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:
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.
Note that the include_package_data
option in setup.cfg
is only guaranteed to be read when creating wheels. Other distribution methods might behave unexpectedly (e.g. always including data files even when include_package_data = False
). Therefore, the best option if you want to have data files in your repository but not as part of the pip installable package is to add them somewhere outside the src
directory (e.g. a files
directory in the root of the project, or inside tests
if you use them for checks). Additionally you can exclude them explicitly via the [options.packages.find] exclude
option in setup.cfg
.
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.
PyScaffold will prepare a docs directory with all you need to start writing your documentation. 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.
If you have make and Sphinx installed in your computer, build the documentation with make -C docs html
and run doctests with make -C docs doctest
. Alternatively, if your project was created with the --tox
option, simply run tox -e docs
ot tox -e doctests
.
PyScaffold relies on py.test to run all unittests defined in the subfolder tests
. Some sane default flags for py.test are already defined in the [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:
py.test -h
to show the help of py.test (requires py.test to be installed in your system or virtualenv).
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.
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.
PyScaffold comes with several extensions:
- If you want a project setup for a Data Science task, just use
--dsproject
after having installed pyscaffoldext-dsproject. - Create a Django project with the flag
--django
which is equivalent todjango-admin 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. All extensions can easily be installed with pip pyscaffoldext-NAME
.
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!