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105 lines
5.6 KiB
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.. SPDX-License-Identifier: GPL-2.0
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==========================
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Frequently Asked Questions
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==========================
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How is this different from Autotest, kselftest, and so on?
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==========================================================
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KUnit is a unit testing framework. Autotest, kselftest (and some others) are
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not.
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A `unit test <https://martinfowler.com/bliki/UnitTest.html>`_ is supposed to
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test a single unit of code in isolation and hence the name *unit test*. A unit
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test should be the finest granularity of testing and should allow all possible
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code paths to be tested in the code under test. This is only possible if the
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code under test is small and does not have any external dependencies outside of
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the test's control like hardware.
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There are no testing frameworks currently available for the kernel that do not
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require installing the kernel on a test machine or in a virtual machine. All
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testing frameworks require tests to be written in userspace and run on the
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kernel under test. This is true for Autotest, kselftest, and some others,
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disqualifying any of them from being considered unit testing frameworks.
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Does KUnit support running on architectures other than UML?
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===========================================================
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Yes, mostly.
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For the most part, the KUnit core framework (what we use to write the tests)
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can compile to any architecture. It compiles like just another part of the
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kernel and runs when the kernel boots, or when built as a module, when the
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module is loaded. However, there is infrastructure, like the KUnit Wrapper
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(``tools/testing/kunit/kunit.py``) that might not support some architectures
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(see :ref:`kunit-on-qemu`).
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In short, yes, you can run KUnit on other architectures, but it might require
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more work than using KUnit on UML.
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For more information, see :ref:`kunit-on-non-uml`.
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.. _kinds-of-tests:
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What is the difference between a unit test and other kinds of tests?
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====================================================================
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Most existing tests for the Linux kernel would be categorized as an integration
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test, or an end-to-end test.
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- A unit test is supposed to test a single unit of code in isolation. A unit
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test should be the finest granularity of testing and, as such, allows all
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possible code paths to be tested in the code under test. This is only possible
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if the code under test is small and does not have any external dependencies
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outside of the test's control like hardware.
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- An integration test tests the interaction between a minimal set of components,
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usually just two or three. For example, someone might write an integration
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test to test the interaction between a driver and a piece of hardware, or to
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test the interaction between the userspace libraries the kernel provides and
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the kernel itself. However, one of these tests would probably not test the
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entire kernel along with hardware interactions and interactions with the
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userspace.
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- An end-to-end test usually tests the entire system from the perspective of the
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code under test. For example, someone might write an end-to-end test for the
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kernel by installing a production configuration of the kernel on production
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hardware with a production userspace and then trying to exercise some behavior
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that depends on interactions between the hardware, the kernel, and userspace.
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KUnit is not working, what should I do?
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=======================================
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Unfortunately, there are a number of things which can break, but here are some
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things to try.
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1. Run ``./tools/testing/kunit/kunit.py run`` with the ``--raw_output``
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parameter. This might show details or error messages hidden by the kunit_tool
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parser.
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2. Instead of running ``kunit.py run``, try running ``kunit.py config``,
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``kunit.py build``, and ``kunit.py exec`` independently. This can help track
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down where an issue is occurring. (If you think the parser is at fault, you
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can run it manually against ``stdin`` or a file with ``kunit.py parse``.)
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3. Running the UML kernel directly can often reveal issues or error messages,
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``kunit_tool`` ignores. This should be as simple as running ``./vmlinux``
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after building the UML kernel (for example, by using ``kunit.py build``).
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Note that UML has some unusual requirements (such as the host having a tmpfs
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filesystem mounted), and has had issues in the past when built statically and
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the host has KASLR enabled. (On older host kernels, you may need to run
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``setarch `uname -m` -R ./vmlinux`` to disable KASLR.)
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4. Make sure the kernel .config has ``CONFIG_KUNIT=y`` and at least one test
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(e.g. ``CONFIG_KUNIT_EXAMPLE_TEST=y``). kunit_tool will keep its .config
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around, so you can see what config was used after running ``kunit.py run``.
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It also preserves any config changes you might make, so you can
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enable/disable things with ``make ARCH=um menuconfig`` or similar, and then
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re-run kunit_tool.
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5. Try to run ``make ARCH=um defconfig`` before running ``kunit.py run``. This
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may help clean up any residual config items which could be causing problems.
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6. Finally, try running KUnit outside UML. KUnit and KUnit tests can be
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built into any kernel, or can be built as a module and loaded at runtime.
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Doing so should allow you to determine if UML is causing the issue you're
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seeing. When tests are built-in, they will execute when the kernel boots, and
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modules will automatically execute associated tests when loaded. Test results
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can be collected from ``/sys/kernel/debug/kunit/<test suite>/results``, and
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can be parsed with ``kunit.py parse``. For more details, see :ref:`kunit-on-qemu`.
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If none of the above tricks help, you are always welcome to email any issues to
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kunit-dev@googlegroups.com.
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