from fastapi.testclient import TestClient

from docs_src.query_params_str_validations.tutorial014_an import app

client = TestClient(app)


def test_hidden_query():
    response = client.get("/items?hidden_query=somevalue")
    assert response.status_code == 200, response.text
    assert response.json() == {"hidden_query": "somevalue"}


def test_no_hidden_query():
    response = client.get("/items")

You could also use `from starlette.testclient import TestClient`.

**FastAPI** provides the same `starlette.testclient` as `fastapi.testclient` just as a convenience for you, the developer. But it comes directly from Starlette.

///

/// tip

import gzip
from typing import Callable, List

from fastapi import Body, FastAPI, Request, Response
from fastapi.routing import APIRoute


class GzipRequest(Request):
    async def body(self) -> bytes:
        if not hasattr(self, "_body"):
            body = await super().body()
            if "gzip" in self.headers.getlist("Content-Encoding"):
                body = gzip.decompress(body)
            self._body = body
        return self._body

from fastapi import FastAPI
from fastapi.routing import APIRoute
from pydantic import BaseModel


def custom_generate_unique_id(route: APIRoute):
    return f"{route.tags[0]}-{route.name}"


app = FastAPI(generate_unique_id_function=custom_generate_unique_id)


class Item(BaseModel):
    name: str
    price: float


class ResponseMessage(BaseModel):
    message: str


class User(BaseModel):
    username: str

# 子依赖项

FastAPI 支持创建含**子依赖项**的依赖项。

并且，可以按需声明任意**深度**的子依赖项嵌套层级。

**FastAPI** 负责处理解析不同深度的子依赖项。

### 第一层依赖项

下列代码创建了第一层依赖项：

```Python hl_lines="8-9"
{!../../docs_src/dependencies/tutorial005.py!}
```

这段代码声明了类型为 `str` 的可选查询参数 `q`，然后返回这个查询参数。

这个函数很简单（不过也没什么用），但却有助于让我们专注于了解子依赖项的工作方式。

### 第二层依赖项

接下来，创建另一个依赖项函数，并同时用该依赖项自身再声明一个依赖项（所以这也是一个「依赖项」）：

```Python hl_lines="13"

////

Esse código de status será usado na resposta e será adicionado ao esquema OpenAPI.

/// note | "Detalhes Técnicos"

Você também poderia usar `from starlette import status`.

**FastAPI** fornece o mesmo `starlette.status` como `fastapi.status` apenas como uma conveniência para você, o desenvolvedor. Mas vem diretamente do Starlette.

///

## Tags

from typing import Optional

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

app = FastAPI()


@app.get(
    "/",
    openapi_extra={
        "parameters": [
            {
                "required": False,
                "schema": {"title": "Extra Param 1"},
                "name": "extra_param_1",
                "in": "query",
            },
            {

from typing import Optional

from fastapi import Depends, FastAPI, Query, status
from fastapi.testclient import TestClient

app = FastAPI()


def _get_client_key(client_id: str = Query(...)) -> str:
    return f"{client_id}_key"


def _get_client_tag(client_id: Optional[str] = Query(None)) -> Optional[str]:
    if client_id is None:
        return None
    return f"{client_id}_tag"


@app.get("/foo")
def foo_handler(

🔜, 🔠 📨 🔽 ➡ `/v1/` 🔜 🍵 🏺 🈸.

& 🎂 🔜 🍵 **FastAPI**.

🚥 👆 🏃 ⚫️ ⏮️ Uvicorn &amp; 🚶 <a href="http://localhost:8000/v1/" class="external-link" target="_blank">http://localhost:8000/v1/</a> 👆 🔜 👀 📨 ⚪️➡️ 🏺:

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

&amp; 🚥 👆 🚶 <a href="http://localhost:8000/v2" class="external-link" target="_blank">http://localhost:8000/v2</a> 👆 🔜 👀 📨 ⚪️➡️ FastAPI:

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

Wenn Sie mit **FastAPI** arbeiten, müssen Sie sich darüber keine Sorgen machen, da diese „erste“ Funktion Ihre *Pfadoperation-Funktion* sein wird und FastAPI weiß, was zu tun ist.

Wenn Sie jedoch `async` / `await` ohne FastAPI verwenden möchten, können Sie dies auch tun.

### Schreiben Sie Ihren eigenen asynchronen Code