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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 (01.04 2024 - 01.18 2024). Here is an overview of the key content:

🌞 KCL Update

  • v0.7.4 released, adding support for Linux arm64.

🎁 API Update

  • Added APIs for syntax and semantic analysis

🔧 Toolchain Update

  • kcl-go sdk update

    • KCL Doc tool supports output in OpenAPI format.
    • Added Parsing related APIs.
  • Import tool update

    • Optimized the user experience of the import tool to generate KCL, and added support for keywords oneOf and allOf.
  • KCL Package Management Tool

    • Released v0.6.0, which supports adding dependencies via git commit.

💻 IDE Update

  • Semantic Highlighting

    • KCL IDE optimized semantic highlighting.
  • Enhancement for Completion Features

    • Fixed the completion error in nested schema definitions
    • Fixed the missing hover information

Special Thanks

The following are listed in no particular order:

  • Thanks to @jakezhu9 for his continuous contribution to the kcl import tool 🤝
  • Thanks to @AdmiralNemo, @Phillip Neumann, @Naxe, @steeling, etc. for their valuable feedback and suggestions in the use of KCL 🙌

KCL IDE Semantic Highlighting Enhancement

KCL IDE previously only supported KCL syntax highlighting, as shown in the figure below:

This year, we gradually enabled the new KCL semantic architecture model. With the support of the new semantic architecture, KCL IDE supports semantic-level highlighting, and the code related to semantics will be highlighted in the same way.

For more information about the KCL semantic architecture model, please refer to:

Unlocking Advanced Code Intelligence with the KCL Semantic Model

KCL Package Management Tool Supports Adding Git Dependencies via Commit

KCL Package Management Tool supports adding git dependencies via commit. Take https://github.com/KusionStack/catalog as an example, add commit a29e3db as a dependency. You can add it directly through the dependency in the kcl.mod file or the command line.

Edit the kcl.mod file as follows:

[dependencies]
catalog = { git = "https://github.com/KusionStack/catalog.git", commit = "a29e3db" }

Or add it via the command line:

kcl mod add --git https://github.com/KusionStack/catalog.git --commit a29e3db

KCL Import Tool Enhancement

The import tool supports the generation with oneOf and allOf keywords. Take the oneOf keyword as an example, save the following content in the file oneof.json.

{
"$schema": "http://json-schema.org/draft-07/schema#",
"$id": "https://example.com/schemas/book.json",
"type": "object",
"properties": {
"title": {
"type": "string"
},
"author": {
"$comment": "oneOf for types",
"oneOf": [
{
"type": "string"
},
{
"type": "array",
"items": {
"type": "string"
}
},
{
"type": "integer"
}
]
},
"category": {
"$comment": "oneOf for objects",
"oneOf": [
{
"type": "object",
"properties": {
"name": {
"type": "string"
}
}
},
{
"type": "object",
"properties": {
"title": {
"type": "string"
}
}
}
]
}
}
}

Through the import command, you can generate the corresponding KCL file.

kcl import oneof.json

You can see that the generated oneof.k file content is as follows.

"""
This file was generated by the KCL auto-gen tool. DO NOT EDIT.
Editing this file might prove futile when you re-run the KCL auto-gen generate command.
"""

schema Book:
r"""
Book

Attributes
----------
title : str, optional
author : str | [str] | int, optional
category : BookCategoryOneOf0 | BookCategoryOneOf1, optional
"""

title?: str
author?: str | [str] | int
category?: BookCategoryOneOf0 | BookCategoryOneOf1

schema BookCategoryOneOf0:
r"""
BookCategoryOneOf0

Attributes
----------
name : str, optional
"""

name?: str

schema BookCategoryOneOf1:
r"""
BookCategoryOneOf1

Attributes
----------
title : str, optional
"""

title?: str

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

· 7 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 (12.22 2023 - 01.04 2024). Here is an overview of the key content:

🔧 Toolchain Update

Package Management Tool Update

  • Adds support for automatic translation of external package names containing the - symbol to an underscore _ that KCL recognizes, such as set-annotation -> set_annotation
  • Fixes a null pointer error caused when kcl mod add encounters a mismatch between the Registry package version and the version of the package already present locally

💻 IDE Update

Semantic Highlighting

  • KCL IDE now supports semantic-level highlighting, avoiding differences in highlighting across various IDE plugins

Enhancement for Completion Features

  • Differentiates between Schema type and instance completion symbols
  • Unifies the format for Schema comment documentation completion
  • Fixes inconsistencies in completion symbol types across different syntaxes

Special Thanks

The following are listed in no particular order:

  • Thanks to @FLAGLORD, @YiuTerran, @flyinox, @steeling, @Anoop, @Phillip Neumann, and @Even Solberg for their valuable feedback and discussions during the promotion and usage of KCL 🙌

Using KCL to Write Crossplane Composition Functions

Crossplane and its XRs allow developers to create higher-level abstractions that can encapsulate and compose multiple types of cloud resources across different providers and services. Using Composition Functions to render these abstractions can effectively enhance template capabilities for various provider resources while reducing the amount of YAML code needed.

Combining KCL with Composition Functions offers several benefits:

  • Simplification of Complex Configurations: KCL provides a more concise syntax and structure as a DSL, reducing the complexity of configurations. When combined with Crossplane’s composite resources, you can create more intuitive and easy-to-understand configuration templates with loop and condition features, simplifying the definition and maintenance of resources instead of duplicate YAML and Go code snippets.
  • Reusability and Modularity: KCL supports modularity and code reuse through OCI Registry, which means you can create reusable configuration components. Combined with Crossplane, this promotes the modularity of composite resources, increases the reuse of configurations, and reduces errors.
  • Automation and Policy-Driven: You can use KCL’s powerful features to write policies and constraints that, combined with Crossplane’s declarative resource management, can be automatically enforced, ensuring compliance within the cloud environment.

Additionally, you can refer to here to learn about the differences between KCL and other configuration formats or DSLs.

Prerequisites

Quick Start

Let’s write a KCL function abstraction which generates managed resources VPC and InternetGateway with an input resource Network.

1. Install the Crossplane KCL Function

Installing a function creates a function pod. The function logic is processed as a pipeline step in a composition that may create managed resources when triggered through specified parameters.

Install a Function with a Crossplane Function object setting the spec.package value to the location of the function package.

kubectl apply -f- << EOF
apiVersion: pkg.crossplane.io/v1beta1
kind: Function
metadata:
name: kcl-function
spec:
package: xpkg.upbound.io/crossplane-contrib/function-kcl:latest
EOF
2. Apply the Composition Resource

You can apply the composition resource with the inline KCL code into the cluster.

kubectl apply -f- << EOF
apiVersion: apiextensions.crossplane.io/v1
kind: Composition
metadata:
name: xlabels.fn-demo.crossplane.io
labels:
provider: aws
spec:
writeConnectionSecretsToNamespace: crossplane-system
compositeTypeRef:
apiVersion: fn-demo.crossplane.io/v1alpha1
kind: XNetwork
mode: Pipeline
pipeline:
- step: normal
functionRef:
name: kcl-function
input:
apiVersion: krm.kcl.dev/v1alpha1
kind: KCLRun
metadata:
name: basic
spec:
# Generate new resources
target: Resources
# OCI, Git or inline source
# source: oci://ghcr.io/kcl-lang/crossplane-xnetwork-kcl-function
# source: github.com/kcl-lang/modules/crossplane-xnetwork-kcl-function
source: |
# Get the XR spec fields
id = option("params")?.oxr?.spec.id or ""
# Render XR to crossplane managed resources
network_id_labels = {"networks.meta.fn.crossplane.io/network-id" = id} if id else {}
vpc = {
apiVersion = "ec2.aws.upbound.io/v1beta1"
kind = "VPC"
metadata.name = "vpc"
metadata.labels = network_id_labels
spec.forProvider = {
region = "eu-west-1"
cidrBlock = "192.168.0.0/16"
enableDnsSupport = True
enableDnsHostnames = True
}
}
gateway = {
apiVersion = "ec2.aws.upbound.io/v1beta1"
kind = "InternetGateway"
metadata.name = "gateway"
metadata.labels = network_id_labels
spec.forProvider = {
region = "eu-west-1"
vpcIdSelector.matchControllerRef = True
}
}
items = [vpc, gateway]
EOF
3. Create Crossplane XRD

We define a schema using the crossplane XRD for the input resource Network, it has a field named id which denotes the network id.

kubectl apply -f- << EOF
apiVersion: apiextensions.crossplane.io/v1
kind: CompositeResourceDefinition
metadata:
name: xnetworks.fn-demo.crossplane.io
spec:
group: fn-demo.crossplane.io
names:
kind: XNetwork
plural: xnetworks
claimNames:
kind: Network
plural: networks
versions:
- name: v1alpha1
served: true
referenceable: true
schema:
openAPIV3Schema:
type: object
properties:
spec:
type: object
properties:
id:
type: string
description: ID of this Network that other objects will use to refer to it.
required:
- id
EOF
4. Apply the Crossplane XR
kubectl apply -f- << EOF
apiVersion: fn-demo.crossplane.io/v1alpha1
kind: Network
metadata:
name: network-test-functions
namespace: default
spec:
id: network-test-functions
EOF
5. Verify the Generated Managed Resources
  • VPC
kubectl get VPC -o yaml | grep network-id
networks.meta.fn.crossplane.io/network-id: network-test-functions
  • InternetGateway
kubectl get InternetGateway -o yaml | grep network-id
networks.meta.fn.crossplane.io/network-id: network-test-functions

It can be seen that we have indeed successfully generated VPC and InternetGateway resources, and their fields meet expectations.

6. Debugging KCL Functions Locally

See here for more information and examples.

Client Enhancements

It can be seen that the above abstract code often requires a crossplane as a control plane intermediary, and you can still complete the abstraction in a fully client-side manner and directly generate crossplane managed resources to reduce the burden on the cluster.

On the client side, there are two methods to render managed resources. One method is to use the crossplane beta render command, and the other is to render directly using the kcl run command. The usage for the former can be found here. For the latter, the usage is as follows.

kcl run oci://ghcr.io/kcl-lang/crossplane-xnetwork-kcl-function -S items -D params='{"oxr": {"spec": {"id": "network-test-functions"}}}'

The output is

apiVersion: ec2.aws.upbound.io/v1beta1
kind: VPC
metadata:
name: vpc
labels:
networks.meta.fn.crossplane.io/network-id: network-test-functions
spec:
forProvider:
region: eu-west-1
cidrBlock: 192.168.0.0/16
enableDnsSupport: true
enableDnsHostnames: true
---
apiVersion: ec2.aws.upbound.io/v1beta1
kind: InternetGateway
metadata:
name: gateway
labels:
networks.meta.fn.crossplane.io/network-id: network-test-functions
spec:
forProvider:
region: eu-west-1
vpcIdSelector:
matchControllerRef: true

Both methods require a registry (usually docker.io) to assist in completing the work. The ultimate choice between them may depend on your operational habits and environmental costs. Regardless of the method chosen, we recommend maintaining your KCL code in Git to better implement GitOps and obtain a better IDE experience and reusable modules such as the Crossplane AWS Provider Modules.

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