Psutil + Flask开发Linux /Windows系统监控

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简介

psutil 是一个跨平台库（http://pythonhosted.org/psutil）能够获取到系统运行的进程和系统利用率（包括CPU、内存、磁盘、网络等）信息。主要用来做系统监控，性能分析，进程管理。支持 Linux、Mac OS、Windows 系统。

本文以 psutil 模块获取系统信息开发一个监控 Windows /linux系统的平台。

技术选择

  • 监控的系统是 Windows /linux系统
  • 监控系统模块选择 psutil 模块
  • Web 框架选择的是 Flask 框架


技术准备

安装 Flask

Python:安装Flask

安装 psutil

windows/centos7: 

pip3 install psutil

centos8:

Centos 8 配置yum源、Centos 8安装psutil

获取系统信息

初始化

app.py: 


import psutil
import os, signal
from random import randrange

from flask import Flask, render_template, jsonify, request
import time

app = Flask(__name__, static_folder="templates")

cpu_percent_dict = {}
net_io_dict = {'net_io_time':[], 'net_io_sent': [], 'net_io_recv': [], 'pre_sent': 0, 'pre_recv': 0, 'len': -1}
disk_dict = {'disk_time':[], 'write_bytes': [], 'read_bytes': [], 'pre_write_bytes': 0, 'pre_read_bytes': 0, 'len': -1}

cpu_percent_dict = {}

网页模板

templates/list.html: 

<!DOCTYPE html>
<html lang="zh-CN">
  <head>
    <meta charset="utf-8">
    <meta http-equiv="X-UA-Compatible" content="IE=edge">
    <meta name="viewport" content="width=device-width, initial-scale=1">
    <title>基于psutil的系统监控工具</title>

    <link href="https://cdn.jsdelivr.net/npm/bootstrap@3.3.7/dist/css/bootstrap.min.css" rel="stylesheet">
  </head>


<body>
    <h1>{{title}}</h1>
     <table id="customers" class="table table-striped">
    <tr>
      <th>监测项</th>
      <th>数值</th>
    </tr>

    {% for key, value in my_dict.items() %}
    <tr>
      <td>{{ key }}</td>
      <td>{{ value}}</td>
    </tr>
    {% endfor %}
     </table>
</body>
</html>

CPU信息

通过 psutil 获取 CPU 信息 

@app.route("/cpu")
def cpu():
    for i in range(1,6):
        # 当前时间
        now = time.strftime('%H:%M:%S', time.localtime(time.time()))
        #  CPU 负载
        cpu_percent = psutil.cpu_percent()
        cpu_percent_dict[now] = cpu_percent
        time.sleep(0.3)

    # 保持在图表中 10 个数据
    if len(cpu_percent_dict.keys()) == 11:
        cpu_percent_dict.pop(list(cpu_percent_dict.keys())[0])

    return render_template('list.html', title="CPU使用情况",my_dict=cpu_percent_dict)

if __name__ == '__main__':#程序入口
    #app.run()#让应用运行在本地服务器上。
    app.run(debug=True,host='0.0.0.0') #允许任意网址访问本站

Python2022052702.png

内存

@app.route("/memory")
def memory():
    memory = psutil.virtual_memory()
    swap = psutil.swap_memory()
    sys={}
    sys['mem_total']= memory.total
    sys['mem_used']= memory.used
    sys['mem_free']= memory.free
    sys['swap_total']=swap.total
    sys['swap_used']=swap.used
    sys['swap_free']=swap.free
    sys['memory_percent']= memory.percent

    return render_template('list.html', title="内存使用情况",my_dict=sys)

效果：

Python2022052701.png


https://blog.csdn.net/ityouknow/article/details/105985451

磁盘

通过 psutil 获取磁盘大小、分区、使用率和磁盘IO


网卡

通过 psutil 获取网络接口和网络连接的信息


代码

app.py

import psutil
import os, signal
from random import randrange

from flask import Flask, render_template, jsonify, request
import time

app = Flask(__name__, static_folder="templates")

cpu_percent_dict = {}
net_io_dict = {'net_io_time':[], 'net_io_sent': [], 'net_io_recv': [], 'pre_sent': 0, 'pre_recv': 0, 'len': -1}
disk_dict = {'disk_time':[], 'write_bytes': [], 'read_bytes': [], 'pre_write_bytes': 0, 'pre_read_bytes': 0, 'len': -1}

cpu_percent_dict = {}

@app.route("/cpu")
def cpu():
    for i in range(1,6):
        # 当前时间
        now = time.strftime('%H:%M:%S', time.localtime(time.time()))
        #  CPU 负载
        cpu_percent = psutil.cpu_percent()
        cpu_percent_dict[now] = cpu_percent
        time.sleep(0.3)

    # 保持在图表中 10 个数据
    if len(cpu_percent_dict.keys()) == 11:
        cpu_percent_dict.pop(list(cpu_percent_dict.keys())[0])

    return render_template('list.html', title="CPU使用情况",my_dict=cpu_percent_dict)

@app.route("/memory")
def memory():
    memory = psutil.virtual_memory()
    swap = psutil.swap_memory()
    sys={}
    sys['mem_total']= memory.total
    sys['mem_used']= memory.used
    sys['mem_free']= memory.free
    sys['swap_total']=swap.total
    sys['swap_used']=swap.used
    sys['swap_free']=swap.free
    sys['memory_percent']= memory.percent

    return render_template('list.html', title="内存使用情况",my_dict=sys)

if __name__ == '__main__':#程序入口
    #app.run()#让应用运行在本地服务器上。
    app.run(debug=True,host='0.0.0.0') #允许任意网址访问本站

templates/list.html

templates/list.html: 

<!DOCTYPE html>
<html lang="zh-CN">
  <head>
    <meta charset="utf-8">
    <meta http-equiv="X-UA-Compatible" content="IE=edge">
    <meta name="viewport" content="width=device-width, initial-scale=1">
    <title>基于psutil的系统监控工具</title>

    <link href="https://cdn.jsdelivr.net/npm/bootstrap@3.3.7/dist/css/bootstrap.min.css" rel="stylesheet">
  </head>


<body>
    <h1>{{title}}</h1>
     <table id="customers" class="table table-striped">
    <tr>
      <th>监测项</th>
      <th>数值</th>
    </tr>

    {% for key, value in my_dict.items() %}
    <tr>
      <td>{{ key }}</td>
      <td>{{ value}}</td>
    </tr>
    {% endfor %}
     </table>
</body>

效果

Python2022052702.png

Python2022052701.png

参考文档 : https://blog.csdn.net/ityouknow/article/details/105985451

取自“http://www.openbrains.net/mediawiki/index.php?title=Psutil_%2B_Flask开发Linux_/Windows系统监控&oldid=30756”