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,

            final boolean update) {
        final BulkRequestBuilder bulkRequestBuilder = client.prepareBulk();

        final SuggestItem[] mergedItems = mergeItems(items);
        if (mergedItems.length == 0) {
            return new SuggestWriterResult();
        }

        for (final SuggestItem item : mergedItems) {

        "paths": {
            "/items/{item_id}": {
                "get": {
                    "summary": "Read Item",
                    "operationId": "read_item_items__item_id__get",
                    "parameters": [
                        {
                            "required": True,
                            "schema": {"title": "Item Id", "type": "string"},
                            "name": "item_id",

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",

    response = client.put(
        "/items/5",
        json={
            "item": {
                "name": "Foo",
                "price": 50.5,
                "description": "Some Foo",
                "tax": 0.1,
            },
        },
    )
    assert response.status_code == 200
    assert response.json() == {
        "item_id": 5,
        "item": {
            "name": "Foo",

            }
        }

        @Override
        public int compareTo(Item item) {
            if (item == null) {
                if (size() == 0) {
                    return 0; // 1-0 = 1- (normalize) = 1
                }
                // Compare the entire list of items with null - not just the first one, MNG-6964
                for (Item i : this) {
                    int result = i.compareTo(null);

from fastapi.temp_pydantic_v1_params import Body
from pydantic.v1 import BaseModel


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


app = FastAPI()


@app.post("/items/")
async def create_item(item: Annotated[Item, Body(embed=True)]) -> Item:

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,

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(embed=True)]):
    results = {"item_id": item_id, "item": item}

        items[2] = new SuggestItem(new String[] { "両方" }, readings3, new String[] { "content" }, 1L, 1L, -1.0f, new String[] { "tag1" },
                new String[] { SuggestConstants.DEFAULT_ROLE }, null, SuggestItem.Kind.DOCUMENT);
        items[2].setKinds(new SuggestItem.Kind[] { SuggestItem.Kind.DOCUMENT, SuggestItem.Kind.QUERY });

        suggester.indexer().index(items);
        suggester.refresh();