from dirty_equals import IsDict
from fastapi.testclient import TestClient

from docs_src.query_params_str_validations.tutorial011_an import app

client = TestClient(app)


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


def test_query_no_values():
    url = "/items/"

from base64 import b64encode

from fastapi.testclient import TestClient

from docs_src.security.tutorial006_an import app

client = TestClient(app)


def test_security_http_basic():
    response = client.get("/users/me", auth=("john", "secret"))
    assert response.status_code == 200, response.text
    assert response.json() == {"username": "john", "password": "secret"}


def test_security_http_basic_no_credentials():

## 检查

现在，所有定义在 `/v1/` 路径下的请求将会被 Flask 应用处理。

其余的请求则会被 **FastAPI** 处理。

如果您使用 Uvicorn 运行应用实例并且访问 <a href="http://localhost:8000/v1/" class="external-link" target="_blank">http://localhost:8000/v1/</a>，您将会看到由 Flask 返回的响应：

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

并且如果您访问 <a href="http://localhost:8000/v2" class="external-link" target="_blank">http://localhost:8000/v2</a>，您将会看到由 FastAPI 返回的响应：

```JSON
{
    "message": "Hello World"
}

# 请求表单与文件

FastAPI 支持同时使用 `File` 和 `Form` 定义文件和表单字段。

/// info | "说明"

接收上传文件或表单数据，要预先安装 <a href="https://github.com/Kludex/python-multipart" class="external-link" target="_blank">`python-multipart`</a>。

例如，`pip install python-multipart`。

///

## 导入 `File` 与 `Form`

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

## 定义 `File` 与 `Form` 参数

创建文件和表单参数的方式与 `Body` 和 `Query` 一样：

import pytest
from dirty_equals import IsDict
from fastapi.testclient import TestClient

from docs_src.cookie_params.tutorial001 import app


@pytest.mark.parametrize(
    "path,cookies,expected_status,expected_response",
    [
        ("/items", None, 200, {"ads_id": None}),
        ("/items", {"ads_id": "ads_track"}, 200, {"ads_id": "ads_track"}),
        (
            "/items",
            {"ads_id": "ads_track", "session": "cookiesession"},

import pytest
from dirty_equals import IsDict
from fastapi.testclient import TestClient

from docs_src.header_params.tutorial003 import app

client = TestClient(app)


@pytest.mark.parametrize(
    "path,headers,expected_status,expected_response",
    [
        ("/items", None, 200, {"X-Token values": None}),
        ("/items", {"x-token": "foo"}, 200, {"X-Token values": ["foo"]}),
        (
            "/items",

import pytest
from fastapi.testclient import TestClient

from ...utils import needs_py39


@pytest.fixture(name="client")
def get_client():
    from docs_src.query_params_str_validations.tutorial012_an_py39 import app

    client = TestClient(app)
    return client


@needs_py39
def test_default_query_values(client: TestClient):
    url = "/items/"
    response = client.get(url)

👆 💪 ⚙️ 🏪 🔢 ⚪️➡️ `fastapi.status`.

```Python hl_lines="1  6"
{!../../docs_src/response_status_code/tutorial002.py!}
```

👫 🏪, 👫 🧑‍🤝‍🧑 🎏 🔢, ✋️ 👈 🌌 👆 💪 ⚙️ 👨‍🎨 📋 🔎 👫:

<img src="/img/tutorial/response-status-code/image02.png">

/// note | "📡 ℹ"

👆 💪 ⚙️ `from starlette import status`.

**FastAPI** 🚚 🎏 `starlette.status` `fastapi.status` 🏪 👆, 👩‍💻. ✋️ ⚫️ 👟 🔗 ⚪️➡️ 💃.

}
```

In this example, the "Proxy" could be something like **Traefik**. And the server would be something like FastAPI CLI with **Uvicorn**, running your FastAPI application.

### Providing the `root_path`

To achieve this, you can use the command line option `--root-path` like:

<div class="termy">

```console
$ fastapi run main.py --root-path /api/v1

///

整个 **FastAPI** 建立在 Pydantic 的基础之上。

实际上你将在 [教程 - 用户指南](tutorial/index.md){.internal-link target=_blank} 看到很多这种情况。

## **FastAPI** 中的类型提示

**FastAPI** 利用这些类型提示来做下面几件事。

使用 **FastAPI** 时用类型提示声明参数可以获得：

* **编辑器支持**。
* **类型检查**。

...并且 **FastAPI** 还会用这些类型声明来：

* **定义参数要求**：声明对请求路径参数、查询参数、请求头、请求体、依赖等的要求。