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Sprint 1.12 Phase 1 (User-Vorgabe 2026-06-09):
Statt eigener 12 hartgepatchter Patterns nutzt der Impressum-Agent jetzt
die 75 echten Master-Controls aus compliance.doc_check_controls. Pipeline:
Layer 0 — Regex-Boost (meine 12 Patterns aus mcs.py / regex_boost.py)
→ wenn Pattern hits, MC wird zu PASS überschrieben
Layer 1 — Keyword-Match aus pass_criteria der 75 DB-MCs
(rag_document_checker.check_document_with_controls)
Layer 2 — BGE-M3 Embedding-Match (in rag_document_checker integriert)
Layer 3 — Semantic-Validator (LLM) für übriggebliebene HIGH/MEDIUM
+ Auto-Learning-Pattern-Library
Output-Layer bleibt unverändert: Disclaimer-Linter + Rollup-Dedup +
Methodik-First-UI.
Neue Dateien:
- impressum/v3_engine.py — Pipeline-Orchestrator
- impressum/regex_boost.py — meine 12 Patterns + Boost-Mapping
Refactored:
- impressum/agent.py — komplett umgeschrieben, agent_version=3.0
255 LOC (unter 500-Cap)
Tests: test_impressum_v3.py mit 10 neuen Tests, alle gruen. Mockt
run_v3_pipeline für offline-Lauf. Bestaetigt:
- Layer-0 erkennt Tesla-typische Felder
- Boost matched DB-MC nur bei ≥2 Keyword-Treffern in pass_criteria
- 12 Pattern-Boost-Slots + N DB-MCs in coverage
- Notes enthalten Telemetrie (v3-pipeline, Boost-Overrides)
Telemetrie wird in AgentOutput.notes ausgegeben, damit Frontend
sehen kann: 75 DB-MCs geprueft · 5 Pattern-Boosts · 3 Boost-Overrides.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>