test-go failte seit 2026-06-19: VBR-OBL-001 ("Widerrufsbutton ab 19.06.2026") ist
seit dem Stichtag abgelaufen und faellt aus dem Zukunfts-Horizont von GetRegulatoryNews,
wodurch TestGetRegulatoryNews_FromRealFiles bricht. Fix: now-Referenz injizierbar
(GetRegulatoryNewsAt), Test nutzt fixes Datum -> deterministisch. Produktions-Caller
unveraendert (Wrapper). admin rag-query Marker, damit detect-changes admin mitbaut
(article_label-Rendering). go vet + alle ai-sdk-Tests lokal gruen.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
ai-sdk (legal_rag_client/scroll/types) liest die gepinnten Spec-Felder
article_label/regulation_code/article/paragraph/sub/citation_style/is_recital
mit Fallback auf alt-ingestierte Chunks (regulation_id, section); neuer getBool-Helfer.
Advisor + Drafting-Engine bilden die Quellenzeile primaer aus article_label
("BDSG § 38 Abs. 1"), sonst aus den strukturierten Feldern. 17 Tests gruen, tsc sauber.
Vertrag: docs-src/development/rag_reingest_spec.md (§2/§7). Deploy an den Re-Ingest
gekoppelt — neue Felder sind bis dahin leer (graceful Fallback).
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Eliminate the pre-existing TS errors that were masked by
next.config.js `typescript.ignoreBuildErrors: true`, then turn the flag
OFF so the compiler is a real safety net for future changes. `next build`
and `tsc --noEmit` now pass with 0 errors.
The errors were not cosmetic — several exposed real latent bugs hidden by
the flag, e.g. the drafting-engine ConstraintEnforcer read non-existent
fields (`t.rule.dsfaRequired`, `d.required`, `r.title`), so its DSFA hard
gate and risk-flag checks were silently no-ops; scopeDefaults read
snake_case CompanyProfile fields that never matched the camelCase type
(generator defaults never populated). Both fixed by aligning code to the
current types.
Highlights:
- Vitest globals: add vitest-globals.d.ts (config already had globals:true)
so the test files type-check; exclude Playwright specs from vitest.
- Add a minimal ambient `pg` module declaration (no @types/pg installed).
- Fix Next 15 route handlers to await Promise params.
- Reconcile drifted types across loeschfristen, compliance-scope, document-
generator, drafting-engine, vendor-compliance, agent and more.
Pre-existing (NOT caused here, proven by stashing the diff): 3 vitest
logic tests still fail — getNextStep (2) and buildDocumentScope priority (1).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Multi-Branche-Auswahl im CompanyProfile, erweiterte allowed-facts fuer
Drafting Engine, Demo-Daten und TOM-Generator Anpassungen.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Migrate queryRAG from klausur-service GET to bp-core-rag-service POST with
multi-collection support. Each of the 18 ScopeDocumentType now gets a
type-specific RAG collection and optimized search query instead of the
generic fallback. Vendor-compliance contract review now uses LLM + RAG
for real analysis with mock fallback on error.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add legal context enrichment from Qdrant vector corpus to the two
highest-priority modules (Requirements AI assistant and DSFA drafting
engine).
Go SDK:
- Add SearchCollection() with collection override + whitelist validation
- Refactor Search() to delegate to shared searchInternal()
Python backend:
- New ComplianceRAGClient proxying POST /sdk/v1/rag/search (error-tolerant)
- AI assistant: enrich interpret_requirement() and suggest_controls() with RAG
- Requirements API: add ?include_legal_context=true query parameter
Admin (Next.js):
- Extract shared queryRAG() utility from chat route
- Inject RAG legal context into v1 and v2 draft pipelines
Tests for all three layers (Go, Python, TypeScript shared utility).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Drafting Engine: 7-module pipeline with narrative tags, allowed facts governance,
PII sanitizer, prose validator with repair loop, hash-based cache, and terminology
guide. v1 fallback via ?v=1 query param.
IACE: Initial AI-Act Conformity Engine with risk classifier, completeness checker,
hazard library, and PostgreSQL store for AI system assessments.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Benjamin Admin