import uuid

import pytest
from fastapi import FastAPI
from fastapi.testclient import TestClient
from pydantic import BaseModel


class MyUuid:
    def __init__(self, uuid_string: str):
        self.uuid = uuid_string

    def __str__(self):
        return self.uuid

    @property  # type: ignore
    def __class__(self):
        return uuid.UUID

    @property
    def __dict__(self):

from datetime import datetime, time, timedelta
from typing import Union
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: Union[time, None] = Body(default=None),
):

from __future__ import annotations

import uuid
from dataclasses import dataclass, field
from typing import Union

from dirty_equals import IsUUID
from fastapi import FastAPI
from fastapi.testclient import TestClient
from inline_snapshot import snapshot


@dataclass
class Item:
    id: uuid.UUID
    name: str
    price: float
    tags: list[str] = field(default_factory=list)
    description: Union[str, None] = None

    prevStage: Stage?,
    os: Os?,
    dependencies: List<BaseGradleBuildType>,
    generateTriggers: Boolean = true,
) : BaseGradleBuildType(init = {
        id(stageTriggerId(model, stage, os))
        uuid = stageTriggerUuid(model, stage, os)
        name = stage.stageName.stageName + " (Trigger)" + (os?.asName()?.toCapitalized()?.let { "($it)" } ?: "")
        type = Type.COMPOSITE

        applyDefaultSettings()

    branch: VersionedSettingsBranch,
) : PublishGradleDistributionFullBuild(
        promotedBranch = branch.branchName,
        promoteTask = "publishBranchDocs",
        triggerName = StageName.PULL_REQUEST_FEEDBACK.uuid,
    ) {
    init {
        id("Promotion_NightlyDocumentation")
        name = "Nightly Documentation"
        description =

    IPv6Interface,
    IPv6Network,
)
from pathlib import Path, PurePath
from re import Pattern
from types import GeneratorType
from typing import Annotated, Any, Callable, Optional, Union
from uuid import UUID

from annotated_doc import Doc
from fastapi.exceptions import PydanticV1NotSupportedError
from fastapi.types import IncEx
from pydantic import BaseModel
from pydantic.color import Color

package org.codelibs.fess.api.engine;

import java.io.IOException;
import java.io.InputStream;
import java.io.OutputStream;
import java.nio.file.Files;
import java.nio.file.Path;
import java.util.Locale;
import java.util.UUID;

import org.apache.catalina.connector.ClientAbortException;
import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.codelibs.core.io.CopyUtil;

                                "schema": {
                                    "title": "Item Id",
                                    "type": "string",
                                    "format": "uuid",
                                },
                                "name": "item_id",
                                "in": "path",
                            }
                        ],

* Validación de datos.
* Anotación y documentación automática.

## Otros tipos de datos { #other-data-types }

Aquí hay algunos de los tipos de datos adicionales que puedes usar:

* `UUID`:
    * Un "Identificador Universalmente Único" estándar, común como un ID en muchas bases de datos y sistemas.
    * En requests y responses se representará como un `str`.
* `datetime.datetime`:

package org.codelibs.fess.crawler.service.impl;

import static org.codelibs.opensearch.runner.OpenSearchRunner.newConfigs;

import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import java.util.UUID;
import java.util.regex.Pattern;

import org.codelibs.fess.crawler.client.FesenClient;
import org.codelibs.opensearch.runner.OpenSearchRunner;
import org.dbflute.utflute.lastadi.LastaDiTestCase;