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。
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,而不是再次正常工作。
暂停的原因是什么。?
我怎样才能防止它。?
重要笔记:
全码:
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())
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运行:python file.py <process name>
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
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我使用以下最小示例来重现您的问题:
import time
while True:
print(time.ctime())
time.sleep(2)
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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:
python test.py
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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:
python test.py > out.log 2> err.log
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或者在 PowerShell 中:
python test.py
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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。在这两个控制台中,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)。
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