From 070bdaf5a954b4e9e506af397861c1a76cb531c7 Mon Sep 17 00:00:00 2001
From: Nacim <nacim@biqoz.com>
Date: Mon, 23 Jun 2025 13:27:46 +0200
Subject: [PATCH] Create app.py

---
 app.py | 49 +++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 49 insertions(+)
 create mode 100644 app.py

diff --git a/app.py b/app.py
new file mode 100644
index 0000000..1181e16
--- /dev/null
+++ b/app.py
@@ -0,0 +1,49 @@
+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)