Background:
I am currently writing a process monitoring tool (Windows and Linux) in Python and implementing unit test coverage. The process monitor hooks into the Windows API function EnumProcesses on Windows and monitors the /proc directory on Linux to find current processes. The process names and process IDs are then written to a log which is accessible to the unit tests.
Question:
When I unit test the monitoring behavior I need a process to start and terminate. I would love if there would be a (cross-platform?) way to start and terminate a fake system process that I could uniquely name (and track its creation in a unit test).
Initial ideas:
These are just thoughts and observations from initial testing and I would love it if someone could prove me wrong on either of these points.
I am using Python 2.6.6.
Edit:
Get all Linux process IDs:
try:
processDirectories = os.listdir(self.PROCESS_DIRECTORY)
except IOError:
return []
return [pid for pid in processDirectories if pid.isdigit()]
Get all Windows process IDs:
import ctypes, ctypes.wintypes
Psapi = ctypes.WinDLL('Psapi.dll')
EnumProcesses = self.Psapi.EnumProcesses
EnumProcesses.restype = ctypes.wintypes.BOOL
count = 50
while True:
# Build arguments to EnumProcesses
processIds = (ctypes.wintypes.DWORD*count)()
size = ctypes.sizeof(processIds)
bytes_returned = ctypes.wintypes.DWORD()
# Call enum processes to find all processes
if self.EnumProcesses(ctypes.byref(processIds), size, ctypes.byref(bytes_returned)):
if bytes_returned.value < size:
return processIds
else:
# We weren't able to get all the processes so double our size and try again
count *= 2
else:
print "EnumProcesses failed"
sys.exit()
Windows code is from here
What is mock testing? Mocking means creating a fake version of an external or internal service that can stand in for the real one, helping your tests run more quickly and more reliably. When your implementation interacts with an object's properties, rather than its function or behavior, a mock can be used.
With Mock you can mock magic methods but you have to define them. MagicMock has "default implementations of most of the magic methods.". If you don't need to test any magic methods, Mock is adequate and doesn't bring a lot of extraneous things into your tests.
edit: this answer is getting long :), but some of my original answer still applies, so I leave it in :)
Your code is not so different from my original answer. Some of my ideas still apply.
When you are writing Unit Test, you want to only test your logic. When you use code that interacts with the operating system, you usually want to mock that part out. The reason being that you don't have much control over the output of those libraries, as you found out. So it's easier to mock those calls.
In this case, there are two libraries that are interacting with the sytem: os.listdir
and EnumProcesses
. Since you didn't write them, we can easily fake them to return what we need. Which in this case is a list.
But wait, in your comment you mentioned:
"The issue I'm having with it however is that it really doesn't test that my code is seeing new processes on the system but rather that the code is correctly monitoring new items in a list."
The thing is, we don't need to test the code that actually monitors the processes on the system, because it's a third party code. What we need to test is that your code logic handles the returned processes. Because that's the code you wrote. The reason why we are testing over a list, is because that's what your logic is doing. os.listir
and EniumProcesses
return a list of pids (numeric strings and integers, respectively) and your code acts on that list.
I'm assuming your code is inside a Class (you are using self
in your code). I'm also assuming that they are isolated inside their own methods (you are using return
). So this will be sort of what I suggested originally, except with actual code :) Idk if they are in the same class or different classes, but it doesn't really matter.
Now, testing your Linux process function is not that difficult. You can patch os.listdir
to return a list of pids.
def getLinuxProcess(self):
try:
processDirectories = os.listdir(self.PROCESS_DIRECTORY)
except IOError:
return []
return [pid for pid in processDirectories if pid.isdigit()]
Now for the test.
import unittest
from fudge import patched_context
import os
import LinuxProcessClass # class that contains getLinuxProcess method
def test_LinuxProcess(self):
"""Test the logic of our getLinuxProcess.
We patch os.listdir and return our own list, because os.listdir
returns a list. We do this so that we can control the output
(we test *our* logic, not a built-in library's functionality).
"""
# Test we can parse our pdis
fakeProcessIds = ['1', '2', '3']
with patched_context(os, 'listdir', lamba x: fakeProcessIds):
myClass = LinuxProcessClass()
....
result = myClass.getLinuxProcess()
expected = [1, 2, 3]
self.assertEqual(result, expected)
# Test we can handle IOERROR
with patched_context(os, 'listdir', lamba x: raise IOError):
myClass = LinuxProcessClass()
....
result = myClass.getLinuxProcess()
expected = []
self.assertEqual(result, expected)
# Test we only get pids
fakeProcessIds = ['1', '2', '3', 'do', 'not', 'parse']
.....
Testing your Window's method is a little trickier. What I would do is the following:
def prepareWindowsObjects(self):
"""Create and set up objects needed to get the windows process"
...
Psapi = ctypes.WinDLL('Psapi.dll')
EnumProcesses = self.Psapi.EnumProcesses
EnumProcesses.restype = ctypes.wintypes.BOOL
self.EnumProcessses = EnumProcess
...
def getWindowsProcess(self):
count = 50
while True:
.... # Build arguments to EnumProcesses and call enun process
if self.EnumProcesses(ctypes.byref(processIds),...
..
else:
return []
I separated the code into two methods to make it easier to read (I believe you are already doing this). Here is the tricky part, EnumProcesses
is using pointers and they are not easy to play with. Another thing is, that I don't know how to work with pointers in Python, so I couldn't tell you of an easy way to mock that out =P
What I can tell you is to simply not test it. Your logic there is very minimal. Besides increasing the size of count
, everything else in that function is creating the space EnumProcesses
pointers will use. Maybe you can add a limit to the count size but other than that, this method is short and sweet. It returns the windows processes and nothing more. Just what I was asking for in my original comment :)
So leave that method alone. Don't test it. Make sure though, that anything that uses getWindowsProcess
and getLinuxProcess
get's mocked out as per my original suggestion.
Hopefully this makes more sense :) If it doesn't let me know and maybe we can have a chat session or do a video call or something.
original answer
I'm not exactly sure how to do what you are asking, but whenever I need to test code that depends on some outside force (external libraries, popen or in this case processes) I mock out those parts.
Now, I don't know how your code is structured, but maybe you can do something like this:
def getWindowsProcesses(self, ...):
'''Call Windows API function EnumProcesses and
return the list of processes
'''
# ... call EnumProcesses ...
return listOfProcesses
def getLinuxProcesses(self, ...):
'''Look in /proc dir and return list of processes'''
# ... look in /proc ...
return listOfProcessses
These two methods only do one thing, get the list of processes. For Windows, it might just be a call to that API and for Linux just reading the /proc dir. That's all, nothing more. The logic for handling the processes will go somewhere else. This makes these methods extremely easy to mock out since their implementations are just API calls that return a list.
Your code can then easy call them:
def getProcesses(...):
'''Get the processes running.'''
isLinux = # ... logic for determining OS ...
if isLinux:
processes = getLinuxProcesses(...)
else:
processes = getWindowsProcesses(...)
# ... do something with processes, write to log file, etc ...
In your test, you can then use a mocking library such as Fudge. You mock out these two methods to return what you expect them to return.
This way you'll be testing your logic since you can control what the result will be.
from fudge import patched_context
...
def test_getProcesses(self, ...):
monitor = MonitorTool(..)
# Patch the method that gets the processes. Whenever it gets called, return
# our predetermined list.
originalProcesses = [....pids...]
with patched_context(monitor, "getLinuxProcesses", lamba x: originalProcesses):
monitor.getProcesses()
# ... assert logic is right ...
# Let's "add" some new processes and test that our logic realizes new
# processes were added.
newProcesses = [...]
updatedProcesses = originalProcessses + (newProcesses)
with patched_context(monitor, "getLinuxProcesses", lamba x: updatedProcesses):
monitor.getProcesses()
# ... assert logic caught new processes ...
# Let's "kill" our new processes and test that our logic can handle it
with patched_context(monitor, "getLinuxProcesses", lamba x: originalProcesses):
monitor.getProcesses()
# ... assert logic caught processes were 'killed' ...
Keep in mind that if you test your code this way, you won't get 100% code coverage (since your mocked methods won't be run), but this is fine. You're testing your code and not third party's, which is what matters.
Hopefully this might be able to help you. I know it doesn't answer your question, but maybe you can use this to figure out the best way to test your code.
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