semantic-version 2.8.5

A library implementing the 'SemVer' scheme.

python-semanticversion

This small python library provides a few tools to handle SemVer in Python. It follows strictly the 2.0.0 version of the SemVer scheme.

Links

• Package on PyPI: http://pypi.python.org/pypi/semantic_version/

• Doc on ReadTheDocs: https://python-semanticversion.readthedocs.io/

• Source on GitHub: http://github.com/rbarrois/python-semanticversion/

• Build on Travis CI: http://travis-ci.org/rbarrois/python-semanticversion/

• Semantic Version specification: SemVer

Getting started

Install the package from PyPI, using pip:

pip install semantic_version

Or from GitHub:

$ git clone git://github.com/rbarrois/python-semanticversion.git

Import it in your code:

import semantic_version

This module provides classes to handle semantic versions:

• Version represents a version number (0.1.1-alpha+build.2012-05-15)

• BaseSpec-derived classes represent requirement specifications (>=0.1.1,<0.3.0):

  • SimpleSpec describes a natural description syntax

  • NpmSpec is used for NPM-style range descriptions.

Versions

Defining a Version is quite simple:

>>> import semantic_version
>>> v = semantic_version.Version('0.1.1')
>>> v.major
0
>>> v.minor
1
>>> v.patch
1
>>> v.prerelease
[]
>>> v.build
[]
>>> list(v)
[0, 1, 1, [], []]

If the provided version string is invalid, a ValueError will be raised:

>>> semantic_version.Version('0.1')
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/Users/rbarrois/dev/semantic_version/src/semantic_version/base.py", line 64, in __init__
    major, minor, patch, prerelease, build = self.parse(version_string, partial)
  File "/Users/rbarrois/dev/semantic_version/src/semantic_version/base.py", line 86, in parse
    raise ValueError('Invalid version string: %r' % version_string)
ValueError: Invalid version string: '0.1'

Obviously, Versions can be compared:

>>> semantic_version.Version('0.1.1') < semantic_version.Version('0.1.2')
True
>>> semantic_version.Version('0.1.1') > semantic_version.Version('0.1.1-alpha')
True
>>> semantic_version.Version('0.1.1') <= semantic_version.Version('0.1.1-alpha')
False

You can also get a new version that represents a bump in one of the version levels:

>>> v = semantic_version.Version('0.1.1+build')
>>> new_v = v.next_major()
>>> str(new_v)
'1.0.0'
>>> v = semantic_version.Version('1.1.1+build')
>>> new_v = v.next_minor()
>>> str(new_v)
'1.2.0'
>>> v = semantic_version.Version('1.1.1+build')
>>> new_v = v.next_patch()
>>> str(new_v)
'1.1.2'

It is also possible to check whether a given string is a proper semantic version string:

>>> semantic_version.validate('0.1.3')
True
>>> semantic_version.validate('0a2')
False

Finally, one may create a Version with named components instead:

>>> semantic_version.Version(major=0, minor=1, patch=2)
Version('0.1.2')

In that case, major, minor and patch are mandatory, and must be integers. prerelease and patch, if provided, must be tuples of strings:

>>> semantic_version.Version(major=0, minor=1, patch=2, prerelease=('alpha', '2'))
Version('0.1.2-alpha.2')

Requirement specification

The SimpleSpec object describes a range of accepted versions:

>>> s = SimpleSpec('>=0.1.1')  # At least 0.1.1
>>> s.match(Version('0.1.1'))
True
>>> s.match(Version('0.1.1-alpha1'))  # pre-release doesn't satisfy version spec
False
>>> s.match(Version('0.1.0'))
False

Simpler test syntax is also available using the in keyword:

>>> s = SimpleSpec('==0.1.1')
>>> Version('0.1.1-alpha1') in s
True
>>> Version('0.1.2') in s
False

Combining specifications can be expressed as follows:

>>> SimpleSpec('>=0.1.1,<0.3.0')

Using a specification

The SimpleSpec.filter method filters an iterable of Version:

>>> s = SimpleSpec('>=0.1.0,<0.4.0')
>>> versions = (Version('0.%d.0' % i) for i in range(6))
>>> for v in s.filter(versions):
...     print v
0.1.0
0.2.0
0.3.0

It is also possible to select the ‘best’ version from such iterables:

>>> s = SimpleSpec('>=0.1.0,<0.4.0')
>>> versions = (Version('0.%d.0' % i) for i in range(6))
>>> s.select(versions)
Version('0.3.0')

Coercing an arbitrary version string

Some user-supplied input might not match the semantic version scheme. For such cases, the Version.coerce method will try to convert any version-like string into a valid semver version:

>>> Version.coerce('0')
Version('0.0.0')
>>> Version.coerce('0.1.2.3.4')
Version('0.1.2+3.4')
>>> Version.coerce('0.1.2a3')
Version('0.1.2-a3')

Including pre-release identifiers in specifications

When testing a Version against a SimpleSpec, comparisons are adjusted for common user expectations; thus, a pre-release version (1.0.0-alpha) will not satisfy the ==1.0.0 SimpleSpec.

Pre-release identifiers will only be compared if included in the BaseSpec definition or (for the empty pre-release number) if a single dash is appended (1.0.0-):

>>> Version('0.1.0-alpha') in SimpleSpec('<0.1.0')  # No pre-release identifier
False
>>> Version('0.1.0-alpha') in SimpleSpec('<0.1.0-')  # Include pre-release in checks
True

Including build metadata in specifications

Build metadata has no ordering; thus, the only meaningful comparison including build metadata is equality.

>>> Version('1.0.0+build2') in SimpleSpec('<=1.0.0')   # Build metadata ignored
True
>>> Version('1.0.0+build1') in SimpleSpec('==1.0.0+build2')  # Include build in checks
False

NPM-based ranges

The NpmSpec class handles NPM-style ranges:

>>> Version('1.2.3') in NpmSpec('1.2.2 - 1.4')
True
>>> Version('1.2.3') in NpmSpec('<1.x || >=1.2.3')
True

Refer to https://docs.npmjs.com/misc/semver.html for a detailed description of NPM range syntax.

Using with Django

The semantic_version.django_fields module provides django fields to store Version or BaseSpec objects.

More documentation is available in the django section.

Contributing

In order to contribute to the source code:

• Open an issue on GitHub: https://github.com/rbarrois/python-semanticversion/issues

• Fork the repository and submit a pull request on GitHub

• Or send me a patch (mailto:[e-mail])

When submitting patches or pull requests, you should respect the following rules:

• Coding conventions are based on 8

• The whole test suite must pass after adding the changes

• The test coverage for a new feature must be 100%

• New features and methods should be documented in the reference section and included in the changelog

• Include your name in the contributors section

Note

All files should contain the following header:

# -*- encoding: utf-8 -*-
# Copyright (c) The python-semanticversion project

Contents

maxdepth:

2

reference django changelog credits

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