Python子进程调用挂起

时间:2013-08-16 13:00:52

标签: python python-2.7 subprocess

Python版本:2.6.7 我在for循环中有以下subprocess.call,它被执行了18次,但是,这个过程一直挂在第19个循环上:

if config.get_bool_option(NAME, 'exclude_generated_code', True):
            for conf in desc.iter_configs():
                for gen in desc.iter_generators(conf):
                    generator.initialize_generated_path(gen, desc)
                    for genpath in gen.generated_path:
                        os.rename(cov_file, cov_file+'.temp')
                        exclude = ['lcov']
                        exclude += ['-r', cov_file+'.temp', '"'+genpath+'/*"']
                        exclude += ['-o', cov_file]
                        if verbose: Tracer.log.info("Running "+ ' '.join(exclude))
                        try:
                            subprocess.call(' '.join(exclude), stdout=out, stderr=out, shell=True)
                        except subprocess.CalledProcessError, e:
                        if verbose: Tracer.log.info("TESTING: Got Exception \n") 

控制台输出如下所示:

Running lcov -r /remote/XXXXXX/coverage.19.temp "/remote/XXXXXX/xml/2009a/generated/*" -o /remote/XXXXX/gcov/coverage.19

由于我对python脚本不是很熟悉,所以我只是在闲逛,不管我在这里做错了什么......我怀疑某个地方出现了僵局......

stdout, stderr = process.communicate()会处理这些问题吗?

任何专家回答在哪种情况下subprocess.call会挂起吗? 非常感谢

1 个答案:

答案 0 :(得分:4)

使用子流程时,我倾向于这样做:

is_running = lambda: my_process.poll() is None

my_process = subprocess.Popen(' '.join(exclude), 
                              stdout=subprocess.PIPE, 
                              stderr=subprocess.PIPE,
                              shell=True)

# Grab all the output from stdout and stderr and log it
while is_running():
    rlist, wlist, xlist = select.select([my_process.stdout, my_process.stderr], [], [], 1)

# Log stdout, but don't spam the log
if my_process.stdout in rlist and verbose:
    # Adjust the number of bytes read however you like, 1024 seems to work 
    # pretty well for me. 
    Tracer.log.debug(my_process.stdout.read(1024))

# Log stderr, always
if my_process.stderr in rlist:
    # Same as with stdout, adjust the bytes read as needed.
    Tracer.log.error(my_process.stderr.read(1024))

我看过stdout的东西过去只是在我的日志中转储了一堆空行,这就是我在调试级别记录的原因。在开发过程中打印到我的日志,但从未在生产中写入,因此我可以放心地将其留在代码中进行调试,而不会在日志中放入垃圾。

希望这可以帮助揭露您的程序挂起的位置以及导致它的原因。

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