Metadata-Version: 1.1
Name: cherrytree
Version: 0.1.0
Summary: A build tool to pick cherry, bake release branches, and power label-driven development
Home-page: https://github.com/apache-superset/cherrytree
Author: Maxime Beauchemin
Author-email: maximebeauchemin@gmail.com
License: UNKNOWN
Download-URL: https://github.com/apache-superset/cherrytree/tarball/0.1.0
Description: # Cherry Tree
        
        <img src="https://i.imgur.com/QGyxImm.jpg" title="Cherry Tree" width="250" />
        
        Cherry Tree is a set of tools that were originally designed to help
        build releases for
        [Apache Superset](https://github.com/apache/incubator-superset),
        but can be use for any other project
        that wants to implement a similar workflow.
        
        Ideas behind `cherrytree` include:
        * Baking and storing release metadata in static, deterministic config files
        * Github label driven development / releases
        * Make release files from specifying base reference and Github labels
        * Bake release branches/SHAs from said config files
        * Follow a base reference + cherries approach
        
        ## An example build file
        
        `cherrytree` offers tooling to both:
        1. generate a "bake file" from a base git reference along with a set of tagged PRs
        2. craft a branch in a target repo from a "bake file"
        
        Here's an example "bake file":
        
        ```hocon
        // this is a Hocon formatted file,
        // learn more about hocon here https://github.com/lightbend/config/blob/master/HOCON.md
        {
          id = "lyft.28.0rc4.1"
          base_ref = 0.28.0rc4
          source_repos = [
            'https://github.com/apache-superset/cherrytree',
            'https://github.com/some_fork/cherrytree',
          ]
          cherries = [
            [5e6efae15563036d98aa9a13affcef38c6957cb1, "Some SHA from either repos above"],
          ]
        }
        ```
        
        The format is `hocon`, which is yet another [bet much better] markup language.
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
