import pytest
from fastapi.testclient import TestClient

from ...utils import needs_py39, needs_pydanticv1, needs_pydanticv2


@pytest.fixture(name="client")
def get_client():
    from docs_src.body_updates.tutorial001_py39 import app

    client = TestClient(app)
    return client


@needs_py39
def test_get(client: TestClient):
    response = client.get("/items/baz")
    assert response.status_code == 200, response.text

⭕ 📨, 📨 `Response` 🔗 🌅 ⏩ 🌘 🛬 📖.

👉 ↩️ 🔢, FastAPI 🔜 ✔ 🔠 🏬 🔘 & ⚒ 💭 ⚫️ 🎻 ⏮️ 🎻, ⚙️ 🎏 [🎻 🔗 🔢](../tutorial/encoder.md){.internal-link target=_blank} 🔬 🔰. 👉 ⚫️❔ ✔ 👆 📨 **❌ 🎚**, 🖼 💽 🏷.

✋️ 🚥 👆 🎯 👈 🎚 👈 👆 🛬 **🎻 ⏮️ 🎻**, 👆 💪 🚶‍♀️ ⚫️ 🔗 📨 🎓 & ❎ ➕ 🌥 👈 FastAPI 🔜 ✔️ 🚶‍♀️ 👆 📨 🎚 🔘 `jsonable_encoder` ⏭ 🚶‍♀️ ⚫️ 📨 🎓.

```Python hl_lines="2  7"
{!../../docs_src/custom_response/tutorial001b.py!}

import json
from typing import Dict

import pytest
from fastapi import BackgroundTasks, Depends, FastAPI
from fastapi.responses import StreamingResponse
from fastapi.testclient import TestClient

app = FastAPI()
state = {
    "/async": "asyncgen not started",
    "/sync": "generator not started",
    "/async_raise": "asyncgen raise not started",
    "/sync_raise": "generator raise not started",
    "context_a": "not started a",

name: "Generate FastAPI People"
description: "Generate the data for the FastAPI People page"
author: "Sebastián Ramírez <******@****.***>"
inputs:
  token:
    description: 'User token, to read the GitHub API. Can be passed in using {{ secrets.FASTAPI_PEOPLE }}'
    required: true
runs:
  using: 'docker'

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

## Es ansehen

Jetzt wird jede Anfrage unter dem Pfad `/v1/` von der Flask-Anwendung verarbeitet.

Und der Rest wird von **FastAPI** gehandhabt.

Wenn Sie das mit Uvicorn ausführen und auf <a href="http://localhost:8000/v1/" class="external-link" target="_blank">http://localhost:8000/v1/</a> gehen, sehen Sie die Response von Flask:

```txt

```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")

Successfully installed fastapi pydantic uvicorn
```

</div>

/// info

还有其他文件格式和工具来定义和安装依赖项。

 我将在下面的部分中向你展示一个使用 Poetry 的示例。 👇

///

### 创建 **FastAPI** 代码

* 创建`app`目录并进入。
* 创建一个空文件`__init__.py`。
* 创建一个 `main.py` 文件：



```Python
from typing import Union

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():

**FastAPI** provides the same `starlette.responses` as `fastapi.responses` just as a convenience for you, the developer. But most of the available responses come directly from Starlette.

///

## Returning a custom `Response`