app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None


class User(BaseModel):
    username: str
    full_name: str | None = None


@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Item, user: User, importance: int = Body()):
    results = {"item_id": item_id, "item": item, "user": user, "importance": importance}

from fastapi.sse import EventSourceResponse
from pydantic import BaseModel

app = FastAPI()


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


@app.get("/items/stream", response_class=EventSourceResponse)
async def stream_items() -> AsyncIterable[Item]:
    yield Item(name="Plumbus", price=32.99)
    yield Item(name="Portal Gun", price=999.99)
```

            "paths": {
                "/items/{item_id}": {
                    "get": {
                        "responses": {
                            "404": {"description": "Item not found"},
                            "302": {"description": "The item was moved"},
                            "403": {"description": "Not enough privileges"},
                            "200": {

        return input;
    }

    /**
     * Checks if the item has been updated.
     *
     * @return true if the item has been updated, false otherwise.
     */
    public boolean isUpdated() {
        return newInput != null;
    }

    /**
     * Checks if the item has been marked for deletion.
     *
     * @return true if the item is marked for deletion, false otherwise.
     */

                        },
                        "summary": "Update Item",
                        "operationId": "update_item_items__item_id__put",
                        "requestBody": {
                            "content": {
                                "application/json": {
                                    "schema": {"$ref": "#/components/schemas/Item"}
                                }
                            },

	// Get 10 items.
	if len(itemKeys) == 10 {
		for _, key := range itemKeys {
			item, eErr := store.Get(key)
			if eErr != nil {
				t.Fatal("Failed to Get the item from the queue store ", eErr)
			}
			if !reflect.DeepEqual(testItem, item) {
				t.Fatalf("Failed to read the item: error: expected = %v, got = %v", testItem, item)
			}
		}
	} else {
		t.Fatalf("List() Expected: 10, got %d", len(itemKeys))
	}
}

    client = new OkHttpClient.Builder().build();
  }

  public void makeCall(HttpUrl url) throws IOException {
    try (Response response = client.newCall(new Request(url, Headers.EMPTY, "GET", null)).execute()) {
      System.out.println(response.body().string());
    }
  }

     * Retrieves a specific character mapping item by its ID from the specified dictionary.
     * <p>
     * This method looks up a character mapping item using its unique identifier
     * within the context of the specified dictionary.
     * </p>
     *
     * @param dictId the dictionary ID containing the character mapping item
     * @param id the unique identifier of the character mapping item

///

## 단일 본문 매개변수 삽입하기 { #embed-a-single-body-parameter }

Pydantic 모델 `Item`에서 가져온 단일 `item` 본문 매개변수만 있다고 하겠습니다.

기본적으로 **FastAPI**는 그 본문을 직접 예상합니다.

하지만 추가 본문 매개변수를 선언할 때처럼, `item` 키를 가지고 그 안에 모델 내용이 들어 있는 JSON을 예상하게 하려면, `Body`의 특별한 매개변수 `embed`를 사용할 수 있습니다:

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

다음과 같이요:

///

## 嵌入单个请求体参数 { #embed-a-single-body-parameter }

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：

{* ../../docs_src/body_multiple_params/tutorial005_an_py310.py hl[17] *}