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Dynamic version generation

Project description

Dunamai

Dunamai is a Python 3.5+ library and CLI for producing dynamic, standards-compliant version strings, derived from tags in your version control system.

Features

  • Version control system support:
    • Git
    • Mercurial
    • Darcs
  • Version styles:
  • Can be used for projects written in any programming language. For Python, this means you do not need a setup.py.

Usage

Install with pip install dunamai, and then use as either a CLI:

# Display dynamic version from a detected version control system:
$ dunamai from any
0.2.0.post7.dev0+g29045e8

# Or use an explicit VCS and style:
$ dunamai from git --no-metadata --style semver
0.2.0-post.7.dev.0

# Custom formats:
$ dunamai from any --format "v{base}+{post}.{commit}"
v0.2.0+7.g29045e8

# Validation of custom formats:
$ dunamai from any --format "v{base}" --style pep440
Version 'v0.2.0' does not conform to the PEP 440 style

# More info
$ dunamai --help

Or as a library:

from dunamai import Version

# If `git describe` says `v0.1.0` or `v0.1.0-0-g644252b`
version = Version.from_git()
assert version.serialize() == "0.1.0"

# Or if `git describe` says `v0.1.0rc5-44-g644252b-dirty`
version = Version.from_any_vcs()
assert version.serialize() == "0.1.0rc5.post44.dev0+g644252b"
assert version.serialize(with_metadata=False) == "0.1.0rc5.post44.dev0"
assert version.serialize(with_dirty=True) == "0.1.0rc5.post44.dev0+g644252b.dirty"
assert version.serialize(style="semver") == "0.1.0-rc.5.post.44.dev.0+g644252b"

The serialize() method gives you an opinionated, PEP 440-compliant default that ensures that pre/post/development releases are compatible with Pip's --pre flag. The individual parts of the version are also available for you to use and inspect as you please:

assert version.base == "0.1.0"
assert version.epoch is None
assert version.pre_type == "rc"
assert version.pre_number == 5
assert version.post == 44
assert version.dev == 0
assert version.commit == "g644252b"
assert version.dirty

Comparison to Versioneer

Versioneer is another great library for dynamic versions, but there are some design decisions that prompted the creation of Dunamai as an alternative:

  • Versioneer requires a setup.py file to exist, or else versioneer install will fail, rendering it incompatible with non-setuptools-based projects such as those using Poetry or Flit. Dunamai can be used regardless of the project's build system.
  • Versioneer has a CLI that generates Python code which needs to be committed into your repository, whereas Dunamai is just a normal importable library with an optional CLI to help statically include your version string.
  • Versioneer produces the version as an opaque string, whereas Dunamai provides a Version class with discrete parts that can then be inspected and serialized separately.
  • Versioneer provides customizability through a config file, whereas Dunamai aims to offer customizability through its library API and CLI for both scripting support and use in other libraries.

Integration

  • Setting a __version__ statically:

    $ echo "__version__ = '$(dunamai from any)'" > your_library/_version.py
    
    # your_library/__init__.py
    from your_library._version import __version__
    

    Or dynamically (but Dunamai becomes a runtime dependency):

    # your_library/__init__.py
    import dunamai as _dunamai
    __version__ = _dunamai.get_version("your-library", third_choice=_dunamai.Version.from_any_vcs).serialize()
    
  • setup.py (no install-time dependency on Dunamai as long as you use wheels):

    from setuptools import setup
    from dunamai import Version
    
    setup(
        name="your-library",
        version=Version.from_any_vcs().serialize(),
    )
    

    Or you could use a static inclusion approach as in the prior example.

  • Poetry:

    $ poetry version $(dunamai from any)
    

Development

This project is managed using Poetry. After cloning the repository, run:

poetry install
poetry run pre-commit install

Run unit tests:

poetry run pytest --cov
poetry run tox

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