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A simple monitoring system written in Python
This article mainly introduces a simple monitoring system written in Python. This article describes the detailed Encoding steps and provides the corresponding implementation code. For more information, see
There are many open-source monitoring systems on the market: Cacti, nagios, and zabbix. I don't feel like it meets my needs. Why don't I do it myself?
I spent two hours using Python to prepare a simple monitoring system. I hope it will inspire you.
First, create a database table.
Create a database "falcon". The table creation statement is as follows:
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Create table 'STAT '( 'Id' int (11) unsigned not null AUTO_INCREMENT, 'Host' varchar (256) default null, 'Mem _ free' int (11) default null, 'Mem _ usage' int (11) default null, 'Mem _ total' int (11) default null, 'Load _ avg' varchar (128) default null, 'Time' bigint (11) default null, Primary key ('id '), KEY 'host' (255 )) ) ENGINE = InnoDB AUTO_INCREMENT = 0 default charset = utf8; |
First, we design a web service to implement the following functions:
1. Complete the monitoring page display
2. Accept the data submitted by POST
3. Provides the GET interface for json data
The directory structure is as follows:
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Web ── Flask_web.py └ ── Templates ── Mon.html [/Code] Flask_web.py [Code] Import MySQLdb as mysql Import json From flask import Flask, request, render_template App = Flask (_ name __) Db = mysql. connect (user = "reboot", passwd = "reboot123 ",\ Db = "falcon", charset = "utf8 ") Db. autocommit (True) C = db. cursor ()
@ App. route ("/", methods = ["GET", "POST"]) Def hello (): SQL = "" If request. method = "POST ": Data = request. json Try: SQL = "INSERT INTO 'STAT' ('host', 'mem _ free', 'mem _ usage', 'mem _ total', 'Load _ avg ', 'time') VALUES ('% s',' % d', '% s',' % D ') "% (data ['host'], data ['memfree'], data ['memusage'], data ['memtotal'], data ['loadavg'], int (data ['time']) Ret = c.exe cute (SQL) Couldn t mysql. IntegrityError: Pass Return "OK" Else: Return render_template ("mon.html ")
@ App. route ("/data", methods = ["GET"]) Def getdata (): C.exe cute ("SELECT 'time', 'mem _ usage' FROM 'STAT '") Ones = [[I [0] * 1000, I [1] for I in c. fetchall ()] Return "% s (% s);" % (request. args. get ('callback'), json. dumps (ones ))
If _ name _ = "_ main __": App. run (host = "0.0.0.0", port = 8888, debug = True) |
This templatepage is a copy of the highstocks' example, mon.html
For simplicity, we only display mem_usage information to the page.
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<Title> jb51.net </title> <! Doctype html> <Html> <Head> <Meta http-equiv = "Content-Type" content = "text/html; charset = UTF-8"> <Title> Highstock Example </title>
<Script type = "text/javascript" src = "http://ajax.googleapis.com/ajax/libs/jquery/1.8.2/jquery.min.js"> </script> <Style type = "text/css"> ${Demo.css} </Style> <Script type = "text/javascript"> $ (Function (){ $. GetJSON ('/data? Callback =? ', Function (data ){
// Create the chart $ ('# Iner'). highcharts ('stockchart ',{
RangeSelector :{ InputEnabled: $ ('# iner'). width ()> 480, Selected: 1 },
Title :{ Text: 'jb51. net' },
Series :[{ Name: 'jb51. net ', Data: data, Type: 'spline ', Tooltip :{ ValueDecimals: 2 } }] }); }); }); </Script> </Head> <Body> <Script src = "http://cdnjs.cloudflare.com/ajax/libs/highstock/2.0.4/highstock.js"> </script> <Script src = "http://code.highcharts.com/modules/exporting.js"> </script>
<Div id = "container" style = "height: 400px"> </div> </Body> </Html> |
The web display page is complete and runs:
Python flask_web.py listening on port 8888
We need to create an agent to collect data and upload the data to the database.
MoniItems. py
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#! /Usr/bin/env python Import inspect Import time Import urllib, urllib2 Import json Import socket
Class mon: Def _ init _ (self ): Self. data = {}
Def getTime (self ): Return str (int (time. time () + 8*3600)
Def getHost (self ): Return socket. gethostname ()
Def getLoadAvg (self ): With open ('/proc/loadavg') as load_open: A = load_open.read (). split () [: 3] Return ','. join ()
Def getMemTotal (self ): With open ('/proc/meminfo') as mem_open: A = int (mem_open.readline (). split () [1]) Returns a/1024
Def getMemUsage (self, noBufferCache = True ): If noBufferCache: With open ('/proc/meminfo') as mem_open: T = int (mem_open.readline (). split () [1]) F = int (mem_open.readline (). split () [1]) B = int (mem_open.readline (). split () [1]) C = int (mem_open.readline (). split () [1]) Return (T-F-B-C)/1024 Else: With open ('/proc/meminfo') as mem_open: A = int (mem_open.readline (). split () [1])-int (mem_open.readline (). split () [1]) Returns a/1024
Def getMemFree (self, noBufferCache = True ): If noBufferCache: With open ('/proc/meminfo') as mem_open: T = int (mem_open.readline (). split () [1]) F = int (mem_open.readline (). split () [1]) B = int (mem_open.readline (). split () [1]) C = int (mem_open.readline (). split () [1]) Return (F + B + C)/1024. Else: With open ('/proc/meminfo') as mem_open: Mem_open.readline () A = int (mem_open.readline (). split () [1]) Returns a/1024
Def runAllGet (self ): # Automatically obtain all the getXXX methods in the mon class, and use XXX as the key, and the return value of getXXX () as the value to construct the dictionary. For fun in inspect. getmembers (self, predicate = inspect. ismethod ): If fun [0] [: 3] = 'get ': Self. data [fun [0] [3:] = fun [1] () Return self. data
If _ name _ = "_ main __": While True: M = mon () Data = m. runAllGet () Print data Req = urllib2.Request ("http://bkjia.net: 8888", json. dumps (data), {'content-type': 'application/json '}) F = urllib2.urlopen (req) Response = f. read () Print response F. close () Time. sleep (60)
Nohup python moniItems. py>/dev/null 2> & 1 & run |
Visit http://jb51.net: 8888 to see our monitoring data:
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