Si abres la documentación automática de la API, tu extensión aparecerá en la parte inferior de la *path operation* específica.

<img src="/img/tutorial/path-operation-advanced-configuration/image01.png">

Y si ves el OpenAPI resultante (en `/openapi.json` en tu API), verás tu extensión como parte de la *path operation* específica también:

```JSON hl_lines="22"
{
    "openapi": "3.1.0",

package org.apache.maven.cling.logging;

import org.apache.maven.logging.ProjectBuildLogAppender;
import org.codehaus.plexus.logging.Logger;

/**
 * Adapt an SLF4J logger to a Plexus logger, ignoring Plexus logger API parts that are not classical and
 * probably not really used.
 *
 * @since 3.1.0
 */
public class Slf4jLogger implements Logger {

    private final org.slf4j.Logger logger;
    private final String projectId;

	AmzFwdHeaderObjectLockRetainUntil = "x-amz-fwd-header-x-amz-object-lock-retain-until-date"
	AmzFwdHeaderMPPartsCount          = "x-amz-fwd-header-x-amz-mp-parts-count"
	AmzFwdHeaderReplicationStatus     = "x-amz-fwd-header-x-amz-replication-status"
	AmzFwdHeaderSSE                   = "x-amz-fwd-header-x-amz-server-side-encryption"

specifically granted under this License.  You may not convey a covered
work if you are a party to an arrangement with a third party that is
in the business of distributing software, under which you make payment
to the third party based on the extent of your activity of conveying
the work, and under which the third party grants, to any of the
parties who would receive the covered work from you, a discriminatory

### The callback path expression { #the-callback-path-expression }

The callback *path* can have an <a href="https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.1.0.md#key-expression" class="external-link" target="_blank">OpenAPI 3 expression</a> that can contain parts of the original request sent to *your API*.

COPY ./app /app/app
```

### Raspberry Pi et autres architectures

Si vous utilisez Docker sur un Raspberry Pi (qui a un processeur ARM) ou toute autre architecture, vous pouvez créer un `Dockerfile` à partir de zéro, basé sur une image de base Python (qui est multi-architecture) et utiliser Uvicorn seul.

Dans ce cas, votre `Dockerfile` pourrait ressembler à ceci :

```Dockerfile
FROM python:3.7

    }

    /**
     * Masks sensitive values in a string for security purposes.
     *
     * @param value the string potentially containing sensitive information
     * @return the string with sensitive parts masked, or the original string if masking is disabled
     */
    public static String maskSecretValue(final String value) {
        if (MASK_SECRET_VALUE && value != null) {

	ESSSupported ESSupportStatus = "ESSSupported"
)

func getESVersionSupportStatus(version string) (res ESSupportStatus, err error) {
	parts := strings.Split(version, ".")
	if len(parts) < 1 {
		err = fmt.Errorf("bad ES version string: %s", version)
		return res, err
	}

	majorVersion, err := strconv.Atoi(parts[0])
	if err != nil {
		err = fmt.Errorf("bad ES version string: %s", version)
		return res, err
	}

	switch {

Dans ce cadre, j'ai dû étudier, tester et utiliser de nombreuses alternatives.

L'histoire de **FastAPI** est en grande partie l'histoire de ses prédécesseurs.

Comme dit dans la section [Alternatives](alternatives.md){.internal-link target=\_blank} :

<blockquote markdown="1">

**FastAPI** n'existerait pas sans le travail antérieur d'autres personnes.

///

## Returning a custom `Response` { #returning-a-custom-response }

The example above shows all the parts you need, but it's not very useful yet, as you could have just returned the `item` directly, and **FastAPI** would put it in a `JSONResponse` for you, converting it to a `dict`, etc. All that by default.