root_path, CURRENT_WEEK)
sources['names'] = '%s/constants/names.txt' % root_path
sources['last_week'] = '%s/output/results-week%s.csv' % (root_path,
CURRENT_WEEK - 1)
sources['conferences'] = '%s/constants/conferences.txt' % root_path
sources['records'] = '%s/output/standings-week%s.csv' % (root_path,
CURRENT_WEEK)
data = {}
for key, sourcefile in sources.items():
with open(sourcefile) as f:
data[key] = list(f)
teams = Team.build_teams_from_file(sources['names'])
conference_flairs = build_conference_flairs(data['conferences'])
dropped_out = Team.set_last_week(data['last_week'], teams)
for data_line in data['power']:
raw_data = read_power_line(data_line)
team = process_power_name(raw_data['name'])
if team in POWER_NAMES:
team = POWER_NAMES[team]
teams[team].set_power_mean(raw_data['mean'])
for data_line in data['performance']:
raw_data = read_performance_line(data_line)
raw_name = raw_data['name']
if raw_name in PERFORMANCE_NAMES:
name = PERFORMANCE_NAMES[raw_name]
else:
name = find_match(raw_name, teams)
