added sector to db caller

database_caller.py

@@ -861,6 +861,13 @@ def updateMarket(api_key, logf):
         except:
             all_market_settings = {"feature": "Gainers, Losers, Active", "speed": "medium", "speed2": "medium", "animation": "up", "percent": True, "point": True, "logos": True, "chart": False, "title": True, "lohivol": False, "categories": ["Top Gainers", "Top Losers", "Most Active"], "gainers": {}, "losers": {}, "mostactive": {}}
 
+        try:
+            f = open('csv/sector_settings.json', 'r')
+            all_sector_settings = json.load(f)
+            f.close()
+        except:
+            all_sector_settings = {"feature": "Sector Performance", "speed": "medium", "speed2": "medium", "animation": "up", "logos": True, "title": True, "sectors": ["Energy", "Financials", "Real Estate", "Technology"], "data": {}}
+
         headers = {'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7',
         'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36'}
         url = 'https://cloud.iexapis.com/stable/stock/market/overview?token=pk_aff870df1a984daa9dd43c71801c1936&'
@@ -869,9 +876,11 @@ def updateMarket(api_key, logf):
         mostactive = data['mostactive']
         gainers = data['gainers']
         losers = data['losers']
+        sectors = data['sectorPerformance']
         all_market_settings['losers'] = {}
         all_market_settings['gainers'] = {}
         all_market_settings['mostactive'] = {}
+        all_sector_settings['data'] = {}
         
         try:
             for item in losers:
@@ -909,13 +918,20 @@ def updateMarket(api_key, logf):
                 }
         except:
             pass
+        try:
+            for item in sectors:
+                all_sector_settings['data'][item['symbol']] = {
+                    "current": str(item['performance'] * 100),
+                    "name": str(item['name']),
+                }
+        except:
+            pass
 
         with open('csv/market_settings.json', 'w+') as f:
             json.dump(all_market_settings, f)
+        with open('csv/sector_settings.json', 'w+') as f:
+            json.dump(all_sector_settings, f)
 
-        # all_sector_settings['sectorPerformance'] = data['sectorPerformance']
-        # with open('csv/sector_settings.json', 'w+') as f:
-        #     json.dump(all_sector_settings, f)
     except:
         pass
 
@@ -1835,15 +1851,18 @@ if __name__ == '__main__':
             closing = NY_time.replace(hour=16, minute=5, second=0, microsecond=0).replace(tzinfo=None)
             stock_open = opening < NY_time < closing and datetime.today().weekday() <= 4 
             
-            if last_updates['market']['force'] or (diff >= update_frequencies['market'] and stock_open):# or msg == 'c':
+            if last_updates['market']['force'] or last_updates['sector']['force'] or (diff >= update_frequencies['market'] and stock_open):# or msg == 'c':
                 market_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
                 last_updates['market']['time'] = market_time
                 last_updates['market']['force'] = False
+                last_updates['sector']['time'] = market_time
+                last_updates['sector']['force'] = False
                 update_process = Process(target = updateMarket, args = (api_key,logf))
                 update_process.start()
                 update_processes.append(update_process)
 
             
+            
             # jokes
             jokes_time = datetime.strptime(last_updates['jokes']['time'], "%d/%m/%Y %H:%M:%S")