uTest (pronounced micro-test) is a lightweight testing library for Scala. Its key features are:
- Less than 1000 lines of code
- A fancy set of macro-powered asserts
- A unique execution model
- Integration with SBT
- Cross compiles to ScalaJS
- Parallel testing
- Getting Started
- Defining and Running a Test Suite
- Macro Asserts
- Execution Model
- Test running API
- Running tests with SBT
- ScalaJS
- Why uTest
libraryDependencies += "com.lihaoyi" %% "utest" % "0.1.8"Add the following to your built.sbt and you can immediately begin defining and running tests programmatically. Continue reading to see how to define and run your test suites, or jump to Running tests with SBT to find out how to mark and run your test suites from the SBT console.
import utest._
import utest.ExecutionContext.RunNow
val test = TestSuite{
'test1{
throw new Exception("test1")
}
'test2{
1
}
'test3{
val a = List[Byte](1, 2)
a(10)
}
}
// We have 4 tests in our test tree (3 leaves + the root)
println(test.toSeq.length) // 4
println(test.leaves.length) // 3
val results = test.run()
println(results.toSeq.length) // 4
println(results.leaves.length) // 3
println(results.leaves.count(_.value.isFailure)) // 2
println(results.leaves.count(_.value.isSuccess)) // 1The simplest way to define a suite and start running tests is directly creating a test suite and running it programmatically. TestSuite{} returns a Tree[Test], and the .run() method returns a Tree[Result]. Tree[T] is a n-ary tree which holds either the tests or the results. Importing ExecutionContext.RunNow indicates that you want tests to be run without parallelism on the current thread.
As you can see, both Tests and Results at the root of the tree are considered part of it. If you only want e.g. the Results from the leaf tests, use the .leaves method to get an iterator for those.
Note that tests within the suite can nested within each other, but only directly. E.g. you cannot define tests within if-statements or for-loops. uTest relies on the test structure to be statically known at compile time. They can be nested arbitrarily deep:
val test = TestSuite{
val x = 1
'outer{
val y = x + 1
'inner{
val z = y + 1
'innerest{
assert(
x == 1,
y == 2,
z == 3
)
(x, y, z)
}
}
}
}
val results = test.run()
println(results.iterator.count(_.value.isSuccess)) // 4
println(results.leaves.count(_.value.isSuccess)) // 1Again, by default the results iterator includes the results of every node in the test tree, and you can use .leaves to only get the leaf nodes. Nesting is a convenient way of organizing related tests, and with the added bonus that you can place shared initialization code or helpers (e.g. the val x, val y, val z above) at the correct place within the tree where it is only visible to the tests that use it.
Despite it being shared lexically, these helpers are re-created for each test that is run, so if you if they contain mutable state (e.g. mutable collections, or vars) you do not need to worry about the mutations from multiple tests interfering with each other. For more detail on this and other things related to test execution, see below.
uTest also allows you to use strings to define test keys, if you wish to make your test names longer and more descriptive:
TestSuite{
"test with spaces"-{
throw new Exception("test1")
}
'test2-run(1)
}Note that you can also use the 'symbol-... syntax, if your tests are concise and you want to make them really concise. The "string"-{...}, 'symbol{...} and 'symbol-... syntaxes are all entirely equivalent.
test.run().toSeq.foreach(println)
// Result(Main$,Success(()), ...)
// Result(test1,Failure(java.lang.Exception: test1), ...)
// Result(test2,Success(1), ...)
// Result(test3,Failure(java.lang.IndexOutOfBoundsException: 10), ...)The Result(name: String, value: Try[Any]) data structure is a simple data structure used to hold the results of the tests. Running the tests gives you a Tree[Result], which is trivially convertible to a Seq[Result] and can be manipulated programmatically.
One of the more common things you want to do with Results is print them out nicely so you can see what happened, and uTest provides the DefaultFormatter class for exactly that purpose:
println(new DefaultFormatter().format(test.run()))
// Main$ Success
// test1 Failure(java.lang.Exception: test1)
// test2 Success(1)
// test3 Failure(java.lang.IndexOutOfBoundsException: 10)DefaultFormatter has a number of optional arguments that allow you to set the line-length-cutoff, whether the output uses console colors, whether stack traces are printed and other useful things.
You may have noticed that each Result contains a Try[Any] rather than an Option[Throwable]. This value is the last value in the test block, and is generally useful to pass data "out of" tests. For example, the DefaultFormatter displays it together with Success message, making it a nice sanity-check to let you confirm (visually) that the tests indeed did what they were supposed to.
val x = 1
val y = "2"
assert(
x > 0,
x == y
)
// utest.AssertionError: x == y
// x: Int = 1
// y: String = 2uTest comes with a macro-powered asserts that provide useful debugging information in the error message. These take one or more boolean expressions, and when they fail, will print out the names, types and values of any local variables used in the expression that failed. This makes it much easier to see what's going on than Scala's default assert, which gives you the stack trace and nothing else.
uTest also wraps any exceptions thrown within the assert, to help trace what went wrong:
val x = 1L
val y = 0L
assert(x / y == 10)
// utest.AssertionError: assert(x / y == 10)
// caused by: java.lang.ArithmeticException: / by zero
// x: Long = 1
// y: Long = 0The origin exception is stored as the cause of the utest.AssertionError, so the original stack trace is still available for you to inspect.
val e = intercept[MatchError]{
(0: Any) match { case _: String => }
}
println(e)
// scala.MatchError: 0 (of class java.lang.Integer)intercept allows you to verify that a block raises an exception. This exception is caught and returned so you can perform further validation on it, e.g. checking that the message is what you expect. If the block does not raise one, an AssertionError is raised.
As with assert, intercept adds debugging information to the error messages if the intercept fails or throws an unexpected Exception.
val x = Seq(12)
eventually(x == Nil)
// utest.AssertionError: eventually(x == Nil)
// x: Seq[Int] = List(12)In addition to a macro-powered assert, uTest also provides macro-powered versions of eventually and continually. These are used to test asynchronous concurrent operations:
eventually(tests: Boolean*): ensure that the boolean values oftestsall become true at least once within a certain period of time.continually(tests: Boolean*): ensure that the boolean values oftestsall remain true and never become false within a certain period of time.
These are implemented via a retry-loop, with a default retry interval of 0.1 second and retries up to a total of 1 second. If you want to change this behavior, you can shadow the implicit values retryInterval and retryMax, for example this:
implicit val retryMax = RetryMax(300.millis)
implicit val retryInterval = RetryInterval(50.millis)Would set the retry-loop to happen every 50ms up to a max of 300ms.
Together, these two operations allow you to easily test asynchronous operations. You can use them to help verify Liveness properties (that condition must eventually be met) and Safety properties (that a condition is never met)
As with assert, eventually and continually add debugging information to the error messages if they fail.
assertMatch(Seq(1, 2, 3)){case Seq(1, 2) =>}
// AssertionError: Matching failed Seq(1, 2, 3)assertMatch is a convenient way of checking that a value matches a particular shape, using Scala's pattern matching syntax. This includes support for use of | or _ or if-guards within the pattern match. This gives you additional flexibility over a traditional assert(a == Seq(1, 2)), as you can use _ as a wildcard e.g. using assertMatch(a){case Seq(1, _)=>} to match any 2-item Seq whose first item is 1.
As with assert, assertMatch adds debugging information to the error messages if the value fails to match or throws an unexpected Exception while evaluating.
val test = TestSuite{
var x = 0
'A{
x += 1
'X{
x += 2
assert(x == 3)
}
'Y{
x += 3
assert(x == 4)
}
}
'B{
x += 4
'Z{
x += 5
assert(x == 9)
}
}
}
val results = test.run()
println(results.leaves.count(_.value.isSuccess)) // 3The example above demonstrates a subtlety of how uTest suites are run: despite all the tests being able to refer to the same lexically-scoped value x, each tests modifications to x happen entirely independently of the others, allowing all three of the leaf-tests to pass. This allows you to easily place re-usable fixtures anywhere convenient within the test tree.
If you want to create a shared resource that is lazily initialized when needed in one of the tests and used throughout them, simply make it a lazy val outside the TestSuite{ ... } block.
Test-discovery is done entirely at compile-time by the TestSuite{ ... } macro, and is independent of execution of the tests:
val tests = TestSuite{
timesRun += 1
'A{
assert(false)
'B{
'C{
1
}
}
}
}
// listing tests B and C works despite failure of A
println(tests.toSeq.map(_.name)) // Seq(_, A, B, C)As you can see, even though the assert(false) comes before the declaration of tests B and C, these tests are still listable and inspectable because they were registered at compile time using the TestSuite{ ... } macro.
Having a clean separation between test-discovery and test-execution is generally considered to be a good thing, and uTest's execution model strictly enforces this by doing test-discovery at compile-time. Thus, you can always inspect the test hierarchy without having to execute arbitrary test code. At the same time, uTest preserves all the convenience of sharing common setup code via lexical scoping, while avoiding the pitfall of shared-state between tests, giving you the best of both worlds in terms of convenience and isolation.
This section goes into the Scala API for running a uTest suite. For the SBT command-line API, see Running tests with SBT.
val tests = TestSuite{
'A{
'C-1
}
'B{
'D-2
'E-3
}
}
println(tests.run(testPath=Seq("A", "C")).toSeq))
// Seq(Result("C", Success(1), _, _))
println(tests.run(testPath=Seq("A")).toSeq)
// Seq(Result("A", Success(()), _, _), Result("C", Success(1), _, _))
println(tests.run(testPath=Seq("B")).toSeq)
// Seq(
// Result("B", Success(()), _, _),
// Result("D", Success(2), _, _),
// Result("E", Success(3), _, _)
//)You can run individual tests by passing a testPath argument to the run method. This allows you to specify which test or set of tests you want to run. When a test is selected, uTest will run any tests in that subtree of the test tree, e.g. running the test B above also runs D and E.
If an outer test fails, all the tests in its subtree will be skipped:
var timesRun = 0
val tests = TestSuite{
timesRun += 1
'A{
assert(false)
'B{
'C{
1
}
}
}
}
// inner tests aren't even tried, so only root
// and "A" are run, which is 2 runs
println(timesRun) // 2
println(res)
// Seq(
// Result(_, Success(_), _, _),
// Result("A", Failure(_: AssertionError), _, _),
// Result("B", Failure(SkippedDueToOuterFailureError(Seq("A"), _: AssertionError)), _, _),
// Result("C", Failure(SkippedDueToOuterFailureError(Seq("A"), _: AssertionError)), _, _)
// )These inner tests are failed with SkippedDueToOuterFailureError.
If you want to run your tests in parallel, simply replace
import utest.ExecutionContext.RunNowWith
import ExecutionContext.Implicits.globalThat will cause your tests to be distributed on your default global ExecutionContext, which parallelizes it on a global ForkJoinPool to make use of all your cores. Note that even without using a parallelizing ExecutionContext, SBT will run separate suites in parallel. The parallel ExecutionContext also does not work with ScalaJS
To run tests using SBT, add the following to your build.sbt file:
libraryDependencies += "com.lihaoyi" %% "utest" % "0.1.8"
testFrameworks += new TestFramework("utest.runner.JvmFramework")After that, you can use
sbt> test
To run all tests in your project. Tests are defined in any class inheriting from TestSuite, e.g.:
package mytests
object MyTestSuite extends TestSuite{
val tests = TestSuite{
'hello{
'world{
val x = 1
val y = 2
assert(x != y)
(x, y)
}
}
'test2{
val a = 1
val b = 2
assert(a == b)
}
}
}Running:
sbt> test-only -- mytests.MyTestSuite
Will print out something like this:
[info] 1/4 utest.MyTestSuite.hello.world Success((1,2))
[info] 2/4 utest.MyTestSuite.hello Success
[info] 3/4 utest.MyTestSuite.test2 Failure(utest.AssertionError: assert(a == b)
[info] ...
[info] 4/4 utest.MyTestSuite. Success
[info] -----------------------------------Results-----------------------------------
[info] MyTestSuite$ Success
[info] hello Success
[info] world Success((1,2))
[info] test2 Failure(utest.AssertionError: assert(a == b)
[info] ...
[info] Tests: 4
[info] Passed: 3
[info] Failed: 1
As you can see, the total number of tests includes the non-leaf tests like hello and MyTestSuite. Also, the tests which return a value (like world) have that value printed out inside the Success() tag: this is handy for doing a visual sanity-check at the end of the run to make sure the tests are doing what you think they are
You can further drill down into a single test suite by providing the path to the test within it:
sbt> test-only -- mytests.MyTestSuite.test2
Which will only run one test.
[info] 1/4 utest.MyTestSuite. Failure(utest.AssertionError: assert(a == b)
[info] ...
[info] -----------------------------------Results-----------------------------------
[info] test2 Failure(utest.AssertionError: assert(a == b)
[info] ...
[info] Tests: 1
[info] Passed: 0
[info] Failed: 1
If you want to customize how the output is formatted, you can do so with command-line flags from SBT, for example to turn on tracing
sbt> test-only -- mytests.MyTestSuite.test2 --trace=true
Which shows you the exception that gets raised:
[info] 1/4 utest.MyTestSuite. Failure(utest.AssertionError: assert(a == b)
[info] ...
[info] utest.AssertionError: assert(a == b)
[info] a: Int = 1
[info] b: Int = 2
...
[info] at utest.MyTestSuite$$anonfun$4$$anonfun$apply$4.apply(Main.scala:30)
[info] at utest.MyTestSuite$$anonfun$4$$anonfun$apply$4.apply(Main.scala:18)
...
[info] -----------------------------------Results-----------------------------------
[info] test2 Failure(utest.AssertionError: assert(a == b)
[info] ...
[info] Tests: 1
[info] Passed: 0
[info] Failed: 1
Other flags you can pass to the test suite are:
--color=trueor--color=false: toggle console color output, defaults totrue--truncate=N: cut off the printing of test results atNlines per result--trace=trueor--trace=false: whether or not to print stack traces when things blow up, defaults to false.--parallel=trueor--parallel=false: whether tests within aTestSuiteshould be run in parallel, defaults tofalse. Tests in different suites are always run task-parallel by SBT--throw: cause the tests to throw an exception if they fail. This is off by default as it causes a bunch of annoying stack traces, but could be useful for telling CI frameworks that tests failed.
uTest is completely compatible with ScalaJS: the above sections on defining a test suite, asserts and the test-running API all work unchanged under ScalaJS, with minor differences:
- ScalaJS does not support parallelism, and as such only single-threaded
ExecutionContextslikeutest.ExecutionContext.runNoworscala.scalajs.concurrent.JSExecutionContext.runNowwork. When run via SBT,--parallelhas no effect. - eventually and continually are not supported, as they rely on a blocking retry-loop whereas you can't block in ScalaJS
- Running tests using SBT requires additional magic incantations in your
project/plugins.sbtandproject/build.sbtfile.
Apart from these differences, there should be no problem compiling uTest TestSuites via ScalaJS and running them using Rhino or in the browser.
To get SBT to run your uTest suites under ScalaJS, add the following to your build.sbt:
utest.jsrunner.Plugin.utestJsSettingsAnd the following to your project/build.sbt
addSbtPlugin("com.lihaoyi" % "utest-js-plugin" % "0.1.8")Note that your project must already be a ScalaJS project. With these snippets set up, all of the commands described in Running tests with SBT should behave identically, except that your test suites will be compiled to Javascript and run in ScalaJS's JsEnv, instead of on the JVM. By default this is Rhino, but it can be configured to use NodeJS or PhantomJS if you have them installed. Test selection, coloring, etc. should all work unchanged.
This version of uTest is compatible with ScalaJS 0.5.X.
Apart from the bare-minimum needed to get you up and running using uTest with ScalaJS, the utest-js-plugin contains a JsCrossBuild class that codifies the common pattern of having js/, jvm/ and shared/ folders containing your code. This is used in your project/Build.scala file as follows:
import utest.jsrunner._
object Build extends sbt.Build{
lazy val cross = new JsCrossBuild(
... shared settings ...
)
lazy val root = cross.root
lazy val js = cross.js
lazy val jvm = cross.jvm
}This creates two projects, js and jvm, together with their respective folders js/ and jvm/ and makes them both use any code placed in shared/. Note that cross.root, cross.js, cross.jvm are all normal SBT projects, and can be modified via normal .settings calls and other modifiers. It also cross-versions your project against the latest Scala 2.10.x and 2.11.x releases.
To cross-cross test your project against {2.11.x, 2.10.x} X {JVM, JS} using JsCrossBuild, simply use:
+testWhich will run the tests in all 4 combinations.
uTest began as an attempt to port ScalaTest and Specs2 to ScalaJS. After struggling with that, I realized that both ScalaTest and Specs2 were going to be difficult to port to ScalaJS for a few reasons:
- They have a large number of dependencies on JVM-specific things, such as Symbols or Reflection or ClassLoaders, which are not supported by ScalaJS
- They have huge codebases: 400,000 lines of code for ScalaTest and 50,000 lines for Specs2. This huge mass of code makes it difficult to pinpoint the parts which are incompatible with ScalaJS.
If you don't believe that uTest is much smaller than the alternatives, let the jars speak for themselves:
uTest tries to provide most of what you want as a developer, while leaving out all the unnecessary functionality that ScalaTest and Specs2 provide:
- Fluent english-like code: matchers like
shouldBeorshould not beormustbe_==don't really add anything, and it doesn't really matter whether you name each test block usingshould,when,can,must,feature("...")orit should "..."These add nothing and clutter up the API and code base. You certainly don't need 8 different sets of them. - Legacy code, like ScalaTests time package, now obsolete with the introduction of scala.concurrent.duration.
- Such a a rich command-line interface: with a simple API, any user who wants to do heavy customization of the test running can simply do it in code, and writing a small amount of Scala with a trivial command-line runner will likely be easier than wrestling with mountains of command-line configuration flags to try to make the runner do what you want.
While improving on the basic things that matters
- Better macro-asserts which are both more-useful and more-simply-implemented than those provided by ScalaTest
- Compile-time test registration, which allows completely separating test-discovery and execution.
- A simpler, straightforward API that makes using uTest as a library much easier.
- Raw size: at less than 1000 lines of code, uTest is 1/400th the size of ScalaTest and 1/50th the size of Specs2, and with almost no dependencies. Its small size means that you can trivially use uTest as a library within a larger application without worrying about it significantly increasing the size of your packaged artifacts, or pulling in weird dependencies.
To run all the test on the entire matrix of Scala versions (2.10.4 and 2.11.0) and backends (JVM and JS), simply run:
sbt +test
You can also use more targeted commands e.g. js/test which would only re-test the Javascript backend under scala 2.10.4.
