Plugin for Poetry to enable dynamic versioning based on VCS tags
Project description
Dynamic versioning plugin for Poetry
This package is a plugin for Poetry to enable dynamic versioning based on tags in your version control system, powered by Dunamai. Many different version control systems are supported, including Git and Mercurial; please refer to the Dunamai page for the full list (and minimum supported version where applicable).
Since Poetry does not yet officially support plugins (refer to this issue) as of the time of writing on 2019-10-19, this package takes some novel liberties to make the functionality possible. As soon as official support lands, this plugin will be updated to do things the official way.
Installation
Python 3.5+ and Poetry 1.0.2+ or poetry-core 1.0.0+ are required.
- Run
pip install poetry-dynamic-versioning
- Add this section to your pyproject.toml:
[tool.poetry-dynamic-versioning] enable = true
- Include the plugin in the
build-system
section of pyproject.toml for interoperability with PEP 517 build frontends.- Example using
poetry-core
as the build system:[build-system] requires = ["poetry-core>=1.0.0", "poetry-dynamic-versioning"] build-backend = "poetry.core.masonry.api"
- Example using
poetry
as the build system:[build-system] requires = ["poetry>=1.0.2", "poetry-dynamic-versioning"] build-backend = "poetry.masonry.api"
- Example using
Note that you must install the plugin in your global Python installation, not as a dev-dependency in pyproject.toml, because the virtual environment that Poetry creates cannot see Poetry itself and therefore cannot patch it.
Poetry's typical version
setting is still required in [tool.poetry]
,
but you are encouraged to use version = "0.0.0"
as a standard placeholder.
With the minimal configuration above, the plugin will automatically take effect
when you run commands such as poetry build
. It will update the version in
pyproject.toml, then revert the change when the plugin deactivates. If you want
to include a __version__
variable in your code, just put a placeholder in the
appropriate file and configure the plugin to update it (see below) if it isn't
one of the defaults. You are encouraged to use __version__ = "0.0.0"
as a
standard placeholder.
Configuration
In your pyproject.toml file, you may configure the following options:
[tool.poetry-dynamic-versioning]
: General options.-
enable
: Boolean. Default: false. Since the plugin has to be installed globally, this setting is an opt-in per project. This setting will likely be removed once plugins are officially supported. -
vcs
: String. This is the version control system to check for a version. One of:any
(default),git
,mercurial
,darcs
,bazaar
,subversion
,fossil
. -
metadata
: Boolean. Default: unset. If true, include the commit hash in the version, and also include a dirty flag ifdirty
is true. If unset, metadata will only be included if you are on a commit without a version tag. -
tagged-metadata
: Boolean. Default: false. If true, include any tagged metadata discovered as the first part of the metadata segment. Has no effect whenmetadata
is set to false. -
dirty
: Boolean. Default: false. If true, include a dirty flag in the metadata, indicating whether there are any uncommitted changes. Has no effect whenmetadata
is set to false. -
pattern
: String. This is a regular expression which will be used to find a tag representing a version. There must be a capture group namedbase
with the main part of the version. Optionally, it may contain another two groups namedstage
andrevision
for prereleases, and it may contain a group namedtagged_metadata
to be used with thetagged-metadata
option.The default is:
(?x) (?# ignore whitespace) ^v(?P<base>\d+\.\d+\.\d+) (?# e.g., v1.2.3) (-?((?P<stage>[a-zA-Z]+)\.?(?P<revision>\d+)?))? (?# e.g., beta-0) (\+(?P<tagged_metadata>.+))?$ (?# e.g., +linux)
Remember that the backslashes must be escaped (
\\
) in the TOML file. -
format
: String. Default: unset. This defines a custom output format for the version. Available substitutions:{base}
{stage}
{revision}
{distance}
{commit}
{dirty}
{tagged_metadata}
Example:
v{base}+{distance}.{commit}
-
format-jinja
: String. Default: unset. This defines a custom output format for the version, using a Jinja template. When this is set,format
is ignored.Available variables:
base
(string)stage
(string or None)revision
(integer or None)distance
(integer)commit
(string)dirty
(boolean)tagged_metadata
(string or None)version
(dunumai.Version)env
(dictionary of environment variables)
Available functions:
bump_version
(from Dunamai)serialize_pep440
(from Dunamai)serialize_semver
(from Dunamai)serialize_pvp
(from Dunamai)
Simple example:
format-jinja = "{% if distance == 0 %}{{ base }}{% else %}{{ base }}+{{ distance }}.{{ commit }}{% endif %}"
Complex example:
format-jinja = """ {%- if distance == 0 -%} {{ serialize_pep440(base, stage, revision) }} {%- elif revision is not none -%} {{ serialize_pep440(base, stage, revision + 1, dev=distance, metadata=[commit]) }} {%- else -%} {{ serialize_pep440(bump_version(base), stage, revision, dev=distance, metadata=[commit]) }} {%- endif -%} """
-
format-jinja-imports
: Array of tables. Default: empty. This defines additional things to import and make available to theformat-jinja
template. Each table must contain amodule
key and may also contain anitem
key. Consider this example:format-jinja-imports = [ { module = "foo" }, { module = "bar", item = "baz" }, ]
This is roughly equivalent to:
import foo from bar import baz
foo
andbaz
would then become available in the Jinja formatting. -
style
: String. Default: unset. One of:pep440
,semver
,pvp
. These are preconfigured output formats. If you set both astyle
and aformat
, then the format will be validated against the style's rules. Ifstyle
is unset, the default output format will follow PEP 440, but a customformat
will only be validated ifstyle
is set explicitly. -
latest-tag
: Boolean. Default: false. If true, then only check the latest tag for a version, rather than looking through all the tags until a suitable one is found to match thepattern
. -
bump
: Boolean. Default: false. If true, then increment the last part of the versionbase
by 1, unless thestage
is set, in which case increment therevision
by 1 or set it to a default of 2 if there was norevision
. Does nothing when on a commit with a version tag.Example, if there have been 3 commits since the
v1.3.1
tag:- PEP 440 with
bump = false
:1.3.1.post3.dev0+28c1684
- PEP 440 with
bump = true
:1.3.2.dev3+28c1684
- PEP 440 with
-
[tool.poetry-dynamic-versioning.subversion]
: Options specific to Subversion.tag-dir
: String. Default:tags
. This is the location of tags relative to the root.
[tool.poetry-dynamic-versioning.substitution]
: Insert the dynamic version into additional files other than just pyproject.toml. These changes will be reverted when the plugin deactivates.-
files
: List of globs for any files that need substitutions. Default:["*.py", "*/__init__.py", "*/__version__.py", "*/_version.py"]
. To disable substitution, set this to an empty list. -
patterns
: List of regular expressions for the text to replace. Each regular expression must have two capture groups, which are any text to preserve before and after the replaced text. Default:["(^__version__\s*=\s*['\"])[^'\"]*(['\"])"]
.Remember that the backslashes must be escaped (
\\
) in the TOML file.
-
Simple example:
[tool.poetry-dynamic-versioning]
enable = true
vcs = "git"
style = "semver"
Command line mode
The plugin also has a command line mode for execution on demand.
This mode applies the dynamic version to all relevant files and leaves
the changes in-place, allowing you to inspect the result.
Your configuration will be detected from pyproject.toml as normal,
but the enable
option is not necessary.
To activate this mode, run the poetry-dynamic-versioning
command
in your console.
Caveats
-
The dynamic version is not available during
poetry run
because Poetry usesos.execvp()
. -
Regarding PEP 517 support:
pip wheel .
will not work, because Pip creates an isolated copy of the source code, which does not contain the Git history and therefore cannot determine the dynamic version.If you want to build wheels of your dependencies, you can do the following, but it won't work with path dependencies for the same reason as above:
poetry export -f requirements.txt -o requirements.txt --without-hashes pip wheel -r requirements.txt
With newer versions of Pip, you can pass
--use-feature=in-tree-build
to make thepip wheel .
andpip install .
commands work.
Implementation
In order to side-load plugin functionality into Poetry, this package does the following:
- Upon installation, it delivers a
zzz_poetry_dynamic_versioning.pth
file to your Python site-packages directory. This forces Python to automatically load the plugin after all other modules have been loaded (or at least those alphabetically prior tozzz
). - It first tries to patch
poetry.factory.Factory.create_poetry
andpoetry.console.commands.run.RunCommand
directly. If they cannot be imported, then it patchesbuiltins.__import__
so that, whenever those classes are first imported, then they will be patched. The reason we may have to wait for these to be imported is in case you've used the get-poetry.py script, in which case there is a gap between when Python is fully loaded and when~/.poetry/bin/poetry
adds the Poetry lib folder to the PYTHONPATH. - The patched version of
Factory
will compute and apply the dynamic version. - The patched version of
RunCommand
will deactivate the plugin before executing the passed command, because otherwise we will not be able to do any cleanup afterwards.
Development
Please refer to CONTRIBUTING.md.
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