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Update app.py

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Nacim
2025-06-23 17:13:31 +02:00
committed by GitHub
parent 9761353083
commit 4d3c8cb649
1 changed files with 13 additions and 21 deletions
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app.py
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@@ -30,20 +30,19 @@ try:
logger.info("Creating NLP engine provider...") logger.info("Creating NLP engine provider...")
provider = NlpEngineProvider(nlp_configuration=config) provider = NlpEngineProvider(nlp_configuration=config)
# 3. Créer un registre et le VIDER immédiatement # 3. Créer le registre. Il contient déjà les détecteurs anglais par défaut.
logger.info("Creating a new RecognizerRegistry...") logger.info("Creating RecognizerRegistry (with default EN recognizers)...")
registry = RecognizerRegistry() registry = RecognizerRegistry()
logger.info(f"Initial registry state supports: {registry.supported_languages}") logger.info(f"Initial registry state supports: {registry.supported_languages}")
# === LA CORRECTION DÉFINITIVE === # 4. AJOUTER les détecteurs français à ce registre existant
# On vide la liste interne pour enlever le détecteur anglais par défaut. logger.info("Adding French recognizers to the existing registry...")
registry.recognizers.clear()
logger.info(f"Registry cleared. Now supports: {registry.supported_languages}")
# 4. Reconstruire le registre à partir de zéro # Ajouter le support des entités de base (PERSON, LOC) pour le français
logger.info("Rebuilding registry from scratch...") registry.add_recognizer(SpacyRecognizer(supported_language="fr"))
logger.info("Added SpacyRecognizer for 'fr'.")
# D'abord, ajouter tous vos détecteurs personnalisés (qui sont surtout pour 'fr') # Ajouter tous vos détecteurs personnalisés (qui sont pour 'fr')
for recognizer_conf in config.get("recognizers", []): for recognizer_conf in config.get("recognizers", []):
patterns = [Pattern(name=p['name'], regex=p['regex'], score=p['score']) for p in recognizer_conf['patterns']] patterns = [Pattern(name=p['name'], regex=p['regex'], score=p['score']) for p in recognizer_conf['patterns']]
registry.add_recognizer(PatternRecognizer( registry.add_recognizer(PatternRecognizer(
@@ -53,17 +52,11 @@ try:
patterns=patterns, patterns=patterns,
context=recognizer_conf.get('context') context=recognizer_conf.get('context')
)) ))
logger.info(f"Added custom recognizer '{recognizer_conf['name']}' for language '{recognizer_conf['supported_language']}'") logger.info(f"Added custom recognizer '{recognizer_conf['name']}' for language 'fr'")
# Ensuite, ajouter le support des entités de base (PERSON, LOC) pour les DEUX langues
registry.add_recognizer(SpacyRecognizer(supported_language="en"))
logger.info("Added SpacyRecognizer for 'en'.")
registry.add_recognizer(SpacyRecognizer(supported_language="fr"))
logger.info("Added SpacyRecognizer for 'fr'.")
logger.info(f"Final registry state. Should now support: {registry.supported_languages}") logger.info(f"Final registry state. Should now support: {registry.supported_languages}")
# 5. Créer l'AnalyzerEngine avec le registre maintenant cohérent # 5. Créer l'AnalyzerEngine
logger.info("Initializing AnalyzerEngine...") logger.info("Initializing AnalyzerEngine...")
analyzer = AnalyzerEngine( analyzer = AnalyzerEngine(
nlp_engine=provider.create_engine(), nlp_engine=provider.create_engine(),
@@ -74,8 +67,7 @@ try:
analyzer.set_allow_list(config.get("allow_list", [])) analyzer.set_allow_list(config.get("allow_list", []))
logger.info("--- Presidio Analyzer Service Ready ---") logger.info("--- Presidio Analyzer Service Ready ---")
logger.info(f"Final analyzer languages: {analyzer.supported_languages}") logger.info(f"SUCCESS: Final analyzer languages are: {analyzer.supported_languages}")
except Exception as e: except Exception as e:
logger.exception("FATAL: Error during AnalyzerEngine initialization.") logger.exception("FATAL: Error during AnalyzerEngine initialization.")