yaml orchestration for bash
Project description
Sometimes I find make too old, autoplay unfrustrates me.
Getting started
Install with pip install autoplay.
It will look for jobs in autoplay.yml in the current directory or fallback on the autoplay/autoplay.yml file which defines a few default jobs. The twine job for example will build .po files and make a python package that it will upload with twine, to automate python package release:
autoplay debug twine autoplay twine mode=dryrun TWINE_USERNAME=... TWINE_PASSWORD=.. autoplay twine
Create a file with name autoplay.yml containing:
--- env: someglobal: foo --- name: example env: example_var: ./autoplay-example multiline_var: | foo bar setup: - test -f $example_var || echo "$multiline_var" > $example_var script: - cat $example_var --- name: test requires: - example
Then, see the commands it would execute with autoplay run example mode=dryrun…
In-development
CLI Development Environment
We’re investing in a development command that would allow to run several jobs simultaneously, with an urwid based interface. It would allow to define jobs like this in your autoplay.yml:
--- name: dev script: - eslint --watch - yarn start - django-admin runserver - py.test --watch
That you could run with autoplay run dev mode=ide.
Tox-like and docker based executors
The default executor is linux which executes in a bash subshell. However other executors are available such as executor=docker (for baking development environments) and executor=virtualenv (for build matrix).
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