A library implementing the 'SemVer' scheme.
Project description
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 satisfy version spec
True
>>> 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:raphael.barrois+semver@polytechnique.org)
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
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