monitors


Namemonitors JSON
Version 1.1.2 PyPI version JSON
download
home_pagehttps://github.com/openutx
Summarymonitor tools
upload_time2023-05-05 13:22:54
maintainer
docs_urlNone
authorlijiawei
requires_python
licenseMIT Licence
keywords grafana monitors process monitor system monitor influxdb
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # monitors


[![Build Status](https://travis-ci.com/Pactortester/monitors.svg?branch=master)](https://travis-ci.com/Pactortester/monitors) ![PyPI](https://img.shields.io/pypi/v/monitors) ![PyPI - Python Version](https://img.shields.io/pypi/pyversions/monitors) ![GitHub top language](https://img.shields.io/github/languages/top/Pactortester/monitors) [![Downloads](https://pepy.tech/badge/monitors)](https://pepy.tech/project/monitors) ![GitHub stars](https://img.shields.io/github/stars/Pactortester/monitors?style=social) ![https://blog.csdn.net/flower_drop](https://img.shields.io/badge/csdn-%40flower__drop-orange)


## Logo


![](https://files.mdnice.com/user/17535/0ce07240-b2ea-4739-aede-b67a2bc8b757.png)


##  仓库地址:


- github:https://github.com/Pactortester/monitors.git
- pypi:https://pypi.org/project/monitors/#history

## 背景介绍
专项测试,桌面端应用程序使用过程中,对CPU,内存,磁盘使用率,网络流量进行监控并展现.

## 解决方案

### 需求梳理
1. 简单方便 傻瓜式操作
2. 数据持久化,数据可保存
3. 数据可视化,清晰明了

解决方案来了,如下
>minitor作为监控服务,influxdb做为数据收集,Grafana图表可视化展示,干就完了!

## 前提准备
1. 你需要安装好 influxdb
2. 你还需要安装好 grafana

>看到这,你是不是又慌乱了,怎么还需要这么多准备工作。莫慌,教程都给你准备好了,乖,张开嘴,吃~

- [Linux下安装配置Grafana压测监控服务-安装InfluxDB
](https://mp.weixin.qq.com/s?__biz=MzIxMjE1ODAzOA==&mid=2650631463&idx=1&sn=cc3125d39b5559eca88a23ed1e7164d9&chksm=8f439e1eb83417083a98da8bd717fcfe2f5399e4f6c7ec031be61812562544956256965182d7&token=430212778&lang=zh_CN#rd)
- [Linux下安装配置Grafana压测监控服务-安装Grafana](https://mp.weixin.qq.com/s?__biz=MzIxMjE1ODAzOA==&mid=2650631478&idx=1&sn=df8f41d086d7421400e9ea4673d9f3cc&chksm=8f439e0fb834171908af65152a9b4de25f648809f5dea1877a650835f968732540c9bd34d744&token=430212778&lang=zh_CN#rd)

## 安装服务
```
pip install -U monitors
```


## 启动服务

```python
# -*- coding: utf-8 -*-
"""
@Project :monitors 
@File    :monitor.py
@Author  :lijiawei
@Date    :2021/9/6 4:13 下午 
"""

from monitors.monitor_set import Settings as ST
import argparse


parser = argparse.ArgumentParser(description='manual to this script')
parser.add_argument("-name", type=str)

args = parser.parse_args()
name = args.name

# 服务端ip
ST.host = '127.0.0.1'
# influxdb 端口
ST.port = 8086
# influxdb 账号
ST.password = '*********'
# influxdb 数据库
ST.database = 'test_database'
# Grafana apikey
ST.apikey = '********'
# influxdb 表
ST.table = name

from monitors.monitor_util import monitor_on

monitor_on()
```


>注意:脚本内容禁止任何修改!

## 运行命令

```
python monitor.py -name=test_monitor

```

![](https://files.mdnice.com/user/17535/315d2617-bcbc-4497-a258-effa717d6521.png)

>参数说明:name 必须为唯一值

## 查看结果

打开 Grafana url 登录后 查看监控图表

![](https://files.mdnice.com/user/17535/aaa6a355-d8e6-4847-9049-474a45040989.png)

>Grafana账号密码:test/test

## 停止监控
按下 CTRL + C,监控服务已停止!


![](https://files.mdnice.com/user/17535/dce8bbb5-2a5c-4ac6-abac-4f9f8c43a620.png)

## 后续方案

在推广使用过程中,发现尽管已经做的如此简单,还是有同学不会使用,一步三个坑,后续我计划把【minitors】监控服务,打包成可执行文件,有完整的页面交互,防止大家掉坑!

## 视频分析

```
          点击应用图标              弹窗1   关闭弹窗1     欢迎页     滑动欢迎页    弹窗2    关闭弹窗2   首页
              ^                     ^                   ^                     ^                  ^ 
              |                     |                   |                     |                  |
              |---------logo1-------|-------logo2-------|--------.......------|------......------|

稳定阶段(个): 2         1          1         1          1                     1                  2

              |                     |                   |                     |                  |
              v                     v                   v                     v                  v
              A                     B                   C                     D                  E
```

## 

以上便是 monitors 的基本用法介绍。

如果您有发现错误,或者您对 monitors 有任何建议,欢迎到 [monitors Issues](https://github.com/Pactortester/monitors/issues) 发表,非常感谢您的支持。您的反馈和建议非常宝贵,希望您的参与能帮助 monitors 做得更好。

            

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    "description": "# monitors\n\n\n[![Build Status](https://travis-ci.com/Pactortester/monitors.svg?branch=master)](https://travis-ci.com/Pactortester/monitors) ![PyPI](https://img.shields.io/pypi/v/monitors) ![PyPI - Python Version](https://img.shields.io/pypi/pyversions/monitors) ![GitHub top language](https://img.shields.io/github/languages/top/Pactortester/monitors) [![Downloads](https://pepy.tech/badge/monitors)](https://pepy.tech/project/monitors) ![GitHub stars](https://img.shields.io/github/stars/Pactortester/monitors?style=social) ![https://blog.csdn.net/flower_drop](https://img.shields.io/badge/csdn-%40flower__drop-orange)\n\n\n## Logo\n\n\n![](https://files.mdnice.com/user/17535/0ce07240-b2ea-4739-aede-b67a2bc8b757.png)\n\n\n##  \u4ed3\u5e93\u5730\u5740\uff1a\n\n\n- github\uff1ahttps://github.com/Pactortester/monitors.git\n- pypi\uff1ahttps://pypi.org/project/monitors/#history\n\n## 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grafana\n\n>\u770b\u5230\u8fd9\uff0c\u4f60\u662f\u4e0d\u662f\u53c8\u614c\u4e71\u4e86\uff0c\u600e\u4e48\u8fd8\u9700\u8981\u8fd9\u4e48\u591a\u51c6\u5907\u5de5\u4f5c\u3002\u83ab\u614c\uff0c\u6559\u7a0b\u90fd\u7ed9\u4f60\u51c6\u5907\u597d\u4e86\uff0c\u4e56\uff0c\u5f20\u5f00\u5634\uff0c\u5403\uff5e\n\n- [Linux\u4e0b\u5b89\u88c5\u914d\u7f6eGrafana\u538b\u6d4b\u76d1\u63a7\u670d\u52a1-\u5b89\u88c5InfluxDB\n](https://mp.weixin.qq.com/s?__biz=MzIxMjE1ODAzOA==&mid=2650631463&idx=1&sn=cc3125d39b5559eca88a23ed1e7164d9&chksm=8f439e1eb83417083a98da8bd717fcfe2f5399e4f6c7ec031be61812562544956256965182d7&token=430212778&lang=zh_CN#rd)\n- [Linux\u4e0b\u5b89\u88c5\u914d\u7f6eGrafana\u538b\u6d4b\u76d1\u63a7\u670d\u52a1-\u5b89\u88c5Grafana](https://mp.weixin.qq.com/s?__biz=MzIxMjE1ODAzOA==&mid=2650631478&idx=1&sn=df8f41d086d7421400e9ea4673d9f3cc&chksm=8f439e0fb834171908af65152a9b4de25f648809f5dea1877a650835f968732540c9bd34d744&token=430212778&lang=zh_CN#rd)\n\n## \u5b89\u88c5\u670d\u52a1\n```\npip install -U monitors\n```\n\n\n## \u542f\u52a8\u670d\u52a1\n\n```python\n# -*- coding: utf-8 -*-\n\"\"\"\n@Project \uff1amonitors \n@File    \uff1amonitor.py\n@Author  \uff1alijiawei\n@Date    \uff1a2021/9/6 4:13 \u4e0b\u5348 \n\"\"\"\n\nfrom monitors.monitor_set import Settings as ST\nimport argparse\n\n\nparser = argparse.ArgumentParser(description='manual to this script')\nparser.add_argument(\"-name\", type=str)\n\nargs = parser.parse_args()\nname = args.name\n\n# \u670d\u52a1\u7aefip\nST.host = '127.0.0.1'\n# influxdb \u7aef\u53e3\nST.port = 8086\n# influxdb \u8d26\u53f7\nST.password = '*********'\n# influxdb \u6570\u636e\u5e93\nST.database = 'test_database'\n# Grafana apikey\nST.apikey = '********'\n# influxdb \u8868\nST.table = name\n\nfrom monitors.monitor_util import monitor_on\n\nmonitor_on()\n```\n\n\n>\u6ce8\u610f\uff1a\u811a\u672c\u5185\u5bb9\u7981\u6b62\u4efb\u4f55\u4fee\u6539\uff01\n\n## \u8fd0\u884c\u547d\u4ee4\n\n```\npython monitor.py 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