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breakpilot-compliance/document-crawler/tests/test_classifier.py
Benjamin Boenisch 364d2c69ff feat: Add Document Crawler & Auto-Onboarding service (Phase 1.4)
New standalone Python/FastAPI service for automatic compliance document
scanning, LLM-based classification, IPFS archival, and gap analysis.
Includes extractors (PDF, DOCX, XLSX, PPTX), keyword fallback classifier,
compliance matrix, and full REST API on port 8098.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-13 20:35:15 +01:00

37 lines
1.2 KiB
Python

"""Tests for keyword fallback classifier."""
import pytest
from classifiers.keyword_fallback import keyword_classify
def test_vvt_detection():
text = "Verzeichnis von Verarbeitungstaetigkeiten gemaess Art. 30 DSGVO"
result = keyword_classify(text, "vvt.pdf")
assert result["classification"] == "VVT"
assert result["confidence"] <= 0.3
def test_tom_detection():
text = "Technisch-organisatorische Massnahmen: Zutrittskontrolle, Zugangskontrolle, Verschluesselungskonzept"
result = keyword_classify(text, "toms.docx")
assert result["classification"] == "TOM"
def test_dse_detection():
text = "Datenschutzerklaerung: Informationspflichten nach Art. 13 DSGVO"
result = keyword_classify(text, "datenschutz.pdf")
assert result["classification"] == "DSE"
def test_unknown_document():
text = "Lorem ipsum dolor sit amet"
result = keyword_classify(text, "random.pdf")
assert result["classification"] == "Sonstiges"
assert result["confidence"] == 0.1
def test_confidence_capped():
text = "Verarbeitungsverzeichnis Art. 30 Kategorie betroffener Personen Datenkategorien Zweck der Verarbeitung"
result = keyword_classify(text, "vvt_complete.pdf")
assert result["confidence"] <= 0.3