live nba

live_nba.py

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+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