Python 在一段时间后挂起，按 [Enter] 时继续 [英] Python hangs after some time, Continues when pressed [Enter]

问题描述

我制作了一个 python 脚本，它每 2 秒打印和记录一次特定进程的 CPU % 和内存使用情况.

I have made a python script which prints and logs CPU % and memory usage of a particular process every 2 seconds.

它工作得很好.直到我去休息.(一小时后)当我再次检查时，python 脚本已暂停(或挂起).当我按下 [Enter] 时，它又像往常一样开始执行.该脚本工作正常 1 小时.然后日志和输出丢失了 1 小时 30 分钟，并且没有再次正常工作.

It was working pretty fine. Until I went for a break. (after one hour) When I check again, the python script was paused (or hung). When I pressed [Enter], it started executing again as usual. The script worked fine for 1 hour. Then the log and output were missing for 1hour 30 minutes and not it is working fine again.

暂停的原因是什么?

我该如何预防?

重要说明:

• 我在使用 RDP(远程桌面)的机器上工作.但是连接在一个小时后仍然正常运行.
• VM 的操作系统为:Windows Server 2016.
• 正在命令提示符中运行脚本.
• logger.txt"中没有错误.
• 我正在监控 powershell.exe
• 当我监视除 powershell.exe 之外的任何其他进程时，脚本不会挂起(我使用 python.exe 和 taskmgr.exe 进行了测试)
• powershell 进程确实在运行.我检查了 Powershell 脚本的日志，它一直在运行.

完整代码:

import psutil
import re
import math
import traceback
from time import ctime,sleep,localtime,time
import requests
from requests.packages.urllib3.exceptions import InsecureRequestWarning
requests.packages.urllib3.disable_warnings(InsecureRequestWarning)

import sys

def logg(msg):
    msg_parsed = str(ctime()) + " : " + str(msg)
    with open("logger.txt","a") as ff:
        ff.write("\n" + msg_parsed)

def aprint(msg, process="", counter = "" , pos=0,size=90):
    def sprint(msg):
        if not pos:
            print(msg)
        elif pos==1:
            print("|" + msg[0:size] + " "*(size- (len(msg[0:size]))) + "|" + " "*size+"|")
        elif pos==2:
            print("|"  + " "*size+"|" + msg[0:size] + " "*(size- (len(msg[0:size]))) + "|")


    msg = str(ctime()) + " : " + str(process) + " : " + counter + " : " + str(msg)
    sprint(msg)
    if counter or process:
        f = open("_".join((counter.replace(" ",""), process.replace(" ",""))) +".log", "a")
    else:
        f = open("perf.log", "a")
    f.write(msg+"\n")
    f.close()

    try:
        res = requests.post("https://localhost:8088/services/collector", headers={"Authorization": "Splunk 1b61f1eb-e29f-4d29-9f70-b7f88bcd5b65"}, data='{"time": %d , "index":"main","sourcetype": "FIFA:%s", "event":"%s"}' % (time(),counter,msg), verify = False)
        if "Success" not in res.text:
            sprint("[WARNING]")
            logg(" WARNING : " + res.text)

    except Exception as eee:
        sprint("[ERROR]")
        logg(msg + " ::: coulld not sent :::" + str(eee))
        logg(traceback.print_exc())


def convert_size(size_bytes):
   if size_bytes == 0:
       return "0B"
   size_name = ("B", "KB", "MB", "GB", "TB", "PB", "EB", "ZB", "YB")
   i = int(math.floor(math.log(size_bytes, 1024)))
   p = math.pow(1024, i)
   s = round(size_bytes / p, 2)
   return "%s %s" % (s, size_name[i])


while True: 
    try:
        rrs =0
        cpptime = 0
        leave = False
        matched = None
        for proc in psutil.process_iter():
            if re.match(sys.argv[1].lower(),proc.name().lower()):
                leave = True
                matched = proc.name()
                rrs = max(rrs, proc.memory_info().rss)
                cpptime = max(proc.cpu_percent()/psutil.cpu_count(), cpptime)
        if matched:
            aprint( convert_size(rrs), matched ,"Memory" , pos=1)
            aprint( cpptime , matched ,"CPU", pos=2)

        try:
            sleep(2)

        except:
            break
    except Exception as ee:
        print(" [ERROR] :  " + str(ee))
        logg(ee)
        logg(traceback.print_exc())

运行:python file.py <进程名称>例如:python file.py python

日志文件:

Mon Jun 18 12:46:30 2018 : powershell.exe : memory : 2.29 GB
Mon Jun 18 12:46:33 2018 : powershell.exe : memory : 2.29 GB
Mon Jun 18 12:46:37 2018 : powershell.exe : memory : 2.29 GB
Mon Jun 18 12:46:40 2018 : powershell.exe : memory : 2.29 GB
Mon Jun 18 12:46:43 2018 : powershell.exe : memory : 2.29 GB
Mon Jun 18 12:46:46 2018 : powershell.exe : memory : 2.3 GB
Mon Jun 18 12:46:49 2018 : powershell.exe : memory : 2.3 GB
Mon Jun 18 12:46:53 2018 : powershell.exe : memory : 2.3 GB
Mon Jun 18 12:46:56 2018 : powershell.exe : memory : 2.3 GB
Mon Jun 18 12:46:59 2018 : powershell.exe : memory : 2.31 GB
Mon Jun 18 14:17:33 2018 : powershell.exe : memory : 3.11 GB
Mon Jun 18 14:17:38 2018 : powershell.exe : memory : 3.11 GB
Mon Jun 18 14:17:41 2018 : powershell.exe : memory : 3.11 GB
Mon Jun 18 14:17:44 2018 : powershell.exe : memory : 3.11 GB
Mon Jun 18 14:17:47 2018 : powershell.exe : memory : 3.11 GB
Mon Jun 18 14:17:50 2018 : powershell.exe : memory : 3.11 GB
Mon Jun 18 14:17:53 2018 : powershell.exe : memory : 3.11 GB

设置:

推荐答案

我使用以下最小示例来重现您的问题:

I used the following minimal example to reproduce your problem:

import time
while True:
    print(time.ctime())
    time.sleep(2)

它只是每两秒打印一次时间.我使用以下命令从 cmd 运行此脚本:

It just prints the time every two seconds. I ran this script from cmd using the following command:

python test.py

唯一停止脚本的事情是当我点击进入控制台并进入选择"模式以突出显示并从中复制文本时.所以也许你只是在休息时不小心点击了 cmd.您可以通过重定向输出来防止这种行为.在 cmd 中使用它:

The only thing that stopped the script, was when I clicked into into the console and entered the "selection" mode to highlight and copy text from it. So maybe you just accidentally clicked into the cmd, when you went to your break. You can prevent that behaviour by just redirecting the output. Use this in cmd:

python test.py > out.log 2> err.log

或者在 PowerShell 中:

or this in PowerShell:

Start-Process python -ArgumentList "test.py" -RedirectStandardOutput out.log -RedirectStandardError err.log -NoNewWindow -Wait

重定向输出和错误流.像这样调用python，进入选择模式将不再暂停脚本的执行.在两个控制台中，您仍然可以随时按 CTRL+C 终止脚本(因此它不是后台进程，这也是一个解决方案).

to redirect both, the output and the error stream. Calling python like that, entering the selection mode will not pause the execution of your script anymore. In both consoles, you can still terminate the script by pressing CTRL+C at any time (so it is not a background process, which would be a solution, too).

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