https://github.com/yaml/yaml-runtimes

YAML processor runtimes via docker
https://github.com/yaml/yaml-runtimes

docker testing yaml

Last synced: about 1 month ago
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YAML processor runtimes via docker

• Host: GitHub
• URL: https://github.com/yaml/yaml-runtimes
• Owner: yaml
• License: mit
• Created: 2019-09-19T21:08:47.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2024-06-12T20:03:39.000Z (5 months ago)
• Last Synced: 2024-09-30T23:01:24.293Z (about 1 month ago)
• Topics: docker, testing, yaml
• Language: Perl
• Homepage:
• Size: 162 KB
• Stars: 37
• Watchers: 7
• Forks: 19
• Open Issues: 10
• Metadata Files:
  • Readme: README.md
  • Contributing: Contributing.md
  • License: LICENSE

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README

        
# Docker images for YAML Runtimes

[![Open in Gitpod](https://gitpod.io/button/open-in-gitpod.svg)](https://gitpod.io/#https://github.com/yaml/yaml-runtimes)

* [Quickstart](#Quickstart)

* [Dependencies](#Dependencies)

* [Usage](#Usage)

* [Pull images](#Pull-images)

* [Play](#Play)

* [Daemon](#Daemon)

* [Build](#Build)

* [Test](#Test)

* [Example](#Example)

* [Architecture](#Architecture)

* [List of Libraries](#List-of-Libraries)

This project provides several Dockerfiles for runtime environments for a list

of YAML processors.

The goal of this project is to be able to play with most available YAML

libraries out there and compare them.

Libraries can be tested for bugs, and it makes it easier to try out bugfixes

for a language for which you don't have any development libraries installed.

It was part of the [YAML Editor](https://github.com/yaml/yaml-editor) and then

outsourced in its own project.

The YAML editor allows to receive the output of a list of YAML processors in

vim, with a very helpful automatic tiled layout and nice shortcuts.

It currently can work with only one docker container at a time, that's one

reason why we build the `alpine-runtime-all` image.

Each library has one or more programs to process YAML input and output parsing

events or JSON. In the docker images they can be found under the `/yaml/bin`

directory.

## Quickstart

    source /path/to/yaml-runtimes/.rc

To play with PyYAML:

    yamlrun-docker-pull python

    docker run -i --rm yamlio/alpine-runtime-python py-pyyaml-event