catch exceptions from scrapper

application/functions/sentiment.py

@@ -14,6 +14,7 @@ def sentiment_prediction(data):
 
 def clear_data(data):
     data = [re.sub(r"[^A-Za-zżźćńółęąśŻŹĆĄŚĘŁÓŃ ']+", r"", i) for i in data['sentences']]
+    data = [x for x in data if x != '']
     data = [i.strip() for i in data]
     data = [i.lower() for i in data]
     return data
@@ -46,5 +47,5 @@ def scrapp_comments(url):
         for comment in post['comments_full']:
             comments.append(comment['comment_text'])
     all['post'] = text_post
-    all['comments'] = comments
+    all['sentences'] = comments
     return all

application/services/sentiment_service.py

@@ -10,7 +10,8 @@ sentiment_service = Blueprint("sentiment_service", __name__)
 @sentiment_service.route("/get_sentiment_data", methods=['POST'])
 def get_data():
     data = request.get_json()
-    data_clear = clear_data(data)                       #czyszczenie danych wejsciowych
+    data_clear = clear_data(data)
+    print(data_clear)                       #czyszczenie danych wejsciowych
     predicitons = sentiment_prediction(data_clear)      #predykcje
     count_labels = count_predictions(predicitons)       #dane do wykresu
 
@@ -23,6 +24,10 @@ def get_data():
 
 @sentiment_service.route("/scrapp_comments", methods=['POST'])
 def scrapp():
-    url = request.get_json()
-    result = scrapp_comments(url['link'])
-    return result
+    try:
+        url = request.get_json()
+        result = scrapp_comments(url['link'])
+        result['status'] =  True
+        return result
+    except:
+        return jsonify({'status':False})