python实时监控服务器性能

监控服务器各项性能指标，以下为监控测试流程

1、mysql数据库插入数据

1.1 大家要首先在服务器上安装一个mysql，此项略。。。

1.2 登录mysql新建一个cpu库和cpu表

1.3  连接数据库，代码如下

import pymysql
class Conn:
    def __init__(self):
        self.connect = pymysql.connect(
            host = "192.168.1.124",
            port = 3306,
            user = "root",
            passwd = "testmysql",
            db = "cpu",
            charset = "utf8"
        )
        self.cur = self.connect.cursor()

    def insert(self,data):
        sql = "insert into cpu(cpu_idle,memory_used,memory_free,disk_C_free) values ('%s','%s','%s','%s')"
        self.cur.execute(sql%data)
        # self.connect.close()
        self.connect.commit()

# if __name__ == '__main__':
#     v = Conn()
#     data = (23,45,56,67)
#     print(1)
#     v.insert(data)
#     print(2)

2、收集服务器数据（此测试本机为样本）

import  time
from TEST.test import Conn
import psutil
def Getdata():
    while 1:
        cpu_idle = psutil.cpu_times().idle
        cpu_idle = cpu_idle/1000

        memory_used = psutil.virtual_memory().used
        memory_used = memory_used/(1000**3)

        memory_free = psutil.virtual_memory().free
        memory_free = memory_free/(1000**3)

        disk_C_free = psutil.disk_usage("C://").free
        disk_C_free = disk_C_free/(1000**3)

        date = (round(cpu_idle,2),round(memory_used,2),round(memory_free,2),round(disk_C_free,2))
        v = Conn()
        v.insert(date)
        time.sleep(5)
        print(date)
Getdata()

3、验证

可以在数据库中查看是否能正常插入数据