Merge pull request #13 from fin-tic/dev

version 1.3.0

csv/last_updates.json

@@ -1 +1 @@
-{"stocks": {"time": "14/06/2022 06:42:06", "force": false}, "crypto": {"time": "14/06/2022 06:58:18", "force": false}, "news": {"time": "14/06/2022 05:29:08", "force": false}, "weather": {"time": "14/06/2022 05:29:08", "force": false}, "forex": {"time": "14/06/2022 05:29:14", "force": false}, "sports_l": {"time": "14/06/2022 04:42:37", "force": false}, "sports_p": {"time": "14/06/2022 06:27:34", "force": false}, "sports_u": {"time": "14/06/2022 06:28:34", "force": false}, "sports_t": {"time": "14/06/2022 06:26:23", "force": false}, "commodities": {"time": "14/06/2022 06:51:07", "force": false}, "indices": {"time": "05/10/2022 04:06:10", "force": false}}
+{"stocks": {"time": "14/06/2022 06:42:06", "force": false}, "crypto": {"time": "14/06/2022 06:58:18", "force": false}, "news": {"time": "14/06/2022 05:29:08", "force": false}, "weather": {"time": "14/06/2022 05:29:08", "force": false}, "forex": {"time": "14/06/2022 05:29:14", "force": false}, "sports_l": {"time": "14/06/2022 04:42:37", "force": false}, "sports_p": {"time": "14/06/2022 06:27:34", "force": false}, "sports_u": {"time": "14/06/2022 06:28:34", "force": false}, "sports_t": {"time": "14/06/2022 06:26:23", "force": false}, "commodities": {"time": "14/06/2022 06:51:07", "force": false}, "indices": {"time": "05/10/2022 04:06:10", "force": false}, "movies": {"time": "05/10/2022 02:31:40", "force": false}}

csv/live_mlb.json

@@ -0,0 +1 @@
+{"feature": "Sports (Live Games)", "speed": "medium", "speed2": "medium", "animation": "down", "title": true, "leagues": {"MLB": [[{"home_team": "Columbus Blue Jackets", "home_score": "4", "away_team": "Buffalo Sabres", "away_score": "9", "time": "Final", "date": "2022-12-08", "isLive": "post"}, {"home_team": "Philadelphia Flyers", "home_score": "1", "away_team": "Washington Capitals", "away_score": "4", "time": "Final", "date": "2022-12-08", "isLive": "post"}, {"home_team": "Calgary Flames", "home_score": "5", "away_team": "Minnesota Wild", "away_score": "3", "time": "Final", "date": "2022-12-08", "isLive": "post"}, {"home_team": "Colorado Avalanche", "home_score": "0", "away_team": "Boston Bruins", "away_score": "4", "time": "Final", "date": "2022-12-08", "isLive": "post"}, {"home_team": "Edmonton Oilers", "home_score": "8", "away_team": "Arizona Coyotes", "away_score": "2", "time": "Final", "date": "2022-12-08", "isLive": "post"}, {"home_team": "Vegas Golden Knights", "home_score": "1", "away_team": "New York Rangers", "away_score": "5", "time": "Final", "date": "2022-12-08", "isLive": "post"}, {"home_team": "San Jose Sharks", "home_score": "5", "away_team": "Vancouver Canucks", "away_score": "6", "time": "Final/OT", "date": "2022-12-08", "isLive": "post"}], false, "no_live", "no_upcoming"]}}

csv/live_mls.json

@@ -0,0 +1 @@
+{"feature": "Sports (Live Games)", "speed": "medium", "speed2": "medium", "animation": "down", "title": true, "leagues": {"MLS": [[{"home_team": "Columbus Blue Jackets", "home_score": "4", "away_team": "Buffalo Sabres", "away_score": "9", "time": "Final", "date": "2022-12-08", "isLive": "post"}, {"home_team": "Philadelphia Flyers", "home_score": "1", "away_team": "Washington Capitals", "away_score": "4", "time": "Final", "date": "2022-12-08", "isLive": "post"}, {"home_team": "Calgary Flames", "home_score": "5", "away_team": "Minnesota Wild", "away_score": "3", "time": "Final", "date": "2022-12-08", "isLive": "post"}, {"home_team": "Colorado Avalanche", "home_score": "0", "away_team": "Boston Bruins", "away_score": "4", "time": "Final", "date": "2022-12-08", "isLive": "post"}, {"home_team": "Edmonton Oilers", "home_score": "8", "away_team": "Arizona Coyotes", "away_score": "2", "time": "Final", "date": "2022-12-08", "isLive": "post"}, {"home_team": "Vegas Golden Knights", "home_score": "1", "away_team": "New York Rangers", "away_score": "5", "time": "Final", "date": "2022-12-08", "isLive": "post"}, {"home_team": "San Jose Sharks", "home_score": "5", "away_team": "Vancouver Canucks", "away_score": "6", "time": "Final/OT", "date": "2022-12-08", "isLive": "post"}], false, "no_live", "no_upcoming"]}}

csv/live_nba.json

@@ -0,0 +1 @@
+{"feature": "Sports (Live Games)", "speed": "medium", "speed2": "medium", "animation": "down", "title": true, "leagues": {"NBA": [[{"home_team": "Orlando Magic", "home_score": "116", "away_team": "LA Clippers", "away_score": "111", "time": "Final/OT", "date": "2022-12-08", "isLive": "post"}, {"home_team": "Brooklyn Nets", "home_score": "122", "away_team": "Charlotte Hornets", "away_score": "116", "time": "Final", "date": "2022-12-08", "isLive": "post"}, {"home_team": "New York Knicks", "home_score": "113", "away_team": "Atlanta Hawks", "away_score": "89", "time": "Final", "date": "2022-12-08", "isLive": "post"}, {"home_team": "Toronto Raptors", "home_score": "126", "away_team": "Los Angeles Lakers", "away_score": "113", "time": "Final", "date": "2022-12-08", "isLive": "post"}, {"home_team": "Chicago Bulls", "home_score": "115", "away_team": "Washington Wizards", "away_score": "111", "time": "Final", "date": "2022-12-08", "isLive": "post"}, {"home_team": "Memphis Grizzlies", "home_score": "123", "away_team": "Oklahoma City Thunder", "away_score": "102", "time": "Final", "date": "2022-12-08", "isLive": "post"}, {"home_team": "Milwaukee Bucks", "home_score": "126", "away_team": "Sacramento Kings", "away_score": "113", "time": "Final", "date": "2022-12-08", "isLive": "post"}, {"home_team": "Minnesota Timberwolves", "home_score": "121", "away_team": "Indiana Pacers", "away_score": "115", "time": "Final", "date": "2022-12-08", "isLive": "post"}, {"home_team": "New Orleans Pelicans", "home_score": "104", "away_team": "Detroit Pistons", "away_score": "98", "time": "Final", "date": "2022-12-08", "isLive": "post"}, {"home_team": "Utah Jazz", "home_score": "124", "away_team": "Golden State Warriors", "away_score": "123", "time": "Final", "date": "2022-12-08", "isLive": "post"}, {"home_team": "Phoenix Suns", "home_score": "98", "away_team": "Boston Celtics", "away_score": "125", "time": "Final", "date": "2022-12-08", "isLive": "post"}], false, "no_live", "no_upcoming"]}}

csv/live_nfl.json

@@ -0,0 +1 @@
+{"feature": "Sports (Live Games)", "speed": "medium", "speed2": "medium", "animation": "down", "title": true, "leagues": {"NFL": [[{"home_team": "Charlotte Hornets", "home_score": "117", "away_team": "LA Clippers", "away_score": "119", "time": "Final", "date": "2022-12-06", "isLive": "post"}, {"home_team": "Orlando Magic", "home_score": "102", "away_team": "Milwaukee Bucks", "away_score": "109", "time": "Final", "date": "2022-12-06", "isLive": "post"}, {"home_team": "Atlanta Hawks", "home_score": "114", "away_team": "Oklahoma City Thunder", "away_score": "121", "time": "Final", "date": "2022-12-06", "isLive": "post"}, {"home_team": "Toronto Raptors", "home_score": "110", "away_team": "Boston Celtics", "away_score": "116", "time": "Final", "date": "2022-12-06", "isLive": "post"}, {"home_team": "Houston Rockets", "home_score": "132", "away_team": "Philadelphia 76ers", "away_score": "123", "time": "Final/2OT", "date": "2022-12-06", "isLive": "post"}, {"home_team": "Memphis Grizzlies", "home_score": "101", "away_team": "Miami Heat", "away_score": "93", "time": "Final", "date": "2022-12-06", "isLive": "post"}, {"home_team": "Dallas Mavericks", "home_score": "130", "away_team": "Phoenix Suns", "away_score": "111", "time": "Final", "date": "2022-12-06", "isLive": "post"}, {"home_team": "Golden State Warriors", "home_score": "104", "away_team": "Indiana Pacers", "away_score": "112", "time": "Final", "date": "2022-12-06", "isLive": "post"}], false, "no_live", "no_upcoming"]}}

csv/live_nhl.json

@@ -0,0 +1 @@
+{"feature": "Sports (Live Games)", "speed": "medium", "speed2": "medium", "animation": "down", "title": true, "leagues": {"NHL": [[{"home_team": "Columbus Blue Jackets", "home_score": "4", "away_team": "Buffalo Sabres", "away_score": "9", "time": "Final", "date": "2022-12-08", "isLive": "post"}, {"home_team": "Philadelphia Flyers", "home_score": "1", "away_team": "Washington Capitals", "away_score": "4", "time": "Final", "date": "2022-12-08", "isLive": "post"}, {"home_team": "Calgary Flames", "home_score": "5", "away_team": "Minnesota Wild", "away_score": "3", "time": "Final", "date": "2022-12-08", "isLive": "post"}, {"home_team": "Colorado Avalanche", "home_score": "0", "away_team": "Boston Bruins", "away_score": "4", "time": "Final", "date": "2022-12-08", "isLive": "post"}, {"home_team": "Edmonton Oilers", "home_score": "8", "away_team": "Arizona Coyotes", "away_score": "2", "time": "Final", "date": "2022-12-08", "isLive": "post"}, {"home_team": "Vegas Golden Knights", "home_score": "1", "away_team": "New York Rangers", "away_score": "5", "time": "Final", "date": "2022-12-08", "isLive": "post"}, {"home_team": "San Jose Sharks", "home_score": "5", "away_team": "Vancouver Canucks", "away_score": "6", "time": "Final/OT", "date": "2022-12-08", "isLive": "post"}], false, "no_live", "no_upcoming"]}}

csv/live_pl.json

@@ -0,0 +1 @@
+{"feature": "Sports (Live Games)", "speed": "medium", "speed2": "medium", "animation": "down", "title": true, "leagues": {"PREMIERLEAGUE": [[{"home_team": "Chelsea", "home_score": "0", "away_team": "Manchester City", "away_score": "1", "time": "FT", "date": "2023-01-05", "isLive": "post"}], false, "no_live", "no_upcoming"]}}

csv/sports/MLS/team_info.csv

@@ -1,24 +1,35 @@
 Full Team Name,Team ID,3 Letter ID,Team Color,Logo File name
 Atlanta United,135851,ATL,Gold,Atlanta.png
+Atlanta United FC,135851,ATL,Gold,Atlanta.png
 Austin FC,140079,AUS,Green,Austin.png
 CF Montréal,134150,MTL,Gray,Montreal.png
 Charlotte FC,140078,CHA,Blue,Charlotte.png
 Chicago Fire,134154,CHI,Orange,Chicago.png
+Chicago Fire FC,134154,CHI,Orange,Chicago.png
 Colorado Rapids,134794,COL,Red,Colorado.png
 Columbus Crew,134152,CBS,Yellow,Columbus.png
 DC United,134145,DC,Red,DC.png
+D.C. United,134145,DC,Red,DC.png
 FC Cincinnati,136688,CIN,Orange,Cincinnati.png
 FC Dallas,134146,DAL,Blue,Dallas.png
 Houston Dynamo,134144,HOU,Orange,Houston.png
+Houston Dynamo FC,134144,HOU,Orange,Houston.png
 Inter Miami,137699,MIA,Pink,Miami.png
+Inter Miami CF,137699,MIA,Pink,Miami.png
 L.A. Galaxy,134153,LA,Yellow,LA-Galaxy.png
+LA Galaxy,134153,LA,Yellow,LA-Galaxy.png
 Los Angeles FC,136050,LA,Gold,LAFC.png
+LAFC,136050,LA,Gold,LAFC.png
 Minnesota United,135852,MIN,Light Blue,Minnesota.png
+Minnesota United FC,135852,MIN,Light Blue,Minnesota.png
 Nashville SC,137700,NSH,Yellow,Nashville.png
 New England Rev.,134159,NE,Red,New-England.png
+New England Revolution,134159,NE,Red,New-England.png
 New York City,134630,NYF,Light Blue,NYC.png
+New York City FC,134630,NYF,Light Blue,NYC.png
 New York Red Bulls,134156,NYR,Red,New-York.png
 Orlando City,135292,PHI,Purple,Orlando.png
+Orlando City SC,135292,PHI,Purple,Orlando.png
 Philadelphia Union,134142,PHI,Gold,Philadelphia.png
 Portland Timbers,134155,POR,Green,Portland.png
 Real Salt Lake,134158,RSL,Gold,Salt-Lake.png
@@ -26,4 +37,4 @@ San Jose Earthquakes,134157,SJ,Light Blue,San-Jose.png
 Seattle Sounders FC,134149,SEA,Green,Seattle.png
 Sporting Kansas City,134143,KC,Blue,Kansas-City.png
 Toronto FC,134148,TOR,Red,Toronto.png
-Vancouver Whitecaps,134147,VAN,Blue,Vancouver.png
+Vancouver Whitecaps,134147,VAN,Blue,Vancouver.png

csv/sports/NBA/team_info.csv

@@ -12,6 +12,7 @@ Golden State Warriors,134865,GSW,Yellow,Golden State.png
 Indiana Pacers,134873,IND,Yellow,Indiana.png
 Houston Rockets,134876,HOU,Red,Houston.png
 Los Angeles Clippers,134866,LAC,Red,LA.png
+LA Clippers,134866,LAC,Red,LA.png
 Los Angeles Lakers,134867,LAL,Purple,LA Lakers.png
 Memphis Grizzlies,134877,MEM,Dark blue,Memphis.png
 Miami Heat,134882,MIA,Red,Miami.png
@@ -28,4 +29,4 @@ Sacramento Kings,134869,SAC,Purple,Sacramento.png
 San Antonio Spurs,134879,SAS,Gray,San Antonio.png
 Toronto Raptors,134864,TOR,Gray,Toronto.png
 Phoenix Suns,134868,PHX,Orange,Phoenix.png
-Washington Wizards,134884,WAS,Red,Washington.png
+Washington Wizards,134884,WAS,Red,Washington.png

csv/sports/NFL/team_info.csv

@@ -30,4 +30,5 @@ San Francisco 49ers,134948,SF,Gold,San Francisco.png
 Seattle Seahawks,134949,SEA,Dark blue,Seattle.png
 Tampa Bay Buccaneers,134945,TB,Red,Tampa Bay.png
 Tennessee Titans,134929,TEN,Light blue,Tennessee.png
-Washington,134937,WAS,Dark red,Washington.png
+Washington,134937,WAS,Dark red,Washington.png
+Washington Commanders,134937,WAS,Dark red,Washington.png

csv/sports/PREMIERLEAGUE/team_info.csv

@@ -3,22 +3,30 @@ Arsenal,133604,ARS,Red,Arsenal.png
 Aston Villa,133601,AVL,Light blue,AVFC.png
 Brentford,134355,BRE,Red,Brentford.png
 Brighton,133619,BRI,Blue,Brighton.png
+Brighton & Hove Albion,133619,BRI,Blue,Brighton.png
 Burnley,133623,BUR,Light blue,Burnley.png
 Chelsea,133610,CHE,Dark blue,Chelsea.png
 Crystal Palace,133632,CRY,Blue,Crystal Palace.png
 Everton,133615,EVE,Blue,Everton.png
 Leeds,133635,LEE,Yellow,Leeds.png
+Leeds United,133635,LEE,Yellow,Leeds.png
 Leicester,133626,LEI,Blue,Leicester.png
+Leicester City,133626,LEI,Blue,Leicester.png
 Liverpool,133602,LIV,Red,Liverpool.png
 Manchester City,133613,MCI,Blue,Manchester City.png
 Manchester United,133612,MUN,Red,Man United.png
 Newcastle,134777,NEW,Light blue,Newcastle.png
+Newcastle United,134777,NEW,Light blue,Newcastle.png
 Norwich,133608,NOR,Green,Norwich.png
 Southampton,134778,SOU,Red,Southampton.png
 Tottenham,133616,TOT,Dark blue,Tottenham.png
+Tottenham Hotspur,133616,TOT,Dark blue,Tottenham.png
 Watford,133624,WAT,Red,Watford.png
 West Ham,133636,WHU,Red,West Ham.png
+West Ham United,133636,WHU,Red,West Ham.png
 Wolves,133599,WOL,Yellow,Wolves.png
+Wolverhampton Wanderers,133599,WOL,Yellow,Wolves.png
 Fulham,133600,FUL,Red,Fulham.png
 Nottingham Forest,133720,FOR,Red,Nottingham Forest.png
 Bournemouth,134301,BOU,Red,Bournemouth.png
+AFC Bournemouth,134301,BOU,Red,Bournemouth.png

database_caller.py

@@ -5,12 +5,15 @@
 # This code can not be copied and/or distributed without the express
 # permission of Fintic
 
+import psutil
 import finnhub
 import time
 import csv
 import pytz
 from datetime import datetime, timedelta
+import subprocess
 import json
+import urllib.request
 import datetime as dt
 import sys, os, base64, hashlib, hmac, select
 import requests
@@ -26,7 +29,7 @@ try:
     last_updates = json.load(f)
     f.close()
     last_updates['stocks']['force'] = True
-    #last_updates['weather']['force'] = True
+    last_updates['sports_l']['force'] = True
     f = open('csv/last_updates.json', 'w')
     json.dump(last_updates, f)
     f.close()    
@@ -157,6 +160,114 @@ def updateCommodities(api_key, logf):
         #logf.close()
 
         
+def updateMovies(api_key, logf):
+
+    f = open('csv/movie_settings.json', 'r')
+    all_settings = json.load(f)
+    f.close()
+
+
+    if all_settings['category'] == 'Popular Movies':
+        url = 'https://api.themoviedb.org/3/trending/movie/day?'
+        movieGenre_url = 'https://api.themoviedb.org/3/genre/movie/list?api_key=' + api_key + '&language=en-US'
+        movieGenre_response = requests.get(movieGenre_url)
+        movie_genres = movieGenre_response.json()
+
+    elif all_settings['category'] == 'Popular TV':
+        url = 'https://api.themoviedb.org/3/trending/tv/day?'
+        tvGenre_url = 'https://api.themoviedb.org/3/genre/tv/list?api_key=' + api_key + '&language=en-US'
+        tvGenre_response = requests.get(tvGenre_url)
+        tv_genres = tvGenre_response.json()
+
+    elif all_settings['category'] == 'Popular All':
+        url = 'https://api.themoviedb.org/3/trending/all/day?'
+        movieGenre_url = 'https://api.themoviedb.org/3/genre/movie/list?api_key=' + api_key + '&language=en-US'
+        movieGenre_response = requests.get(movieGenre_url)
+        movie_genres = movieGenre_response.json()
+        tvGenre_url = 'https://api.themoviedb.org/3/genre/tv/list?api_key=' + api_key + '&language=en-US'
+        tvGenre_response = requests.get(tvGenre_url)
+        tv_genres = tvGenre_response.json()
+
+    url += 'api_key=' + api_key
+    response = requests.get(url)
+    data = response.json()
+
+    this_out = []
+    logo_files = []
+
+    if len(data) > 0:
+        movies = data['results']
+
+        for movie in movies:
+            movie_language = movie['original_language']
+            movie_votes = movie['vote_average']
+            movie_votes = "{:.1f}".format(movie_votes)
+            try:
+                movie_titles = movie['title']
+                movie_date = movie['release_date']
+            except KeyError:
+                movie_titles = movie['name']
+                movie_date = movie['first_air_date']
+            movie_type = movie['media_type']
+            movie_genre = movie['genre_ids']
+            movie_logo = 'https://image.tmdb.org/t/p/w500' + movie['backdrop_path']
+            genrefinal = []
+
+            if all_settings['category'] == 'Popular Movies':
+                for i in movie_genre:
+                    for genre in movie_genres['genres']:
+                        if genre['name'] == 'Science Fiction':
+                            genre['name'] = 'Sci-Fi'
+                        if i == genre['id']:
+                            i = genre['name']
+                            genrefinal.append(i)
+            elif all_settings['category'] == 'Popular TV':
+                for i in movie_genre:
+                    for genre in tv_genres['genres']:
+                        if i == genre['id']:
+                            i = genre['name']
+                            genrefinal.append(i)
+            elif all_settings['category'] == 'Popular All':
+                if movie['media_type'] == 'movie':
+                    for i in movie_genre:
+                        for genre in movie_genres['genres']:
+                            if genre['name'] == 'Science Fiction':
+                                genre['name'] = 'Sci-Fi'
+                            if i == genre['id']:
+                                i = genre['name']
+                                genrefinal.append(i)
+                elif movie['media_type'] == 'tv':
+                    for i in movie_genre:
+                        for genre in tv_genres['genres']:
+                            if i == genre['id']:
+                                i = genre['name']
+                                genrefinal.append(i)
+
+            this_out.append({'title':movie_titles,
+                             'language':movie_language.upper(),
+                             'votes':str(movie_votes),
+                             'date':movie_date,
+                             'media_type':movie_type.capitalize(),
+                             'genre':genrefinal,
+                             'backdrop':movie['backdrop_path'][1:],
+                             'logo': movie_logo
+            })
+
+            logo_files.append(movie['backdrop_path'][1:])
+
+            urllib.request.urlretrieve(movie_logo,'logos/movies/' + movie['backdrop_path'])
+
+        for file in os.listdir('logos/movies/'):
+            if file not in logo_files:
+                os.remove('logos/movies/'+file)
+
+    all_settings['movies'] = this_out
+
+    f = open('csv/movie_settings.json', 'w+')
+    json.dump(all_settings, f)
+    f.close()
+        
+        
 def updateIndices(api_key, logf):
  
     try:
@@ -565,72 +676,179 @@ def updateLeagueTables(api_key, logf):
         #logf.write('\n ' + "".join(traceback.format_exception(sys.exc_info()[0], sys.exc_info()[1], sys.exc_info()[2])))
         #logf.close()
 
-    
+
+def updatePLtime():
+
+    f = open('csv/live_games.json')
+
+    try:
+        all_settings = json.load(f)
+        f.close()
+
+        try:
+            for league in all_settings['leagues']:
+                if league == 'PREMIERLEAGUE':
+                    subprocess.run(["sudo", "pkill", "-f", "live_pl.py"], shell=False)
+                    premierleague = subprocess.Popen(["python3", "live_pl.py"], shell=False)
+        except:
+            pass
+    except:
+        pass
+        
+        
 def updateLeagueEvents(api_key, time, logf):
 
     url = 'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/sports?{}='.format(time)
     
     if time == 'past':
-        
         f = open('csv/past_games.json')
     elif time == 'upcoming':
-       
         f = open('csv/upcoming_games.json')
     elif time == 'livescore':
         f = open('csv/live_games.json')
     
     
-        
-    
     try:
         all_settings = json.load(f)
-
         f.close()
-        leagues = all_settings['leagues'].keys()
-        leagues_info = {}
-       
-        for league in leagues:
-            
-            if league == 'PREMIERLEAGUE':
-                url += 'PREMIERLEAGUE,'
-            else:
-                url += league + ','
-        url = url[:-1] # remove last comma 
-        url += '&apiKey=' + api_key
-        
-        r = requests.get(url)
-        
-        all_data = r.json()
-        
-        for league in all_data.keys():
-            events = []
-            for d in all_data[league]:
-                event = {}
-                event['date'] = d['dateEvent']
+
+        if time == 'livescore':
+            try:
+                leagues_info = {}
+                for league in all_settings['leagues']:
+                    events = []
+                    if league == 'NFL':
+                        subprocess.run(["sudo", "pkill", "-f", "live_nfl.py"], shell=False)
+                        nfl = subprocess.Popen(["python3", "live_nfl.py"], shell=False)
+                        events.append('Filled')
+                        leagues_info[league.upper()] = events
+                    if league == 'NBA':
+                        subprocess.run(["sudo", "pkill", "-f", "live_nba.py"], shell=False)
+                        nba = subprocess.Popen(["python3", "live_nba.py"], shell=False)
+                        events.append('Filled')
+                        leagues_info[league.upper()] = events
+                    if league == 'NHL':
+                        subprocess.run(["sudo", "pkill", "-f", "live_nhl.py"], shell=False)
+                        nhl = subprocess.Popen(["python3", "live_nhl.py"], shell=False)
+                        events.append('Filled')
+                        leagues_info[league.upper()] = events
+                    if league == 'MLB':
+                        subprocess.run(["sudo", "pkill", "-f", "live_mlb.py"], shell=False)
+                        mlb = subprocess.Popen(["python3", "live_mlb.py"], shell=False)
+                        events.append('Filled')
+                        leagues_info[league.upper()] = events
+                    if league == 'PREMIERLEAGUE':
+                        subprocess.run(["sudo", "pkill", "-f", "live_pl.py"], shell=False)
+                        premierleague = subprocess.Popen(["python3", "live_pl.py"], shell=False)
+                        events.append('Filled')
+                        leagues_info[league.upper()] = events
+                    if league == 'MLS':
+                        subprocess.run(["sudo", "pkill", "-f", "live_mls.py"], shell=False)
+                        mls = subprocess.Popen(["python3", "live_mls.py"], shell=False)
+                        events.append('Filled')
+                        leagues_info[league.upper()] = events
+
+                all_settings['leagues'] = leagues_info
+
+                f = open( "csv/live_games.json", 'w+' )
+                json.dump(all_settings,  f)
+                f.close()
+            except:
+                pass
+
+        else:        
+
+            leagues = all_settings['leagues'].keys()
+            leagues_info = {}
+           
+            for league in leagues:
                 
-                if time == 'live':
-                   
-                    event['progess'] = d['strProgress']
-                    event['status'] = d['strStatus']
+                if league == 'PREMIERLEAGUE':
+                    url += 'PREMIERLEAGUE,'
                 else:
+                    url += league + ','
+            url = url[:-1] # remove last comma 
+            url += '&apiKey=' + api_key
+            
+            r = requests.get(url)
+            
+            all_data = r.json()
+            
+            for league in all_data.keys():
+                ten_or_fifteen = slice(None)
+                events = []
+                if (league == 'PGA') or (league == 'LPGA') or (league == 'PGA_EU'):
+                    ten_or_fifteen = slice(3)
+                else:
+                    ten_or_fifteen = slice(None)
+                for d in all_data[league][ten_or_fifteen]:
+                    event = {}
+                    event['date'] = d['dateEvent']
                     
-                    event['round'] = d['intRound']
-                event['time'] = d['strTime']
-                event['home_team'] = d['strHomeTeam']
-                
-                event['away_team'] = d['strAwayTeam']
-                
-                if time != 'upcoming':
-                    event['away_score'] = d['intAwayScore']
-                    event['home_score'] = d['intHomeScore']
-                
-                events.append(event)
-            leagues_info[league.upper()] = events
-        all_settings['leagues'] = leagues_info
+                    if time == 'live':
+                        event['progess'] = d['strProgress']
+                        event['status'] = d['strStatus']
+                    else:
+                        if (league == 'PGA') or (league == 'LPGA') or (league == 'PGA_EU'):
+                            event['date'] = d['dateEvent']
+                            event['event'] = d['strEvent'].replace("\u2019","'")
+                            event['venue'] = d['strVenue'].replace("\u2019","'")
+                            event['city'] = d['strCity'].replace("\u2019","'")
+                            event['country'] = d['strCountry']
+                            event['season'] = d['strSeason']
+                        else:
+                            event['round'] = d['intRound']
+                            event['time'] = d['strTime']
+                            event['home_team'] = d['strHomeTeam']
+                            event['away_team'] = d['strAwayTeam']
+                    
+                    if time != 'upcoming':
+                        if (league == 'PGA') or (league == 'LPGA') or (league == 'PGA_EU'):
+                            event['golf_standings'] = d['strResult']
 
-        f = open( "csv/{}_games.json".format(time), 'w+' )
-        json.dump(all_settings,  f)
-        f.close()
+                            rank = ['n1', 'n2', 'n3', 'n4', 'n5', 'n6', 'n7', 'n8', 'n9', 'n10', 'T1', 'T2', 'T3', 'T4', 'T5',
+                                    'T6', 'T7', 'T8', 'T9', 'T10']
+
+                            def convert(string):
+                                string = repr(string).replace('/', '')
+                                li = list(string.split('\\'))
+                                return li
+
+                            str3 = convert(event['golf_standings'])
+
+                            players = []
+
+
+                            for each in str3:
+                                each = each.replace('nT', 'T', 1)
+                                if each[:2] in rank:
+                                    try:
+                                        first_space = each.find(' ', 1)
+                                        second_space = each.find(' ', 4)
+                                        first_name = each[first_space:second_space].lstrip()
+                                        initial = first_name[0] + '.'
+                                        each = each.replace(first_name,initial)
+                                    except:
+                                        pass
+                                    interator = each.find('-')
+                                    if interator < 0:
+                                        interator = 0
+                                    interator2 = each[interator:interator + 3]
+                                    result = each.split(interator2, 1)[0] + interator2
+                                    players.append(result.rstrip())
+
+                            event['golf_standings'] = players
+                        else:
+                            event['away_score'] = d['intAwayScore']
+                            event['home_score'] = d['intHomeScore']
+                    
+                    events.append(event)
+                leagues_info[league.upper()] = events
+            all_settings['leagues'] = leagues_info
+
+            f = open( "csv/{}_games.json".format(time), 'w+' )
+            json.dump(all_settings,  f)
+            f.close()
     except:
         pass
         #logf = open('log.txt', "a")
@@ -711,7 +929,11 @@ def updateAll(api_key, weather_key, logf):
     if weather_key:
         updateWeather(weather_key, logf)
     
-            
+    
+past_espn_time = True
+past_pl_time = True
+    
+    
 if __name__ == '__main__':
     logf = open("log.txt", "a")
     
@@ -721,7 +943,7 @@ if __name__ == '__main__':
     
     
 
-    update_frequencies = {'stocks':2, 'crypto':5, 'forex':60, 'news':120, 'weather': 120, 'sports': 1440, 'commodities': 15, 'indices': 15} #minutes
+    update_frequencies = {'stocks':2, 'crypto':5, 'forex':60, 'news':120, 'weather': 120, 'sports': 1440, 'commodities': 15, 'indices': 15, 'movies': 1440} #minutes
 
     NY_zone = pytz.timezone('America/New_York')
     CET_zone = pytz.timezone('EST')
@@ -758,7 +980,10 @@ if __name__ == '__main__':
         logf.write('\n ' + "".join(traceback.format_exception(sys.exc_info()[0], sys.exc_info()[1], sys.exc_info()[2])))
         logf.close()
     
-    
+    try:
+        movie_key = open('movie_api_key.txt').readlines()[0]
+    except Exception as e:
+        movie_key = False
     
     
     t = time.time()
@@ -792,7 +1017,7 @@ if __name__ == '__main__':
                 "news": {"time": "06/03/2022 04:07:09", "force": True}, "weather": {"time": "06/03/2022 04:08:20", "force": True}, 
                 "forex": {"time": "06/03/2022 03:54:02", "force": True}, "sports_l": {"time": "06/03/2022 04:10:09", "force": True}, 
                 "sports_p": {"time": "06/03/2022 04:10:09", "force": True},
-                "sports_u": {"time": "06/03/2022 04:10:09", "force": True},"sports_t": {"time": "06/03/2022 04:10:09", "force": True}, "commodities": {"time": "06/03/2022 04:10:09", "force": True}, "indices": {"time": "06/03/2022 04:10:09", "force": True}}
+                "sports_u": {"time": "06/03/2022 04:10:09", "force": True},"sports_t": {"time": "06/03/2022 04:10:09", "force": True}, "commodities": {"time": "06/03/2022 04:10:09", "force": True}, "indices": {"time": "06/03/2022 04:10:09", "force": True}, "movies": {"time": "06/03/2022 04:10:09", "force": True}}
 
             
            
@@ -879,6 +1104,22 @@ if __name__ == '__main__':
                 update_process.start()
                 update_processes.append(update_process)        
         
+            # movies
+            movies_time = datetime.strptime(last_updates['movies']['time'], "%d/%m/%Y %H:%M:%S")
+            
+            
+            NY_time = datetime.now(NY_zone).replace(tzinfo=None)
+            diff = (NY_time - movies_time).total_seconds()/60 #minutes
+           
+            
+            if last_updates['movies']['force'] or diff >= update_frequencies['movies']:
+                movies_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
+                last_updates['movies']['time'] = movies_time
+                last_updates['movies']['force'] = False
+                update_process = Process(target = updateMovies, args = (movie_key,logf))
+                update_process.start()
+                update_processes.append(update_process)
+        
             # weather
             weather_time = datetime.strptime(last_updates['weather']['time'], "%d/%m/%Y %H:%M:%S")
         
@@ -932,16 +1173,36 @@ if __name__ == '__main__':
             # sports live
             sports_time = datetime.strptime(last_updates['sports_l']['time'], "%d/%m/%Y %H:%M:%S")
             NY_time = datetime.now(NY_zone).replace(tzinfo=None)
-            diff = (NY_time - sports_time).total_seconds()/60 #minutes
-            if last_updates['sports_l']['force'] or diff >= update_frequencies['sports']:# or msg == 'S':
+            espn_time = "17:00Z"
+            espn_time_est = "12:00"
+            # if datetime.now(pytz.utc).strftime("%H:%MZ") < espn_time:
+            if datetime.now(pytz.timezone('America/New_York')).strftime("%H:%M") < espn_time_est:
+                past_espn_time = True
+            if last_updates['sports_l']['force'] or (datetime.now(pytz.timezone('America/New_York')).strftime("%H:%M") >= espn_time_est and past_espn_time):# or msg == 'S':
+            # if last_updates['sports_l']['force'] or (datetime.now(pytz.utc).strftime("%H:%MZ") >= espn_time and past_espn_time):# or msg == 'S':
                 sports_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
-                #updateSports(api_key)
                 last_updates['sports_l']['time'] = sports_time
                 last_updates['sports_l']['force'] = False
+                past_espn_time = False
                 update_process = Process(target = updateLeagueEvents, args = (api_key, 'livescore',logf))
                 update_process.start()
                 update_processes.append(update_process)
-            
+
+            #sports live (premier league)
+            pl_time = "12:00Z"
+            NY_time = datetime.now(NY_zone).replace(tzinfo=None)
+            sports_time = datetime.strptime(last_updates['sports_l']['time'], "%d/%m/%Y %H:%M:%S")
+            if datetime.now(pytz.utc).strftime("%H:%MZ") < pl_time:
+                past_pl_time = True
+            if datetime.now(pytz.utc).strftime("%H:%MZ") >= pl_time and past_pl_time:# or msg == 'S':
+                sports_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
+                past_pl_time = False
+                last_updates['sports_l']['time'] = sports_time
+                last_updates['sports_l']['force'] = False
+                update_process = Process(target = updatePLtime)
+                update_process.start()
+                update_processes.append(update_process)
+                
             # sports past
             sports_time = datetime.strptime(last_updates['sports_p']['time'], "%d/%m/%Y %H:%M:%S")
             NY_time = datetime.now(NY_zone).replace(tzinfo=None)

live_mlb.py

@@ -0,0 +1,187 @@
+from datetime import datetime, timedelta
+from time import sleep
+import pytz
+import json
+import requests
+import sys
+
+def sortevents(leaguedata, league):
+
+    games = []
+    haslive = False
+
+    for event in leaguedata['events']:
+
+        event_desc = event['status']['type']['shortDetail']  # use this to display time and quarter on ticker
+        event_date = event['date'].split('T')[0]
+        event_liveOrNot = event['status']['type']['state'] # use this to determine if game has ended or not
+        if event_liveOrNot == 'in':
+            haslive = True
+        has_live = 'has_live'
+        no_upcoming = 'no_upcoming'
+
+        for home_away in event['competitions']:
+            for home_away2 in home_away['competitors']:
+                if home_away2['homeAway'] == 'away':
+                    if home_away2['team']['displayName'] == 'Washington Commanders':
+                        away_team = 'Washington'
+                    else:
+                        away_team = home_away2['team']['displayName']
+                    away_score = home_away2['score']
+                else:
+                    if home_away2['team']['displayName'] == 'Washington Commanders':
+                        home_team = 'Washington'
+                    else:
+                        home_team = home_away2['team']['displayName']
+                    home_score = home_away2['score']
+
+        if datetime.now(pytz.utc).strftime("%Y-%m-%d") == event['date'].split('T')[0] or event['date'].split('T')[0] <= (datetime.strptime(datetime.now(pytz.utc).strftime("%Y-%m-%dT%H:%MZ"), "%Y-%m-%dT%H:%MZ") + timedelta(days=1)).strftime("%Y-%m-%dT%H:%MZ").split('T')[0]:
+            games.append({
+                'home_team': home_team,
+                'home_score': home_score,
+                'away_team': away_team,
+                'away_score': away_score,
+                'time': event_desc,
+                'date': event_date,
+                'isLive': event_liveOrNot
+            })
+    return games, haslive, has_live, no_upcoming
+
+
+f = open('csv/live_mlb.json', 'r')
+all_settings = json.load(f)
+f.close()
+
+mlb_url = "https://site.api.espn.com/apis/site/v2/sports/baseball/mlb/scoreboard"
+
+time_now = datetime.now(pytz.utc)
+time_now2 = time_now.strftime("%Y-%m-%dT%H:%MZ")
+
+mlb_live_now = False
+mlb_games_today = False
+mlb_events = []
+mlb_fifteenmin = False
+games_happened = False
+
+try:
+    mlb_response = requests.get(mlb_url)
+    mlb_data = mlb_response.json()
+except:
+    sleep(120)
+    mlb_response = requests.get(mlb_url)
+    mlb_data = mlb_response.json()
+
+for event in mlb_data['events']:
+    if event['status']['type']['state'] == 'in':
+        mlb_live_now = True
+    if time_now2.split('T')[0] <= event['date'].split('T')[0] and event['date'].split('T')[0] <= (datetime.strptime(time_now2, "%Y-%m-%dT%H:%MZ") + timedelta(days=1)).strftime("%Y-%m-%dT%H:%MZ").split('T')[0]:
+        mlb_events.append(event['date'])
+        mlb_games_today = True
+        if mlb_live_now is False and ((datetime.strptime(event['date'], "%Y-%m-%dT%H:%MZ") + timedelta(minutes=20)).strftime("%Y-%m-%dT%H:%MZ") >= datetime.now(pytz.utc).strftime("%Y-%m-%dT%H:%MZ")) and (event['date'] <= datetime.now(pytz.utc).strftime("%Y-%m-%dT%H:%MZ")):
+            mlb_fifteenmin = True
+
+
+while True:
+    f = open('csv/live_mlb.json', 'r')
+    all_settings = json.load(f)
+    f.close()
+
+    if mlb_live_now:
+        try:
+            mlb_response = requests.get(mlb_url)
+            mlb_data = mlb_response.json()
+            mlb_sorted = sortevents(mlb_data, 'MLB')
+            all_settings['leagues']['MLB'] = mlb_sorted
+            games_happened = True
+
+            if mlb_sorted[1]:
+                mlb_live_now = True
+            else:
+                mlb_live_now = False           
+
+            f = open('csv/live_mlb.json', 'w+')
+            json.dump(all_settings, f)
+            f.close()
+
+            sleep(120)
+        except:
+            sleep(120)
+
+
+    elif mlb_fifteenmin:
+        for _ in range (10):
+            try:
+                mlb_response = requests.get(mlb_url)
+                mlb_data = mlb_response.json()
+                mlb_sorted = sortevents(mlb_data, 'MLB')
+                all_settings['leagues']['MLB'] = mlb_sorted
+
+                f = open('csv/live_mlb.json', 'w+')
+                json.dump(all_settings, f)
+                f.close()
+
+                sleep(120)
+            except:
+                sleep(120) 
+
+        if mlb_sorted[1]:
+            mlb_live_now = True
+            mlb_fifteenmin = False
+            games_happened = True
+        else:
+            mlb_live_now = False
+            mlb_fifteenmin = False
+
+    else:
+        mlb_events2 = []
+
+        try:
+            for event in mlb_events:
+                if event >= datetime.now(pytz.utc).strftime("%Y-%m-%dT%H:%MZ"):
+                    mlb_events2.append(event)
+                    mlb_games_today = True
+            next_mlb = min(mlb_events2)
+            d = datetime.strptime(next_mlb, "%Y-%m-%dT%H:%MZ")
+            mlb_time_left = (d - (datetime.strptime(datetime.now(pytz.utc).strftime("%Y-%m-%dT%H:%MZ"), "%Y-%m-%dT%H:%MZ"))).total_seconds()
+            all_settings['leagues']['MLB'][3] = next_mlb
+
+            f = open('csv/live_mlb.json', 'w+')
+            json.dump(all_settings, f)
+            f.close()
+
+        except:
+            mlb_games_today = False
+            next_mlb = []
+            all_settings['leagues']['MLB'][3] = 'no_upcoming'
+
+            f = open('csv/live_mlb.json', 'w+')
+            json.dump(all_settings, f)
+            f.close()
+            pass    
+
+        if mlb_games_today:
+            sleep(mlb_time_left)
+            mlb_fifteenmin = True
+
+
+    if mlb_live_now is False and mlb_games_today is False and games_happened is True:
+        sleep(7200)
+        all_settings['leagues']['MLB'][2] = 'no_live'
+        all_settings['leagues']['MLB'][3] = 'no_upcoming'
+
+        f = open('csv/live_mlb.json', 'w+')
+        json.dump(all_settings, f)
+        f.close()  
+
+        break
+
+
+    if mlb_live_now is False and mlb_games_today is False and games_happened is False:
+        all_settings['leagues']['MLB'][2] = 'no_live'
+        all_settings['leagues']['MLB'][3] = 'no_upcoming'
+
+        f = open('csv/live_mlb.json', 'w+')
+        json.dump(all_settings, f)
+        f.close()  
+
+        break

live_mls.py

@@ -0,0 +1,188 @@
+from datetime import datetime, timedelta
+from time import sleep
+import pytz
+import json
+import requests
+import sys
+
+def sortevents(leaguedata, league):
+
+    games = []
+    haslive = False
+
+    for event in leaguedata['events']:
+
+        event_desc = event['status']['type']['shortDetail']  # use this to display time and quarter on ticker
+        event_date = event['date'].split('T')[0]
+        event_liveOrNot = event['status']['type']['state'] # use this to determine if game has ended or not
+        if event_liveOrNot == 'in':
+            haslive = True
+        has_live = 'has_live'
+        no_upcoming = 'no_upcoming'
+
+        for home_away in event['competitions']:
+            for home_away2 in home_away['competitors']:
+                if home_away2['homeAway'] == 'away':
+                    if home_away2['team']['displayName'] == 'Washington Commanders':
+                        away_team = 'Washington'
+                    else:
+                        away_team = home_away2['team']['displayName']
+                    away_score = home_away2['score']
+                else:
+                    if home_away2['team']['displayName'] == 'Washington Commanders':
+                        home_team = 'Washington'
+                    else:
+                        home_team = home_away2['team']['displayName']
+                    home_score = home_away2['score']
+
+        if datetime.now(pytz.utc).strftime("%Y-%m-%d") == event['date'].split('T')[0] or event['date'].split('T')[0] <= (datetime.strptime(datetime.now(pytz.utc).strftime("%Y-%m-%dT%H:%MZ"), "%Y-%m-%dT%H:%MZ") + timedelta(days=1)).strftime("%Y-%m-%dT%H:%MZ").split('T')[0]:
+            games.append({
+                'home_team': home_team,
+                'home_score': home_score,
+                'away_team': away_team,
+                'away_score': away_score,
+                'time': event_desc,
+                'date': event_date,
+                'isLive': event_liveOrNot
+            })
+    return games, haslive, has_live, no_upcoming
+
+
+f = open('csv/live_mls.json', 'r')
+all_settings = json.load(f)
+f.close()
+
+mls_url = "https://site.api.espn.com/apis/site/v2/sports/soccer/usa.1/scoreboard"
+
+time_now = datetime.now(pytz.utc)
+time_now2 = time_now.strftime("%Y-%m-%dT%H:%MZ")
+
+mls_live_now = False
+mls_games_today = False
+mls_events = []
+mls_fifteenmin = False
+games_happened = False
+
+try:
+    mls_response = requests.get(mls_url)
+    mls_data = mls_response.json()
+except:
+    sleep(120)
+    mls_response = requests.get(mls_url)
+    mls_data = mls_response.json()
+
+for event in mls_data['events']:
+    if event['status']['type']['state'] == 'in':
+        mls_live_now = True
+    if time_now2.split('T')[0] <= event['date'].split('T')[0] and event['date'].split('T')[0] <= (datetime.strptime(time_now2, "%Y-%m-%dT%H:%MZ") + timedelta(days=1)).strftime("%Y-%m-%dT%H:%MZ").split('T')[0]:
+        mls_events.append(event['date'])
+        mls_games_today = True
+        if mls_live_now is False and ((datetime.strptime(event['date'], "%Y-%m-%dT%H:%MZ") + timedelta(minutes=20)).strftime("%Y-%m-%dT%H:%MZ") >= datetime.now(pytz.utc).strftime("%Y-%m-%dT%H:%MZ")) and (event['date'] <= datetime.now(pytz.utc).strftime("%Y-%m-%dT%H:%MZ")):
+            mls_fifteenmin = True
+
+
+while True:
+    f = open('csv/live_mls.json', 'r')
+    all_settings = json.load(f)
+    f.close()
+
+    if mls_live_now:
+        try:
+            mls_response = requests.get(mls_url)
+            mls_data = mls_response.json()
+            mls_sorted = sortevents(mls_data, 'MLS')
+            all_settings['leagues']['MLS'] = mls_sorted
+            games_happened = True
+
+            if mls_sorted[1]:
+                mls_live_now = True
+            else:
+                mls_live_now = False           
+
+            f = open('csv/live_mls.json', 'w+')
+            json.dump(all_settings, f)
+            f.close()
+
+            sleep(120)
+        except:
+            sleep(120)
+
+
+    elif mls_fifteenmin:
+        for _ in range (10):
+            try:
+                mls_response = requests.get(mls_url)
+                mls_data = mls_response.json()
+                mls_sorted = sortevents(mls_data, 'MLS')
+                all_settings['leagues']['MLS'] = mls_sorted
+
+                f = open('csv/live_mls.json', 'w+')
+                json.dump(all_settings, f)
+                f.close()
+
+                sleep(120)
+            except:
+                sleep(120)
+
+        if mls_sorted[1]:
+            mls_live_now = True
+            mls_fifteenmin = False
+            games_happened = True
+        else:
+            mls_live_now = False
+            mls_fifteenmin = False
+
+    else:
+        mls_events2 = []
+
+        try:
+            for event in mls_events:
+                if event >= datetime.now(pytz.utc).strftime("%Y-%m-%dT%H:%MZ"):
+                    mls_events2.append(event)
+                    mls_games_today = True
+            next_mls = min(mls_events2)
+            d = datetime.strptime(next_mls, "%Y-%m-%dT%H:%MZ")
+            mls_time_left = (d - (datetime.strptime(datetime.now(pytz.utc).strftime("%Y-%m-%dT%H:%MZ"), "%Y-%m-%dT%H:%MZ"))).total_seconds()
+            all_settings['leagues']['MLS'][3] = next_mls
+
+            f = open('csv/live_mls.json', 'w+')
+            json.dump(all_settings, f)
+            f.close()
+
+        except:
+            mls_games_today = False
+            next_mls = []
+
+            all_settings['leagues']['MLS'][3] = 'no_upcoming'
+
+            f = open('csv/live_mls.json', 'w+')
+            json.dump(all_settings, f)
+            f.close()
+            pass    
+
+        if mls_games_today:
+            sleep(mls_time_left)
+            mls_fifteenmin = True
+
+
+    if mls_live_now is False and mls_games_today is False and games_happened is True:
+        sleep(7200)
+        all_settings['leagues']['MLS'][2] = 'no_live'
+        all_settings['leagues']['MLS'][3] = 'no_upcoming'
+
+        f = open('csv/live_mls.json', 'w+')
+        json.dump(all_settings, f)
+        f.close()
+
+        break
+
+
+    if mls_live_now is False and mls_games_today is False and games_happened is False:
+        all_settings['leagues']['MLS'][2] = 'no_live'
+        all_settings['leagues']['MLS'][3] = 'no_upcoming'
+
+        f = open('csv/live_mls.json', 'w+')
+        json.dump(all_settings, f)
+        f.close()
+
+        break

live_nba.py

@@ -0,0 +1,185 @@
+from datetime import datetime, timedelta
+from time import sleep
+import pytz
+import json
+import requests
+import sys
+
+def sortevents(leaguedata, league):
+
+    games = []
+    haslive = False
+
+    for event in leaguedata['events']:
+
+        event_desc = event['status']['type']['shortDetail']  # use this to display time and quarter on ticker
+        event_date = event['date'].split('T')[0]
+        event_liveOrNot = event['status']['type']['state'] # use this to determine if game has ended or not
+        if event_liveOrNot == 'in':
+            haslive = True
+        has_live = 'has_live'
+        no_upcoming = 'no_upcoming'
+
+        for home_away in event['competitions']:
+            for home_away2 in home_away['competitors']:
+                if home_away2['homeAway'] == 'away':
+                    if home_away2['team']['displayName'] == 'Washington Commanders':
+                        away_team = 'Washington'
+                    else:
+                        away_team = home_away2['team']['displayName']
+                    away_score = home_away2['score']
+                else:
+                    if home_away2['team']['displayName'] == 'Washington Commanders':
+                        home_team = 'Washington'
+                    else:
+                        home_team = home_away2['team']['displayName']
+                    home_score = home_away2['score']
+
+        if datetime.now(pytz.utc).strftime("%Y-%m-%d") == event['date'].split('T')[0] or event['date'].split('T')[0] <= (datetime.strptime(datetime.now(pytz.utc).strftime("%Y-%m-%dT%H:%MZ"), "%Y-%m-%dT%H:%MZ") + timedelta(days=1)).strftime("%Y-%m-%dT%H:%MZ").split('T')[0]:
+            games.append({
+                'home_team': home_team,
+                'home_score': home_score,
+                'away_team': away_team,
+                'away_score': away_score,
+                'time': event_desc,
+                'date': event_date,
+                'isLive': event_liveOrNot
+            })
+    return games, haslive, has_live, no_upcoming
+
+
+f = open('csv/live_nba.json', 'r')
+all_settings = json.load(f)
+f.close()
+
+nba_url = "https://site.api.espn.com/apis/site/v2/sports/basketball/nba/scoreboard"
+
+time_now = datetime.now(pytz.utc)
+time_now2 = time_now.strftime("%Y-%m-%dT%H:%MZ")
+
+NBA_live_now = False
+NBA_games_today = False
+NBA_events = []
+NBA_fifteenmin = False
+games_happened = False
+
+try:
+    nba_response = requests.get(nba_url)
+    nba_data = nba_response.json()
+except:
+    sleep(120)
+    nba_response = requests.get(nba_url)
+    nba_data = nba_response.json()
+
+for event in nba_data['events']:
+    if event['status']['type']['state'] == 'in':
+        NBA_live_now = True
+    if time_now2.split('T')[0] <= event['date'].split('T')[0] and event['date'].split('T')[0] <= (datetime.strptime(time_now2, "%Y-%m-%dT%H:%MZ") + timedelta(days=1)).strftime("%Y-%m-%dT%H:%MZ").split('T')[0]:
+        NBA_events.append(event['date'])
+        NBA_games_today = True
+        if NBA_live_now is False and ((datetime.strptime(event['date'], "%Y-%m-%dT%H:%MZ") + timedelta(minutes=20)).strftime("%Y-%m-%dT%H:%MZ") >= datetime.now(pytz.utc).strftime("%Y-%m-%dT%H:%MZ")) and (event['date'] <= datetime.now(pytz.utc).strftime("%Y-%m-%dT%H:%MZ")):
+            NBA_fifteenmin = True
+
+
+while True:
+    f = open('csv/live_nba.json', 'r')
+    all_settings = json.load(f)
+    f.close()
+
+    if NBA_live_now:
+        try:
+            nba_response = requests.get(nba_url)
+            nba_data = nba_response.json()
+            nba_sorted = sortevents(nba_data, 'NBA')
+            all_settings['leagues']['NBA'] = nba_sorted
+            games_happened = True
+
+            if nba_sorted[1]:
+                NBA_live_now = True
+            else:
+                NBA_live_now = False         
+
+            f = open('csv/live_nba.json', 'w+')
+            json.dump(all_settings, f)
+            f.close()
+
+            sleep(120)
+        except:
+            sleep(120)
+
+
+    elif NBA_fifteenmin:
+        for _ in range (10):
+            try:
+                nba_response = requests.get(nba_url)
+                nba_data = nba_response.json()
+                nba_sorted = sortevents(nba_data, 'NBA')
+                all_settings['leagues']['NBA'] = nba_sorted
+
+                f = open('csv/live_nba.json', 'w+')
+                json.dump(all_settings, f)
+                f.close() 
+                sleep(120)
+            except:
+                sleep(120)
+
+        if nba_sorted[1]:
+            NBA_live_now = True
+            NBA_fifteenmin = False
+            games_happened = True                     
+
+        else:
+            NBA_live_now = False
+            NBA_fifteenmin = False
+
+    else:
+        # NBA_events = ['2022-12-06T13:13Z', '2022-12-06T20:30Z', '2022-12-06T21:00Z', '2022-12-06T23:50Z']
+        # NFL_events = ['2022-12-05T14:54Z']
+
+        NBA_events2 = []
+
+        try:
+            for event in NBA_events:
+                if event >= datetime.now(pytz.utc).strftime("%Y-%m-%dT%H:%MZ"):
+                    NBA_events2.append(event)
+                    NBA_games_today = True
+            next_NBA = min(NBA_events2)
+            d = datetime.strptime(next_NBA, "%Y-%m-%dT%H:%MZ")
+            NBA_time_left = (d - (datetime.strptime(datetime.now(pytz.utc).strftime("%Y-%m-%dT%H:%MZ"), "%Y-%m-%dT%H:%MZ"))).total_seconds()
+            all_settings['leagues']['NBA'][3] = next_NBA
+            f = open('csv/live_nba.json', 'w+')
+            json.dump(all_settings, f)
+            f.close()
+
+        except:
+            NBA_games_today = False
+            next_NBA = []
+            all_settings['leagues']['NBA'][3] = 'no_upcoming'
+            f = open('csv/live_nba.json', 'w+')
+            json.dump(all_settings, f)
+            f.close()
+            pass   
+
+        if NBA_games_today:
+            sleep(NBA_time_left)
+            NBA_fifteenmin = True
+
+
+    if NBA_live_now is False and NBA_games_today is False and games_happened is True:
+        sleep(7200)
+
+        all_settings['leagues']['NBA'][2] = 'no_live'
+        all_settings['leagues']['NBA'][3] = 'no_upcoming'
+        f = open('csv/live_nba.json', 'w+')
+        json.dump(all_settings, f)
+        f.close()
+        break
+
+
+    if NBA_live_now is False and NBA_games_today is False and games_happened is False:
+        all_settings['leagues']['NBA'][2] = 'no_live'
+        all_settings['leagues']['NBA'][3] = 'no_upcoming'
+        f = open('csv/live_nba.json', 'w+')
+        json.dump(all_settings, f)
+        f.close()
+        break

live_nfl.py

@@ -0,0 +1,189 @@
+from datetime import datetime, timedelta
+from time import sleep
+import pytz
+import json
+import requests
+import sys
+
+def sortevents(leaguedata, league):
+
+    games = []
+    haslive = False
+
+    for event in leaguedata['events']:
+
+        event_desc = event['status']['type']['shortDetail']  # use this to display time and quarter on ticker
+        event_date = event['date'].split('T')[0]
+        event_liveOrNot = event['status']['type']['state'] # use this to determine if game has ended or not
+        if event_liveOrNot == 'in':
+            haslive = True
+        has_live = 'has_live'
+        no_upcoming = 'no_upcoming'
+
+        for home_away in event['competitions']:
+            for home_away2 in home_away['competitors']:
+                if home_away2['homeAway'] == 'away':
+                    if home_away2['team']['displayName'] == 'Washington Commanders':
+                        away_team = 'Washington'
+                    else:
+                        away_team = home_away2['team']['displayName']
+                    away_score = home_away2['score']
+                else:
+                    if home_away2['team']['displayName'] == 'Washington Commanders':
+                        home_team = 'Washington'
+                    else:
+                        home_team = home_away2['team']['displayName']
+                    home_score = home_away2['score']
+
+        if datetime.now(pytz.utc).strftime("%Y-%m-%d") == event['date'].split('T')[0] or event['date'].split('T')[0] <= (datetime.strptime(datetime.now(pytz.utc).strftime("%Y-%m-%dT%H:%MZ"), "%Y-%m-%dT%H:%MZ") + timedelta(days=1)).strftime("%Y-%m-%dT%H:%MZ").split('T')[0]:
+            games.append({
+                'home_team': home_team,
+                'home_score': home_score,
+                'away_team': away_team,
+                'away_score': away_score,
+                'time': event_desc,
+                'date': event_date,
+                'isLive': event_liveOrNot
+            })
+    return games, haslive, has_live, no_upcoming
+
+
+f = open('csv/live_nfl.json', 'r')
+all_settings = json.load(f)
+f.close()
+
+nfl_url = "https://site.api.espn.com/apis/site/v2/sports/football/nfl/scoreboard"
+
+time_now = datetime.now(pytz.utc)
+time_now2 = time_now.strftime("%Y-%m-%dT%H:%MZ")
+
+nfl_live_now = False
+nfl_games_today = False
+nfl_events = []
+nfl_fifteenmin = False
+
+games_happened = False
+
+try:
+    nfl_response = requests.get(nfl_url)
+    nfl_data = nfl_response.json()
+except:
+    sleep(120)
+    nfl_response = requests.get(nfl_url)
+    nfl_data = nfl_response.json()    
+
+for event in nfl_data['events']:
+    if event['status']['type']['state'] == 'in':
+        nfl_live_now = True
+    if time_now2.split('T')[0] <= event['date'].split('T')[0] and event['date'].split('T')[0] <= (datetime.strptime(time_now2, "%Y-%m-%dT%H:%MZ") + timedelta(days=1)).strftime("%Y-%m-%dT%H:%MZ").split('T')[0]:
+        nfl_events.append(event['date'])
+        nfl_games_today = True
+        if nfl_live_now is False and ((datetime.strptime(event['date'], "%Y-%m-%dT%H:%MZ") + timedelta(minutes=20)).strftime("%Y-%m-%dT%H:%MZ") >= datetime.now(pytz.utc).strftime("%Y-%m-%dT%H:%MZ")) and (event['date'] <= datetime.now(pytz.utc).strftime("%Y-%m-%dT%H:%MZ")):
+            nfl_fifteenmin = True
+
+
+while True:
+    f = open('csv/live_nfl.json', 'r')
+    all_settings = json.load(f)
+    f.close()
+
+    if nfl_live_now:
+        try:
+            nfl_response = requests.get(nfl_url)
+            nfl_data = nfl_response.json()
+            nfl_sorted = sortevents(nfl_data, 'NFL')
+            all_settings['leagues']['NFL'] = nfl_sorted
+            games_happened = True
+
+            if nfl_sorted[1]:
+                nfl_live_now = True
+            else:
+                nfl_live_now = False       
+
+            f = open('csv/live_nfl.json', 'w+')
+            json.dump(all_settings, f)
+            f.close()
+            sleep(120)
+        except:
+            sleep(120)
+
+    elif nfl_fifteenmin:
+        for _ in range (10):
+            try:
+                nfl_response = requests.get(nfl_url)
+                nfl_data = nfl_response.json()
+                nfl_sorted = sortevents(nfl_data, 'NFL')
+                all_settings['leagues']['NFL'] = nfl_sorted
+
+                f = open('csv/live_nfl.json', 'w+')
+                json.dump(all_settings, f)
+                f.close()
+                sleep(120)     
+
+            except:
+                sleep(120)
+
+        if nfl_sorted[1]:
+            nfl_live_now = True
+            nfl_fifteenmin = False 
+            games_happened = True     
+        else:
+            nfl_live_now = False
+            nfl_fifteenmin = False
+
+    else:
+        nfl_events2 = []
+
+        try:
+            for event in nfl_events:
+                if event >= datetime.now(pytz.utc).strftime("%Y-%m-%dT%H:%MZ"):
+                    nfl_events2.append(event)
+                    nfl_games_today = True
+            next_nfl = min(nfl_events2)
+            d = datetime.strptime(next_nfl, "%Y-%m-%dT%H:%MZ")
+            nfl_time_left = (d - (datetime.strptime(datetime.now(pytz.utc).strftime("%Y-%m-%dT%H:%MZ"), "%Y-%m-%dT%H:%MZ"))).total_seconds()
+            all_settings['leagues']['NFL'][3] = next_nfl
+
+            f = open('csv/live_nfl.json', 'w+')
+            json.dump(all_settings, f)
+            f.close()
+
+        except:
+            nfl_games_today = False
+            next_nfl = []
+            all_settings['leagues']['NFL'][3] = 'no_upcoming'
+
+            f = open('csv/live_nfl.json', 'w+')
+            json.dump(all_settings, f)
+            f.close()
+            pass     
+
+
+        if nfl_games_today:
+            sleep(nfl_time_left)
+            nfl_fifteenmin = True
+
+
+    if nfl_live_now is False and nfl_games_today is False and games_happened is True:
+        sleep(7200)
+
+        all_settings['leagues']['NFL'][2] = 'no_live'
+        all_settings['leagues']['NFL'][3] = 'no_upcoming'
+
+        f = open('csv/live_nfl.json', 'w+')
+        json.dump(all_settings, f)
+        f.close()
+
+        break
+
+
+    if nfl_live_now is False and nfl_games_today is False and games_happened is False:
+
+        all_settings['leagues']['NFL'][2] = 'no_live'
+        all_settings['leagues']['NFL'][3] = 'no_upcoming'
+
+        f = open('csv/live_nfl.json', 'w+')
+        json.dump(all_settings, f)
+        f.close()
+
+        break

live_nhl.py

@@ -0,0 +1,194 @@
+from datetime import datetime, timedelta
+from time import sleep
+import pytz
+import json
+import requests
+import sys
+
+def sortevents(leaguedata, league):
+
+    games = []
+    haslive = False
+
+    for event in leaguedata['events']:
+
+        event_desc = event['status']['type']['shortDetail']  # use this to display time and quarter on ticker
+        event_date = event['date'].split('T')[0]
+        event_liveOrNot = event['status']['type']['state'] # use this to determine if game has ended or not
+        if event_liveOrNot == 'in':
+            haslive = True
+        has_live = 'has_live'
+        no_upcoming = 'no_upcoming'
+
+        for home_away in event['competitions']:
+            for home_away2 in home_away['competitors']:
+                if home_away2['homeAway'] == 'away':
+                    if home_away2['team']['displayName'] == 'Washington Commanders':
+                        away_team = 'Washington'
+                    else:
+                        away_team = home_away2['team']['displayName']
+                    away_score = home_away2['score']
+                else:
+                    if home_away2['team']['displayName'] == 'Washington Commanders':
+                        home_team = 'Washington'
+                    else:
+                        home_team = home_away2['team']['displayName']
+                    home_score = home_away2['score']
+
+        if datetime.now(pytz.utc).strftime("%Y-%m-%d") == event['date'].split('T')[0] or event['date'].split('T')[0] <= (datetime.strptime(datetime.now(pytz.utc).strftime("%Y-%m-%dT%H:%MZ"), "%Y-%m-%dT%H:%MZ") + timedelta(days=1)).strftime("%Y-%m-%dT%H:%MZ").split('T')[0]:
+            games.append({
+                'home_team': home_team,
+                'home_score': home_score,
+                'away_team': away_team,
+                'away_score': away_score,
+                'time': event_desc,
+                'date': event_date,
+                'isLive': event_liveOrNot
+            })
+    return games, haslive, has_live, no_upcoming
+
+
+f = open('csv/live_nhl.json', 'r')
+all_settings = json.load(f)
+f.close()
+
+nhl_url = "https://site.api.espn.com/apis/site/v2/sports/hockey/nhl/scoreboard"
+
+time_now = datetime.now(pytz.utc)
+time_now2 = time_now.strftime("%Y-%m-%dT%H:%MZ")
+
+NHL_live_now = False
+NHL_games_today = False
+NHL_events = []
+NHL_fifteenmin = False
+games_happened = False
+
+
+try:
+    nhl_response = requests.get(nhl_url)
+    nhl_data = nhl_response.json()
+except:
+    sleep(120)
+    nhl_response = requests.get(nhl_url)
+    nhl_data = nhl_response.json()
+
+for event in nhl_data['events']:
+    if event['status']['type']['state'] == 'in':
+        NHL_live_now = True
+    if time_now2.split('T')[0] <= event['date'].split('T')[0] and event['date'].split('T')[0] <= (datetime.strptime(time_now2, "%Y-%m-%dT%H:%MZ") + timedelta(days=1)).strftime("%Y-%m-%dT%H:%MZ").split('T')[0]:
+        NHL_events.append(event['date'])
+        NHL_games_today = True
+        if NHL_live_now is False and ((datetime.strptime(event['date'], "%Y-%m-%dT%H:%MZ") + timedelta(minutes=20)).strftime("%Y-%m-%dT%H:%MZ") >= datetime.now(pytz.utc).strftime("%Y-%m-%dT%H:%MZ")) and (event['date'] <= datetime.now(pytz.utc).strftime("%Y-%m-%dT%H:%MZ")):
+            NHL_fifteenmin = True
+
+
+while True:
+    f = open('csv/live_nhl.json', 'r')
+    all_settings = json.load(f)
+    f.close()
+
+    if NHL_live_now:
+        try:
+            nhl_response = requests.get(nhl_url)
+            nhl_data = nhl_response.json()
+            nhl_sorted = sortevents(nhl_data, 'NHL')
+            all_settings['leagues']['NHL'] = nhl_sorted
+            games_happened = True
+
+            if nhl_sorted[1]:
+                NHL_live_now = True
+
+            else:
+                NHL_live_now = False           
+ 
+            f = open('csv/live_nhl.json', 'w+')
+            json.dump(all_settings, f)
+            f.close()
+
+            sleep(120)
+
+        except:
+            sleep(120)
+
+    elif NHL_fifteenmin:
+        for _ in range (10):
+            try:
+                nhl_response = requests.get(nhl_url)
+                nhl_data = nhl_response.json()
+                nhl_sorted = sortevents(nhl_data, 'NHL')
+                all_settings['leagues']['NHL'] = nhl_sorted
+
+                f = open('csv/live_nhl.json', 'w+')
+                json.dump(all_settings, f)
+                f.close()
+                sleep(120)     
+
+            except:
+                sleep(120)
+
+        if nhl_sorted[1]:
+            NHL_live_now = True
+            NHL_fifteenmin = False
+            games_happened = True
+      
+        else:
+            NHL_live_now = False
+            NHL_fifteenmin = False
+
+    else:
+        NHL_events2 = []
+
+        try:
+            for event in NHL_events:
+                if event >= datetime.now(pytz.utc).strftime("%Y-%m-%dT%H:%MZ"):
+                    NHL_events2.append(event)
+                    NHL_games_today = True
+            next_NHL = min(NHL_events2)
+            d = datetime.strptime(next_NHL, "%Y-%m-%dT%H:%MZ")
+            NHL_time_left = (d - (datetime.strptime(datetime.now(pytz.utc).strftime("%Y-%m-%dT%H:%MZ"), "%Y-%m-%dT%H:%MZ"))).total_seconds()
+            all_settings['leagues']['NHL'][3] = next_NHL
+
+            f = open('csv/live_nhl.json', 'w+')
+            json.dump(all_settings, f)
+            f.close() 
+
+        except:
+            NHL_games_today = False
+            next_NHL = []
+            all_settings['leagues']['NHL'][3] = 'no_upcoming'
+
+            f = open('csv/live_nhl.json', 'w+')
+            json.dump(all_settings, f)
+            f.close() 
+
+            pass    
+
+        if NHL_games_today:
+
+            sleep(NHL_time_left)
+            NHL_fifteenmin = True
+
+
+    if NHL_live_now is False and NHL_games_today is False and games_happened is True:
+        sleep(7200)
+
+        all_settings['leagues']['NHL'][2] = 'no_live'
+        all_settings['leagues']['NHL'][3] = 'no_upcoming'
+
+        f = open('csv/live_nhl.json', 'w+')
+        json.dump(all_settings, f)
+        f.close()
+
+        break
+
+
+    if NHL_live_now is False and NHL_games_today is False and games_happened is False:
+
+        all_settings['leagues']['NHL'][2] = 'no_live'
+        all_settings['leagues']['NHL'][3] = 'no_upcoming'
+
+        f = open('csv/live_nhl.json', 'w+')
+        json.dump(all_settings, f)
+        f.close()
+
+        break

live_pl.py

@@ -0,0 +1,193 @@
+from datetime import datetime, timedelta
+from time import sleep
+import pytz
+import json
+import requests
+import sys
+
+def sortevents(leaguedata, league):
+
+    games = []
+    haslive = False
+
+    for event in leaguedata['events']:
+
+        event_desc = event['status']['type']['shortDetail']  # use this to display time and quarter on ticker
+        event_date = event['date'].split('T')[0]
+        event_liveOrNot = event['status']['type']['state'] # use this to determine if game has ended or not
+        if event_liveOrNot == 'in':
+            haslive = True
+        has_live = 'has_live'
+        no_upcoming = 'no_upcoming'
+
+        for home_away in event['competitions']:
+            for home_away2 in home_away['competitors']:
+                if home_away2['homeAway'] == 'away':
+                    if home_away2['team']['displayName'] == 'Washington Commanders':
+                        away_team = 'Washington'
+                    else:
+                        away_team = home_away2['team']['displayName']
+                    away_score = home_away2['score']
+                else:
+                    if home_away2['team']['displayName'] == 'Washington Commanders':
+                        home_team = 'Washington'
+                    else:
+                        home_team = home_away2['team']['displayName']
+                    home_score = home_away2['score']
+
+        if datetime.now(pytz.utc).strftime("%Y-%m-%d") == event['date'].split('T')[0] or event['date'].split('T')[0] <= (datetime.strptime(datetime.now(pytz.utc).strftime("%Y-%m-%dT%H:%MZ"), "%Y-%m-%dT%H:%MZ") + timedelta(days=1)).strftime("%Y-%m-%dT%H:%MZ").split('T')[0]:
+            games.append({
+                'home_team': home_team,
+                'home_score': home_score,
+                'away_team': away_team,
+                'away_score': away_score,
+                'time': event_desc,
+                'date': event_date,
+                'isLive': event_liveOrNot
+            })
+    return games, haslive, has_live, no_upcoming
+
+
+f = open('csv/live_pl.json', 'r')
+all_settings = json.load(f)
+f.close()
+
+pl_url = "https://site.api.espn.com/apis/site/v2/sports/soccer/eng.1/scoreboard"
+
+time_now = datetime.now(pytz.utc)
+time_now2 = time_now.strftime("%Y-%m-%dT%H:%MZ")
+
+pl_live_now = False
+pl_games_today = False
+pl_events = []
+pl_fifteenmin = False
+
+games_happened = False
+
+try:
+    pl_response = requests.get(pl_url)
+    pl_data = pl_response.json()
+except:
+    sleep(120)
+    pl_response = requests.get(pl_url)
+    pl_data = pl_response.json()
+
+for event in pl_data['events']:
+    if event['status']['type']['state'] == 'in':
+        pl_live_now = True
+    if time_now2.split('T')[0] <= event['date'].split('T')[0] and event['date'].split('T')[0] <= (datetime.strptime(time_now2, "%Y-%m-%dT%H:%MZ") + timedelta(days=1)).strftime("%Y-%m-%dT%H:%MZ").split('T')[0]:
+        pl_events.append(event['date'])
+        pl_games_today = True
+        if pl_live_now is False and ((datetime.strptime(event['date'], "%Y-%m-%dT%H:%MZ") + timedelta(minutes=20)).strftime("%Y-%m-%dT%H:%MZ") >= datetime.now(pytz.utc).strftime("%Y-%m-%dT%H:%MZ")) and (event['date'] <= datetime.now(pytz.utc).strftime("%Y-%m-%dT%H:%MZ")):
+            pl_fifteenmin = True
+
+
+while True:
+    f = open('csv/live_pl.json', 'r')
+    all_settings = json.load(f)
+    f.close()
+
+    if pl_live_now:
+        try:
+            pl_response = requests.get(pl_url)
+            pl_data = pl_response.json()
+            pl_sorted = sortevents(pl_data, 'PREMIERLEAGUE')
+            all_settings['leagues']['PREMIERLEAGUE'] = pl_sorted
+            games_happened = True
+
+            if pl_sorted[1]:
+                pl_live_now = True
+            else:
+                pl_live_now = False           
+
+            f = open('csv/live_pl.json', 'w+')
+            json.dump(all_settings, f)
+            f.close()
+
+            sleep(120)
+        except:
+            sleep(120)
+
+
+    elif pl_fifteenmin:
+        for _ in range (10):
+            try:
+                pl_response = requests.get(pl_url)
+                pl_data = pl_response.json()
+                pl_sorted = sortevents(pl_data, 'PREMIERLEAGUE')
+                all_settings['leagues']['PREMIERLEAGUE'] = pl_sorted
+
+                f = open('csv/live_pl.json', 'w+')
+                json.dump(all_settings, f)
+                f.close()
+
+                sleep(120)
+            except:
+                sleep(120)
+
+        if pl_sorted[1]:
+            pl_live_now = True
+            pl_fifteenmin = False  
+            games_happened = True
+    
+        else:
+            pl_live_now = False
+            pl_fifteenmin = False
+
+    else:
+        pl_events2 = []
+
+        try:
+            for event in pl_events:
+                if event >= datetime.now(pytz.utc).strftime("%Y-%m-%dT%H:%MZ"):
+                    pl_events2.append(event)
+                    pl_games_today = True
+            next_pl = min(pl_events2)
+            d = datetime.strptime(next_pl, "%Y-%m-%dT%H:%MZ")
+            pl_time_left = (d - (datetime.strptime(datetime.now(pytz.utc).strftime("%Y-%m-%dT%H:%MZ"), "%Y-%m-%dT%H:%MZ"))).total_seconds()
+            all_settings['leagues']['PREMIERLEAGUE'][3] = next_pl
+
+            f = open('csv/live_pl.json', 'w+')
+            json.dump(all_settings, f)
+            f.close()
+
+        except:
+            pl_games_today = False
+            next_pl = []
+
+            all_settings['leagues']['PREMIERLEAGUE'][3] = 'no_upcoming'
+
+            f = open('csv/live_pl.json', 'w+')
+            json.dump(all_settings, f)
+            f.close()
+
+            pass    
+
+        if pl_games_today:
+            sleep(pl_time_left)
+            pl_fifteenmin = True
+
+
+    if pl_live_now is False and pl_games_today is False and games_happened is True:
+        sleep(7200)
+
+        all_settings['leagues']['PREMIERLEAGUE'][2] = 'no_live'
+        all_settings['leagues']['PREMIERLEAGUE'][3] = 'no_upcoming'
+
+        f = open('csv/live_pl.json', 'w+')
+        json.dump(all_settings, f)
+        f.close() 
+
+        break
+
+
+    if pl_live_now is False and pl_games_today is False and games_happened is False:
+
+        all_settings['leagues']['PREMIERLEAGUE'][2] = 'no_live'
+        all_settings['leagues']['PREMIERLEAGUE'][3] = 'no_upcoming'
+
+        f = open('csv/live_pl.json', 'w+')
+        json.dump(all_settings, f)
+        f.close() 
+
+        break