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Author SHA1 Message Date
Benjamin Admin 14588bfb09 feat(advisor): Quellenanker auch fuer strukturelle Verweise (Step A.1)
Erweitert die Korpus-Autoritaet-Regel: Kapitel/Abschnitt/Teil/Anhang nur nennen,
wenn in der Quelle belegt — keine aus Struktur-/Trainingswissen ergaenzte Gliederung
("Kapitel 3 BDSG"). Grund: Prod-Grounding-Check zeigte §38/20-Personen sauber
gegroundet, aber "Kapitel 3 BDSG" stand NICHT im Chunk (Modell-ergaenzt).

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-22 20:24:57 +02:00
42 changed files with 28 additions and 2731 deletions
+2 -3
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@@ -130,11 +130,10 @@ rsync -avz --exclude node_modules --exclude .next --exclude .git \
**breakpilot-core MUSS laufen!** Dieses Projekt nutzt Core-Services:
- Valkey (Session-Cache)
- Vault (Secrets)
- RAG-Service (Vektorsuche fuer Compliance-Dokumente)
- Nginx (Reverse Proxy)
Secrets liegen in Infisical (`secrets.meghsakha.com`); die Projektverknuepfung steht in `.infisical.json`. Lokal mit `infisical run --env=dev -- docker compose up` (oder `make dev`) starten — `.env`/`.env.local` werden nicht mehr verwendet.
**Externe Services (Production):**
- PostgreSQL 17 (sslmode=require) — Schemas: `compliance`, `public`
- Qdrant @ `qdrant-dev.breakpilot.ai` (HTTPS, API-Key)
@@ -317,7 +316,7 @@ ssh macmini "/usr/local/bin/docker compose -f /Users/benjaminadmin/Projekte/brea
### 5. Sensitive Dateien
**NIEMALS aendern oder committen:**
- `.env`, `.env.local`, Infisical-Tokens, SSL-Zertifikate
- `.env`, `.env.local`, Vault-Tokens, SSL-Zertifikate
- `*.pdf`, `*.docx`, kompilierte Binaries, grosse Medien
---
+1 -1
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@@ -92,7 +92,7 @@ Wenn Hochrisiko:
- [ ] **Transit:** TLS 1.3 für alle Verbindungen
- [ ] **Rest:** Datenbank-Verschlüsselung
- [ ] **Secrets:** Infisical (`secrets.meghsakha.com`) für Credentials
- [ ] **Secrets:** Vault für Credentials
### Zugriffskontrollen
+2 -4
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@@ -136,14 +136,12 @@ jobs:
runs-on: docker
needs: detect-changes
if: github.event_name == 'pull_request' && needs.detect-changes.outputs.sdk == 'true'
container: golangci/golangci-lint:v1.64.8-alpine
container: golangci/golangci-lint:v1.62-alpine
steps:
- name: Checkout
run: |
apk add --no-cache git
# Full clone so `main` is a local ref — new-from-merge-base needs the merge base.
git clone ${GITHUB_SERVER_URL}/${GITHUB_REPOSITORY}.git .
git checkout ${GITHUB_HEAD_REF:-${GITHUB_REF_NAME}}
git clone --depth 1 --branch ${GITHUB_HEAD_REF:-${GITHUB_REF_NAME}} ${GITHUB_SERVER_URL}/${GITHUB_REPOSITORY}.git .
- name: Lint ai-compliance-sdk
run: |
[ -d "ai-compliance-sdk" ] || exit 0
-5
View File
@@ -1,5 +0,0 @@
{
"workspaceId": "996bda36-9e01-4071-ae8d-69a9f9ff5a23",
"defaultEnvironment": "",
"gitBranchToEnvironmentMapping": null
}
-157
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@@ -1,157 +0,0 @@
# Infisical Setup for Local Development
This is the per-developer onboarding for accessing the `breakpilot-compliance` secrets while developing locally. Once this is done, **everything you launch through `make dev` (or `infisical run …`) gets the dev secrets injected as environment variables** — including any Claude Code session that spawns those commands.
Secrets live in the self-hosted Infisical instance at **`secrets.meghsakha.com`**. The project link is committed in `.infisical.json`, so you don't need to know the project ID.
---
## 1. Install the Infisical CLI
**macOS (recommended):**
```bash
brew install infisical/get-cli/infisical
```
**Other platforms / manual install:**
See <https://infisical.com/docs/cli/overview>. Verify with:
```bash
infisical --version
# infisical version 0.43.x (or newer)
```
---
## 2. Log in to the self-hosted instance
```bash
infisical login --domain https://secrets.meghsakha.com
```
This opens a browser for SSO. The login is persisted to your OS keychain — you only do this once per machine.
Sanity check:
```bash
cd ~/projects/breakpilot-compliance # wherever you cloned the repo
infisical --domain https://secrets.meghsakha.com secrets --env=dev
```
You should see a table of secret names + values. If you get an auth error, re-run `infisical login`.
---
## 3. Verify the project link
The repo already contains `.infisical.json` pointing at the `breakpilot-compliance` project:
```bash
cat .infisical.json
# { "workspaceId": "996bda36-9e01-4071-ae8d-69a9f9ff5a23", ... }
```
If the file is missing (rare — only if you reset the repo), recreate it:
```bash
infisical init --domain https://secrets.meghsakha.com
```
Pick the `breakpilot-compliance` project from the picker.
---
## 4. Launch the stack
```bash
make dev
```
This runs `infisical run --env=dev -- docker compose up`. Every service in the compose stack sees its secrets as normal env vars — no `.env` file ever touches disk.
Other targets:
| Target | What it does |
|--------|--------------|
| `make dev-build` | Same as `make dev` but rebuilds images first |
| `make dev-down` | Stop the stack (no secrets needed) |
| `make dev-logs` | Tail logs |
| `make dev-ps` | List running containers |
| `make secrets` | Print all secrets in `dev` (read-only) |
| `make secrets-set KEY=FOO VALUE=bar` | Add or update a secret in `dev` |
To target a different environment:
```bash
make dev ENV=staging
make secrets ENV=prod
```
---
## 5. Using secrets from Claude Code
When Claude Code runs commands in this repo via its Bash tool, the commands inherit your shell's environment. Two patterns:
**Pattern A — let Claude launch the stack normally**
Claude just runs `make dev`. The Infisical CLI inside that command resolves secrets at run time and passes them to docker compose. Claude doesn't see plaintext secrets in its context, but the running services do.
**Pattern B — let Claude run a one-off script with secrets**
If Claude needs to execute a Python/Go script that requires secrets, wrap the command:
```bash
infisical run --env=dev -- python scripts/some_one_off.py
```
This works for any subprocess: pytest, alembic, go run, npm scripts. If Claude proposes a command that reads env vars and runs raw, ask it to wrap it in `infisical run --env=dev --` first.
**What Claude should not do:**
- `infisical export --env=dev > .env` — defeats the whole point and the `.gitignore` will still try to keep the file out.
- `infisical secrets get KEY --env=dev --raw` and pasting the value into a code edit — secrets must stay out of the repo.
If you want Claude to never accidentally dump secrets, add this to your `.claude/settings.json` permissions (project-level or user-level):
```json
{
"permissions": {
"deny": [
"Bash(infisical export*)",
"Bash(infisical secrets get*)"
]
}
}
```
---
## Troubleshooting
| Symptom | Fix |
|---------|-----|
| `please either run infisical init or pass --projectId` | `.infisical.json` is missing or unreadable — re-run `infisical init` |
| `unauthorized` / `please log in` | Re-run `infisical login --domain https://secrets.meghsakha.com` |
| `make dev` says secret is empty | Check the name in `make secrets` matches what docker-compose expects, then update the service config or rename the secret in Infisical |
| Browser SSO doesn't open | Use `infisical login --domain https://secrets.meghsakha.com --method=user` and paste the URL manually |
---
## What the dev env contains
Run `make secrets` to see the live list. As of this writing the dev env includes (at minimum):
- `BREAKPILOT_DB_PASSWORD`
- `BREAKPILOT_QDRANT_API_KEY`
- `LITELLM_API_KEY`
Every other variable in `.env.example` either has a sane default in `docker-compose.yml` or needs to be added to Infisical. To add one:
```bash
make secrets-set KEY=ANTHROPIC_API_KEY VALUE=sk-ant-xxxx
```
Or via the web UI: <https://secrets.meghsakha.com>.
-57
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@@ -1,57 +0,0 @@
# breakpilot-compliance — developer workflow
#
# Secrets are managed in Infisical (secrets.meghsakha.com). The project
# link lives in .infisical.json. To get started:
# 1) infisical login --domain https://secrets.meghsakha.com (once per machine)
# 2) make dev
#
# .env / .env.local are NOT used in this repo anymore. Anything that needs
# secrets MUST be launched through `infisical run` so the values come from
# the secrets store instead of disk.
INFISICAL ?= infisical
INFISICAL_DOMAIN ?= https://secrets.meghsakha.com
ENV ?= dev
INFISICAL_RUN := $(INFISICAL) --domain $(INFISICAL_DOMAIN) run --env=$(ENV) --
INFISICAL_SECRETS := $(INFISICAL) --domain $(INFISICAL_DOMAIN) secrets --env=$(ENV)
.PHONY: help dev dev-build dev-down dev-logs dev-ps secrets secrets-set check-loc
help:
@echo "Targets:"
@echo " dev Start the full compose stack with secrets injected from Infisical"
@echo " dev-build Same as dev, but force a rebuild first"
@echo " dev-down Stop the compose stack (no secrets needed)"
@echo " dev-logs Tail logs from all services"
@echo " dev-ps Show running containers"
@echo " secrets List all secrets in the current env ($(ENV))"
@echo " secrets-set Set a secret (KEY=... VALUE=...)"
@echo " check-loc Run the 500-line LOC guard"
dev:
$(INFISICAL_RUN) docker compose up
dev-build:
$(INFISICAL_RUN) docker compose up --build
dev-down:
docker compose down
dev-logs:
docker compose logs -f
dev-ps:
docker compose ps
secrets:
$(INFISICAL_SECRETS)
secrets-set:
@if [ -z "$(KEY)" ] || [ -z "$(VALUE)" ]; then \
echo "Usage: make secrets-set KEY=MY_KEY VALUE=my_value"; exit 1; \
fi
$(INFISICAL) --domain $(INFISICAL_DOMAIN) secrets set $(KEY)=$(VALUE) --env=$(ENV)
check-loc:
bash scripts/check-loc.sh
+6 -9
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@@ -42,26 +42,23 @@ All containers share the external `breakpilot-network` Docker network and depend
## Quick Start
**Prerequisites:** Docker, Go 1.24+, Python 3.12+, Node.js 20+, [Infisical CLI](https://infisical.com/docs/cli/overview)
**Prerequisites:** Docker, Go 1.24+, Python 3.12+, Node.js 20+
```bash
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
# Copy and populate secrets (never commit .env)
cp .env.example .env
# Start the full stack with secrets injected from Infisical (env=dev)
make dev
# Start all services
docker compose up -d
```
Secrets are pulled from Infisical (`secrets.meghsakha.com`) at runtime; `.env` files are not used. See [INFISICAL_SETUP.md](./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:
```bash
make dev ENV=prod # or:
infisical run --env=prod -- docker compose -f docker-compose.yml -f docker-compose.hetzner.yml up -d
docker compose -f docker-compose.yml -f docker-compose.hetzner.yml up -d
```
---
@@ -46,6 +46,10 @@ FAKTEN, nicht nur fuer Fundstellen (ergaenzt **Quellentreue**).
Schwelle aus — auch nicht beilaeufig im Fliesstext ohne Fundstelle. Sag offen, dass du ihn aus
deinen geprueften Quellen nicht belegen kannst, nenne Pflicht/Thema allgemein, und biete den
naechsten Schritt an (gezielt nachschlagen / mit DSB oder Anwalt verifizieren).
- **Strukturelle Verweise** (Kapitel, Abschnitt, Teil, Anhang) nennst du ebenfalls NUR, wenn sie so
in der Quelle stehen — ergaenze KEINE aus Struktur- oder Trainingswissen abgeleitete Gliederung
(z.B. "Kapitel 3 BDSG"), auch wenn sie plausibel oder korrekt erscheint. Die Quellenanker-Pflicht
gilt fuer Fundstellen UND Gliederungs-Ebenen.
- **Konflikt-Transparenz**: Weicht der Kontext von dem ab, was dir "gelaeufig" vorkommt, gewinnt
IMMER der Kontext. Mach es ruhig transparent — z.B. "Die aktuelle Quelle nennt 20; eine evtl.
aeltere, gelaeufige Annahme (10) gilt hier nicht."
@@ -46,28 +46,6 @@ export interface CorpusOverview {
totals: { documents: number; catalog_sources: number }
}
// --- Ingested legal-corpus structure (from the vector store, via the Go SDK).
// Shows WHAT each eur-lex act consists of (articles/annexes/recitals), so the
// ingested corpus is not a black box for developers. ---
export interface LegalActStructure {
regulation_short: string
regulation_name: string
articles: number
annexes: number
recitals: number
chunks: number
}
export interface LegalCorpus {
regulations: LegalActStructure[]
totals: {
regulations: number
articles: number
annexes: number
recitals: number
}
}
// --- Korpus-Dokumente: gruppieren nach Art (Gesetz/Leitfaden/Standard/Urteil)
// + Herausgeber-Familie (DSK, EDPB, OWASP, NIST …). Deterministisch, pure. ---
interface DocCat {
+3 -83
View File
@@ -3,7 +3,6 @@ import Link from 'next/link'
import {
type UseCaseRow,
type CorpusOverview,
type LegalCorpus,
licenseTierBadgeClass,
commercialBadgeClass,
groupUseCases,
@@ -12,46 +11,28 @@ import {
const BACKEND_URL =
process.env.COMPLIANCE_BACKEND_URL || 'http://backend-compliance:8002'
// The legal-corpus structure comes from the Go SDK (it owns the vector store).
const SDK_URL = process.env.SDK_URL || 'http://ai-compliance-sdk:8090'
export const dynamic = 'force-dynamic'
// Fetched from the SDK and isolated in its own try/catch so a vector-store
// hiccup degrades to "no structure shown" instead of blanking the whole page.
async function fetchLegalCorpus(): Promise<LegalCorpus | null> {
try {
const res = await fetch(`${SDK_URL}/sdk/v1/rag/legal-corpus`, {
cache: 'no-store',
})
return res.ok ? await res.json() : null
} catch {
return null
}
}
async function getData(): Promise<{
useCases: UseCaseRow[]
corpus: CorpusOverview | null
legalCorpus: LegalCorpus | null
}> {
try {
const [ucRes, corpusRes, legalCorpus] = await Promise.all([
const [ucRes, corpusRes] = await Promise.all([
fetch(`${BACKEND_URL}/api/compliance/v1/controls/use-cases`, {
cache: 'no-store',
}),
fetch(`${BACKEND_URL}/api/compliance/v1/controls/corpus`, {
cache: 'no-store',
}),
fetchLegalCorpus(),
])
return {
useCases: ucRes.ok ? await ucRes.json() : [],
corpus: corpusRes.ok ? await corpusRes.json() : null,
legalCorpus,
}
} catch {
return { useCases: [], corpus: null, legalCorpus: null }
return { useCases: [], corpus: null }
}
}
@@ -65,7 +46,7 @@ function Stat({ label, value }: { label: string; value: string | number }) {
}
export default async function CoveragePage() {
const { useCases, corpus, legalCorpus } = await getData()
const { useCases, corpus } = await getData()
const groups = groupUseCases(useCases)
const totalRelevant = useCases.reduce((s, u) => s + u.atom_relevant, 0)
const totalAtoms = useCases.reduce((s, u) => s + u.atom_total, 0)
@@ -240,67 +221,6 @@ export default async function CoveragePage() {
</div>
</section>
{legalCorpus?.regulations?.length ? (
<section className="space-y-2">
<h2 className="text-lg font-semibold text-gray-900">
Ingestierter Rechtskorpus Struktur ({legalCorpus.totals.regulations}{' '}
Rechtsakte)
</h2>
<p className="text-xs text-gray-500">
Woraus jeder ingestierte eur-lex-Rechtsakt tatsächlich besteht:
Artikel (§), Anhänge, Erwägungsgründe und retrievbare Chunks direkt
aus dem Vektorspeicher, damit kein Black-Box-Korpus entsteht.
</p>
<div className="overflow-auto rounded-lg border border-gray-200">
<table className="min-w-full divide-y divide-gray-200 text-sm">
<thead className="bg-gray-50 text-left text-xs uppercase text-gray-500">
<tr>
<th className="px-4 py-2">Rechtsakt</th>
<th className="px-4 py-2 text-right">Artikel (§)</th>
<th className="px-4 py-2 text-right">Anhänge</th>
<th className="px-4 py-2 text-right">Erwägungsgründe</th>
<th className="px-4 py-2 text-right">Chunks</th>
</tr>
</thead>
<tbody className="divide-y divide-gray-100 bg-white">
{legalCorpus.regulations.map((r) => (
<tr key={r.regulation_short}>
<td className="px-4 py-2 text-gray-900">
<span className="font-medium">{r.regulation_short}</span>
{r.regulation_name !== r.regulation_short ? (
<span className="ml-2 text-xs text-gray-500">
{r.regulation_name}
</span>
) : null}
</td>
<td className="px-4 py-2 text-right font-semibold">
{r.articles.toLocaleString('de-DE')}
</td>
<td className="px-4 py-2 text-right">
{r.annexes > 0 ? (
r.annexes.toLocaleString('de-DE')
) : (
<span className="text-gray-300"></span>
)}
</td>
<td className="px-4 py-2 text-right text-gray-500">
{r.recitals > 0 ? (
r.recitals.toLocaleString('de-DE')
) : (
<span className="text-gray-300"></span>
)}
</td>
<td className="px-4 py-2 text-right text-gray-500">
{r.chunks.toLocaleString('de-DE')}
</td>
</tr>
))}
</tbody>
</table>
</div>
</section>
) : null}
{corpus?.license_catalog?.length ? (
<section className="space-y-2">
<h2 className="text-lg font-semibold text-gray-900">
+5 -4
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@@ -55,7 +55,8 @@ linters-settings:
rules:
- name: exported
arguments:
- disableStutteringCheck
- checkPrivateReceivers: false
- disableStutteringCheck: true
- name: error-return
- name: increment-decrement
- name: var-declaration
@@ -82,6 +83,6 @@ issues:
max-issues-per-linter: 50
max-same-issues: 5
# New code only: lint lines changed vs main, so pre-existing debt doesn't fail CI.
# Needs the go-lint job to clone with a local `main` ref (see .gitea/workflows/ci.yaml).
new-from-merge-base: main
# New code only: don't fail on pre-existing issues in files we haven't touched.
# Remove this once a clean baseline is established.
new: false
@@ -211,13 +211,6 @@ func (h *IACEHandler) InitializeProject(c *gin.Context) {
}
for _, cat := range mp.HazardCats {
// Native cyber/AI categories (frontend groups I+J) belong to the
// CRA module, not the traditional CE (ISO 12100) hazard log.
// Enforced centrally here so it holds for EVERY project.
if isCyberSecurityCategory(cat) {
fmt.Printf("CYBER-SKIP: cat=%s pattern=%s — routed to CRA module\n", cat, mp.PatternID)
continue
}
maxForCat := categoryHazardCap(cat, len(comps))
if catCount[cat] >= maxForCat {
continue
@@ -1,45 +0,0 @@
package handlers
// Safety/Security separation for the IACE hazard log.
//
// The traditional CE risk assessment (Maschinenrichtlinie / EN ISO 12100) and
// the cybersecurity assessment (Cyber Resilience Act) are two distinct steps.
// IACE owns the traditional, physical + functional-safety hazards; the CRA
// module (/sdk/iace/{id}/cra) owns the native cyber/AI topics and re-examines
// which safety functions a cyber attack can re-open (see iace-safety-bridge).
//
// The split is by the NATURE of the hazard, not by the component: a control
// fault, bus failure or botched update is FUNCTIONAL safety (random/systematic
// fault) and stays in CE — independent of whether the controller is a bought-in
// CE-marked PLC or the manufacturer's own embedded control. Only the security
// PROPERTIES against malicious actors (access control, firmware/update
// integrity, SBOM, vulnerability handling, default passwords) are CRA.
//
// Functional-safety control categories (software_control, software_fault,
// safety_function_failure, configuration_error, communication_failure,
// update_failure, sensor_fault, …) therefore intentionally STAY in IACE — they
// are the safety functions whose loss the CRA bridge re-examines.
//
// Enforced centrally in InitializeProject so it holds for EVERY project.
var nativeCyberSecurityCategories = map[string]bool{
// I. Cyber / Netzwerk — security against malicious actors
"unauthorized_access": true,
"firmware_corruption": true,
"cyber_resilience": true,
"logging_audit_failure": true,
"cyber_network": true,
"sensor_spoofing": true,
// J. KI-spezifisch
"ai_specific": true,
"ai_misclassification": true,
"false_classification": true,
"model_drift": true,
"data_poisoning": true,
"unintended_bias": true,
}
// isCyberSecurityCategory reports whether a hazard category is a native cyber/AI
// topic that belongs to the CRA module rather than the traditional CE hazard log.
func isCyberSecurityCategory(category string) bool {
return nativeCyberSecurityCategories[category]
}
@@ -1,37 +0,0 @@
package handlers
import "testing"
func TestIsCyberSecurityCategory_RoutedToCRA(t *testing.T) {
cyber := []string{
"unauthorized_access", "firmware_corruption", "cyber_resilience",
"logging_audit_failure", "cyber_network", "sensor_spoofing",
"ai_specific", "ai_misclassification", "false_classification",
"model_drift", "data_poisoning", "unintended_bias",
}
for _, c := range cyber {
if !isCyberSecurityCategory(c) {
t.Errorf("category %q must be routed to the CRA module, not the traditional IACE log", c)
}
}
}
func TestIsCyberSecurityCategory_StaysInIACE(t *testing.T) {
// Physical + functional-safety categories must remain in the traditional CE
// hazard log. communication_failure (bus failure -> loss of control) and
// update_failure (botched update -> lost safety function) are FUNCTIONAL
// faults, not attacks, so they stay too.
keep := []string{
"mechanical_hazard", "electrical_hazard", "thermal_hazard",
"pneumatic_hydraulic", "noise_vibration", "ergonomic_hazard",
"material_environmental", "chemical_risk", "fire_explosion",
"software_control", "software_fault", "safety_function_failure",
"configuration_error", "sensor_fault", "hmi_error",
"communication_failure", "update_failure",
}
for _, c := range keep {
if isCyberSecurityCategory(c) {
t.Errorf("category %q must stay in the traditional IACE log, not be routed to CRA", c)
}
}
}
@@ -75,10 +75,9 @@ func (h *RAGHandlers) Search(c *gin.Context) {
}
c.JSON(http.StatusOK, gin.H{
"query": req.Query,
"results": results,
"count": len(results),
"assessment": ucca.Assess(results),
"query": req.Query,
"results": results,
"count": len(results),
})
}
@@ -207,32 +206,3 @@ func (h *RAGHandlers) HandleScrollChunks(c *gin.Context) {
"total": len(chunks),
})
}
// LegalCorpusStructure returns the composition (distinct articles, annexes,
// recitals + chunk count) of every ingested eur-lex legal act, so the coverage
// page can show WHAT was ingested instead of just the act name.
// GET /sdk/v1/rag/legal-corpus
func (h *RAGHandlers) LegalCorpusStructure(c *gin.Context) {
acts, err := h.ragClient.CorpusStructure(c.Request.Context())
if err != nil {
c.JSON(http.StatusInternalServerError, gin.H{"error": "failed to aggregate legal corpus: " + err.Error()})
return
}
arts, anns, recs := 0, 0, 0
for _, a := range acts {
arts += a.Articles
anns += a.Annexes
recs += a.Recitals
}
c.JSON(http.StatusOK, gin.H{
"regulations": acts,
"totals": gin.H{
"regulations": len(acts),
"articles": arts,
"annexes": anns,
"recitals": recs,
},
})
}
-1
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@@ -161,7 +161,6 @@ func registerRAGRoutes(v1 *gin.RouterGroup, h *handlers.RAGHandlers) {
ragRoutes.GET("/corpus-status", h.CorpusStatus)
ragRoutes.GET("/corpus-versions/:collection", h.CorpusVersionHistory)
ragRoutes.GET("/scroll", h.HandleScrollChunks)
ragRoutes.GET("/legal-corpus", h.LegalCorpusStructure)
}
}
@@ -1,132 +0,0 @@
package iace
// GetWarewashingPatterns returns hazard patterns for commercial warewashing
// machines (gewerbliche Geschirrspuelmaschinen / Untertisch-, Hauben-, Korb-
// und Bandspuelmaschinen). These capture the machine-specific hazards a
// Fachmann immediately expects but that the generic library did not cover:
// hot-water/steam scalding on door opening, hot surfaces, hot ware, corrosive
// detergent/rinse-aid contact, door pinch and wet-floor slipping.
//
// Every pattern is gated by the capability tag "dom_warewashing" (emitted only
// by warewashing narrative keywords in keyword_dictionary.go), so none of these
// leak into unrelated machine classes.
//
// HP range: HP2200-HP2206. ISO 12100 Annex B section identifiers only (facts);
// product standard EN 60335-2-58 (commercial dishwashing machines).
func GetWarewashingPatterns() []HazardPattern {
return []HazardPattern{
{
ID: "HP2200", NameDE: "Verbruehung durch Heisswasser/Dampf beim Oeffnen der Tuer", NameEN: "Scalding by hot water/steam when opening the door",
RequiredComponentTags: []string{"dom_warewashing", "steam_emission"},
GeneratedHazardCats: []string{"thermal_hazard"},
SuggestedMeasureIDs: []string{"M2200", "M2201", "M2202", "M2208"},
Priority: 94,
ApplicableLifecycles: []string{"normal_operation", "cleaning"},
ScenarioDE: "Beim Oeffnen der Tuer waehrend oder unmittelbar nach dem Spuelgang tritt ein Schwall aus heissem Wasser und Wrasen (Dampf) aus der Spuelkammer aus und trifft Gesicht, Haende und Arme des Bedieners.",
TriggerDE: "Tuer wird vor Programmende oder bei noch vorhandenem Restdampf geoeffnet; Tuerverriegelung fehlt oder ist ueberbrueckt; Nachspueltemperatur ca. 85 Grad C.",
HarmDE: "Verbruehung 1.-2. Grades an Gesicht, Haenden und Unterarmen; Augenreizung durch heissen Dampf.",
AffectedDE: "Bedienpersonal (Spuelkraft)",
ZoneDE: "Tuer- und Beschickungsoeffnung der Spuelkammer",
ISO12100Section: "6.2.4",
DefaultSeverity: 3, DefaultExposure: 4,
},
{
ID: "HP2201", NameDE: "Verbrennung an heissen Oberflaechen (Boiler/Tank/Spuelkammer)", NameEN: "Burn on hot surfaces (boiler/tank/wash chamber)",
RequiredComponentTags: []string{"dom_warewashing", "high_temperature"},
GeneratedHazardCats: []string{"thermal_hazard"},
SuggestedMeasureIDs: []string{"M2202", "M055", "M2208"},
Priority: 90,
ApplicableLifecycles: []string{"cleaning", "maintenance"},
ScenarioDE: "Beruehrung heisser Oberflaechen von Boiler, Tankheizkoerper oder Spuelkammerwaenden bei Reinigung, Entkalkung oder Wartung fuehrt zu Kontaktverbrennungen.",
TriggerDE: "Reinigung/Entkalkung ohne Abkuehlzeit; Eingriff in die Spuelkammer bei betriebswarmem Geraet.",
HarmDE: "Kontaktverbrennung an Haenden und Unterarmen.",
AffectedDE: "Reinigungspersonal, Wartungspersonal",
ZoneDE: "Boiler, Tankheizkoerper, Spuelkammerwaende",
ISO12100Section: "6.2.4",
DefaultSeverity: 2, DefaultExposure: 3,
},
{
ID: "HP2202", NameDE: "Verbrennung an heissem Spuelgut beim Entladen", NameEN: "Burn on hot ware when unloading",
RequiredComponentTags: []string{"dom_warewashing", "hot_water"},
GeneratedHazardCats: []string{"thermal_hazard"},
SuggestedMeasureIDs: []string{"M2202", "M055", "M2208"},
Priority: 86,
ApplicableLifecycles: []string{"normal_operation"},
ScenarioDE: "Geschirr, Glaeser und Bestecke sind nach dem Spuelgang durch die Heisswasser-Nachspuelung sehr heiss; beim Entladen kommt es zu Verbrennungen.",
TriggerDE: "Sofortiges Entnehmen des Spuelguts nach Programmende ohne Abkuehl-/Trocknungszeit.",
HarmDE: "Verbrennung an Haenden/Fingern beim Greifen heisser Teile.",
AffectedDE: "Bedienpersonal (Spuelkraft)",
ZoneDE: "Spuelkammer, Entnahmebereich/Korb",
ISO12100Section: "6.2.4",
DefaultSeverity: 2, DefaultExposure: 3,
},
{
ID: "HP2203", NameDE: "Chemische Veraetzung (Haut/Augen) durch Reiniger-/Klarspueler-Konzentrat", NameEN: "Chemical burn (skin/eyes) from detergent/rinse-aid concentrate",
RequiredComponentTags: []string{"dom_warewashing", "corrosive_chemical"},
GeneratedHazardCats: []string{"chemical_risk"},
SuggestedMeasureIDs: []string{"M2203", "M2204", "M2208"},
Priority: 92,
ApplicableLifecycles: []string{"normal_operation", "maintenance"},
ScenarioDE: "Direkter Kontakt mit dem aetzenden (alkalischen) Reiniger- bzw. Klarspueler-Konzentrat beim Nachfuellen, Sauglanzenwechsel oder bei Leckage fuehrt zu Veraetzungen von Haut und Augen.",
TriggerDE: "Gebinde-/Sauglanzenwechsel ohne Schutzausruestung; Umfuellen von Konzentrat; undichte Dosierleitung.",
HarmDE: "Veraetzung von Haut und Augen (alkalische Verletzung), bleibende Augenschaeden moeglich.",
AffectedDE: "Bedienpersonal, Reinigungspersonal beim Chemikalien-Handling",
ZoneDE: "Dosiergeraet, Reiniger-/Klarspueler-Gebinde, Sauglanzen",
ISO12100Section: "6.2.4",
DefaultSeverity: 3, DefaultExposure: 3,
ClarificationQuestionsDE: []string{
"Liegt fuer alle eingesetzten Reiniger/Klarspueler/Entkalker ein aktuelles Sicherheitsdatenblatt (SDB) am Geraet vor?",
"Ist ein geschlossenes Dosiersystem mit Sauglanzen vorhanden, sodass kein Umfuellen noetig ist?",
},
},
{
ID: "HP2204", NameDE: "Reizung/Veraetzung der Atemwege durch Reinigungs-Aerosole/Daempfe", NameEN: "Respiratory irritation from cleaning aerosols/vapours",
RequiredComponentTags: []string{"dom_warewashing", "corrosive_chemical"},
GeneratedHazardCats: []string{"chemical_risk"},
SuggestedMeasureIDs: []string{"M2205", "M2203", "M2204"},
Priority: 82,
ApplicableLifecycles: []string{"normal_operation", "maintenance"},
ScenarioDE: "Aerosole und Daempfe der Reinigungschemie (insbesondere beim Oeffnen kurz nach dem Spuelgang oder bei der Entkalkung mit Saeure) gelangen in die Atemzone und reizen Atemwege und Schleimhaeute.",
TriggerDE: "Oeffnen bei laufender/heisser Chemie; Entkalkung mit Saeure; unzureichende Lueftung des Aufstellbereichs.",
HarmDE: "Reizung von Atemwegen, Augen und Schleimhaeuten; bei Saeure-/Laugen-Vermischung gefaehrliche Gase.",
AffectedDE: "Bedienpersonal, Reinigungspersonal",
ZoneDE: "Atemzone vor der Spuelkammer, Aufstellbereich",
ISO12100Section: "6.2.4",
DefaultSeverity: 2, DefaultExposure: 2,
ClarificationQuestionsDE: []string{
"Ist der Aufstellbereich ausreichend be-/entlueftet (Kuechenlueftung)?",
"Wird in der BA vor dem Vermischen von Reiniger und Entkalker/Saeure gewarnt?",
},
},
{
ID: "HP2205", NameDE: "Quetschen der Finger an der Tuer/Haube", NameEN: "Finger crushing at the door/hood",
RequiredComponentTags: []string{"dom_warewashing", "access_door"},
GeneratedHazardCats: []string{"mechanical_hazard"},
SuggestedMeasureIDs: []string{"M2206", "M003", "M2208"},
Priority: 78,
ApplicableLifecycles: []string{"normal_operation"},
ScenarioDE: "Beim Schliessen der Tuer bzw. Absenken der Haube werden Finger zwischen Tuer/Haube und Gehaeuse gequetscht.",
TriggerDE: "Greifen in den Schliessbereich beim Schliessen; hohe Schliesskraft der Haube; scharfe Kanten.",
HarmDE: "Quetschung und Prellung der Finger.",
AffectedDE: "Bedienpersonal (Spuelkraft)",
ZoneDE: "Tuer-/Haubenkante, Schliessbereich",
ISO12100Section: "6.2.3",
DefaultSeverity: 1, DefaultExposure: 3,
},
{
ID: "HP2206", NameDE: "Ausrutschen auf nassem Boden (Wasseraustritt/Leckage)", NameEN: "Slipping on wet floor (water leakage)",
RequiredComponentTags: []string{"dom_warewashing"},
GeneratedHazardCats: []string{"mechanical_hazard"},
SuggestedMeasureIDs: []string{"M2207", "M538", "M2208"},
Priority: 76,
ApplicableLifecycles: []string{"normal_operation", "cleaning", "maintenance"},
ScenarioDE: "Aus der Spuelmaschine austretendes Wasser (Beschickung, Tuer oeffnen, Leckage, Tankwasserwechsel) macht den Boden im Aufstellbereich rutschig; der Bediener rutscht aus.",
TriggerDE: "Wasseraustritt beim Oeffnen/Beschicken; undichter Ablauf; fehlender Bodenablauf.",
HarmDE: "Sturz mit Prellungen, Knochenbruechen oder Kopfaufprall.",
AffectedDE: "Bedienpersonal, Reinigungspersonal",
ZoneDE: "Aufstell- und Bedienbereich der Spuelmaschine",
ISO12100Section: "6.3.5.6",
DefaultSeverity: 2, DefaultExposure: 3,
},
}
}
@@ -1,112 +0,0 @@
package iace
import "testing"
// firedSet runs the engine for the given custom tags and returns the set of
// fired pattern IDs.
func firedSet(customTags []string) map[string]bool {
engine := NewPatternEngine()
out := engine.Match(MatchInput{CustomTags: customTags})
fired := make(map[string]bool, len(out.MatchedPatterns))
for _, m := range out.MatchedPatterns {
fired[m.PatternID] = true
}
return fired
}
// A warewashing narrative emits these capability + functional tags.
var warewashingTags = []string{
"dom_warewashing", "steam_emission", "hot_water", "high_temperature",
"corrosive_chemical", "access_door", "rotating_part",
}
func TestWarewashing_PatternsFireForDishwasher(t *testing.T) {
fired := firedSet(warewashingTags)
want := []string{"HP2200", "HP2201", "HP2202", "HP2203", "HP2204", "HP2205", "HP2206"}
for _, id := range want {
if !fired[id] {
t.Errorf("expected warewashing pattern %s to fire for a dishwasher, but it did not", id)
}
}
}
func TestWarewashing_PatternsDoNotLeakIntoOtherMachines(t *testing.T) {
// A machine with thermal + electrical + chemical capability but NOT a
// dishwasher must never produce warewashing hazards (dom_warewashing gate).
fired := firedSet([]string{"high_temperature", "electrical_part", "chemical_risk", "rotating_part", "moving_part"})
for _, id := range []string{"HP2200", "HP2201", "HP2202", "HP2203", "HP2204", "HP2205", "HP2206"} {
if fired[id] {
t.Errorf("warewashing pattern %s leaked into a non-dishwasher machine", id)
}
}
}
func TestWarewashing_WeldingAndGlueDoNotLeakIntoDishwasher(t *testing.T) {
// The gate-term additions must stop the welding/flame/glue burn patterns
// from firing for a dishwasher (they previously leaked via high_temperature
// / electrical_part). dom_welding/dom_flame/dom_glue are absent here.
fired := firedSet(warewashingTags)
leak := map[string]string{
"HP530": "Lichtbogen-Verbrennung (Schweissen)",
"HP532": "Schweissrauch",
"HP533": "Brand durch Schweissfunken (Schweissen)",
}
for id, name := range leak {
if fired[id] {
t.Errorf("cross-domain pattern %s (%s) leaked into a dishwasher", id, name)
}
}
}
func TestWarewashing_MeasureIDsExist(t *testing.T) {
lib := GetProtectiveMeasureLibrary()
have := make(map[string]bool, len(lib))
for _, m := range lib {
have[m.ID] = true
}
for _, p := range GetWarewashingPatterns() {
for _, mid := range p.SuggestedMeasureIDs {
if !have[mid] {
t.Errorf("pattern %s references measure %s which is not in the library", p.ID, mid)
}
}
}
}
func TestWarewashing_NarrativeEmitsTags(t *testing.T) {
// Closes the loop: a realistic dishwasher description must emit the tags
// the warewashing patterns gate on (otherwise the patterns are dead).
narrative := "Gewerbliche Untertisch-Geschirrspuelmaschine mit Heisswasser-Boiler " +
"und Nachspuelung ca. 85 Grad C, Spuelpumpe mit rotierenden Spuelfeldern, " +
"Dampf-/Wrasenabgabe beim Oeffnen, Reiniger und Klarspueler ueber Dosiergeraet, " +
"Tuer mit Sicherheitsschalter, Eingreifen in die Spuelkammer."
res := ParseNarrative(narrative, "Gewerbliche Geschirrspuelmaschine")
got := make(map[string]bool, len(res.CustomTags))
for _, tag := range res.CustomTags {
got[tag] = true
}
for _, want := range []string{"dom_warewashing", "steam_emission", "hot_water", "corrosive_chemical", "access_door", "rotating_part"} {
if !got[want] {
t.Errorf("narrative did not emit expected tag %q (got %v)", want, res.CustomTags)
}
}
// And it must NOT emit any welding/flame/glue domain that would re-open leaks.
for _, bad := range []string{"dom_welding", "dom_flame", "dom_glue"} {
if got[bad] {
t.Errorf("dishwasher narrative unexpectedly emitted cross-domain tag %q", bad)
}
}
}
func TestWarewashing_NewMeasuresPresent(t *testing.T) {
lib := GetProtectiveMeasureLibrary()
have := make(map[string]bool, len(lib))
for _, m := range lib {
have[m.ID] = true
}
for _, mid := range []string{"M2200", "M2201", "M2202", "M2203", "M2204", "M2205", "M2206", "M2207", "M2208"} {
if !have[mid] {
t.Errorf("expected warewashing measure %s to be registered in the library", mid)
}
}
}
@@ -88,21 +88,6 @@ func GetKeywordDictionary() []KeywordEntry {
{Keywords: []string{"folienwickler", "wickelmaschine", "konfektioniermaschine", "folienverpackung", "wellpappe"}, ExtraTags: []string{"dom_converting"}},
{Keywords: []string{"bergbau", "untertage", "tunnelbau", "off-grid"}, ExtraTags: []string{"dom_remote"}},
{Keywords: []string{"asbest", "asbestsanierung", "asbestexposition"}, ExtraTags: []string{"dom_asbestos"}},
{Keywords: []string{"gasbrenner", "brennerbetrieb", "offene flamme", "flammhaert", "abflammen", "flammrichten"}, ExtraTags: []string{"dom_flame"}},
{Keywords: []string{"heissleim", "heissleimanlage", "schmelzkleber", "schmelzklebstoff", "klebstoffschmelzer", "leimwerk"}, ExtraTags: []string{"dom_glue"}},
// ── Gewerbliche Spuelmaschine / Warewashing ──────────────────────
// dom_warewashing gates the warewashing-specific patterns
// (hazard_patterns_warewashing.go) so they never leak into other
// machine classes. The functional tags (hot_water, steam_emission,
// corrosive_chemical, access_door) are the within-domain triggers.
{Keywords: []string{"spuelmaschine", "geschirrspuelmaschine", "geschirrspueler", "haubenspuelmaschine", "untertischspuelmaschine", "korbspuelmaschine", "bandspuelmaschine", "glaeserspuelmaschine", "bistrospuelmaschine", "warewashing", "dishwasher"}, ExtraTags: []string{"dom_warewashing"}},
{Keywords: []string{"heisswasser", "nachspuelung", "nachspueltemperatur", "spuelgang", "spuelzyklus", "thermostopp", "thermostop"}, ExtraTags: []string{"hot_water", "high_temperature"}},
{Keywords: []string{"dampf", "wrasen", "schwaden", "brueden"}, ExtraTags: []string{"steam_emission", "high_temperature"}},
{Keywords: []string{"boiler", "spuelboiler", "nachspuelboiler", "tankheiz", "boilerheiz"}, ComponentIDs: []string{"C094"}, ExtraTags: []string{"heating_element", "high_temperature"}},
{Keywords: []string{"reiniger", "klarspueler", "spuelmittel", "reinigungsmittel", "reinigerkonzentrat", "spuelchemie", "dosiergeraet", "dosierpumpe", "sauglanze", "entkalker"}, ExtraTags: []string{"corrosive_chemical"}},
{Keywords: []string{"spuelarm", "spuelfeld", "wascharm", "spruehfeld"}, ComponentIDs: []string{"C004"}, ExtraTags: []string{"rotating_part"}},
{Keywords: []string{"spuelkammer", "spueltuer", "geraetetuer", "haubentuer", "klapptuer"}, ExtraTags: []string{"access_door"}},
// Ghost-Closure (Emit-Seite): macht die 34 toten Required-Tags
// emittierbar, jeweils NUR via domaenenspezifische Keywords -> die 120
// Ghost-Patterns feuern wieder, aber nur fuer ihre echte Maschine (kein
@@ -22,7 +22,6 @@ func GetProtectiveMeasureLibrary() []ProtectiveMeasureEntry {
all = append(all, getGTBremseMeasures()...) // GT-Bremse-Coverage-Gaps (M483-M522)
all = append(all, GetCRAMeasures()...) // CRA / DIN EN 40000-1-2 cyber-resilience (M540-M548)
all = append(all, getLiftEndstopMeasures()...) // Lift/hoist endstop (M600-M604) — bridges OSHA MD library
all = append(all, getWarewashingMeasures()...) // Commercial dishwasher (M2200-M2208) — scald/chemical/door/slip
return all
}
@@ -1,69 +0,0 @@
package iace
// getWarewashingMeasures returns protective measures for commercial warewashing
// machines (gewerbliche Geschirrspuelmaschinen): hot-water/steam scalding,
// hot surfaces, corrosive cleaning chemicals, door pinch and wet-floor slip.
// They complement the generic thermal/mechanical/material measures with the
// machine-specific controls a Fachmann expects for this product class.
//
// M-ID range: M2200-M2208. Norm identifiers only (facts) — no norm text is
// reproduced (DIN/Beuth license). Lead standard: EN 60335-2-58 (safety of
// commercial electric dishwashing machines).
func getWarewashingMeasures() []ProtectiveMeasureEntry {
return []ProtectiveMeasureEntry{
{ID: "M2200", ReductionType: "design", SubType: "interlock",
Name: "Tuer-/Haubenverriegelung beendet Spuelgang vor dem Oeffnen",
Description: "Die Tuer bzw. Haube ist so mit der Steuerung verriegelt, dass beim Oeffnen Spuelpumpe und Nachspuelung sofort abschalten und ein Oeffnen erst nach Programmende (bzw. nach Abbau des Restdampfs) freigegeben wird. Verhindert den Schwall aus Heisswasser/Wrasen und den Kontakt mit noch rotierenden Spuelfeldern.",
HazardCategory: "thermal",
Examples: []string{"Tuerkontaktschalter schaltet Pumpe + Heizung beim Oeffnen ab", "Rastposition mit Restdampf-Verzoegerung vor Freigabe"},
NormReferences: []string{"EN 60335-2-58", "EN ISO 12100 — Inhaerent sichere Konstruktion"}},
{ID: "M2201", ReductionType: "design", SubType: "thermal",
Name: "Wrasen-/Dampfreduzierung (Kondensations- / Waermerueckgewinnungssystem)",
Description: "Der beim Oeffnen austretende Wrasen wird durch ein Kondensations- bzw. Waermerueckgewinnungssystem reduziert, sodass beim Entnehmen kein gefaehrlicher Dampfschwall entsteht. Senkt zugleich die Restwaerme- und Feuchtebelastung am Arbeitsplatz.",
HazardCategory: "thermal",
Examples: []string{"Umluft-Waermerueckgewinnung reduziert austretenden Wrasen", "Kondensationshaube ueber der Spuelkammer"},
NormReferences: []string{"EN 60335-2-58"}},
{ID: "M2202", ReductionType: "protection", SubType: "monitoring",
Name: "Thermostop / Temperaturueberwachung von Boiler und Tank",
Description: "Boiler- und Tanktemperatur werden ueberwacht; ein Thermostop gibt den naechsten Schritt erst frei, wenn die Solltemperatur erreicht ist, und begrenzt die maximale Nachspueltemperatur. Schuetzt vor Verbruehung durch unkontrolliert heisses Nachspuelwasser.",
HazardCategory: "thermal",
Examples: []string{"Temperatursensor in Boiler und Tank mit Abschaltgrenze", "Thermostop-Funktion im Spuelprogramm"},
NormReferences: []string{"EN 60335-2-58", "EN ISO 13732-1"}},
{ID: "M2203", ReductionType: "design", SubType: "containment",
Name: "Geschlossenes Dosiersystem mit Sauglanzen und Niveauueberwachung",
Description: "Reiniger und Klarspueler werden ausschliesslich ueber ein geschlossenes Dosiersystem mit Sauglanzen aus dem Originalgebinde gefoerdert (Niveau-Ueberwachung statt Umfuellen). Direkter Haut-/Augenkontakt mit dem aetzenden Konzentrat beim Nachfuellen wird konstruktiv vermieden.",
HazardCategory: "material_environmental",
Examples: []string{"Sauglanze mit Leermeldung im Reiniger-Kanister", "Kein Umfuellen — Gebindewechsel ohne offenen Chemiekontakt"},
NormReferences: []string{"EN 60335-2-58", "Verordnung (EG) Nr. 1272/2008 (CLP/GHS)"}},
{ID: "M2204", ReductionType: "information", SubType: "ppe",
Name: "PSA (Augen-/Hautschutz) + GHS-Kennzeichnung und Sicherheitsdatenblatt",
Description: "Fuer Handhabung, Gebindewechsel und Entkalkung werden Augen- und Handschutz vorgeschrieben; Reiniger/Klarspueler/Entkalker sind GHS-gekennzeichnet und das Sicherheitsdatenblatt liegt am Geraet vor. Stellt die sichere Handhabung der aetzenden Konzentrate sicher.",
HazardCategory: "material_environmental",
Examples: []string{"Schutzbrille + chemikalienbestaendige Handschuhe bei Gebindewechsel", "GHS-Etikett und SDB im Chemikalienschrank am Geraet"},
NormReferences: []string{"Verordnung (EG) Nr. 1272/2008 (CLP/GHS)", "TRGS 500"}},
{ID: "M2205", ReductionType: "protection", SubType: "ventilation",
Name: "Be-/Entlueftung bzw. geschlossene Haube gegen Chemie-Aerosole und Wrasen",
Description: "Der Aufstellbereich ist ausreichend be- und entlueftet bzw. die Spuelkammer bleibt waehrend des Programms geschlossen, sodass Reinigungs-Aerosole und heisser Wrasen nicht in die Atemzone des Bedieners gelangen.",
HazardCategory: "material_environmental",
Examples: []string{"Kuechenlueftung ueber dem Spuelbereich", "Programmstart nur bei geschlossener Haube"},
NormReferences: []string{"EN 60335-2-58", "TRGS 500"}},
{ID: "M2206", ReductionType: "design", SubType: "geometry",
Name: "Tuerkanten mit geringer Schliesskraft / Einklemmschutz",
Description: "Die Tuer-/Haubenmechanik ist so gestaltet (gefuehrte Bewegung, begrenzte Schliesskraft, abgerundete Kanten), dass beim Schliessen keine Finger gequetscht werden.",
HazardCategory: "mechanical",
Examples: []string{"Gefuehrte Haube mit gedaempfter Schliessbewegung", "Abgerundete Tuerkanten ohne Quetschspalt"},
NormReferences: []string{"EN 60335-2-58", "EN ISO 12100 — Geometrie und Anordnung"}},
{ID: "M2207", ReductionType: "design", SubType: "environment",
Name: "Rutschhemmender Bodenbelag + Ablauf/Leckagewanne im Aufstellbereich",
Description: "Im Aufstell- und Bedienbereich der Spuelmaschine sorgen rutschhemmender Bodenbelag und ein definierter Ablauf bzw. eine Leckagewanne dafuer, dass austretendes Wasser nicht zur Sturzgefahr wird.",
HazardCategory: "mechanical",
Examples: []string{"Rutschhemmender Industrieboden (Bewertungsgruppe R11/R12)", "Bodenablauf bzw. Leckagewanne unter dem Geraet"},
NormReferences: []string{"ASR A1.5/1,2", "DGUV Regel 108-003"}},
{ID: "M2208", ReductionType: "information", SubType: "signage",
Name: "Warnhinweis heisser Dampf/Heisswasser — Tuer erst nach Programmende oeffnen",
Description: "Am Geraet und in der Betriebsanleitung wird vor heissem Dampf und Heisswasser gewarnt und das Oeffnen der Tuer erst nach Programmende mit vorsichtigem Anheben vorgeschrieben. Sprachneutrale Piktogramme ergaenzen den Hinweis.",
HazardCategory: "general",
Examples: []string{"Warnpiktogramm 'Heisser Dampf' an der Tuer", "BA-Hinweis 'Tuer nach Programmende langsam oeffnen'"},
NormReferences: []string{"ISO 7010", "EN 60335-2-58"}},
}
}
@@ -46,20 +46,6 @@ var domainGateTerms = map[string]string{
"widerstandsschweiss": "dom_welding", "lichtbogenschweiss": "dom_welding",
"schutzgasschweiss": "dom_welding", "punktschweiss": "dom_welding",
"schweisselektrod": "dom_welding", "elektrodenspalt": "dom_welding",
// Schweissen — Oberflaechenformen die bisher ungegatet leakten (z.B. in
// thermische Hazards einer Spuelmaschine ueber high_temperature/electrical_part)
"schweissarbeitsplatz": "dom_welding", "schweissfunke": "dom_welding",
"schweisshelm": "dom_welding", "schweisserschutz": "dom_welding",
"lichtbogenzone": "dom_welding", "lichtbogen-verbrennung": "dom_welding",
"schweissrauch": "dom_welding", "schweissgeraet": "dom_welding",
"schweisszone": "dom_welding", "schweissbrenner": "dom_welding",
"schweissspritzer": "dom_welding", "schweissstrom": "dom_welding",
// Offene Flamme / Brenner (Gasbrenner, Flammhaerten, Abflammen)
"offene flamme": "dom_flame", "brennerbereich": "dom_flame",
"flammenzone": "dom_flame", "gasbrenner": "dom_flame",
// Heissleim / Schmelzkleber
"heissleimanlage": "dom_glue", "klebstoffschmelzer": "dom_glue",
"heisskleber": "dom_glue", "schmelzkleber": "dom_glue",
// Solar / PV
"pv-modul": "dom_solar", "photovoltaik": "dom_solar", "pv-anlage": "dom_solar",
"dc-steckverbindung": "dom_solar", "solarmodul": "dom_solar",
@@ -44,7 +44,6 @@ func collectAllPatterns() []HazardPattern {
patterns = append(patterns, GetCRAPatterns()...) // HP1910-HP1918 CRA / DIN EN 40000-1-2 cyber-resilience spur
patterns = append(patterns, GetSecondaryHarmDemoPatterns()...) // HP2000-HP2001 secondary harm chain demos (Cola splitter, Pharma)
patterns = append(patterns, GetLiftEndstopPatterns()...) // HP2100-HP2102 lift body-part crush at endstops
patterns = append(patterns, GetWarewashingPatterns()...) // HP2200-HP2206 commercial dishwasher (scald/chemical/door/slip)
patterns = applyMachineTypeOverrides(patterns) // Fill MachineTypes on legacy patterns to prevent drift
patterns = applyDomainGates(patterns) // Capability-domain gate: stop domain-specific patterns leaking cross-machine
return patterns
@@ -1,230 +0,0 @@
package ucca
import (
"regexp"
"strconv"
"strings"
)
// authorityInfo is the normative classification of a search result, used internally
// for re-ranking only (Phase 1 changes ordering, not the response contract).
type authorityInfo struct {
weight int // 100 binding, 80 technical_standard, 70 guidance, 0 foreign, 50 unknown
sourceClass string // binding_law | technical_standard | supervisory_guidance | foreign_law | unknown
jurisdiction string // DE | EU | CH
}
var (
guidanceMarkers = []string{
"DSK", "EDPB", "BfDI", "BFDI", "BayLfD", "Baylfb", "ENISA", "BSI", "EUCC",
"Standards Mapping", "Kpnr", "Orientierungshilfe", "Handreichung", "Beschluss",
"Leitlinie", "Guidance", "Empfehlung", "OECD", "CISA", "Blue Guide",
}
// Technical standards / control frameworks (best-practice controls). Checked BEFORE
// guidanceMarkers so a "BSI Grundschutz" chunk classifies as a standard, not BSI guidance.
standardMarkers = []string{
"NIST", "OWASP", "Grundschutz", "ISO 27001", "ISO/IEC 27001",
"CSA CCM", "Cloud Controls Matrix", "CIS Benchmark", "CIS Control",
}
foreignMarkers = []string{"RevDSG", "fedlex", "(CH)"}
deMarkers = []string{"BDSG", "DSK", "BfDI", "BFDI", "BayLfD", "Baylfb", "BSI"}
normPattern = regexp.MustCompile(`(§|Art\.?)\s*\d`)
bdsgParagraph = regexp.MustCompile(`§\s*(\d+)`)
)
// classifyAuthority derives weight/source-class/jurisdiction. Explicitly tagged payload
// values win; otherwise it falls back to the curated category + name markers, so the
// not-yet-re-ingested (untagged) corpus is still classified deterministically.
func classifyAuthority(r LegalSearchResult) authorityInfo {
jur := r.Jurisdiction
if jur == "" {
jur = inferJurisdiction(r)
}
if r.SourceClass != "" {
w := r.AuthorityWeight
if w == 0 && r.SourceClass == "binding_law" {
w = 100
}
return authorityInfo{weight: w, sourceClass: r.SourceClass, jurisdiction: jur}
}
if r.AuthorityWeight > 0 {
return authorityInfo{weight: r.AuthorityWeight, sourceClass: sourceClassFromWeight(r.AuthorityWeight), jurisdiction: jur}
}
hay := r.ArticleLabel + " " + r.RegulationShort + " " + r.RegulationName + " " + r.RegulationCode
switch {
case containsAny(hay, foreignMarkers):
return authorityInfo{weight: 0, sourceClass: "foreign_law", jurisdiction: "CH"}
case r.Category == "standard" || containsAny(hay, standardMarkers):
return authorityInfo{weight: 80, sourceClass: "technical_standard", jurisdiction: jur}
case r.Category == "guidance" || containsAny(hay, guidanceMarkers):
return authorityInfo{weight: 70, sourceClass: "supervisory_guidance", jurisdiction: jur}
case r.Category == "regulation" || r.Category == "eu_recht" || normPattern.MatchString(r.ArticleLabel):
return authorityInfo{weight: 100, sourceClass: "binding_law", jurisdiction: jur}
default:
return authorityInfo{weight: 50, sourceClass: "unknown", jurisdiction: jur}
}
}
func sourceClassFromWeight(w int) string {
switch {
case w >= 100:
return "binding_law"
case w >= 80:
return "technical_standard"
case w >= 70:
return "supervisory_guidance"
case w <= 0:
return "foreign_law"
default:
return "unknown"
}
}
func inferJurisdiction(r LegalSearchResult) string {
hay := r.ArticleLabel + " " + r.RegulationShort + " " + r.RegulationName
switch {
case containsAny(hay, foreignMarkers):
return "CH"
case strings.Contains(hay, "§") || containsAny(hay, deMarkers):
return "DE"
default:
return "EU"
}
}
// --- Domain routing: separates same-authority but topically foreign norms ---
type domainDef struct {
name string
regs []string // regulation markers found in a chunk
keywords []string // query keywords that signal this domain
}
// Deterministic order (slice, not map) — important for stable classification + tests.
var domains = []domainDef{
{"data_protection",
[]string{"DSGVO", "GDPR", "BDSG", "EDPB", "DSK", "BfDI", "BayLfD", "DPF"},
[]string{"personenbezogen", "betroffene", "datenschutz", "datenschutzbeauftrag", "dsb",
"datenpanne", "auskunft", "loesch", "lösch", "einwilligung", "besondere kategorien", "auftragsverarbeiter"}},
{"cyber",
[]string{"CRA", "NIS2", "NIS-2", "ENISA", "DORA", "EUCC"},
[]string{"security update", "sicherheitsupdate", "sicherheitsaktualisierung", "schwachstelle", "sbom",
"cybersicherheit", "konformit", "hersteller", "importeur", "haendler", "händler", "ikt-",
"resilienz", "sicherheitsvorfall", "digitalen elementen"}},
{"ai",
[]string{"AI Act", "KI-VO", "KI-Verordnung"},
[]string{"ki-system", "ki-modell", "hochrisiko", "kuenstliche intelligenz", "künstliche intelligenz"}},
{"product_safety",
[]string{"Maschinenverordnung", "MaschinenVO", "GPSR", "RED", "MDR"},
nil},
}
func queryDomain(query string) string {
ql := strings.ToLower(query)
for _, d := range domains {
for _, kw := range d.keywords {
if strings.Contains(ql, kw) {
return d.name
}
}
}
return ""
}
func chunkDomain(r LegalSearchResult) string {
hay := r.ArticleLabel + " " + r.RegulationShort + " " + r.RegulationCode + " " + r.RegulationName
for _, d := range domains {
if containsAny(hay, d.regs) {
return d.name
}
}
return ""
}
// scopeClass flags special sub-regimes that must not win general questions —
// BDSG Teil 3 (§§ 45-84) implements the JI directive (law enforcement), not the general regime.
func scopeClass(r LegalSearchResult) string {
hay := r.ArticleLabel + " " + r.RegulationShort
if strings.Contains(hay, "BDSG") {
if m := bdsgParagraph.FindStringSubmatch(hay); m != nil {
if n, err := strconv.Atoi(m[1]); err == nil && n >= 45 && n <= 84 {
return "law_enforcement"
}
}
}
return "general"
}
// --- Topic ontology: amplifier only (boost), never an override ---
type topicDef struct {
keywords []string
norms []string // preferred canonical citation fragments
}
var topics = []topicDef{
{[]string{"datenschutzbeauftrag", "dsb", "benennung"}, []string{"Art. 37", "§ 38 BDSG"}},
{[]string{"stellung des"}, []string{"Art. 38"}},
{[]string{"aufgaben des"}, []string{"Art. 39"}},
{[]string{"folgenabsch", "dsfa"}, []string{"Art. 35"}},
{[]string{"besondere kategorien"}, []string{"Art. 9", "§ 22 BDSG"}},
{[]string{"auskunft"}, []string{"Art. 15", "§ 34 BDSG"}},
{[]string{"loesch", "lösch"}, []string{"Art. 17", "§ 35 BDSG"}},
{[]string{"bussgeld", "geldbusse"}, []string{"Art. 83"}},
{[]string{"security update", "sicherheitsupdate", "schwachstelle", "sbom", "cybersicherheitsanforderung"}, []string{"CRA Anhang I"}},
{[]string{"meldepflicht", "sicherheitsvorfall"}, []string{"Art. 14 CRA"}},
}
// resultMatchesTopic reports whether the result is a preferred norm of a topic the query hits.
func resultMatchesTopic(query string, r LegalSearchResult) bool {
ql := strings.ToLower(query)
hay := r.ArticleLabel + " " + r.RegulationShort
for _, t := range topics {
if !containsAnyLower(ql, t.keywords) {
continue
}
for _, n := range t.norms {
if normMatches(hay, n) {
return true
}
}
}
return false
}
// normMatches checks that norm appears in hay with a non-digit boundary, so "Art. 9"
// matches "Art. 9 DSGVO" but not "Art. 90".
func normMatches(hay, norm string) bool {
idx := strings.Index(hay, norm)
if idx < 0 {
return false
}
end := idx + len(norm)
if end < len(hay) && hay[end] >= '0' && hay[end] <= '9' {
return false
}
return true
}
func queryIsForeign(query string) bool {
return containsAnyLower(strings.ToLower(query),
[]string{"schweiz", "revdsg", "fedlex", " ch ", "oesterreich", "österreich"})
}
func containsAny(hay string, markers []string) bool {
for _, m := range markers {
if strings.Contains(hay, m) {
return true
}
}
return false
}
func containsAnyLower(haylower string, markers []string) bool {
for _, m := range markers {
if strings.Contains(haylower, strings.ToLower(m)) {
return true
}
}
return false
}
@@ -1,171 +0,0 @@
package ucca
import (
"sort"
"strings"
)
// Re-ranking coefficients (validated in the offline golden harness; Phase A — conservative).
const (
authorityCoef = 0.40 // * weight/100
jurisdictionGain = 0.05 // binding/guidance from DE or EU
foreignPenalty = 0.60 // foreign law on a DE/EU question (demoted, not removed)
unknownPenalty = 0.08
domainMatchGain = 0.15
offDomainPenalty = 0.10 // off-domain binding (demoted, not removed)
scopePenalty = 0.25 // BDSG Teil 3 (law enforcement) on a general DP question
topicGain = 0.18 // amplifier only
supersededPenalty = 0.50 // superseded Alt-Quelle (pre-eu-v1): demoted, nicht versteckt
intentLiftGain = 0.10 // epsilon a qualifying interpretative source is lifted ABOVE the best binding
intentLiftMargin = 0.05 // ...only if that source is semantically competitive with binding
)
// guidanceIntentSignals mark a query that EXPLICITLY asks for an interpretation /
// recommendation by a guidance body, rather than for the binding obligation. Only
// then may a (semantically competitive) guideline outrank the binding norm.
var guidanceIntentSignals = []string{
"edpb", "europäischer datenschutzausschuss", "europaeischer datenschutzausschuss",
"dsk", "enisa", "bsi", "leitlinie", "guideline", "orientierungshilfe",
"auslegung", "empfiehlt", "empfehlung", "sagt", "laut",
}
// controlIntentSignals mark a query that asks HOW to implement / which controls or
// measures fit — rather than WHAT the binding obligation is. Only then may a
// (semantically competitive) technical_standard outrank the binding norm.
var controlIntentSignals = []string{
"control", "controls", "maßnahme", "massnahme", "schutzmaßnahme",
"best practice", "best-practice", "umsetzen", "implementier", "absicher",
"härt", "haert", "hardening", "nist", "owasp", "grundschutz",
"ccm", "iso 27001", "isms",
}
func queryMatchesAny(query string, signals []string) bool {
q := strings.ToLower(query)
for _, sig := range signals {
if strings.Contains(q, sig) {
return true
}
}
return false
}
// queryWantsGuidance reports whether the query explicitly asks for guidance/interpretation.
func queryWantsGuidance(query string) bool { return queryMatchesAny(query, guidanceIntentSignals) }
// queryWantsControls reports whether the query asks for implementation controls/measures.
func queryWantsControls(query string) bool { return queryMatchesAny(query, controlIntentSignals) }
// bestBindingSemantic returns the highest RAW semantic score among binding-law
// results (0 if none / no intent). Used as the guard threshold so an off-topic
// interpretative source cannot ride the intent boost.
func bestBindingSemantic(results []LegalSearchResult, wantsIntent bool) float64 {
if !wantsIntent {
return 0
}
best := 0.0
for _, r := range results {
if classifyAuthority(r).sourceClass == "binding_law" && r.Score > best {
best = r.Score
}
}
return best
}
// authorityScore computes the normative relevance of a result for a query. It augments the
// semantic score with authority/jurisdiction/domain/scope/topic signals. Exposed for tests.
func authorityScore(query string, r LegalSearchResult, qDomain string, qForeign bool) float64 {
info := classifyAuthority(r)
score := r.Score + authorityCoef*float64(info.weight)/100.0
if r.Superseded {
// Alt-Quelle (pre-eu-v1): Default-Fragen sollen die eu-v1-Norm sehen. Demoted,
// nicht entfernt — fuer Historie/Uebergangsfragen bleibt sie auffindbar.
score -= supersededPenalty
}
if info.jurisdiction == "CH" && !qForeign {
score -= foreignPenalty // Fremdrecht bei DE/EU-Frage: demoted, nicht geloescht
} else {
score += jurisdictionGain
}
if info.sourceClass == "unknown" {
score -= unknownPenalty
}
if qDomain != "" {
switch cd := chunkDomain(r); {
case cd == qDomain:
score += domainMatchGain
case cd != "":
score -= offDomainPenalty // off-domain binding: demoted, nicht geloescht
}
}
if qDomain == "data_protection" && scopeClass(r) == "law_enforcement" {
score -= scopePenalty
}
if resultMatchesTopic(query, r) {
score += topicGain // Verstaerker, kein Override
}
return score
}
// rerankByAuthority re-orders results so binding law from the matching jurisdiction/domain
// ranks above guidance, foreign and off-domain law — WITHOUT dropping anything (guidance is
// kept as interpretation context). The computed score is written back to Score so downstream
// merges (e.g. the multi-collection advisor) preserve this order. Pure + deterministic.
func rerankByAuthority(query string, results []LegalSearchResult) []LegalSearchResult {
if len(results) < 2 {
return results
}
qDomain := queryDomain(query)
qForeign := queryIsForeign(query)
wantsGuidance := queryWantsGuidance(query)
wantsControls := queryWantsControls(query)
bestBindingSem := bestBindingSemantic(results, wantsGuidance)
out := make([]LegalSearchResult, len(results))
copy(out, results)
for i := range out {
out[i].Score = authorityScore(query, out[i], qDomain, qForeign)
}
// Explicit interpretation intent → a competitive guideline may outrank binding (lift
// above the best binding FINAL). Explicit implementation intent → boost the CONTROL-POOL
// (operational/procedural requirement, control standard, implementation guidance) over
// the abstract obligation, soft-ordered by role. Norm questions (neither) stay untouched.
if wantsGuidance {
liftAboveBinding(out, results, bestBindingSem, "supervisory_guidance")
}
if wantsControls {
applyControlRoles(out)
}
sort.SliceStable(out, func(a, b int) bool {
return out[a].Score > out[b].Score
})
return out
}
// liftAboveBinding lifts a semantically-competitive interpretative source (the given
// sourceClass — supervisory_guidance or technical_standard) just ABOVE the best binding
// hit, ordered by semantic, so an EXPLICIT guidance/implementation question can return
// that source Top-1. A pure norm question (no intent → not called) keeps binding on top.
// Sources below the semantic margin are left untouched, so an off-topic source can never
// ride the override — and the lift is from the binding FINAL score, so authority/topic/
// domain bonuses cannot edge it out.
func liftAboveBinding(out, raw []LegalSearchResult, bestBindingSem float64, sourceClass string) {
bestBindingFinal := 0.0
for i := range out {
if classifyAuthority(out[i]).sourceClass == "binding_law" && out[i].Score > bestBindingFinal {
bestBindingFinal = out[i].Score
}
}
for i := range out {
// Classify (not raw payload) so the untagged legacy corpus — e.g. NIST ingested
// before source_class tagging — is still recognized as its interpretative class.
if classifyAuthority(out[i]).sourceClass != sourceClass || raw[i].Score < bestBindingSem-intentLiftMargin {
continue
}
lifted := bestBindingFinal + intentLiftGain + (raw[i].Score - bestBindingSem)
if lifted > out[i].Score {
out[i].Score = lifted
}
}
}
@@ -1,96 +0,0 @@
package ucca
import "testing"
func bindingRes(label, reg, jur string, score float64) LegalSearchResult {
return LegalSearchResult{ArticleLabel: label, RegulationShort: reg, SourceClass: "binding_law", AuthorityWeight: 100, Jurisdiction: jur, Score: score}
}
func guidanceRes(label, reg string, score float64) LegalSearchResult {
return LegalSearchResult{ArticleLabel: label, RegulationShort: reg, SourceClass: "supervisory_guidance", AuthorityWeight: 70, Jurisdiction: "EU", Score: score}
}
func foreignRes(label string, score float64) LegalSearchResult {
return LegalSearchResult{ArticleLabel: label, RegulationShort: "RevDSG", SourceClass: "foreign_law", AuthorityWeight: 0, Jurisdiction: "CH", Score: score}
}
// Acceptance criteria (Phase 1) expressed as ordering tests.
func TestRerankByAuthority_Acceptance(t *testing.T) {
t.Run("guidance does not overtake semantically competitive binding", func(t *testing.T) {
out := rerankByAuthority("Was gilt hier?", []LegalSearchResult{
guidanceRes("ENISA Mapping", "ENISA", 0.72),
bindingRes("CRA Anhang I", "CRA", "EU", 0.66),
})
if out[0].RegulationShort != "CRA" {
t.Fatalf("binding must rank first over competitive guidance, got %q", out[0].RegulationShort)
}
})
t.Run("foreign law demoted on DE/EU question but kept", func(t *testing.T) {
in := []LegalSearchResult{foreignRes("RevDSG Art 1", 0.85), bindingRes("Art. 9 DSGVO", "DSGVO", "EU", 0.62)}
out := rerankByAuthority("Welche Daten sind besonders geschuetzt?", in)
if out[0].RegulationShort != "DSGVO" {
t.Fatalf("binding EU must beat foreign on a DE/EU query, got %q", out[0].RegulationShort)
}
if len(out) != 2 {
t.Fatalf("foreign law must be kept, got len=%d", len(out))
}
})
t.Run("off-domain binding demoted but not removed", func(t *testing.T) {
in := []LegalSearchResult{
bindingRes("Art. 13 EU MDR", "MDR", "EU", 0.70),
bindingRes("Art. 13 CRA", "CRA", "EU", 0.60),
}
out := rerankByAuthority("Welche Pflichten hat der Hersteller von Produkten mit digitalen Elementen?", in)
if out[0].RegulationShort != "CRA" {
t.Fatalf("on-domain CRA must beat off-domain MDR, got %q", out[0].RegulationShort)
}
if len(out) != 2 {
t.Fatalf("off-domain MDR must be kept, got len=%d", len(out))
}
})
t.Run("same-regime binding wins over guidance", func(t *testing.T) {
out := rerankByAuthority("Was gilt hier?", []LegalSearchResult{
bindingRes("Art. 13 CRA", "CRA", "EU", 0.70),
guidanceRes("ENISA Mapping", "ENISA", 0.60),
})
if out[0].RegulationShort != "CRA" {
t.Fatalf("binding must win, got %q", out[0].RegulationShort)
}
})
t.Run("BDSG Teil 3 demoted below DSGVO on general DP question", func(t *testing.T) {
in := []LegalSearchResult{
bindingRes("§ 48 BDSG", "BDSG", "DE", 0.70), // Teil 3 (law enforcement)
bindingRes("Art. 9 DSGVO", "DSGVO", "EU", 0.62),
}
out := rerankByAuthority("Was sind besondere Kategorien personenbezogener Daten?", in)
if out[0].RegulationShort != "DSGVO" {
t.Fatalf("DSGVO must beat BDSG Teil 3 on a general DP question, got %q", out[0].RegulationShort)
}
})
t.Run("nothing is dropped and topic amplifies", func(t *testing.T) {
in := []LegalSearchResult{
guidanceRes("ENISA", "ENISA", 0.72),
bindingRes("CRA Anhang I", "CRA", "EU", 0.66),
foreignRes("RevDSG", 0.5),
}
out := rerankByAuthority("Anforderungen an Security Updates?", in)
if len(out) != len(in) {
t.Fatalf("rerank must preserve all results, got %d want %d", len(out), len(in))
}
if out[0].ArticleLabel != "CRA Anhang I" {
t.Fatalf("topic+authority must lift CRA Anhang I to top, got %q", out[0].ArticleLabel)
}
})
t.Run("single result returned unchanged", func(t *testing.T) {
in := []LegalSearchResult{bindingRes("Art. 1 CRA", "CRA", "EU", 0.5)}
if out := rerankByAuthority("x", in); len(out) != 1 {
t.Fatalf("len=%d", len(out))
}
})
}
@@ -1,129 +0,0 @@
package ucca
import "testing"
func TestClassifyAuthority(t *testing.T) {
tests := []struct {
name string
result LegalSearchResult
wantW int
wantSC string
wantJur string
}{
{"tagged binding EU", LegalSearchResult{AuthorityWeight: 100, SourceClass: "binding_law", Jurisdiction: "EU"}, 100, "binding_law", "EU"},
{"tagged guidance DE", LegalSearchResult{AuthorityWeight: 70, SourceClass: "supervisory_guidance", Jurisdiction: "DE"}, 70, "supervisory_guidance", "DE"},
{"tagged foreign CH", LegalSearchResult{AuthorityWeight: 0, SourceClass: "foreign_law", Jurisdiction: "CH"}, 0, "foreign_law", "CH"},
{"untagged ENISA guidance", LegalSearchResult{RegulationShort: "ENISA", ArticleLabel: "ENISA CRA Standards Mapping"}, 70, "supervisory_guidance", "EU"},
{"untagged NIST standard", LegalSearchResult{RegulationShort: "NIST SP 800-82r3", ArticleLabel: "AU-8"}, 80, "technical_standard", "EU"},
{"BSI Grundschutz standard beats BSI guidance", LegalSearchResult{RegulationShort: "BSI Grundschutz", ArticleLabel: "BSI Grundschutz Baustein"}, 80, "technical_standard", "DE"},
{"weight-only 85 TRGS standard", LegalSearchResult{AuthorityWeight: 85, RegulationShort: "TRGS 529"}, 85, "technical_standard", "EU"},
{"tagged technical_standard", LegalSearchResult{AuthorityWeight: 80, SourceClass: "technical_standard", Jurisdiction: "EU"}, 80, "technical_standard", "EU"},
{"untagged CRA binding", LegalSearchResult{RegulationShort: "CRA", ArticleLabel: "Art. 13 CRA", Category: "regulation"}, 100, "binding_law", "EU"},
{"untagged BDSG binding DE", LegalSearchResult{RegulationShort: "BDSG", ArticleLabel: "§ 38 BDSG"}, 100, "binding_law", "DE"},
{"untagged RevDSG foreign", LegalSearchResult{RegulationShort: "RevDSG", ArticleLabel: "RevDSG (CH)"}, 0, "foreign_law", "CH"},
{"untagged unknown", LegalSearchResult{RegulationShort: "", ArticleLabel: ""}, 50, "unknown", "EU"},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
got := classifyAuthority(tt.result)
if got.weight != tt.wantW || got.sourceClass != tt.wantSC || got.jurisdiction != tt.wantJur {
t.Errorf("classifyAuthority() = {%d %s %s}, want {%d %s %s}",
got.weight, got.sourceClass, got.jurisdiction, tt.wantW, tt.wantSC, tt.wantJur)
}
})
}
}
func TestQueryDomain(t *testing.T) {
tests := []struct{ q, want string }{
{"Welche Anforderungen an Security Updates?", "cyber"},
{"Wer braucht einen Datenschutzbeauftragten?", "data_protection"},
{"Was sind besondere Kategorien personenbezogener Daten?", "data_protection"},
{"Welche Pflichten beim Hochrisiko-KI-System?", "ai"},
{"Wie spaet ist es?", ""},
}
for _, tt := range tests {
if got := queryDomain(tt.q); got != tt.want {
t.Errorf("queryDomain(%q) = %q, want %q", tt.q, got, tt.want)
}
}
}
func TestChunkDomain(t *testing.T) {
tests := []struct {
name string
r LegalSearchResult
want string
}{
{"CRA cyber", LegalSearchResult{RegulationShort: "CRA", ArticleLabel: "Art. 13 CRA"}, "cyber"},
{"DSGVO dp", LegalSearchResult{RegulationShort: "DSGVO", ArticleLabel: "Art. 9 DSGVO"}, "data_protection"},
{"AI Act ai", LegalSearchResult{RegulationShort: "AI Act", ArticleLabel: "Art. 10 AI Act"}, "ai"},
{"MDR product", LegalSearchResult{RegulationShort: "MDR", ArticleLabel: "Art. 13 EU MDR"}, "product_safety"},
{"unknown", LegalSearchResult{RegulationShort: "XYZ"}, ""},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
if got := chunkDomain(tt.r); got != tt.want {
t.Errorf("chunkDomain() = %q, want %q", got, tt.want)
}
})
}
}
func TestScopeClass(t *testing.T) {
tests := []struct {
name string
r LegalSearchResult
want string
}{
{"BDSG Teil 3 law enforcement", LegalSearchResult{RegulationShort: "BDSG", ArticleLabel: "§ 48 BDSG"}, "law_enforcement"},
{"BDSG general part", LegalSearchResult{RegulationShort: "BDSG", ArticleLabel: "§ 38 BDSG"}, "general"},
{"DSGVO general", LegalSearchResult{RegulationShort: "DSGVO", ArticleLabel: "Art. 9 DSGVO"}, "general"},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
if got := scopeClass(tt.r); got != tt.want {
t.Errorf("scopeClass() = %q, want %q", got, tt.want)
}
})
}
}
func TestResultMatchesTopic(t *testing.T) {
tests := []struct {
name string
query string
r LegalSearchResult
want bool
}{
{"besondere Kategorien -> Art 9 match", "Was sind besondere Kategorien?", LegalSearchResult{ArticleLabel: "Art. 9 DSGVO"}, true},
{"besondere Kategorien -> Art 90 no match", "Was sind besondere Kategorien?", LegalSearchResult{ArticleLabel: "Art. 90 DSGVO"}, false},
{"security updates -> CRA Anhang I", "Anforderungen an Security Updates?", LegalSearchResult{ArticleLabel: "CRA Anhang I"}, true},
{"no topic keyword", "Wie spaet ist es?", LegalSearchResult{ArticleLabel: "Art. 9 DSGVO"}, false},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
if got := resultMatchesTopic(tt.query, tt.r); got != tt.want {
t.Errorf("resultMatchesTopic() = %v, want %v", got, tt.want)
}
})
}
}
func TestNormMatches(t *testing.T) {
tests := []struct {
hay, norm string
want bool
}{
{"Art. 9 DSGVO", "Art. 9", true},
{"Art. 90 DSGVO", "Art. 9", false},
{"§ 38 BDSG", "§ 38 BDSG", true},
{"§ 380 BDSG", "§ 38", false},
{"Art. 14 CRA", "Art. 14 CRA", true},
}
for _, tt := range tests {
if got := normMatches(tt.hay, tt.norm); got != tt.want {
t.Errorf("normMatches(%q,%q) = %v, want %v", tt.hay, tt.norm, got, tt.want)
}
}
}
@@ -1,123 +0,0 @@
package ucca
import "strings"
// source_role is the FUNCTIONAL role of a chunk — WHAT must be done (obligation),
// HOW to implement it (operational/procedural requirement, control standard,
// implementation guidance), or how to READ the norm (interpretation/definition).
// It is ORTHOGONAL to source_class (legal authority): source_class decides RANK,
// source_role decides CONTROL-POOL membership for implementation questions.
// Derived deterministically from markers, so the untagged corpus needs no re-tag.
const (
roleObligation = "obligation" // the abstract duty (the WHAT)
roleOperationalReq = "operational_requirement" // concrete binding requirement (CRA Annex I)
roleProceduralReq = "procedural_requirement" // a process: notification/registration/DPIA/incident report
roleControlStandard = "control_standard" // best-practice control catalog (NIST/OWASP/ISO/CIS)
roleImplGuidance = "implementation_guidance" // advisory how-to (ENISA good practices, BSI)
roleInterpretation = "interpretation" // interprets the norm's MEANING (EDPB guideline)
roleDefinition = "definition" // definitions / scope / recitals
)
var (
proceduralMarkers = []string{
"Meldung", "Meldepflicht", "Notification", "Notifizierung", "Registrierung",
"Registration", "Konformitätserklärung", "Declaration of Conformity", "Incident",
"Berichterstattung", "Reporting", "Folgenabschätzung", "DSFA", "DPIA", "Anzeigepflicht",
}
annexMarkers = []string{"Anhang", "Annex", "Appendix", "Anlage"}
operationalMarkers = []string{"Anforderung", "Requirement", "essential", "wesentliche"}
implMarkers = []string{
"Good Practice", "Best Practice", "Standards Mapping", "Umsetzung", "Implementation",
"Handreichung", "Maßnahmenkatalog", "ICS", "SCADA", "Technical Guideline", "TIG",
}
definitionMarkers = []string{"Begriffsbestimmung", "Definition"}
)
// classifyRole derives the functional source_role from chunk metadata + the authority
// class. technical_standard is always a control_standard; guidance splits into
// implementation_guidance (how-to) vs interpretation (meaning); binding splits into
// procedural / operational requirement / definition / plain obligation.
func classifyRole(r LegalSearchResult) string {
cls := classifyAuthority(r).sourceClass
hay := strings.ToLower(r.ArticleLabel + " " + r.RegulationShort + " " + r.RegulationName + " " + r.Article)
switch {
case r.IsRecital:
return roleDefinition
case cls == "technical_standard":
return roleControlStandard
case cls == "supervisory_guidance":
if containsAnyLower(hay, implMarkers) {
return roleImplGuidance
}
return roleInterpretation
case cls == "binding_law":
switch {
case containsAnyLower(hay, definitionMarkers):
return roleDefinition
case containsAnyLower(hay, proceduralMarkers):
return roleProceduralReq
case containsAnyLower(hay, annexMarkers) || containsAnyLower(hay, operationalMarkers):
return roleOperationalReq
default:
return roleObligation
}
default:
return roleObligation
}
}
// controlRoleBonus is the soft intra-pool preference (User 2026-06-24):
// operational_requirement > procedural_requirement > control_standard > implementation_guidance.
var controlRoleBonus = map[string]float64{
roleOperationalReq: 0.100,
roleProceduralReq: 0.075,
roleControlStandard: 0.050,
roleImplGuidance: 0.000,
}
// controlPoolGain lifts EVERY control-pool role over the non-control roles (obligation/
// interpretation/definition) on an implementation question, so the binding abstract
// obligation does not dominate by authority alone. The obligation is not removed — it
// stays visible as "Rechtsgrundlage" context below the recommended measures.
const controlPoolGain = 0.15
// applyControlRoles boosts the control-pool (the four implementation roles) for an
// EXPLICIT implementation question, soft-ordered op_req > procedural > standard > guidance.
// Replaces the earlier "lift technical_standard above binding" — controls are not only
// technical_standard, and the binding operational_requirement (e.g. CRA Annex I) should win.
func applyControlRoles(out []LegalSearchResult) {
for i := range out {
if bonus, ok := controlRoleBonus[classifyRole(out[i])]; ok {
out[i].Score += controlPoolGain + bonus
}
}
}
// isControlPoolRole reports whether a role belongs to the control-pool surfaced on
// implementation questions (the four "how to implement" roles).
func isControlPoolRole(role string) bool {
switch role {
case roleOperationalReq, roleProceduralReq, roleControlStandard, roleImplGuidance:
return true
}
return false
}
// controlRoleOf classifies a raw Qdrant payload into a source_role, so searchControls can
// filter its deep dense pull to the control-pool BEFORE hits are mapped to LegalSearchResult.
func controlRoleOf(payload map[string]interface{}) string {
article := getString(payload, "article")
if article == "" {
article = getString(payload, "section")
}
return classifyRole(LegalSearchResult{
RegulationShort: getString(payload, "regulation_short"),
RegulationName: getString(payload, "regulation_name_de"),
ArticleLabel: getString(payload, "article_label"),
Article: article,
Category: getString(payload, "category"),
SourceClass: getString(payload, "source_class"),
AuthorityWeight: getInt(payload, "authority_weight"),
IsRecital: getBool(payload, "is_recital"),
})
}
@@ -1,79 +0,0 @@
package ucca
import "testing"
func TestClassifyRole(t *testing.T) {
tests := []struct {
name string
r LegalSearchResult
want string
}{
{"NIST -> control_standard", LegalSearchResult{RegulationShort: "NIST SP 800-82r3", ArticleLabel: "AU-8"}, roleControlStandard},
{"OWASP -> control_standard", LegalSearchResult{RegulationShort: "OWASP ASVS"}, roleControlStandard},
{"CRA Anhang -> operational_requirement", LegalSearchResult{RegulationShort: "CRA", ArticleLabel: "CRA Anhang I", Category: "regulation"}, roleOperationalReq},
{"CRA Meldepflicht -> procedural_requirement", LegalSearchResult{RegulationShort: "CRA", ArticleLabel: "Art. 14 CRA Meldepflicht", Category: "regulation"}, roleProceduralReq},
{"ENISA Good Practices -> implementation_guidance", LegalSearchResult{RegulationShort: "ENISA Supply Chain Good Practices"}, roleImplGuidance},
{"EDPB Leitlinie -> interpretation", LegalSearchResult{RegulationShort: "EDPB DPO", ArticleLabel: "WP243 Leitlinien Datenschutzbeauftragte"}, roleInterpretation},
{"DORA article -> obligation", LegalSearchResult{RegulationShort: "DORA", ArticleLabel: "Art. 5 DORA", Category: "regulation"}, roleObligation},
{"DSGVO Begriffsbestimmungen -> definition", LegalSearchResult{RegulationShort: "DSGVO", ArticleLabel: "Art. 4 DSGVO Begriffsbestimmungen", Category: "regulation"}, roleDefinition},
{"recital -> definition", LegalSearchResult{RegulationShort: "CRA", IsRecital: true}, roleDefinition},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
if got := classifyRole(tt.r); got != tt.want {
t.Errorf("classifyRole() = %q, want %q", got, tt.want)
}
})
}
}
func TestApplyControlRoles_PoolPreference(t *testing.T) {
// op_req > procedural > control_standard > impl_guidance; non-control roles get no boost.
roles := []struct {
r LegalSearchResult
wantGain float64
}{
{LegalSearchResult{ArticleLabel: "CRA Anhang I", Category: "regulation"}, controlPoolGain + 0.100},
{LegalSearchResult{ArticleLabel: "Art. 14 CRA Meldepflicht", Category: "regulation"}, controlPoolGain + 0.075},
{LegalSearchResult{RegulationShort: "NIST SP 800-53"}, controlPoolGain + 0.050},
{LegalSearchResult{RegulationShort: "ENISA Good Practices"}, controlPoolGain + 0.000},
{LegalSearchResult{ArticleLabel: "Art. 5 DORA", Category: "regulation"}, 0.0}, // obligation: no boost
}
for _, rc := range roles {
out := []LegalSearchResult{rc.r}
out[0].Score = 1.0
applyControlRoles(out)
if got := out[0].Score - 1.0; got < rc.wantGain-1e-9 || got > rc.wantGain+1e-9 {
t.Errorf("role %q: gain %.3f, want %.3f", classifyRole(rc.r), got, rc.wantGain)
}
}
}
func TestIsControlPoolRole(t *testing.T) {
for _, r := range []string{roleOperationalReq, roleProceduralReq, roleControlStandard, roleImplGuidance} {
if !isControlPoolRole(r) {
t.Errorf("%q should be in the control-pool", r)
}
}
for _, r := range []string{roleObligation, roleInterpretation, roleDefinition} {
if isControlPoolRole(r) {
t.Errorf("%q should NOT be in the control-pool", r)
}
}
}
func TestControlRoleOf_Payload(t *testing.T) {
// searchControls filters its deep dense pull by classifying the raw Qdrant payload.
nist := map[string]interface{}{"regulation_short": "NIST SP 800-82r3", "article": "AU-8"}
if got := controlRoleOf(nist); got != roleControlStandard {
t.Errorf("untagged NIST payload role = %q, want control_standard", got)
}
craAnnex := map[string]interface{}{"regulation_short": "CRA", "article": "Anhang-I", "category": "regulation"}
if got := controlRoleOf(craAnnex); got != roleOperationalReq {
t.Errorf("CRA Anhang payload role = %q, want operational_requirement", got)
}
dora := map[string]interface{}{"regulation_short": "DORA", "article_label": "Art. 5 DORA", "category": "regulation"}
if got := controlRoleOf(dora); isControlPoolRole(got) {
t.Errorf("DORA abstract article role = %q must be excluded from the control-pool", got)
}
}
@@ -1,167 +0,0 @@
package ucca
import (
"bytes"
"context"
"encoding/json"
"fmt"
"io"
"net/http"
"sort"
)
// LegalActStructure is the composition of one ingested eur-lex legal act — how
// many distinct articles, annexes and recitals it consists of (plus the raw
// chunk count). Backs the coverage page so the ingested corpus is not a black
// box: a developer SEES what each act actually contains, not only its name.
type LegalActStructure struct {
RegulationShort string `json:"regulation_short"`
RegulationName string `json:"regulation_name"`
Articles int `json:"articles"`
Annexes int `json:"annexes"`
Recitals int `json:"recitals"`
Chunks int `json:"chunks"`
}
const eurlexSource = "eur-lex.europa.eu"
// legalStructureCollections hold the clean eur-lex legal corpus (chunks tagged
// with chunk_scope = section | annex | recital).
var legalStructureCollections = []string{"bp_compliance_ce", "bp_compliance_datenschutz"}
// chunkScopeBucket maps a Qdrant chunk_scope to the structure field it feeds.
var chunkScopeBucket = map[string]string{"section": "articles", "annex": "annexes", "recital": "recitals"}
// CorpusStructure scrolls the eur-lex legal corpus across the legal collections
// and aggregates the per-act composition. The source filter keeps it to a few
// hundred points regardless of total corpus size. Read-only; a collection that
// fails to scroll is skipped rather than failing the whole call.
func (c *LegalRAGClient) CorpusStructure(ctx context.Context) ([]LegalActStructure, error) {
var all []qdrantScrollPoint
for _, coll := range legalStructureCollections {
pts, err := c.scrollLegalCorpus(ctx, coll)
if err != nil {
continue
}
all = append(all, pts...)
}
return aggregateStructure(all), nil
}
// aggregateStructure counts distinct article labels per (regulation, scope).
// Pure → unit-testable without a vector store.
func aggregateStructure(points []qdrantScrollPoint) []LegalActStructure {
distinct := map[string]map[string]map[string]struct{}{}
names := map[string]string{}
chunks := map[string]int{}
order := []string{}
for _, pt := range points {
reg := getString(pt.Payload, "regulation_short")
if reg == "" {
continue
}
if _, seen := names[reg]; !seen {
name := getString(pt.Payload, "regulation_name_de")
if name == "" {
name = reg
}
names[reg] = name
distinct[reg] = map[string]map[string]struct{}{}
order = append(order, reg)
}
chunks[reg]++
bucket, ok := chunkScopeBucket[getString(pt.Payload, "chunk_scope")]
article := getString(pt.Payload, "article")
if !ok || article == "" {
continue
}
if distinct[reg][bucket] == nil {
distinct[reg][bucket] = map[string]struct{}{}
}
distinct[reg][bucket][article] = struct{}{}
}
out := make([]LegalActStructure, 0, len(order))
for _, reg := range order {
out = append(out, LegalActStructure{
RegulationShort: reg,
RegulationName: names[reg],
Articles: len(distinct[reg]["articles"]),
Annexes: len(distinct[reg]["annexes"]),
Recitals: len(distinct[reg]["recitals"]),
Chunks: chunks[reg],
})
}
sort.SliceStable(out, func(i, j int) bool {
if out[i].Articles != out[j].Articles {
return out[i].Articles > out[j].Articles
}
return out[i].RegulationShort < out[j].RegulationShort
})
return out
}
// scrollLegalCorpus pages through one collection, filtered to the eur-lex legal
// corpus, returning minimal-payload points (no text/vectors).
func (c *LegalRAGClient) scrollLegalCorpus(ctx context.Context, collection string) ([]qdrantScrollPoint, error) {
var all []qdrantScrollPoint
var offset interface{}
for {
points, next, err := c.scrollLegalPage(ctx, collection, offset)
if err != nil {
return nil, err
}
all = append(all, points...)
if next == nil {
break
}
offset = next
}
return all, nil
}
// scrollLegalPage fetches one page of the filtered scroll and returns the
// points plus the next-page offset (nil when exhausted).
func (c *LegalRAGClient) scrollLegalPage(ctx context.Context, collection string, offset interface{}) ([]qdrantScrollPoint, interface{}, error) {
reqBody := map[string]interface{}{
"limit": 500,
"with_payload": map[string]interface{}{"include": []string{"regulation_short", "regulation_name_de", "chunk_scope", "article"}},
"with_vectors": false,
"filter": map[string]interface{}{
"must": []map[string]interface{}{
{"key": "source", "match": map[string]interface{}{"value": eurlexSource}},
},
},
}
if offset != nil {
reqBody["offset"] = offset
}
jsonBody, err := json.Marshal(reqBody)
if err != nil {
return nil, nil, err
}
url := fmt.Sprintf("%s/collections/%s/points/scroll", c.qdrantURL, collection)
req, err := http.NewRequestWithContext(ctx, "POST", url, bytes.NewReader(jsonBody))
if err != nil {
return nil, nil, err
}
req.Header.Set("Content-Type", "application/json")
if c.qdrantAPIKey != "" {
req.Header.Set("api-key", c.qdrantAPIKey)
}
resp, err := c.httpClient.Do(req)
if err != nil {
return nil, nil, err
}
defer func() { _ = resp.Body.Close() }()
if resp.StatusCode != http.StatusOK {
body, _ := io.ReadAll(resp.Body)
return nil, nil, fmt.Errorf("qdrant returned %d: %s", resp.StatusCode, string(body))
}
var scrollResp qdrantScrollResponse
if err := json.NewDecoder(resp.Body).Decode(&scrollResp); err != nil {
return nil, nil, err
}
return scrollResp.Result.Points, scrollResp.Result.NextPageOffset, nil
}
@@ -1,50 +0,0 @@
package ucca
import "testing"
func structPoint(reg, name, scope, article string) qdrantScrollPoint {
return qdrantScrollPoint{Payload: map[string]interface{}{
"regulation_short": reg,
"regulation_name_de": name,
"chunk_scope": scope,
"article": article,
}}
}
func TestAggregateStructure_CountsDistinctPerScope(t *testing.T) {
points := []qdrantScrollPoint{
structPoint("CRA", "Cyber Resilience Act", "section", "13"),
structPoint("CRA", "Cyber Resilience Act", "section", "13"), // duplicate article → still 1
structPoint("CRA", "Cyber Resilience Act", "section", "14"),
structPoint("CRA", "Cyber Resilience Act", "annex", "Anhang-I"),
structPoint("CRA", "Cyber Resilience Act", "annex", "Anhang-VII"),
structPoint("DORA", "", "section", "6"), // first sighting has no name →
structPoint("DORA", "", "section", "19"), // regulation_name falls back to short
structPoint("DORA", "", "recital", ""), // empty article → ignored for distinct
structPoint("", "x", "section", "1"), // missing regulation → skipped entirely
}
got := aggregateStructure(points)
if len(got) != 2 {
t.Fatalf("want 2 acts, got %d (%+v)", len(got), got)
}
// CRA has more articles → sorts first.
cra := got[0]
if cra.RegulationShort != "CRA" || cra.Articles != 2 || cra.Annexes != 2 || cra.Recitals != 0 || cra.Chunks != 5 {
t.Errorf("CRA wrong: %+v", cra)
}
dora := got[1]
if dora.RegulationShort != "DORA" || dora.Articles != 2 || dora.Chunks != 3 {
t.Errorf("DORA wrong: %+v", dora)
}
if dora.RegulationName != "DORA" {
t.Errorf("DORA name fallback failed: %q", dora.RegulationName)
}
}
func TestAggregateStructure_Empty(t *testing.T) {
if got := aggregateStructure(nil); len(got) != 0 {
t.Errorf("want empty, got %+v", got)
}
}
@@ -1,134 +0,0 @@
package ucca
import (
"fmt"
"strings"
)
const (
assessConnectedCap = 12 // cap connected norms surfaced in the assessment
assessCrossRegimeTopN = 5 // window over which "cross regime" is judged
assessReviewMargin = 0.05 // a tighter winner gap → recommend human review
)
// Assess builds the auditable explanation layer over a ranked result set:
// primary norm, the norms it connects to (citation graph), cross-regime, a
// human-review flag, the winner margin and a short reasoning string. Pure →
// unit-testable. It EXPLAINS the ranking, it does not change it. Returns nil for
// an empty result set.
func Assess(results []LegalSearchResult) *LegalAssessment {
if len(results) == 0 {
return nil
}
// Norm-level view: collapse multiple chunks of the same article/annex so the
// margin and cross-regime are judged between DISTINCT norms, not near-identical
// chunks of one norm (which would make every winner margin ~0).
norms := distinctNorms(results)
p := norms[0]
primary := primaryLabel(p)
connected := dedupStrings(p.ReferencesOut, p.ReferencesIn, p.CitationUnit)
if len(connected) > assessConnectedCap {
connected = connected[:assessConnectedCap]
}
window := norms
if len(window) > assessCrossRegimeTopN {
window = window[:assessCrossRegimeTopN]
}
regimes := make(map[string]bool)
for _, r := range window {
if r.RegulationShort != "" {
regimes[r.RegulationShort] = true
}
}
crossRegime := len(regimes) > 1
margin := 0.0
if len(norms) > 1 {
margin = norms[0].Score - norms[1].Score
}
primaryBinding := p.SourceClass == "binding_law"
humanReview := margin < assessReviewMargin || crossRegime || !primaryBinding
return &LegalAssessment{
PrimaryNorm: primary,
PrimaryRegulation: p.RegulationShort,
ConnectedNorms: connected,
CrossRegime: crossRegime,
HumanReviewFlag: humanReview,
WinnerMargin: margin,
ScoreReasoning: assessReasoning(p, margin, crossRegime, primaryBinding),
}
}
func primaryLabel(p LegalSearchResult) string {
if p.CitationUnit != "" {
return p.CitationUnit
}
if p.ArticleLabel != "" {
return p.ArticleLabel
}
return strings.TrimSpace(p.RegulationShort + " " + p.Article)
}
// assessReasoning renders a short, human-readable justification (German).
func assessReasoning(p LegalSearchResult, margin float64, crossRegime, primaryBinding bool) string {
label := primaryLabel(p)
parts := make([]string, 0, 4)
if primaryBinding {
parts = append(parts, fmt.Sprintf("Primärtreffer %s: bindendes Recht (Autorität %d).", label, p.AuthorityWeight))
} else {
parts = append(parts, fmt.Sprintf("Primärtreffer %s ist keine bindende Norm (Leitlinie/Standard) — Quelle prüfen.", label))
}
if margin > 0 {
parts = append(parts, fmt.Sprintf("Vorsprung %.2f vor #2.", margin))
}
if margin < assessReviewMargin {
parts = append(parts, "Knapper Vorsprung — Alternativtreffer prüfen.")
}
if crossRegime {
parts = append(parts, "Mehrere Regime betroffen — Querbezug prüfen.")
}
return strings.Join(parts, " ")
}
// distinctNorms collapses results that share a citation (multiple chunks of the
// same article/annex) to the first — i.e. highest-ranked — occurrence. Results
// without any citation identity are each kept, since they cannot be matched.
func distinctNorms(results []LegalSearchResult) []LegalSearchResult {
seen := make(map[string]bool, len(results))
out := make([]LegalSearchResult, 0, len(results))
for _, r := range results {
key := r.CitationUnit
if key == "" {
key = r.ArticleLabel
}
if key != "" {
if seen[key] {
continue
}
seen[key] = true
}
out = append(out, r)
}
return out
}
// dedupStrings concatenates out+in, drops empties and the excluded value, and
// returns a stable de-duplicated slice (insertion order preserved).
func dedupStrings(out, in []string, exclude string) []string {
seen := map[string]bool{exclude: true}
res := make([]string, 0, len(out)+len(in))
for _, list := range [][]string{out, in} {
for _, s := range list {
if s == "" || seen[s] {
continue
}
seen[s] = true
res = append(res, s)
}
}
return res
}
@@ -1,112 +0,0 @@
package ucca
import "testing"
func ares(reg, cu, sc string, score float64, weight int, out, in []string) LegalSearchResult {
return LegalSearchResult{
RegulationShort: reg, CitationUnit: cu, SourceClass: sc, Score: score,
AuthorityWeight: weight, ReferencesOut: out, ReferencesIn: in,
}
}
func TestAssess_Empty(t *testing.T) {
if Assess(nil) != nil {
t.Error("empty results → nil assessment")
}
}
func TestAssess_BindingPrimary_NoReview(t *testing.T) {
results := []LegalSearchResult{
ares("CRA", "Art. 13 CRA", "binding_law", 1.05, 100,
[]string{"CRA Anhang I", "Art. 14 CRA"}, []string{"Art. 12 CRA"}),
ares("CRA", "Art. 14 CRA", "binding_law", 0.80, 100, nil, nil),
}
a := Assess(results)
if a == nil {
t.Fatal("nil assessment")
}
if a.PrimaryNorm != "Art. 13 CRA" || a.PrimaryRegulation != "CRA" {
t.Errorf("primary wrong: %+v", a)
}
if len(a.ConnectedNorms) != 3 { // out(2) + in(1), self excluded, deduped
t.Errorf("connected norms: %v", a.ConnectedNorms)
}
if a.CrossRegime {
t.Error("single regime must not be cross-regime")
}
if a.WinnerMargin < 0.24 || a.WinnerMargin > 0.26 {
t.Errorf("margin = %v, want ~0.25", a.WinnerMargin)
}
if a.HumanReviewFlag {
t.Error("clean binding + healthy margin + single regime → no review")
}
}
func TestAssess_CrossRegimeFlagsReview(t *testing.T) {
a := Assess([]LegalSearchResult{
ares("CRA", "Art. 13 CRA", "binding_law", 1.05, 100, nil, nil),
ares("DORA", "Art. 6 DORA", "binding_law", 0.70, 100, nil, nil),
})
if !a.CrossRegime || !a.HumanReviewFlag {
t.Errorf("cross-regime must flag review: %+v", a)
}
}
func TestAssess_NonBindingFlagsReview(t *testing.T) {
a := Assess([]LegalSearchResult{
ares("ENISA", "ENISA SBOM", "supervisory_guidance", 0.90, 70, nil, nil),
ares("ENISA", "ENISA X", "supervisory_guidance", 0.40, 70, nil, nil),
})
if !a.HumanReviewFlag {
t.Error("non-binding primary → review")
}
}
func TestAssess_TightMarginFlagsReview(t *testing.T) {
a := Assess([]LegalSearchResult{
ares("CRA", "Art. 13 CRA", "binding_law", 1.00, 100, nil, nil),
ares("CRA", "Art. 14 CRA", "binding_law", 0.98, 100, nil, nil),
})
if a.WinnerMargin >= 0.05 || !a.HumanReviewFlag {
t.Errorf("tight margin → review: %+v", a)
}
}
func TestAssess_MarginIsNormLevelNotChunkLevel(t *testing.T) {
// Two near-identical chunks of the SAME norm at the top, then a distinct norm.
results := []LegalSearchResult{
ares("CRA", "Art. 13 CRA", "binding_law", 1.050, 100, []string{"CRA Anhang I"}, nil),
ares("CRA", "Art. 13 CRA", "binding_law", 1.049, 100, nil, nil), // same norm
ares("CRA", "Art. 14 CRA", "binding_law", 0.800, 100, nil, nil),
}
a := Assess(results)
if a.WinnerMargin < 0.24 || a.WinnerMargin > 0.26 { // Art.13 vs Art.14, not chunk vs chunk
t.Errorf("margin must be norm-level (~0.25), got %v", a.WinnerMargin)
}
if a.HumanReviewFlag {
t.Error("healthy norm-level margin → no review")
}
}
func TestDistinctNorms(t *testing.T) {
got := distinctNorms([]LegalSearchResult{
{CitationUnit: "Art. 13 CRA"},
{CitationUnit: "Art. 13 CRA"}, // duplicate norm → collapsed
{CitationUnit: "Art. 14 CRA"},
{CitationUnit: ""}, // no identity → kept
{CitationUnit: ""}, // no identity → kept
})
if len(got) != 4 {
t.Errorf("want 4 (2 distinct + 2 unidentified), got %d", len(got))
}
}
func TestDedupStrings(t *testing.T) {
got := dedupStrings([]string{"a", "b", "", "a"}, []string{"b", "c"}, "self")
if len(got) != 3 || got[0] != "a" || got[1] != "b" || got[2] != "c" {
t.Errorf("dedup: %v", got)
}
if len(dedupStrings([]string{"self"}, nil, "self")) != 0 {
t.Error("excluded value must be dropped")
}
}
@@ -20,7 +20,6 @@ type LegalRAGClient struct {
httpClient *http.Client
textIndexEnsured map[string]bool
hybridEnabled bool
graphEnabled bool
}
// NewLegalRAGClient creates a new Legal RAG client using Ollama bge-m3 embeddings.
@@ -39,11 +38,6 @@ func NewLegalRAGClient() *LegalRAGClient {
}
hybridEnabled := os.Getenv("RAG_HYBRID_SEARCH") != "false"
// Graph-Expansion ist OPT-IN: kein gemessener Rang-Nutzen ggue. der Binding-Augmentation,
// +1 Qdrant-Call/Suche, Flutungsrisiko ueber Reverse-Kanten. Bleibt als Recall-Sicherheitsnetz
// fuer spaetere Luecken (RAG_GRAPH_EXPANSION=true). Die Graph-Kanten werden in der Response
// zur Begruendung/Vollstaendigkeit genutzt, nicht zur Pool-Expansion (Default).
graphEnabled := os.Getenv("RAG_GRAPH_EXPANSION") == "true"
return &LegalRAGClient{
qdrantURL: qdrantURL,
@@ -53,7 +47,6 @@ func NewLegalRAGClient() *LegalRAGClient {
collection: "bp_compliance_ce",
textIndexEnsured: make(map[string]bool),
hybridEnabled: hybridEnabled,
graphEnabled: graphEnabled,
httpClient: &http.Client{
Timeout: 60 * time.Second,
},
@@ -100,29 +93,6 @@ func (c *LegalRAGClient) searchInternal(ctx context.Context, collection string,
hits = denseHits
}
// Stratified: den binding_law-Pool ERGAENZEN (nicht ersetzen), damit die Pflichtquelle
// immer Kandidat ist — Guidance bleibt als Auslegungskontext erhalten. Best-effort:
// Fehler beim Binding-Query degradieren still auf den semantischen Pool.
if bindingHits, bErr := c.searchBinding(ctx, collection, embedding, topK); bErr == nil {
hits = mergeDedupHits(hits, bindingHits)
}
// Control-Augmentation: bei expliziter Umsetzungsfrage einen tiefen dense-Pool ziehen und
// nur die Control-Pool-Rollen behalten — so werden NIST/CRA-Anhang (dense rank ~8-9, unter
// dem kleinen top-K) Kandidaten. Re-Rank/applyControlRoles ordnen sie danach.
if queryWantsControls(query) {
if controlHits, cErr := c.searchControls(ctx, collection, embedding); cErr == nil {
hits = mergeDedupHits(hits, controlHits)
}
}
// Graph-Augmentation: verbundene Normen (references_out/in) der Top-Hits ueber die
// praezise Zitations-Kante in den Pool ziehen — z.B. Art. 13 CRA zieht Anhang I (die
// eigentliche Pflichtquelle). Pool-Augmentation only; Re-Rank + topK bleiben.
if c.graphEnabled {
hits = c.expandViaGraph(ctx, collection, hits)
}
results := make([]LegalSearchResult, len(hits))
for i, hit := range hits {
// Legal-Metadaten nach rag_reingest_spec.md §2: bevorzugt die normalisierten Felder
@@ -151,45 +121,12 @@ func (c *LegalRAGClient) searchInternal(ctx context.Context, collection string,
Pages: getIntSlice(hit.Payload, "pages"),
SourceURL: getString(hit.Payload, "source"),
Score: hit.Score,
AuthorityWeight: getInt(hit.Payload, "authority_weight"),
SourceClass: getString(hit.Payload, "source_class"),
Jurisdiction: getString(hit.Payload, "jurisdiction"),
CitationUnit: getString(hit.Payload, "citation_unit"),
ReferencesOut: getStringSlice(hit.Payload, "references_out"),
ReferencesIn: getStringSlice(hit.Payload, "references_in"),
Superseded: getString(hit.Payload, "status") == "superseded",
}
}
// Authority-aware Re-Ranking: bindendes Recht der passenden Jurisdiktion/Domaene nach
// oben, Guidance/Fremdrecht/Off-Domain runter (nichts wird geloescht). Reihenfolge only,
// Response-Schema unveraendert. Score traegt den Authority-Score, damit nachgelagerte
// Multi-Collection-Merges (Advisor) die Ordnung bewahren.
results = rerankByAuthority(query, results)
if topK > 0 && len(results) > topK {
results = results[:topK]
}
return results, nil
}
// mergeDedupHits concatenates two hit lists, keeping the first occurrence of each point ID.
func mergeDedupHits(primary, extra []qdrantSearchHit) []qdrantSearchHit {
seen := make(map[string]bool, len(primary)+len(extra))
out := make([]qdrantSearchHit, 0, len(primary)+len(extra))
for _, list := range [][]qdrantSearchHit{primary, extra} {
for _, h := range list {
id := fmt.Sprint(h.ID)
if seen[id] {
continue
}
seen[id] = true
out = append(out, h)
}
}
return out
}
// FormatLegalContextForPrompt formats the legal context for inclusion in an LLM prompt.
func (c *LegalRAGClient) FormatLegalContextForPrompt(lc *LegalContext) string {
if lc == nil || len(lc.Results) == 0 {
@@ -1,162 +0,0 @@
package ucca
import (
"bytes"
"context"
"encoding/json"
"fmt"
"io"
"net/http"
"sort"
)
// Graph-augmented retrieval: when a top hit cites an annex/article (references_out)
// or is cited by one (references_in), pull that connected norm into the candidate
// pool via the PRECISE citation graph instead of hoping semantic search surfaces
// it. E.g. a hit on CRA Art. 13 pulls in CRA Anhang I (the actual requirement).
// Pool-augmentation only — authority re-rank + topK slice still apply, so the
// response schema is unchanged.
const (
graphSeedCount = 5 // only the top hits seed the expansion
graphMaxExpand = 15 // cap connected norms pulled in (avoid pool explosion)
graphHopPenalty = 0.05 // a one-hop neighbour ranks just below its seed
)
// expandViaGraph augments hits with the norms they cite and the norms that cite
// them. Best-effort: on any error (or nothing to expand) the original hits are
// returned unchanged.
func (c *LegalRAGClient) expandViaGraph(ctx context.Context, collection string, hits []qdrantSearchHit) []qdrantSearchHit {
if len(hits) == 0 {
return hits
}
present := make(map[string]bool, len(hits))
for _, h := range hits {
if cu := getString(h.Payload, "citation_unit"); cu != "" {
present[cu] = true
}
}
seeds := hits
if len(seeds) > graphSeedCount {
seeds = seeds[:graphSeedCount]
}
// Forward edges only (references_out = the detail a hit explicitly points to,
// e.g. Art. 13 → Anhang I). Reverse (references_in) has high fan-out for popular
// annexes (Anhang I is cited by 23 articles) → pool flooding; it is surfaced as
// connected-norm metadata in the Phase 2 response instead of expanding the pool.
want := make(map[string]float64) // connected citation_unit -> best seeding score
for _, h := range seeds {
for _, cu := range getStringSlice(h.Payload, "references_out") {
if cu == "" || present[cu] {
continue
}
if s, ok := want[cu]; !ok || h.Score > s {
want[cu] = h.Score
}
}
}
if len(want) == 0 {
return hits
}
units := topByScore(want, graphMaxExpand)
fetched, err := c.fetchByCitationUnits(ctx, collection, units)
if err != nil || len(fetched) == 0 {
return hits
}
neighbours := make([]qdrantSearchHit, 0, len(fetched))
for cu, pt := range fetched {
neighbours = append(neighbours, qdrantSearchHit{ID: pt.ID, Score: want[cu] - graphHopPenalty, Payload: pt.Payload})
}
return mergeDedupHits(hits, neighbours)
}
// topByScore returns up to n keys with the highest values. Deterministic: ties
// broken by the key string so the cap is stable across runs.
func topByScore(m map[string]float64, n int) []string {
keys := make([]string, 0, len(m))
for k := range m {
keys = append(keys, k)
}
sort.Slice(keys, func(i, j int) bool {
if m[keys[i]] != m[keys[j]] {
return m[keys[i]] > m[keys[j]]
}
return keys[i] < keys[j]
})
if len(keys) > n {
keys = keys[:n]
}
return keys
}
// fetchByCitationUnits loads one representative point (the first chunk) per
// citation_unit from the given collection.
func (c *LegalRAGClient) fetchByCitationUnits(ctx context.Context, collection string, units []string) (map[string]qdrantScrollPoint, error) {
should := make([]map[string]interface{}, 0, len(units))
for _, cu := range units {
should = append(should, map[string]interface{}{"key": "citation_unit", "match": map[string]interface{}{"value": cu}})
}
reqBody := map[string]interface{}{
"limit": len(units) * 4,
"with_payload": true,
"with_vectors": false,
"filter": map[string]interface{}{"should": should},
}
jsonBody, err := json.Marshal(reqBody)
if err != nil {
return nil, err
}
url := fmt.Sprintf("%s/collections/%s/points/scroll", c.qdrantURL, collection)
req, err := http.NewRequestWithContext(ctx, "POST", url, bytes.NewReader(jsonBody))
if err != nil {
return nil, err
}
req.Header.Set("Content-Type", "application/json")
if c.qdrantAPIKey != "" {
req.Header.Set("api-key", c.qdrantAPIKey)
}
resp, err := c.httpClient.Do(req)
if err != nil {
return nil, err
}
defer func() { _ = resp.Body.Close() }()
if resp.StatusCode != http.StatusOK {
body, _ := io.ReadAll(resp.Body)
return nil, fmt.Errorf("qdrant scroll returned %d: %s", resp.StatusCode, string(body))
}
var scrollResp qdrantScrollResponse
if err := json.NewDecoder(resp.Body).Decode(&scrollResp); err != nil {
return nil, err
}
out := make(map[string]qdrantScrollPoint, len(units))
for _, pt := range scrollResp.Result.Points {
cu := getString(pt.Payload, "citation_unit")
if cu != "" {
if _, seen := out[cu]; !seen {
out[cu] = pt
}
}
}
return out, nil
}
// getStringSlice extracts a []string from a Qdrant payload list field
// (references_out / references_in are stored as JSON arrays of strings).
func getStringSlice(m map[string]interface{}, key string) []string {
v, ok := m[key]
if !ok {
return nil
}
arr, ok := v.([]interface{})
if !ok {
return nil
}
out := make([]string, 0, len(arr))
for _, item := range arr {
if s, ok := item.(string); ok {
out = append(out, s)
}
}
return out
}
@@ -1,89 +0,0 @@
package ucca
import (
"context"
"encoding/json"
"net/http"
"net/http/httptest"
"testing"
)
func TestGetStringSlice(t *testing.T) {
m := map[string]interface{}{
"refs": []interface{}{"a", "b", 3, "c"}, // non-strings are skipped
"str": "not-a-list",
}
got := getStringSlice(m, "refs")
if len(got) != 3 || got[0] != "a" || got[2] != "c" {
t.Errorf("refs: %v", got)
}
if getStringSlice(m, "missing") != nil {
t.Error("missing key should be nil")
}
if getStringSlice(m, "str") != nil {
t.Error("non-list should be nil")
}
}
func TestTopByScore_DeterministicCap(t *testing.T) {
m := map[string]float64{"x": 0.5, "y": 0.9, "z": 0.5, "w": 0.7}
got := topByScore(m, 2)
if len(got) != 2 || got[0] != "y" || got[1] != "w" {
t.Errorf("want [y w], got %v", got)
}
all := topByScore(m, 10)
if all[2] != "x" || all[3] != "z" { // tie 0.5 broken by key string
t.Errorf("tie-break not deterministic: %v", all)
}
}
func TestExpandViaGraph_NoSeedsOrRefs(t *testing.T) {
c := &LegalRAGClient{} // nil httpClient → must not be called on these paths
if out := c.expandViaGraph(context.Background(), "x", nil); out != nil {
t.Error("empty hits should return nil")
}
hits := []qdrantSearchHit{{ID: 1, Score: 0.8, Payload: map[string]interface{}{"citation_unit": "Art. 1 CRA"}}}
if out := c.expandViaGraph(context.Background(), "x", hits); len(out) != 1 {
t.Errorf("no references → unchanged, got %d", len(out))
}
}
func TestExpandViaGraph_PullsConnectedNorm(t *testing.T) {
srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, _ *http.Request) {
_ = json.NewEncoder(w).Encode(map[string]interface{}{
"result": map[string]interface{}{
"points": []map[string]interface{}{
{"id": 99, "payload": map[string]interface{}{
"citation_unit": "CRA Anhang I", "chunk_text": "Sicherheitsanforderungen",
"source_class": "binding_law", "authority_weight": 100, "regulation_short": "CRA",
}},
},
"next_page_offset": nil,
},
})
}))
defer srv.Close()
c := &LegalRAGClient{qdrantURL: srv.URL, httpClient: srv.Client()}
hits := []qdrantSearchHit{
{ID: 1, Score: 0.70, Payload: map[string]interface{}{
"citation_unit": "Art. 13 CRA", "references_out": []interface{}{"CRA Anhang I"},
}},
}
out := c.expandViaGraph(context.Background(), "bp_compliance_ce", hits)
if len(out) != 2 {
t.Fatalf("want 2 hits (seed + connected annex), got %d", len(out))
}
var found *qdrantSearchHit
for i := range out {
if getString(out[i].Payload, "citation_unit") == "CRA Anhang I" {
found = &out[i]
}
}
if found == nil {
t.Fatal("connected norm CRA Anhang I was not pulled into the pool")
}
if found.Score < 0.64 || found.Score > 0.66 { // 0.70 seed 0.05 hop penalty
t.Errorf("connected score = %v, want ~0.65", found.Score)
}
}
@@ -185,55 +185,6 @@ func (c *LegalRAGClient) searchDense(ctx context.Context, collection string, emb
searchReq.Filter = &qdrantFilter{Should: conditions}
}
return c.doPointsSearch(ctx, collection, searchReq)
}
// searchBinding fetches the top binding_law hits (authority-stratified pool) so the
// obligation source is always a candidate even when guidance dominates semantically.
// It AUGMENTS the semantic pool — guidance is preserved as interpretation context.
func (c *LegalRAGClient) searchBinding(ctx context.Context, collection string, embedding []float64, topK int) ([]qdrantSearchHit, error) {
searchReq := qdrantSearchRequest{
Vector: embedding,
Limit: topK,
WithPayload: true,
Filter: &qdrantFilter{Must: []qdrantCondition{
{Key: "source_class", Match: qdrantMatch{Value: "binding_law"}},
}},
}
return c.doPointsSearch(ctx, collection, searchReq)
}
// controlPoolDepth is how deep the dense control pull reaches. Measured: for an EU-cyber
// control query the relevant control sources sit at dense rank ~8-9 (NIST, CRA Annex), far
// below the client's small top-K — so a fixed dense depth of 60 reliably surfaces them.
const controlPoolDepth = 60
// searchControls fetches a DEEP dense pool and keeps only the control-pool roles, so control
// sources that the small top-K (hybrid) search misses become candidates on an implementation
// question. Role is derived in code (no source_role tag needed). AUGMENTS the pool — the
// caller gates it on control-intent.
func (c *LegalRAGClient) searchControls(ctx context.Context, collection string, embedding []float64) ([]qdrantSearchHit, error) {
searchReq := qdrantSearchRequest{
Vector: embedding,
Limit: controlPoolDepth,
WithPayload: true,
}
hits, err := c.doPointsSearch(ctx, collection, searchReq)
if err != nil {
return nil, err
}
kept := make([]qdrantSearchHit, 0, len(hits))
for _, h := range hits {
if isControlPoolRole(controlRoleOf(h.Payload)) {
kept = append(kept, h)
}
}
return kept, nil
}
// doPointsSearch issues a POST /points/search and decodes the hits.
func (c *LegalRAGClient) doPointsSearch(ctx context.Context, collection string, searchReq qdrantSearchRequest) ([]qdrantSearchHit, error) {
jsonBody, err := json.Marshal(searchReq)
if err != nil {
return nil, fmt.Errorf("failed to marshal search request: %w", err)
@@ -1,135 +0,0 @@
package ucca
import "testing"
func intentRes(reg, sourceClass string, sem float64, weight int) LegalSearchResult {
return LegalSearchResult{
RegulationShort: reg, SourceClass: sourceClass, Score: sem,
AuthorityWeight: weight, Jurisdiction: "EU",
}
}
func TestQueryWantsGuidance(t *testing.T) {
wants := []string{
"Was empfiehlt der EDPB zum DSB?",
"Was sagt die ENISA zu Security Updates?",
"laut DSK ...",
"Orientierungshilfe zur DSFA",
"Welche BSI-Empfehlung gilt?",
"Auslegung der Aufsichtsbehörde",
}
plain := []string{
"Ab wann braucht man einen Datenschutzbeauftragten?",
"Welche Anforderungen bestehen an Security Updates?",
}
for _, q := range wants {
if !queryWantsGuidance(q) {
t.Errorf("should detect interpretation intent: %q", q)
}
}
for _, q := range plain {
if queryWantsGuidance(q) {
t.Errorf("should NOT detect intent (norm question): %q", q)
}
}
}
func TestRerank_NormQuestion_BindingStaysTop(t *testing.T) {
// No intent signal → binding wins even though guidance is semantically higher.
results := []LegalSearchResult{
intentRes("EDPB DPO", "supervisory_guidance", 0.64, 70),
intentRes("DSGVO", "binding_law", 0.58, 100),
}
out := rerankByAuthority("Ab wann braucht man einen Datenschutzbeauftragten?", results)
if out[0].SourceClass != "binding_law" {
t.Errorf("norm question: binding must stay Top-1, got %s", out[0].SourceClass)
}
}
func TestRerank_InterpretationQuestion_GuidanceMayWin(t *testing.T) {
// Explicit intent + guidance semantically competitive → guidance wins.
results := []LegalSearchResult{
intentRes("EDPB DPO", "supervisory_guidance", 0.64, 70),
intentRes("DSGVO", "binding_law", 0.58, 100),
}
out := rerankByAuthority("Was empfiehlt der EDPB zum Datenschutzbeauftragten?", results)
if out[0].SourceClass != "supervisory_guidance" {
t.Errorf("interpretation question: guidance should win Top-1, got %s", out[0].SourceClass)
}
}
func TestRerank_OffTopicGuidance_BlockedByGuard(t *testing.T) {
// Intent present, but guidance semantic is far below the best binding hit →
// the margin guard keeps binding on top (no off-topic guideline override).
results := []LegalSearchResult{
intentRes("EDPB DPO", "supervisory_guidance", 0.40, 70),
intentRes("DSGVO", "binding_law", 0.58, 100),
}
out := rerankByAuthority("Was empfiehlt der EDPB zum Datenschutzbeauftragten?", results)
if out[0].SourceClass != "binding_law" {
t.Errorf("off-topic guidance must not win even with intent, got %s", out[0].SourceClass)
}
}
func TestQueryWantsControls(t *testing.T) {
wants := []string{
"Welche Controls passen zu Security Updates?",
"Welche Maßnahmen sollten wir umsetzen?",
"Wie härten wir den Server ab?",
"Gibt es NIST-Controls dafür?",
"OWASP Best Practice für Logging?",
"BSI Grundschutz Bausteine",
}
plain := []string{
"Welche Anforderungen bestehen an Security Updates?",
"Ab wann braucht man einen Datenschutzbeauftragten?",
}
for _, q := range wants {
if !queryWantsControls(q) {
t.Errorf("should detect control/implementation intent: %q", q)
}
}
for _, q := range plain {
if queryWantsControls(q) {
t.Errorf("should NOT detect control intent (norm question): %q", q)
}
}
}
func TestRerank_ControlQuestion_OperationalReqTop(t *testing.T) {
// User priority for implementation questions: operational_requirement (binding concrete,
// CRA Anhang I) > control_standard (NIST). Both are in the control-pool; op_req wins.
results := []LegalSearchResult{
{RegulationShort: "NIST SP 800-82r3", ArticleLabel: "AU-8", SourceClass: "technical_standard", AuthorityWeight: 80, Jurisdiction: "EU", Score: 0.60},
{RegulationShort: "CRA", ArticleLabel: "CRA Anhang I", Category: "regulation", Score: 0.58},
}
out := rerankByAuthority("Welche Controls und Massnahmen passen zu Security Updates?", results)
if out[0].RegulationShort != "CRA" {
t.Errorf("operational_requirement (CRA Anhang I) should be Top-1 over control_standard, got %q", out[0].RegulationShort)
}
}
func TestRerank_NormQuestion_BindingOverStandard(t *testing.T) {
// "Anforderungen" → no control intent → binding obligation stays Top-1 over the standard.
results := []LegalSearchResult{
intentRes("NIST SP 800-82", "technical_standard", 0.62, 80),
intentRes("CRA", "binding_law", 0.58, 100),
}
out := rerankByAuthority("Welche Anforderungen bestehen an Security Updates?", results)
if out[0].SourceClass != "binding_law" {
t.Errorf("norm question: binding must stay Top-1 over standard, got %s", out[0].SourceClass)
}
}
func TestRerank_ControlQuestion_PoolBeatsBareObligation(t *testing.T) {
// A control-pool source (NIST control_standard) outranks an abstract obligation with no
// domain/topic advantage, because the implementation intent boosts the control-pool.
results := []LegalSearchResult{
{RegulationShort: "NIST SP 800-82r3", ArticleLabel: "AU-8", SourceClass: "technical_standard", AuthorityWeight: 80, Jurisdiction: "EU", Score: 0.55},
{RegulationShort: "XYZ", ArticleLabel: "Art. 5 XYZ", Category: "regulation", Score: 0.58},
}
out := rerankByAuthority("Welche Controls und Massnahmen passen zu Security Updates?", results)
if out[0].RegulationShort != "NIST SP 800-82r3" {
t.Errorf("control_standard should beat a bare abstract obligation on a control question, got %q", out[0].RegulationShort)
}
}
@@ -225,18 +225,6 @@ func getIntSlice(m map[string]interface{}, key string) []int {
return result
}
func getInt(m map[string]interface{}, key string) int {
if v, ok := m[key]; ok {
switch n := v.(type) {
case float64:
return int(n)
case int:
return n
}
}
return 0
}
func contains(slice []string, item string) bool {
for _, s := range slice {
if s == item {
@@ -1,30 +0,0 @@
package ucca
import "testing"
// A superseded alt-source must rank below the same result when it is NOT
// superseded (the eu-v1 norm), but only demoted — the penalty is finite, so it
// stays in the pool and remains findable for history/transition questions.
func TestAuthorityScore_SupersededIsDemotedNotRemoved(t *testing.T) {
fresh := LegalSearchResult{
Score: 0.65, SourceClass: "binding_law", AuthorityWeight: 100,
Jurisdiction: "EU", RegulationShort: "CRA", Article: "13",
}
old := fresh
old.Superseded = true
sFresh := authorityScore("CRA Sicherheitsupdates Hersteller", fresh, "", false)
sOld := authorityScore("CRA Sicherheitsupdates Hersteller", old, "", false)
if sOld >= sFresh {
t.Errorf("superseded must score lower: fresh=%.3f superseded=%.3f", sFresh, sOld)
}
gap := sFresh - sOld
if gap < supersededPenalty-0.001 || gap > supersededPenalty+0.001 {
t.Errorf("demotion should equal supersededPenalty (%.2f), got %.3f", supersededPenalty, gap)
}
// Still a positive, finite score → present in the pool, not hidden.
if sOld <= -1 {
t.Errorf("superseded score collapsed (%.3f) — must remain findable", sOld)
}
}
@@ -399,9 +399,8 @@ func TestHybridSearch_UsesQueryAPI(t *testing.T) {
return
}
// /points/search is now the stratified binding-law augmentation query (it AUGMENTS
// the hybrid pool, it is not a dense fallback). Return empty so the hybrid hit
// remains the sole result for this test.
// Fallback: should not reach dense search
t.Error("Unexpected dense search call when hybrid succeeded")
json.NewEncoder(w).Encode(qdrantSearchResponse{Result: []qdrantSearchHit{}})
}))
defer qdrantMock.Close()
@@ -447,59 +446,6 @@ func TestHybridSearch_UsesQueryAPI(t *testing.T) {
}
}
// TestSearch_StratifiedBindingRerank verifies that the binding-law pool augments the
// semantic pool and that authority re-ranking lifts binding law above higher-semantic guidance.
func TestSearch_StratifiedBindingRerank(t *testing.T) {
ollamaMock := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
json.NewEncoder(w).Encode(ollamaEmbeddingResponse{Embedding: make([]float64, 1024)})
}))
defer ollamaMock.Close()
qdrantMock := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
if strings.Contains(r.URL.Path, "/index") {
w.WriteHeader(http.StatusOK)
w.Write([]byte(`{"result":{"status":"completed"}}`))
return
}
if strings.Contains(r.URL.Path, "/points/query") {
json.NewEncoder(w).Encode(qdrantQueryResponse{Result: []qdrantSearchHit{
{ID: "g1", Score: 0.72, Payload: map[string]interface{}{
"chunk_text": "ENISA guidance", "regulation_short": "ENISA",
"article_label": "ENISA CRA Mapping", "source_class": "supervisory_guidance",
"authority_weight": float64(70), "jurisdiction": "EU",
}},
}})
return
}
// /points/search = stratified binding-law pool (source_class=binding_law)
json.NewEncoder(w).Encode(qdrantSearchResponse{Result: []qdrantSearchHit{
{ID: "b1", Score: 0.66, Payload: map[string]interface{}{
"chunk_text": "CRA Anhang I requirement", "regulation_short": "CRA",
"article_label": "CRA Anhang I", "source_class": "binding_law",
"authority_weight": float64(100), "jurisdiction": "EU",
}},
}})
}))
defer qdrantMock.Close()
client := &LegalRAGClient{
qdrantURL: qdrantMock.URL, ollamaURL: ollamaMock.URL, embeddingModel: "bge-m3",
collection: "bp_compliance_ce", textIndexEnsured: make(map[string]bool),
hybridEnabled: true, httpClient: http.DefaultClient,
}
results, err := client.Search(context.Background(), "Was gilt hier?", nil, 5)
if err != nil {
t.Fatalf("search failed: %v", err)
}
if len(results) != 2 {
t.Fatalf("expected 2 merged results (guidance + binding), got %d", len(results))
}
if results[0].RegulationShort != "CRA" {
t.Errorf("binding CRA must rank first over higher-semantic guidance, got %q", results[0].RegulationShort)
}
}
func TestHybridSearch_FallbackToDense(t *testing.T) {
var requestedPaths []string
@@ -20,38 +20,6 @@ type LegalSearchResult struct {
Pages []int `json:"pages,omitempty"`
SourceURL string `json:"source_url"`
Score float64 `json:"score"`
// Interne Felder fuer das Authority-Re-Ranking (Phase 1) — NICHT serialisiert
// (json:"-"), daher kein Contract-Change. Aus dem Qdrant-Payload befuellt und nur
// fuer die Sortierung in rerankByAuthority verwendet.
AuthorityWeight int `json:"-"`
SourceClass string `json:"-"`
Jurisdiction string `json:"-"`
// Zitations-Graph (Phase 2) — intern, speist nur die Assessment-Berechnung
// (verbundene Normen, Begruendung). Pro-Result-Schema bleibt eingefroren.
CitationUnit string `json:"-"`
ReferencesOut []string `json:"-"`
ReferencesIn []string `json:"-"`
// Supersede-Status (status="superseded", use_for_primary=false) — Alt-Quelle,
// die fuer Default-Fragen demoted wird (nicht versteckt; fuer Historie auffindbar).
Superseded bool `json:"-"`
}
// LegalAssessment is the auditable explanation layer over a ranked result set:
// which norm is primary, which norms connect to it via the citation graph,
// whether the answer crosses regulatory regimes, and whether a human should
// review. Computed from the already-ranked results — it EXPLAINS retrieval, it
// does not change it (graph edges for reasoning/completeness, not pool-expansion).
type LegalAssessment struct {
PrimaryNorm string `json:"primary_norm"`
PrimaryRegulation string `json:"primary_regulation"`
ConnectedNorms []string `json:"connected_norms"`
CrossRegime bool `json:"cross_regime"`
HumanReviewFlag bool `json:"human_review_flag"`
WinnerMargin float64 `json:"winner_margin"`
ScoreReasoning string `json:"score_reasoning"`
}
// LegalContext represents aggregated legal context for an assessment.