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Dsl.scala is a framework to create embedded Domain-Specific Languages in Scala.

A DSL author is able to create language keywords by implementing the Dsl trait, which contains only one abstract method to be implemented. No knowledge about Scala compiler or AST macros is required.

DSLs written in Dsl.scala are collaborative with others DSLs and Scala control flows. A DSL user can create functions that contains interleaved DSLs implemented by different vendors, along with ordinary Scala control flows.

We also provide some built-in keywords, including:

  • The Await keyword for creating memoized asynchronous values as Scala Futures, similar to the await / async keywords in C#, Python and JavaScript.
  • The Shift keyword for creating asynchronous tasks as delimited continuations, similar to the shift operator in Scala Continuations.
  • The AsynchronousIo.Connect, AsynchronousIo.Accept, AsynchronousIo.Read and AsynchronousIo.Write keyword for perform I/O on an asynchronous channel.
  • The Yield keyword for generating lazy streams, similar to yield in C#, Python and JavaScript.
  • The Each keyword for iterating on a collection, similar to the list comprehension feature in Scala, Haskell, OCaml, Python and Lisp.
  • The Continue keyword LDK for skipping an element in a Each collection comprehension, similar to the native \lstinline{continue} keyword in C/C++.
  • The Fork keyword for duplicating current context, similar to the fork system call in POSIX.
  • The Return keyword for early returning, similar to the native return keyword in Scala.
  • The Using keyword to automatically close resources when exiting a scope, similar to the native using keyword in C#.
  • The Monadic keyword for creating Scalaz or Cats monadic control flow, similar to the !-notation in Idris.
  • The NullSafe keyword for the null safe operator, similar to the ? operator in Kotlin and Groovy.

All the above keywords can be used together with each others. For example you can perform list comprehension to manipulate native resources in an asynchronous task by using Each, AutoClose and Shift together.

Getting Started

Suppose you want to create a random number generator. The generated numbers should be stored in a lazily evaluated infinite stream, which can be built with the help of our built-in domain-specific keyword Yield.

So, you need to add the library that contains the implementation of the keyword Yield:

// Add the following setting in your build.sbt 
libraryDependencies += "com.thoughtworks.dsl" %% "keywords-yield" % "latest.release"

And the Dsl.scala compiler plug-ins that are shared by all DSLs:

// Add the following settings in your build.sbt 
addCompilerPlugin("com.thoughtworks.dsl" %% "compilerplugins-bangnotation" % "latest.release")
addCompilerPlugin("com.thoughtworks.dsl" %% "compilerplugins-reseteverywhere" % "latest.release")

The random number generator can be implemented as a recursive function that produces the next random number in each iteration.

import com.thoughtworks.dsl.instructions.Yield
def xorshiftRandomGenerator(seed: Int): Stream[Int] = {
  val tmp1 = seed ^ (seed << 13)
  val tmp2 = tmp1 ^ (tmp1 >>> 17)
  val tmp3 = tmp2 ^ (tmp2 << 5)

Note that a keyword is a plain case class. You need a ! prefix to the keyword to activate the DSL.

It's done. We can test it in ScalaTest:

val myGenerator = xorshiftRandomGenerator(seed = 123)
myGenerator(0) should be(31682556)
myGenerator(1) should be(-276305998)
myGenerator(2) should be(2101636938)

The call to xorshiftRandomGenerator does not throw a StackOverflowError because the execution of xorshiftRandomGenerator will be paused at the keyword Yield, and it will be resumed when the caller is looking for the next number.


(Feel free to add your project here)