fintic-tracker/live_nba.py

186 lines
6.3 KiB
Python
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2023-01-09 09:39:53 +00:00
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