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版本: 0.5.1

Kubectl KCL 插件

简介

Kubectl is a command line tool for communicating with a Kubernetes cluster's control plane, using the Kubernetes API. You can use the Kubectl-KCL-Plugin to

  • Edit the YAML configuration in a hook way to separate data and logic for the Kubernetes manifests management.
  • For multi-environment and multi-tenant scenarios, you can maintain these configurations gracefully rather than simply copy and paste.
  • Validate all KRM resources using the KCL schema.

前置条件

快速开始

Let’s write a KCL function which add annotation managed-by=krm-kcl only to Deployment resources in the helm chart.

1. Get the Example

git clone https://github.com/kcl-lang/kubectl-kcl.git/
cd ./kubectl-kcl/examples/

2. Test and Run

Run the KCL code via the Kubectl KCL Plugin.

kubectl kcl run -f ./kcl-run.yaml

The output yaml is

apiVersion: config.kubernetes.io/v1
kind: ResourceList
items:
- apiVersion: apps/v1
kind: Deployment
metadata:
annotations:
managed-by: krm-kcl
labels:
app: nginx
name: nginx-deployment
spec:
replicas: 3
selector:
matchLabels:
app: nginx
template:
metadata:
labels:
app: nginx
spec:
containers:
- image: "nginx:1.14.2"
name: nginx
ports:
- containerPort: 80
- apiVersion: v1
kind: Service
metadata:
name: test
spec:
ports:
- port: 80
protocol: TCP
targetPort: 9376
selector:
app: MyApp
functionConfig:
# kcl-fn-config.yaml
apiVersion: krm.kcl.dev/v1alpha1
kind: KCLRun
metadata:
# EDIT THE SOURCE!
# This should be your KCL code which preloads the `ResourceList` to `option("resource_list")
spec:
source: |
[resource | {if resource.kind == "Deployment": metadata.annotations: {"managed-by" = "krm-kcl"}} for resource in option("resource_list").items]

Guides for Developing KCL

Here's what you can do in the KCL code:

  • Read resources from option("resource_list"). The option("resource_list") complies with the KRM Functions Specification. You can read the input resources from option("resource_list")["items"] and the functionConfig from option("resource_list")["functionConfig"].
  • Return a KPM list for output resources.
  • Return an error using assert {condition}, {error_message}.

More Documents and Examples