Benjamin Admin afb3f83f30 feat(iace): cross-domain precision overhaul + component review + schema reconcile
Engine precision (stop foreign-machine patterns leaking into a project):
- Wire project.MachineType into the engine machine-type gate (empty input no
  longer fires every machine class — press/cnc/excavator/crane/medical...).
- Capability-domain gating extended by 7 domains (outdoor, ventilation,
  machining, bulk, palletizer, playground, fitness) so domain-specific hazards
  only fire when the narrative names that domain; emitted via keyword_dictionary.
- Relevance backstop moved into iace (single gating contract, testable), and its
  dominant false-anchor class removed (a long pattern word no longer matches a
  short common token; prepositions/leitung added to the generic stoplist).
- New guard tests: TestCrossDomainPrecision (full pipeline, 0 foreign per GT) and
  TestPatternReachability now asserts 0 dead patterns. Both GTs keep coverage 1.0.

Reachability fix: the 51 dead patterns required electrical/pneumatic/hydraulic
tags nothing produced — renamed to the canonical electrical_energy/
pneumatic_pressure/hydraulic_pressure/hydraulic_part.

Component review (negation is best-effort + expert-correctable):
- Parser surfaces negated components (ComponentMatch.Negated) instead of dropping
  them; negated contribute no tags/energy → no phantom hazards.
- presence_status (vorhanden|nicht_vorhanden|geloescht) + ce_marked on components;
  only `vorhanden` feed matching. CE+safety-relevant flags the PL/SIL obligation.
- Force re-seed preserves the expert's component decisions instead of wiping them.
- Tag-based component→hazard assignment (was: all on the first component).
- Negation-aware narrative parsing ("keine Pneumatik" no longer extracts it).

Local-dev DB: ai-sdk sets search_path=compliance,core,public; reconcile migrations
152-156 bring the consolidated local iace tables to the current schema + add the
presence_status/ce_marked columns. Machine-type vocabulary endpoint for the form.

[migration-approved]

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-10 17:15:55 +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 36 MiB
Languages
TypeScript 41.6%
Python 33.1%
Go 22.8%
Shell 1.2%
PLpgSQL 0.8%
Other 0.2%