bug fixes

api_caller.py

@@ -422,8 +422,20 @@ def updateLeagueTables(api_key, league_ids):
             r = requests.get(url)
             try:
                 all_data = r.json()
-            except: # there is no data available 
+            except Exception as e: # there is no data available 
+                exc_type, exc_obj, exc_tb = sys.exc_info()
+                fname = os.path.split(exc_tb.tb_frame.f_code.co_filename)[1]
+                logf.write(str(e))
+                logf.write('. file: ' + fname)
+                logf.write('. line: ' +  str(exc_tb.tb_lineno))
+                logf.write('. type: ' +  str(exc_type))
+                logf.write('\n ' + "".join(traceback.format_exception(sys.exc_info()[0], sys.exc_info()[1], sys.exc_info()[2])))
+                logf.write(url)
                 continue
+                
+                
+                
+                
             teams = []
             
             
@@ -479,8 +491,17 @@ def updateLeagueEvents(api_key, league_ids, time):
             r = requests.get(url)
             try:
                 all_data = r.json()
-            except: # there is no data available 
+            except Exception as e: # there is no data available 
+                exc_type, exc_obj, exc_tb = sys.exc_info()
+                fname = os.path.split(exc_tb.tb_frame.f_code.co_filename)[1]
+                logf.write(str(e))
+                logf.write('. file: ' + fname)
+                logf.write('. line: ' +  str(exc_tb.tb_lineno))
+                logf.write('. type: ' +  str(exc_type))
+                logf.write('\n ' + "".join(traceback.format_exception(sys.exc_info()[0], sys.exc_info()[1], sys.exc_info()[2])))
+                logf.write(url)
                 continue
+                
             
             
             events = []
@@ -634,7 +655,7 @@ if __name__ == '__main__':
             #stocks
             stock_time = datetime.strptime(last_updates['stocks'], "%d/%m/%Y %H:%M:%S")
             stock_frequency = update_frequencies['stocks']
-            if checkStocks(stock_time, stock_frequency):
+            if checkStocks(stock_time, stock_frequency) or msg == 's':
                 stock_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
                 last_updates['stocks'] = stock_time
                 
@@ -644,7 +665,7 @@ if __name__ == '__main__':
             
             NY_time = datetime.now(NY_zone).replace(tzinfo=None)
             diff = (NY_time - crypto_time).total_seconds()/60 #minutes
-            if diff >= update_frequencies['crypto']:
+            if diff >= update_frequencies['crypto'] or msg == 'c':
                 crypto_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
                 updateCrypto()
                 last_updates['crypto'] = crypto_time
@@ -656,7 +677,7 @@ if __name__ == '__main__':
             
             NY_time = datetime.now(NY_zone).replace(tzinfo=None)
             diff = (NY_time - weather_time).total_seconds()/60 #minutes
-            if diff >= update_frequencies['weather']:
+            if diff >= update_frequencies['weather'] or msg == 'w':
                 weather_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
                 updateWeather()
                 last_updates['weather'] = weather_time
@@ -668,7 +689,7 @@ if __name__ == '__main__':
             
             NY_time = datetime.now(NY_zone).replace(tzinfo=None)
             diff = (NY_time - news_time).total_seconds()/60 #minutes
-            if diff >= update_frequencies['news']:
+            if diff >= update_frequencies['news'] or msg == 'n':
                 news_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
                 updateNews()
                 last_updates['news'] = news_time
@@ -679,7 +700,7 @@ if __name__ == '__main__':
             
             NY_time = datetime.now(NY_zone).replace(tzinfo=None)
             diff = (NY_time - sports_time).total_seconds()/60 #minutes
-            if diff >= update_frequencies['sports']:
+            if diff >= update_frequencies['sports'] or msg == 'S':
                 sports_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
                 updateSports()
                 last_updates['sports'] = sports_time
@@ -691,7 +712,7 @@ if __name__ == '__main__':
             CET_time = datetime.now(CET_zone)
             yday_update = (CET_time.replace(hour=17, minute=00, second=0, microsecond=0) - dt.timedelta(days=1)).replace(tzinfo=None)
         
-            if forex_time < yday_update:
+            if forex_time < yday_update or msg == 'f':
                 forex_time = CET_time.strftime("%d/%m/%Y %H:%M:%S")
                 last_updates['forex'] = forex_time  
                 updateForex()

csv/crypto_settings.json

@@ -1 +1 @@
-{"feature": "Stocks", "speed": "medium", "animation": "down", "percent": true, "point": true, "logos": true, "chart": false, "title": true, "symbols": {"NEO,USD": {"current": 41.53, "24hr_change": 3.0530667588098535}, "BTC,USD": {"current": 61214, "24hr_change": 3.5007811771288146}, "ETH,BTC": {"current": 0.0688888, "24hr_change": 4.981732790736668}, "ADA,GBP": {"current": 1.46, "24hr_change": 1.6355039771734323}}}
+{"feature": "Stocks", "speed": "medium", "animation": "down", "percent": false, "point": false, "logos": true, "chart": false, "title": true, "symbols": {"NEO,USD": {"current": 43.45, "24hr_change": -8.868602959790408}, "BTC,USD": {"current": 60427, "24hr_change": -5.50343462209234}, "ETH,BTC": {"current": 0.07072443, "24hr_change": -7.189558281316787}, "ADA,GBP": {"current": 1.41, "24hr_change": -6.194047327868864}}}

csv/current_weather.json

@@ -1 +1 @@
-{"feature": "Current Weather", "speed": "medium", "animation": "continuous", "temp": "celsius", "wind_speed": "miles/sec", "colour": "white", "city_colour": "yellow", "title": true, "locations": {"Beijing": {"main_weather": "Clouds", "description": "overcast clouds", "temp": 10.43, "min_temp": 10.43, "max_temp": 18.87, "feels_like": 9.33, "humidity": 69, "clouds": 95, "wind_speed": 1.17, "wind_direction": 39, "visibility": 10000, "uv": 0, "rain_chance": 0}, "Tokyo": {"main_weather": "Clouds", "description": "few clouds", "temp": 13.65, "min_temp": 13.65, "max_temp": 19.19, "feels_like": 12.4, "humidity": 51, "clouds": 20, "wind_speed": 2.24, "wind_direction": 15, "visibility": 10000, "uv": 0, "rain_chance": 0}, "London": {"main_weather": "Clouds", "description": "overcast clouds", "temp": 13.16, "min_temp": 12.37, "max_temp": 15.93, "feels_like": 12.72, "humidity": 84, "clouds": 100, "wind_speed": 4.12, "wind_direction": 160, "visibility": 10000, "uv": 0, "rain_chance": 0}, "Moscow": {"main_weather": "Clouds", "description": "overcast clouds", "temp": 7.03, "min_temp": 4.95, "max_temp": 9.93, "feels_like": 4.45, "humidity": 80, "clouds": 100, "wind_speed": 3.81, "wind_direction": 353, "visibility": 10000, "uv": 0, "rain_chance": 0}}, "current_weather": true}
+{"feature": "Current Weather", "speed": "medium", "animation": "down", "temp": "celsius", "wind_speed": "miles/sec", "colour": "white", "city_colour": "yellow", "title": true, "locations": {"Beijing": {"main_weather": "Clear", "description": "clear sky", "temp": 0.94, "min_temp": 0.94, "max_temp": 13.85, "feels_like": 0.94, "humidity": 72, "clouds": 0, "wind_speed": 0.6, "wind_direction": 307, "visibility": 10000, "uv": 0, "rain_chance": 0}, "London": {"main_weather": "Clouds", "description": "few clouds", "temp": 9.54, "min_temp": 7.43, "max_temp": 11.11, "feels_like": 8.23, "humidity": 88, "clouds": 20, "wind_speed": 2.57, "wind_direction": 230, "visibility": 10000, "uv": 0, "rain_chance": 0}, "Tokyo": {"main_weather": "Clouds", "description": "broken clouds", "temp": 12.24, "min_temp": 12.24, "max_temp": 15.91, "feels_like": 11.09, "humidity": 60, "clouds": 75, "wind_speed": 0.89, "wind_direction": 33, "visibility": 10000, "uv": 0, "rain_chance": 0.02}, "Moscow": {"main_weather": "Clear", "description": "clear sky", "temp": -2.25, "min_temp": -2.57, "max_temp": 0.29, "feels_like": -7.63, "humidity": 80, "clouds": 0, "wind_speed": 4.84, "wind_direction": 273, "visibility": 10000, "uv": 0, "rain_chance": 0}}, "current_weather": true}

csv/daily_weather.json

@@ -1 +1 @@
-{"feature": "Current Weather", "speed": "medium", "animation": "continuous", "temp": "celsius", "wind_speed": "miles/sec", "colour": "white", "city_colour": "yellow", "title": true, "locations": {"Beijing": [{"main_weather": "Clear", "description": "clear sky", "min_temp": 10.43, "max_temp": 18.87}, {"main_weather": "Clear", "description": "clear sky", "min_temp": 11.79, "max_temp": 20.3}, {"main_weather": "Clear", "description": "clear sky", "min_temp": 11.75, "max_temp": 17.06}, {"main_weather": "Clear", "description": "clear sky", "min_temp": 9.83, "max_temp": 15.21}, {"main_weather": "Clouds", "description": "broken clouds", "min_temp": 10.02, "max_temp": 16.08}, {"main_weather": "Clear", "description": "clear sky", "min_temp": 10.22, "max_temp": 17.99}, {"main_weather": "Clear", "description": "clear sky", "min_temp": 11.18, "max_temp": 19.34}, {"main_weather": "Clouds", "description": "overcast clouds", "min_temp": 12.1, "max_temp": 15.76}], "Tokyo": [{"main_weather": "Clouds", "description": "scattered clouds", "min_temp": 13.65, "max_temp": 19.19}, {"main_weather": "Clear", "description": "clear sky", "min_temp": 13.79, "max_temp": 18.73}, {"main_weather": "Clouds", "description": "overcast clouds", "min_temp": 16.17, "max_temp": 20.03}, {"main_weather": "Rain", "description": "light rain", "min_temp": 16.41, "max_temp": 20.18}, {"main_weather": "Rain", "description": "moderate rain", "min_temp": 16.73, "max_temp": 19.89}, {"main_weather": "Rain", "description": "light rain", "min_temp": 15.76, "max_temp": 20.23}, {"main_weather": "Rain", "description": "light rain", "min_temp": 15.45, "max_temp": 17.57}, {"main_weather": "Clear", "description": "clear sky", "min_temp": 14.26, "max_temp": 20.42}], "London": [{"main_weather": "Clouds", "description": "few clouds", "min_temp": 12.37, "max_temp": 15.93}, {"main_weather": "Rain", "description": "light rain", "min_temp": 11.81, "max_temp": 14.55}, {"main_weather": "Rain", "description": "moderate rain", "min_temp": 10.27, "max_temp": 13.92}, {"main_weather": "Rain", "description": "moderate rain", "min_temp": 8.95, "max_temp": 13.13}, {"main_weather": "Clouds", "description": "scattered clouds", "min_temp": 7.76, "max_temp": 11.97}, {"main_weather": "Rain", "description": "light rain", "min_temp": 7.48, "max_temp": 11.03}, {"main_weather": "Clouds", "description": "scattered clouds", "min_temp": 5.69, "max_temp": 10.83}, {"main_weather": "Clouds", "description": "scattered clouds", "min_temp": 5.58, "max_temp": 10.35}], "Moscow": [{"main_weather": "Rain", "description": "light rain", "min_temp": 4.95, "max_temp": 9.93}, {"main_weather": "Clouds", "description": "overcast clouds", "min_temp": 5.4, "max_temp": 8.06}, {"main_weather": "Clouds", "description": "scattered clouds", "min_temp": 7.55, "max_temp": 12.8}, {"main_weather": "Clouds", "description": "few clouds", "min_temp": 6.22, "max_temp": 11.06}, {"main_weather": "Clear", "description": "clear sky", "min_temp": 5.43, "max_temp": 10.23}, {"main_weather": "Clear", "description": "clear sky", "min_temp": 4.38, "max_temp": 9.17}, {"main_weather": "Clear", "description": "clear sky", "min_temp": 3.2, "max_temp": 8.07}, {"main_weather": "Rain", "description": "light rain", "min_temp": 6.67, "max_temp": 8.85}]}, "current_weather": true}
+{"feature": "Current Weather", "speed": "medium", "animation": "continuous", "temp": "celsius", "wind_speed": "miles/sec", "colour": "white", "city_colour": "yellow", "title": true, "locations": {"Beijing": [{"main_weather": "Clouds", "description": "scattered clouds", "min_temp": 0.94, "max_temp": 13.85}, {"main_weather": "Clouds", "description": "scattered clouds", "min_temp": 6.16, "max_temp": 13.29}, {"main_weather": "Clear", "description": "clear sky", "min_temp": 5.69, "max_temp": 9.87}, {"main_weather": "Clouds", "description": "broken clouds", "min_temp": 5.62, "max_temp": 9.94}, {"main_weather": "Clouds", "description": "broken clouds", "min_temp": 2.8, "max_temp": 9.15}, {"main_weather": "Clear", "description": "clear sky", "min_temp": -0.28, "max_temp": 3.8}, {"main_weather": "Clear", "description": "clear sky", "min_temp": -1.2, "max_temp": 3.28}, {"main_weather": "Clear", "description": "clear sky", "min_temp": -0.49, "max_temp": 5.87}], "London": [{"main_weather": "Clear", "description": "clear sky", "min_temp": 7.43, "max_temp": 11.11}, {"main_weather": "Clouds", "description": "overcast clouds", "min_temp": 7.51, "max_temp": 11}, {"main_weather": "Clouds", "description": "broken clouds", "min_temp": 7.05, "max_temp": 12.71}, {"main_weather": "Clouds", "description": "scattered clouds", "min_temp": 8.97, "max_temp": 12.83}, {"main_weather": "Clouds", "description": "few clouds", "min_temp": 8.1, "max_temp": 12.31}, {"main_weather": "Rain", "description": "light rain", "min_temp": 6.12, "max_temp": 10.84}, {"main_weather": "Rain", "description": "light rain", "min_temp": 4.61, "max_temp": 9.35}, {"main_weather": "Clouds", "description": "scattered clouds", "min_temp": 5.3, "max_temp": 8.62}], "Tokyo": [{"main_weather": "Clouds", "description": "overcast clouds", "min_temp": 12.24, "max_temp": 15.91}, {"main_weather": "Rain", "description": "light rain", "min_temp": 13.48, "max_temp": 14.39}, {"main_weather": "Clear", "description": "clear sky", "min_temp": 12.63, "max_temp": 17.46}, {"main_weather": "Clouds", "description": "scattered clouds", "min_temp": 12.47, "max_temp": 16.3}, {"main_weather": "Rain", "description": "light rain", "min_temp": 13.08, "max_temp": 14.47}, {"main_weather": "Rain", "description": "moderate rain", "min_temp": 11.16, "max_temp": 15.37}, {"main_weather": "Rain", "description": "moderate rain", "min_temp": 12.42, "max_temp": 14.94}, {"main_weather": "Clear", "description": "clear sky", "min_temp": 10.5, "max_temp": 14.7}], "Moscow": [{"main_weather": "Clouds", "description": "few clouds", "min_temp": -2.57, "max_temp": 0.29}, {"main_weather": "Clouds", "description": "overcast clouds", "min_temp": -1.92, "max_temp": 0.29}, {"main_weather": "Snow", "description": "light snow", "min_temp": -1.86, "max_temp": 0.44}, {"main_weather": "Snow", "description": "light snow", "min_temp": -1.68, "max_temp": 0.94}, {"main_weather": "Snow", "description": "rain and snow", "min_temp": -0.34, "max_temp": 3.57}, {"main_weather": "Snow", "description": "light snow", "min_temp": -0.52, "max_temp": 1.01}, {"main_weather": "Snow", "description": "light snow", "min_temp": -5.53, "max_temp": 0.3}, {"main_weather": "Snow", "description": "light snow", "min_temp": -5.31, "max_temp": -2.03}]}, "current_weather": true}

csv/display_settings.json

@@ -1 +1 @@
-["Forex"]
+["Current Weather"]

csv/forex_settings.json

@@ -1 +1 @@
-{"feature": "Stocks", "speed": "medium", "animation": "down", "percent": false, "point": true, "logos": false, "chart": false, "title": true, "symbols": {"NZD,GBP": {"current": 1.9136, "24hr_change": -0.0041999999999999815}, "CAD,USD": {"current": 1.2357, "24hr_change": -0.005099999999999882}}}
+{"feature": "Stocks", "speed": "medium", "animation": "down", "percent": false, "point": false, "logos": false, "chart": false, "title": true, "symbols": {"NZD,GBP": {"current": 1.9148, "24hr_change": 0.015700000000000047}, "CAD,USD": {"current": 1.2533, "24hr_change": 0.0008000000000001339}}}

csv/last_updates.json

@@ -1 +1 @@
-{"stocks": "28/10/2021 14:43:29", "crypto": "28/10/2021 14:36:22", "news": "28/10/2021 14:36:24", "weather": "28/10/2021 14:36:22", "forex": "28/10/2021 20:36:26", "sports": "28/10/2021 14:36:24"}
+{"stocks": "16/11/2021 14:09:37", "crypto": "16/11/2021 14:07:15", "news": "16/11/2021 13:47:18", "weather": "16/11/2021 14:07:00", "forex": "16/11/2021 19:47:20", "sports": "16/11/2021 13:59:46"}

csv/stocks_settings.json

@@ -1 +1 @@
-{"feature": "Stocks", "speed": "medium", "animation": "down", "percent": true, "point": true, "logos": false, "chart": false, "title": true, "symbols": {"MSFT": {"current": 323.7, "opening": 324.325}, "GOOG": {"current": 2923.335, "opening": 2947.07}}}
+{"feature": "Stocks", "speed": "medium", "animation": "down", "percent": true, "point": true, "logos": false, "chart": false, "title": true, "symbols": {"MSFT": {"current": 340.32, "opening": 335.665}, "GOOG": {"current": 2987.62, "opening": 2983.36}}}

server.py

@@ -407,7 +407,7 @@ def combine_dict(current_settings, input_symbols, current_key):
     # add any stock that arent current in the settings
     for IS in input_symbols:
         if IS not in current_symbols:
-            current_settings[current_key][IS] = -1
+            current_settings[current_key][IS] = []
           
     # remove stocks not in settings
     for CS in current_symbols:
@@ -436,6 +436,13 @@ def save_trade_settings(input_settings):
     
     json.dump(current_settings, open('csv/' + filename, 'w+'))
     
+    if input_settings['feature'].lower() == 'stocks':
+        api_caller.sendline('s')
+    elif input_settings['feature'].lower() == 'crypto':
+        api_caller.sendline('c')
+    elif input_settings['feature'].lower() == 'forex':
+        api_caller.sendline('f')
+    
 def save_weather_settings(input_settings):
    
    
@@ -459,6 +466,8 @@ def save_weather_settings(input_settings):
             
     json.dump(current_settings, open('csv/' + filename, 'w+'))
     
+    api_caller.sendline('w')
+    
 def save_news_settings(input_settings):
     filename = 'news_settings.json' 
     
@@ -474,6 +483,7 @@ def save_news_settings(input_settings):
     current_settings['sources'] = list(set(current_settings['sources'] + input_settings['sources']))
     
     json.dump(current_settings, open('csv/' + filename, 'w+'))
+    api_caller.sendline('n')
     
 def save_sports_settings(input_settings):
     
@@ -499,6 +509,8 @@ def save_sports_settings(input_settings):
     
     json.dump(current_settings, open('csv/' + filename, 'w+'))
     
+    api_caller.sendline('S')
+    
 # for images and GIFs
 def save_image_settings(input_settings):
     filename = 'image_settings.json' if input_settings['feature'] == 'Custom Images' else 'GIF_settings.json' 

stockTicker.py

@@ -807,7 +807,10 @@ class StockTicker():
     #Draw Ticker, current and change onto one image
     def textToImage(self, TICKER, CURRENT, ARROW, percent_change = False, point_change = False, font = ImageFont.load("./fonts/10x20.pil")):
        
-        text_width_current, text_height = self.get_text_dimensions(CURRENT, font)
+        w1, text_height = self.get_text_dimensions(CURRENT, font)
+        w2, text_height = self.get_text_dimensions(TICKER, font)
+        
+        text_width_current = max(w1,w2)
         
         img = Image.new('RGB', (text_width_current  +100 , 32))
         d = ImageDraw.Draw(img)
@@ -817,19 +820,26 @@ class StockTicker():
 
         
 
-        img.paste(ARROW, ((text_width_current + 9),18))
+        
         if point_change:
             d.text(((text_width_current+29), 16), point_change, fill=self.greenORred, font=font)
             
         if percent_change:
             d.text(((text_width_current+29), 14 - text_height), percent_change, fill=self.greenORred, font=font)
-
+            
+        if point_change or percent_change:
+            img.paste(ARROW, ((text_width_current + 9),18))
+        
+        
+        text_width_change=0
         if percent_change:
-            text_width_change, text_height = self.get_text_dimensions(percent_change, font)
+            width, text_height = self.get_text_dimensions(percent_change, font)
+            text_width_change = max(width, text_width_change)
         elif point_change:
-            text_width_change, text_height = self.get_text_dimensions(point_change, font)
+            width, text_height = self.get_text_dimensions(point_change, font)
-        else:
+            text_width_change = max(width, text_width_change)
-            text_width_change=0
+       
+            
 
         newWidth = text_width_current + text_width_change +30
 
@@ -1032,7 +1042,10 @@ class StockTicker():
            
             point_change = '%.2f' % abs(change/100 * current)
        
-            
+            if not all_forex_settings['percent']:
+                percent_change = False
+            if not all_forex_settings['point']:
+                point_change = False
             
             arrow, change = self.getArrow(change)
             

templates/index.html

@@ -1463,7 +1463,7 @@
                     <select id="inputTransition73" class="form-select">
                       <option>NFL</option>
                       <option>NBA</option>
-                      <option>NHA</option>
+                      <option>NHL</option>
                       <option>Premier League</option>
                     </select>
                   </div>
@@ -1589,7 +1589,7 @@
                     <select id="inputTransition83" class="form-select">
                       <option>NFL</option>
                       <option>NBA</option>
-                      <option>NHA</option>
+                      <option>NHL</option>
                       <option>Premier League</option>
                     </select>
                   </div>
@@ -1715,7 +1715,7 @@
                     <select id="inputTransition93" class="form-select">
                       <option>NFL</option>
                       <option>NBA</option>
-                      <option>NHA</option>
+                      <option>NHL</option>
                       <option>Premier League</option>
                     </select>
                   </div>
@@ -1840,7 +1840,7 @@
                     <select id="inputTransition103" class="form-select">
                       <option>NFL</option>
                       <option>NBA</option>
-                      <option>NHA</option>
+                      <option>NHL</option>
                       <option>Premier League</option>
                     </select>
                   </div>