[pre-commit.ci lite] apply automatic fixes

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pre-commit-ci-lite[bot] 2025-04-11 03:04:22 +00:00 committed by GitHub
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102 changed files with 26790 additions and 26749 deletions

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<title>The Application Context &#8212; Flask Documentation (3.2.x)</title>
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<section id="the-application-context">
<h1>The Application Context<a class="headerlink" href="#the-application-context" title="Link to this heading"></a></h1>
<p>The application context keeps track of the application-level data during
a request, CLI command, or other activity. Rather than passing the
application around to each function, the <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> and
<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> proxies are accessed instead.</p>
<p>This is similar to <a class="reference internal" href="reqcontext.html"><span class="doc">The Request Context</span></a>, which keeps track of
request-level data during a request. A corresponding application context
is pushed when a request context is pushed.</p>
<section id="purpose-of-the-context">
<h2>Purpose of the Context<a class="headerlink" href="#purpose-of-the-context" title="Link to this heading"></a></h2>
<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> application object has attributes, such as
<a class="reference internal" href="api.html#flask.Flask.config" title="flask.Flask.config"><code class="xref py py-attr docutils literal notranslate"><span class="pre">config</span></code></a>, that are useful to access within views and
<a class="reference internal" href="cli.html"><span class="doc">CLI commands</span></a>. However, importing the <code class="docutils literal notranslate"><span class="pre">app</span></code> instance
within the modules in your project is prone to circular import issues.
When using the <a class="reference internal" href="patterns/appfactories.html"><span class="doc">app factory pattern</span></a> or
writing reusable <a class="reference internal" href="blueprints.html"><span class="doc">blueprints</span></a> or
<a class="reference internal" href="extensions.html"><span class="doc">extensions</span></a> there wont be an <code class="docutils literal notranslate"><span class="pre">app</span></code> instance to
import at all.</p>
<p>Flask solves this issue with the <em>application context</em>. Rather than
referring to an <code class="docutils literal notranslate"><span class="pre">app</span></code> directly, you use the <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>
proxy, which points to the application handling the current activity.</p>
<p>Flask automatically <em>pushes</em> an application context when handling a
request. View functions, error handlers, and other functions that run
during a request will have access to <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>Flask will also automatically push an app context when running CLI
commands registered with <a class="reference internal" href="api.html#flask.Flask.cli" title="flask.Flask.cli"><code class="xref py py-attr docutils literal notranslate"><span class="pre">Flask.cli</span></code></a> using <code class="docutils literal notranslate"><span class="pre">&#64;app.cli.command()</span></code>.</p>
</section>
<section id="lifetime-of-the-context">
<h2>Lifetime of the Context<a class="headerlink" href="#lifetime-of-the-context" title="Link to this heading"></a></h2>
<p>The application context is created and destroyed as necessary. When a
Flask application begins handling a request, it pushes an application
context and a <a class="reference internal" href="reqcontext.html"><span class="doc">request context</span></a>. When the request
ends it pops the request context then the application context.
Typically, an application context will have the same lifetime as a
request.</p>
<p>See <a class="reference internal" href="reqcontext.html"><span class="doc">The Request Context</span></a> for more information about how the contexts work
and the full life cycle of a request.</p>
</section>
<section id="manually-push-a-context">
<h2>Manually Push a Context<a class="headerlink" href="#manually-push-a-context" title="Link to this heading"></a></h2>
<p>If you try to access <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>, or anything that uses it,
outside an application context, youll get this error message:</p>
<div class="highlight-pytb notranslate"><div class="highlight"><pre><span></span><span class="x">RuntimeError: Working outside of application context.</span>
<span class="x">This typically means that you attempted to use functionality that</span>
<span class="x">needed to interface with the current application object in some way.</span>
<span class="x">To solve this, set up an application context with app.app_context().</span>
</pre></div>
</div>
<p>If you see that error while configuring your application, such as when
initializing an extension, you can push a context manually since you
have direct access to the <code class="docutils literal notranslate"><span class="pre">app</span></code>. Use <a class="reference internal" href="api.html#flask.Flask.app_context" title="flask.Flask.app_context"><code class="xref py py-meth docutils literal notranslate"><span class="pre">app_context()</span></code></a> in a
<code class="docutils literal notranslate"><span class="pre">with</span></code> block, and everything that runs in the block will have access
to <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>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></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="k">with</span> <span class="n">app</span><span class="o">.</span><span class="n">app_context</span><span class="p">():</span>
<span class="n">init_db</span><span class="p">()</span>
<span class="k">return</span> <span class="n">app</span>
</pre></div>
</div>
<p>If you see that error somewhere else in your code not related to
configuring the application, it most likely indicates that you should
move that code into a view function or CLI command.</p>
</section>
<section id="storing-data">
<h2>Storing Data<a class="headerlink" href="#storing-data" title="Link to this heading"></a></h2>
<p>The application context is a good place to store common data during a
request or CLI command. Flask provides 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> <span class="pre">object</span></code></a> for this
purpose. It is a simple namespace object that has the same lifetime as
an application context.</p>
<div class="admonition note">
<p class="admonition-title">Note</p>
<p>The <code class="docutils literal notranslate"><span class="pre">g</span></code> name stands for global, but that is referring to the
data being global <em>within a context</em>. The data on <code class="docutils literal notranslate"><span class="pre">g</span></code> is lost
after the context ends, and it is not an appropriate place to store
data between requests. Use the <a class="reference internal" href="api.html#flask.session" title="flask.session"><code class="xref py py-data docutils literal notranslate"><span class="pre">session</span></code></a> or a database to
store data across requests.</p>
</div>
<p>A common use for <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> is to manage resources during a request.</p>
<ol class="arabic simple">
<li><p><code class="docutils literal notranslate"><span class="pre">get_X()</span></code> creates resource <code class="docutils literal notranslate"><span class="pre">X</span></code> if it does not exist, caching it
as <code class="docutils literal notranslate"><span class="pre">g.X</span></code>.</p></li>
<li><p><code class="docutils literal notranslate"><span class="pre">teardown_X()</span></code> closes or otherwise deallocates the resource if it
exists. It is registered as a <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>
handler.</p></li>
</ol>
<p>For example, you can manage a database connection using this pattern:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">flask</span><span class="w"> </span><span class="kn">import</span> <span class="n">g</span>
<span class="k">def</span><span class="w"> </span><span class="nf">get_db</span><span class="p">():</span>
<span class="k">if</span> <span class="s1">&#39;db&#39;</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">g</span><span class="p">:</span>
<span class="n">g</span><span class="o">.</span><span class="n">db</span> <span class="o">=</span> <span class="n">connect_to_database</span><span class="p">()</span>
<span class="k">return</span> <span class="n">g</span><span class="o">.</span><span class="n">db</span>
<span class="nd">@app</span><span class="o">.</span><span class="n">teardown_appcontext</span>
<span class="k">def</span><span class="w"> </span><span class="nf">teardown_db</span><span class="p">(</span><span class="n">exception</span><span class="p">):</span>
<span class="n">db</span> <span class="o">=</span> <span class="n">g</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">&#39;db&#39;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
<span class="k">if</span> <span class="n">db</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="n">db</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>
</pre></div>
</div>
<p>During a request, every call to <code class="docutils literal notranslate"><span class="pre">get_db()</span></code> will return the same
connection, and it will be closed automatically at the end of the
request.</p>
<p>You can use <a class="reference external" href="https://werkzeug.palletsprojects.com/en/stable/local/#werkzeug.local.LocalProxy" title="(in Werkzeug v3.1.x)"><code class="xref py py-class docutils literal notranslate"><span class="pre">LocalProxy</span></code></a> to make a new context
local from <code class="docutils literal notranslate"><span class="pre">get_db()</span></code>:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">werkzeug.local</span><span class="w"> </span><span class="kn">import</span> <span class="n">LocalProxy</span>
<span class="n">db</span> <span class="o">=</span> <span class="n">LocalProxy</span><span class="p">(</span><span class="n">get_db</span><span class="p">)</span>
</pre></div>
</div>
<p>Accessing <code class="docutils literal notranslate"><span class="pre">db</span></code> will call <code class="docutils literal notranslate"><span class="pre">get_db</span></code> internally, in the same way that
<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> works.</p>
</section>
<section id="events-and-signals">
<h2>Events and Signals<a class="headerlink" href="#events-and-signals" title="Link to this heading"></a></h2>
<p>The application will call functions registered with <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>
when the application context is popped.</p>
<p>The following signals are sent: <a class="reference internal" href="api.html#flask.appcontext_pushed" title="flask.appcontext_pushed"><code class="xref py py-data docutils literal notranslate"><span class="pre">appcontext_pushed</span></code></a>,
<a class="reference internal" href="api.html#flask.appcontext_tearing_down" title="flask.appcontext_tearing_down"><code class="xref py py-data docutils literal notranslate"><span class="pre">appcontext_tearing_down</span></code></a>, and <a class="reference internal" href="api.html#flask.appcontext_popped" title="flask.appcontext_popped"><code class="xref py py-data docutils literal notranslate"><span class="pre">appcontext_popped</span></code></a>.</p>
</section>
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/**
* Porter Stemmer
*/
var Stemmer = function() {
var step2list = {
ational: 'ate',
tional: 'tion',
enci: 'ence',
anci: 'ance',
izer: 'ize',
bli: 'ble',
alli: 'al',
entli: 'ent',
eli: 'e',
ousli: 'ous',
ization: 'ize',
ation: 'ate',
ator: 'ate',
alism: 'al',
iveness: 'ive',
fulness: 'ful',
ousness: 'ous',
aliti: 'al',
iviti: 'ive',
biliti: 'ble',
logi: 'log'
};
<p class="logo"><a href="index.html">
<img class="logo" src="_static/flask-vertical.png" alt="Logo of Flask"/>
</a></p>
var step3list = {
icate: 'ic',
ative: '',
alize: 'al',
iciti: 'ic',
ical: 'ic',
ful: '',
ness: ''
};
var c = "[^aeiou]"; // consonant
var v = "[aeiouy]"; // vowel
var C = c + "[^aeiouy]*"; // consonant sequence
var V = v + "[aeiou]*"; // vowel sequence
var mgr0 = "^(" + C + ")?" + V + C; // [C]VC... is m>0
var meq1 = "^(" + C + ")?" + V + C + "(" + V + ")?$"; // [C]VC[V] is m=1
var mgr1 = "^(" + C + ")?" + V + C + V + C; // [C]VCVC... is m>1
var s_v = "^(" + C + ")?" + v; // vowel in stem
this.stemWord = function (w) {
var stem;
var suffix;
var firstch;
var origword = w;
if (w.length < 3)
return w;
var re;
var re2;
var re3;
var re4;
firstch = w.substr(0,1);
if (firstch == "y")
w = firstch.toUpperCase() + w.substr(1);
// Step 1a
re = /^(.+?)(ss|i)es$/;
re2 = /^(.+?)([^s])s$/;
if (re.test(w))
w = w.replace(re,"$1$2");
else if (re2.test(w))
w = w.replace(re2,"$1$2");
// Step 1b
re = /^(.+?)eed$/;
re2 = /^(.+?)(ed|ing)$/;
if (re.test(w)) {
var fp = re.exec(w);
re = new RegExp(mgr0);
if (re.test(fp[1])) {
re = /.$/;
w = w.replace(re,"");
}
}
else if (re2.test(w)) {
var fp = re2.exec(w);
stem = fp[1];
re2 = new RegExp(s_v);
if (re2.test(stem)) {
w = stem;
re2 = /(at|bl|iz)$/;
re3 = new RegExp("([^aeiouylsz])\\1$");
re4 = new RegExp("^" + C + v + "[^aeiouwxy]$");
if (re2.test(w))
w = w + "e";
else if (re3.test(w)) {
re = /.$/;
w = w.replace(re,"");
}
else if (re4.test(w))
w = w + "e";
}
}
// Step 1c
re = /^(.+?)y$/;
if (re.test(w)) {
var fp = re.exec(w);
stem = fp[1];
re = new RegExp(s_v);
if (re.test(stem))
w = stem + "i";
}
// Step 2
re = /^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/;
if (re.test(w)) {
var fp = re.exec(w);
stem = fp[1];
suffix = fp[2];
re = new RegExp(mgr0);
if (re.test(stem))
w = stem + step2list[suffix];
}
// Step 3
re = /^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/;
if (re.test(w)) {
var fp = re.exec(w);
stem = fp[1];
suffix = fp[2];
re = new RegExp(mgr0);
if (re.test(stem))
w = stem + step3list[suffix];
}
// Step 4
re = /^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/;
re2 = /^(.+?)(s|t)(ion)$/;
if (re.test(w)) {
var fp = re.exec(w);
stem = fp[1];
re = new RegExp(mgr1);
if (re.test(stem))
w = stem;
}
else if (re2.test(w)) {
var fp = re2.exec(w);
stem = fp[1] + fp[2];
re2 = new RegExp(mgr1);
if (re2.test(stem))
w = stem;
}
// Step 5
re = /^(.+?)e$/;
if (re.test(w)) {
var fp = re.exec(w);
stem = fp[1];
re = new RegExp(mgr1);
re2 = new RegExp(meq1);
re3 = new RegExp("^" + C + v + "[^aeiouwxy]$");
if (re.test(stem) || (re2.test(stem) && !(re3.test(stem))))
w = stem;
}
re = /ll$/;
re2 = new RegExp(mgr1);
if (re.test(w) && re2.test(w)) {
re = /.$/;
w = w.replace(re,"");
}
// and turn initial Y back to y
if (firstch == "y")
w = firstch.toLowerCase() + w.substr(1);
return w;
}
}
<h3>Contents</h3>
<ul>
<li><a class="reference internal" href="#">The Application Context</a><ul>
<li><a class="reference internal" href="#purpose-of-the-context">Purpose of the Context</a></li>
<li><a class="reference internal" href="#lifetime-of-the-context">Lifetime of the Context</a></li>
<li><a class="reference internal" href="#manually-push-a-context">Manually Push a Context</a></li>
<li><a class="reference internal" href="#storing-data">Storing Data</a></li>
<li><a class="reference internal" href="#events-and-signals">Events and Signals</a></li>
</ul>
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</ul>
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<li><a href="index.html">Overview</a>
<ul>
<li>Previous: <a href="lifecycle.html" title="previous chapter">Application Structure and Lifecycle</a>
<li>Next: <a href="reqcontext.html" title="next chapter">The Request Context</a>
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<li class="nav-item nav-item-this"><a href="">Using <code class="docutils literal notranslate"><span class="pre">async</span></code> and <code class="docutils literal notranslate"><span class="pre">await</span></code></a></li>
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<section id="using-async-and-await">
<span id="async-await"></span><h1>Using <code class="docutils literal notranslate"><span class="pre">async</span></code> and <code class="docutils literal notranslate"><span class="pre">await</span></code><a class="headerlink" href="#using-async-and-await" title="Link to this heading"></a></h1>
<details class="changelog">
<summary>Changelog</summary><div class="versionadded">
<p><span class="versionmodified added">Added in version 2.0.</span></p>
</div>
</details><p>Routes, error handlers, before request, after request, and teardown
functions can all be coroutine functions if Flask is installed with the
<code class="docutils literal notranslate"><span class="pre">async</span></code> extra (<code class="docutils literal notranslate"><span class="pre">pip</span> <span class="pre">install</span> <span class="pre">flask[async]</span></code>). This allows views to be
defined with <code class="docutils literal notranslate"><span class="pre">async</span> <span class="pre">def</span></code> and use <code class="docutils literal notranslate"><span class="pre">await</span></code>.</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="nd">@app</span><span class="o">.</span><span class="n">route</span><span class="p">(</span><span class="s2">&quot;/get-data&quot;</span><span class="p">)</span>
<span class="k">async</span> <span class="k">def</span><span class="w"> </span><span class="nf">get_data</span><span class="p">():</span>
<span class="n">data</span> <span class="o">=</span> <span class="k">await</span> <span class="n">async_db_query</span><span class="p">(</span><span class="o">...</span><span class="p">)</span>
<span class="k">return</span> <span class="n">jsonify</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
</pre></div>
</div>
<p>Pluggable class-based views also support handlers that are implemented as
coroutines. This applies to the <a class="reference internal" href="api.html#flask.views.View.dispatch_request" title="flask.views.View.dispatch_request"><code class="xref py py-meth docutils literal notranslate"><span class="pre">dispatch_request()</span></code></a>
method in views that inherit from the <a class="reference internal" href="api.html#flask.views.View" title="flask.views.View"><code class="xref py py-class docutils literal notranslate"><span class="pre">flask.views.View</span></code></a> class, as
well as all the HTTP method handlers in views that inherit from the
<a class="reference internal" href="api.html#flask.views.MethodView" title="flask.views.MethodView"><code class="xref py py-class docutils literal notranslate"><span class="pre">flask.views.MethodView</span></code></a> class.</p>
<div class="admonition-using-async-with-greenlet admonition">
<p class="admonition-title">Using <code class="docutils literal notranslate"><span class="pre">async</span></code> with greenlet</p>
<p>When using gevent or eventlet to serve an application or patch the
runtime, greenlet&gt;=1.0 is required. When using PyPy, PyPy&gt;=7.3.7 is
required.</p>
</div>
<section id="performance">
<h2>Performance<a class="headerlink" href="#performance" title="Link to this heading"></a></h2>
<p>Async functions require an event loop to run. Flask, as a WSGI
application, uses one worker to handle one request/response cycle.
When a request comes in to an async view, Flask will start an event loop
in a thread, run the view function there, then return the result.</p>
<p>Each request still ties up one worker, even for async views. The upside
is that you can run async code within a view, for example to make
multiple concurrent database queries, HTTP requests to an external API,
etc. However, the number of requests your application can handle at one
time will remain the same.</p>
<p><strong>Async is not inherently faster than sync code.</strong> Async is beneficial
when performing concurrent IO-bound tasks, but will probably not improve
CPU-bound tasks. Traditional Flask views will still be appropriate for
most use cases, but Flasks async support enables writing and using
code that wasnt possible natively before.</p>
</section>
<section id="background-tasks">
<h2>Background tasks<a class="headerlink" href="#background-tasks" title="Link to this heading"></a></h2>
<p>Async functions will run in an event loop until they complete, at
which stage the event loop will stop. This means any additional
spawned tasks that havent completed when the async function completes
will be cancelled. Therefore you cannot spawn background tasks, for
example via <code class="docutils literal notranslate"><span class="pre">asyncio.create_task</span></code>.</p>
<p>If you wish to use background tasks it is best to use a task queue to
trigger background work, rather than spawn tasks in a view
function. With that in mind you can spawn asyncio tasks by serving
Flask with an ASGI server and utilising the asgiref WsgiToAsgi adapter
as described in <a class="reference internal" href="deploying/asgi.html"><span class="doc">ASGI</span></a>. This works as the adapter creates
an event loop that runs continually.</p>
</section>
<section id="when-to-use-quart-instead">
<h2>When to use Quart instead<a class="headerlink" href="#when-to-use-quart-instead" title="Link to this heading"></a></h2>
<p>Flasks async support is less performant than async-first frameworks due
to the way it is implemented. If you have a mainly async codebase it
would make sense to consider <a class="reference external" href="https://github.com/pallets/quart">Quart</a>. Quart is a reimplementation of
Flask based on the <a class="reference external" href="https://asgi.readthedocs.io/en/latest/">ASGI</a> standard instead of WSGI. This allows it to
handle many concurrent requests, long running requests, and websockets
without requiring multiple worker processes or threads.</p>
<p>It has also already been possible to run Flask with Gevent or Eventlet
to get many of the benefits of async request handling. These libraries
patch low-level Python functions to accomplish this, whereas <code class="docutils literal notranslate"><span class="pre">async</span></code>/
<code class="docutils literal notranslate"><span class="pre">await</span></code> and ASGI use standard, modern Python capabilities. Deciding
whether you should use Flask, Quart, or something else is ultimately up
to understanding the specific needs of your project.</p>
</section>
<section id="extensions">
<h2>Extensions<a class="headerlink" href="#extensions" title="Link to this heading"></a></h2>
<p>Flask extensions predating Flasks async support do not expect async views.
If they provide decorators to add functionality to views, those will probably
not work with async views because they will not await the function or be
awaitable. Other functions they provide will not be awaitable either and
will probably be blocking if called within an async view.</p>
<p>Extension authors can support async functions by utilising the
<a class="reference internal" href="api.html#flask.Flask.ensure_sync" title="flask.Flask.ensure_sync"><code class="xref py py-meth docutils literal notranslate"><span class="pre">flask.Flask.ensure_sync()</span></code></a> method. For example, if the extension
provides a view function decorator add <code class="docutils literal notranslate"><span class="pre">ensure_sync</span></code> before calling
the decorated function,</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="k">def</span><span class="w"> </span><span class="nf">extension</span><span class="p">(</span><span class="n">func</span><span class="p">):</span>
<span class="nd">@wraps</span><span class="p">(</span><span class="n">func</span><span class="p">)</span>
<span class="k">def</span><span class="w"> </span><span class="nf">wrapper</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
<span class="o">...</span> <span class="c1"># Extension logic</span>
<span class="k">return</span> <span class="n">current_app</span><span class="o">.</span><span class="n">ensure_sync</span><span class="p">(</span><span class="n">func</span><span class="p">)(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
<span class="k">return</span> <span class="n">wrapper</span>
</pre></div>
</div>
<p>Check the changelog of the extension you want to use to see if theyve
implemented async support, or make a feature request or PR to them.</p>
</section>
<section id="other-event-loops">
<h2>Other event loops<a class="headerlink" href="#other-event-loops" title="Link to this heading"></a></h2>
<p>At the moment Flask only supports <a class="reference external" href="https://docs.python.org/3/library/asyncio.html#module-asyncio" title="(in Python v3.13)"><code class="xref py py-mod docutils literal notranslate"><span class="pre">asyncio</span></code></a>. Its possible to
override <a class="reference internal" href="api.html#flask.Flask.ensure_sync" title="flask.Flask.ensure_sync"><code class="xref py py-meth docutils literal notranslate"><span class="pre">flask.Flask.ensure_sync()</span></code></a> to change how async functions
are wrapped to use a different library.</p>
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<h3>Contents</h3>
<ul>
<li><a class="reference internal" href="#">Using <code class="docutils literal notranslate"><span class="pre">async</span></code> and <code class="docutils literal notranslate"><span class="pre">await</span></code></a><ul>
<li><a class="reference internal" href="#performance">Performance</a></li>
<li><a class="reference internal" href="#background-tasks">Background tasks</a></li>
<li><a class="reference internal" href="#when-to-use-quart-instead">When to use Quart instead</a></li>
<li><a class="reference internal" href="#extensions">Extensions</a></li>
<li><a class="reference internal" href="#other-event-loops">Other event loops</a></li>
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