55 lines
1.9 KiB
Python
55 lines
1.9 KiB
Python
from flask import Flask, request, jsonify, make_response
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from presidio_analyzer import AnalyzerEngine
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import os
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import logging
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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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# Initialisation du moteur Presidio Analyzer
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analyzer = None
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try:
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logger.info("Initializing AnalyzerEngine...")
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analyzer = AnalyzerEngine()
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logger.info("AnalyzerEngine initialized successfully.")
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# --- CORRECTION ICI ---
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# La ligne de débogage est corrigée ou commentée.
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# On va la commenter pour l'instant car elle n'est pas essentielle au fonctionnement.
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# loaded_recognizers = [r.name for r in analyzer.registry.get_recognizers(language="fr")]
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# logger.info(f"Loaded recognizers for 'fr': {loaded_recognizers}")
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except Exception as e:
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# La ligne 'analyzer = None' était déjà là, mais on s'assure qu'elle est bien là.
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analyzer = None
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logger.exception("FATAL: Error initializing AnalyzerEngine.")
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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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results = analyzer.analyze(text=text_to_analyze, language=language)
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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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