feat(phase1): Implémentation corrections qualité Phase 1
✅ 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)
This commit is contained in:
59
tools/quick_test_date_correction.py
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59
tools/quick_test_date_correction.py
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""Test rapide de la correction DATE"""
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import sys
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from pathlib import 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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# Test sur 3 documents du test dataset
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test_docs = [
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"tests/ground_truth/pdfs/001_simple_compte_rendu_460_23153652_CR_COLOSCOPIE.pdf",
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"tests/ground_truth/pdfs/008_moyen_compte_rendu_195_23144210_ANAPATH.pdf",
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"tests/ground_truth/pdfs/013_moyen_compte_rendu_363_23085243_CRO.pdf",
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]
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print("Test correction DATE (Phase 1)")
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print("=" * 80)
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out_dir = Path("tests/phase1_test_output")
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out_dir.mkdir(exist_ok=True)
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for doc in test_docs:
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pdf_path = Path(doc)
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if not pdf_path.exists():
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print(f"⚠️ {pdf_path.name}: non trouvé")
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continue
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try:
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result = process_pdf(
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pdf_path=pdf_path,
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out_dir=out_dir,
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make_vector_redaction=False,
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also_make_raster_burn=False,
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config_path=Path("config/dictionnaires.yml"),
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use_hf=False,
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ner_manager=None,
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vlm_manager=None,
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)
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# Lire le fichier texte anonymisé
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text_file = out_dir / f"{pdf_path.stem}.pseudonymise.txt"
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if text_file.exists():
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text = text_file.read_text(encoding='utf-8')
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date_count = text.count("[DATE]")
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date_naissance_count = text.count("[DATE_NAISSANCE]")
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status = "✅" if date_count == 0 else "❌"
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print(f"{status} {pdf_path.name}")
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print(f" [DATE]: {date_count} (attendu: 0)")
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print(f" [DATE_NAISSANCE]: {date_naissance_count}")
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else:
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print(f"⚠️ {pdf_path.name}: fichier texte non trouvé")
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except Exception as e:
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print(f"❌ {pdf_path.name}: Erreur - {e}")
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print("\n✅ Test terminé")
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@@ -1,144 +1,152 @@
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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Test des corrections Phase 1 sur un échantillon de documents.
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Vérifie que:
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1. Les termes médicaux structurels ne sont PAS masqués
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2. Les médicaments ne sont PAS masqués
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3. Les dates de consultation ne sont PAS masquées (seules les dates de naissance)
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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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sys.path.insert(0, '.')
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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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"""Test les 3 corrections Phase 1 sur un échantillon de documents."""
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"""Teste les 3 corrections Phase 1 sur un échantillon de documents."""
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# Chercher des documents de test
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test_dir = Path("tests/ground_truth/pdfs")
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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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# Sélectionner 5 documents pour le test (éviter les .annotations.json)
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pdf_files = [f for f in test_dir.glob("*.pdf") if not f.name.endswith('.annotations.json')][:5]
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if not pdf_files:
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print("❌ Aucun document de test trouvé")
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return
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print(f"Test des corrections Phase 1 sur {len(pdf_files)} documents...")
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print("=" * 80)
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output_dir = Path("tests/ground_truth/pdfs/phase1_test")
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output_dir.mkdir(parents=True, exist_ok=True)
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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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'medical_terms_preserved': 0,
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'medications_preserved': 0,
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'dates_reduced': 0,
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'total_docs': 0
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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 i, pdf_path in enumerate(pdf_files, 1):
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print(f"\n[{i}/{len(pdf_files)}] {pdf_path.name}")
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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
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# Anonymiser le document
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result = process_pdf(
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pdf_path,
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output_dir,
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make_vector_redaction=False,
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also_make_raster_burn=False,
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config_path=Path("config/dictionnaires.yml")
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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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# Lire le texte anonymisé
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text_file = Path(result['text'])
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anonymized_text = text_file.read_text(encoding='utf-8')
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text = result["text_anonymized"]
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audit = result["audit"]
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# Test 1: Vérifier que les termes médicaux structurels sont préservés
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medical_terms = [
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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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"Chef de Clinique",
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"Praticien hospitalier",
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"service de",
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"unité 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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medical_preserved = 0
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for term in medical_terms:
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if term.lower() in anonymized_text.lower():
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medical_preserved += 1
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# Test 2: Vérifier que les médicaments sont préservés
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medications = [
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"IDACIO",
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"Salazopyrine",
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"Infliximab",
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"Apranax"
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]
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medications_preserved = 0
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for med in medications:
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if med.lower() in anonymized_text.lower():
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medications_preserved += 1
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# Test 3: Compter les masques [DATE] vs [DATE_NAISSANCE]
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date_masks = len(re.findall(r'\[DATE\]', anonymized_text))
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date_naissance_masks = len(re.findall(r'\[DATE_NAISSANCE\]', anonymized_text))
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print(f" ✓ Termes médicaux préservés: {medical_preserved}/{len(medical_terms)}")
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print(f" ✓ Médicaments préservés: {medications_preserved}/{len(medications)}")
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print(f" ✓ [DATE]: {date_masks}, [DATE_NAISSANCE]: {date_naissance_masks}")
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# Vérifier que [DATE] = 0 (correction réussie)
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if date_masks == 0:
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results['dates_reduced'] += 1
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print(f" ✅ Correction dates: OK (0 [DATE])")
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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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print(f" ⚠️ Correction dates: {date_masks} [DATE] restants")
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if medical_preserved > 0:
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results['medical_terms_preserved'] += 1
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if medications_preserved > 0:
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results['medications_preserved'] += 1
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results['total_docs'] += 1
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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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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 CORRECTIONS PHASE 1")
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print("RÉSUMÉ DES TESTS")
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print("=" * 80)
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print(f"\nDocuments testés: {results['total_docs']}")
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print(f"\n✅ Correction 1.1 (Termes médicaux):")
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print(f" Documents avec termes préservés: {results['medical_terms_preserved']}/{results['total_docs']}")
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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(f"\n✅ Correction 1.2 (Médicaments):")
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print(f" Documents avec médicaments préservés: {results['medications_preserved']}/{results['total_docs']}")
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print()
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print(f"\n✅ Correction 1.3 (Dates):")
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print(f" Documents avec [DATE]=0: {results['dates_reduced']}/{results['total_docs']}")
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success_rate = (
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results['medical_terms_preserved'] +
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results['medications_preserved'] +
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results['dates_reduced']
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) / (results['total_docs'] * 3) * 100
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print(f"\n📊 Taux de succès global: {success_rate:.1f}%")
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if success_rate >= 80:
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print("\n✅ PHASE 1 CORRECTIONS VALIDÉES")
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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("\n⚠️ PHASE 1 CORRECTIONS PARTIELLES - Vérification manuelle requise")
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print(f"\n📁 Résultats dans: {output_dir}")
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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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test_phase1_corrections()
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sys.exit(test_phase1_corrections())
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150
tools/validate_phase1_on_production.py
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150
tools/validate_phase1_on_production.py
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@@ -0,0 +1,150 @@
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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Validation Phase 1 sur corpus production
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-----------------------------------------
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Teste les 3 corrections sur 5 documents du corpus production.
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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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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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# 5 documents du corpus production (OGC 008)
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corpus_dir = Path("/home/dom/Téléchargements/II-1 Ctrl_T2A_2025_CHCB_DocJustificatifs")
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test_docs = [
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corpus_dir / "008_23001234" / "CRH 23001234.pdf",
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corpus_dir / "008_23001234" / "CRO 23001234.pdf",
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]
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# Fallback: si les documents OGC 008 n'existent pas, utiliser d'autres
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if not test_docs[0].exists():
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# Chercher les premiers documents disponibles
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test_docs = []
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for ogc_dir in sorted(corpus_dir.glob("*_*"))[:3]:
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for pdf in ogc_dir.glob("*.pdf"):
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if not pdf.name.endswith(".redacted_raster.pdf"):
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test_docs.append(pdf)
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break
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if len(test_docs) >= 5:
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break
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print("=" * 80)
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print("VALIDATION PHASE 1 - CORPUS PRODUCTION")
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print("=" * 80)
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print()
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out_dir = Path("tests/phase1_production_test")
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out_dir.mkdir(exist_ok=True)
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results = {
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"date_correction": {"passed": 0, "failed": 0, "total": 0},
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"medication_preservation": {"passed": 0, "failed": 0, "total": 0},
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"medical_terms_preservation": {"passed": 0, "failed": 0, "total": 0},
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}
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for pdf_path in test_docs[:5]:
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if not pdf_path.exists():
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continue
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print(f"📄 {pdf_path.parent.name}/{pdf_path.name}")
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print("-" * 80)
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try:
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result = process_pdf(
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pdf_path=pdf_path,
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out_dir=out_dir,
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make_vector_redaction=False,
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also_make_raster_burn=False,
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config_path=Path("config/dictionnaires.yml"),
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use_hf=False,
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ner_manager=None,
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vlm_manager=None,
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)
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# Lire le texte anonymisé
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text_file = out_dir / f"{pdf_path.stem}.pseudonymise.txt"
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if not text_file.exists():
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print("⚠️ Fichier texte non trouvé")
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continue
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text = text_file.read_text(encoding='utf-8')
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# Test 1: [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_correction"]["total"] += 1
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if date_count == 0:
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print(f"✅ Correction 1: [DATE] = {date_count}, [DATE_NAISSANCE] = {date_naissance_count}")
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results["date_correction"]["passed"] += 1
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else:
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print(f"❌ Correction 1: [DATE] = {date_count} (attendu: 0)")
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results["date_correction"]["failed"] += 1
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# Test 2: Médicaments préservés
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medications = ["idacio", "salazopyrine", "infliximab", "methotrexate",
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"cortancyl", "bisoprolol", "entresto"]
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meds_found = [m for m in medications if m in text.lower()]
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if meds_found:
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results["medication_preservation"]["total"] += 1
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# Vérifier qu'ils ne sont pas masqués
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meds_masked = [m for m in meds_found if f"[NOM]" in text[max(0, text.lower().find(m)-10):text.lower().find(m)+len(m)+10]]
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if not meds_masked:
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print(f"✅ Correction 2: Médicaments préservés: {', '.join(meds_found[:3])}")
|
||||
results["medication_preservation"]["passed"] += 1
|
||||
else:
|
||||
print(f"❌ Correction 2: Médicaments masqués: {', '.join(meds_masked)}")
|
||||
results["medication_preservation"]["failed"] += 1
|
||||
|
||||
# Test 3: Termes médicaux structurels préservés
|
||||
medical_terms = ["chef de service", "chef de clinique", "praticien hospitalier",
|
||||
"service de", "unité de"]
|
||||
terms_found = [t for t in medical_terms if t in text.lower()]
|
||||
|
||||
if terms_found:
|
||||
results["medical_terms_preservation"]["total"] += 1
|
||||
# Vérifier qu'ils ne sont pas masqués
|
||||
terms_masked = [t for t in terms_found if "[MASK]" in text[max(0, text.lower().find(t)-5):text.lower().find(t)+len(t)+15]]
|
||||
if not terms_masked:
|
||||
print(f"✅ Correction 3: Termes médicaux préservés: {', '.join(terms_found[:2])}")
|
||||
results["medical_terms_preservation"]["passed"] += 1
|
||||
else:
|
||||
print(f"❌ Correction 3: Termes masqués: {', '.join(terms_masked)}")
|
||||
results["medical_terms_preservation"]["failed"] += 1
|
||||
|
||||
print()
|
||||
|
||||
except Exception as e:
|
||||
print(f"❌ Erreur: {e}")
|
||||
print()
|
||||
continue
|
||||
|
||||
# Résumé
|
||||
print("=" * 80)
|
||||
print("RÉSUMÉ")
|
||||
print("=" * 80)
|
||||
|
||||
for test_name, test_results in results.items():
|
||||
total = test_results["total"]
|
||||
passed = test_results["passed"]
|
||||
failed = test_results["failed"]
|
||||
|
||||
if total > 0:
|
||||
success_rate = (passed / total) * 100
|
||||
status = "✅" if failed == 0 else "❌"
|
||||
print(f"{status} {test_name}: {passed}/{total} ({success_rate:.1f}%)")
|
||||
else:
|
||||
print(f"⚪ {test_name}: Aucun test applicable")
|
||||
|
||||
print()
|
||||
|
||||
# Verdict
|
||||
all_passed = all(r["failed"] == 0 for r in results.values() if r["total"] > 0)
|
||||
if all_passed:
|
||||
print("✅ PHASE 1 VALIDÉE - Toutes les corrections fonctionnent")
|
||||
else:
|
||||
print("⚠️ Certains tests ont échoué - Vérifier les résultats")
|
||||
Reference in New Issue
Block a user