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* feat: add support for linux mint in adding CAs

Signed-off-by: Pranshu Srivastava <iampranshu24@gmail.com>

* fix: fixed linux mint issues

Signed-off-by: Pranshu Srivastava <iampranshu24@gmail.com>

* style: removed uneccesary println lines

Signed-off-by: Pranshu Srivastava <iampranshu24@gmail.com>

* fix: added default paths for debian and red hat distros

Signed-off-by: Pranshu Srivastava <iampranshu24@gmail.com>

* style: removed unnecessary files

Signed-off-by: Pranshu Srivastava <iampranshu24@gmail.com>

* style: improved logging

Signed-off-by: Pranshu Srivastava <iampranshu24@gmail.com>

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Signed-off-by: Pranshu Srivastava <iampranshu24@gmail.com>
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keploy logo

⚡️ Backend tests faster than unit-tests, from user traffic ⚡️

🌟 The must-have tool for developers in the AI-Gen era 🌟

🎤 Introducing Keploy 🐰

Keploy is a developer-centric backend testing tool. It makes backend tests with built-in-mocks, faster than unit tests, from user traffic, making it easy-to-use, powerful and extensible. 🛠

Ready for the magic? Here are Keploy's core features:

  • ♻️ Combined Test Coverage: Merge your Keploy Tests with your fave testing libraries(junit, go-test, py-test, jest) to see a combined test-coverage.

  • 🤖 EBPF Instrumentation: Keploy uses EBPF like a secret sauce to make integration code-less, language agnostic, and oh-so-lightweight.

  • 🌐 CI/CD Integration: Run tests with mocks anywhere you like—locally on the CLI, in your CI pipeline, or even across a Kubernetes cluster. It's testing wherever you want it!

  • 🎭 Multi-Purpose Mocks: Use 'em in existing tests, as server tests, or just to impress your friends!

  • 📽️ Record-Replay Complex Flows: Keploy can record and replay complex, distributed API flows as mocks and stubs. It's like having a time machine for your tests—saving you tons of time!

Generate Test Case from API call

🐰 Fun fact: Keploy uses itself for testing! Check out our swanky coverage badge: Coverage Status  

🌐 Language Support

From Go's gopher 🐹 to Python's snake 🐍, we support:

Go Java NodeJS Python

🎩 How's the Magic Happen?

Our magical 🧙‍♂️ Keploy proxy captures and replays ALL(CRUD operations, including non-idempotent APIs) your app's network interactions.

Take a journey to How Keploy Works? to discover the tricks behind the curtain!

Generate Test Case from API call

📘 Get Schooled!

Become a Keploy pro with our Documentation.

💖 Let's Build Together!

Whether you're a newbie coder or a wizard 🧙‍♀️, your perspective is golden. Take a peek at our:

📜 Contribution Guidelines

❤️ Code of Conduct

Quick Installation

Using Binary ( Linux / WSL)

Keploy can be utilized on Linux natively and through WSL on Windows.

Download the Keploy Binary.

AMD Architecture

curl --silent --location "https://github.com/keploy/keploy/releases/latest/download/keploy_linux_amd64.tar.gz" | tar xz -C /tmp

sudo mkdir -p /usr/local/bin && sudo mv /tmp/keploy /usr/local/bin && keploy

ARM Architecture

curl --silent --location "https://github.com/keploy/keploy/releases/latest/download/keploy_linux_arm64.tar.gz" | tar xz -C /tmp

sudo mkdir -p /usr/local/bin && sudo mv /tmp/keploy /usr/local/bin && keploy

Capturing Testcases

To initiate the recording of API calls, execute this command in your terminal:

sudo -E keploy record -c "CMD_TO_RUN_APP"

For instance, if you're using a simple Golang program, the command would resemble:

sudo -E keploy record -c "go run main.go"

Running Testcases

To run the testcases and generate a test coverage report, use this terminal command:

sudo -E keploy test -c "CMD_TO_RUN_APP" --delay 10

For example, if you're using a Golang framework, the command would be:

sudo -E keploy test -c "go run main.go" --delay 10

Docker Installation

Keploy can be used on Linux & Windows through Docker.

⚠️Note: MacOS users need to install Colima. Windows users need to install WSL.

Creating Alias

To establish a network for your application using Keploy on Docker, follow these steps.

If you're using a docker-compose network, replace keploy-network with your app's docker_compose_network_name below.

docker network create keploy-network

Then, create an alias for Keploy:

alias keploy='sudo docker run --pull always --name keploy-v2 -p 16789:16789 --network keploy-network --privileged --pid=host -it -v "$(pwd)":/files -v /sys/fs/cgroup:/sys/fs/cgroup -v /sys/kernel/debug:/sys/kernel/debug -v /sys/fs/bpf:/sys/fs/bpf -v /var/run/docker.sock:/var/run/docker.sock --rm ghcr.io/keploy/keploy'

Recording Testcases and Data Mocks

Here are few points to consider before recording!

  • If you're running via docker compose, ensure to include the <CONTAINER_NAME> under your application service in the docker-compose.yaml file like this.
  • Change the network name (--network flag) from keploy-network to your custom network if you changed it above.
  • Docker_CMD_to_run_user_container refers to the Docker command for launching the application.

Utilize the keploy alias we created to capture testcases. Execute the following command within your application's root directory.

keploy record -c "Docker_CMD_to_run_user_container --network keploy-network" --containerName "<containerName>"

Perform API calls using tools like Hoppscotch, Postman, or cURL commands.

Keploy will capture the API calls you've conducted, generating test suites comprising testcases (KTests) and data mocks (KMocks) in YAML format.

Running Testcases

Now, use the keployV2 Alias we created to execute the testcases. Follow these steps in the root directory of your application.

When using docker-compose to start the application, it's important to ensure that the --containerName parameter matches the container name in your docker-compose.yaml file.

keploy test -c "Docker_CMD_to_run_user_container --network keploy-network" --containerName "<containerName>" --delay 20

Voilà! 🧑🏻‍💻 We have the tests with data mocks running! 🐰🎉

You'll be able to see the test-cases that ran with the results report on the console as well locally in the testReport directory.

🤔 Questions?

Reach out to us. We're here to help!

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🌟 Features

🚀 Export, maintain, and show off tests and mocks!

Generate Test Case from API call

Generate Test Case from API call

🕵️ Detect noise with surgeon-like precision!

Filters noisy fields in API responses like (timestamps, random values) to ensure high quality tests.

📊 Say 'Hello' to higher coverage!

Keploy ensures that redundant testcases are not generated.

🐲 The Challenges We Face!

  • Unit Testing: While Keploy is designed to run alongside unit testing frameworks (Go test, JUnit..) and can add to the overall code coverage, it still generates E2E tests.
  • Production Lands: Keploy is currently focused on generating tests for developers. These tests can be captured from any environment, but we have not tested it on high volume production environments. This would need robust deduplication to avoid too many redundant tests being captured. We do have ideas on building a robust deduplication system #27

✨ Resources!

🤔 FAQs

🕵️‍️ Why Keploy

⚙️ Installation Guide

📖 Contribution Guide

🌟 Hall of Contributors