Ayrıca, Pydantic modelleri de döndürebilirsiniz (bu konu ileriki aşamalarda irdelenecektir).

Otomatik olarak JSON'a dönüştürülecek (ORM'ler vb. dahil) başka birçok nesne ve model vardır. En beğendiklerinizi kullanmayı deneyin, yüksek ihtimalle destekleniyordur.

## Özet

* `FastAPI`'yı projemize dahil ettik.
* Bir `app` örneği oluşturduk.

    val prefix = testType.prefix
    val sourceSet = the<SourceSetContainer>().getByName("${prefix}Test")

    // We apply lazy as we don't want to depend on the order
    plugins.withType<IdeaPlugin> {
        with(model) {
            module {
                testSources.from(sourceSet.java.srcDirs, sourceSet.the<GroovySourceDirectorySet>().srcDirs)
                testResources.from(sourceSet.resources.srcDirs)
            }
        }

Sie können einen „Closing“-Code verwenden, aus den <a href="https://tools.ietf.org/html/rfc6455#section-7.4.1" class="external-link" target="_blank">gültigen Codes, die in der Spezifikation definiert sind</a>.

///

### WebSockets mit Abhängigkeiten ausprobieren { #try-the-websockets-with-dependencies }

import java.util.stream.Stream;

import org.apache.maven.api.annotations.Experimental;
import org.apache.maven.api.annotations.Immutable;
import org.apache.maven.api.annotations.Nonnull;
import org.apache.maven.api.model.Plugin;

/**
 * A Maven lifecycle is a sequence of predefined phases that govern the build process
 * of a Maven project. Each phase represents a specific step, such as compiling the

    "testId" : "org.gradle.performance.regression.java.JavaIDEModelPerformanceTest.get IDE model for Eclipse",
    "groups" : [ {
      "testProject" : "largeJavaMultiProject",
      "coverage" : {
        "per_commit" : [ "linux" ]
      }
    } ]
  }, {
    "testId" : "org.gradle.performance.regression.java.JavaIDEModelPerformanceTest.get IDE model for IDEA",
    "groups" : [ {
      "testProject" : "largeJavaMultiProject",

{{- if eq .Values.mode "standalone" }}
{{ $scheme := .Values.tls.enabled | ternary "https" "http" }}
{{ $bucketRoot := or ($.Values.bucketRoot) ($.Values.mountPath) }}
apiVersion: {{ template "minio.deployment.apiVersion" . }}
kind: Deployment
metadata:
  name: {{ template "minio.fullname" . }}
  labels:
    app: {{ template "minio.name" . }}
    chart: {{ template "minio.chart" . }}
    release: {{ .Release.Name }}
    heritage: {{ .Release.Service }}

* callback hell: callback hell (clarify as `ад обратных вызовов`)
* on the fly: на лету
* scratch the surface: поверхностно ознакомиться
* tip: совет (or `подсказка` depending on context)
* Pydantic model: Pydantic-модель (`модель Pydantic` and `Pydantic модель` are also fine)
* declare: объявить
* have the next best performance, after: быть на следующем месте по производительности после

Mas se você tem um monte de dataclasses por aí, este é um truque legal para usá-las para alimentar uma API web usando FastAPI. 🤓

///

## Dataclasses em `response_model` { #dataclasses-in-response-model }

Você também pode usar `dataclasses` no parâmetro `response_model`:

{* ../../docs_src/dataclasses_/tutorial002_py310.py hl[1,6:12,18] *}

A dataclass será automaticamente convertida para uma dataclass Pydantic.

Pero si tienes un montón de dataclasses por ahí, este es un buen truco para usarlos para potenciar una API web usando FastAPI. 🤓

///

## Dataclasses en `response_model` { #dataclasses-in-response-model }

También puedes usar `dataclasses` en el parámetro `response_model`:

{* ../../docs_src/dataclasses_/tutorial002_py310.py hl[1,6:12,18] *}

El dataclass será automáticamente convertido a un dataclass de Pydantic.

			tx = tx.merge(*v.XferRateSml)
		}
	}
	qs.XferStats[Total] = *tx
	return qs
}

// ReplicationQueueStats holds overall queue stats for replication
type ReplicationQueueStats struct {
	Nodes  []ReplQNodeStats `json:"nodes"`
	Uptime int64            `json:"uptime"`