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A Jupyter kernel that interprets Dockerfiles

Project description

dockerfile-kernel

This implements a JupyterLab kernel to interpret Dockerfiles.

Features

  • Line-based execution of Dockerfiles in JupyterLab
  • Conveniently launch shell sessions running in a container created from the current image by clicking on a button.
  • Command auto-completion
  • Syntax Highlighting
  • Help text integration with the ? operation
  • Export and Import from Dockerfiles
  • Custom magics for e.g.
    • Tag the current Docker image with %tag myimage:latest
    • Easily follow best practices of installation with %install apt <packagename> (will expand to a RUN command doing all the required setup and cleanup). Also implemented for pip and npm.
    • Manipulate build arguments with %arg
    • Get an overview of existing build stages with %stages
    • Manipulate the build context with %context

Prerequisites

  • Currently, only Linux is supported
  • Docker needs to be installed
  • The user needs to be in the docker group (see e.g. here)
  • JupyterLab >= 4.0.0 needs to be installed

Installation

With pip:

python -m pip install dockerfile-kernel
python -m dockerfile_kernel.install

With conda:

conda install -c conda-forge dockerfile-kernel

Execution

jupyter lab

Project details


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Source Distribution

dockerfile_kernel-0.1.2.tar.gz (7.2 MB view hashes)

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