def test_init(self, kwargs, msg_err):
        assert hasattr(homework, 'Record'), msg_err('add_class', 'Record')
        result = homework.Record(**kwargs)
        assert hasattr(result, 'amount'), msg_err('add_attr', 'amount',
                                                  'Record')
        assert result.amount == kwargs['amount'], msg_err(
            'wrong_attr', 'amount', 'Record')
        assert hasattr(result, 'comment'), msg_err('add_attr', 'comment',
                                                   'Record')
        assert result.comment == kwargs.get('comment', ''), msg_err(
            'wrong_attr', 'comment', 'Record')
        assert hasattr(result, 'date'), msg_err('add_attr', 'date', 'Record')
        if 'date' in kwargs:
            assert result.date == datetime.strptime(
                kwargs['date'],
                '%d.%m.%Y').date(), (msg_err('wrong_attr', 'date', 'Record',
                                             ', свойство должно быть датой'))
        else:
            assert result.date == datetime.now().date(), (msg_err(
                'wrong_attr', 'date', 'Record',
                ', свойство должно быть датой'))

        assert not hasattr(result, 'USD_RATE'), msg_err(
            'dont_create_attr', 'USD_RATE', 'Record')
        assert not hasattr(result, 'EURO_RATE'), msg_err(
            'dont_create_attr', 'EURO_RATE', 'Record')
def data_records():
    amount = 150
    count = random.randint(20, 40)
    today_count = random.randint(5, 10)
    week_count = random.randint(5, 10) + today_count
    data = []
    for idx, _ in enumerate(range(count)):
        if idx < today_count:
            date = datetime.now()
        elif idx < week_count:
            date = datetime.now() - timedelta(days=random.randint(1, 6))
        else:
            date = datetime(2019, 9, 1)
        data.append(
            homework.Record(amount=amount,
                            comment=f'Test {idx}',
                            date=date.strftime('%d.%m.%Y')))
    random.shuffle(data)
    return data, today_count * amount, week_count * amount