doublon done

conf/anonymization/allow_list.yaml

@@ -10,6 +10,7 @@ allow_list:
   - TVA
   - IEC
   - expert-comptable
+  - prestataire
   # Termes financiers
   - Euro
   - EUR

conf/anonymization/replacements.yaml

@@ -5,7 +5,7 @@ anonymizer_config:
     PERSON: replace
     LOCATION: replace
     ORGANIZATION: replace
-    DATE_TIME: replace
+    DATE: replace
     MONEY: replace
     EMAIL_ADDRESS: replace
     IBAN: replace
@@ -45,11 +45,18 @@ anonymizer_config:
     PERSON: "[PERSONNE]"
     LOCATION: "[LIEU]"
     ORGANIZATION: "[ORGANISATION]"
-    DATE_TIME: "[DATE]"
+    DATE: "[DATE]"
     MONEY: "[MONTANT]"
     EMAIL_ADDRESS: "[EMAIL]"
     IBAN: "[IBAN]"
     IP_ADDRESS: "[ADRESSE_IP]"
+    
+    # PII Belges - AJOUTER CES LIGNES
+    BE_ENTERPRISE_NUMBER: "[ENTREPRISE_BELGE]"
+    BE_PHONE_NUMBER: "[TELEPHONE_BELGE]"
+    BE_ADDRESS: "[ADRESSE_BELGE]"
+    BE_ID_CARD: "[CARTE_ID_BELGE]"
+    BE_PASSPORT: "[PASSEPORT_BELGE]"
 
     # PII Génériques - Données sensibles RGPD
     HEALTH_DATA: "[DONNEES_SANTE]"

conf/nlp/spacy_config.yaml

@@ -15,9 +15,9 @@ nlp_configuration:
       ORGANIZATION: ORGANIZATION
       LOC: LOCATION
       LOCATION: LOCATION
-      DATE: DATE_TIME
-      TIME: DATE_TIME
-      MISC: DATE_TIME
+      DATE: DATE
+      TIME: TIME
+      MISC: MISC
     labels_to_ignore:
       - LOCATION
       - MISC
@@ -26,7 +26,6 @@ nlp_configuration:
       - LANGUAGE
       - LAW
       - ORDINAL
-      - PERCENT
       - PRODUCT
       - QUANTITY
       - WORK_OF_ART

conf/recognizers/PII/generic/dates.yaml

@@ -2,7 +2,7 @@ recognizer_registry:
   recognizers:
     - name: DateTimeRecognizer
       supported_language: fr
-      supported_entity: DATE_TIME
+      supported_entity: DATE
       patterns:
         # Formats français standards avec différents séparateurs
         - name: Date française DD/MM/YYYY
@@ -13,6 +13,23 @@ recognizer_registry:
           regex: "\\b(?:0?[1-9]|[12][0-9]|3[01])-(?:0?[1-9]|1[0-2])-(?:19|20)\\d{2}\\b"
           score: 0.95
 
+        # NOUVEAU: Formats courts DD-MM-YY
+        - name: Date française DD-MM-YY
+          regex: "\\b(?:0?[1-9]|[12][0-9]|3[01])-(?:0?[1-9]|1[0-2])-\\d{2}\\b"
+          score: 0.90
+
+        - name: Date française DD/MM/YY
+          regex: "\\b(?:0?[1-9]|[12][0-9]|3[01])/(?:0?[1-9]|1[0-2])/\\d{2}\\b"
+          score: 0.90
+
+        - name: Date belge DD.MM.YY
+          regex: "\\b(?:0?[1-9]|[12][0-9]|3[01])\\.(?:0?[1-9]|1[0-2])\\.\\d{2}\\b"
+          score: 0.90
+
+        - name: Date courte
+          regex: "\\b\\d{1,2}[-/.]\\d{1,2}[-/.]\\d{2}\\b"
+          score: 0.85
+
         - name: Date française DD MM YYYY (espaces)
           regex: "\\b(?:0?[1-9]|[12][0-9]|3[01])\\s+(?:0?[1-9]|1[0-2])\\s+(?:19|20)\\d{2}\\b"
           score: 0.9

post_processors/overlap_resolver.py

@@ -23,7 +23,6 @@ class OverlapResolver:
             'IP_ADDRESS': 82,
             'BE_ADDRESS': 75,
             'FR_ADDRESS': 75,
-            'DATE_TIME': 70,
             'ORGANIZATION': 65,
             'LOCATION': 60,
             'PERSON': 50,

refiners/date_refiner.py

@@ -24,7 +24,7 @@ class DateRefiner(EntityRefiner):
     """Raffineur pour les dates - élimine les faux positifs"""
     
     def __init__(self):
-        super().__init__("DATE_TIME")
+        super().__init__("DATE")
         # Patterns pour valider les vraies dates
         self.valid_date_patterns = [
             # Format DD/MM/YYYY