case madmin.SRBucketMetaTypeObjectLockConfig:
		err = globalSiteReplicationSys.PeerBucketObjectLockConfigHandler(ctx, item.Bucket, item.ObjectLockConfig, item.UpdatedAt)
	case madmin.SRBucketMetaTypeSSEConfig:
		err = globalSiteReplicationSys.PeerBucketSSEConfigHandler(ctx, item.Bucket, item.SSEConfig, item.UpdatedAt)
	case madmin.SRBucketMetaLCConfig:

    return client


@needs_py310
def test_no_query():
    client = get_client()
    response = client.post("/items/")
    assert response.status_code == 200
    assert response.json() == "Hello World"


@needs_py310
def test_q_fixedquery():
    client = get_client()
    response = client.post("/items/", data={"q": "fixedquery"})
    assert response.status_code == 200
    assert response.json() == "Hello fixedquery"

```Python hl_lines="6-7"
{!../../docs_src/path_params/tutorial001.py!}
```

경로 매개변수 `item_id`의 값은 함수의 `item_id` 인자로 전달됩니다.

그래서 이 예제를 실행하고 <a href="http://127.0.0.1:8000/items/foo" class="external-link" target="_blank">http://127.0.0.1:8000/items/foo</a>로 이동하면, 다음 응답을 볼 수 있습니다:

```JSON
{"item_id":"foo"}
```

## 타입이 있는 매개변수

파이썬 표준 타입 어노테이션을 사용하여 함수에 있는 경로 매개변수의 타입을 선언할 수 있습니다:

```Python hl_lines="7"

from fastapi import FastAPI

description = """
ChimichangApp API helps you do awesome stuff. 🚀

## Items

You can **read items**.

## Users

You will be able to:

* **Create users** (_not implemented_).
* **Read users** (_not implemented_).
"""

app = FastAPI(
    title="ChimichangApp",
    description=description,
    summary="Deadpool's favorite app. Nuff said.",
    version="0.0.1",

Por ejemplo, digamos que quieres tener una *operación de path* que permita actualizar ítems y devolver códigos de estado HTTP 200 "OK" cuando sea exitosa.

Pero también quieres que acepte nuevos ítems. Cuando los ítems no existan anteriormente, serán creados y devolverá un código de estado HTTP 201 "Created".

            return StringUtil.EMPTY;
        }
        String item = list.get(index).trim();
        if (StringUtil.isBlank(item)) {
            return StringUtil.EMPTY;
        }
        if (item.length() > 1 && item.charAt(0) == '"' && item.charAt(item.length() - 1) == '"') {
            item = item.substring(1, item.length() - 1);
        }
        return item;
    }

tags_metadata = [
    {
        "name": "users",
        "description": "Operations with users. The **login** logic is also here.",
    },
    {
        "name": "items",
        "description": "Manage items. So _fancy_ they have their own docs.",
        "externalDocs": {
            "description": "Items external docs",
            "url": "https://fastapi.tiangolo.com/",
        },
    },
]

app = FastAPI(openapi_tags=tags_metadata)

/// info

`Body` 同样具有与 `Query`、`Path` 以及其他后面将看到的类完全相同的额外校验和元数据参数。

///

## 嵌入单个请求体参数

假设你只有一个来自 Pydantic 模型 `Item` 的请求体参数 `item`。

默认情况下，**FastAPI** 将直接期望这样的请求体。

但是，如果你希望它期望一个拥有 `item` 键并在值中包含模型内容的 JSON，就像在声明额外的请求体参数时所做的那样，则可以使用一个特殊的 `Body` 参数 `embed`：

```Python
item: Item = Body(embed=True)
```

比如：

//// tab | Python 3.10+

```Python hl_lines="17"

比如，下面有 4 个 API 路径操作（*端点*）：

* `/items/public/`
* `/items/private/`
* `/users/{user_id}/activate`
* `/items/pro/`

开发人员可以使用依赖项及其子依赖项为这些路径操作添加不同的权限：

```mermaid
graph TB

current_user(["current_user"])
active_user(["active_user"])
admin_user(["admin_user"])
paying_user(["paying_user"])

public["/items/public/"]
private["/items/private/"]
activate_user["/users/{user_id}/activate"]

from fastapi import FastAPI

app = FastAPI()


@app.get("/items/")
async def read_items(q: str | None = None):
    results = {"items": [{"item_id": "Foo"}, {"item_id": "Bar"}]}
    if q:
        results.update({"q": q})