Benjamin Admin fbbd0957bd feat: Environmental stress test — the architecture works OUTSIDE cyber (Phase Ω, data-only)
First NON-cyber stress test. Every prior journey was cyber (infosec/software/product security).
Environmental brings a completely different mental model (substance flows, emissions, water,
chemicals, energy, circularity). The claim under test: RS-005 carries it UNCHANGED — only new DATA,
zero runtime code.

ISO 14001 (an EMS) is modelled as a Company Profile and run through the SAME engines as ISO 27001 ->
CRA (new pattern transition_pattern_iso14001_to_environmental_v1.yaml, capabilities as VERBS):
  - ISO 14001 yields 5 environmental MANAGEMENT capabilities (Welt-1, probably present)
  - the concrete substance/emission/water/material EVIDENCE is the 11-capability delta
  - rejected_assumptions state what ISO 14001 does NOT produce (substance lists, REACH, emissions,
    battery passports, water analyses) — preserving the Welt-1/Welt-2 separation
  - the Journey Matcher stays domain-agnostic: ISO14001->Environmental 100%, cyber journeys 0%

Result: a non-cyber domain ran through Reality -> ... -> Journey with 0 new runtime classes and 0
new pipeline — a stronger generality proof than ten more cyber regulations.

Also extends the Architecture Stability ledger with the third KPI column the user requested — "new
capability types" — as a granularity Frühindikator (a domain needing ~80 new types at 0 runtime would
flag a too-coarse/too-fine capability model). Environmental = 16 types (5 mgmt + 11 evidence), in
range. Ledger now flags cyber vs non_cyber family. Non-runtime -> no deploy. 19 tests pass, check-loc 0.
2026-06-28 11:10:07 +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+, Infisical CLI

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

# One-time per machine: log in to the self-hosted Infisical instance
infisical login --domain https://secrets.meghsakha.com

# Start the full stack with secrets injected from Infisical (env=dev)
make dev

Secrets are pulled from Infisical (secrets.meghsakha.com) at runtime; .env files are not used. See INFISICAL_SETUP.md for full onboarding, and make help for the rest of the targets (dev-build, dev-down, secrets, secrets-set).

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

make dev ENV=prod  # or:
infisical run --env=prod -- 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 40 MiB
Languages
TypeScript 39.8%
Python 35.3%
Go 22.4%
Shell 1.1%
PLpgSQL 0.7%
Other 0.4%