def scrape_score(self, team):
'''
Returns score of either the home or away team from the supplied
BeautifulSoup4 rlproject match page as an integer.
Args:
team: string, either 'home' or 'away'
Raises:
DataError: unable to process the supplied data
'''
score_th = self.soup.find_all(
'th',
style='font-size:48pt;text-align:center;')
if team == 'home':
team_score = zero_bs4(score_th[0])
elif team == 'away':
team_score = zero_bs4(score_th[1])
try:
team_score = int(team_score)
except ValueError:
raise DataError(
'Could not cast "{}" team score "{}" to int'.format(
team, team_score))
return team_score
def scrape_score(self, team):
'''
Returns score of either the home or away team from the supplied
BeautifulSoup4 afltables match page as an integer.
Args:
team: string, either 'home' or 'away'
Raises:
DataError: unable to process the supplied data
'''
# get down to table rows
rows = self.soup.findAll('tr')
# get scores
if team == 'home':
team_score = zero_bs4(rows[19].findAll('td')[4])
elif team == 'away':
team_score = zero_bs4(rows[19].findAll('td')[9])
# if we don't have something like an integer now, fail
try:
int(team_score)
except ValueError:
raise DataError(
'Could not convert "{}" team score "{}" to int'.format(
team, team_score))
return team_score
def _player_row_as_dict(self, row):
"""Internal utility function. Takes a player row TR and returns it as
a dict.
Each player row contains the following information for the home and
away player in a single position: position code (FB, WG, etc), name,
number of tries, number of goals, number of field goals, and total
points scored.
"""
keys = ['home_pos_code', 'home_name', 'home_tries', 'home_goals',
'home_fgoals', 'home_pts', 'away_pos_code', 'away_name',
'away_tries', 'away_goals', 'away_fgoals', 'away_pts']
cells = row.findAll('td')
result = {k: v for k, v in zip(keys, [zero_bs4(td) for td in cells])}
return result
