non prof image generation finished

api_caller.py

@@ -327,7 +327,7 @@ def updateWeather():
         all_daily_settings = json.load(f)
         f.close()
         
-        f = open('csv/daily_weather.json', 'r')
+        f = open('csv/current_weather.json', 'r')
         all_current_settings = json.load(f)
         f.close()
         
@@ -370,7 +370,7 @@ def updateWeather():
             current_weather['rain_chance'] =  r.json()['hourly'][0]['pop']
             
             
-            if location in current_locations:
+            
             current_weathers[location] = current_weather
             
             daily_weather = []
@@ -385,7 +385,7 @@ def updateWeather():
                 daily_weather.append(dct)
             
             
-            if location in daily_locations:
+            
             daily_weathers[location] = daily_weather
         
         
@@ -546,7 +546,11 @@ def checkStocks(last_update, update_frequency):
     closing = NY_time.replace(hour=16, minute=0, second=0, microsecond=0).replace(tzinfo=None)
     
     
-    symbols, stock_info = readJSON('csv/stocks_settings.json', max_stocks)
+    f = open('csv/stocks_settings.json', 'r')
+    all_stocks_settings = json.load(f)
+    f.close()
+    stock_info = all_stocks_settings['symbols']
+    symbols = list(stock_info.keys())
     
     updated = False
 
@@ -589,8 +593,7 @@ if __name__ == '__main__':
     
     
     newsapi = NewsApiClient(api_key='cf08652bd17647b89aaf469a1a8198a9')
-    updateNews()
-    sys.exit()
+    
 
     update_frequencies = {'stocks':2, 'crypto':10, 'news':120, 'weather': 120, 'sports': 120} #minutes
 
@@ -610,7 +613,8 @@ if __name__ == '__main__':
     #f.close()
   
    
-    
+    updateWeather()
+    sys.exit()
     try:
         f = open('csv/last_updates.json', 'r')
         last_updates = json.load(f)

csv/crypto_settings.json

@@ -1 +1 @@
-{"feature": "Stocks", "speed": "medium", "animation": "continuous", "percent": false, "point": true, "logos": true, "chart": false, "title": true, "symbols": {"NEO,USD": {"current": 38.91, "24hr_change": -10.214531272448745}, "BTC,USD": {"current": 42257, "24hr_change": -6.370431167988443}, "ETH,BTC": {"current": 0.06787408, "24hr_change": -7.725740924537157}, "ADA,GBP": {"current": 1.69, "24hr_change": -0.5989543849163771}}}
+{"feature": "Stocks", "speed": "medium", "animation": "continuous", "percent": false, "point": true, "logos": true, "chart": false, "title": true, "symbols": {"NEO,USD": {"current": 43.42, "24hr_change": -3.963839231643678}, "BTC,USD": {"current": 49343, "24hr_change": 0.902025932223419}, "ETH,BTC": {"current": 0.06930671, "24hr_change": -1.7367682270496585}, "ADA,GBP": {"current": 1.62, "24hr_change": -3.549646457710461}}}

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": {"Moscow": {"main_weather": "Rain", "description": "light rain", "temp": 9.49, "min_temp": 7.65, "max_temp": 10.51, "feels_like": 7.58, "humidity": 84, "clouds": 100, "wind_speed": 3.59, "wind_direction": 183, "visibility": 10000, "uv": 0.78, "rain_chance": 0.2}, "London": {"main_weather": "Clouds", "description": "overcast clouds", "temp": 16.83, "min_temp": 16.43, "max_temp": 21.14, "feels_like": 16.97, "humidity": 92, "clouds": 90, "wind_speed": 1.54, "wind_direction": 0, "visibility": 10000, "uv": 1.35, "rain_chance": 0}, "Beijing": {"main_weather": "Clouds", "description": "overcast clouds", "temp": 22.72, "min_temp": 18.1, "max_temp": 22.92, "feels_like": 22.69, "humidity": 63, "clouds": 99, "wind_speed": 2.06, "wind_direction": 185, "visibility": 10000, "uv": 0.28, "rain_chance": 0.06}, "Tokyo": {"main_weather": "Clouds", "description": "scattered clouds", "temp": 22, "min_temp": 21.23, "max_temp": 24.98, "feels_like": 22.16, "humidity": 73, "clouds": 40, "wind_speed": 1.34, "wind_direction": 52, "visibility": 10000, "uv": 0, "rain_chance": 0.36}}, "current_weather": true}
+{"feature": "Current Weather", "speed": "medium", "animation": "continuous", "temp": "celsius", "wind_speed": "miles/sec", "colour": "white", "city_colour": "yellow", "title": true, "locations": {"Moscow": {"main_weather": "Clouds", "description": "few clouds", "temp": 4.6, "min_temp": 4.6, "max_temp": 11.07, "feels_like": 2.79, "humidity": 73, "clouds": 16, "wind_speed": 2.11, "wind_direction": 120, "visibility": 10000, "uv": 0, "rain_chance": 0}, "Beijing": {"main_weather": "Clouds", "description": "overcast clouds", "temp": 11.63, "min_temp": 11.63, "max_temp": 14.76, "feels_like": 11.28, "humidity": 93, "clouds": 100, "wind_speed": 1.1, "wind_direction": 9, "visibility": 10000, "uv": 0, "rain_chance": 0.84}, "Tokyo": {"main_weather": "Clouds", "description": "few clouds", "temp": 21.42, "min_temp": 21.42, "max_temp": 27.62, "feels_like": 21.73, "humidity": 81, "clouds": 20, "wind_speed": 0.45, "wind_direction": 291, "visibility": 10000, "uv": 0, "rain_chance": 0}, "London": {"main_weather": "Clouds", "description": "overcast clouds", "temp": 12.23, "min_temp": 11.77, "max_temp": 16.42, "feels_like": 11.91, "humidity": 92, "clouds": 91, "wind_speed": 4.01, "wind_direction": 181, "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": {"Moscow": [{"main_weather": "Rain", "description": "light rain", "min_temp": 7.65, "max_temp": 10.51}, {"main_weather": "Rain", "description": "light rain", "min_temp": 8.46, "max_temp": 9.36}, {"main_weather": "Rain", "description": "light rain", "min_temp": 7.77, "max_temp": 10.32}, {"main_weather": "Clouds", "description": "overcast clouds", "min_temp": 6.71, "max_temp": 8.53}, {"main_weather": "Clouds", "description": "overcast clouds", "min_temp": 4.13, "max_temp": 9.61}, {"main_weather": "Clear", "description": "clear sky", "min_temp": 5.87, "max_temp": 12.32}, {"main_weather": "Clouds", "description": "few clouds", "min_temp": 5.82, "max_temp": 12.78}, {"main_weather": "Clouds", "description": "scattered clouds", "min_temp": 6.06, "max_temp": 13.3}], "London": [{"main_weather": "Clouds", "description": "overcast clouds", "min_temp": 16.43, "max_temp": 21.14}, {"main_weather": "Clouds", "description": "few clouds", "min_temp": 14.49, "max_temp": 22.91}, {"main_weather": "Rain", "description": "moderate rain", "min_temp": 13.23, "max_temp": 18.43}, {"main_weather": "Rain", "description": "moderate rain", "min_temp": 12.03, "max_temp": 17.55}, {"main_weather": "Rain", "description": "light rain", "min_temp": 8.64, "max_temp": 15.93}, {"main_weather": "Rain", "description": "light rain", "min_temp": 11.89, "max_temp": 17.45}, {"main_weather": "Clouds", "description": "overcast clouds", "min_temp": 12.55, "max_temp": 18.84}, {"main_weather": "Rain", "description": "moderate rain", "min_temp": 10.94, "max_temp": 15.26}], "Beijing": [{"main_weather": "Rain", "description": "light rain", "min_temp": 18.1, "max_temp": 22.92}, {"main_weather": "Clouds", "description": "overcast clouds", "min_temp": 17.48, "max_temp": 19.87}, {"main_weather": "Clouds", "description": "overcast clouds", "min_temp": 16.77, "max_temp": 25.9}, {"main_weather": "Rain", "description": "light rain", "min_temp": 18.78, "max_temp": 23.9}, {"main_weather": "Clear", "description": "clear sky", "min_temp": 18.28, "max_temp": 28.13}, {"main_weather": "Rain", "description": "light rain", "min_temp": 17.59, "max_temp": 21.57}, {"main_weather": "Rain", "description": "light rain", "min_temp": 17.99, "max_temp": 20.7}, {"main_weather": "Rain", "description": "light rain", "min_temp": 17.22, "max_temp": 26.37}], "Tokyo": [{"main_weather": "Rain", "description": "light rain", "min_temp": 21.23, "max_temp": 24.98}, {"main_weather": "Clouds", "description": "overcast clouds", "min_temp": 20.36, "max_temp": 23.48}, {"main_weather": "Clouds", "description": "few clouds", "min_temp": 19.58, "max_temp": 25.58}, {"main_weather": "Clouds", "description": "scattered clouds", "min_temp": 19.32, "max_temp": 25.64}, {"main_weather": "Clouds", "description": "broken clouds", "min_temp": 19.51, "max_temp": 23.75}, {"main_weather": "Rain", "description": "light rain", "min_temp": 20.69, "max_temp": 23.92}, {"main_weather": "Rain", "description": "light rain", "min_temp": 20.13, "max_temp": 27.1}, {"main_weather": "Clouds", "description": "broken clouds", "min_temp": 20.75, "max_temp": 25.79}]}, "current_weather": true}
+{"feature": "Current Weather", "speed": "medium", "animation": "continuous", "temp": "celsius", "wind_speed": "miles/sec", "colour": "white", "city_colour": "yellow", "title": true, "locations": {"Moscow": [{"main_weather": "Clouds", "description": "broken clouds", "min_temp": 4.6, "max_temp": 11.07}, {"main_weather": "Clouds", "description": "overcast clouds", "min_temp": 4.88, "max_temp": 11.53}, {"main_weather": "Clear", "description": "clear sky", "min_temp": 4.11, "max_temp": 11.44}, {"main_weather": "Clouds", "description": "scattered clouds", "min_temp": 3.34, "max_temp": 10.75}, {"main_weather": "Clear", "description": "clear sky", "min_temp": 3.99, "max_temp": 11.32}, {"main_weather": "Clear", "description": "clear sky", "min_temp": 4.57, "max_temp": 11.12}, {"main_weather": "Clouds", "description": "broken clouds", "min_temp": 3.94, "max_temp": 9.68}, {"main_weather": "Clouds", "description": "broken clouds", "min_temp": 5.99, "max_temp": 10.77}], "Beijing": [{"main_weather": "Rain", "description": "light rain", "min_temp": 11.63, "max_temp": 14.76}, {"main_weather": "Rain", "description": "moderate rain", "min_temp": 10.22, "max_temp": 12.33}, {"main_weather": "Clouds", "description": "overcast clouds", "min_temp": 10.29, "max_temp": 17.61}, {"main_weather": "Clear", "description": "clear sky", "min_temp": 11.53, "max_temp": 19.55}, {"main_weather": "Rain", "description": "moderate rain", "min_temp": 13.15, "max_temp": 19.6}, {"main_weather": "Rain", "description": "moderate rain", "min_temp": 14.29, "max_temp": 19.8}, {"main_weather": "Clouds", "description": "overcast clouds", "min_temp": 13.08, "max_temp": 18.87}, {"main_weather": "Clear", "description": "clear sky", "min_temp": 11.42, "max_temp": 19.6}], "Tokyo": [{"main_weather": "Clear", "description": "clear sky", "min_temp": 21.42, "max_temp": 27.62}, {"main_weather": "Clouds", "description": "few clouds", "min_temp": 21.12, "max_temp": 26.36}, {"main_weather": "Clouds", "description": "overcast clouds", "min_temp": 20.3, "max_temp": 22.81}, {"main_weather": "Rain", "description": "light rain", "min_temp": 21.31, "max_temp": 26.99}, {"main_weather": "Rain", "description": "light rain", "min_temp": 20.53, "max_temp": 23.98}, {"main_weather": "Rain", "description": "light rain", "min_temp": 19.15, "max_temp": 24.43}, {"main_weather": "Clouds", "description": "few clouds", "min_temp": 21.26, "max_temp": 26.41}, {"main_weather": "Rain", "description": "light rain", "min_temp": 22.4, "max_temp": 26.43}], "London": [{"main_weather": "Rain", "description": "light rain", "min_temp": 11.77, "max_temp": 16.42}, {"main_weather": "Rain", "description": "heavy intensity rain", "min_temp": 10.89, "max_temp": 13.15}, {"main_weather": "Clear", "description": "clear sky", "min_temp": 9.54, "max_temp": 15.37}, {"main_weather": "Clouds", "description": "overcast clouds", "min_temp": 10.64, "max_temp": 17.51}, {"main_weather": "Clouds", "description": "overcast clouds", "min_temp": 13.65, "max_temp": 17.56}, {"main_weather": "Clouds", "description": "broken clouds", "min_temp": 14.4, "max_temp": 18.88}, {"main_weather": "Clouds", "description": "scattered clouds", "min_temp": 12.83, "max_temp": 18.66}, {"main_weather": "Clouds", "description": "broken clouds", "min_temp": 12.03, "max_temp": 19.24}]}, "current_weather": true}

csv/last_updates.json

@@ -1 +0,0 @@
-{"stocks": "19/09/2021 12:09:24", "crypto": "19/09/2021 12:09:26", "news": "19/09/2021 12:09:28", "weather": "19/09/2021 12:09:26", "forex": "19/09/2021 18:09:31", "sports": "19/09/2021 12:09:29"}

csv/stocks_settings.json

@@ -1 +1 @@
-{"feature": "Stocks", "speed": "medium", "animation": "continuous", "percent": true, "point": false, "logos": true, "chart": false, "title": true, "symbols": {"MSFT": {"current": 299.35, "opening": 298.21}, "GOOG": {"current": 2854.185, "opening": 2821.99}}}
+{"feature": "Stocks", "speed": "medium", "animation": "continuous", "percent": true, "point": false, "logos": true, "chart": false, "title": true, "symbols": {"MSFT": {"current": 282.63, "opening": 287.28}, "GOOG": {"current": 2665.2, "opening": 2713.99}}}

log.txt

@@ -0,0 +1,9 @@
+'StockTicker' object has no attribute 'readStocksCSV'. file: stockTicker.py. line: 2186. type: <class 'AttributeError'>
+ Traceback (most recent call last):
+  File "stockTicker.py", line 2186, in <module>
+    stock_ticker.updateMultiple(['Stocks Prof'])
+  File "stockTicker.py", line 276, in updateMultiple
+    img = self.functions[option]()
+  File "stockTicker.py", line 927, in getStockProfessional
+    self.readStocksCSV()
+AttributeError: 'StockTicker' object has no attribute 'readStocksCSV'

stockTicker.py

@@ -661,6 +661,8 @@ class StockTicker():
             title_img = self.openImage('feature_titles/crypto.png')
             image_list = [title_img]
             image_list.append(self.blank)
+        else:
+            image_list = []
         
         
         
@@ -754,6 +756,8 @@ class StockTicker():
             title_img = self.openImage('feature_titles/forex.png')
             image_list = [title_img]
             image_list.append(self.blank)
+        else:
+            image_list = []
             
         forex_settings = all_forex_settings['symbols']
         
@@ -798,9 +802,17 @@ class StockTicker():
     
     def getForexProfessional(self):
         
+        f = open('csv/forex_settings.json', 'r')
+        all_forex_settings = json.load(f)
+        f.close()
+    
+        if all_forex_settings['title']:
             title_img = self.openImage('feature_titles/small_feature_titles/forex.png')
             self.blank = Image.new('RGB', (0, 16))
             image_list = [title_img, Image.new('RGB', (5, 16))]
+        else:
+            image_list = []
+            
         
         base, currency_info = json.load(open('csv/currency.json', 'r'))
         currencies = ['AUD', 'CAD', 'CHF', 'EUR', 'GBP', 'JPY', 'NZD']
@@ -862,6 +874,8 @@ class StockTicker():
             title_img = self.openImage('feature_titles/stocks.png')
             image_list = [title_img]
             image_list.append(self.blank)
+        else:
+            image_list = []
         
         
         symbols = []
@@ -906,8 +920,17 @@ class StockTicker():
         return finalDisplayImage
         
     def getStockProfessional(self):
+        
+        f = open('csv/stocks_settings.json', 'r')
+        all_stocks_settings = json.load(f)
+        f.close()
+        
+        if all_stocks_settings['title']:
             title_img = self.openImage('feature_titles/small_feature_titles/stocks.png')
             image_list = [title_img, Image.new('RGB', (5, 16))]
+            image_list.append(self.blank)
+        else:
+            image_list = []
             
         self.readStocksCSV()
  
@@ -915,11 +938,12 @@ class StockTicker():
         for i, symbol in enumerate(self.symbols):
             
             
-            info = self.stock_info[symbol]
+            info = stock_info[symbol]
             
-            change = float(info[0])-float(info[1]) #TEXT
+            change = float(info['current'])-float(info['opening']) #TEXT
             ticker = symbol #TEXT
-            current = '%.2f' % float(info[0]) #TEXT
+            current = '%.2f' % float(info['current']) #TEXT
+            
             
             arrow, change = self.getArrow(change, professional=True)
             change = '%.2f' % change
@@ -1079,9 +1103,6 @@ class StockTicker():
            
                 logo = Image.open(os.path.join(logos_path,  logo_name + '.png'))
 
-            
-            
-            
             width, height = logo.size
                 
             logo = logo.resize((int(width/2), int(height/2)))
@@ -1103,12 +1124,30 @@ class StockTicker():
         
     def getLeagueImage(self, league=False, time = 'past'):
         
-        if not league:
-            f = open( "csv/league.txt", 'r' )
-            league = f.read().replace('\n', '')
-            f.close()
+        if time in ['past', 'live']:
+            filepath = 'csv/{}_games.json'.format(time)
             
+        else:
+            filepath = 'csv/upcoming_games.json'
+            
+            
+        all_settings = json.load(open(filepath, 'r'))
         title_img = self.openImage('feature_titles/sports_'+ time + '.png')
+        if all_settings['title']:
+            title_img = self.openImage('feature_titles/sports_{}.png'.format(time))
+            imgs = [title_img, self.blank]
+        else:
+            imgs = []
+            
+            
+        leagues_info = all_settings['leagues']
+        
+        leagues = list(leagues_info.keys())
+            
+            
+        for league in leagues:
+           
+            
             
             img = Image.new('RGB', (10000, 32))
             league_info = json.load(open('csv/sports/{}/{}_games.json'.format(league, time), 'r'))
@@ -1215,17 +1254,9 @@ class StockTicker():
                 
                 #if league == 'NHL':
                 #
-            
-            
-            
                 #img.paste(round_timage, (x_offset+ 7, 8))
-            
-            
                 #x_offset += max(home_timage.size[0], away_timage.size[0], date_timage.size[0], round_timage.size[0], score_image.size[0])
 
-                
-                
-            
                 img.paste(away_logo, (x_offset,0))
                 
                 x_offset += away_logo.size[0]
@@ -1240,35 +1271,42 @@ class StockTicker():
     def getLeagueTableImage(self, league = False):
         
         
-        if not league:
-            f = open( "csv/table_league.txt", 'r' )
-            league = f.read().replace('\n', '')
-            f.close()
+        all_settings = json.load(open('csv/league_tables.json', 'r'))
         
+        leagues_info = all_settings['leagues']
+        
+        leagues = list(leagues_info.keys())
+        
+        if all_settings['title']:
                 title_img = self.openImage('feature_titles/sports_team_stats.png')
+                imgs = [title_img, self.blank]
+        else:
+            imgs = []
+                
+        for league in leagues:
+            
             
             
             img = Image.new('RGB', (10000, 32))
-        team_info = json.load(open('csv/sports/{}/team_stats.json'.format(league), 'r'))
+            team_info = leagues_info[league]
             
             small_font = ImageFont.load("./fonts/5x7.pil")
             med_font = ImageFont.load("./fonts/8x13B.pil")
             large_font = ImageFont.load("./fonts/10x20.pil")
             
-        if league =='NHL': # read the NHl info from the csv, prem will need this as well
-            sports_info = self.readSportsCSV(league)
+                   
+            #if league =='NHL': # read the NHl info from the csv, prem will need this as well
+            sports_info = self.readSportsCSV(league) # gets colour and symbol info etc from csv
             
             buff_size = 20
             x_offset = 0
             for team in team_info:
            
                 try:
-                if league == 'NHL':
+        
                         
                     logo = Image.open('logos/sports/{}/{}'.format(league, sports_info[team['name']]['logo']))
-                elif league == 'premier_league':
             
-                    logo = Image.open('logos/sports/{}/{}.png'.format(league, team['name']))
                     img.paste(logo, (x_offset, 0))
                     x_offset += logo.size[0] + 2
                 except Exception as e:
@@ -1301,20 +1339,24 @@ class StockTicker():
             return self.stitchImage([title_img, img])
            
     def getTodayWeatherImage(self):
-        f = open( "csv/weather_location.txt", 'r' )
-        line = next(f)
-        locations = line.split(',')
-        f.close()
-        
+        all_settings = json.load(open('csv/current_weather.json', 'r'))
         
+        if all_settings['title']:
             title_img = self.openImage('feature_titles/weather.png')
             imgs = [title_img, self.blank]
-        current_weathers = json.load(open('csv/current_weather.json', 'r'))
+        else:
+            imgs = []
+        
+        
+        
+        current_weathers = all_settings['locations']
+        locations = list(current_weathers.keys())
+        
         for i, location in enumerate(locations):
             img = Image.new('RGB', (203, 32))
             
             
-            current_weather = current_weathers[i]
+            current_weather = current_weathers[location]
             small_font = ImageFont.load("./fonts/5x7.pil")
             large_font = ImageFont.load("./fonts/10x20.pil")
 
@@ -1675,11 +1717,13 @@ class StockTicker():
         
         daily_weathers = json.load(open('csv/daily_weather.json', 'r'))
         
+        locations = list(daily_weathers['locations'].keys())
+        
         for i, location in enumerate(locations):
             img = Image.new('RGB', (1000, 32))
             
-            current_weather = current_weathers[i]
-            daily_weather = daily_weathers[i]
+            current_weather = current_weathers['locations'][location]
+            daily_weather = daily_weathers['locations'][location]
             
             small_font = ImageFont.load("./fonts/5x7.pil")
             extra_small_font = ImageFont.load("./fonts/4x6.pil")
@@ -1876,17 +1920,37 @@ class StockTicker():
         
         title_img = self.openImage('feature_titles/images.png')
         
+        f = open('csv/image_settings.json', 'r')
+        all_settings = json.load(f)
+        f.close()
+        
+
         image = self.openImage(os.path.join(os.path.dirname(os.path.abspath(__file__)), 'display_images/user_image.ppm'))
-        return self.stitchImage([title_img, image])
+        
+        if all_settings['title']:
+            imgs = [title_img, image]
+        else:
+            imgs = [image]
+        
+        return self.stitchImage(imgs)
         
     def getUserGIF(self):
         title_img = self.openImage('feature_titles/gifs.png')
+        
         gif = Image.open(os.path.join(os.path.dirname(os.path.abspath(__file__)), 'display_images/user_gif.gif'))
         
+        f = open('csv/GIF_settings.json', 'r')
+        all_settings = json.load(f)
+        f.close()
+        
         frames = []
        
         for i, frame in enumerate(ImageSequence.Iterator(gif)):
+            
+            if all_settings['title']:
                 f = self.stitchImage([title_img, frame])
+            else:
+                f = self.stitchImage([frame])
             frames.append(f)
             
         
@@ -2127,7 +2191,7 @@ if __name__ == '__main__':
             
             start_image = Image.open('./logos/startup_logo.png')
             
-            stock_ticker.updateMultiple(['News'])
+            stock_ticker.updateMultiple(['Stocks Prof', 'Crypto Prof', 'Forex Prof'])
             stock_ticker.setImage(start_image)
             time.sleep(1)
             stock_ticker.resetMatrix()