Introduction to Groovy Scripting

IDT-GD-200 — Student Workbook

© 2026 Identitrain, Inc. All Rights Reserved.IDT-GD-200 rev A

Exercise 1: Writing a Hello World Application

In this exercise, you complete the following tasks:

Task 1 – Set up IntelliJ Idea

Task 2 – Write and run a program with generic tools

Task 3 – Write and run a program with Groovy Console

Task 4 – Write and run a program with Intellij Idea from JetBrains

Preparation

To prepare for this exercise, use the following steps to make sure your environment is set up correctly:

Check the Java installation:

Open a command prompt by entering “cmd” in the search window in the task bar

Type java -version

The output should look like this:

Check the Groovy installation:

In the same command window type groovysh

The Groovy Shell will activate. Test by typing “1+1” at the prompt.

The result should be 2. Now type “:exit”.

The command prompt window should look like this now:

Task 1 – Using Set up IntelliJ Idea

Now we set up Intellij Idea

Start Idea and select Create New Project from the splash screen

Select Groovy as the project type

Press the New button and point the Project SDK to the Java SDK installation directory

Press the Create button and point the Groovy Library to your equivalent of C:\Program Files\Groovy\Groovy-3.0.7

Press Next. Call your project Hello World and choose a location for it.

Task 2 – Using Generic Tools

In this task, you write your little program using the most basic of tools – a Task 1 – Using Generic Tools

In this task, you write your little program using the most basic of tools – a text editor, the Groovy compiler and the command prompt.

Using a text editor of your choice (Notepad, for example) create a new text file called HelloWorld.Groovy in the same directory as your Intellij Idea project.

All it needs to contain is the single line

println(“Hello world”)

Open a command prompt and cd to your chosen directory

To run the script, type groovy HelloWorld

To compile the script, type groovyc HelloWorld.groovy

Task 3 – Using the Groovy Console

In this task, you write your little program using the Groovy console – a

feature very handy for prototyping.

Open a command prompt and cd to the correct directory as before.

Type groovyConsole and wait for the window to pop up.

Open your program file

Select Script/ Run from the menu.

Modify the message and run it again.

Task 4 – Using IntelliJ Idea

In this task, you write your little program using the IntelliJ Idea – a full featured IDE from JetBrains.

Start Idea from the desktop shortcut or the start menu

When you select Run, you will be prompted to edit configurations. All you need to do is to point to the script file.

An execution pane appears near the bottom of the window.

© 2026 Identitrain, Inc. All Rights Reserved.IDT-GD-200 rev A

Exercise 2: Strings and Templates

In this exercise, you complete the following tasks:

Task 1 – Create a string template for Welcome Email

Preparation

No special preparation is required.

Task 1 – Create a string template for Welcome Email

In this task there is no single correct answer. We want to create a template to send students a welcome email and show them where they can access their files both on their machines and on the web. You should be able to demonstrate your understanding of using strings in Groovy.

The email template should use variables for the student name, the path to their local files, the web uri for their work, and the class name. The path to their local files will be \\Users\\{studentName}\\{className}\\files and the web uri will be http://www.example.com/{studentName}/{className}/files

Create a script called WelcomeEmail.groovy

Declare variables for the student name, class, local files, and uri

Use the variables in a template to generate a formatted email that can be sent to the student during registration.

Print the email to the console and verify it is formatted correctly.

Change the student name and the class and verify the email is correctly generated still.

© 2026 Identitrain, Inc. All Rights Reserved.IDT-GD-200 rev A

Exercise 3: Using Control Structures

In this exercise, you complete the following tasks:

Task 1 – Demonstrate the use of a switch statement for specific logic implementation

Task 2 - Implement the same logic using an if-else statement and compare the 2 approaches.

Task 3 - Demonstrate the use of a while loop to implement a requirement

Task 4 - Implement the same logic as a for loop and compare the 2 approaches.

Task 1 – Demonstrate the use of a switch statement for specific logic implementation

Create a switch statement where

if the variable is 1, prints ‘Number One’.

If the value is a string, it prints ‘Its a string’.

If the value is null, it prints ‘Its null’.

And if it is none of those, then it prints ‘No match’.

Update the switch statement to print both its null and no match for null values.

Task 2 – Implement the same logic using an if-else statement and compare the 2 approaches.

Rewrite the switch statement from Task 1 into an if-elsif-else structure

Compare the two implementations. Which do you prefer? Why?

Task 3 – Demonstrate the use of a while loop to implement a requirement

Write a while loop to print all multiples of 7 up to 100.

Modify the while loop with a condition that only prints the number if it is greater than 50.

Task 4 – Implement the same logic as a for loop and compare the 2 approaches.

Rewrite your while loop into a for loop that does the same thing

Compare the two implementations. Which do you prefer? Why?

© 2026 Identitrain, Inc. All Rights Reserved.IDT-GD-200 rev A

Exercise 4: Using Classes, Interfaces, and Traits

In this exercise, you complete the following tasks:

Task 1: Create a class hierarchy for Employee, Contractor, ServerNode and CellPhone
Task 2: Add a new class for Auditor and a new Class for Monitor.

Task 3: Implement a verifyIdentity method for each of the classes we created above. The implementation for them can be different. Task 4: Verify that the classes work as expected by creating a script to test the methods on them.

Preparation

No special setup is required.

Task 1 – Create a class hierarchy for the following Identity objects

Employee

With properties firstName, lastName, email, employeeId, origin, discoverDate, ssn

Contractor

With properties firstName, lastName, email, contractorId, companyName, origin, discoverDate, ssn

ServerNode

With properties nodeId, clientCertificate, macAddress, origin, discoverDate

CellPhone

With properties imsi, clientCertificate, macAddress, origin, discoverDate

All objects should have a method to print their identifier to the console. i.e. ‘My Identifier is 1234’.

All objects should use their own unique property to identify themselves

employeeId, contractorId, nodeId, imsi respectively.

Task 2 – Add 2 new classes, for Auditor and Monitor

Auditor

With properties firstName, lastName, email, auditorId, origin, discoverDate, ssn

Monitor

With properties monitorId, clientCertificate, macAddress, origin, discoverDate

If your class hierarchy is set up effectively, adding these classes will be trivial

Task 3 – Add a verifyIdentity implementation to your classes

Employee

Should match employeeId and password

Contractor

Should match contractorId and password

Auditor

Should match auditorId and password

ServerNode

Should match nodeId and clientCertificate

CellPhone

Should match ismi and clientCertificate

Monitor

Should match monitorId and clientCertificate

Task 4 – Make a script to build new instances of your classes and test their verifyIdentity functions.

Create VerifyIdentities and set the unique identifier and the secret in the constructor.

Call verifyIdentity on the objects with correct and incorrect values and verify that it is functioning accordingly

© 2026 Identitrain, Inc. All Rights Reserved.IDT-GD-200 rev A

Exercise 5: Regular Expressions

In this exercise, you complete the following tasks:

Task 1: Use regular expressions to find data matches and evaluate whether input matches a regular expression

Task 2: Write a Map to contain first and last names

Preparation

Create a new Groovy Script file and add the following to it: def input = """ Hey, its Patrick LaVoie - here's the info you requested: I was born on December 22, 2002. My social security number is 513-87-5490. If it asks for my security question, my dogs name is spot."""

def input2 = """ Hey, its Kelly LaVoie - here's the info you requested: I was born on November 22, 2006. My social security number is 123-45-6789. If it asks for my security question, my dogs name is jimbo."""

def notAnSSN = "0123456789" def isAnSSN = "098-76-5432"

def findDates(data) { //Implement This }

def findSSNs(data) { //Implement This }

def isSSN(data) { //Implement This }

assert findDates(input) == ["December 22, 2002"]; assert findSSNs(input)[0].equals("513-87-5490")

assert findDates(input2)[0] == "November 22, 2006" assert findSSNs(input2).equals(["123-45-6789"]);

assert isSSN(notAnSSN) == false assert isSSN(isAnSSN) == true

Task 1 – Use RegEx to find data and confirm data matches.

Implement the findDates, findSSNs, and isSSN methods so that the assertions pass.

© 2026 Identitrain, Inc. All Rights Reserved.IDT-GD-200 rev A

Exercise 6: Closures

In this lab, we will explore some core functionalities of closures. Students will demonstrate using anonymous closures for iterators and will also demonstrate their understanding of closure resolution strategies.

Preparation

For Task 1, you will need the class hierarchy we completed in Exercise 4\.

Task 1 – Implement a closure to show the identifiers for the objects we created in Lab 4.

Create some instances of Employee, Contractor, and ServerNode.

Define an array containing those instances.

Use the each() function to iterate through the objects and call showIdentity on them.

Task 2: Show the how changing the resolution strategy affects closure execution

In this lab, you will create a class called Name. Name has a property of name and a closure to printName. We will demonstrate that by changing the resolution strategy, you can change the output of the script execution.

Create the name class in the script. It should look like this:

class Name {

def name

def printName = {

println "Delegate name is $name**"**

}

}

Create a new instance of Name with a name ‘Patrick’ (or whatever)

Create a new instance of Name with a different name.

run printName on each of the objects and verify the expected outcome where each Name prints the name you set.

Change the closure on the Name with ‘Patrick’ (or whatever) so that it will print the other name WITHOUT changing the Name class definition.

run printName on the ‘Patrick’ (or whatever) Name and verify it prints the other name.

© 2026 Identitrain, Inc. All Rights Reserved.IDT-GD-200 rev A

Exercise 7: Builders

In this lab, we will use the Groovy builders to perform some common actions encountered in development. First, we’ll parse an XML structure, pull some data from it, then print an XML document in a different format. In Task 2, you will use the MarkupBuilder again to create a SAML Authentication Request. In Task 3, you will use the JsonBuilder to create a valid JWT token.

Preparation

No special preparation required.

Task 1 – Parse XML, pull data from it, and produce XML in a different format

Parse the following XML:

<AuthenticationRequest>

<Subject type='Person'>

<UserName>plavoie</UserName>

<Password>s3cr3t\!\!</Password>

<IPAddress>127.0.0.1</IPAddress>

</Subject>

</AuthenticationRequest>

Once you’ve parsed it, use the MarkupBuilder to build this XML structure based on the data in the XML above:

<person>

<name>plavoie</name>

<password></password>

</person>

Task 2 – Create a SAML Authentication Request

Create the following XML to model an Authentication Request:

<\?xml version='1.0'?>

<samlp:AuthnRequest xmlns:samlp='urn:oasis:names:tc:SAML:2.0:protocol' xmlns:saml='urn:oasis:names:tc:SAML:2.0:assertion'>

<saml:Issuer>[http://sp.example.com/auth/sp-example.html](http://sp.example.com/auth/sp-example.html)</saml:Issuer>

<samlp:NameIDPolicy Format='urn:oasis:names:tc:SAML:1.1:nameid-format:emailAddress' AllowCreate='true' xmlns:samlp='urn:oasis:names:tc:SAML:2.0:protocol' xmlns:saml='urn:oasis:names:tc:SAML:2.0:assertion'/>

<samlp:RequestAuthnContext Comparison='exact' xmlns:samlp='urn:oasis:names:tc:SAML:2.0:protocol'   xmlns:saml='urn:oasis:names:tc:SAML:2.0:assertion'>

<saml:AuthnContextClassRef>

</saml:AuthnContextClassRef>

</samlp:RequestAuthnContext>

</samlp:AuthnRequest>

Use the StreamingMarkupBuilder to do this.

https://docs.groovy-lang.org/latest/html/gapi/groovy/xml/StreamingMarkupBuilder.html

Task 3 – Create a JWT Token using the JsonBuilder

In this lab, you will create a JWT token that can be decoded by industry tools. A JWT is composed of 3 parts - the Header, Payload, and Signature. We will first build the Header, then the Payload, and lastly the Signature.

To properly sign a JWT, you need to use a hashing algorithm - since that is beyond the scope of the course, here is a function you can use:

def hmac_sha256(String secretKey, String data) {

try {

Mac mac \= Mac.*getInstance*("HmacSHA256")

SecretKeySpec secretKeySpec \= new SecretKeySpec(secretKey.getBytes(), "HmacSHA256")

mac.init(secretKeySpec)

mac.doFinal(data.getBytes())

} catch (InvalidKeyException e) {

throw new RuntimeException("Invalid key exception while converting to HMac SHA256")

}

}

The header is composed of the algorithm (alg) and type (typ). For our lab, the values will be “HS256” and “JWT” respectively. Build a json object with those properties.

After building the JSON object, you’ll need to base64URL encode it - here is a snippet of code for that:

toString().getBytes().encodeBase64Url()

Next, you’ll need to create the payload. Our payload will only include 2 properties - these are the custom pieces where you put the values that your application might want to have passed. The 2 properties we want to have in our payload are Subject (sub) and Name (name). Build a JSON object with those 2 properties set to values.

Base64URL encode the payload using the same snippet above.

Lastly, we’ll build the signature. For that you’ll use the function from step 2. The secret in that function will be used to verify the payload has not been tampered with by the system that processes the JWT.

You’ll need to also Base64URL encode the signature.

Print the JWT token out - The format is Header.Payload.Signature. It should look similar to this:

eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJwYXRsYXZvaWUiLCJuYW1lIjoiUGF0cmljayBMYVZvaWUifQ.wfwpiQ6AzKUYBXafpOGGWNc7j2NrW3PQcsdabvGZp34

Verify your token in jwt.io - to verify the signature, you’ll need the password you used in the hmac_sha256 function.

© 2026 Identitrain, Inc. All Rights Reserved.IDT-GD-200 rev A

Exercise 8: Using REST Based APIs

In this exercise, we will use a REST service that provides an API for a deck of cards and also provides API’s to deal those cards. We will call the API to return cards and optionally we will implement logic to play an abbreviated blackjack game (21).

Task 1 - Review the API documentation at http://deckofcardsapi.com/

Take special note of how to shuffle and get a deck id. Also, take note of how to draw cards from the deck you’ve requested.

There are endpoints for other things like piles and partial decks etc. Those won’t be required for this lab.

Task 2 - Implement the REST calls for retrieving a shuffled deck of cards and dealing those cards

Take a look back at our presentation and use the RESTClient to perform GET requests on the API endpoints you identified above.

Parse the data that is returned from the REST calls to retrieve the data that you’ll need to play the blackjack game. In particular, you’ll need to be able to get the deck Id and the card values.

Task 3 (Optional) - Implement the logic for 21

Deal the dealer 2 cards and calculate the total value of the hand using these values:

Aces are always 11

King, Queen, Jack are always 10

Numbered cards are always the number

For Example, a hand of Ace, 2 has a value of 13. A hand of King, Jack has a value of 20. A hand of 5, 7 has a value of 12.

Deal the player 2 cards and calculate the total value of that hand.

Continue play as follows:

If the player has less than 16 but no more than 21, then he must take another card

If the dealer has less than 17 but no more than 21, then he must take another card

After the dealing is done, if the player has less than 22 and the dealer has more than 21, then the player wins!

If the player has less than 22, and the dealer has less than 22, then the highest value hand wins. If both hands have the same value, then the player wins.

Exercise 9: Reading from a file and writing to a DB

In this exercise you will load a file from the file system, create a database in memory, then add and update the database with the records found in the file.

Task 1 - Read and parse a file using the File API from Groovy

There is a file in the lab package called data.txt that contains records to be loaded into a database.

Open the file and parse the records into an array

Task 2 - Database Development - Write a script to create an in-memory database and load it with the records from Task 1

Use a grape to import the H2 database:

@Grab(group="com.h2database", module="h2", version="1.4.200")

The URL for an in-memory database in h2 is jdbc:h2:mem:test

In the script, use the Sql class to create the following table:

CREATE TABLE users (

id INT NOT NULL,

username VARCHAR(45) NOT NULL,

firstname VARCHAR(45) NOT NULL,

lastname VARCHAR(45) NOT NULL,

hiredate DATE NOT NULL,

PRIMARY KEY (id)

);

The date format in the text file is different from the date expected by the database. You will have to parse and reformat the date.

Once you’ve reformatted the date, insert the records into the database that you’ve created:

insert into users values (a,b,c,d,e);

Then, verify the records are inserted by printing the count of records in the database:

select count(*) as count from users;

Use an update statement to update the plavoie records hire date to 7/23/2020.

update users set hiredate='2020-07-23' where username = 'plavoie'

Verify the hiredate was updated by printing the result of a select statement:

select * from users where username = 'plavoie'

: 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