def calculate_averages(team, game_list):
average_stats = nfl_team_example_stats()
for game in game_list:
game_stats = nfl_local_data_handler().get_game(
game['HomeTeam'], game['AwayTeam'], int(game['Week']), int(game['Season']))
average_stats.increment_game_count()
average_stats.include_stats_in_average(team, game_stats)
return average_stats
def test_example_has_right_data_size(self):
"""
example should be the size of both teams history + two for the
score + any more for other items (e.g. DVOA, line, OU, weather...
"""
stats_for_example = nfl_team_example_stats()
number_of_dvoa_stats = nfl_dvoa_stats.num_dvoa_stats
number_of_stats_expected = \
len(stats_for_example.stats_to_average) * 2
number_of_stats_expected += number_of_dvoa_stats * 2
number_of_stats_expected += 2 # for expected score
number_of_stats_expected += 2 # for home and away team
number_of_stats_expected += 2 # for season and week
example = nfl_example_maker('SF', 'SEA', 2014, 13)
# print example.example
number_of_stats_found = len(example.example_data_dict)
self.assertEqual(number_of_stats_expected, number_of_stats_found)
