* مستندسازی خودکار data model با <a href="https://json-schema.org/" class="external-link" target="_blank"><strong>JSON Schema</strong></a> (همانطور که OpenAPI خود نیز مبتنی بر JSON Schema است).
* طراحی شده بر اساس استاندارد هایی که پس از یک مطالعه دقیق بدست آمده اند بجای طرحی ناپخته و بدون فکر.

    val request = server.takeRequest()
    assertThat(request.requestLine).isEqualTo(
      "GET /a/deep/path?key=foo%20bar HTTP/1.1",
    )
    val requestUrl = request.url
    assertThat(requestUrl.scheme).isEqualTo("http")
    assertThat(requestUrl.host).isEqualTo(server.hostName)
    assertThat(requestUrl.port).isEqualTo(server.port)
    assertThat(requestUrl.encodedPath).isEqualTo("/a/deep/path")

/src/main/webapp/WEB-INF/logs/fess*
/.settings/
.project
.classpath
*.iml
.idea
.vscode
.DS_Store
/plugins/
/modules/
/tomcat.8080/
dbflute_fess/output/doc/lastadoc-fess.html
dbflute_fess/schema/project-lastadoc-fess.json
src/main/resources/fess_indices/fess_config.access_token/access_token.bulk
src/main/resources/ga_client_secrets.p12
src/main/webapp/WEB-INF/project.properties
/.apt_generated/
/.apt_generated_tests/

<?xml version="1.0" encoding="UTF-8" ?>
<eef>
	<config Schema="2.0" EnterpriseVersion="'7.6.50'">
		<collections Count="3">
			<collection Name="fess">
				<bad_urls><![CDATA[
https://fess.codelibs.org/images/
              ]]></bad_urls>
				<good_urls><![CDATA[
https://fess.codelibs.org/
https://www.codelibs.org/
              ]]></good_urls>
				<prerequisite_results><![CDATA[
20
              ]]></prerequisite_results>

Ayrıca, en iyi yaklaşım zaten mevcut olan standartları kullanmaktı.

Sonuç olarak, **FastAPI**'ı kodlamaya başlamadan önce, birkaç ay boyunca OpenAPI, JSON Schema, OAuth2 ve benzerlerinin tanımlamalarını inceledim. İlişkilerini, örtüştükleri noktaları ve farklılıklarını anlamaya çalıştım.

## Tasarım

Il effectue également la validation des données (même imbriquées les unes dans les autres), et permet de les documenter correctement (schéma OpenAPI et documentation auto-générée).

## Valeurs scalaires dans le body

   * this URL are always empty, since they are not significant for planning a route.
   */
  @get:JvmName("url")
  val url: HttpUrl =
    HttpUrl
      .Builder()
      .scheme(if (sslSocketFactory != null) "https" else "http")
      .host(uriHost)
      .port(uriPort)
      .build()

  /**
   * The protocols the client supports. This method always returns a non-null list that

#  limitations under the License.
#

# https://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-githubs-form-schema

name: Feature request
description: File a proposal for new feature, improvement
labels: ["enhancement"]

body:
  - type: markdown
    attributes:
      value: |

_site_packages_dirs += [p for p in _sys.path if "site-packages" in p]
if "getsitepackages" in dir(_site):
  _site_packages_dirs += _site.getsitepackages()

for _scheme in _sysconfig.get_scheme_names():
  for _name in ["purelib", "platlib"]:
    _site_packages_dirs += [_sysconfig.get_path(_name, _scheme)]

_site_packages_dirs = list(set(_site_packages_dirs))

# Find the location of this exact file.

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

Es wird getestet, ob der String eine gültige URL ist, und als solche wird er in JSON Schema / OpenAPI dokumentiert.

## Attribute mit Listen von Kindmodellen

Sie können Pydantic-Modelle auch als Typen innerhalb von `list`, `set`, usw. verwenden: