from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None
    tags: list[str] = []


@app.post("/items/", response_model=Item)
async def create_item(item: Item) -> Any:
    return item


@app.get("/items/", response_model=list[Item])
async def read_items() -> Any:
    return [

app = FastAPI()


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


@app.put("/items/{item_id}")
async def update_item(
    *,
    item_id: int,
    item: Item = Body(
        examples=[
            {
                "name": "Foo",
                "description": "A very nice Item",
                "price": 35.4,

    size: Annotated[Union[int, None], Body()] = None,
):
    if item_id in items:
        item = items[item_id]
        item["name"] = name
        item["size"] = size
        return item
    else:
        item = {"name": name, "size": size}
        items[item_id] = item

from fastapi import Body, FastAPI
from pydantic import BaseModel

app = FastAPI()


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


@app.put("/items/{item_id}")
async def update_item(
    *,
    item_id: int,
    item: Annotated[
        Item,
        Body(
            examples=[
                {
                    "name": "Foo",

	}

	buf.Reset()
	if err != nil {
		return err
	}

	// Increment the item count.
	store.entries[key.String()] = time.Now().UnixNano()

	return err
}

// write - writes an item to the directory.
func (store *QueueStore[I]) write(key Key, item I) error {
	// Marshals the item.
	eventData, err := json.Marshal(item)
	if err != nil {
		return err
	}
	return store.writeBytes(key, eventData)
}

from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None
    tags: list[str] = []


@app.post("/items/")
async def create_item(item: Item) -> Item:
    return item


@app.get("/items/")
async def read_items() -> list[Item]:
    return [
        Item(name="Portal Gun", price=42.0),

    private interface Item {
        int INT_ITEM = 3;
        int LONG_ITEM = 4;
        int BIGINTEGER_ITEM = 0;
        int STRING_ITEM = 1;
        int LIST_ITEM = 2;
        int COMBINATION_ITEM = 5;

        int compareTo(Item item);

        int getType();

        boolean isNull();
    }

    /**
     * Represents a numeric item in the version item list that can be represented with an int.

def get_validlist():
    return [
        Item(aliased_name="foo"),
        Item(aliased_name="bar", price=1.0),
        Item(aliased_name="baz", price=2.0, owner_ids=[1, 2, 3]),
    ]


@app.get("/items/validdict", response_model=dict[str, Item])
def get_validdict():
    return {
        "k1": Item(aliased_name="foo"),
        "k2": Item(aliased_name="bar", price=1.0),

///

## 단일 본문 매개변수 삽입하기

Pydantic 모델 `Item`의 `item`을 본문 매개변수로 오직 한개만 갖고있다고 하겠습니다.

기본적으로 **FastAPI**는 직접 본문으로 예측할 것입니다.

하지만, 만약 모델 내용에 `item `키를 가진 JSON으로 예측하길 원한다면, 추가적인 본문 매개변수를 선언한 것처럼 `Body`의 특별한 매개변수인 `embed`를 사용할 수 있습니다:

{* ../../docs_src/body_multiple_params/tutorial005.py hl[17] *}

아래 처럼:

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

이 경우에 **FastAPI**는 본문을 아래 대신에:

}


@app.get("/items/{item_id}", response_model=Item)
async def read_item(item_id: str):
    return items[item_id]


@app.patch("/items/{item_id}", response_model=Item)
async def update_item(item_id: str, item: Item):
    stored_item_data = items[item_id]
    stored_item_model = Item(**stored_item_data)
    update_data = item.model_dump(exclude_unset=True)