/// info | "Informação"

Para receber arquivos carregados e/ou dados de formulário, primeiro instale <a href="https://github.com/Kludex/python-multipart" class="external-link" target="_blank">`python-multipart`</a>.

Por exemplo: `pip install python-multipart`.

///

## Importe `File` e `Form`

```Python hl_lines="1"
{!../../docs_src/request_forms_and_files/tutorial001.py!}
```

## Defina parâmetros de `File` e `Form`

//// tab | Python 3.10+

```Python hl_lines="11  13  20  23"
{!> ../../docs_src/background_tasks/tutorial002_py310.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="13  15  22  25"
{!> ../../docs_src/background_tasks/tutorial002.py!}
```

////

Lo haces con tipos modernos estándar de Python.

No tienes que aprender una sintaxis nueva, los métodos o clases de una library específica, etc.

Solo **Python** estándar.

Por ejemplo, para un `int`:

```Python
item_id: int
```

o para un modelo más complejo de `Item`:

```Python
item: Item
```

...y con esa única declaración obtienes:

Pydanticモデルのようなオブジェクトを受け取り、JSON互換版を返します:

```Python hl_lines="5 22"
{!../../docs_src/encoder/tutorial001.py!}
```

この例では、Pydanticモデルを`dict`に、`datetime`を`str`に変換します。

呼び出した結果は、Pythonの標準の<a href="https://docs.python.org/3/library/json.html#json.dumps" class="external-link" target="_blank">`json.dumps()`</a>でエンコードできるものです。

これはJSON形式のデータを含む大きな`str`を（文字列として）返しません。JSONと互換性のある値とサブの値を持つPython標準のデータ構造（例：`dict`）を返します。

/// note | "備考"

-   type: dropdown id: source attributes: label: Source description: Tensorflow

Es umfasst die folgenden Defaultkonfigurationen:

```Python
{!../../fastapi/openapi/docs.py[ln:7-23]!}
```

Sie können jede davon überschreiben, indem Sie im Argument `swagger_ui_parameters` einen anderen Wert festlegen.

Um beispielsweise `deepLinking` zu deaktivieren, könnten Sie folgende Einstellungen an `swagger_ui_parameters` übergeben:

```Python hl_lines="3"
{!../../docs_src/configure_swagger_ui/tutorial003.py!}
```

🥇, ✍ 🌐 👆 **FastAPI** 🈸 🛎:

```Python hl_lines="1  4  7-9"
{!../../docs_src/extending_openapi/tutorial001.py!}
```

### 🏗 🗄 🔗

⤴️, ⚙️ 🎏 🚙 🔢 🏗 🗄 🔗, 🔘 `custom_openapi()` 🔢:

```Python hl_lines="2  15-20"
{!../../docs_src/extending_openapi/tutorial001.py!}
```

### 🔀 🗄 🔗

🔜 👆 💪 🚮 📄 ↔, ❎ 🛃 `x-logo` `info` "🎚" 🗄 🔗:

```Python hl_lines="21-23"

from tensorflow.python import pywrap_tensorflow as _pywrap_tensorflow  # pylint: disable=unused-import
from tensorflow.python.tools import module_util as _module_util
from tensorflow.python.util.lazy_loader import KerasLazyLoader as _KerasLazyLoader

# Make sure code inside the TensorFlow codebase can use tf2.enabled() at import.
_os.environ["TF2_BEHAVIOR"] = "1"
from tensorflow.python import tf2 as _tf2
_tf2.enable()

Çeşitli fikirleri en popüler Python editörlerinde test ettim: PyCharm, VS Code, Jedi tabanlı editörler.

Bu test, en son <a href="https://www.jetbrains.com/research/python-developers-survey-2018/#development-tools" class="external-link" target="_blank">Python Developer Survey</a>'ine göre, kullanıcıların yaklaşık %80'inin kullandığı editörleri kapsıyor.

```Python hl_lines="17-20  24-25"
{!> ../../docs_src/security/tutorial002_py310.py!}
```

////

## 현재 유저 주입하기

이제 *경로 작동*에서 `get_current_user`와 동일한 `Depends`를 사용할 수 있습니다.

//// tab | 파이썬 3.7 이상

```Python hl_lines="31"
{!> ../../docs_src/security/tutorial002.py!}
```

////

//// tab | 파이썬 3.10 이상

```Python hl_lines="29"
{!> ../../docs_src/security/tutorial002_py310.py!}
```

////