demo: Test d'anonymisation sur document réel
- Test sur 003_simple_compte_rendu_CRO_23155084.pdf - 25 PII détectés (4 sur page principale + propagation globale) - Types: NOM, ADRESSE, CODE_POSTAL, DATE_NAISSANCE - Validation: AUCUNE FUITE détectée ✓ - Scripts d'analyse: analyze_anonymization_result.py, demo_complete_anonymization.py - Résultats dans tests/ground_truth/pdfs/anonymized_test/
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demo_complete_anonymization.py
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demo_complete_anonymization.py
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#!/usr/bin/env python3
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"""
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Démonstration complète : Anonymisation + Analyse
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"""
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import json
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from pathlib import Path
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from collections import Counter
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from evaluation import LeakScanner
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def show_comparison():
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"""Affiche une comparaison avant/après."""
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print("\n" + "="*80)
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print("DÉMONSTRATION COMPLÈTE : ANONYMISATION D'UN DOCUMENT RÉEL")
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print("="*80)
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# Fichiers
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original_pdf = Path("tests/ground_truth/pdfs/003_simple_compte_rendu_CRO_23155084.pdf")
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output_dir = Path("tests/ground_truth/pdfs/anonymized_test")
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base_name = "003_simple_compte_rendu_CRO_23155084"
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audit_path = output_dir / f"{base_name}.audit.jsonl"
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redacted_pdf = output_dir / f"{base_name}.redacted_raster.pdf"
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print(f"\n📄 DOCUMENT TRAITÉ")
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print(f" Original: {original_pdf.name}")
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print(f" Type: Compte-rendu opératoire (CRO)")
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print(f" Complexité: Simple (1 page)")
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# Extraire le texte original
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try:
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import fitz
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doc = fitz.open(original_pdf)
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original_text = doc[0].get_text()
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doc.close()
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print(f"\n📝 TEXTE ORIGINAL (extrait):")
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print(" " + "-"*76)
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lines = original_text.split('\n')[:8]
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for line in lines:
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if line.strip():
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print(f" {line[:76]}")
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print(" " + "-"*76)
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except Exception as e:
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print(f" ⚠ Impossible d'extraire le texte: {e}")
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# Analyser les PII détectés
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if audit_path.exists():
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print(f"\n🔍 PII DÉTECTÉS PAR LE SYSTÈME")
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pii_list = []
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with open(audit_path, 'r', encoding='utf-8') as f:
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for line in f:
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if line.strip():
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pii_list.append(json.loads(line))
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# PII de la page principale
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page0_pii = [p for p in pii_list if p.get('page') == 0]
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print(f"\n Sur la page principale ({len(page0_pii)} PII):")
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for pii in page0_pii:
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kind = pii['kind']
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original = pii.get('original', '')
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print(f" ✓ {kind:20s} : {original}")
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# Noms propagés
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extracted = [p for p in pii_list if 'EXTRACTED' in p.get('kind', '') or 'GLOBAL' in p.get('kind', '')]
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if extracted:
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unique_names = set(p['original'] for p in extracted if 'NOM' in p.get('kind', ''))
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print(f"\n Noms propagés sur tout le document ({len(unique_names)} uniques):")
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for name in sorted(unique_names):
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print(f" → {name}")
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# Statistiques
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type_counts = Counter(pii['kind'] for pii in pii_list)
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print(f"\n 📊 STATISTIQUES:")
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print(f" Total PII: {len(pii_list)}")
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print(f" Types différents: {len(type_counts)}")
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# Top 3
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print(f"\n Top 3 des types:")
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for pii_type, count in type_counts.most_common(3):
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print(f" {pii_type:20s} : {count}")
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# Texte anonymisé
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text_path = output_dir / f"{base_name}.pseudonymise.txt"
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if text_path.exists():
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with open(text_path, 'r', encoding='utf-8') as f:
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anon_text = f.read()
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print(f"\n📝 TEXTE ANONYMISÉ (extrait):")
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print(" " + "-"*76)
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lines = anon_text.split('\n')[:8]
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for line in lines:
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if line.strip():
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print(f" {line[:76]}")
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print(" " + "-"*76)
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# Scan de fuite
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if redacted_pdf.exists() and audit_path.exists():
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print(f"\n🔒 VALIDATION DE SÉCURITÉ")
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scanner = LeakScanner()
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leak_report = scanner.scan(redacted_pdf, audit_path)
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if leak_report.is_safe:
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print(f" ✅ DOCUMENT SÛR")
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print(f" Aucune fuite de PII détectée")
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print(f" Le document peut être diffusé en toute sécurité")
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else:
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print(f" ⚠️ ATTENTION - {leak_report.leak_count} fuite(s)")
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for severity, count in leak_report.severity_counts.items():
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print(f" {severity}: {count}")
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# Résumé
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print(f"\n" + "="*80)
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print("✨ RÉSUMÉ")
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print("="*80)
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print(f"\n✓ Document anonymisé avec succès")
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print(f"✓ {len(page0_pii)} PII détectés et masqués")
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print(f"✓ Propagation globale des noms sur tout le document")
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print(f"✓ Validation de sécurité : AUCUNE FUITE")
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print(f"\n📂 Fichiers générés:")
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print(f" • PDF anonymisé (raster): {redacted_pdf.name}")
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print(f" • PDF anonymisé (vector): {base_name}.redacted_vector.pdf")
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print(f" • Texte anonymisé: {base_name}.pseudonymise.txt")
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print(f" • Audit détaillé: {base_name}.audit.jsonl")
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print(f"\n💡 Répertoire: {output_dir}")
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print(f"\n🎯 PROCHAINES ÉTAPES:")
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print(f" 1. Annoter manuellement ce document")
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print(f" 2. Comparer avec l'évaluateur de qualité")
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print(f" 3. Calculer Précision, Rappel, F1-Score")
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print(f" 4. Identifier les améliorations possibles")
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print(f"\n" + "="*80)
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if __name__ == "__main__":
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show_comparison()
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