57 lines
2.2 KiB
Python
57 lines
2.2 KiB
Python
import os
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import logging
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from flask import Flask, request, jsonify, make_response
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from presidio_analyzer import AnalyzerEngine
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# Configuration du logging
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logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
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logger = logging.getLogger(__name__)
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# Initialisation de l'application Flask
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app = Flask(__name__)
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# --- LAISSER PRESIDIO GÉRER L'INITIALISATION ---
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# L'AnalyzerEngine, lorsqu'il est initialisé sans arguments, va automatiquement :
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# 1. Chercher la variable d'environnement PRESIDIO_ANALYZER_CONFIG_FILE.
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# 2. Lire le fichier de configuration (votre default.yaml).
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# 3. Créer le moteur NLP, le registre de recognizers, et charger les recognizers
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# personnalisés et l'allow_list, en s'assurant que les langues sont cohérentes.
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try:
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logger.info("Initializing AnalyzerEngine using configuration from environment variable...")
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analyzer = AnalyzerEngine()
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logger.info("AnalyzerEngine initialized successfully.")
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# Pour le débogage, on peut lister les recognizers pour une langue spécifique
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logger.info(f"Loaded recognizers for 'fr': {[rec.name for rec in analyzer.get_recognizers(language='fr')]}")
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except Exception as e:
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logger.exception("FATAL: Error initializing AnalyzerEngine from configuration.")
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analyzer = None
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@app.route('/analyze', methods=['POST'])
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def analyze_text():
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if not analyzer:
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return jsonify({"error": "Analyzer engine not initialized"}), 500
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try:
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data = request.get_json(force=True)
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text_to_analyze = data.get("text", "")
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language = data.get("language", "en")
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if not text_to_analyze:
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return jsonify({"error": "text field is missing or empty"}), 400
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# On n'a plus besoin de passer l'allow_list ici, l'Analyzer l'a déjà chargée
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results = analyzer.analyze(
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text=text_to_analyze,
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language=language
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)
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response_data = [res.to_dict() for res in results]
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return make_response(jsonify(response_data), 200)
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except Exception as e:
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logger.exception("Error during analysis.")
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return jsonify({"error": str(e)}), 500
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if __name__ == '__main__':
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app.run(host='0.0.0.0', port=5001)
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