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Deploying with Distribute
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=========================
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`distribute`_, formerly setuptools, is an extension library that is
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commonly used to (like the name says) distribute Python libraries and
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extensions. It extends distutils, a basic module installation system
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shipped with Python to also support various more complex constructs that
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make larger applications easier to distribute:
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- **support for dependencies**: a library or application can declare a
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list of other libraries it depends on which will be installed
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automatically for you.
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- **package registry**: setuptools registers your package with your
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Python installation. This makes it possible to query information
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provided by one package from another package. The best known feature of
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this system is the entry point support which allows one package to
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declare an "entry point" another package can hook into to extend the
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other package.
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- **installation manager**: `easy_install`, which comes with distribute
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can install other libraries for you. You can also use `pip`_ which
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sooner or later will replace `easy_install` which does more than just
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installing packages for you.
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Flask itself, and all the libraries you can find on the cheeseshop
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are distributed with either distribute, the older setuptools or distutils.
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In this case we assume your application is called
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`yourapplication.py` and you are not using a module, but a `package
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<larger-applications>`_. Distributing resources with standard modules is
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not supported by `distribute`_ so we will not bother with it. If you have
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not yet converted your application into a package, head over to the
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:ref:`larger-applications` pattern to see how this can be done.
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Basic Setup Script
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------------------
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Because you have Flask running, you either have setuptools or distribute
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available on your system anyways. If you do not, fear not, there is a
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script to install it for you: `distribute_setup.py`_. Just download and
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run with your Python interpreter.
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Standard disclaimer applies: :ref:`you better use a virtualenv
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<virtualenv>`.
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Your setup code always goes into a file named `setup.py` next to your
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application. The name of the file is only convention, but because
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everybody will look for a file with that name, you better not change it.
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Yes, even if you are using `distribute`, you are importing from a package
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called `setuptools`. `distribute` is fully backwards compatible with
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`setuptools`, so it also uses the same import name.
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A basic `setup.py` file for a Flask application looks like this::
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from setuptools import setup
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setup(
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name='Your Application',
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version='1.0',
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long_description=__doc__,
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packages=['yourapplication'],
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include_package_data=True,
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zip_safe=False,
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install_requires=['Flask']
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)
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Please keep in mind that you have to list subpackages explicitly. If you
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want distribute to lookup the packages for you automatically, you can use
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the `find_packages` function::
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from setuptools import setup, find_packages
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setup(
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...
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packages=find_packages()
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)
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Most parameters to the `setup` function should be self explanatory,
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`include_package_data` and `zip_safe` might not be.
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`include_package_data` tells distribute to look for a `MANIFEST.in` file
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and install all the entries that match as package data. We will use this
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to distribute the static files and templates along with the Python module
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(see :ref:`distributing-resources`). The `zip_safe` flag can be used to
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force or prevent zip Archive creation. In general you probably don't want
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your packages to be installed as zip files because some tools do not
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support them and they make debugging a lot harder.
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.. _distributing-resources:
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Distributing Resources
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----------------------
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If you try to install the package you just created, you will notice that
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folders like `static` or `templates` are not installed for you. The
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reason for this is that distribute does not know which files to add for
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you. What you should do, is to create a `MANIFEST.in` file next to your
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`setup.py` file. This file lists all the files that should be added to
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your tarball::
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recursive-include yourapplication/templates *
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recursive-include yourapplication/static *
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Don't forget that even if you enlist them in your `MANIFEST.in` file, they
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won't be installed for you unless you set the `include_package_data`
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parameter of the `setup` function to `True`!
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Declaring Dependencies
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----------------------
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Dependencies are declared in the `install_requires` parameter as list.
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Each item in that list is the name of a package that should be pulled from
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PyPI on installation. By default it will always use the most recent
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version, but you can also provide minimum and maximum version
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requirements. Here some examples::
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install_requires=[
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'Flask>=0.2',
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'SQLAlchemy>=0.6',
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'BrokenPackage>=0.7,<=1.0'
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]
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I mentioned earlier that dependencies are pulled from PyPI. What if you
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want to depend on a package that cannot be found on PyPI and won't be
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because it is an internal package you don't want to share with anyone?
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Just still do as if there was a PyPI entry for it and provide a list of
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alternative locations where distribute should look for tarballs::
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dependency_links=['http://example.com/yourfiles']
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Make sure that page has a directory listing and the links on the page are
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pointing to the actual tarballs with their correct filenames as this is
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how distribute will find the files. If you have an internal company
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server that contains the packages, provide the URL to that server there.
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Installing / Developing
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-----------------------
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To install your application (ideally into a virtualenv) just run the
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`setup.py` script with the `install` parameter. It will install your
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application into the virtualenv's site-packages folder and also download
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and install all dependencies::
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$ python setup.py install
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If you are developing on the package and also want the requirements to be
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installed, you can use the `develop` command instead::
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$ python setup.py develop
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This has the advantage of just installing a link to the site-packages
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folder instead of copying the data over. You can then continue to work on
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the code without having to run `install` again after each change.
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.. _distribute: http://pypi.python.org/pypi/distribute
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.. _pip: http://pypi.python.org/pypi/pip
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.. _distribute_setup.py: http://python-distribute.org/distribute_setup.py
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