137 lines
4.6 KiB
YAML
137 lines
4.6 KiB
YAML
# =====================================================================
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# CONFIGURATION PRESIDIO COMPLÈTE - RGPD FRANÇAIS/BELGE
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# =====================================================================
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# Langues supportées par l'ensemble du moteur
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supported_languages: [en, fr]
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# 1. CONFIGURATION DU MOTEUR NLP
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# =====================================================================
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nlp_configuration:
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nlp_engine_name: spacy
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models:
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- lang_code: en
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model_name: en_core_web_lg
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- lang_code: fr
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model_name: fr_core_news_sm
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ner_model_configuration:
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labels_to_ignore:
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- MISC
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- CARDINAL
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- EVENT
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- LANGUAGE
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- LAW
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- ORDINAL
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- PERCENT
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- PRODUCT
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- QUANTITY
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- WORK_OF_ART
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confidence_thresholds:
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DEFAULT_CONFIDENCE: 0.65
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entities:
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PERSON: 0.85
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LOCATION: 0.75
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ORGANIZATION: 0.7
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# 2. CONFIGURATION DU REGISTRE DES DÉTECTEURS
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# =====================================================================
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recognizer_registry:
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# A) CHARGER LES DÉTECTEURS PRÉDÉFINIS pour les langues supportées
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# Presidio va charger les versions 'en' et 'fr' si elles existent
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load_predefined_recognizers: true
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# B) AJOUTER VOS DÉTECTEURS PERSONNALISÉS (surtout pour le français)
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recognizers:
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- name: EmailRecognizer
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supported_language: fr
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entity_name: EMAIL_ADDRESS
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patterns:
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- name: Email Pattern
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regex: "\\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\\.[A-Z|a-z]{2,}\\b"
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score: 1.0
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context: ["email", "courriel", "mail"]
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- name: PhoneRecognizer
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supported_language: fr
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entity_name: PHONE_NUMBER
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patterns:
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- name: Phone Pattern (FR/BE/LUX)
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regex: "\\b(?:(?:\\+|00)?(?:32|33|352)|0)\\s?[1-9](?:[\\s.-]?\\d{2}){3,4}\\b"
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score: 0.8
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context: ["téléphone", "tel", "mobile", "gsm", "contact"]
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- name: IbanRecognizer
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supported_language: fr
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entity_name: IBAN
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patterns:
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- name: IBAN Pattern
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regex: "\\b[A-Z]{2}[0-9]{2}\\s?(?:[A-Z0-9]{4}\\s?){2,7}[A-Z0-9]{1,4}\\b"
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score: 0.95
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context: ["iban", "compte", "bancaire"]
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- name: CreditCardRecognizer
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supported_language: fr
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entity_name: CREDIT_CARD_NUMBER
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patterns:
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- name: Credit Card Pattern
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regex: "\\b(?:4[0-9]{12}(?:[0-9]{3})?|5[1-5][0-9]{14}|6(?:011|5[0-9]{2})[0-9]{12}|3[47][0-9]{13}|3(?:0[0-5]|[68][0-9])[0-9]{11}|(?:2131|1800|35\\d{3})\\d{11})\\b"
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score: 0.9
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context: ["carte bancaire", "visa", "mastercard", "amex"]
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- name: MoneyRecognizer
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supported_language: fr
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entity_name: MONEY
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patterns:
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- name: Money Pattern EUR
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regex: "(?:EUR|€)\\s*\\d{1,3}(?:[.,\\s]\\d{3})*(?:[.,]\\d{2})?|\\d{1,3}(?:[.,\\s]\\d{3})*(?:[.,]\\d{2})?\\s*(?:EUR|€)"
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score: 0.85
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- name: BelgianNRNRecognizer
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supported_language: fr
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entity_name: BE_NATIONAL_REGISTER_NUMBER
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patterns:
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- name: NRN Pattern
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regex: "\\b[0-9]{2}\\.[0-9]{2}\\.[0-9]{2}-[0-9]{3}\\.[0-9]{2}\\b"
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score: 1.0
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context: ["registre national", "nrn", "niss"]
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- name: BelgianEnterpriseRecognizer
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supported_language: fr
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entity_name: BE_ENTERPRISE_NUMBER
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patterns:
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- name: BE Enterprise Number
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regex: "\\bBE\\s?0\\d{3}[\\.\\s]?\\d{3}[\\.\\s]?\\d{3}\\b"
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score: 0.95
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context: ["numéro d'entreprise", "btw", "tva", "BCE", "KBO"]
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- name: FrenchINSEERecognizer
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supported_language: fr
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entity_name: FR_SOCIAL_SECURITY_NUMBER
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patterns:
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- name: INSEE Pattern
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regex: "\\b[12][\\s]?[0-9]{2}[\\s]?(?:0[1-9]|1[0-2])[\\s]?(?:2[ABab]|[0-9]{2})[\\s]?[0-9]{3}[\\s]?[0-9]{3}[\\s]?[0-9]{2}\\b"
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score: 0.95
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context: ["sécurité sociale", "insee", "nir"]
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- name: FrenchSIRENSIRETRecognizer
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supported_language: fr
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entity_name: FR_SIREN_SIRET
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patterns:
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- name: SIRET Pattern
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regex: "\\b[0-9]{3}[\\s]?[0-9]{3}[\\s]?[0-9]{3}[\\s]?[0-9]{5}\\b"
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score: 0.9
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- name: SIREN Pattern
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regex: "\\b[0-9]{3}[\\s]?[0-9]{3}[\\s]?[0-9]{3}\\b"
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score: 0.85
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context: ["siren", "siret"]
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# 3. LISTE D'EXCLUSION
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# =====================================================================
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allow_list:
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- Contrat
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- Document
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# ... (votre liste complète)
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# 4. CONFIGURATION D'ANONYMISATION (ne change pas)
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# =====================================================================
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# ... (votre section anonymizer_config reste ici)
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