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added NHL support

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This commit is contained in:
Neythen
2021-06-17 20:06:23 +01:00
parent fe4bc73cf8
commit d84265405c
74 changed files with 170 additions and 92 deletions
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92
api_caller.py
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@@ -297,22 +297,23 @@ def updateCurrencies(api_key):
print(c_dict)
json.dump([base, c_dict], open( "csv/currency.json", 'w+' ))
def updateSports(api_key):
url = 'https://www.thesportsdb.com/api/v1/json/{}/lookuptable.php?l=4328&s=2020-2021'.format(api_key) # premier league table
'https://www.thesportsdb.com/api/v1/json/{}/eventsnext.php?id=133602'.format(api_key) # next five events by team ID (paid) use this for upcoming team games
def updateLeagueTable(api_key, league_id):
url = 'https://www.thesportsdb.com/api/v1/json/{}/lookuptable.php?l={}&s=2020-2021'.format(api_key, league_id)
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())
print(all_data['table'])
for i in range(len(all_data['table'])):
team = {}
if all_data['table'][i]['strTeam'] == "Calgary Flames":
print(all_data['table'][i]['dateUpdated'], all_data['table'][i]['intPoints'])
team['name'] = all_data['table'][i]['strTeam']
team['wins'] = all_data['table'][i]['intWin']
team['loss'] = all_data['table'][i]['intLoss']
@@ -322,44 +323,81 @@ def updateSports(api_key):
team['points'] = all_data['table'][i]['intPoints']
premier_teams.append(team)
json.dump(premier_teams, open( "csv/sports/premier_league/team_stats.json", 'w+' ))
if league_id == '4328':
league = 'premier_league'
elif league_id == '4380':
league = 'NHL'
#url = 'https://www.thesportsdb.com/api/v1/json/{}/eventsseason.php?id=4328&s=2020-2021'.format(api_key) # all past events in premier league
json.dump(premier_teams, open( "csv/sports/{}/team_stats.json".format(league), 'w+' ))
def updateLeagueEvents(api_key, league_id, time):
if time == 'past':
url ='https://www.thesportsdb.com/api/v1/json/{}/eventspastleague.php?id={}'.format(api_key, league_id) #last 15 events on the league (premium only)
else:
url ='https://www.thesportsdb.com/api/v1/json/{}/eventsnextleague.php?id={}'.format(api_key, league_id) #next 15 events on the league (premium only)
url ='https://www.thesportsdb.com/api/v1/json/{}/eventspastleague.php?id=4328'.format(api_key) #last 15 events on the league (premium only)
print(url)
r = requests.get(url)
all_data = r.json()
print()
print(all_data['events'][0])
#print(all_data['events'][0].keys())
#print([all_data['events'][i]['strTimestamp'] for i in range(len(all_data['events']))])
events = []
for i in range(len(all_data['events'])):
event = {}
event['date'] = all_data['events'][i]['dateEvent']
print(event['date'])
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)
if not all_data['events'] is None:
for i in range(len(all_data['events'])):
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)
if league_id == '4328':
league = 'premier_league'
elif league_id == '4380':
league = 'NHL'
json.dump(events, open( "csv/sports/{}/{}_games.json".format(league, time), 'w+' ))
def updateSports(api_key):
prem_id = '4328' #prem
NHL_id = '4380'
#updateLeagueTable(api_key, prem_id) #prem
updateLeagueEvents(api_key, prem_id, 'past')
updateLeagueEvents(api_key, NHL_id, 'future')
updateLeagueTable(api_key, NHL_id)
updateLeagueTable(api_key, prem_id)
'https://www.thesportsdb.com/api/v1/json/{}/eventsnext.php?id=133602'.format(api_key) # next five events by team ID (paid) use this for upcoming team games
json.dump(events, open( "csv/sports/premier_league/past_games.json", 'w+' ))
#url = 'https://www.thesportsdb.com/api/v1/json/{}/eventsseason.php?id=4328&s=2020-2021'.format(api_key) # all past events in premier league
url ='https://www.thesportsdb.com/api/v1/json/{}/eventsnextleague.php?id=4328'.format(api_key) #next 15 events on the league (premium only)
url = 'https://www.thesportsdb.com/api/v2/json/{}/livescore.php?l=4380'.format(api_key) #live scores
print(all_data)