def testReadFile(self):
rows = Ranking.read_tsv(TestData('qbs.tsv'))
self.assertEqual(['1', 'Aaron Rodgers', 'GB', 'vs. KC', '1', '1', '1', '0'],
rows[0])
self.assertEqual(['37','Jimmy Clausen','CHI','at SEA','34','34','34','0'],
rows[36])
self.assertEqual(37, len(rows))
def guess_points(player_name, position):
url = Ranking.create_standard_link(position)
rankings = Ranking.read_tsv(Ranking.download_rankings(url))
rank = rankings.index(player_name)
logging.info('{}\'s rest of season ranking is {}.'.format(player_name, rank+1))
db = PlayerDB()
year_scores = []
calc = Calculator(read_scoring_file(get_resource('standard.json')))
for year in range(2009, 2015):
year_scores.append(calc.sort_position(db.query_players_by_year(year), position))
avg_scores = average_lists(*year_scores)
avg_score = avg_scores[rank]
logging.info('On average (from 2009-2015) players that finished with the {}{} '
'most points scored {} points in a year, or {}/game.'
.format(rank+1, suffix(rank+1), avg_score, avg_score/16.0))
# TODO: What do we divide this number by? Not all players play 16 games
return avg_score / 16.0