Implement kubectl-like commands for KubernetesJS CLI

[devin-ai-integration]

KubernetesJS CLI Implementation

This PR implements kubectl-like commands for the KubernetesJS CLI, providing a user-friendly interface for interacting with Kubernetes clusters.

Features Implemented

• Support for --config flag to parse YAML files and execute appropriate actions
• Interactive resource selection using inquirerer prompts when no specific resource is specified
• Local .kubeconfig JSON file for storing namespace context
• Implementation of the following kubectl-like commands:
  • get - List resources (pods, services, deployments, etc.)
  • describe - Show detailed information about specific resources
  • logs - Fetch logs from pods
  • apply - Apply YAML configurations to the cluster
  • delete - Delete resources with interactive selection
  • exec - Open interactive shells in pods
  • port-forward - Forward local ports to services
  • cluster-info - Display cluster endpoints
  • config - Manage namespace context

Usage Examples

# List all pods in the current namespace
k8s get pods

# Get detailed information about a specific pod
k8s describe pod my-pod

# View logs from a pod
k8s logs my-pod

# Apply a YAML configuration
k8s apply -f deployment.yaml

# Delete resources with interactive selection
k8s delete pods

# Execute a command in a pod
k8s exec my-pod -- /bin/sh

# Forward a local port to a service
k8s port-forward svc/my-service 8080:80

# Display cluster information
k8s cluster-info

# Set the current namespace
k8s config set-context --current --namespace=my-namespace

Implementation Details

• Each command is implemented in its own file following the established pattern
• Commands use the KubernetesClient from the kubernetesjs package
• Interactive prompts use the inquirerer library
• Output is formatted with chalk for better readability
• The --config flag allows bypassing prompts by directly applying YAML configurations

Link to Devin run

https://app.devin.ai/sessions/2e1d95e2899342eab9374c45b35243d8

Requested by

Dan Lynch ([email protected])

[devin-ai-integration]

🤖 Devin AI Engineer

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