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kpf - A TUI for port-forwarding with kubectl

This is a Python utility that (attempts to) dramatically improve the experience of port-forwarding with kubectl.

It is essentially a wrapper around kubectl port-forward that adds an interactive service selection with automatic reconnects when the pods are restarted or your network connection is interrupted (computer goes to sleep, etc).

This should be compatible with the kpf alias that you may already have.

If you like this, check out https://github.com/jessegoodier/kdebug, a TUI for debug containers in Kubernetes pods with interactive shell access and backup capabilities.

Demo

Demo of the TUI and the reconnect when a pod is restarted: kpf demo

Features

  • Automatic Connection Restarting: Monitors endpoint changes and restarts port-forward automatically
  • Multi-resource Support: Services, pods, deployments, etc.
  • Smart Port Handling: Automatically detects privileged port issues (< 1024) and suggests alternatives

Installation

Note: The oh-my-zsh kubectl plugin will conflict with this kpf command. You must unalias kpf before using this tool.

echo "unalias kpf 2>/dev/null" >> ~/.zshrc

Homebrew (Recommended)

Other methods do not automatically install command completions.

brew tap jessegoodier/kpf
brew install kpf

Or install directly:

brew install jessegoodier/kpf/kpf

Using uv

uv tool install kpf

from source:

uv tool install .

Usage

Interactive Mode (Recommended)

Warm Tip: You can use the interactive mode to find the service you want, and it will output the command to connect to that service directly next time.

Note: You might think that "warm tip" is something that AI wrote, but that's not the case. It really is just a little bit cooler than a hot tip.

Visual explanation of the features. TUI selection not shown, just the output after selection. screenshot1

Check which endpoints are up on entire cluster (can be slow): screenshot2

Select services interactively:

Interactive selection in current namespace:

kpf

Interactive selection in specific namespace:

kpf -n production

Interactive selection with namespace prompt:

kpf -p

Show all services across all namespaces:

kpf --all

Include pods and controllers with ports defined:

kpf --all-ports

Combine a few options (interactive mode, all services, and endpoint status checking, debug mode):

kpf -pAdl

Check Mode

Add endpoint status checking to service selection (slower but shows endpoint health):

# Interactive selection with endpoint status
kpf --check

# Show all services with endpoint status
kpf --all --check

# Include pods and deployments with status
kpf --all-ports --check

Legacy Mode

Direct port-forward (maintain expected behavior):

# Traditional kubectl port-forward syntax
kpf svc/frontend 8080:8080 -n production
kpf pod/my-pod 3000:3000

Command Options

Example usage:
  kpf                                           # Interactive mode
  kpf svc/frontend 8080:8080 -n production      # Direct port-forward (maintain expected behavior)
  kpf -n production                             # Interactive selection in specific namespace
  kpf --all (or -A)                             # Show all services across all namespaces
  kpf --all-ports (or -l)                       # Show all services with their ports
  kpf --check -n production                     # Interactive selection with endpoint status
  kpf --prompt-namespace (or -p)                # Interactive namespace selection
  kpf -z                                        # Listen on 0.0.0.0 (all interfaces)

Examples

Interactive Service Selection

Fast mode (without endpoint checking):

$ kpf -n kube-system

Services in namespace: kube-system

#    Type     Name                    Ports
1    SERVICE  kube-dns               53, 9153
2    SERVICE  metrics-server         443
3    SERVICE  kubernetes-dashboard   443

Select a service [1]: 1
Local port (press Enter for 53): 5353

With endpoint status checking:

$ kpf --check -n kube-system

Services in namespace: kube-system

#    Type     Name                    Ports           Status
1    SERVICE  kube-dns               53, 9153         ✓
2    SERVICE  metrics-server         443              ✓
3    SERVICE  kubernetes-dashboard   443              ✗

✓ = Has endpoints  ✗ = No endpoints

Select a service [1]: 1
Local port (press Enter for 53): 5353

Cross-Namespace Discovery

$ kpf --all

Services across all namespaces

#    Namespace    Type     Name           Ports        Status
1    default      SERVICE  kubernetes     443          ✓
2    kube-system  SERVICE  kube-dns      53, 9153     ✓
3    production   SERVICE  frontend      80, 443      ✓
4    production   SERVICE  backend       8080         ✗

Smart Low Port Handling

When you try to use privileged ports (< 1024), kpf will detect the permission issue and offer to use a higher port automatically:

$ kpf -n monitoring svc/grafana 80:80

Error: Port 80 requires elevated privileges (root/sudo)
Low ports (< 1024) require administrator permissions on most systems

Suggested alternative: Use port 1080 instead?
This would forward: localhost:1080 -> service:80

Use suggested port? [Y/n]: y
Updated port mapping to 1080:80

Direct command: kpf svc/grafana 1080:80 -n monitoring

http://localhost:1080

🚀 port-forward started 🚀

This feature prevents confusing "port already in use" errors when the real issue is insufficient permissions.

How It Works

  1. Port-Forward Thread: Runs kubectl port-forward in a separate thread
  2. Endpoint Watcher: Monitors endpoint changes using kubectl get ep -w
  3. Network Watchdog: Checks both K8s API connectivity and local port health every 5 seconds to detect zombie connections (e.g., after laptop sleep/wake). This catches cases where the API is reachable but the port-forward tunnel is dead.
  4. Automatic Restart: When endpoints change or connectivity is lost, gracefully restarts the port-forward
  5. Service Discovery: Uses kubectl to discover services and their endpoint status

Requirements

  • kubectl configured with cluster access

Configuration

kpf can be configured via ~/.config/kpf/kpf.json (follows XDG Base Directory Specification).

If you create this file, it is suggested to only change the values you want to override in case improvements are made in the future.

{
  "autoSelectFreePort": true,
  "showDirectCommand": true,
  "showDirectCommandIncludeContext": true,
  "directCommandMultiLine": true,
  "autoReconnect": true,
  "reconnectAttempts": 30,
  "reconnectDelaySeconds": 5,
  "captureUsageDetails": false,
  "usageDetailFolder": "${HOME}/.config/kpf/usage-details",
  "restartThrottleSeconds": 5,
  "networkWatchdogEnabled": true,
  "networkWatchdogInterval": 5,
  "networkWatchdogFailureThreshold": 2
}

Example: Disable auto-reconnect

mkdir -p ~/.config/kpf
echo '{"autoReconnect": false}' > ~/.config/kpf/kpf.json

Configuration Options

Option Type Default Description
autoSelectFreePort boolean true When requested port is busy, automatically try next ports (9091, 9092, etc.)
showDirectCommand boolean true Show the direct kpf command for future use
showDirectCommandIncludeContext boolean true Include kubectl context in the command display
directCommandMultiLine boolean true Format direct command across multiple lines for readability
autoReconnect boolean true Automatically reconnect when connection drops
reconnectAttempts integer 30 Number of reconnection attempts before giving up
reconnectDelaySeconds integer 5 Delay in seconds between reconnection attempts
captureUsageDetails boolean false Capture usage details locally for debugging (not sent anywhere)
usageDetailFolder string ${HOME}/.config/kpf/usage-details Where to store usage detail logs
networkWatchdogEnabled boolean true Monitor K8s API connectivity to detect zombie connections
networkWatchdogInterval integer 5 Seconds between connectivity checks
networkWatchdogFailureThreshold integer 2 Consecutive failures before triggering restart

Notes:

  • All settings are optional - kpf will use defaults if the config file doesn't exist
  • Environment variables like ${HOME} are expanded automatically
  • The config file location respects the XDG_CONFIG_HOME environment variable
  • Invalid JSON or unknown keys will show warnings but won't prevent kpf from running
  • CLI arguments override config file values when provided

Development

Prerequisites

Setup Development Environment

# Clone the repository
git clone https://github.com/jessegoodier/kpf.git
cd kpf
# Install with development dependencies and create venv
just dev-setup

Code Quality Tools

# Format and lint code
just format
# Run tests
just test

Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Run tests and linting
  5. Submit a pull request

Shell Completion

Shell completions can be generated using the --completions flag.

Homebrew

If you install via Homebrew, completions should be installed automatically. You may need to follow Homebrew's shell completion instructions to ensure it's loaded. You may find the bash and zsh examples here useful.

Manual Installation

Bash

# User-local installation (recommended)
kpf --completions bash > ~/.local/share/bash-completion/completions/kpf

# Or system-wide
kpf --completions bash | sudo tee /etc/bash_completion.d/kpf > /dev/null

Zsh

# Add to a directory in your fpath
kpf --completions zsh > /usr/share/zsh/site-functions/_kpf

# Or for oh-my-zsh users
kpf --completions zsh > ~/.oh-my-zsh/completions/_kpf

Then reload your shell: exec $SHELL

License

MIT License - see LICENSE file for details.

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