nacim/Presidio
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Update app.py

Browse Source
This commit is contained in:
Nacim
2025-06-23 15:29:42 +02:00
committed by GitHub
parent 48408a09f2
commit 8319667b27
1 changed files with 10 additions and 7 deletions
Download Patch File Download Diff File Expand all files Collapse all files

17
app.py
View File

@@ -1,6 +1,9 @@
import os import os
import logging import logging
import yaml
from flask import Flask, request, jsonify, make_response from flask import Flask, request, jsonify, make_response
# Import des classes nécessaires de Presidio
from presidio_analyzer import AnalyzerEngine from presidio_analyzer import AnalyzerEngine
# Configuration du logging # Configuration du logging
@@ -14,23 +17,22 @@ app = Flask(__name__)
# L'AnalyzerEngine, lorsqu'il est initialisé sans arguments, va automatiquement : # L'AnalyzerEngine, lorsqu'il est initialisé sans arguments, va automatiquement :
# 1. Chercher la variable d'environnement PRESIDIO_ANALYZER_CONFIG_FILE. # 1. Chercher la variable d'environnement PRESIDIO_ANALYZER_CONFIG_FILE.
# 2. Lire le fichier de configuration (votre default.yaml). # 2. Lire le fichier de configuration (votre default.yaml).
# 3. Créer le moteur NLP, le registre de recognizers, et charger les recognizers # 3. Créer et configurer tous les composants (moteur NLP, recognizers, etc.).
# personnalisés et l'allow_list, en s'assurant que les langues sont cohérentes.
analyzer = None
try: try:
logger.info("Initializing AnalyzerEngine using configuration from environment variable...") logger.info("Initializing AnalyzerEngine using configuration from environment variable...")
analyzer = AnalyzerEngine() analyzer = AnalyzerEngine()
logger.info("AnalyzerEngine initialized successfully.") logger.info("AnalyzerEngine initialized successfully.")
# Pour le débogage, on peut lister les recognizers pour une langue spécifique
logger.info(f"Loaded recognizers for 'fr': {[rec.name for rec in analyzer.get_recognizers(language='fr')]}")
except Exception as e: except Exception as e:
logger.exception("FATAL: Error initializing AnalyzerEngine from configuration.") logger.exception("FATAL: Error initializing AnalyzerEngine from configuration.")
# On s'assure que l'analyzer est None pour que les requêtes échouent proprement
analyzer = None analyzer = None
@app.route('/analyze', methods=['POST']) @app.route('/analyze', methods=['POST'])
def analyze_text(): def analyze_text():
if not analyzer: if not analyzer:
return jsonify({"error": "Analyzer engine not initialized"}), 500 return jsonify({"error": "Analyzer engine not initialized. Check startup logs."}), 500
try: try:
data = request.get_json(force=True) data = request.get_json(force=True)
@@ -40,7 +42,7 @@ def analyze_text():
if not text_to_analyze: if not text_to_analyze:
return jsonify({"error": "text field is missing or empty"}), 400 return jsonify({"error": "text field is missing or empty"}), 400
# On n'a plus besoin de passer l'allow_list ici, l'Analyzer l'a déjà chargée # L'allow list est chargée par l'AnalyzerEngine depuis le default.yaml
results = analyzer.analyze( results = analyzer.analyze(
text=text_to_analyze, text=text_to_analyze,
language=language language=language
@@ -49,8 +51,9 @@ def analyze_text():
response_data = [res.to_dict() for res in results] response_data = [res.to_dict() for res in results]
return make_response(jsonify(response_data), 200) return make_response(jsonify(response_data), 200)
except Exception as e: except Exception as e:
logger.exception("Error during analysis.") logger.exception("Error during analysis request.")
return jsonify({"error": str(e)}), 500 return jsonify({"error": str(e)}), 500
if __name__ == '__main__': if __name__ == '__main__':
# Pour un test local sans gunicorn
app.run(host='0.0.0.0', port=5001) app.run(host='0.0.0.0', port=5001)