Let's add tests to our small program. We'll import <for-students/lesson1/2-project> in our IDE.

This is the directory schema of a Scala project. For adding tests, we should do the following:

For adding dependency, let's add the following line to our build.sbt:

libraryDependencies += "org.scalatest" %% "scalatest" % "3.0.4" % "test"

It's an expression in Scala DSL (domain-specific language), which means that we should add scalatest to our set of library dependencies. Operators %% and % are used for forming the name and classifier for published artifacts. You can refer to the sb t documentation for more detail: http://www.scala-sbt.org/1.x/docs/Library-Dependencies.html.

Before compilation, sbt will download scalatest from a publicly available repository (Maven central), and when running tests, it will add scalatest to the classpath.

We will now run sbt tests from the command line.

We will now see how to run sbt tests from IDEA IDE.

We'll now run sbt Tests from IDEA IDE.

Now let's look at a simple test:

package com.packt.courseware.l1
import org.scalatest.FunSuite

class ExampleSpec extends FunSuite {

  test("example test  should pass") {
     assert(1==1)
  }

}

Here, we define a class which is inherited from scalatest FunSuite.

The test expression is called. When the FunSuite class is initialized and added to a set of tests, the test with name example test should pass and assert an expression as an argument. For now, this looks like magic, but we will show you how to build such DSLs in the next chapter.

Let's run our test with the help of sbt:

sbt test

This command will run all tests and evaluate the test expression.

Now, we'll add another test.

Remember that, when writing chatbot, we want to test one functionality. Our original program only has one function ( main), which contains all of the logic and can't be split into testable parts.

Let's look at Version 2.

package com.packt.courseware.l1

import java.time.LocalTime
import java.time.format.DateTimeFormatter
import scala.io.StdIn

case class LineProcessResult(answer:String,timeToBye:Boolean)

object Chatbot2 {

  def main(args: Array[String]): Unit = {
    val name = StdIn.readLine("Hi! What is your name? ")
    println(s" $name, tell me something interesting, say 'bye' to end the talk")

    var c = LineProcessResult("",false)
    while(!c.timeToBye){
      c = step(StdIn.readLine(">"))
      println(c.answer)
    }

  }

  def step(input:String): LineProcessResult = {
    input match {
      case "bye" => LineProcessResult("ok, bye", true)
      case "time" => LineProcessResult(LocalTime.now().format(DateTimeFormatter.ofPattern("HH:mm:ss")),false)
      case _ => LineProcessResult("interesting...", false)
    }
  }

}

Here, we see some new constructs:

LineProcessingResult is a case class, where the result of processing one of the lines (that is, the chatbot answer and quit flag) is stored.

What is the word case before class?

case classes can participate in pattern matching (while we call one case) and are usually used for data objects. We will look at case classes during the next chapter. It is important to see that an instance of case classes can be created with the LineProcessingResult(x,y) syntax (that is, without new) and an argument to case class constructors ( answers and timeToBye), which automatically become instance variables of the case class.

The functionality of processing one line is encapsulated in the step method, which we can test.

Step receives input from the method argument, not from System.in, therefore making it easier to test. In the case of directly testing the main method, we will need to substitute System.in before test and return one back after the test is finished.

Ok, let's focus on the first test:

package com.packt.courseware.l1

import org.scalatest.FunSuite

class StepTestSpec extends FunSuite {

  test("step of unparded word must be interesting") {
    val r = Chatbot2.step("qqqq")
    assert(! r.timeToBye)
    assert(r.answer == "interesting...")
  }

}

Writing the second test in the same manner will be an easy task. We will look at this in the following exercise.

Now, let's add the second test, which checks bye.

A more complex task would be to write a test for the time query.

Please note that we can't run the test with the concrete time value, but at least we can be sure that the bot answer can't be parsed back to the time form.

So, what can we do to check the line answer and try to transform it back to time? The solution is provided in the following code:

test("local time must be parser") {
val r = Chatbot2.step("time")
val formatter = DateTimeFormatter.ofPattern("HH:mm:ss")
val t = LocalTime.parse(r.answer,formatter)// assertion is not necessary
}

Note that assertion is not necessary. If time does not satisfy the given format, then an exception will be thrown.

It is a good practice to separate functional and effects time for testing. To do this, we will need to substitute the provider of the system time via own.

This will be the first practical task in the next chapter.

Now, let's add the date command to our chatbot program.