Update app.py

app.py

@@ -34,13 +34,15 @@ def get_dataset():
     _query = "SELECT id , ds ,a_temp ,m_temp ,n_temp ,y ,a_pres ,m_pres ,a_ws ,m_ws ,a_humi ,m_humi ,n_humi ,a_vis flat,m_vis ,n_vis  FROM weather_new"
     _cursor.execute(_query)
     _data = cursor.fetchall()
+    _cursor.close()
+    _conn.close()
     _df = pd.DataFrame(_data,columns=['id','ds','a_temp','m_temp','n_temp','y','a_pres','m_pres','a_ws','m_ws','a_humi','m_humi','n_humi' ,'a_vis','m_vis' ,'n_vis']).drop('id',axis=1)
     return _df
     
 
 places = get_data()
 places.replace({'indoor ': 'indoor', 'outdoor ': 'outdoor'}, inplace=True)
-places = places[(places['province'] == province) & (places['a_type'] == activity) & (places['genre'] == purpose.lower())]
+
 province_mapping = {
     'Bangkok': 'กรุงเทพฯ',
     'Nakohn Pathom': 'นครปฐม',
@@ -74,7 +76,7 @@ def get_advice(province, activity, purpose, year, month, date):
     activity = 'indoor' if is_rain else activity.lower()
 
     province = province_mapping[province]
-    
+    places = places[(places['province'] == province) & (places['a_type'] == activity) & (places['genre'] == purpose.lower())]
     
     
     random_idx = np.random.randint(0, len(places))