Making a Flask app installable using setuptools
So, we have a Flask application now, but how do we install it just like any Python package? It is possible that any other application depends on our application or our application is in fact an extension for Flask and would need to be installed in a Python environment so that it can be used by other applications.
How to do it…
Installing a Flask app can be achieved very easily using the setuptools
library of Python. We will have to create a file called setup.py
in our application's folder and configure it to run a setup script for our application. It will take care of any dependencies, descriptions, loading test packages, and so on.
The following is an example of a simple setup.py
script for our Hello World application:
#!/usr/bin/env python # -*- coding: UTF-8 -*- import os from setuptools import setup setup( name = 'my_app', version='1.0', license='GNU General Public License v3', author='Shalabh Aggarwal', author_email='contact@shalabhaggarwal.com', description='Hello world application for Flask', packages=['my_app'], platforms='any', install_requires=[ 'flask', ], classifiers=[ 'Development Status :: 4 - Beta', 'Environment :: Web Environment', 'Intended Audience :: Developers', 'License :: OSI Approved :: GNU General Public License v3', 'Operating System :: OS Independent', 'Programming Language :: Python', 'Topic :: Internet :: WWW/HTTP :: Dynamic Content', 'Topic :: Software Development :: Libraries :: Python Modules' ], )
How it works…
In the preceding script, most of the configuration is self-explanatory. The classifiers are used when we make this application available on PyPI. These will help other users search the application using these classifiers.
Now, we can just run this file with the install
keyword as shown here:
$ python setup.py install
This will install this application along with all its dependencies mentioned in install_requires
, that is, Flask and all the dependencies of Flask as well. Then, this app can be used just like any Python package in our Python environment.
See also
- The list of valid trove classifiers can be found at https://pypi.python.org/pypi?%3Aaction=list_classifiers