Typescript Sample Application

Introduction

This is a sample app to test Keploy integration capabilities using Typescript and Nhost Let's get started without delaying any further! 🎢

🛠️ Platform-Specific Requirements for Keploy

Below is a table summarizing the tools needed for both native and Docker installations of Keploy on MacOS, Windows, and Linux:

Operating System	Without Docker	Docker Installation	Prerequisites
MacOS	Guide	Guide	- Docker Desktop version must be 4.25.2 or above - Ensure that Lima is installed on your machine if you prefer to try without Docker.
Windows	Guide	Guide	- Use WSL wsl --install - Windows 10 version 2004 and higher (Build 19041 and higher) or Windows 11 - Ensure that Docker Desktop version 4.25.2 or above is installed if you are following the Docker installation guide
Linux			Linux kernel 5.15 or higher

On MacOS and Windows, additional tools are required for Keploy due to the lack of native eBPF support.

Keploy Installation

Quick Installation Using CLI

Let's get started by setting up the Keploy alias with this command:

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

You should see something like this:

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      ▓▓▓▓▀▀▀▀▓▓▓▓▓▓▌  ██  █▓  ▓▌▄▄ ▐█▓▄▓█▀ █▓█ ▀█▄▄█▀   █▓█
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Keploy CLI

Available Commands:
  example           Example to record and test via keploy
  config --generate generate the keploy configuration file
  record            record the keploy testcases from the API calls
  test              run the recorded testcases and execute assertions
  update            Update Keploy

Flags:
      --debug     Run in debug mode
  -h, --help      help for keploy
  -v, --version   version for keploy

Use "keploy [command] --help" for more information about a command.

🎉 Wohoo! You are all set to use Keploy.

Other Installation Methods

Install using Docker

Downloading and running Keploy in Docker

On macOS/Windows

Note : Keploy is not supported natively on MacOS and Windows, so you can follow the below method to run with docker

1. Open up a terminal window.

2. Create a bridge network in Docker using the following docker network create command:

docker network create keploy-network

2. Install Keploy

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

Examples:

Record:

keploy record -c "docker run -p <appPort>:<hostPort> --name <containerName> --network keploy-network <applicationImage>" --container-name "<containerName>" --buildDelay 60

Test:

keploy test --c "docker run -p <appPort>:<hostPort>  --name <containerName> --network keploy-network <applicationImage>" --delay 10

Install Natively

Downloading and running Keploy in Native

Prequisites:

• Linux Kernel version 5.15 or higher
• Run uname -a to verify the system architecture.
• In case of Windows, use WSL with Ubuntu 20.04 LTS or higher.

Downloading and running Keploy On WSL/Linux AMD

On WSL/Linux AMD

1. Open the terminal Session.
2. Run the following command to download and install Keploy:

curl --silent --location "https://github.com/keploy/keploy/releases/latest/download/keploy_linux_amd64.tar.gz" | tar xz --overwrite -C /tmp
sudo mkdir -p /usr/local/bin && sudo mv /tmp/keploy /usr/local/bin/keploy

On WSL/Linux ARM

1. Open the terminal Session
2. Run the following command to download and install Keploy:

curl --silent --location "https://github.com/keploy/keploy/releases/latest/download/keploy_linux_arm64.tar.gz" | tar xz --overwrite -C /tmp
sudo mkdir -p /usr/local/bin && sudo mv /tmp/keploy /usr/local/bin/keploy

Note: Keploy is not supported on MacOS natively.

Setting up the Docker Desktop for WSL 2

1. Install Docker Desktop for Windows from here.

When developing on Windows with Docker Desktop and WSL 2, it's crucial to configure Docker Desktop to allow WSL 2 distributions to access the Docker daemon. This setup enables seamless integration between your Windows environment, WSL 2 Linux distros, and Docker.

By default, Docker Desktop may not be configured to work with all WSL 2 distros out of the box. Proper configuration ensures that you can run Docker commands from within your WSL 2 environment, allowing for a more native Linux development experience while leveraging the power of Windows.

This setup is essential for Keploy to function correctly in a WSL 2 environment, as it needs to interact with the Docker daemon to manage containers and networks effectively. For detailed instructions on how to configure Docker Desktop for WSL 2, please refer to the official Docker documentation.

Get Started! 🎬

Setup app

Clone and install the necessary packages with the below command

git clone https://github.com/keploy/samples-typescript && cd samples-typescript/ts-nhost

npm install

Creating .env

Create a .env file which should contain HASURA_ADMIN_SECRETand GRAPHQL_ENDPOINT (as mentioned in ts-nhost/sample.env)

Steps on how to generate your HASURA_ADMIN_SECRET and GRAPHQL_ENDPOINT :

1. Go to nhost
2. Sign Up/Sign In and create new project
3. Go to Hasura Console and open Hasura (Make sure to save your secret key before going to the next step)
4. Get the x-hasura-admin-secret and GraphQL Endpoint and name them as HASURA_ADMIN_SECRET and GRAPHQL_ENDPOINT respectively in .env

Running the Application 📥

There are 2 ways you can run this sample application.

• Running Natively on Linux/WSL
• Running the app using Docker

Running Natively on Linux/WSL

We're about to set up our sample application right on Linux, with a twist—our GraphQL backend will be powered by Hasura through Nhost. And to add a bit of flair, we’ll handle the database management with Nhost’s cloud-based service.

Ready to dive in? Let’s make this setup as smooth as a breeze! 🌟

Start recording tests:

sudo -E env "PATH=$PATH" keploy record -c 'ts-node src/app.ts'

sudo -E: Runs the command with elevated privileges while preserving the user environment.

env "PATH=$PATH": Ensures that the current PATH environment variable is preserved and used.

keploy record: Invokes Keploy in recording mode.

-c 'ts-node src/app.ts': Specifies the command to start your application (in this case, using ts-node to execute the TypeScript application entry point).

Generating the test cases

1. Create User

curl --request POST \
      --url http://localhost:3000/users \
      --header 'Host: localhost:3000' \
      --header 'User-Agent: curl/8.6.0' \
      --header 'Accept: */*' \
      --header 'Content-Type: application/json' \
      --data '{
        "email": "a@gmail.com",
        "password": "123456789",
        "locale": "en",
        "displayName": "A"
      }'

2. Get User

    curl --request GET \
      --url http://localhost:3000/users \
      --header 'User-Agent: curl/8.6.0' \
      --header 'Accept: */*' \
      --header 'Content-Type: application/json' \
      --header 'Host: localhost:3000'

3. Delete User

    curl --request DELETE \
      --url http://localhost:3000/users/<ID> \
      --header 'Host: localhost:3000' \
      --header 'User-Agent: curl/8.6.0' \
      --header 'Accept: */*' \
      --header 'Content-Type: application/json'

Voila we have captured our api calls!

Explore the Keploy directory and you'll discover your handiwork in test-1.yml and mocks.yml.

This is a sample of what your yaml file would look like

version: api.keploy.io/v1beta1
kind: Http
name: test-1
spec:
    metadata: {}
    req:
        method: POST
        proto_major: 1
        proto_minor: 1
        url: http://localhost:3000/users
        header:
            Accept: '*/*'
            Content-Length: "113"
            Content-Type: application/json
            Host: localhost:3000
            User-Agent: curl/8.6.0
        body: |-
            {
                "email": "arpit@gmail.com",
                "password": "123456789",
                "locale": "en",
                "displayName": "Arpit"
              }
        timestamp: 2024-07-31T21:13:23.94427882Z
    resp:
        status_code: 200
        header:
            Access-Control-Allow-Origin: '*'
            Connection: keep-alive
            Content-Length: "142"
            Content-Type: application/json; charset=utf-8
            Date: Wed, 31 Jul 2024 21:13:24 GMT
            Etag: W/"8e-qRQmCOp8z1PPQCp1OFSshzkDzmQ"
            Keep-Alive: timeout=5
            X-Powered-By: Express
        body: '{"message":"Successfully created a user","user":{"id":"f14a7f34-c7c6-4c60-a81f-7ca895e08af0","displayName":"Arpit","email":"arpit@gmail.com"}}'
        status_message: OK
        proto_major: 0
        proto_minor: 0
        timestamp: 2024-07-31T21:13:27.09463946Z
    objects: []
    assertions:
        noise:
            header.Date: []
    created: 1722460407
curl: |-
    curl --request POST \
      --url http://localhost:3000/users \
      --header 'Host: localhost:3000' \
      --header 'User-Agent: curl/8.6.0' \
      --header 'Accept: */*' \
      --header 'Content-Type: application/json' \
      --data '{
        "email": "arpit@gmail.com",
        "password": "123456789",
        "locale": "en",
        "displayName": "Arpit"
      }'

Running the test cases

Now, let's put things to test and run the keploy in test mode again:-

sudo -E env "PATH=$PATH" keploy test -c 'ts-node src/app.ts' --delay 10

Voila!! Our test cases have passed 🌟

You will be able to see the summary of your test cases run in your terminal!

Now its time for you to experiment further with different API calls and tweak the responses accordingly!

Running the app using Docker

We will be using Docker compose to run the application as well as GraphQL on Docker container.

Capture the testcases

We will run the keploy in record mode with docker-compose to start our application:-

keploy record -c "sudo docker-compose up" --containerName "ts-nhost"

Generate the testcases

Let's generate the testcases.

Make API Calls using Hoppscotch, Postman or cURL command. Keploy will capture those calls to generate test suites containing test cases and data mocks.

1. Create User

curl --request POST \
      --url http://localhost:3000/users \
      --header 'Host: localhost:3000' \
      --header 'User-Agent: curl/8.6.0' \
      --header 'Accept: */*' \
      --header 'Content-Type: application/json' \
      --data '{
        "email": "arpit@gmail.com",
        "password": "123456789",
        "locale": "en",
        "displayName": "Arpit"
      }'

2. Get User

    curl --request GET \
      --url http://localhost:3000/users \
      --header 'User-Agent: curl/8.6.0' \
      --header 'Accept: */*' \
      --header 'Content-Type: application/json' \
      --header 'Host: localhost:3000'

3. Delete User

    curl --request DELETE \
      --url http://localhost:3000/users/<ID> \
      --header 'Host: localhost:3000' \
      --header 'User-Agent: curl/8.6.0' \
      --header 'Accept: */*' \
      --header 'Content-Type: application/json'

Running the testcases

Let's run our captured test cases

keploy test -c 'sudo docker-compose up' --containerName "ts-nhost" --delay 10

This is what your response should look like!

Wrapping it up 🎉

🎉 Congratulations on Reaching This Milestone! 🎉

You've successfully tested the tool and created your mocks and test cases—fantastic work! Now that you've laid a solid foundation, it's time to elevate your achievements even further.

Here’s to building more, innovating, and reaching new heights with your project! 🚀

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