance-sdk/
python-lint ruff + mypy on Python services
nodejs-lint tsc --noEmit + ESLint on Next.js services
test-go-ai-compliance go test ./... in ai-compliance-sdk/
test-python-backend-compliance pytest in backend-compliance/
test-python-document-crawler pytest in document-crawler/
test-python-dsms-gateway pytest test_main.py in dsms-gateway/
sbom-scan License + vulnerability scan via syft + grype
validate-canonical-controls OpenAPI contract baseline diff

File Budget

Limit Value How to check
Soft target 300 LOC bash scripts/check-loc.sh
Hard cap 500 LOC Same; also enforced by PreToolUse hook + git pre-commit + CI
Exceptions .claude/rules/loc-exceptions.txt Require written rationale + [guardrail-change] commit marker

The .claude/settings.json PreToolUse hook blocks Claude Code from writing or editing files that would exceed the hard cap. The git pre-commit hook re-checks. CI is the final gate.


URL
Admin dashboard https://admin-dev.breakpilot.ai
Developer portal https://developers-dev.breakpilot.ai
Backend API https://api-dev.breakpilot.ai
AI SDK API https://sdk-dev.breakpilot.ai
Gitea repo https://gitea.meghsakha.com/Benjamin_Boenisch/breakpilot-compliance
Gitea Actions https://gitea.meghsakha.com/Benjamin_Boenisch/breakpilot-compliance/actions
S
Description
No description provided
Readme 25 MiB
Languages
TypeScript 43.1%
Python 30.8%
Go 23.5%
Shell 1.2%
PLpgSQL 0.8%
Other 0.3%