获取分离子进程的返回码?
Posted
技术标签:
【中文标题】获取分离子进程的返回码?【英文标题】:Get returncode of a detached subprocess? 【发布时间】:2020-10-04 22:56:09 【问题描述】:我正在尝试为作业调度程序编写提交程序。由于我不知道作业何时到来以及作业将运行多长时间,所以我使用多处理为每个作业生成一个进程,并分离以处理下一个作业。同时这工作得很好,但是我想在工作完成后得到返回码,这可能吗?我尝试了几个子进程变体,但那些返回 RC 的进程在作业运行时阻塞了进程。
#!/usr/bin/python3
# coding=utf-8
import time
import multiprocessing
import subprocess
JobsList = []
def SubmitJob(jobname):
""" Submit the next requested job """
print(f"Starting job jobname...")
JobDir ="/home/xxxxx/Jobs/"
JobMem = ".sh".format(JobDir, jobname)
SysoutFile = "./Sysout/.out".format(jobname)
fh = open(SysoutFile, 'w')
kwargs =
kwargs.update(start_new_session=True)
p = subprocess.Popen(JobMem, shell = False, stdout = fh, **kwargs)
pid = p.pid
print(f"Job jobname pid pid submitted...")
def PrepareSubmit():
""" Create and start one process per job """
jobs = []
for Job in JobsList:
process = multiprocessing.Process(target=SubmitJob,
args=(Job,))
jobs.append(process)
JobsList.remove(Job)
for j in jobs:
j.start()
for j in jobs:
j.join()
print("All jobs submitted...")
def main():
""" Check queue for new job requests """
number_of_lines = 0
jobs_list = []
while 1:
job_queue = open("/home/xxxxx/Development/Python/#Projects/Scheduler/jobs.que", 'r')
lines = job_queue.readlines()
if len(lines) > number_of_lines:
jobs_list.append(lines[len(lines)-1])
NewJob = lines[len(lines)-1][:-1]
JobsList.append(NewJob)
PrepareSubmit()
number_of_lines = number_of_lines+1
time.sleep(1)
if __name__ == "__main__":
main()
main() 中的 while 循环仅用于测试目的。
谁能告诉我这是否可能以及如何?提前致谢。
这是给我返回码但在前一个作业完成之前不会发送作业的代码。所以如果我有一个长时间运行的作业,它会延迟运行作业的过程,我称之为阻塞。
def Submit(job):
""" Submit the next requested job """
print(f"Starting job job...")
JobDir ="/home/uwe/Jobs/"
JobMem = ".sh".format(JobDir, job)
SysoutFile = "./Sysout/.out".format(job)
fh = open(SysoutFile, 'w')
kwargs =
kwargs.update(start_new_session=True)
p = subprocess.Popen(JobMem, shell = False, stdout = fh, **kwargs)
pid = p.pid
while p.poll() == None:
a = p.poll()
print(a)
time.sleep(1)
else:
rc = p.returncode
print(f"PID: pid rc: rc")
def main():
JobsList = ['JOB90501','JOB00001','JOB00002','JOB00003']
for Job in JobsList:
Submit(Job)
Roy,这是你最后一次提示后我当前的代码:
def SubmitJob(jobname):
""" Submit the next requested job """
JobDir ="/home/uwe/Jobs/"
JobMem = ".sh".format(JobDir, jobname)
SysoutFile = "./Sysout/.out".format(jobname)
fh = open(SysoutFile, 'w')
kwargs =
kwargs.update(start_new_session=True)
p = subprocess.Popen(JobMem, shell = False, stdout = fh, **kwargs)
ProcessList[p] = p.pid
print(f"Started job jobname - PID: p.pid")
def main():
c_JobsList = ['JOB00001','JOB00002','JOB00003']
for Job in c_JobsList:
SubmitJob(Job)
for p, pid in ProcessList.items():
RcFile = "./Sysout/.rc".format(pid)
f = open(RcFile, 'w')
while p.poll() == None:
a = p.poll()
time.sleep(1)
else:
rc = p.returncode
f.writelines(str(rc))
print(f"PID: pid rc: rc")
f.close()
和输出:
Started job JOB00001 - PID: 5426
Started job JOB00002 - PID: 5427
Started job JOB00003 - PID: 5429
PID: 5426 rc: 0
PID: 5427 rc: 0
PID: 5429 rc: 8
【问题讨论】:
【参考方案1】:编辑(下面的原始答案供将来参考)
用于此目的的 natuaram 是 Popen.poll
,但显然它在某些情况下不起作用(请参阅 https://lists.gt.net/python/bugs/633489)。我想提出的解决方案是使用具有非常短超时的Popen.wait
,如以下代码示例所示:
import subprocess
import time
p = subprocess.Popen(["/bin/sleep", "3"])
print(f"Created process p.pid")
count = 0
while True:
try:
ret = p.wait(.001) # wait for 1 ms
print(f"Got a return code ret")
break
except subprocess.TimeoutExpired as e:
print("..", end = "")
time.sleep(.5)
print(f"Still waiting, count is count")
count += 1
print ("Done!")
我得到的输出是:
Created process 30040
..Still waiting, count is 0
..Still waiting, count is 1
..Still waiting, count is 2
..Still waiting, count is 3
..Still waiting, count is 4
..Still waiting, count is 5
Got a return code 0
Done
最初的想法 - Popen.poll
您应该使用的方法是Popen.poll
(documentation)。它返回进程的退出状态,如果它仍在运行,则返回None
。
要使用它,您必须保留在调用 subprocess.Popen
时获得的“popen”对象,稍后在这些对象上使用 poll
。
【讨论】:
罗伊,感谢您的回答。这是我尝试过的变体之一。当我在 Popen 之后 poll() 时,进程阻塞并且下一个作业只能在前一个作业完成后开始。我想立即开始下一个过程,稍后再拿到 rc。 嗯。显然,民意调查 (lists.gt.net/python/bugs/633489) 存在问题。我有另一个使用等待超时的解决方案 - 我会在一分钟内添加代码。 @UweB - 这能解决您面临的挑战吗? 罗伊,这也阻塞了子进程进程,使多进程无法在job1之后立即提交job2。 您使用的是什么操作系统和 Python 版本?以上是关于获取分离子进程的返回码?的主要内容,如果未能解决你的问题,请参考以下文章