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171 lines
6.0 KiB
ReStructuredText
171 lines
6.0 KiB
ReStructuredText
Unit Testing
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============
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Writing tests with Déjà Fu is a little different to traditional unit
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testing, as your test case may have multiple results. A "test" is a
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combination of your code, and a predicate which says something about
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the set of allowed results.
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Most tests will look something like this:
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.. code-block:: haskell
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dejafu myAction ("Assert the thing holds", myPredicate)
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The ``dejafu`` function comes from ``Test.DejaFu``. It can't deal
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with testcases which need ``MonadIO``, use ``dejafuIO`` for that.
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Actions
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----------
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An action is just something with the type ``MonadConc m => m a``, or
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``(MonadConc m, MonadIO m) => m a`` for some ``a`` that your chosen
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predicate can deal with.
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For example, some users on Reddit found a couple of apparent bugs in
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the auto-update_ package a while ago (`thread here`__). As the
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package is simple and self-contained, I translated it to the
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``MonadConc`` abstraction and wrote a couple of tests to replicate the
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bugs. Here they are:
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.. code-block:: haskell
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deadlocks :: MonadConc m => m ()
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deadlocks = do
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auto <- mkAutoUpdate defaultUpdateSettings
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auto
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nondeterministic :: forall m. MonadConc m => m Int
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nondeterministic = do
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var <- newCRef 0
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let settings = (defaultUpdateSettings :: UpdateSettings m ())
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{ updateAction = atomicModifyCRef var (\x -> (x+1, x)) }
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auto <- mkAutoUpdate settings
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auto
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auto
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.. _auto-update: https://hackage.haskell.org/package/auto-update
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.. __: https://www.reddit.com/r/haskell/comments/2i5d7m/updating_autoupdate/
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These actions action could be tested with ``autocheck``, and the
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issues would be revealed. The use of ``ScopedTypeVariables`` in the
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second is an unfortunate example of what can happen when everything
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becomes more polymorphic. But other than that, note how there is no
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special mention of Déjà Fu in the actions: it's just normal concurrent
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Haskell, simply written against a different interface.
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The modified package is included `in the Déjà Fu testsuite`__, if you
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want to see the full code. [#]_
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.. __: https://github.com/barrucadu/dejafu/blob/2a15549d97c2fa12f5e8b92ab918fdb34da78281/dejafu-tests/Examples/AutoUpdate.hs
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.. [#] The predicates in dejafu-tests are a little confusing, as
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they're the opposite of what you would normally write! These
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predicates are checking that the bug is found, not that the
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code is correct.
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Predicates
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----------
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There are a few predicates built in, and some helpers to define your
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own.
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.. csv-table::
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:widths: 25, 75
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``abortsNever``,"checks that the computation never aborts"
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``abortsAlways``,"checks that the computation always aborts"
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``abortsSometimes``,"checks that the computation aborts at least once"
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An **abort** is where the scheduler chooses to terminate execution
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early. If you see it, it probably means that a test didn't terminate
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before it hit the execution length limit.
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.. csv-table::
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:widths: 25, 75
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``deadlocksNever``,"checks that the computation never deadlocks"
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``deadlocksAlways``,"checks that the computation always deadlocks"
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``deadlocksSometimes``,"checks that the computation deadlocks at least once"
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**Deadlocking** is where every thread becomes blocked. This can be,
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for example, if every thread is trying to read from an ``MVar`` that
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has been emptied.
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.. csv-table::
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:widths: 25, 75
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``exceptionsNever``,"checks that the main thread is never killed by an exception"
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``exceptionsAlways``,"checks that the main thread is always killed by an exception"
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``exceptionsSometimes``,"checks that the main thread is killed by an exception at least once"
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An uncaught **exception** in the main thread kills the process. These
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can be synchronous (thrown in the main thread) or asynchronous (thrown
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to it from a different thread).
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.. csv-table::
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:widths: 25, 75
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``alwaysSame``,"checks that the computation is deterministic"
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``notAlwaysSame``,"checks that the computation is nondeterministic"
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Checking for **determinism** will also find nondeterministic failures:
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deadlocking (for instance) is still a result of a test!
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.. csv-table::
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:widths: 25, 75
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``alwaysTrue p``,"checks that ``p`` is true for every result"
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``alwaysTrue2 p``,"checks that ``p`` is true for every pair of results"
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``somewhereTrue p``,"checks that ``p`` is true for at least one result"
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These can be used to check custom predicates. For example, you might
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want all your results to be less than five.
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.. csv-table::
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:widths: 25, 75
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``gives xs``,"checks that the set of results is exactly ``xs`` (which may include failures)"
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``gives' xs``,"checks that the set of results is exactly ``xs`` (which may not include failures)"
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These let you say exactly what you want the results to be. Your test
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will fail if it has any extra results, or misses a result.
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You can check multiple predicates against the same collection of
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results using the ``dejafus`` and ``dejafusIO`` functions. These
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avoid recomputing the results, and so may be faster than multiple
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``dejafu`` / ``dejafuIO`` calls. See :ref:`performance`.
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Using HUnit and Tasty
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---------------------
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By itself, Déjà Fu has no framework in place for named test groups and
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parallel execution or anything like that. It does one thing and does
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it well, which is running test cases for concurrent programs. HUnit_
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and tasty_ integration is provided to get more of the features you'd
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expect from a testing framework.
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.. _HUnit: https://hackage.haskell.org/package/HUnit
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.. _Tasty: https://hackage.haskell.org/package/tasty
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The integration is provided by the hunit-dejafu_ and tasty-dejafu_ packages.
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.. _hunit-dejafu: https://hackage.haskell.org/package/hunit-dejafu
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.. _tasty-dejafu: https://hackage.haskell.org/package/tasty-dejafu
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There's a simple naming convention used: the ``Test.DejaFu`` function
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``dejafuFoo`` is wrapped in the appropriate way and exposed as
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``testDejafuFoo`` from ``Test.HUnit.DejaFu`` and
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``Test.Tasty.DejaFu``.
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Our example from the start becomes:
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.. code-block:: haskell
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testDejafu myAction "Assert the thing holds" myPredicate
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The ``autocheck`` and ``autocheckIO`` functions are exposed as
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``testAuto`` and ``testAutoIO``.
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