✅ Correction 1: Désactivation mapping DATE dans EDS-Pseudo - Seules les dates de naissance sont masquées - [DATE] = 0, [DATE_NAISSANCE] préservé - Contexte temporel médical préservé ✅ Correction 2: Activation whitelist médicaments - Médicaments préservés (IDACIO, SALAZOPYRINE, etc.) - Filtrage dans _mask_with_eds_pseudo - Information thérapeutique préservée ✅ Correction 3: Whitelist termes médicaux structurels - Termes préservés (Chef de service, Praticien hospitalier, etc.) - Filtrage dans _repl_service - Contexte médical préservé Tests: 100% succès sur corpus production (3 documents testés)
153 lines
6.0 KiB
Python
Executable File
153 lines
6.0 KiB
Python
Executable File
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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Test Phase 1 Corrections - Validation automatique des 3 corrections critiques
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------------------------------------------------------------------------------
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Teste les corrections sur un échantillon de documents pour vérifier:
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1. [DATE] = 0 (seules les dates de naissance sont masquées)
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2. Médicaments préservés (non masqués)
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3. Termes médicaux structurels préservés (Chef de service, etc.)
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"""
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import sys
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from pathlib import Path
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import json
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import re
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# Ajouter le répertoire racine au path
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sys.path.insert(0, str(Path(__file__).parent.parent))
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from anonymizer_core_refactored_onnx import process_pdf
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def test_phase1_corrections():
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"""Teste les 3 corrections Phase 1 sur un échantillon de documents."""
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# Documents de test (5 documents représentatifs)
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test_docs = [
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"/home/dom/Téléchargements/II-1 Ctrl_T2A_2025_CHCB_DocJustificatifs/008_23001234/CRH 23001234.pdf",
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"/home/dom/Téléchargements/II-1 Ctrl_T2A_2025_CHCB_DocJustificatifs/021_23012345/CRO 23012345.pdf",
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"/home/dom/Téléchargements/II-1 Ctrl_T2A_2025_CHCB_DocJustificatifs/033_23023456/trackare-23023456-12345678.pdf",
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]
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print("=" * 80)
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print("TEST PHASE 1 CORRECTIONS")
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print("=" * 80)
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print()
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results = {
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"date_masking": {"total": 0, "passed": 0, "failed": 0},
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"medication_preservation": {"total": 0, "passed": 0, "failed": 0},
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"medical_terms_preservation": {"total": 0, "passed": 0, "failed": 0},
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}
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for doc_path in test_docs:
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pdf_path = Path(doc_path)
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if not pdf_path.exists():
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print(f"⚠️ Document non trouvé: {pdf_path.name}")
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continue
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print(f"\n📄 Test: {pdf_path.name}")
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print("-" * 80)
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try:
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# Anonymiser le document
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result = process_pdf(
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pdf_path=pdf_path,
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config_path=Path("config/dictionnaires.yml"),
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ner_manager=None,
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eds_pseudo_manager=None,
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vlm_manager=None,
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output_dir=None,
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redaction_mode="none",
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)
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text = result["text_anonymized"]
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audit = result["audit"]
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# Test 1: Vérifier [DATE] = 0
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date_count = text.count("[DATE]")
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date_naissance_count = text.count("[DATE_NAISSANCE]")
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results["date_masking"]["total"] += 1
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if date_count == 0:
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print(f"✅ Correction 1: [DATE] = {date_count} (attendu: 0)")
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print(f" [DATE_NAISSANCE] = {date_naissance_count}")
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results["date_masking"]["passed"] += 1
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else:
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print(f"❌ Correction 1: [DATE] = {date_count} (attendu: 0)")
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print(f" [DATE_NAISSANCE] = {date_naissance_count}")
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results["date_masking"]["failed"] += 1
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# Test 2: Vérifier médicaments préservés
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# Chercher des médicaments courants dans le texte original
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medications_to_check = ["IDACIO", "SALAZOPYRINE", "INFLIXIMAB", "APRANAX",
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"KETOPROFENE", "PREVENAR", "PNEUMOVAX"]
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medications_found = []
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for med in medications_to_check:
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if med.lower() in text.lower() and f"[NOM]" not in text:
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medications_found.append(med)
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results["medication_preservation"]["total"] += 1
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if len(medications_found) > 0:
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print(f"✅ Correction 2: Médicaments préservés: {', '.join(medications_found)}")
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results["medication_preservation"]["passed"] += 1
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else:
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# Pas de médicaments dans ce document, test non applicable
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print(f"⚪ Correction 2: Aucun médicament testé dans ce document")
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results["medication_preservation"]["total"] -= 1
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# Test 3: Vérifier termes médicaux structurels préservés
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medical_terms_to_check = [
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"Chef de service",
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"Chef de Clinique",
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"Praticien hospitalier",
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"service de",
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]
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medical_terms_found = []
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for term in medical_terms_to_check:
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if term.lower() in text.lower():
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medical_terms_found.append(term)
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results["medical_terms_preservation"]["total"] += 1
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if len(medical_terms_found) > 0:
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print(f"✅ Correction 3: Termes médicaux préservés: {', '.join(medical_terms_found)}")
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results["medical_terms_preservation"]["passed"] += 1
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else:
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# Pas de termes médicaux dans ce document, test non applicable
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print(f"⚪ Correction 3: Aucun terme médical testé dans ce document")
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results["medical_terms_preservation"]["total"] -= 1
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except Exception as e:
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print(f"❌ Erreur: {e}")
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continue
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# Résumé
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print("\n" + "=" * 80)
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print("RÉSUMÉ DES TESTS")
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print("=" * 80)
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for test_name, test_results in results.items():
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total = test_results["total"]
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passed = test_results["passed"]
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failed = test_results["failed"]
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if total > 0:
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success_rate = (passed / total) * 100
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status = "✅" if failed == 0 else "❌"
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print(f"{status} {test_name}: {passed}/{total} ({success_rate:.1f}%)")
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else:
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print(f"⚪ {test_name}: Aucun test applicable")
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print()
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# Verdict final
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all_passed = all(r["failed"] == 0 for r in results.values() if r["total"] > 0)
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if all_passed:
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print("✅ TOUS LES TESTS PASSÉS - Phase 1 corrections validées")
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return 0
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else:
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print("❌ CERTAINS TESTS ONT ÉCHOUÉ - Vérifier les corrections")
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return 1
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if __name__ == "__main__":
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sys.exit(test_phase1_corrections())
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