Para excluir una *path operation* del esquema OpenAPI generado (y por lo tanto, de los sistemas de documentación automática), utiliza el parámetro `include_in_schema` y configúralo en `False`:

{* ../../docs_src/path_operation_advanced_configuration/tutorial003_py310.py hl[6] *}

## Descripción avanzada desde el docstring { #advanced-description-from-docstring }

# Input ve Output için Ayrı OpenAPI Schema'ları (Ya da Değil) { #separate-openapi-schemas-for-input-and-output-or-not }

**Pydantic v2** yayınlandığından beri, üretilen OpenAPI eskisine göre biraz daha net ve **doğru**. 😎

Hatta bazı durumlarda, aynı Pydantic model için OpenAPI içinde input ve output tarafında, **default değerler** olup olmamasına bağlı olarak **iki farklı JSON Schema** bile görebilirsiniz.

Digamos que el archivo dedicado solo a manejar usuarios es el submódulo en `/app/routers/users.py`.

Quieres tener las *path operations* relacionadas con tus usuarios separadas del resto del código, para mantenerlo organizado.

Pero todavía es parte de la misma aplicación/web API de **FastAPI** (es parte del mismo "paquete de Python").

Puedes crear las *path operations* para ese módulo usando `APIRouter`.

### Importar `APIRouter` { #import-apirouter }

    public Artifact find(Artifact artifact) {
        File artifactFile = new File(localRepository.getBasedir(), pathOf(artifact));

        // We need to set the file here or the resolver will fail with an NPE, not fully equipped to deal
        // with multiple local repository implementations yet.
        artifact.setFile(artifactFile);

        return artifact;
    }

    @Override
    public String getId() {

// formatMetaV1 should be inherited by backend format structs. Please look at format-fs.go
// and format-xl.go for details.

// Ideally we will never have a situation where we will have to change the
// fields of this struct and deal with related migration.
type formatMetaV1 struct {
	// Version of the format config.
	Version string `json:"version"`
	// Format indicates the backend format type, supports two values 'xl' and 'fs'.

Si no se especifica y la dependencia tiene `yield`, tendrá un `scope` de `"request"` por defecto.

### `scope` para sub-dependencias { #scope-for-sub-dependencies }

## Headers duplicados { #duplicate-headers }

Es posible recibir headers duplicados. Eso significa, el mismo header con múltiples valores.

Puedes definir esos casos usando una lista en la declaración del tipo.

Recibirás todos los valores del header duplicado como una `list` de Python.

Por ejemplo, para declarar un header de `X-Token` que puede aparecer más de una vez, puedes escribir:

<div class="screenshot">
<img src="/img/tutorial/query-param-models/image01.png">
</div>

## Ek Query Parameter'ları Yasaklayın { #forbid-extra-query-parameters }

Bazı özel kullanım senaryolarında (muhtemelen çok yaygın değil), almak istediğiniz query parameter’ları **kısıtlamak** isteyebilirsiniz.

Pydantic’in model konfigürasyonunu kullanarak `extra` field’ları `forbid` edebilirsiniz:

The MIT License (MIT)

Copyright (c) 2014 Leonardo Menezes

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is

except (ImportError, AttributeError):
  pass

del importlib

# Delete modules that should be hidden from dir().
# Don't fail if these modules are not available.
# For e.g. this file will be originally placed under tensorflow/_api/v1 which
# does not have "python", "core" directories. Then, it will be copied
# to tensorflow/ which does have these two directories.
try:
  del python
except NameError:
  pass
try: