sports api call started

api_caller.py

@@ -198,8 +198,7 @@ def updateNews():
         #load user settings
      
         settings = json.load(open('csv/news_settings.json', 'r'))
-        
+    
-
         print(settings)
         headlines = newsapi.get_top_headlines(**settings)
     except:
@@ -298,7 +297,68 @@ def updateCurrencies(api_key):
     print(c_dict)
     json.dump([base, c_dict],  open( "csv/currency.json", 'w+' ))
     
+    
+def updateSports():
+    url = 'https://www.thesportsdb.com/api/v1/json/1/lookuptable.php?l=4328&s=2020-2021' # premier league table
+    'https://www.thesportsdb.com/api/v1/json/1/eventsnext.php?id=133602' # next five events by team ID (paid)  use this for upcoming team games
+    'https://www.thesportsdb.com/api/v2/json/APIKEY/livescore.php?l=4380' #live scores
+    
+    r = requests.get(url)
+    all_data = r.json()
+    
+    print([all_data['table'][i]['intRank'] for i in range(len(all_data['table']))])
+    
+    premier_teams = []
+    print(all_data['table'][0].keys())
+    
+    for i in range(len(all_data['table'])):
+        team = {}
+        team['name'] = all_data['table'][i]['strTeam']
+        team['wins'] = all_data['table'][i]['intWin']
+        team['loss'] = all_data['table'][i]['intLoss']
+        team['draw'] = all_data['table'][i]['intDraw']
+        team['played'] = all_data['table'][i]['intPlayed']
+        team['standing'] = all_data['table'][i]['intRank']
+        team['points'] = all_data['table'][i]['intPoints']
+        
+        premier_teams.append(team)
+    
+    json.dump(premier_teams,  open( "csv/sports/premier_league/team_stats.json", 'w+' ))
+        
+    
+    url = 'https://www.thesportsdb.com/api/v1/json/1/eventsseason.php?id=4328&s=2020-2021' # all events in premier league 
+    r = requests.get(url)
+    all_data = r.json()
+    
+    print()
+    print(all_data['events'][0])
+    #print([all_data['events'][i]['strTimestamp'] for i in range(len(all_data['events']))])
+    
+    events = []
+    
+    for i in range(len(all_data['events'][i])):
+        event = {}
+        event['date'] = all_data['events'][i]['dateEvent']
+        event['time'] = all_data['events'][i]['strTime']
+        event['home_team'] = all_data['events'][i]['strHomeTeam']
+        event['home_score'] = all_data['events'][i]['intHomeScore']
+        event['away_team'] = all_data['events'][i]['strAwayTeam']
+        event['away_score'] = all_data['events'][i]['intAwayScore']
+        event['round'] = all_data['events'][i]['intRound']
+        events.append(event)
+        
+    
+    json.dump(events,  open( "csv/sports/premier_league/past_games.json", 'w+' ))
+    
+    url ='https://www.thesportsdb.com/api/v1/json/1/eventsnextleague.php?id=4328' #next 15 events on the league (premium only)
+    
+    
+
+    
+    
+    
 if __name__ == '__main__':
+    
     newsapi = NewsApiClient(api_key='cf08652bd17647b89aaf469a1a8198a9')
     
     
@@ -366,6 +426,7 @@ if __name__ == '__main__':
                 updateCurrencies(currency_key)
                 updateNews()
                 updateWeather(weather_location, weather_key)
+                updateSports()
                 
                 NY_time = datetime.now(NY_zone)
                 symbols, stock_info = readCSV('csv/tickers.csv', max_stocks)