How can I see normal print output created during pytest run?


Sometimes I want to just insert some print statements in my code, and see what gets printed out when I exercise it. My usual way to “exercise” it is with existing pytest tests. But when I run these, I don’t seem able to see any standard output (at least from within PyCharm, my IDE).

Is there a simple way to see standard output during a pytest run?

Asked By: Des



The -s switch disables per-test capturing (only if a test fails).

-s is equivalent to --capture=no.

Answered By: hpk42

When running the test use the -s option. All print statements in would get printed on the console when test is run.

py.test -s
Answered By: Summerfun

In an upvoted comment to the accepted answer, Joe asks:

Is there any way to print to the console AND capture the output so that it shows in the junit report?

In UNIX, this is commonly referred to as teeing. Ideally, teeing rather than capturing would be the py.test default. Non-ideally, neither py.test nor any existing third-party py.test plugin (…that I know of, anyway) supports teeing – despite Python trivially supporting teeing out-of-the-box.

Monkey-patching py.test to do anything unsupported is non-trivial. Why? Because:

  • Most py.test functionality is locked behind a private _pytest package not intended to be externally imported. Attempting to do so without knowing what you’re doing typically results in the public pytest package raising obscure exceptions at runtime. Thanks alot, py.test. Really robust architecture you got there.
  • Even when you do figure out how to monkey-patch the private _pytest API in a safe manner, you have to do so before running the public pytest package run by the external py.test command. You cannot do this in a plugin (e.g., a top-level conftest module in your test suite). By the time py.test lazily gets around to dynamically importing your plugin, any py.test class you wanted to monkey-patch has long since been instantiated – and you do not have access to that instance. This implies that, if you want your monkey-patch to be meaningfully applied, you can no longer safely run the external py.test command. Instead, you have to wrap the running of that command with a custom setuptools test command that (in order):
    1. Monkey-patches the private _pytest API.
    2. Calls the public pytest.main() function to run the py.test command.

This answer monkey-patches py.test’s -s and --capture=no options to capture stderr but not stdout. By default, these options capture neither stderr nor stdout. This isn’t quite teeing, of course. But every great journey begins with a tedious prequel everyone forgets in five years.

Why do this? I shall now tell you. My py.test-driven test suite contains slow functional tests. Displaying the stdout of these tests is helpful and reassuring, preventing leycec from reaching for killall -9 py.test when yet another long-running functional test fails to do anything for weeks on end. Displaying the stderr of these tests, however, prevents py.test from reporting exception tracebacks on test failures. Which is completely unhelpful. Hence, we coerce py.test to capture stderr but not stdout.

Before we get to it, this answer assumes you already have a custom setuptools test command invoking py.test. If you don’t, see the Manual Integration subsection of py.test’s well-written Good Practices page.

Do not install pytest-runner, a third-party setuptools plugin providing a custom setuptools test command also invoking py.test. If pytest-runner is already installed, you’ll probably need to uninstall that pip3 package and then adopt the manual approach linked to above.

Assuming you followed the instructions in Manual Integration highlighted above, your codebase should now contain a PyTest.run_tests() method. Modify this method to resemble:

class PyTest(TestCommand):
    def run_tests(self):
        # Import the public "pytest" package *BEFORE* the private "_pytest"
        # package. While importation order is typically ignorable, imports can
        # technically have side effects. Tragicomically, that is the case here.
        # Importing the public "pytest" package establishes runtime
        # configuration required by submodules of the private "_pytest" package.
        # The former *MUST* always be imported before the latter. Failing to do
        # so raises obtuse exceptions at runtime... which is bad.
        import pytest
        from _pytest.capture import CaptureManager, FDCapture, MultiCapture

        # If the private method to be monkey-patched no longer exists, py.test
        # is either broken or unsupported. In either case, raise an exception.
        if not hasattr(CaptureManager, '_getcapture'):
            from distutils.errors import DistutilsClassError
            raise DistutilsClassError(
                'Class "pytest.capture.CaptureManager" method _getcapture() '
                'not found. The current version of py.test is either '
                'broken (unlikely) or unsupported (likely).'

        # Old method to be monkey-patched.
        _getcapture_old = CaptureManager._getcapture

        # New method applying this monkey-patch. Note the use of:
        # * "out=False", *NOT* capturing stdout.
        # * "err=True", capturing stderr.
        def _getcapture_new(self, method):
            if method == "no":
                return MultiCapture(
                    out=False, err=True, in_=False, Capture=FDCapture)
                return _getcapture_old(self, method)

        # Replace the old with the new method.
        CaptureManager._getcapture = _getcapture_new

        # Run py.test with all passed arguments.
        errno = pytest.main(self.pytest_args)

To enable this monkey-patch, run py.test as follows:

python test -a "-s"

Stderr but not stdout will now be captured. Nifty!

Extending the above monkey-patch to tee stdout and stderr is left as an exercise to the reader with a barrel-full of free time.

Answered By: Cecil Curry

According to pytest documentation, version 3 of pytest can temporary disable capture in a test:

def test_disabling_capturing(capsys):
    print('this output is captured')
    with capsys.disabled():
        print('output not captured, going directly to sys.stdout')
    print('this output is also captured')
Answered By: Roman Susi

Try pytest -s -v for more info in console.

-v it’s a short --verbose

-s means ‘disable all capturing’

Answered By: Oleksandr Makarenko

If you are using PyCharm IDE, then you can run that individual test or all tests using Run toolbar. The Run tool window displays output generated by your application and you can see all the print statements in there as part of test output.

Answered By: Gemini Jain

pytest captures the stdout from individual tests and displays them only on certain conditions, along with the summary of the tests it prints by default.

Extra summary info can be shown using the ‘-r’ option:

pytest -rP

shows the captured output of passed tests.

pytest -rx

shows the captured output of failed tests (default behaviour).

The formatting of the output is prettier with -r than with -s.

Answered By: Sunthar

pytest --capture=tee-sys was recently added (v5.4.0). You can capture as well as see the output on stdout/err.

Answered By: meonstackexchange

You can also enable live-logging by setting the following in pytest.ini or tox.ini in your project root.

log_cli = True

Or specify it directly on cli

pytest -o log_cli=True
Answered By: dvvrt
pytest -v -s


Answered By: Kiran Sk

I would suggest using -h command. There’re quite interesting commands might be used for.
but, for this particular case: -s shortcut for –capture=no. is enough

pytest <> -s
Answered By: Vova

If you are using logging, you need to specify to turn on logging output in addition to -s for generic stdout. Based on Logging within pytest tests, I am using:

pytest --log-cli-level=DEBUG -s my_directory/

Answered By: sage

If anyone wants to run tests from code with output:

if __name__ == '__main__':
Answered By: Alex Kosh

The capsys, capsysbinary, capfd, and capfdbinary fixtures allow access to stdout/stderr output created
during test execution. Here is an example test function that performs some output related checks:

def test_print_something_even_if_the_test_pass(self, capsys):
    text_to_be_printed = "Print me when the test pass."
    p_t = capsys.readouterr()
    # the two rows above will print the text even if the test pass.

Here is the result:

test_print_something_even_if_the_test_pass PASSED [100%]Print me when the test pass.

Answered By: lubo
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