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)