```Python hl_lines="2-3  23"
{!../../docs_src/wsgi/tutorial001.py!}
```

## Conferindo

Agora todas as requisições sob o caminho `/v1/` serão manipuladas pela aplicação utilizando Flask.

E o resto será manipulado pelo **FastAPI**.

Se você rodar a aplicação e ir até <a href="http://localhost:8000/v1/" class="external-link" target="_blank">http://localhost:8000/v1/</a>, você verá o retorno do Flask:

```txt
Hello, World from Flask!
```

from fastapi.testclient import TestClient

from docs_src.query_params_str_validations.tutorial012_an import app

client = TestClient(app)


def test_default_query_values():
    url = "/items/"
    response = client.get(url)
    assert response.status_code == 200, response.text
    assert response.json() == {"q": ["foo", "bar"]}


def test_multi_query_values():
    url = "/items/?q=baz&q=foobar"
    response = client.get(url)

import pytest
from fastapi.testclient import TestClient

from ...utils import needs_py310


@pytest.fixture(name="client")
def get_client():
    from docs_src.query_params_str_validations.tutorial014_an_py310 import app

    client = TestClient(app)
    return client


@needs_py310
def test_hidden_query(client: TestClient):
    response = client.get("/items?hidden_query=somevalue")

# ➡ 🔢 & 🔢 🔬

🎏 🌌 👈 👆 💪 📣 🌅 🔬 & 🗃 🔢 🔢 ⏮️ `Query`, 👆 💪 📣 🎏 🆎 🔬 & 🗃 ➡ 🔢 ⏮️ `Path`.

## 🗄 ➡

🥇, 🗄 `Path` ⚪️➡️ `fastapi`:

//// tab | 🐍 3️⃣.6️⃣ & 🔛

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

////

//// tab | 🐍 3️⃣.1️⃣0️⃣ & 🔛

```Python hl_lines="1"
{!> ../../docs_src/path_params_numeric_validations/tutorial001_py310.py!}
```

Isso vai lhe permitir **reusar o modelo** em **múltiplos lugares** e também declarar validações e metadadados para todos os parâmetros de uma vez. 😎

/// note | Nota

Isso é possível desde a versão `0.115.0` do FastAPI. 🤓

///

## Parâmetros do Cabeçalho com um Modelo Pydantic

Declare os **parâmetros de cabeçalho** que você precisa em um **modelo do Pydantic**, e então declare o parâmetro como `Header`:

from fastapi.testclient import TestClient

from docs_src.response_model.tutorial003_05 import app

client = TestClient(app)


def test_get_portal():
    response = client.get("/portal")
    assert response.status_code == 200, response.text
    assert response.json() == {"message": "Here's your interdimensional portal."}


def test_get_redirect():
    response = client.get("/portal", params={"teleport": True}, follow_redirects=False)

import pytest
from fastapi.testclient import TestClient

from ...utils import needs_py310


@pytest.fixture(name="client")
def get_client():
    from docs_src.query_params_str_validations.tutorial014_an_py39 import app

    client = TestClient(app)
    return client


@needs_py310
def test_hidden_query(client: TestClient):
    response = client.get("/items?hidden_query=somevalue")

---

## Установка FastAPI

Первый шаг — установить FastAPI.

Для руководства вы, возможно, захотите установить его со всеми дополнительными зависимостями и функциями:

<div class="termy">

```console
$ pip install "fastapi[all]"

---> 100%
```

</div>

```

/// warning | "警告"

当你直接返回一个像上面例子中的 `Response` 对象时，它会直接返回。

FastAPI 不会用模型等对该响应进行序列化。

确保其中有你想要的数据，且返回的值为合法的 JSON（如果你使用 `JSONResponse` 的话）。

///

/// note | "技术细节"

你也可以使用 `from starlette.responses import JSONResponse`。　

出于方便，**FastAPI** 为开发者提供同 `starlette.responses` 一样的 `fastapi.responses`。但是大多数可用的响应都是直接来自 Starlette。`status` 也是一样。

///

## OpenAPI 和 API 文档

import pytest
from dirty_equals import HasRepr, IsDict, IsOneOf
from fastapi import Depends, FastAPI
from fastapi.exceptions import ResponseValidationError
from fastapi.testclient import TestClient

from .utils import needs_pydanticv2


@pytest.fixture(name="client")
def get_client():
    from pydantic import BaseModel, ValidationInfo, field_validator

    app = FastAPI()

    class ModelB(BaseModel):
        username: str