> Requests - один из самых загружаемых пакетов Python всех времен


Использовать его очень просто. Например, чтобы выполнить запрос `GET`, Вы бы написали:

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

Противоположная *операция пути* в FastAPI может выглядеть следующим образом:

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

Assim, crie atributos de classe com valores fixos, que serão os valores válidos disponíveis.

```Python hl_lines="1  6-9"
{!../../docs_src/path_params/tutorial005.py!}
```

/// info | "informação"

<a href="https://docs.python.org/3/library/enum.html" class="external-link" target="_blank">Enumerations (ou enums) estão disponíveis no Python</a> desde a versão 3.4.

///

/// tip | "Dica"



///

`tags` 参数的值是由 `str` 组成的 `list` （一般只有一个 `str` ），`tags` 用于为*路径操作*添加标签：

```Python hl_lines="17  22  27"
{!../../docs_src/path_operation_configuration/tutorial002.py!}
```

OpenAPI 概图会自动添加标签，供 API 文档接口使用：

<img src="/img/tutorial/path-operation-configuration/image01.png">

## `summary` 和 `description` 参数

路径装饰器还支持 `summary` 和 `description` 这两个参数：

```Python hl_lines="20-21"
{!../../docs_src/path_operation_configuration/tutorial003.py!}

```Python hl_lines="1  13"
{!../../docs_src/events/tutorial003.py!}
```

Um **gerenciador de contexto** em Python é algo que você pode usar em uma declaração `with`, por exemplo, `open()` pode ser usado como um gerenciador de contexto:

```Python
with open("file.txt") as file:
    file.read()
```

### `OAuth2PasswordRequestForm`

🥇, 🗄 `OAuth2PasswordRequestForm`, & ⚙️ ⚫️ 🔗 ⏮️ `Depends` *➡ 🛠️* `/token`:

//// tab | 🐍 3️⃣.6️⃣ & 🔛

```Python hl_lines="4  76"
{!> ../../docs_src/security/tutorial003.py!}
```

////

//// tab | 🐍 3️⃣.1️⃣0️⃣ & 🔛

```Python hl_lines="2  74"
{!> ../../docs_src/security/tutorial003_py310.py!}
```

////

`OAuth2PasswordRequestForm` 🎓 🔗 👈 📣 📨 💪 ⏮️:

The result of calling it is something that can be encoded with the Python standard <a href="https://docs.python.org/3/library/json.html#json.dumps" class="external-link" target="_blank">`json.dumps()`</a>.

It doesn't return a large `str` containing the data in JSON format (as a string). It returns a Python standard data structure (e.g. a `dict`) with values and sub-values that are all compatible with JSON.

/// note

//// tab | 🐍 3️⃣.6️⃣ & 🔛

```Python hl_lines="9"
{!> ../../docs_src/header_params/tutorial003.py!}
```

////

//// tab | 🐍 3️⃣.9️⃣ & 🔛

```Python hl_lines="9"
{!> ../../docs_src/header_params/tutorial003_py39.py!}
```

////

//// tab | 🐍 3️⃣.1️⃣0️⃣ & 🔛

```Python hl_lines="7"
{!> ../../docs_src/header_params/tutorial003_py310.py!}
```

## Managing hermetic Python

To make sure that TensorFlow's build is reproducible, behaves uniformly across
supported platforms (Linux, Windows, MacOS) and is properly isolated from
specifics of a local system, we rely on hermetic Python (see
[rules_python](https://github.com/bazelbuild/rules_python)) for all build
and test commands executed via Bazel. This means that your system Python
installation will be ignored during the build and Python interpreter itself

### Import `HTTPException`

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

### Raise an `HTTPException` in your code

`HTTPException` is a normal Python exception with additional data relevant for APIs.

Because it's a Python exception, you don't `return` it, you `raise` it.

//// tab | 🐍 3️⃣.6️⃣ & 🔛

```Python hl_lines="3  17"
{!> ../../docs_src/path_operation_configuration/tutorial001.py!}
```

////

//// tab | 🐍 3️⃣.9️⃣ & 🔛

```Python hl_lines="3  17"
{!> ../../docs_src/path_operation_configuration/tutorial001_py39.py!}
```

////

//// tab | 🐍 3️⃣.1️⃣0️⃣ & 🔛

```Python hl_lines="1  15"