Hier sind mehrere Möglichkeiten, das zu tun.

## Zusätzliche JSON-Schemadaten in Pydantic-Modellen

Sie können `examples` („Beispiele“) für ein Pydantic-Modell deklarieren, welche dem generierten JSON-Schema hinzugefügt werden.

//// tab | Python 3.10+ Pydantic v2

```Python hl_lines="13-24"
{!> ../../docs_src/schema_extra_example/tutorial001_py310.py!}
```

////

 */
package org.apache.maven.model.composition;

import java.util.List;

import org.apache.maven.api.model.DependencyManagement;
import org.apache.maven.api.model.Model;
import org.apache.maven.model.building.ModelBuildingRequest;
import org.apache.maven.model.building.ModelProblemCollector;

/**
 * Handles the import of dependency management from other models into the target model.
 *

# evolutionplugin=disabled

# Ebean configuration
# ~~~~~
# You can declare as many Ebean servers as you want.
# By convention, the default server is named `default`
#
# ebean.default="models.*"

# Logger
# ~~~~~
# You can also configure logback (http://logback.qos.ch/),
# by providing an application-logger.xml file in the conf directory.

# Root logger:
logger.root=ERROR

# a service account that has the right permissions to be able to do so.
set +x
if [[ -n "${GOOGLE_APPLICATION_CREDENTIALS:-}" ]]; then
  # Python 3.12 removed the module `imp` which is needed by gcloud CLI so we set
  # `CLOUDSDK_PYTHON` to Python 3.11 which is the system Python on TFCI Mac
  # VMs.
  export CLOUDSDK_PYTHON=$(which python3.11)

Using this same trick, you could use a Pydantic model to define the JSON Schema that is then included in the custom OpenAPI schema section for the *path operation*.

And you could do this even if the data type in the request is not JSON.

Fakat sonrasında yine mikro sözdizimi problemiyle karşılaşıyoruz. Python metinlerinin içinde koskoca bir YAML oluyor.

Editör bu konuda pek yardımcı olamaz. Üstelik eğer parametreleri ya da Marshmallow şemalarını değiştirip YAML kodunu güncellemeyi unutursak artık döküman geçerliliğini yitiriyor.

/// info | "Bilgi"

APISpec de aynı Marshmallow geliştiricileri tarafından oluşturuldu.

///

/// check | "**FastAPI**'a nasıl ilham verdi?"

constraints.Email.message = {item} は正しいメールアドレスではありません。
constraints.Length.message = {item} の長さは {min} から {max} の範囲にしてください。
constraints.LuhnCheck.message = {value} の Luhn Modulo 11 チェックサムが正しくありません。
constraints.Mod10Check.message = {value} の Modulo 10 チェックサムが正しくありません。
constraints.Mod11Check.message = {value} の Modulo 11 チェックサムが正しくありません。
constraints.ModCheck.message = {value} の {modType} チェックサムが正しくありません。
constraints.NotBlank.message = {item} は未入力です。

You could load it at the top level of the module/file, but that would also mean that it would **load the model** even if you are just running a simple automated test, then that test would be **slow** because it would have to wait for the model to load before being able to run an independent part of the code.

<img src="/img/tutorial/security/image12.png">

## Check the username

Here's a more complete example.

Use a dependency to check if the username and password are correct.

For this, use the Python standard module <a href="https://docs.python.org/3/library/secrets.html" class="external-link" target="_blank">`secrets`</a> to check the username and password.

from datetime import date

from pydantic import BaseModel

# Déclare une variable comme étant une str
# et profitez de l'aide de votre IDE dans cette fonction
def main(user_id: str):
    return user_id


# Un modèle Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date
```
Qui peuvent ensuite être utilisés comme cela:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")