Create app.py

app.py

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+from flask import Flask, request, jsonify, make_response
+from presidio_analyzer import AnalyzerEngine
+import os
+import logging
+
+# Configuration du logging pour un meilleur débogage
+logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
+logger = logging.getLogger(__name__)
+
+# Initialisation de l'application Flask
+app = Flask(__name__)
+
+# Initialisation du moteur Presidio Analyzer
+analyzer = None
+try:
+    logger.info("Initializing AnalyzerEngine...")
+    # L'AnalyzerEngine va chercher la configuration via la variable d'environnement
+    analyzer = AnalyzerEngine()
+    logger.info("AnalyzerEngine initialized successfully.")
+    # Affiche les recognizers chargés pour confirmer que la config est bien lue
+    loaded_recognizers = [r.name for r in analyzer.registry.get_recognizers()]
+    logger.info(f"Loaded recognizers: {loaded_recognizers}")
+except Exception as e:
+    logger.exception("FATAL: Error initializing AnalyzerEngine.")
+
+@app.route('/analyze', methods=['POST'])
+def analyze_text():
+    if not analyzer:
+        return jsonify({"error": "Analyzer engine not initialized"}), 500
+    
+    try:
+        data = request.get_json(force=True)
+        text_to_analyze = data.get("text", "")
+        language = data.get("language", "en")
+
+        if not text_to_analyze:
+             return jsonify({"error": "text field is missing or empty"}), 400
+        
+        results = analyzer.analyze(text=text_to_analyze, language=language)
+        response_data = [res.to_dict() for res in results]
+        
+        return make_response(jsonify(response_data), 200)
+    except Exception as e:
+        logger.exception("Error during analysis.")
+        return jsonify({"error": str(e)}), 500
+
+if __name__ == '__main__':
+    # Pour un test local sans gunicorn
+    app.run(host='0.0.0.0', port=5001)