Sometimes, you just want to run a system command from python and capture its output. Currently, the standard way to do this is to call the subprocess.Popen with convenient arguments and use the communicate method. After writing such code a few times, I wrote this little Command class to ease the process. Its functionalities are limited, but in many cases, it does just what you need :)
class Command(object): """Run a command and capture its output string, error string and exit status""" def __init__(self, command): self.command = command def run(self, shell=True): import subprocess as sp process = sp.Popen(self.command, shell = shell, stdout = sp.PIPE, stderr = sp.PIPE) self.pid = process.pid self.output, self.error = process.communicate() self.failed = process.returncode return self @property def returncode(self): return self.failed """ Example: >>> import random >>> com = Command("python " + random.__file__).run() >>> com.command 'python /usr/lib64/python2.6/random.pyc' >>> com.failed # This is the same as com.returncode 0 >>> com.error # a string containing the command's output to sderr '' >>> com.output # a string containing the command's output to stdout '2000 times random\n0.002 sec, avg 0.500354, stddev 0.286243, min 4.19235e-05, max 0.999824\n2000 times normalvariate\n0.005 sec, avg -0.0456954, stddev 1.01618, min -4.34149, max 3.71569\n2000 times lognormvariate\n0.006 sec, avg 1.67582, stddev 2.1577, min 0.0130835, max 27.6211\n2000 times vonmisesvariate\n0.008 sec, avg 0.000978862, stddev 1.27699, min -3.12997, max 3.13102\n2000 times gammavariate\n0.005 sec, avg 0.0117903, stddev 0.113468, min 0, max 3.18164\n2000 times gammavariate\n0.006 sec, avg 0.100394, stddev 0.303206, min 2.25924e-41, max 4.31051\n2000 times gammavariate\n0.006 sec, avg 0.156527, stddev 0.474151, min 9.58065e-32, max 6.93513\n2000 times gammavariate\n0.006 sec, avg 0.461281, stddev 0.622641, min 4.32974e-07, max 5.10383\n2000 times gammavariate\n0.006 sec, avg 0.882037, stddev 0.927279, min 0.000321367, max 8.67581\n2000 times gammavariate\n0.004 sec, avg 1.03357, stddev 1.05707, min 0.000607494, max 9.39937\n2000 times gammavariate\n0.009 sec, avg 1.98497, stddev 1.37387, min 0.0361573, max 8.97308\n2000 times gammavariate\n0.024 sec, avg 20.0889, stddev 4.46901, min 9.03523, max 37.661\n2000 times gammavariate\n0.008 sec, avg 200.137, stddev 13.8219, min 152.049, max 252.718\n2000 times gauss\n0.005 sec, avg -0.0116195, stddev 1.01896, min -3.50421, max 3.81432\n2000 times betavariate\n0.016 sec, avg 0.501708, stddev 0.185683, min 0.0439793, max 0.973224\n2000 times triangular\n0.004 sec, avg 0.445065, stddev 0.214846, min 0.0164006, max 0.969638\n' """
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