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Updated documentation for Setuptools

Updated documentation by removing references of distribute and adding
references of setuptools.

Signed-off-by: Abhijeet Kasurde <akasurde@redhat.com>
pull/1588/head
Abhijeet Kasurde 9 years ago
parent
commit
15f267e1ee
  1. 29
      docs/patterns/distribute.rst

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docs/patterns/distribute.rst

@ -1,10 +1,10 @@
.. _distribute-deployment: .. _distribute-deployment:
Deploying with Distribute Deploying with Setuptools
========================= =========================
`distribute`_, formerly setuptools, is an extension library that is `Setuptools`_, is an extension library that is commonly used to
commonly used to (like the name says) distribute Python libraries and (like the name says) distribute Python libraries and
extensions. It extends distutils, a basic module installation system extensions. It extends distutils, a basic module installation system
shipped with Python to also support various more complex constructs that shipped with Python to also support various more complex constructs that
make larger applications easier to distribute: make larger applications easier to distribute:
@ -28,10 +28,9 @@ are distributed with either distribute, the older setuptools or distutils.
In this case we assume your application is called In this case we assume your application is called
:file:`yourapplication.py` and you are not using a module, but a :ref:`package :file:`yourapplication.py` and you are not using a module, but a :ref:`package
<larger-applications>`. Distributing resources with standard modules is <larger-applications>`. If you have not yet converted your application into
not supported by `distribute`_ so we will not bother with it. If you have a package, head over to the :ref:`larger-applications` pattern to see
not yet converted your application into a package, head over to the how this can be done.
:ref:`larger-applications` pattern to see how this can be done.
A working deployment with distribute is the first step into more complex A working deployment with distribute is the first step into more complex
and more automated deployment scenarios. If you want to fully automate and more automated deployment scenarios. If you want to fully automate
@ -40,9 +39,9 @@ the process, also read the :ref:`fabric-deployment` chapter.
Basic Setup Script Basic Setup Script
------------------ ------------------
Because you have Flask running, you either have setuptools or distribute Because you have Flask running, you have setuptools available on your system anyways.
available on your system anyways. If you do not, fear not, there is a Flask already depends upon setuptools. If you do not, fear not, there is a
script to install it for you: `distribute_setup.py`_. Just download and script to install it for you: `ez_setup.py`_. Just download and
run with your Python interpreter. run with your Python interpreter.
Standard disclaimer applies: :ref:`you better use a virtualenv Standard disclaimer applies: :ref:`you better use a virtualenv
@ -52,10 +51,6 @@ Your setup code always goes into a file named :file:`setup.py` next to your
application. The name of the file is only convention, but because application. The name of the file is only convention, but because
everybody will look for a file with that name, you better not change it. everybody will look for a file with that name, you better not change it.
Yes, even if you are using `distribute`, you are importing from a package
called `setuptools`. `distribute` is fully backwards compatible with
`setuptools`, so it also uses the same import name.
A basic :file:`setup.py` file for a Flask application looks like this:: A basic :file:`setup.py` file for a Flask application looks like this::
from setuptools import setup from setuptools import setup
@ -127,7 +122,7 @@ requirements. Here some examples::
'BrokenPackage>=0.7,<=1.0' 'BrokenPackage>=0.7,<=1.0'
] ]
I mentioned earlier that dependencies are pulled from PyPI. What if you As mentioned earlier that dependencies are pulled from PyPI. What if you
want to depend on a package that cannot be found on PyPI and won't be want to depend on a package that cannot be found on PyPI and won't be
because it is an internal package you don't want to share with anyone? because it is an internal package you don't want to share with anyone?
Just still do as if there was a PyPI entry for it and provide a list of Just still do as if there was a PyPI entry for it and provide a list of
@ -161,6 +156,6 @@ folder instead of copying the data over. You can then continue to work on
the code without having to run `install` again after each change. the code without having to run `install` again after each change.
.. _distribute: https://pypi.python.org/pypi/distribute
.. _pip: https://pypi.python.org/pypi/pip .. _pip: https://pypi.python.org/pypi/pip
.. _distribute_setup.py: http://python-distribute.org/distribute_setup.py .. _ez_setup.py: https://bootstrap.pypa.io/ez_setup.py
.. _Setuptools: https://pythonhosted.org/setuptools

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