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A CLI tool for launching Kubernetes jobs in EIDF

Project description

kblaunch

Test Python Version Ruff PyPI Version

A CLI tool for launching Kubernetes jobs with environment variable and secret management.

Installation

pip install kblaunch

Or using uv:

uv add kblaunch

You can even use uvx to use the cli without installing it:

uvx kblaunch --help

Usage

Setup

Run the setup command to configure the tool (email and slack webhook):

kblaunch setup

Basic Usage

Launch a simple job:

kblaunch launch
    --job-name myjob \
    --command "python script.py"

With Environment Variables

  1. From local environment:

    kblaunch launch \
        --job-name myjob \
        --command "python script.py" \
        --local-env-vars PATH \
        --local-env-vars PYTHONPATH
    
  2. From Kubernetes secrets:

    kblaunch launch \
        --job-name myjob \
        --command "python script.py" \
        --secrets-env-vars mysecret1 \
        --secrets-env-vars mysecret2
    
  3. From .env file:

    kblaunch launch \
        --job-name myjob \
        --command "python script.py" \
        --load-dotenv
    

GPU Jobs

Specify GPU requirements:

kblaunch launch \
    --job-name gpu-job \
    --command "python train.py" \
    --gpu-limit 2 \
    --gpu-product "NVIDIA-A100-SXM4-80GB"

Interactive Mode

Launch an interactive job:

kblaunch launch \
    --job-name interactive \
    --interactive

Options

  • --email: User email
  • --job-name: Name of the Kubernetes job [required]
  • --docker-image: Docker image (default: "nvcr.io/nvidia/cuda:12.0.0-devel-ubuntu22.04")
  • --namespace: Kubernetes namespace (default: "informatics")
  • --queue-name: Kueue queue name
  • --interactive: Run in interactive mode (default: False)
  • --command: Command to run in the container [required if not interactive]
  • --cpu-request: CPU request (default: "1")
  • --ram-request: RAM request (default: "8Gi")
  • --gpu-limit: GPU limit (default: 1)
  • --gpu-product: GPU product (default: "NVIDIA-A100-SXM4-80GB")
  • --secrets-env-vars: List of secret environment variables
  • --local-env-vars: List of local environment variables
  • --load-dotenv: Load environment variables from .env file (default: True)

Features

  • Kubernetes job management
  • Environment variable handling from multiple sources
  • Kubernetes secrets integration
  • GPU job support
  • Interactive mode
  • Automatic job cleanup
  • Slack notifications (when configured)

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