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Benjamin Admin e6201d5239 feat: Anti-Fake-Evidence System (Phase 1-4b)
Implement full evidence integrity pipeline to prevent compliance theater:
- Confidence levels (E0-E4), truth status tracking, assertion engine
- Four-Eyes approval workflow, audit trail, reject endpoint
- Evidence distribution dashboard, LLM audit routes
- Traceability matrix (backend endpoint + Compliance Hub UI tab)
- Anti-fake badges, control status machine, normative patterns
- 2 migrations, 4 test suites, MkDocs documentation

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-23 17:15:45 +01:00

60 lines
2.4 KiB
Python

"""Shared normative language patterns for assertion classification.
Extracted from decomposition_pass.py for reuse in the assertion engine.
"""
import re
_PFLICHT_SIGNALS = [
r"\bmüssen\b", r"\bmuss\b", r"\bhat\s+sicherzustellen\b",
r"\bhaben\s+sicherzustellen\b", r"\bsind\s+verpflichtet\b",
r"\bist\s+verpflichtet\b",
r"\bist\s+zu\s+\w+en\b", r"\bsind\s+zu\s+\w+en\b",
r"\bhat\s+zu\s+\w+en\b", r"\bhaben\s+zu\s+\w+en\b",
r"\bist\s+\w+zu\w+en\b", r"\bsind\s+\w+zu\w+en\b",
r"\bist\s+\w+\s+zu\s+\w+en\b", r"\bsind\s+\w+\s+zu\s+\w+en\b",
r"\bhat\s+\w+\s+zu\s+\w+en\b", r"\bhaben\s+\w+\s+zu\s+\w+en\b",
r"\bshall\b", r"\bmust\b", r"\brequired\b",
r"\b\w+zuteilen\b", r"\b\w+zuwenden\b", r"\b\w+zustellen\b", r"\b\w+zulegen\b",
r"\b\w+zunehmen\b", r"\b\w+zuführen\b", r"\b\w+zuhalten\b", r"\b\w+zusetzen\b",
r"\b\w+zuweisen\b", r"\b\w+zuordnen\b", r"\b\w+zufügen\b", r"\b\w+zugeben\b",
r"\bist\b.{1,80}\bzu\s+\w+en\b", r"\bsind\b.{1,80}\bzu\s+\w+en\b",
]
PFLICHT_RE = re.compile("|".join(_PFLICHT_SIGNALS), re.IGNORECASE)
_EMPFEHLUNG_SIGNALS = [
r"\bsoll\b", r"\bsollen\b", r"\bsollte\b", r"\bsollten\b",
r"\bgewährleisten\b", r"\bsicherstellen\b",
r"\bshould\b", r"\bensure\b", r"\brecommend\w*\b",
r"\bnachweisen\b", r"\beinhalten\b", r"\bunterlassen\b", r"\bwahren\b",
r"\bdokumentieren\b", r"\bimplementieren\b", r"\büberprüfen\b", r"\büberwachen\b",
r"\bprüfen,\s+ob\b", r"\bkontrollieren,\s+ob\b",
]
EMPFEHLUNG_RE = re.compile("|".join(_EMPFEHLUNG_SIGNALS), re.IGNORECASE)
_KANN_SIGNALS = [
r"\bkann\b", r"\bkönnen\b", r"\bdarf\b", r"\bdürfen\b",
r"\bmay\b", r"\boptional\b",
]
KANN_RE = re.compile("|".join(_KANN_SIGNALS), re.IGNORECASE)
NORMATIVE_RE = re.compile(
"|".join(_PFLICHT_SIGNALS + _EMPFEHLUNG_SIGNALS + _KANN_SIGNALS),
re.IGNORECASE,
)
_RATIONALE_SIGNALS = [
r"\bda\s+", r"\bweil\b", r"\bgrund\b", r"\berwägung",
r"\bbecause\b", r"\breason\b", r"\brationale\b",
r"\bkönnen\s+.*\s+verursachen\b", r"\bführt\s+zu\b",
]
RATIONALE_RE = re.compile("|".join(_RATIONALE_SIGNALS), re.IGNORECASE)
# Evidence-related keywords (for fact detection)
_EVIDENCE_KEYWORDS = [
r"\bnachweis\b", r"\bzertifikat\b", r"\baudit.report\b",
r"\bprotokoll\b", r"\bdokumentation\b", r"\bbericht\b",
r"\bcertificate\b", r"\bevidence\b", r"\bproof\b",
]
EVIDENCE_RE = re.compile("|".join(_EVIDENCE_KEYWORDS), re.IGNORECASE)