fintic-tracker/live_mls.py

189 lines
6.2 KiB
Python
Raw Normal View History

2023-01-09 09:35:54 +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_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