| `license_info`...

# Copyright (c) 2016-2023 Martin Donath <******@****.***>

# 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

Die gleichen Prozesse, die für Pfad-Parameter stattfinden, werden auch auf Query-Parameter angewendet:

* Editor Unterstützung (natürlich)
* <abbr title="Konvertieren des Strings, der von einer HTTP-Anfrage kommt, in Python-Daten">„Parsen“</abbr> der Daten
* Datenvalidierung
* Automatische Dokumentation

## Defaultwerte

Da Query-Parameter nicht ein festgelegter Teil des Pfades sind, können sie optional sein und Defaultwerte haben.

from .utils import needs_pydanticv1, needs_pydanticv2


class Person:
    def __init__(self, name: str):
        self.name = name


class Pet:
    def __init__(self, owner: Person, name: str):
        self.owner = owner
        self.name = name


@dataclass
class Item:
    name: str
    count: int


class DictablePerson(Person):
    def __iter__(self):

    app = FastAPI()

    @app.post("/people/", response_model=PersonRead)
    def create_person(person: PersonCreate) -> Any:
        db_person = Person.model_validate(person)
        return db_person

    client = TestClient(app)

    person_data = {"name": "Dive", "lastname": "Wilson"}
    response = client.post("/people/", json=person_data)
    data = response.json()
    assert response.status_code == 200, response.text

### Tip olarak Sınıflar

Bir değişkenin tipini bir sınıf ile bildirebilirsiniz.

Diyelim ki  `name` değerine sahip `Person` sınıfınız var:

```Python hl_lines="1-3"
{!../../../docs_src/python_types/tutorial010.py!}
```

Sonra bir değişkeni 'Person' tipinde tanımlayabilirsiniz:

```Python hl_lines="6"
{!../../../docs_src/python_types/tutorial010.py!}
```

### Clases como tipos

También puedes declarar una clase como el tipo de una variable.

Digamos que tienes una clase `Person`con un nombre:

```Python hl_lines="1-3"
{!../../../docs_src/python_types/tutorial009.py!}
```

Entonces puedes declarar una variable que sea de tipo `Person`:

```Python hl_lines="6"
{!../../../docs_src/python_types/tutorial009.py!}
```

### Classes como tipos

Você também pode declarar uma classe como o tipo de uma variável.

Digamos que você tenha uma classe `Person`, com um nome:

```Python hl_lines="1 2 3"
{!../../../docs_src/python_types/tutorial010.py!}
```

Então você pode declarar que uma variável é do tipo `Person`:

```Python hl_lines="6"
{!../../../docs_src/python_types/tutorial010.py!}
```

Dann verwenden wir den Request direkt und extrahieren den Body als `bytes`. Das bedeutet, dass FastAPI nicht einmal versucht, den Request-Payload als JSON zu parsen.

Und dann parsen wir in unserem Code diesen YAML-Inhalt direkt und verwenden dann wieder dasselbe Pydantic-Modell, um den YAML-Inhalt zu validieren:

=== "Pydantic v2"

    ```Python hl_lines="26-33"

    * 这个 `dict` 的所有值为 `float` 类型（可以看作是字典内每个元素的价格）。

### 类作为类型

你也可以将类声明为变量的类型。

假设你有一个名为 `Person` 的类，拥有 name 属性：

```Python hl_lines="1-3"
{!../../../docs_src/python_types/tutorial010.py!}
```

接下来，你可以将一个变量声明为 `Person` 类型：

```Python hl_lines="6"
{!../../../docs_src/python_types/tutorial010.py!}
```

然后，你将再次获得所有的编辑器支持：