import csv
from collections import namedtuple

with open('data.csv', encoding='utf8') as data:
    table = csv.DictReader(data, delimiter=';')
    print(table.fieldnames)
    users = {}
    name_by_id = {}
    for info in table:
        name_by_id[info['User_Id']] = info['User_Name']
        if info['User_Inv'] == 'I' or info['Stat_Short'] == 'CE':
            continue
        if info['User_Id'] not in users:
            users[info['User_Id']] = dict()
        if info['Prob'] not in users[info['User_Id']]:
            users[info['User_Id']][info['Prob']] = {'st': '_', 'penalty': 0}
        if users[info['User_Id']][info['Prob']]['st'] == 'OK':
            continue
        else:
            if info['Stat_Short'] == 'OK':
                users[info['User_Id']][info['Prob']]['st'] = 'OK'
                users[info['User_Id']][info['Prob']]['penalty'] += int(info['Dur'])
                continue
            users[info['User_Id']][info['Prob']]['penalty'] += 20 * 60
    ans = []
    user = namedtuple(['name', 'cnt', 'penalty'])
    for name in users:
        cnt, penalty = 0, 0
        for prob in name.values():
            if prob['st'] == 'OK':
                cnt += 1
                penalty += prob['penalty']
        ans.append(user(name_by_id[name], cnt, penalty))
    ans.sort(key=lambda x: ())