import time
import pymysql


def get_time():
    time_str= time.strftime("%Y{}%m{}%d{} %X")
    return time_str.format("年","月","日")
    pass

def get_conn():
    conn =pymysql.connect(host="localhost",
                          user="root",
                          password="130031",
                          db="cov2019",
                          charset="utf8"   )

    cursor=conn.cursor()
    return conn,cursor

def close_conn(conn,cursor):
    cursor.close()
    conn.close()

def query(sql,*args):
    conn,cursor=get_conn()
    cursor.execute(sql,args)
    res=cursor.fetchall()
    close_conn(conn,cursor)
    return res

def get_m1_data():

    sql="select sum(现有确诊),sum(累计确诊),sum(疑似病例),sum(累计死亡),sum(累计治愈)" \
        "from chinadetail " \
        "where 日期=(select 日期 from chinadetail order by 日期 desc limit 1)"
    res=query(sql)
    return res[0]

def get_m2_data():

    sql="select 省名,sum(累计确诊)" \
        "from chinadetail " \
        "where 日期=(select 日期 from chinadetail order by 日期 desc limit 1)" \
        "group by 省名"
    res=query(sql)
    return res

def get_l1_data():

    sql="select 日期,现有确诊,累计确诊,累计死亡,累计治愈 from chinatotal "
    res=query(sql)
    return res

def get_r1_data():
    sql="select * from (select 省名,sum(现有确诊) a from chinadetail where 日期=(select 日期 from chinadetail order by 日期 desc limit 1)" \
        "group by 省名 order by a desc)r" \
        "where limit 5"
    res=query(sql)
    return res

def get_r2_data():

    sql="select sum(现有确诊),sum(累计确诊),sum(疑似病例),sum(累计死亡),sum(累计治愈)" \
        "from chinadetail " \
        "where 日期=(select 日期 from chinadetail order by 日期 desc limit 1)"
    res=query(sql)
    return res[0]

if __name__ == '__main__':
    print(get_time())
    print(get_r1_data())