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Si vous le déclarez tel quel, comme c'est une valeur [scalaire](https://docs.github.com/fr/graphql/reference/scalars), **FastAPI** supposera qu'il s'agit d'un paramètre de requête (`Query`).

Mais vous pouvez indiquer à **FastAPI** de la traiter comme une variable de body en utilisant `Body` :

{* ../../docs_src/body_multiple_params/tutorial003_an_py310.py hl[23] *}

import org.apache.maven.api.annotations.Nullable;
import org.apache.maven.api.cli.Logger;

import static java.util.Objects.requireNonNull;

/**
 * System {@link Logger}. Uses provided {@link PrintStream}s or {@link System#err} ones as fallback.
 * This logger is used in case of "early failures" (when no logging may be set up yet).
 */
public class SystemLogger implements Logger {
    private final PrintWriter out;

    Extension descriptor, stored in <code>META-INF/maven/extension.xml</code> in an extension's jar artifact to
    precisely control parts of the extension and dependencies to expose in the API class loader.
    Maven uses Plexus Classworlds to build the class loader hierarchy, therefore some concepts used in this extensions
    stem from Plexus Classworlds originally.

# Tutorial - User Guide { #tutorial-user-guide }

This tutorial shows you how to use **FastAPI** with most of its features, step by step.

Each section gradually builds on the previous ones, but it's structured to separate topics, so that you can go directly to any specific one to solve your specific API needs.

It is also built to work as a future reference so you can come back and see exactly what you need.

## Run the code { #run-the-code }

**FastAPI** will keep the additional information from `responses`, and combine it with the JSON Schema from your model.

For example, you can declare a response with a status code `404` that uses a Pydantic model and has a custom `description`.

And a response with a status code `200` that uses your `response_model`, but includes a custom `example`:

{* ../../docs_src/additional_responses/tutorial003_py39.py hl[20:31] *}

are working with. When loading untrusted checkpoints, the values of the traced
variables from your model are also going to be untrusted. That means that if
your code interacts with the filesystem, network, etc. and uses checkpointed
variables as part of those interactions (ex: using a string variable to build a
filesystem path), a maliciously created checkpoint might be able to change the
targets of those operations, which could result in arbitrary

# Advanced Security { #advanced-security }

## Additional Features { #additional-features }

There are some extra features to handle security apart from the ones covered in the [Tutorial - User Guide: Security](../../tutorial/security/index.md){.internal-link target=_blank}.

/// tip

The next sections are **not necessarily "advanced"**.

And it's possible that for your use case, the solution is in one of them.

///

        #    e.g. Synonym of Oracle --> list:{TABLE ; VIEW ; SYNONYM}
        #  This is only for the main schema. Additional schemas are unconcerned.
        #  However ReplaceSchema and Sql2Entity task also uses this.
        #  But you can set ReplaceSchema-original setting in its own dfprop.
        #
        #; objectTypeTargetList = list:{TABLE ; VIEW}

        # o tableExceptList: (NotRequired - Default list:{})

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