Eles serão convertidos para seus valores correspondentes (strings neste caso) antes de serem retornados ao cliente:

{* ../../docs_src/path_params/tutorial005_py39.py hl[18,21,23] *}

No seu cliente, você receberá uma resposta JSON como:

```JSON
{
  "model_name": "alexnet",
  "message": "Deep Learning FTW!"
}

#!/usr/bin/env python
# -*- coding: utf-8 -*-

import json
import logging
import urllib
from uuid import uuid4

import boto3
import requests
from botocore.client import Config
from flask import Flask, request

boto3.set_stream_logger('boto3.resources', logging.DEBUG)

authorize_url = "http://localhost:8080/auth/realms/minio/protocol/openid-connect/auth"
token_url = "http://localhost:8080/auth/realms/minio/protocol/openid-connect/token"

	if rec.Code != http.StatusOK {
		t.Errorf("Expected to succeed but failed with %d", rec.Code)
	}

	results := madmin.InfoMessage{}
	err = json.NewDecoder(rec.Body).Decode(&results)
	if err != nil {
		t.Fatalf("Failed to decode set config result json %v", err)
	}

	if results.Region != globalMinioDefaultRegion {
		t.Errorf("Expected %s, got %s", globalMinioDefaultRegion, results.Region)
	}
}

Der Weg, wie HTML-Formulare (`<form></form>`) die Daten zum Server senden, verwendet normalerweise eine „spezielle“ Kodierung für diese Daten. Diese unterscheidet sich von JSON.

**FastAPI** stellt sicher, dass diese Daten korrekt ausgelesen werden, statt JSON zu erwarten.

/// note | Technische Details

Create new canned policy file `getonly.json`. This policy enables users to download all objects under `my-bucketname`.

```json
cat > getonly.json << EOF
{
  "Version": "2012-10-17",
  "Statement": [
	{
	  "Action": [
		"s3:GetObject"
	  ],
	  "Effect": "Allow",
	  "Resource": [

    @Test
    public void testHeaderMethod() {
        CurlRequest request = new CurlRequest(Method.GET, "https://example.com");

        CurlRequest result = request.header("Content-Type", "application/json").header("Accept", "application/json");

        assertSame(request, result); // Fluent API
    }

    @Test
    public void testThreadPoolMethod() {

{* ../../docs_src/body_nested_models/tutorial005_py310.py hl[2,8] *}

该字符串将被检查是否为有效的 URL，并在 JSON Schema / OpenAPI 文档中进行记录。

## 带有一组子模型的属性

你还可以将 Pydantic 模型用作 `list`、`set` 等的子类型：

{* ../../docs_src/body_nested_models/tutorial006_py310.py hl[18] *}

这将期望（转换，校验，记录文档等）下面这样的 JSON 请求体：

```JSON hl_lines="11"
{
    "name": "Foo",
    "description": "The pretender",
    "price": 42.0,

 - [Git](https://github.com/codelibs/fess-ds-git)
 - [Gitbucket](https://github.com/codelibs/fess-ds-gitbucket)
 - [G Suite](https://github.com/codelibs/fess-ds-gsuite)
 - [JSON](https://github.com/codelibs/fess-ds-json)
 - [Office 365](https://github.com/codelibs/fess-ds-office365)
 - [S3](https://github.com/codelibs/fess-ds-s3)
 - [Salesforce](https://github.com/codelibs/fess-ds-salesforce)

 - [Git](https://github.com/codelibs/fess-ds-git)
 - [Gitbucket](https://github.com/codelibs/fess-ds-gitbucket)
 - [G Suite](https://github.com/codelibs/fess-ds-gsuite)
 - [JSON](https://github.com/codelibs/fess-ds-json)
 - [Office 365](https://github.com/codelibs/fess-ds-office365)
 - [S3](https://github.com/codelibs/fess-ds-s3)
 - [Salesforce](https://github.com/codelibs/fess-ds-salesforce)

* form data: form data (do not translate to "datos de formulario" or "datos de form")
* import (as in code import): import (do not translate to "importación")
* JSON Schema: JSON Schema (do not translate to "Esquema JSON")
* embed: embeber (do not translate to "incrustar")
* request body: request body (do not translate to "cuerpo de la petición")
* response body: response body (do not translate to "cuerpo de la respuesta")