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coolbutuseless / dplyr-cli

Manipulate CSV files on the command line using dplyr
MIT License
269 stars 20 forks source link

Installation via conda? #13

Closed dlaehnemann closed 4 years ago

dlaehnemann commented 4 years ago

Hi @coolbutuseless ,

cool idea, and very useful. Have you considered conda as an installation option? Contributing a respective recipe to conda-forge, the community-maintained repository of conda recipes for software installations is really easy (especially when further looking at code for existing recipes/feedstocks that are similar) : https://conda-forge.org/#add_recipe

And all the respective R packages are available as conda-forge packages / feedstocks: https://conda-forge.org/feedstocks/

As a result, for anyone who has miniconda installed, installation into an isolated environment and including all dependencies would be as easy as:

conda create -n dplyr-cli-env dplyr-cli

And for using it, you simply activate that environment:

conda activate dplyr-cli-env
dlaehnemann commented 4 years ago

Hi again @coolbutuseless ,

a nice first step to creating such a recipe would be to create a versioned GitHub release for the latest release you made. It's as easy as heading over to https://github.com/coolbutuseless/dplyr-cli/releases and naming the release with the respective version number. This provides for a stable link to a bundled archive of the particular release and it should then be easy to create a conda-forge package.

And I'd be willing to help out on that, just to have a convenient and reproducible way of installing this nice CLI tool! Let me know if you need any more infos or pointers.

coolbutuseless commented 4 years ago

I've tagged the current version as 'v0.1.3' - https://github.com/coolbutuseless/dplyr-cli/releases/tag/v0.1.3

If you'd like to make progress on conda installation, I'm happy to help if I can, but this is not a priority for me.