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A tool to assist the maintenance of package versioning with scm tags

Project description

Vertagus

Vertagus is a tool to enable automation around maintining versions for your source code via a source control management's tag feature.

Installation

To install from pip:

pip install vertagus

To install from GitHub, clone and then pip install from source:

git clone https://github.com/jdraines/vertagus.git
pip install ./vertagus

Assumptions

Vertagus assumes some things about your development and versioning process:

  • You are using some sort of packaging or distribution tool that contains a structured text document like yaml or toml, and you declare your package version in that document. Vertagus calls these documents "manifests".
  • You are using a source control manager (scm) like git to manage your code's changes.
  • You would like to use your scm's tag feature to track versions. So, for example, if your package version is 1.0.2 currently, you'd like your scm to tag this point in your code's history with something like 1.0.2 (though you can customize the format some.)

What it does

Configuration

Vertagus lets you declare some things about how you'd like to maintain your versioning:

  • Manifests, which are the source of truth for your versioning. (You can declare more than one if you like, but the first one will be considered the authoritative version.)
  • Rules that your versioning should follow. For example, should it match a certain regex pattern? Should it always be incrementally higher than the last version? Is your version required to be in multiple manifests, and you need to know if they are out of sync with each other? For a list of rules, you can run vertagus list-rules.
  • Version Aliases whose tags can move around a bit. For example, you might use major-minor-patch semantic versioning, but you'd like to maintain a major-minor alias on whatever your most recent patch version is.
  • Stages of your development process that might need different rules or aliases. This might correspond to names like dev, staging, or prod, or it could be whatever else you like, depending on how you plan to use it.
  • Tag Prefixes in case you're developing in a repository that holds multiple packages. Or maybe you just like prefixes.

You declare these in either a vertagus.toml or vertagus.yaml file next to your package in your repository. Here's an example of the yaml format:

scm:
  type: git
  tag_prefix: v
project:
  rules:
    current:
      - not_empty
    increment:
      - any_increment
  manifests:
    - type: setuptools_pyproject
      path: ./pyproject.toml
      name: pyproject
  stages:
    dev:
      rules:
        current:
          - regex_dev_mmp
    prod:
      aliases:
        - string:latest
        - major.minor
      rules:
        current:
          - regex_mmp

For a complete list of rules that can be used in the configuration, you can run vertagus list-rules to see the available rules and whether they can be used as increment or current rules.

(See the configuration docs for more on the format of this file.)

Command Line Interface

Vertagus provides two main operations in its vertagus CLI:

validate

The validate command looks like this:

vertagus validate [--stage-name STAGE_NAME --config CONFIG_FILEPATH]

The validate command will check your configuration and run any rules that you have declared there. If any of the rules are being broken by the current state of the code, then it will exit with exit code 1. Otherwise, it exits without error.

create-tag

The create-tag command looks like this:

vertagus create-tag [--stage-name STAGE_NAME --config CONFIG_FILEPATH]

The create-tag command will check your configuration and create tags for the current version of your code as well as for any aliases that may be declared. These tags are created locally, but then pushed to your remote.

Continuous Integration

You may have noticed that the operations described above are a little odd to run just anywhere any time. Vertagus is best suited to be executed in CI automation. For example, you could configure your scm platform to run the validate command when a pull request is created as a check that must pass in order to merge. Then, you could configure your scm platform to run the create-tag command after a pull request has merged and closed.

Documentation

For more documentation, see the docs directory.

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