PyScaffold helps you setup a new Python project. Just install it with:
pip install pyscaffold
or if you want to also install all extensions with:
pip install pyscaffold[all]
If you prefer conda over pip, just install PyScaffold with:
conda install -c conda-forge pyscaffold
This will give you a new putup
command and you can just type:
putup my_project
This will create a new folder called my_project
containing a perfect project
template with everything you need for some serious coding. After the usual:
python setup.py develop
you are all set and ready to go.
Type putup -h
to learn about more configuration options. PyScaffold assumes
that you have Git installed and set up on your PC,
meaning at least your name and email are configured.
The project template in my_project
provides you with following features:
Configuration & Packaging
All configuration can be done in setup.cfg
like changing the description,
url, classifiers, installation requirements and so on as defined by setuptools.
That means in most cases it is not necessary to tamper with setup.py
.
In order to build a source, binary or wheel distribution, just run
python setup.py sdist
, python setup.py bdist
or
python setup.py bdist_wheel
(recommended).
Package and Files Data
Additional data, e.g. images and text files, that reside within your package and
are tracked by Git will automatically be included
(include_package_data = True
in setup.cfg
).
It is not necessary to have a MANIFEST.in
file for this to work.
Versioning and Git Integration
Your project is an already initialised Git repository and setup.py
uses
the information of tags to infer the version of your project with the help of
setuptools_scm.
To use this feature, you need to tag with the format MAJOR.MINOR[.PATCH]
, e.g. 0.0.1
or 0.1
.
Run python setup.py --version
to retrieve the current PEP440-compliant
version. This version
will be used when building a package and is also accessible through
my_project.__version__
.
Unleash the power of Git by using its pre-commit hooks. This feature is
available through the --pre-commit
flag. After your project's scaffold
was generated, make sure pre-commit is installed, e.g. pip install pre-commit
,
then just run pre-commit install
.
A default .gitignore
file is also provided; it is
well adjusted for Python projects and the most common tools.
Sphinx Documentation
Build the documentation with python setup.py docs
and run doctests with
python setup.py doctest
after you have Sphinx installed.
Start editing the file docs/index.rst
to extend the documentation.
The documentation also works with Read the Docs.
The Numpy and Google style docstrings are activated by default. Just make sure Sphinx 1.3 or above is installed.
Unittest & Coverage
Run python setup.py test
to run all unittests defined in the subfolder
tests
with the help of py.test and pytest-runner. Some sane
default flags for py.test are already defined in the [tool:pytest]
section of
setup.cfg
. The py.test plugin pytest-cov is used to automatically
generate a coverage report. It is also possible to provide additional
parameters and flags on the commandline, e.g., type:
python setup.py test --addopts -h
to show the help of py.test.
JUnit and Coverage HTML/XML
For usage with a continuous integration software JUnit and Coverage XML output
can be activated in setup.cfg
. Use the flag --travis
to generate
templates of the Travis configuration files
.travis.yml
and tests/travis_install.sh
which even features the
coverage and stats system Coveralls.
In order to use the virtualenv management and test tool Tox the flag
--tox
can be specified.
Management of Requirements & Licenses
Installation requirements of your project can be defined inside setup.cfg
,
e.g. install_requires = numpy; scipy
. To avoid package dependency problems,
it is common to not pin installation requirements to any specific version,
although minimum versions, e.g. sphinx>=1.3
, or maximum versions, e.g.
pandas<0.12
, are used sometimes.
More specific installation requirements should go into requirements.txt
.
This file can also be managed with the help of pip compile
from pip-tools
that basically pins packages to the current version, e.g. numpy==1.13.1
.
The packages defined in requirements.txt
can be easily installed with:
pip install -r requirements.txt
All licenses from choosealicense.com can be easily selected with the help
of the --license
flag.
Extensions
PyScaffold comes with several extensions:
- Create a Django project with the flag
--django
which is equivalent todjango-admin.py startproject my_project
enhanced by PyScaffold's features. - Create a template for your own PyScaffold extension with
--custom-extension
after having installed pyscaffoldext-custom-extension withpip
. - Have a
README.md
based on MarkDown instead ofREADME.rst
by using--markdown
after having installed pyscaffoldext-markdown withpip
. - Add a
pyproject.toml
file according to PEP 518 to your template by using--pyproject
after having installed pyscaffoldext-pyproject withpip
. - With the help of Cookiecutter it is possible to further customize your project
setup with a template tailored for PyScaffold. Just use the flag
--cookiecutter TEMPLATE
to use a cookiecutter template which will be refined by PyScaffold afterwards. - ... and many more like
--gitlab
to create the necessary files for GitLab.
Find more extensions within the PyScaffold organisation and consider contributing your own.
Easy Updating
Keep your project's scaffold up-to-date by applying
putup --update my_project
when a new version of PyScaffold was released.
An update will only overwrite files that are not often altered by users like
setup.py
. To update all files use --update --force
.
An existing project that was not setup with PyScaffold can be converted with
putup --force existing_project
. The force option is completely safe to use
since the git repository of the existing project is not touched!