以下示例:
import subprocess
import mock
class MyArgs():
cmd = ''
cmd_args = ''
cmd_path = ''
def __init__(self):
pass
def set_args(self, c, a, p):
self.cmd = c
self.cmd_args = a
self.cmd_path = p
def get_command(self):
return ([self.cmd, self.cmd_args, self.cmd_path])
class Example():
args = MyArgs()
def __init__(self):
pass
def run_ls_command(self):
print 'run_ls_command command:' + str(self.get_command())
p = subprocess.Popen(self.get_command(), stdout=subprocess.PIPE)
out, err = p.communicate()
print out #to verify the mock is working, should output 'output' if the mock is called
return err
def set_args(self, c, a, p):
#this would be more complicated logic in
#future and likely not just one method, this is a MWE
self.args.set_args(c,a,p)
def get_command(self):
return self.args.get_command()
@mock.patch.object(subprocess, 'Popen', autospec=True)
def test_subprocess_popen(mock_popen):
mock_popen.return_value.returncode = 0
mock_popen.return_value.communicate.return_value = ("output", "Error")
e = Example()
e.set_args('ls', '-al', '/bin/foobar')
e.run_ls_command()
#todo: validate arguments called by the popen command for the test
test_subprocess_popen()
长期目标是能够验证更复杂的subprocess.Popen
命令,这些命令将通过对Example
对象的更多操作来构造(尽管概念与此示例相同)。< / p>
我想做的是以某种方式分析发送到p = subprocess.Popen(self.get_command(), stdout=subprocess.PIPE)
命令的参数。
但是我不知道如何获得这些参数 - 我知道我的模拟被调用,因为我的输出匹配模拟的预期。