一个python的性能检测脚本-优快云博客

本文介绍了一个Python脚本，该脚本通过调用top命令并解析其输出来周期性地记录系统的内存和CPU使用情况。记录的信息被保存到指定的日志文件中，并在运行过程中监控与top命令相关的进程。

摘要生成于 C知道，由 DeepSeek-R1 满血版支持，前往体验 >


   def process(self):

        logger = logging.getLogger() 
        hdlr = logging.FileHandler('C:\pt.log') 
        formatter = logging.Formatter('[%(asctime)s]%(levelname)-8s"%(message)s"','%Y-%m-%d %a %H:%M:%S')
        hdlr.setFormatter(formatter) 
        logger.addHandler(hdlr) 
        logger.setLevel(logging.INFO)
        timesum = 3600
        countsum = 0
        while(timesum > 0):           
            result = self.keywords.fileop.executeCommand('top -b -d 1 -n 2 | grep \'Mem\|Cpu\' |awk \'{if(NR==3) print }\'')
            logger.info(result)
            result = self.keywords.fileop.executeCommand('top -b -d 1 -n 2 | grep \'Mem\|Cpu\' |awk \'{if(NR==4) print }\'')
            logger.info(result)

            time.sleep(120)
            timesum = timesum - 120

        result = self.keywords.fileop.executeCommand('top -b -d 1 -n 2 | grep \'Mem\|Cpu\' |awk \'{if(NR==3) print }\'')
        logger.info(result)
        result = self.keywords.fileop.executeCommand('top -b -d 1 -n 2 | grep \'Mem\|Cpu\' |awk \'{if(NR==4) print }\'')
        logger.info(result)
        result = self.keywords.fileop.executeCommand(self.keywords.test_dir + 'count.sh')
        logger.info(result)
        logger.info('countSume = :' + str(countsum))
        pids = self.keywords.fileop.executeCommand("ps aux|grep top |awk '{printf \" \"$2}'")
        pidlist = pids.split(' ')
        for i in pidlist:
            if i is not pidlist[0]:
                result = self.keywords.fileop.executeCommand('kill -9 ' + i)
                self.keywords.writeLineFormated(result)
        self.keywords.fileop.closeAllConnections()
#        t.pleaseStop()
        return True