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<section id="flask-extension-development">
<h1>Flask Extension Development<a class="headerlink" href="#flask-extension-development" title="Link to this heading"></a></h1>
<p>Extensions are extra packages that add functionality to a Flask
application. While <a class="reference external" href="https://pypi.org/search/?c=Framework+%3A%3A+Flask">PyPI</a> contains many Flask extensions, you may not
find one that fits your need. If this is the case, you can create your
own, and publish it for others to use as well.</p>
<p>This guide will show how to create a Flask extension, and some of the
common patterns and requirements involved. Since extensions can do
anything, this guide wont be able to cover every possibility.</p>
<p>The best ways to learn about extensions are to look at how other
extensions you use are written, and discuss with others. Discuss your
design ideas with others on our <a class="reference external" href="https://discord.gg/pallets">Discord Chat</a> or
<a class="reference external" href="https://github.com/pallets/flask/discussions">GitHub Discussions</a>.</p>
<p>The best extensions share common patterns, so that anyone familiar with
using one extension wont feel completely lost with another. This can
only work if collaboration happens early.</p>
<section id="naming">
<h2>Naming<a class="headerlink" href="#naming" title="Link to this heading"></a></h2>
<p>A Flask extension typically has <code class="docutils literal notranslate"><span class="pre">flask</span></code> in its name as a prefix or
suffix. If it wraps another library, it should include the library name
as well. This makes it easy to search for extensions, and makes their
purpose clearer.</p>
<p>A general Python packaging recommendation is that the install name from
the package index and the name used in <code class="docutils literal notranslate"><span class="pre">import</span></code> statements should be
related. The import name is lowercase, with words separated by
underscores (<code class="docutils literal notranslate"><span class="pre">_</span></code>). The install name is either lower case or title
case, with words separated by dashes (<code class="docutils literal notranslate"><span class="pre">-</span></code>). If it wraps another
library, prefer using the same case as that librarys name.</p>
<p>Here are some example install and import names:</p>
<ul class="simple">
<li><p><code class="docutils literal notranslate"><span class="pre">Flask-Name</span></code> imported as <code class="docutils literal notranslate"><span class="pre">flask_name</span></code></p></li>
<li><p><code class="docutils literal notranslate"><span class="pre">flask-name-lower</span></code> imported as <code class="docutils literal notranslate"><span class="pre">flask_name_lower</span></code></p></li>
<li><p><code class="docutils literal notranslate"><span class="pre">Flask-ComboName</span></code> imported as <code class="docutils literal notranslate"><span class="pre">flask_comboname</span></code></p></li>
<li><p><code class="docutils literal notranslate"><span class="pre">Name-Flask</span></code> imported as <code class="docutils literal notranslate"><span class="pre">name_flask</span></code></p></li>
</ul>
</section>
<section id="the-extension-class-and-initialization">
<h2>The Extension Class and Initialization<a class="headerlink" href="#the-extension-class-and-initialization" title="Link to this heading"></a></h2>
<p>All extensions will need some entry point that initializes the
extension with the application. The most common pattern is to create a
class that represents the extensions configuration and behavior, with
an <code class="docutils literal notranslate"><span class="pre">init_app</span></code> method to apply the extension instance to the given
application instance.</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="k">class</span><span class="w"> </span><span class="nc">HelloExtension</span><span class="p">:</span>
<span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">app</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
<span class="k">if</span> <span class="n">app</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">init_app</span><span class="p">(</span><span class="n">app</span><span class="p">)</span>
<span class="k">def</span><span class="w"> </span><span class="nf">init_app</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">app</span><span class="p">):</span>
<span class="n">app</span><span class="o">.</span><span class="n">before_request</span><span class="p">(</span><span class="o">...</span><span class="p">)</span>
</pre></div>
</div>
<p>It is important that the app is not stored on the extension, dont do
<code class="docutils literal notranslate"><span class="pre">self.app</span> <span class="pre">=</span> <span class="pre">app</span></code>. The only time the extension should have direct
access to an app is during <code class="docutils literal notranslate"><span class="pre">init_app</span></code>, otherwise it should use
<a class="reference internal" href="api.html#flask.current_app" title="flask.current_app"><code class="xref py py-data docutils literal notranslate"><span class="pre">current_app</span></code></a>.</p>
<p>This allows the extension to support the application factory pattern,
avoids circular import issues when importing the extension instance
elsewhere in a users code, and makes testing with different
configurations easier.</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">hello</span> <span class="o">=</span> <span class="n">HelloExtension</span><span class="p">()</span>
<span class="k">def</span><span class="w"> </span><span class="nf">create_app</span><span class="p">():</span>
<span class="n">app</span> <span class="o">=</span> <span class="n">Flask</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
<span class="n">hello</span><span class="o">.</span><span class="n">init_app</span><span class="p">(</span><span class="n">app</span><span class="p">)</span>
<span class="k">return</span> <span class="n">app</span>
</pre></div>
</div>
<p>Above, the <code class="docutils literal notranslate"><span class="pre">hello</span></code> extension instance exists independently of the
application. This means that other modules in a users project can do
<code class="docutils literal notranslate"><span class="pre">from</span> <span class="pre">project</span> <span class="pre">import</span> <span class="pre">hello</span></code> and use the extension in blueprints before
the app exists.</p>
<p>The <a class="reference internal" href="api.html#flask.Flask.extensions" title="flask.Flask.extensions"><code class="xref py py-attr docutils literal notranslate"><span class="pre">Flask.extensions</span></code></a> dict can be used to store a reference to
the extension on the application, or some other state specific to the
application. Be aware that this is a single namespace, so use a name
unique to your extension, such as the extensions name without the
“flask” prefix.</p>
</section>
<section id="adding-behavior">
<h2>Adding Behavior<a class="headerlink" href="#adding-behavior" title="Link to this heading"></a></h2>
<p>There are many ways that an extension can add behavior. Any setup
methods that are available on the <a class="reference internal" href="api.html#flask.Flask" title="flask.Flask"><code class="xref py py-class docutils literal notranslate"><span class="pre">Flask</span></code></a> object can be used
during an extensions <code class="docutils literal notranslate"><span class="pre">init_app</span></code> method.</p>
<p>A common pattern is to use <a class="reference internal" href="api.html#flask.Flask.before_request" title="flask.Flask.before_request"><code class="xref py py-meth docutils literal notranslate"><span class="pre">before_request()</span></code></a> to initialize
some data or a connection at the beginning of each request, then
<a class="reference internal" href="api.html#flask.Flask.teardown_request" title="flask.Flask.teardown_request"><code class="xref py py-meth docutils literal notranslate"><span class="pre">teardown_request()</span></code></a> to clean it up at the end. This can be
stored on <a class="reference internal" href="api.html#flask.g" title="flask.g"><code class="xref py py-data docutils literal notranslate"><span class="pre">g</span></code></a>, discussed more below.</p>
<p>A more lazy approach is to provide a method that initializes and caches
the data or connection. For example, a <code class="docutils literal notranslate"><span class="pre">ext.get_db</span></code> method could
create a database connection the first time its called, so that a view
that doesnt use the database doesnt create a connection.</p>
<p>Besides doing something before and after every view, your extension
might want to add some specific views as well. In this case, you could
define a <a class="reference internal" href="api.html#flask.Blueprint" title="flask.Blueprint"><code class="xref py py-class docutils literal notranslate"><span class="pre">Blueprint</span></code></a>, then call <a class="reference internal" href="api.html#flask.Flask.register_blueprint" title="flask.Flask.register_blueprint"><code class="xref py py-meth docutils literal notranslate"><span class="pre">register_blueprint()</span></code></a>
during <code class="docutils literal notranslate"><span class="pre">init_app</span></code> to add the blueprint to the app.</p>
</section>
<section id="configuration-techniques">
<h2>Configuration Techniques<a class="headerlink" href="#configuration-techniques" title="Link to this heading"></a></h2>
<p>There can be multiple levels and sources of configuration for an
extension. You should consider what parts of your extension fall into
each one.</p>
<ul class="simple">
<li><p>Configuration per application instance, through <code class="docutils literal notranslate"><span class="pre">app.config</span></code>
values. This is configuration that could reasonably change for each
deployment of an application. A common example is a URL to an
external resource, such as a database. Configuration keys should
start with the extensions name so that they dont interfere with
other extensions.</p></li>
<li><p>Configuration per extension instance, through <code class="docutils literal notranslate"><span class="pre">__init__</span></code>
arguments. This configuration usually affects how the extension
is used, such that it wouldnt make sense to change it per
deployment.</p></li>
<li><p>Configuration per extension instance, through instance attributes
and decorator methods. It might be more ergonomic to assign to
<code class="docutils literal notranslate"><span class="pre">ext.value</span></code>, or use a <code class="docutils literal notranslate"><span class="pre">&#64;ext.register</span></code> decorator to register a
function, after the extension instance has been created.</p></li>
<li><p>Global configuration through class attributes. Changing a class
attribute like <code class="docutils literal notranslate"><span class="pre">Ext.connection_class</span></code> can customize default
behavior without making a subclass. This could be combined
per-extension configuration to override defaults.</p></li>
<li><p>Subclassing and overriding methods and attributes. Making the API of
the extension itself something that can be overridden provides a
very powerful tool for advanced customization.</p></li>
</ul>
<p>The <a class="reference internal" href="api.html#flask.Flask" title="flask.Flask"><code class="xref py py-class docutils literal notranslate"><span class="pre">Flask</span></code></a> object itself uses all of these techniques.</p>
<p>Its up to you to decide what configuration is appropriate for your
extension, based on what you need and what you want to support.</p>
<p>Configuration should not be changed after the application setup phase is
complete and the server begins handling requests. Configuration is
global, any changes to it are not guaranteed to be visible to other
workers.</p>
</section>
<section id="data-during-a-request">
<h2>Data During a Request<a class="headerlink" href="#data-during-a-request" title="Link to this heading"></a></h2>
<p>When writing a Flask application, the <a class="reference internal" href="api.html#flask.g" title="flask.g"><code class="xref py py-data docutils literal notranslate"><span class="pre">g</span></code></a> object is used to
store information during a request. For example the
<a class="reference internal" href="tutorial/database.html"><span class="doc">tutorial</span></a> stores a connection to a SQLite
database as <code class="docutils literal notranslate"><span class="pre">g.db</span></code>. Extensions can also use this, with some care.
Since <code class="docutils literal notranslate"><span class="pre">g</span></code> is a single global namespace, extensions must use unique
names that wont collide with user data. For example, use the extension
name as a prefix, or as a namespace.</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="c1"># an internal prefix with the extension name</span>
<span class="n">g</span><span class="o">.</span><span class="n">_hello_user_id</span> <span class="o">=</span> <span class="mi">2</span>
<span class="c1"># or an internal prefix as a namespace</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">types</span><span class="w"> </span><span class="kn">import</span> <span class="n">SimpleNamespace</span>
<span class="n">g</span><span class="o">.</span><span class="n">_hello</span> <span class="o">=</span> <span class="n">SimpleNamespace</span><span class="p">()</span>
<span class="n">g</span><span class="o">.</span><span class="n">_hello</span><span class="o">.</span><span class="n">user_id</span> <span class="o">=</span> <span class="mi">2</span>
</pre></div>
</div>
<p>The data in <code class="docutils literal notranslate"><span class="pre">g</span></code> lasts for an application context. An application
context is active when a request context is, or when a CLI command is
run. If youre storing something that should be closed, use
<a class="reference internal" href="api.html#flask.Flask.teardown_appcontext" title="flask.Flask.teardown_appcontext"><code class="xref py py-meth docutils literal notranslate"><span class="pre">teardown_appcontext()</span></code></a> to ensure that it gets closed
when the application context ends. If it should only be valid during a
request, or would not be used in the CLI outside a request, use
<a class="reference internal" href="api.html#flask.Flask.teardown_request" title="flask.Flask.teardown_request"><code class="xref py py-meth docutils literal notranslate"><span class="pre">teardown_request()</span></code></a>.</p>
</section>
<section id="views-and-models">
<h2>Views and Models<a class="headerlink" href="#views-and-models" title="Link to this heading"></a></h2>
<p>Your extension views might want to interact with specific models in your
database, or some other extension or data connected to your application.
For example, lets consider a <code class="docutils literal notranslate"><span class="pre">Flask-SimpleBlog</span></code> extension that works
with Flask-SQLAlchemy to provide a <code class="docutils literal notranslate"><span class="pre">Post</span></code> model and views to write
and read posts.</p>
<p>The <code class="docutils literal notranslate"><span class="pre">Post</span></code> model needs to subclass the Flask-SQLAlchemy <code class="docutils literal notranslate"><span class="pre">db.Model</span></code>
object, but thats only available once youve created an instance of
that extension, not when your extension is defining its views. So how
can the view code, defined before the model exists, access the model?</p>
<p>One method could be to use <a class="reference internal" href="views.html"><span class="doc">Class-based Views</span></a>. During <code class="docutils literal notranslate"><span class="pre">__init__</span></code>, create
the model, then create the views by passing the model to the view
classs <a class="reference internal" href="api.html#flask.views.View.as_view" title="flask.views.View.as_view"><code class="xref py py-meth docutils literal notranslate"><span class="pre">as_view()</span></code></a> method.</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="k">class</span><span class="w"> </span><span class="nc">PostAPI</span><span class="p">(</span><span class="n">MethodView</span><span class="p">):</span>
<span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">model</span><span class="p">):</span>
<span class="bp">self</span><span class="o">.</span><span class="n">model</span> <span class="o">=</span> <span class="n">model</span>
<span class="k">def</span><span class="w"> </span><span class="nf">get</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="nb">id</span><span class="p">):</span>
<span class="n">post</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">query</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="nb">id</span><span class="p">)</span>
<span class="k">return</span> <span class="n">jsonify</span><span class="p">(</span><span class="n">post</span><span class="o">.</span><span class="n">to_json</span><span class="p">())</span>
<span class="k">class</span><span class="w"> </span><span class="nc">BlogExtension</span><span class="p">:</span>
<span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">db</span><span class="p">):</span>
<span class="k">class</span><span class="w"> </span><span class="nc">Post</span><span class="p">(</span><span class="n">db</span><span class="o">.</span><span class="n">Model</span><span class="p">):</span>
<span class="nb">id</span> <span class="o">=</span> <span class="n">db</span><span class="o">.</span><span class="n">Column</span><span class="p">(</span><span class="n">primary_key</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">title</span> <span class="o">=</span> <span class="n">db</span><span class="o">.</span><span class="n">Column</span><span class="p">(</span><span class="n">db</span><span class="o">.</span><span class="n">String</span><span class="p">,</span> <span class="n">nullable</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">post_model</span> <span class="o">=</span> <span class="n">Post</span>
<span class="k">def</span><span class="w"> </span><span class="nf">init_app</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">app</span><span class="p">):</span>
<span class="n">api_view</span> <span class="o">=</span> <span class="n">PostAPI</span><span class="o">.</span><span class="n">as_view</span><span class="p">(</span><span class="n">model</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">post_model</span><span class="p">)</span>
<span class="n">db</span> <span class="o">=</span> <span class="n">SQLAlchemy</span><span class="p">()</span>
<span class="n">blog</span> <span class="o">=</span> <span class="n">BlogExtension</span><span class="p">(</span><span class="n">db</span><span class="p">)</span>
<span class="n">db</span><span class="o">.</span><span class="n">init_app</span><span class="p">(</span><span class="n">app</span><span class="p">)</span>
<span class="n">blog</span><span class="o">.</span><span class="n">init_app</span><span class="p">(</span><span class="n">app</span><span class="p">)</span>
</pre></div>
</div>
<p>Another technique could be to use an attribute on the extension, such as
<code class="docutils literal notranslate"><span class="pre">self.post_model</span></code> from above. Add the extension to <code class="docutils literal notranslate"><span class="pre">app.extensions</span></code>
in <code class="docutils literal notranslate"><span class="pre">init_app</span></code>, then access
<code class="docutils literal notranslate"><span class="pre">current_app.extensions[&quot;simple_blog&quot;].post_model</span></code> from views.</p>
<p>You may also want to provide base classes so that users can provide
their own <code class="docutils literal notranslate"><span class="pre">Post</span></code> model that conforms to the API your extension
expects. So they could implement <code class="docutils literal notranslate"><span class="pre">class</span> <span class="pre">Post(blog.BasePost)</span></code>, then
set it as <code class="docutils literal notranslate"><span class="pre">blog.post_model</span></code>.</p>
<p>As you can see, this can get a bit complex. Unfortunately, theres no
perfect solution here, only different strategies and tradeoffs depending
on your needs and how much customization you want to offer. Luckily,
this sort of resource dependency is not a common need for most
extensions. Remember, if you need help with design, ask on our
<a class="reference external" href="https://discord.gg/pallets">Discord Chat</a> or <a class="reference external" href="https://github.com/pallets/flask/discussions">GitHub Discussions</a>.</p>
</section>
<section id="recommended-extension-guidelines">
<h2>Recommended Extension Guidelines<a class="headerlink" href="#recommended-extension-guidelines" title="Link to this heading"></a></h2>
<p>Flask previously had the concept of “approved extensions”, where the
Flask maintainers evaluated the quality, support, and compatibility of
the extensions before listing them. While the 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.</p>
<ol class="arabic simple">
<li><p>An 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. The <a class="reference external" href="https://github.com/pallets-eco">Pallets-Eco</a> organization on
GitHub allows for community maintenance with oversight from the
Pallets maintainers.</p></li>
<li><p>The naming scheme is <em>Flask-ExtensionName</em> or <em>ExtensionName-Flask</em>.
It must provide exactly one package or module named
<code class="docutils literal notranslate"><span class="pre">flask_extension_name</span></code>.</p></li>
<li><p>The extension must use an open source license. The Python web
ecosystem tends to prefer BSD or MIT. It must be open source and
publicly available.</p></li>
<li><p>The extensions API must have the following characteristics:</p>
<ul class="simple">
<li><p>It must support multiple applications running in the same Python
process. Use <code class="docutils literal notranslate"><span class="pre">current_app</span></code> instead of <code class="docutils literal notranslate"><span class="pre">self.app</span></code>, store
configuration and state per application instance.</p></li>
<li><p>It must be possible to use the factory pattern for creating
applications. Use the <code class="docutils literal notranslate"><span class="pre">ext.init_app()</span></code> pattern.</p></li>
</ul>
</li>
<li><p>From a clone of the repository, an extension with its dependencies
must be installable in editable mode with <code class="docutils literal notranslate"><span class="pre">pip</span> <span class="pre">install</span> <span class="pre">-e</span> <span class="pre">.</span></code>.</p></li>
<li><p>It must ship tests that can be invoked with a common tool like
<code class="docutils literal notranslate"><span class="pre">tox</span> <span class="pre">-e</span> <span class="pre">py</span></code>, <code class="docutils literal notranslate"><span class="pre">nox</span> <span class="pre">-s</span> <span class="pre">test</span></code> or <code class="docutils literal notranslate"><span class="pre">pytest</span></code>. If not using <code class="docutils literal notranslate"><span class="pre">tox</span></code>,
the test dependencies should be specified in a requirements file.
The tests must be part of the sdist distribution.</p></li>
<li><p>A link to the documentation or project website must be in the PyPI
metadata or the readme. The documentation should use the Flask theme
from the <a class="reference external" href="https://pypi.org/project/Pallets-Sphinx-Themes/">Official Pallets Themes</a>.</p></li>
<li><p>The extensions dependencies should not use upper bounds or assume
any particular version scheme, but should use lower bounds to
indicate minimum compatibility support. For example,
<code class="docutils literal notranslate"><span class="pre">sqlalchemy&gt;=1.4</span></code>.</p></li>
<li><p>Indicate the versions of Python supported using <code class="docutils literal notranslate"><span class="pre">python_requires=&quot;&gt;=version&quot;</span></code>.
Flask itself supports Python &gt;=3.9 as of October 2024, and this will update
over time.</p></li>
</ol>
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<h3>Contents</h3>
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<li><a class="reference internal" href="#">Flask Extension Development</a><ul>
<li><a class="reference internal" href="#naming">Naming</a></li>
<li><a class="reference internal" href="#the-extension-class-and-initialization">The Extension Class and Initialization</a></li>
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