from fastapi import Body, FastAPI, status
from fastapi.responses import JSONResponse

app = FastAPI()

items = {"foo": {"name": "Fighters", "size": 6}, "bar": {"name": "Tenders", "size": 3}}


@app.put("/items/{item_id}")
async def upsert_item(
    item_id: str,
    name: Union[str, None] = Body(default=None),
    size: Union[int, None] = Body(default=None),
):
    if item_id in items:
        item = items[item_id]

from fastapi import Body, FastAPI, status
from fastapi.responses import JSONResponse

app = FastAPI()

items = {"foo": {"name": "Fighters", "size": 6}, "bar": {"name": "Tenders", "size": 3}}


@app.put("/items/{item_id}")
async def upsert_item(
    item_id: str,
    name: Annotated[str | None, Body()] = None,
    size: Annotated[int | None, Body()] = None,
):
    if item_id in items:
        item = items[item_id]

from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: Union[str, None] = None
    price: float
    tax: Union[float, None] = None


@app.put("/items/{item_id}")
async def update_item(
    item_id: Annotated[int, Path(title="The ID of the item to get", ge=0, le=1000)],
    q: Union[str, None] = None,
    item: Union[Item, None] = None,
):

		bucketL)
	bucketReplProxiedPutTaggingRequestsFailuresMD = NewCounterMD(bucketReplProxiedPutTaggingRequestsFailures,
		"Number of failures in PUT tagging requests proxied to replication target",
		bucketL)
	bucketReplProxiedPutTaggingRequestsTotalMD = NewCounterMD(bucketReplProxiedPutTaggingRequestsTotal,
		"Number of PUT tagging requests proxied to replication target",
		bucketL)
	bucketReplSentBytesMD = NewCounterMD(bucketReplSentBytes,

            return null;
        })).status(Status.OK).result());
    }

    // PUT /api/admin/dataconfig/setting
    @Execute
    public JsonResponse<ApiResult> put$setting(final CreateBody body) {
        validateApi(body, messages -> {});
        body.crudMode = CrudMode.CREATE;
        final DataConfig dataConfig = getDataConfig(body).map(entity -> {

                    return null;
                })).status(ApiResult.Status.OK).result());
    }

    // PUT /api/admin/dict/synonym/setting/{dictId}
    @Execute
    public JsonResponse<ApiResult> put$setting(final String dictId, final CreateBody body) {
        body.dictId = dictId;
        validateApi(body, messages -> {});
        body.crudMode = CrudMode.CREATE;

        }

        featureMap.put(key, value);
    }

    public void addProperty(final String key, final String value) {
        if (StringUtil.isBlank(key) || StringUtil.isBlank(value)) {
            throw new CrawlerSystemException("key or value is null.");
        }

        propertyMap.put(key, value);
    }

    public Map<String, String> getFeatureMap() {

    * Swagger UI.
    * ReDoc.

---

Quay trở lại ví dụ trước, **FastAPI** sẽ thực hiện:

* Kiểm tra xem có một `item_id` trong đường dẫn với các request `GET` và `PUT` không?
* Kiểm tra xem `item_id` có phải là kiểu `int` trong các request `GET` và `PUT` không?
    * Nếu không, client sẽ thấy một lỗi rõ ràng và hữu ích.

---

回到前面的代码示例，**FastAPI** 将会：

* 校验 `GET` 和 `PUT` 请求的路径中是否含有 `item_id`。
* 校验 `GET` 和 `PUT` 请求中的 `item_id` 是否为 `int` 类型。
    * 如果不是，客户端将会收到清晰有用的错误信息。
* 检查 `GET` 请求中是否有命名为 `q` 的可选查询参数（比如 `http://127.0.0.1:8000/items/foo?q=somequery`）。
    * 因为 `q` 被声明为 `= None`，所以它是可选的。
    * 如果没有 `None` 它将会是必需的 (如 `PUT` 例子中的请求体)。
* 对于访问 `/items/{item_id}` 的 `PUT` 请求，将请求体读取为 JSON 并：
    * 检查是否有必需属性 `name` 并且值为 `str` 类型 。

from pydantic import BaseModel

app = FastAPI()


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


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