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Version: 3.0.0

Example Employee-Manager App

A sample Employee-Manager app to test Keploy integration capabilities using SpringBoot and PostgreSQL.

Don’t have Keploy installed yet?

Before running this sample, make sure Keploy is installed on your system.

👉 Go to Installation Guide

Setup Employee-Manager App

Application Pre-Requisites

  • Java 1.8+ or <17 ☕
  • Maven 🛠️

Clone the repository and install the dependencies

git clone https://github.com/keploy/samples-java && cd samples-java/employee-manager
mvn clean install -Dmaven.test.skip=true

Instructions For Starting Using Binary

Setup the backend

You need to update the postgresql properties, go to employee-manager/src/main/resources/application-postgresql.properties and change

spring.datasource.url=jdbc:postgresql://postgres:5432/keploy-test/

to

spring.datasource.url=jdbc:postgresql://localhost:5432/keploy-test/

and then build the jar using:

mvn clean install -Dmaven.test.skip=true

Start the Postgres DB 🐳

docker run -e POSTGRES_USER=keploy-user -e POSTGRES_PASSWORD=keploy -e POSTGRES_DB=postgres -p 5432:5432 --name postgres postgres:15.2

Note: You may have to use sudo if you are not part of the docker group.

Capture the testcases 🎬

keploy record -c "java -jar target/springbootapp-0.0.1-SNAPSHOT.jar"

Testcases

Now let's run a few tests to capture some more scenarios:

Generate testcases 📝

To generate testcases we just need to make some API calls. You can use Postman or simply curl

  1. Make an employee entry 📥
curl --location --request POST 'http://localhost:8080/api/employees' \
--header 'Content-Type: application/json' \
--data-raw '{
"firstName": "Myke",
"lastName": "Tyson",
"email": "mt@gmail.com",
"timestamp":1
}'

this will return the response or an entry. The timestamp would automatically be ignored during testing because it'll always be different.

{
"id": 1,
"firstName": "Myke",
"lastName": "Tyson",
"email": "mt@gmail.com",
"timestamp": 1661493301
}
  1. Fetch recorded info about employees
curl --location --request GET 'http://localhost:8080/api/employees/1'

or by querying through the browser http://localhost:8080/api/employees/1

Now both these API calls were captured as editable testcases and written to keploy/test folder. The keploy directory would also have mock.yml file.

Now, let's see the magic! 🪄💫

Run the test cases

First lets shutdown the database to verify that keploy's magic is taking care of the database mocking. No need to worry about the database anymore! 🎉

docker-compose down

Now, let's run the keploy in test mode: -

keploy test -c "java -jar target/springbootapp-0.0.1-SNAPSHOT.jar" --delay 10

This will run the testcases and generate the report in keploy/reports folder. You will see the following output:-

🐰 Keploy: 2025-04-17T13:30:11+05:30    INFO    starting test for of    {"test case": "[test-1]", "test set": "[test-set-0]"}
2025-04-17 13:30:11.410 INFO 28035 --- [nio-8080-exec-1] o.a.c.c.C.[Tomcat].[localhost].[/] : Initializing Spring DispatcherServlet 'dispatcherServlet'
2025-04-17 13:30:11.410 INFO 28035 --- [nio-8080-exec-1] o.s.web.servlet.DispatcherServlet : Initializing Servlet 'dispatcherServlet'
2025-04-17 13:30:11.410 INFO 28035 --- [nio-8080-exec-1] o.s.web.servlet.DispatcherServlet : Completed initialization in 0 ms
Testrun failed for testcase with id: "test-1"

--------------------------------------------------------------------

+-------------------------------------------------------------------------------------------------------------+
| DIFFS TEST-1 |
+-------------------------------------------------------------------------------------------------------------+
| EXPECT HEADER | ACTUAL HEADER |
| -----------------------------------------------------+----------------------------------------------------- |
| | |
| |
| EXPECT BODY | ACTUAL BODY |
| -----------------------------------------------------+----------------------------------------------------- |
| { | { |
| "timestamp": "1744871332" , | "timestamp": "1744876811" , |
| lastName:Tyson | lastName:Tyson |
| } | } |
| | |
| |
+-------------------------------------------------------------------------------------------------------------+
🐰 Keploy: 2025-04-17T13:30:11+05:30 INFO result {"testcase id": "[test-1]", "testset id": "[test-set-0]", "passed": "[false]"}
🐰 Keploy: 2025-04-17T13:30:11+05:30 INFO starting test for of {"test case": "[test-2]", "test set": "[test-set-0]"}
Testrun passed for testcase with id: "test-2"

--------------------------------------------------------------------

🐰 Keploy: 2025-04-17T13:30:11+05:30 INFO result {"testcase id": "[test-2]", "testset id": "[test-set-0]", "passed": "[true]"}

<=========================================>
TESTRUN SUMMARY. For test-set: "test-set-0"
Total tests: 2
Total test passed: 1
Total test failed: 1
Time Taken: "10.37 s"
<=========================================>
<=========================================>```

Did you spot that the timestamp is showing some differences? Yep, time has a way of doing that! 🕰️

Worry not, just add the ever-changing fields (like our ts here) to the noise parameter to dodge those assertions.

Pro tip: Add body.timestamp to noise in keploy.yml.

Adding Noise to Test case Java Postgres Employee Manager App

Run that keploy test command once more and watch as everything falls into place with all tests passing! 🌟

Final thoughts? Dive deeper! Try different API calls, tweak the DB response in the mocks.yml, or fiddle with the request or response in test-x.yml. Run the tests again and see the magic unfold! ✨👩‍💻👨‍💻✨

Next we move on to the instructions to start the application using docker.


Instructions For Starting Using Docker

Don’t have Keploy installed yet?

Before running this sample, make sure Keploy is installed on your system.

👉 Go to Installation Guide

Capture the testcases 🎬

keploy record -c "docker compose up" --container-name javaApp --build-delay 100
Sample Keploy Record Java

Now let's run a few tests to capture some more scenarios:

Generate testcases 📝

To generate testcases we just need to make some API calls. You can use Postman or simply curl

  1. Make an employee entry 📥
curl --location --request POST 'http://localhost:8080/api/employees' \
--header 'Content-Type: application/json' \
--data-raw '{
"firstName": "Myke",
"lastName": "Tyson",
"email": "mt@gmail.com",
"timestamp":1
}'

this will return the response or an entry. The timestamp would automatically be ignored during testing because it'll always be different.

{
"id": 1,
"firstName": "Myke",
"lastName": "Tyson",
"email": "mt@gmail.com",
"timestamp": 1661493301
}
  1. Fetch recorded info about employees
curl --location --request GET 'http://localhost:8080/api/employees/1'

or by querying through the browser http://localhost:8080/api/employees/1

Now both these API calls were captured as editable testcases and written to keploy/test folder. The keploy directory would also have mock.yml file.

Now, let's see the magic! 🪄💫

Running the testcases using Keploy

keploy test -c "docker compose up" --container-name javaApp --build-delay 50 --delay 20

Your CLI should look something like this

Sample Keploy Test Java

This is a summary of the test cases recorded

Sample Keploy Test Summary Java

Here delay is the time it takes for your application to get started, after which Keploy will start running the testcases. If your application takes longer than 10s to get started, you can change the delay accordingly. buildDelay is the time that it takes for the image to get built. This is useful when you are building the docker image from your docker compose file itself.

🎉 Wrapping it up

Congrats on the journey so far! You've seen Keploy's power, flexed your coding muscles, and had a bit of fun too! Now, go out there and keep exploring, innovating, and creating! Remember, with the right tools and a sprinkle of fun, anything's possible. 😊🚀

🚀 Wanna try Keploy in CI/CD?

We got you 😎
Here’s how to set it up with GitHub Actions:
👉 Keploy + GitHub CI/CD Guide

Hope this helps you out, if you still have any questions, reach out to us .

Questions? 🤔💭

For any support please join keploy slack community to get help from fellow users, or book a demo if you're exploring enterprise use cases.