│   └── routers          # „routers“ ist ein „Python-Subpackage“
│   │   ├── __init__.py  # macht „routers“ zu einem „Python-Subpackage“
│   │   ├── items.py     # „items“-Submodul, z. B. import app.routers.items
│   │   └── users.py     # „users“-Submodul, z. B. import app.routers.users
│   └── internal         # „internal“ ist ein „Python-Subpackage“
│       ├── __init__.py  # macht „internal“ zu einem „Python-Subpackage“

### 總結

總結來說， 你就像宣告函式的參數型別一樣，只宣告了一次請求參數和請求主體參數等型別。

你使用 Python 標準型別來完成聲明。

你不需要學習新的語法、類別、方法或函式庫等等。

只需要使用 **Python 以上的版本**。

舉個範例，比如宣告 int 的型別：

```Python
item_id: int
```

或是一個更複雜的 `Item` 模型：

```Python
item: Item
```

在進行一次宣告後，你將獲得：

- 編輯器支援：
    - 自動補全
    - 型別檢查
- 資料驗證：

## `async` e `await` { #async-and-await }

Versões modernas do Python têm um modo muito intuitivo para definir código assíncrono. Isso faz parecer do mesmo jeito do código normal "sequencial" e fazer a "espera" para você nos momentos certos.

Quando tem uma operação que exigirá espera antes de dar os resultados e tem suporte para esses novos recursos do Python, você pode escrever assim:

```Python
burgers = await get_burgers(2)
```

That's why, as said in the official website:

> Requests is one of the most downloaded Python packages of all time

The way you use it is very simple. For example, to do a `GET` request, you would write:

```Python
response = requests.get("http://example.com/some/url")
```

The FastAPI counterpart API *path operation* could look like:

```Python hl_lines="1"
@app.get("/some/url")
def read_url():

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()

# Testando { #testing }

Graças ao <a href="https://www.starlette.dev/testclient/" class="external-link" target="_blank">Starlette</a>, testar aplicações **FastAPI** é fácil e agradável.

Ele é baseado no <a href="https://www.python-httpx.org" class="external-link" target="_blank">HTTPX</a>, que por sua vez é projetado com base em Requests, por isso é muito familiar e intuitivo.

Щоб отримувати завантажені файли, спочатку встановіть <a href="https://github.com/Kludex/python-multipart" class="external-link" target="_blank">python-multipart</a>.

Переконайтеся, що Ви створили [віртуальне середовище](../virtual-environments.md){.internal-link target=_blank}, активували його та встановили пакет, наприклад:

```console
$ pip install python-multipart
```

      run: |
        echo Changed files: ${{ steps.get_file_changes.outputs.files }}
    - name: Set up Python 3.9
      uses: actions/setup-python@83679a892e2d95755f2dac6acb0bfd1e9ac5d548 # v6.1.0
      with:
        python-version: "3.9"
    - name: Install Python dependencies
      run: |
        python -m pip install --upgrade pip
        pip install pylint==2.13.9 numpy wheel
    - name: Run PyLint on changed files

Данные по редакторам я взял из <a href="https://www.jetbrains.com/research/python-developers-survey-2018/#development-tools" class="external-link" target="_blank">опроса Python-разработчиков</a>, который охватывает около 80% пользователей.

You can import it directly form `fastapi`:

```python
from fastapi import WebSocketDisconnect
```

::: fastapi.WebSocketDisconnect

## WebSockets - additional classes

Additional classes for handling WebSockets.

Provided directly by Starlette, but you can import it from `fastapi`:

```python
from fastapi.websockets import WebSocketDisconnect, WebSocketState
```