import org.gradle.work.DisableCachingByDefault
import java.net.URI
import java.net.http.HttpClient
import java.net.http.HttpRequest
import java.net.http.HttpResponse


data class GitHubIssueSearchResult(val items: List<GitHubIssue>)


data class GitHubIssue(
    val number: Int,
    val title: String,
    @SerializedName("html_url") val htmlUrl: String
)

                        "properties": {
                            "loc": {
                                "title": "Location",
                                "type": "array",
                                "items": {
                                    "anyOf": [{"type": "string"}, {"type": "integer"}]
                                },
                            },

                        "properties": {
                            "loc": {
                                "title": "Location",
                                "type": "array",
                                "items": {
                                    "anyOf": [{"type": "string"}, {"type": "integer"}]
                                },
                            },

Kısmi güncellemeler almak istiyorsanız, Pydantic modelinin `.model_dump()` metodundaki `exclude_unset` parametresini kullanmak çok faydalıdır.

Örneğin: `item.model_dump(exclude_unset=True)`.

Bu, `item` modeli oluşturulurken set edilmiş verileri içeren; varsayılan değerleri hariç tutan bir `dict` üretir.

from datetime import datetime, time, timedelta
from uuid import UUID

from fastapi import Body, FastAPI

app = FastAPI()


@app.put("/items/{item_id}")
async def read_items(
    item_id: UUID,
    start_datetime: datetime = Body(),
    end_datetime: datetime = Body(),
    process_after: timedelta = Body(),
    repeat_at: time | None = Body(default=None),
):
    start_process = start_datetime + process_after

* Ihnen die erhaltenen Daten im Parameter `item` übergeben.
    * Da Sie ihn in der Funktion als vom Typ `Item` deklariert haben, erhalten Sie auch die volle Unterstützung des Editors (Autovervollständigung, usw.) für alle Attribute und deren Typen.

from datetime import datetime, time, timedelta
from typing import Annotated
from uuid import UUID

from fastapi import Body, FastAPI

app = FastAPI()


@app.put("/items/{item_id}")
async def read_items(
    item_id: UUID,
    start_datetime: Annotated[datetime, Body()],
    end_datetime: Annotated[datetime, Body()],
    process_after: Annotated[timedelta, Body()],
    repeat_at: Annotated[time | None, Body()] = None,
):

                                "content": {
                                    "application/json": {
                                        "schema": {
                                            "items": {},
                                            "type": "array",
                                            "title": "Response Get People  Get",
                                        }
                                    }

        else:
            return deepcopy(field.default), []
    return field.validate(value, values, loc=loc)


def _is_json_field(field: ModelField) -> bool:
    return any(type(item) is Json for item in field.field_info.metadata)


def _get_multidict_value(
    field: ModelField, values: Mapping[str, Any], alias: str | None = None
) -> Any:
    alias = alias or get_validation_alias(field)
    if (

							</h1>
						</div>
						<div class="col-sm-6">
							<ol class="breadcrumb float-sm-right">
								<li class="breadcrumb-item"><la:link href="/admin/storage/">
										<la:message key="labels.crud_link_list" />
									</la:link></li>
								<li class="breadcrumb-item active"><la:message key="labels.crud_link_edit" /></li>
							</ol>
						</div>
					</div>
				</div>
			</div>
			<section class="content">