A sample application that get, create, update, and delete the data of a user in the database (MongoDB for this application).

1. Go 1.16 or later
2. Docker for running Keploy server
3. Thunder Client / Postman Desktop Agent for testing localhost APIs
4. Code Editor (VSCode, Sublime Text, etc.)

git clone https://github.com/keploy/samples-go && cd users-profile

go mod download

curl --silent -O -L https://keploy.io/install.sh && source install.sh

Keploy can be used on Linux, Windows and MacOS through Docker.

Note: To run Keploy on MacOS through Docker the version must be 4.25.2 or above.

Using the docker-compose file we will start our mongodb instance:-

sudo docker-compose up -d mongo

Now, we will create the docker image of our application:-

go build -cover

keploy record -c "./app"

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

• /user : POST - Create a new user in the database
• /user/:userId : GET - Get a user from the database
• /user/:userId : PUT - Edit an existing user in the database
• /user/:userId : DELETE - Delete an existing user from the database
• /users : GET - Get all users from the database

Post Request

here you can use this object template below for testing:

#you can copy paste this object template:

curl -X POST -H "Content-Type: application/json" -d '{
  "username": "Sonichigo",
  "name": "Animesh Pathak",
  "nationality": "Indian",
  "title": "Developer Advocate at Keploy",
  "hobbies": "Drumming",
  "linkedin": "@sonichigo",
  "twitter": "@sonichigo1219"
}' "http://localhost:8080/user"

GET Request

Once done, you can see the Test Cases on the Keploy server, like this:

Now that we have our testcase captured, run the test file.

keploy test -c "./app" --goCoverage --delay 10

Once done, we can see that there is a noise present in our testcase:

Let's add body.data.InsertedID: [] under noise in test-1.yaml on line 43 Now let's run the test mode once again: -

Voila! Our testcases have passed🥳 . We can also notice that by capturing just few API calls we got around 87.5% of aggregated coverage with keploy generated testcases

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