def setup_method(self, *args, **kwargs):
flexmock(Boxscores) \
.should_receive('_get_team_details') \
.and_return((None, None, None, None, None, None))
flexmock(Boxscores) \
.should_receive('_find_games') \
.and_return(None)
self.boxscores = Boxscores(None)
class TestNBABoxscores:
@patch('requests.get', side_effect=mock_pyquery)
def setup_method(self, *args, **kwargs):
flexmock(Boxscores) \
.should_receive('_get_team_details') \
.and_return((None, None, None, None, None, None))
flexmock(Boxscores) \
.should_receive('_find_games') \
.and_return(None)
self.boxscores = Boxscores(None)
def test_improper_loser_boxscore_format_skips_game(self):
mock_html = pq("""<table class="teams">
<tbody>
<tr class="loser">
<td class="right">84</td>
<td class="right gamelink">
</td>
</tr>
<tr class="winner">
<td><a href="/teams/IND/2017.html">Indiana</a></td>
<td class="right">105</td>
<td class="right">
</td>
</tr>
</tbody>
</table>""")
games = self.boxscores._extract_game_info([mock_html])
assert len(games) == 0
def test_improper_winner_boxscore_format_skips_game(self):
mock_html = pq("""<table class="teams">
<tbody>
<tr class="loser">
<td><a href="/teams/DET/2017.html">Detroit</a></td>
<td class="right">84</td>
<td class="right gamelink">
<a href="/boxscores/201702040IND.html">Final</a>
</td>
</tr>
<tr class="winner">
<td class="right">105</td>
<td class="right">
</td>
</tr>
</tbody>
</table>""")
games = self.boxscores._extract_game_info([mock_html])
assert len(games) == 0
def pull_year_data(start, end):
games = Boxscores(start, end).games
coloumns = [
'boxscore', 'away_name', 'away_abbr', 'away_score', 'home_name',
'home_abbr', 'home_score', 'winning_name', 'winning_abbr',
'losing_name', 'losing_abbr'
]
df = pd.DataFrame(columns=coloumns)
for key in games.items():
day = key[1]
for i in range(len(day) - 1):
df = df.append(day[i], ignore_index=True)
return df
def latest_box_score(day_minus=0):
day = date.today() - timedelta(days=day_minus)
score = Boxscores(day)
values = score.games.values()
for v in values:
if len(v) == 0:
return latest_box_score(day_minus + 1)
return {date.today(): score}
def games_for_the_day(date1):
games = Boxscores(date1)
date_string = str(date1.month) + '-' + str(date1.day) + '-' + str(date1.year)
list1 = games.games[date_string]
boxscores = []
for game in list1:
index = game['boxscore']
boxscores.append(index)
return boxscores
def save_game_ids():
nbaStartDate2018 = datetime(2018, 10, 17)
boxscores = Boxscores(nbaStartDate2018, datetime.now())
boxscore_ids = []
for date, games in boxscores.games.items():
for game in games:
boxscore_ids.append(game['boxscore'])
with open('game_ids.txt', 'w') as file:
file.write('\n'.join(boxscore_ids))
def games_for_the_day(date):
games = Boxscores(date)
date_string = str(date.month) + '-' + str(date.day) + '-' + str(date.year)
list1 = games.games[date_string]
print(list1)
boxscores = []
print("Here are the games for " + str(date) + ":")
print()
for game in list1:
away_abbr = game['away_abbr']
home_abbr = game['home_abbr']
print(game.keys())
break
index = game['boxscore']
total_score = game['away_score'] + game['home_score']
prediction = round(both_teams_avg_game_points_previous_10(away_abbr, home_abbr, index), 2)
print(away_abbr + " @ " + home_abbr)
print("Predicted Score: " + str(prediction))
print("Actual Score: " + str(total_score))
print()
def test_boxscores_search_multiple_days(self, *args, **kwargs):
expected = {
'2-4-2017': [
{'boxscore': '201702040ATL',
'away_name': 'Orlando',
'away_abbr': 'ORL',
'away_score': 86,
'home_name': 'Atlanta',
'home_abbr': 'ATL',
'home_score': 113,
'winning_name': 'Atlanta',
'winning_abbr': 'ATL',
'losing_name': 'Orlando',
'losing_abbr': 'ORL'},
{'boxscore': '201702040IND',
'away_name': 'Detroit',
'away_abbr': 'DET',
'away_score': 84,
'home_name': 'Indiana',
'home_abbr': 'IND',
'home_score': 105,
'winning_name': 'Indiana',
'winning_abbr': 'IND',
'losing_name': 'Detroit',
'losing_abbr': 'DET'},
{'boxscore': '201702040MIA',
'away_name': 'Philadelphia',
'away_abbr': 'PHI',
'away_score': 102,
'home_name': 'Miami',
'home_abbr': 'MIA',
'home_score': 125,
'winning_name': 'Miami',
'winning_abbr': 'MIA',
'losing_name': 'Philadelphia',
'losing_abbr': 'PHI'},
{'boxscore': '201702040MIN',
'away_name': 'Memphis',
'away_abbr': 'MEM',
'away_score': 107,
'home_name': 'Minnesota',
'home_abbr': 'MIN',
'home_score': 99,
'winning_name': 'Memphis',
'winning_abbr': 'MEM',
'losing_name': 'Minnesota',
'losing_abbr': 'MIN'},
{'boxscore': '201702040NYK',
'away_name': 'Cleveland',
'away_abbr': 'CLE',
'away_score': 111,
'home_name': 'New York',
'home_abbr': 'NYK',
'home_score': 104,
'winning_name': 'Cleveland',
'winning_abbr': 'CLE',
'losing_name': 'New York',
'losing_abbr': 'NYK'},
{'boxscore': '201702040PHO',
'away_name': 'Milwaukee',
'away_abbr': 'MIL',
'away_score': 137,
'home_name': 'Phoenix',
'home_abbr': 'PHO',
'home_score': 112,
'winning_name': 'Milwaukee',
'winning_abbr': 'MIL',
'losing_name': 'Phoenix',
'losing_abbr': 'PHO'},
{'boxscore': '201702040SAC',
'away_name': 'Golden State',
'away_abbr': 'GSW',
'away_score': 106,
'home_name': 'Sacramento',
'home_abbr': 'SAC',
'home_score': 109,
'winning_name': 'Sacramento',
'winning_abbr': 'SAC',
'losing_name': 'Golden State',
'losing_abbr': 'GSW'},
{'boxscore': '201702040SAS',
'away_name': 'Denver',
'away_abbr': 'DEN',
'away_score': 97,
'home_name': 'San Antonio',
'home_abbr': 'SAS',
'home_score': 121,
'winning_name': 'San Antonio',
'winning_abbr': 'SAS',
'losing_name': 'Denver',
'losing_abbr': 'DEN'},
{'boxscore': '201702040UTA',
'away_name': 'Charlotte',
'away_abbr': 'CHO',
'away_score': 98,
'home_name': 'Utah',
'home_abbr': 'UTA',
'home_score': 105,
'winning_name': 'Utah',
'winning_abbr': 'UTA',
'losing_name': 'Charlotte',
'losing_abbr': 'CHO'},
{'boxscore': '201702040WAS',
'away_name': 'New Orleans',
'away_abbr': 'NOP',
'away_score': 91,
'home_name': 'Washington',
'home_abbr': 'WAS',
'home_score': 105,
'winning_name': 'Washington',
'winning_abbr': 'WAS',
'losing_name': 'New Orleans',
'losing_abbr': 'NOP'}
],
'2-5-2017': [
{'boxscore': '201702050BOS',
'away_name': 'LA Clippers',
'away_abbr': 'LAC',
'away_score': 102,
'home_name': 'Boston',
'home_abbr': 'BOS',
'home_score': 107,
'winning_name': 'Boston',
'winning_abbr': 'BOS',
'losing_name': 'LA Clippers',
'losing_abbr': 'LAC'},
{'boxscore': '201702050BRK',
'away_name': 'Toronto',
'away_abbr': 'TOR',
'away_score': 103,
'home_name': 'Brooklyn',
'home_abbr': 'BRK',
'home_score': 95,
'winning_name': 'Toronto',
'winning_abbr': 'TOR',
'losing_name': 'Brooklyn',
'losing_abbr': 'BRK'},
{'boxscore': '201702050OKC',
'away_name': 'Portland',
'away_abbr': 'POR',
'away_score': 99,
'home_name': 'Oklahoma City',
'home_abbr': 'OKC',
'home_score': 105,
'winning_name': 'Oklahoma City',
'winning_abbr': 'OKC',
'losing_name': 'Portland',
'losing_abbr': 'POR'}
]
}
result = Boxscores(datetime(2017, 2, 4), datetime(2017, 2, 5)).games
assert result == expected
def test_boxscores_search_invalid_end(self, *args, **kwargs):
result = Boxscores(datetime(2017, 2, 4), datetime(2017, 2, 3)).games
assert result == self.expected
def test_boxscores_search_string_representation(self, *args, **kwargs):
result = Boxscores(datetime(2017, 2, 4))
assert result.__repr__() == 'NBA games for 2-4-2017'
def test_boxscores_search(self, *args, **kwargs):
expected = {
'boxscores': [
{
'home_name': 'Atlanta',
'home_abbr': 'ATL',
'boxscore': '201702040ATL',
'away_name': 'Orlando',
'away_abbr': 'ORL'
},
{
'home_name': 'Indiana',
'home_abbr': 'IND',
'boxscore': '201702040IND',
'away_name': 'Detroit',
'away_abbr': 'DET'
},
{
'home_name': 'Miami',
'home_abbr': 'MIA',
'boxscore': '201702040MIA',
'away_name': 'Philadelphia',
'away_abbr': 'PHI'
},
{
'home_name': 'Minnesota',
'home_abbr': 'MIN',
'boxscore': '201702040MIN',
'away_name': 'Memphis',
'away_abbr': 'MEM'
},
{
'home_name': 'New York',
'home_abbr': 'NYK',
'boxscore': '201702040NYK',
'away_name': 'Cleveland',
'away_abbr': 'CLE'
},
{
'home_name': 'Phoenix',
'home_abbr': 'PHO',
'boxscore': '201702040PHO',
'away_name': 'Milwaukee',
'away_abbr': 'MIL'
},
{
'home_name': 'Sacramento',
'home_abbr': 'SAC',
'boxscore': '201702040SAC',
'away_name': 'Golden State',
'away_abbr': 'GSW'
},
{
'home_name': 'San Antonio',
'home_abbr': 'SAS',
'boxscore': '201702040SAS',
'away_name': 'Denver',
'away_abbr': 'DEN'
},
{
'home_name': 'Utah',
'home_abbr': 'UTA',
'boxscore': '201702040UTA',
'away_name': 'Charlotte',
'away_abbr': 'CHO'
},
{
'home_name': 'Washington',
'home_abbr': 'WAS',
'boxscore': '201702040WAS',
'away_name': 'New Orleans',
'away_abbr': 'NOP'
},
]
}
result = Boxscores(datetime(2017, 2, 4)).games
assert result == expected
from sportsreference.nba.boxscore import Boxscores
import datetime
if __name__ == "__main__":
boxscores = Boxscores(datetime.date(2018, 10, 16), datetime.date(2019, 6, 13))
for _, day_of_games in boxscores.games.items():
for game in day_of_games:
print(game['boxscore'])
