def test_no_dataframes_extended_returns_none(self):
flexmock(Schedule) \
.should_receive('_pull_schedule') \
.and_return(None)
schedule = Schedule('DET')
fake_game = flexmock(dataframe_extended=None)
fake_games = PropertyMock(return_value=fake_game)
type(schedule).__iter__ = fake_games
assert schedule.dataframe_extended is None
def test_empty_page_return_no_games(self):
flexmock(utils) \
.should_receive('_no_data_found') \
.once()
flexmock(utils) \
.should_receive('_get_stats_table') \
.and_return(None)
schedule = Schedule('NYR')
assert len(schedule) == 0
def test_invalid_default_year_reverts_to_previous_year(self,
*args,
**kwargs):
results = {
'game': 2,
'boxscore_index': '201610150STL',
'date': '2016-10-15',
'datetime': datetime(2016, 10, 15),
'location': AWAY,
'opponent_abbr': 'STL',
'opponent_name': 'St. Louis Blues',
'goals_scored': 2,
'goals_allowed': 3,
'result': LOSS,
'overtime': 0,
'shots_on_goal': 35,
'penalties_in_minutes': 8,
'power_play_goals': 0,
'power_play_opportunities': 2,
'short_handed_goals': 0,
'opp_shots_on_goal': 18,
'opp_penalties_in_minutes': 4,
'opp_power_play_goals': 1,
'opp_power_play_opportunities': 5,
'opp_short_handed_goals': 0,
'corsi_for': 54,
'corsi_against': 23,
'corsi_for_percentage': 70.1,
'fenwick_for': 41,
'fenwick_against': 18,
'fenwick_for_percentage': 69.5,
'faceoff_wins': 29,
'faceoff_losses': 18,
'faceoff_win_percentage': 61.7,
'offensive_zone_start_percentage': 55.2,
'pdo': 92.4
}
flexmock(utils) \
.should_receive('_find_year_for_season') \
.and_return(2018)
flexmock(Boxscore) \
.should_receive('_parse_game_data') \
.and_return(None)
flexmock(Boxscore) \
.should_receive('dataframe') \
.and_return(pd.DataFrame([{'key': 'value'}]))
schedule = Schedule('NYR')
for attribute, value in results.items():
assert getattr(schedule[1], attribute) == value
def setup_method(self, *args, **kwargs):
self.results = {
'game': 2,
'boxscore_index': '201610150STL',
'date': '2016-10-15',
'datetime': datetime(2016, 10, 15),
'location': AWAY,
'opponent_abbr': 'STL',
'opponent_name': 'St. Louis Blues',
'goals_scored': 2,
'goals_allowed': 3,
'result': LOSS,
'overtime': 0,
'shots_on_goal': 35,
'penalties_in_minutes': 8,
'power_play_goals': 0,
'power_play_opportunities': 2,
'short_handed_goals': 0,
'opp_shots_on_goal': 18,
'opp_penalties_in_minutes': 4,
'opp_power_play_goals': 1,
'opp_power_play_opportunities': 5,
'opp_short_handed_goals': 0,
'corsi_for': 54,
'corsi_against': 23,
'corsi_for_percentage': 70.1,
'fenwick_for': 41,
'fenwick_against': 18,
'fenwick_for_percentage': 69.5,
'faceoff_wins': 29,
'faceoff_losses': 18,
'faceoff_win_percentage': 61.7,
'offensive_zone_start_percentage': 55.2,
'pdo': 92.4
}
flexmock(utils) \
.should_receive('_todays_date') \
.and_return(MockDateTime(YEAR, MONTH))
flexmock(Boxscore) \
.should_receive('_parse_game_data') \
.and_return(None)
flexmock(Boxscore) \
.should_receive('dataframe') \
.and_return(pd.DataFrame([{'key': 'value'}]))
self.schedule = Schedule('NYR')