import pytest
from dirty_equals import IsDict
from fastapi.testclient import TestClient

from ...utils import needs_py39


@pytest.fixture(name="client")
def get_client():
    from docs_src.body_multiple_params.tutorial003_an_py39 import app

    client = TestClient(app)
    return client


@needs_py39
def test_post_body_valid(client: TestClient):
    response = client.put(
        "/items/5",
        json={

# Aprender

Aquí están las secciones introductorias y los tutoriales para aprender **FastAPI**.

All the **logic** about how to register the URLs for webhooks and the code to actually send those requests is up to you. You write it however you want to in **your own code**.

## Documenting webhooks with **FastAPI** and OpenAPI

With **FastAPI**, using OpenAPI, you can define the names of these webhooks, the types of HTTP operations that your app can send (e.g. `POST`, `PUT`, etc.) and the request **bodies** that your app would send.

# JSON 호환 가능 인코더

데이터 유형(예: Pydantic 모델)을 JSON과 호환된 형태로 반환해야 하는 경우가 있습니다. (예: `dict`, `list` 등)

예를 들면, 데이터베이스에 저장해야하는 경우입니다.

이를 위해, **FastAPI** 에서는 `jsonable_encoder()` 함수를 제공합니다.

## `jsonable_encoder` 사용

JSON 호환 가능 데이터만 수신하는 `fake_db` 데이터베이스가 존재한다고 가정하겠습니다.

예를 들면, `datetime` 객체는 JSON과 호환되는 데이터가 아니므로 이 데이터는 받아들여지지 않습니다.

import pytest
from dirty_equals import IsDict
from fastapi.testclient import TestClient

from ...utils import needs_py310


@pytest.fixture(name="client")
def get_client():
    from docs_src.dependencies.tutorial001_an_py310 import app

    client = TestClient(app)
    return client


@needs_py310
@pytest.mark.parametrize(
    "path,expected_status,expected_response",
    [

///

**FastAPI** повністю базується на Pydantic.

Ви побачите набагато більше цього всього на практиці в [Tutorial - User Guide](tutorial/index.md){.internal-link target=_blank}.

## Анотації типів у **FastAPI**

**FastAPI** використовує ці підказки для виконання кількох речей.

З **FastAPI** ви оголошуєте параметри з підказками типу, і отримуєте:

# 学习

以下是学习 **FastAPI** 的介绍部分和教程。

This would allow you to **re-use the model** in **multiple places** and also to declare validations and metadata for all the parameters at once. 😎

/// note

This is supported since FastAPI version `0.115.0`. 🤓

///

/// tip

This same technique applies to `Query`, `Cookie`, and `Header`. 😎

///

## Cookies with a Pydantic Model

import time
from typing import List

from fastapi import Depends, FastAPI, HTTPException

from . import crud, database, models, schemas
from .database import db_state_default

database.db.connect()
database.db.create_tables([models.User, models.Item])
database.db.close()

app = FastAPI()

sleep_time = 10


async def reset_db_state():
    database.db._state._state.set(db_state_default.copy())
    database.db._state.reset()

# Metadaten und URLs der Dokumentationen

Sie können mehrere Metadaten-Einstellungen für Ihre **FastAPI**-Anwendung konfigurieren.

## Metadaten für die API

Sie können die folgenden Felder festlegen, welche in der OpenAPI-Spezifikation und den Benutzeroberflächen der automatischen API-Dokumentation verwendet werden:

| Parameter | Typ | Beschreibung |
|------------|------|-------------|
| `title` | `str` | Der Titel der API. |