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· 4 min read

KCL is a constraint-based record and functional language hosted by Cloud Native Computing Foundation (CNCF) that enhances the writing of complex configurations, including those for cloud-native scenarios. With its advanced programming language technology and practices, KCL is dedicated to promoting better modularity, scalability, and stability for configurations. It enables simpler logic writing and offers ease of automation APIs and integration with homegrown systems.

This section will update the KCL language community's latest developments every two weeks, including features, website updates, and the latest community news, helping everyone better understand the KCL community!

KCL Website: https://kcl-lang.io

Overview

Thank you to all contributors for their outstanding work over the past two weeks (11.09 - 11.23 2023). Here is an overview of the key content:

📦 Module Update

💬 Language Update

  • Developer Experience
    • Optimized syntax indentation check for configuration code blocks, no longer enforced as an error.
    • Support for using file path wildcards as compilation entry points.
  • Bug Fixes
    • Fixed type inference errors for some scenarios involving dictionary types.
    • Fix the check of the number of schema arguments.

🔧 Toolchain Update

💻 IDE Update

  • Developer Experience
    • Support the completion of external package dependency import statements added by package management tools.
  • Bug Fixes
    • Fixed the display position of undefined type errors for function parameters.

🏄 API Update

🔥 Architecture Upgrade

  • KCL has designed and reconstructed a new semantic model, as well as APIs that support nearest symbol lookup and symbol semantic information query.
  • IDE features such as autocomplete, definition, and hover have been migrated to the new semantic model, significantly reducing the difficulty and amount of code for IDE feature development.

🚀 Performance Improvement

  • The KCL compiler supports incremental parsing of syntax and incremental checking of semantics, significantly improving the performance of KCL compilation, build, and IDE plugin usage in most scenarios by 5-10 times.

Special Thanks

The following are listed in no particular order:

Search KCL Code and Cloud-Native Models on Artifact Hub

  • Write or validate Kubernetes configurations using KCL k8s module.

  • Application delivery and and operation using the KCL Open Application Model (OAM) and the KubeVela controller.

  • Do configuration operations using KCL code libraries like jsonpatch.

In the future, we will explain the specific use cases and workflows of each module through a series of blogs. The source code for these modules is located at https://github.com/kcl-lang/modules. We welcome contributions from the community. ❤️

Resources

❤️ Thanks to all KCL users and community members for their valuable feedback and suggestions in the community. See here to join us!

For more resources, please refer to

· 6 min read

Introduction

In previous updates, we have added package management capability to the KCL language, solving the issue of how to obtain and publish third-party libraries. However, a new problem arises during the development process where teammates are often unsure which library to use to address their specific problem. Before using a third-party library through the package management tool, it is necessary to select the appropriate library based on the specific requirements of the cloud-native operations and the capabilities of various third-party libraries.

KCL is a constraint-based record and functional language hosted by Cloud Native Computing Foundation (CNCF) that enhances the writing of complex configurations, including those for cloud-native scenarios. With its advanced programming language technology and practices, KCL is dedicated to promoting better modularity, scalability, and stability for configurations. It enables simpler logic writing and offers ease of automation APIs and integration with homegrown systems.

Therefore, we have leveraged the ArtifactHub project under CNCF to build a marketplace for KCL third-party libraries. In this marketplace, users with specific needs can freely choose the third-party libraries they require, while those who have ideas and are willing to share can also contribute and share their libraries in this marketplace. Next, we will use a simple example of publishing an application to familiarize ourselves with how to retrieve KCL third-party libraries on ArtifactHub and develop KCL programs based on the library documentation.

Prerequisites

Start minikube using the following command:

minikube start --cache-images=true

If the Ingress controller is not installed in your minikube, you can use the following command to install it:

minikube addons enable ingress

HelloWorld Example

First, let's prepare a simple JavaScript application:

const express = require("express");
const app = express();
const port = 8080;

// Define a route that responds to GET requests
app.get("/", (req, res) => {
res.send("Welcome to my web application!");
});

// Start the server
app.listen(port, () => {
console.log(`Web app listening at http://localhost:${port}`);
});

Prepare an image for this application and upload it to the image registry:

FROM node:14
WORKDIR /usr/src/app
COPY package*.json ./
RUN npm install
COPY . .
EXPOSE 8080
CMD [ "node", "app.js" ]

In this example, we will use the image ghcr.io/test/my-web-app:1.0 to demonstrate the specific content. With the preparation work completed, we can now use KCL to write the corresponding release code.

Use ArtifactHub to search for the modules you need

First, I want to publish my my-web-app application, and I need to use a third-party library for Kubernetes to accomplish my task. By searching for the keyword k8s on ArtifactHub, you can see the currently available third-party libraries for k8s.

index-page

On the homepage of the k8s module, you can find the documentation and more detailed information about the k8s module.

k8s-page

The INSTALL button on the right provides you with the installation method for the k8s third-party library.

k8s-install-page

Since we are using k8s as a dependency for our package, we can install it using the following command:

kcl mod init my-kubernetes-config && cd my-kubernetes-config && kcl mod add k8s:1.28

Next, we need to write the deployment, service, and ingress sections for the application release. We will use the Deployment, Service, and Ingress schemas from the k8s module we just added. For more information about schemas, you can refer to: https://kcl-lang.io/docs/next/reference/lang/tour#schema

If you are not familiar with these three contents, you can directly search in the details page of the model. Taking Deployment as an example, you can find more detailed information in the documentation.

deployment

Based on the documentation, we can write the following deployment config in the main.k file:

import k8s.api.apps.v1 as d

deployment = d.Deployment {
metadata.name = "web-app-deployment"
spec = {
selector.matchLabels = {app = "web-app"}
template = {
metadata.labels = {app = "web-app"}
spec.containers = [{
name = "web-app"
image = "ghcr.io/test/my-web-app:1.0"
ports = [{containerPort = 80}]
}]
}
}
}

For the Service section, we can find related documentation.

service

The corresponding service content is as follows:

import k8s.api.core.v1 as s
service = s.Service {
metadata.name = "web-app-service"
spec.selector = {"app": "web-app"}
spec.ports = [{
port: 80
targetPort: 8080
}]
}

About Ingress, you can find related documentation.

ingress

The corresponding ingress content is as follows:

import k8s.api.networking.v1 as i

ingress = i.Ingress {
metadata.name = "web-app-ingress"
spec.rules = [
{
host: "web-app.example.com"
http.paths = [
{
path: "/"
pathType: "Prefix"
backend.service.name: "web-app-service"
backend.service.port: {
number: 8080
}
}
]
}
]
}

Finally, add the following content to the main.k file to render the deployment, service, and ingress as the YAML stream format.

manifests.yaml_stream([
deployment
service
ingress
])

You can compile the corresponding KCL program and apply it to the cluster using the following command.

kcl run main.k | kubectl apply -f -

At this point, we have successfully deployed the application my-web-app with the help of ArtifactHub. Finally, let's take a look at the deployment effect through kubectl port forwarding. Use the following command to forward the port.

kubectl port-forward service/web-app-service 8080:80

Then use the following command or directly access http://localhost:8080 in the browser to access our deployed application.

$ curl http://localhost:8080

Welcome to my web application!

Summary

In this blog, we demonstrated how to select the appropriate KCL third-party library on ArtifactHub through a simple application deployment. Currently, there are more than 150+ KCL third-party libraries available on ArtifactHub for you to choose from. Come and check if there is a KCL model you need!

In the example provided in this blog, we used KCL to write the program for deploying the application. In future updates, we will further abstract the KCL program in this blog with features such as dynamic parameters and introduce more application models such as Open Application Model (OAM), and package them into a separate module for release on ArtifactHub. If you also have KCL modules that you want to share with others, we will continue to update detailed steps and guides to help you successfully publish your package. Stay tuned!