Rename app.py to app2.py

app.py → app2.py

@@ -24,8 +24,15 @@ def get_model_prediction(title, keywords, subheadings):
         'keywords': keywords,
         'subheadings': subheadings
     }
-    response = requests.post(MODEL_API_URL, headers=headers, json=payload)
-    return response.json()
+    try:
+        response = requests.post(MODEL_API_URL, headers=headers, json=payload)
+        response.raise_for_status()  # HTTP hatalarını yakalar
+        result = response.json()
+        return result
+    except requests.exceptions.HTTPError as http_err:
+        return {'error': f'HTTP error occurred: {http_err}'}
+    except Exception as err:
+        return {'error': f'Other error occurred: {err}'}
 
 @app.route('/predict', methods=['POST'])
 def predict():
@@ -34,15 +41,22 @@ def predict():
     keywords = data.get('keywords')
     subheadings = data.get('subheadings')
     
+    # Giriş verilerini doğrulama
+    if not title or not keywords or not subheadings:
+        return jsonify({'error': 'Title, keywords, and subheadings are required'}), 400
+
     # MongoDB'den ilgili verileri çekme
     query = {
         'title': title,
         'keywords': {'$in': keywords.split(',')},
         'subheadings': {'$in': subheadings.split(',')}
     }
-    documents = list(collection.find(query))
-    
-    
+    try:
+        documents = list(collection.find(query))
+    except Exception as e:
+        return jsonify({'error': f'Error querying MongoDB: {e}'}), 500
+
+    # Model API'den tahmin alma
     predictions = []
     for doc in documents:
         result = get_model_prediction(doc['title'], doc['keywords'], doc['subheadings'])
@@ -60,4 +74,3 @@ def predict():
 
 if __name__ == "__main__":
     app.run(host='0.0.0.0', port=8080)
-