# hg-review / bundled / flask / docs / extensiondev.rst

Flask, being a microframework, often requires some repetitive steps to get a third party library working. Because very often these steps could be abstracted to support multiple projects the Flask Extension Registry was created.

If you want to create your own Flask extension for something that does not exist yet, this guide to extension development will help you get your extension running in no time and to feel like users would expect your extension to behave.

## Anatomy of an Extension

Extensions are all located in a package called flaskext.something where "something" is the name of the library you want to bridge. So for example if you plan to add support for a library named simplexml to Flask, you would name your extension's package flaskext.simplexml.

The name of the actual extension (the human readable name) however would be something like "Flask-SimpleXML". Make sure to include the name "Flask" somewhere in that name and that you check the capitalization. This is how users can then register dependencies to your extension in their setup.py files.

The magic that makes it possible to have your library in a package called flaskext.something is called a "namespace package". Check out the guide below how to create something like that.

But how do extensions look like themselves? An extension has to ensure that it works with multiple Flask application instances at once. This is a requirement because many people will use patterns like the :ref:app-factories pattern to create their application as needed to aid unittests and to support multiple configurations. Because of that it is crucial that your application supports that kind of behaviour.

Most importantly the extension must be shipped with a setup.py file and registered on PyPI. Also the development checkout link should work so that people can easily install the development version into their virtualenv without having to download the library by hand.

Flask extensions must be licensed as BSD or MIT or a more liberal license to be enlisted on the Flask Extension Registry. Keep in mind that the Flask Extension Registry is a moderated place and libraries will be reviewed upfront if they behave as required.

So let's get started with creating such a Flask extension. The extension we want to create here will provide very basic support for SQLite3.

There is a script on github called Flask Extension Wizard which helps you create the initial folder structure. But for this very basic example we want to create all by hand to get a better feeling for it.

First we create the following folder structure:

flask-sqlite3/
__init__.py
sqlite3.py
setup.py


Here's the contents of the most important files:

The only purpose of this file is to mark the package as namespace package. This is required so that multiple modules from different PyPI packages can reside in the same Python package:

__import__('pkg_resources').declare_namespace(__name__)


If you want to know exactly what is happening there, checkout the distribute or setuptools docs which explain how this works.

Just make sure to not put anything else in there!

### setup.py

The next file that is absolutely required is the setup.py file which is used to install your Flask extension. The following contents are something you can work with:

"""
-------------

This is the description for that library
"""
from setuptools import setup

setup(
version='1.0',
author_email='your-email@example.com',
description='Very short description',
long_description=__doc__,
zip_safe=False,
platforms='any',
install_requires=[
],
classifiers=[
'Environment :: Web Environment',
'Intended Audience :: Developers',
'Operating System :: OS Independent',
'Programming Language :: Python',
'Topic :: Internet :: WWW/HTTP :: Dynamic Content',
'Topic :: Software Development :: Libraries :: Python Modules'
]
)


That's a lot of code but you can really just copy/paste that from existing extensions and adapt. This is also what the wizard creates for you if you use it.

Now this is where your extension code goes. But how exactly should such an extension look like? What are the best practices? Continue reading for some insight.

## Initializing Extensions

Many extensions will need some kind of initialization step. For example, consider your application is currently connecting to SQLite like the documentation suggests (:ref:sqlite3) you will need to provide a few functions and before / after request handlers. So how does the extension know the name of the application object?

Quite simple: you pass it to it.

There are two recommended ways for an extension to initialize:

initialization functions:
If your extension is called helloworld you might have a function called init_helloworld(app[, extra_args]) that initializes the extension for that application. It could attach before / after handlers etc.
classes:
Classes work mostly like initialization functions but can later be used to further change the behaviour. For an example look at how the OAuth extension works: there is an OAuth object that provides some helper functions like OAuth.remote_app to create a reference to a remote application that uses OAuth.

What to use depends on what you have in mind. For the SQLite 3 extension we will need to use the class based approach because we have to use a controller object that can be used to connect to the database.

## The Extension Code

Here's the contents of the flaskext/sqlite3.py for copy/paste:

from __future__ import absolute_import
import sqlite3

class SQLite3(object):

def __init__(self, app):
self.app = app
self.app.config.setdefault('SQLITE3_DATABASE', ':memory:')

self.app.before_request(self.before_request)
self.app.after_request(self.after_request)

def connect(self):
return sqlite3.connect(self.app.config['SQLITE3_DATABASE'])

def before_request(self):
g.sqlite3_db = self.connect()

def after_request(self, response):
g.sqlite3_db.close()
return response


So here's what the lines of code do:

1. the __future__ import is necessary to activate absolute imports. This is needed because otherwise we could not call our module sqlite3.py and import the top-level sqlite3 module which actually implements the connection to SQLite.
2. We create a class for our extension that sets a default configuration for the SQLite 3 database if it's not there (:meth:dict.setdefault) and connects two functions as before and after request handlers.
3. Then it implements a connect function that returns a new database connection and the two handlers.

So why did we decide on a class based approach here? Because using that extension looks something like this:

from flask import Flask, g

app.config.from_pyfile('the-config.cfg')
db = SQLite(app)


Either way you can use the database from the views like this:

@app.route('/')
def show_all():
cur = g.sqlite3_db.cursor()
cur.execute(...)


But how would you open a database connection from outside a view function? This is where the db object now comes into play:

>>> from yourapplication import db
>>> con = db.connect()
>>> cur = con.cursor()


If you don't need that, you can go with initialization functions.

## Initialization Functions

Here's what the module would look like with initialization functions:

from __future__ import absolute_import
import sqlite3

def init_sqlite3(app):
app = app
app.config.setdefault('SQLITE3_DATABASE', ':memory:')

@app.before_request
def before_request():
g.sqlite3_db = sqlite3.connect(self.app.config['SQLITE3_DATABASE'])

@app.after_request
def after_request(response):
g.sqlite3_db.close()
return response


## Learn from Others

This documentation only touches the bare minimum for extension development. If you want to learn more, it's a very good idea to check out existing extensions on the Flask Extension Registry. If you feel lost there is still the mailinglist and the IRC channel to get some ideas for nice looking APIs. Especially if you do something nobody before you did, it might be a very good idea to get some more input. This not only to get an idea about what people might want to have from an extension, but also to avoid having multiple developers working on pretty much the same side by side.

Remember: good API design is hard, so introduce your project on the mailinglist, and let other developers give you a helping hand with designing the API.

The best Flask extensions are extensions that share common idioms for the API. And this can only work if collaboration happens early.

## Approved Extensions

Flask also has the concept of approved extensions. Approved extensions are tested as part of Flask itself to ensure extensions do not break on new releases. These approved extensions are listed on the Flask Extension Registry and marked appropriately. If you want your own extension to be approved you have to follow these guidelines:

1. An approved Flask extension must provide exactly one package or module inside the flaskext namespace package.
2. It must ship a testsuite that can either be invoked with make test or python setup.py test. For testsuites invoked with make test the extension has to ensure that all dependencies for the test are installed automatically, in case of python setup.py test dependencies for tests alone can be specified in the setup.py file. The testsuite also has to be part of the distribution.
3. APIs of approved extensions will be checked for the following characteristics:
• an approved extension has to support multiple applications running in the same Python process.
• it must be possible to use the factory pattern for creating applications.