Update app.py

app.py

@@ -23,7 +23,24 @@ def get_data():
     _conn.close()
     _df = pd.DataFrame(_data,columns=['name','province','a_type','genre','close','hour','link'])
     return _df
+def get_dataset():
+    _conn = connector.connect(
+        host='110.238.111.32',
+        user = 'outsider',
+        password='Hack2024',
+        database = 'TheSimp'
+    )
+    _cursor = _conn.cursor()
+    _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()
+    _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',
@@ -33,8 +50,17 @@ province_mapping = {
     'Samut Songkhram': 'สมุทรสงคราม'
 }
 
-with open('prophet_model.json', 'r') as fin:
-    prophet_model = model_from_json(json.load(fin))
+
+#with open('prophet_model.json', 'r') as fin:
+#    prophet_model = model_from_json(json.load(fin))
+
+params = {  
+    'changepoint_prior_scale': 0.1,
+    'seasonality_prior_scale': 0.1,
+    'interval_width' : 0.2,
+}
+model = Prophet(**params)
+model.fit(get_dataset())
 
 def will_rain(year, month, date):
     _date = pd.to_datetime(f'{year}-{month}-{date}')
@@ -46,12 +72,10 @@ def will_rain(year, month, date):
 def get_advice(province, activity, purpose, year, month, date):
     is_rain = will_rain(year, month, date)
     activity = 'indoor' if is_rain else activity.lower()
-    
+
     province = province_mapping[province]
     
-    places = get_data()
-    places.replace({'indoor ': 'indoor', 'outdoor ': 'outdoor'}, inplace=True)
-    places = places[(places['province'] == province) & (places['a_type'] == activity) & (places['genre'] == purpose.lower())]
+    
     
     random_idx = np.random.randint(0, len(places))
     place_name = places.iloc[random_idx]['name']