Project Description

Currently autpupdate-perl runs on a cloud server. It updates perl modules in autoupdate, but also the whole CPAN-{A,B,...} projects.

I would like to at least move the d:l:p updating to a CI, as notifications and maintaining will be easier this way.

Goal for this Hackweek

Goal:autoupdate-perl runs daily in a github workflow.

Bonus: Also create automated submit requests do d:l:p

Resources

  • https://github.com/openSUSE/autoupdate-perl

Looking for hackers with the skills:

perl cpan openbuildservice

This project is part of:

Hack Week 22

Activity

  • almost 2 years ago: tinita started this project.
  • almost 2 years ago: tinita added keyword "perl" to this project.
  • almost 2 years ago: tinita added keyword "cpan" to this project.
  • almost 2 years ago: tinita added keyword "openbuildservice" to this project.
  • almost 2 years ago: tinita originated this project.

  • Comments

    Be the first to comment!

    Similar Projects

    Create object oriented API for perl's YAML::XS module, with YAML 1.2 Support by tinita

    Description

    YAML::XS is a binding to libyaml and already quite old, but the most popular YAML module for perl. There are two main issues:

    • It uses global package variables to influence behaviour.
    • It didn't implement the loading of types like numbers and booleans according to the YAML spec (neither 1.1 nor 1.2).

    Goals

    Create a new interface which works object oriented. Currently YAML::XS exports a list of functions.

    • The new API will allow to create a YAML::XS object containing configuration influencing the behaviour of loading and dumping.
      • It keeps the libyaml parser and emitter structs in memory, so repeated calls can save the creation of those structs
    • It will by default implement the YAML 1.2 Core Schema, so it is compatible to other YAML processors in perl and in other languages
    • If I have time, I would like to add the merge << key feature as an option. We could then use it in openQA as a replacement for YAML::PP to be faster.

    I already created a proof of concept with a minimal functionality some weeks before this HackWeek.

    Resources