This can be very useful for setting up **resources** that you need to use for the whole app, and that are **shared** among requests, and/or that you need to **clean up** afterwards. For example, a database connection pool, or loading a shared machine learning model.

## Use Case { #use-case }

Let's start with an example **use case** and then see how to solve it with this.

Lets start the lambda handler.

```
python lambda_handler.py
 * Serving Flask app 'webhook'
 * Debug mode: off
WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
 * Running on http://127.0.0.1:5000
Press CTRL+C to quit
```

## Start MinIO with Lambda target

3. **Actively collaborate...

   *
   * <p><b>Warning:</b> This method will produce different output than most other languages do when
   * running on the equivalent input. For cross-language compatibility, use {@link #putString},
   * usually with a charset of UTF-8. For other use cases, use {@code putUnencodedChars}.
   *
   * @since 15.0 (since 11.0 as putString(CharSequence))
   */
  @CanIgnoreReturnValue

# Response Cookies { #response-cookies }

## Use a `Response` parameter { #use-a-response-parameter }

You can declare a parameter of type `Response` in your *path operation function*.

And then you can set cookies in that *temporal* response object.

{* ../../docs_src/response_cookies/tutorial002_py310.py hl[1, 8:9] *}

And then you can return any object you need, as you normally would (a `dict`, a database model, etc).

    /**
     * Sets this request's method to `QUERY`.
     *
     * By default, `QUERY` requests are not cached. You can use [cacheUrlOverride] to specify
     * how to cache them.
     *
     * A typical use case is to hash the request body:
     *
     * ```kotlin
     *     val hash = body.sha256().hex()
     *     val query = Request
     *         .Builder()

### Using your local FastAPI

If you create a Python file that imports and uses FastAPI, and run it with the Python from your local environment, it will use your cloned local FastAPI source code.

And if you update that local FastAPI source code when you run that Python file again, it will use the fresh version of FastAPI you just edited.

That way, you don't have to "install" your local version to be able to test every change.

Par exemple, en étendant le modèle précédent, vous pourriez décider d'avoir une autre clé `importance` dans le même corps de la requête, en plus de `item` et `user`.

Si vous le déclarez tel quel, comme c'est une valeur singulière, **FastAPI** supposera qu'il s'agit d'un paramètre de requête.

Mais vous pouvez indiquer à **FastAPI** de la traiter comme une autre clé du corps de la requête en utilisant `Body` :

 * try (Response response = call.execute()) {
 * ... // Use the response.
 * }
 * ```
 *
 * You can use a similar block for asynchronous calls:
 *
 * ```java
 * Call call = client.newCall(request);
 * call.enqueue(new Callback() {
 *   public void onResponse(Call call, Response response) throws IOException {
 *     try (ResponseBody responseBody = response.body()) {
 *     ... // Use the response.
 *     }
 *   }
 *

    server.enqueue(socketHandler.upgradeResponse())

    client
      .newCall(request)
      .execute()
      .use { response ->
        assertThat(response.code).isEqualTo(HTTP_SWITCHING_PROTOCOLS)
        val socket = response.socket!!
        socket.sink.buffer().use { sink ->
          socket.source.buffer().use { source ->
            sink.writeUtf8("client says hello\n")
            sink.flush()