* Automatic data model documentation with <a href="https://json-schema.org/" class="external-link" target="_blank"><strong>JSON Schema</strong></a> (as OpenAPI itself is based on JSON Schema).
* Designed around these standards, after a meticulous study. Instead of an afterthought layer on top.
* This also allows using automatic **client code generation** in many languages.

### Automatic docs

Möglicherweise stellen Sie fest, dass Sie zum Erstellen einer Instanz einer Python-Klasse die gleiche Syntax verwenden.

Zum Beispiel:

```Python
class Cat:
    def __init__(self, name: str):
        self.name = name


fluffy = Cat(name="Mr Fluffy")
```

In diesem Fall ist `fluffy` eine Instanz der Klasse `Cat`.

Und um `fluffy` zu erzeugen, rufen Sie `Cat` auf.

And it will be annotated / documented accordingly too.

## Nested Models

Each attribute of a Pydantic model has a type.

But that type can itself be another Pydantic model.

So, you can declare deeply nested JSON "objects" with specific attribute names, types and validations.

All that, arbitrarily nested.

### Define a submodel

还有许多其他镜像用于不同的需要（例如数据库），例如：


* <a href="https://hub.docker.com/_/postgres" class="external-link" target="_blank">PostgreSQL</a>
* <a href="https://hub.docker.com/_/mysql" class="external-link" target="_blank">MySQL</a>
* <a href="https://hub.docker.com/_/mongo" class="external-link" target="_blank">MongoDB</a>
* <a href="https://hub.docker.com/_/redis" class="external-link" target="_blank">Redis</a>, etc.

Es ist das beliebteste Python-Framework und genießt großes Vertrauen. Es wird zum Aufbau von Systemen wie Instagram verwendet.

Ist relativ eng mit relationalen Datenbanken (wie MySQL oder PostgreSQL) gekoppelt, daher ist es nicht sehr einfach, eine NoSQL-Datenbank (wie Couchbase, MongoDB, Cassandra, usw.) als Hauptspeicherengine zu verwenden.

            ),
        ],
    ) -> None:
        self.debug = debug
        self.title = title
        self.summary = summary
        self.description = description
        self.version = version
        self.terms_of_service = terms_of_service
        self.contact = contact
        self.license_info = license_info
        self.openapi_url = openapi_url
        self.openapi_tags = openapi_tags

Yani, aşağıdaki bağlantıya gitmek:

```
http://127.0.0.1:8000/items/
```

şu adrese gitmek ile aynı etkiye sahiptir:

```
http://127.0.0.1:8000/items/?skip=0&limit=10
```

Ancak, mesela şöyle bir adresi ziyaret ederseniz:

```
http://127.0.0.1:8000/items/?skip=20
```

Fonksiyonunuzdaki parametre değerleri aşağıdaki gibi olacaktır:

* `skip=20`: çünkü bağlantıda böyle tanımlandı.

    Read more about it in the
    [FastAPI docs for Configure Swagger UI](https://fastapi.tiangolo.com/how-to/configure-swagger-ui/)
    and the [FastAPI docs for Custom Docs UI Static Assets (Self-Hosting)](https://fastapi.tiangolo.com/how-to/custom-docs-ui-assets/).
    """
    current_swagger_ui_parameters = swagger_ui_default_parameters.copy()
    if swagger_ui_parameters:

    title: FastAPIでPOSTされたJSONのレスポンスbodyを受け取る
  - author: '@angel_katayoku'
    author_link: https://qiita.com/angel_katayoku
    link: https://qiita.com/angel_katayoku/items/4fbc1a4e2b33fa2237d2
    title: FastAPIをMySQLと接続してDockerで管理してみる
  - author: '@angel_katayoku'
    author_link: https://qiita.com/angel_katayoku
    link: https://qiita.com/angel_katayoku/items/0e1f5dbbe62efc612a78
    title: FastAPIでCORSを回避
  - author: '@ryoryomaru'

then it is a "callable".

## Classes as dependencies

You might notice that to create an instance of a Python class, you use that same syntax.

For example:

```Python
class Cat:
    def __init__(self, name: str):
        self.name = name


fluffy = Cat(name="Mr Fluffy")
```

In this case, `fluffy` is an instance of the class `Cat`.

And to create `fluffy`, you are "calling" `Cat`.