#!/usr/bin/env python
# -*- encoding: utf-8 -*-
'''
@Author  :   liuyuqi
@Contact :   liuyuqi.gov@msn.cn
@Time    :   2020/02/23 20:21:23
@Version :   1.0
@License :   Copyright © 2017-2020 liuyuqi. All Rights Reserved.
@Desc    :   
'''

import pandas as pd
import datetime


def run():
    # df = pd.read_csv("disk_sample_smart_log_test_a.csv", nrows=4)
    df = pd.read_csv("disk_sample_smart_log_test_a.csv")
    print(df.iloc[[1]])
    res = df[["manufacturer", "model", "serial_number", "dt"]]
    res["dt"] = res['dt'].apply(
        lambda x: datetime.datetime.strptime(str(x), '%Y%m%d'))
    res["dt"] = res['dt'].apply(lambda x: x + datetime.timedelta(10))

    save(res)


def save(df: pd.DataFrame):
    df.to_csv("result.csv", header=None, encoding="utf8", index=False)


if __name__ == "__main__":
    run()