// create ES nodes
        final String clusterName = UUID.randomUUID().toString();
        runner.onBuild((number, settingsBuilder) -> {
            settingsBuilder.put("http.cors.enabled", true);
            settingsBuilder.put("discovery.type", "single-node");
        }).build(newConfigs().clusterName(clusterName).numOfNode(1));

        // wait for yellow status
        runner.ensureYellow();

#### Operation

„Operation“ bezieht sich hier auf eine der HTTP-„Methoden“.

Eine von diesen:

* `POST`
* `GET`
* `PUT`
* `DELETE`

... und die etwas Exotischeren:

* `OPTIONS`
* `HEAD`
* `PATCH`
* `TRACE`

Im HTTP-Protokoll können Sie mit jedem Pfad über eine (oder mehrere) dieser „Methoden“ kommunizieren.

            MapProperty<String, String> replacementTokens = task.getReplacementTokens();
            replacementTokens.put("version", moduleIdentity.getVersion().map(GradleVersion::getVersion));
            replacementTokens.put("baseVersion", moduleIdentity.getVersion().map(v -> v.getBaseVersion().getVersion()));

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: int,
    item: Annotated[
        Item,
        Body(
            openapi_examples={
                "normal": {

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: int, item: Annotated[Item, Body(embed=True)]):
    results = {"item_id": item_id, "item": item}

            final String sid = ComponentUtil.getCrawlingConfigHelper().store(sessionId, dataConfig);
            sessionIdList.add(sid);

            initParamMap.put(Constants.SESSION_ID, sessionId);
            initParamMap.put(Constants.CRAWLING_INFO_ID, sid);

            final DataCrawlingThread dataCrawlingThread = new DataCrawlingThread(dataConfig, indexUpdateCallback, initParamMap);

        Map<String, Object> data = new HashMap<>();
        data.put("plexus", context.lookup.lookup(PlexusContainer.class));
        data.put("workingDirectory", invokerRequest.cwd().toString());
        data.put("systemProperties", toProperties(invokerRequest.systemProperties()));
        data.put("userProperties", toProperties(invokerRequest.userProperties()));
        data.put("versionProperties", CLIReportingUtils.getBuildProperties());

from pydantic import BaseModel


class Item(BaseModel):
    title: str
    timestamp: datetime
    description: Union[str, None] = None


app = FastAPI()


@app.put("/items/{id}")
def update_item(id: str, item: Item):
    json_compatible_item_data = jsonable_encoder(item)

                    "name": "Foo",
                    "description": "A very nice Item",
                    "price": 35.4,
                    "tax": 3.2,
                }
            ]
        }


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

from typing_extensions import Annotated

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: int, item: Annotated[Item, Body(embed=True)]):
    results = {"item_id": item_id, "item": item}