Flask Extension Development¶
Flask, being a microframework, often requires some repetitive steps to get a third party library working. Many such extensions are already available on PyPI.
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
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
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
But what 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 Application 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 behavior.
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 under a BSD, MIT or more liberal license in order to be listed in 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.
First we create the following folder structure:
flask-sqlite3/ flask_sqlite3.py LICENSE README
Here’s the contents of the most important files:
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:
""" Flask-SQLite3 ------------- This is the description for that library """ from setuptools import setup setup( name='Flask-SQLite3', version='1.0', url='http://example.com/flask-sqlite3/', license='BSD', author='Your Name', email@example.com', description='Very short description', long_description=__doc__, py_modules=['flask_sqlite3'], # if you would be using a package instead use packages instead # of py_modules: # packages=['flask_sqlite3'], zip_safe=False, include_package_data=True, platforms='any', install_requires=[ 'Flask' ], classifiers=[ 'Environment :: Web Environment', 'Intended Audience :: Developers', 'License :: OSI Approved :: BSD License', '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.
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.
Many extensions will need some kind of initialization step. For example, consider an application that’s currently connecting to SQLite like the documentation suggests (Using SQLite 3 with Flask). 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:
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 work mostly like initialization functions but can later be used to further change the behavior.
What to use depends on what you have in mind. For the SQLite 3 extension we will use the class-based approach because it will provide users with an object that handles opening and closing database connections.
When designing your classes, it’s important to make them easily reusable at the module level. This means the object itself must not under any circumstances store any application specific state and must be shareable between different applications.
The Extension Code¶
Here’s the contents of the flask_sqlite3.py for copy/paste:
import sqlite3 from flask import current_app, _app_ctx_stack class SQLite3(object): def __init__(self, app=None): self.app = app if app is not None: self.init_app(app) def init_app(self, app): app.config.setdefault('SQLITE3_DATABASE', ':memory:') app.teardown_appcontext(self.teardown) def connect(self): return sqlite3.connect(current_app.config['SQLITE3_DATABASE']) def teardown(self, exception): ctx = _app_ctx_stack.top if hasattr(ctx, 'sqlite3_db'): ctx.sqlite3_db.close() @property def connection(self): ctx = _app_ctx_stack.top if ctx is not None: if not hasattr(ctx, 'sqlite3_db'): ctx.sqlite3_db = self.connect() return ctx.sqlite3_db
So here’s what these lines of code do:
__init__method takes an optional app object and, if supplied, will call
init_appmethod exists so that the
SQLite3object can be instantiated without requiring an app object. This method supports the factory pattern for creating applications. The
init_appwill set the configuration for the database, defaulting to an in memory database if no configuration is supplied. In addition, the
init_appmethod attaches the
Next, we define a
connectmethod that opens a database connection.
Finally, we add a
connectionproperty that on first access opens the database connection and stores it on the context. This is also the recommended way to handling resources: fetch resources lazily the first time they are used.
Note here that we’re attaching our database connection to the top application context via
_app_ctx_stack.top. Extensions should use the top context for storing their own information with a sufficiently complex name.
So why did we decide on a class-based approach here? Because using our extension looks something like this:
from flask import Flask from flask_sqlite3 import SQLite3 app = Flask(__name__) app.config.from_pyfile('the-config.cfg') db = SQLite3(app)
You can then use the database from views like this:
@app.route('/') def show_all(): cur = db.connection.cursor() cur.execute(...)
Likewise if you are outside of a request you can use the database by pushing an app context:
with app.app_context(): cur = db.connection.cursor() cur.execute(...)
At the end of the
with block the teardown handles will be executed
init_app method is used to support the factory pattern
for creating apps:
db = SQLite3() # Then later on. app = create_app('the-config.cfg') db.init_app(app)
Keep in mind that supporting this factory pattern for creating apps is required for approved flask extensions (described below).
As you noticed,
init_app does not assign
is intentional! Class based Flask extensions must only store the
application on the object when the application was passed to the
constructor. This tells the extension: I am not interested in using
When the extension needs to find the current application and it does
not have a reference to it, it must either use the
current_app context local or change the API in a way
that you can pass the application explicitly.
In the example above, before every request, a
sqlite3_db variable is
_app_ctx_stack.top. In a view function, this variable is
accessible using the
connection property of
SQLite3. During the
teardown of a request, the
sqlite3_db connection is closed. By using
this pattern, the same connection to the sqlite3 database is accessible
to anything that needs it for the duration of the request.
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 PyPI. If you feel lost there is Discord Chat or GitHub Discussions 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 generates useful feedback on what people might want from an extension, but also avoids having multiple developers working in isolation on pretty much the same problem.
The best Flask extensions are extensions that share common idioms for the API. And this can only work if collaboration happens early.
Flask previously had the concept of approved extensions. These came with some vetting of support and compatibility. While this list became too difficult to maintain over time, the guidelines are still relevant to all extensions maintained and developed today, as they help the Flask ecosystem remain consistent and compatible.
An approved Flask extension requires a maintainer. In the event an extension author would like to move beyond the project, the project should find a new maintainer and transfer access to the repository, documentation, PyPI, and any other services. If no maintainer is available, give access to the Pallets core team.
The naming scheme is Flask-ExtensionName or ExtensionName-Flask. It must provide exactly one package or module named
The extension must be BSD or MIT licensed. It must be open source and publicly available.
The extension’s API must have the following characteristics:
It must support multiple applications running in the same Python process. Use
self.app, store configuration and state per application instance.
It must be possible to use the factory pattern for creating applications. Use the
From a clone of the repository, an extension with its dependencies must be installable with
pip install -e ..
It must ship a testing suite that can be invoked with
tox -e pyor
pytest. If not using
tox, the test dependencies should be specified in a
requirements.txtfile. The tests must be part of the sdist distribution.
The documentation must use the
flasktheme from the Official Pallets Themes. A link to the documentation or project website must be in the PyPI metadata or the readme.
For maximum compatibility, the extension should support the same versions of Python that Flask supports. 3.7+ is recommended as of December 2021. Use
setup.pyto indicate supported versions.