}

	if name := DB.Dialector.Name(); name == "postgres" {
		stmt := gorm.Statement{DB: DB}
		stmt.Parse(&Blog{})
		stmt.Schema.LookUpField("ID").Unique = true
		stmt.Parse(&Tag{})
		stmt.Schema.LookUpField("ID").Unique = true
		// postgers only allow unique constraint matching given keys
	}

	quarkus/core/deployment/pom.xml
	quarkus/extensions/jsonp/runtime/pom.xml
quarkus/extensions/schema-registry/confluent/avro/deployment/pom.xml
	quarkus/extensions/schema-registry/confluent/avro/runtime/pom.xml
	quarkus/extensions/avro/deployment/pom.xml
	quarkus/extensions/schema-registry/confluent/common/deployment/pom.xml
	quarkus/extensions/schema-registry/devservice/deployment/pom.xml
quarkus/extensions/kubernetes/kind/deployment/pom.xml

```Python hl_lines="1  7-13  19"
{!../../docs_src/dataclasses/tutorial002.py!}
```

Die Datenklasse wird automatisch in eine Pydantic-Datenklasse konvertiert.

Auf diese Weise wird deren Schema in der Benutzeroberfläche der API-Dokumentation angezeigt:

<img src="/img/tutorial/dataclasses/image01.png">

## Datenklassen in verschachtelten Datenstrukturen

///

Das wird:

* Diesen Statuscode mit der Response zurücksenden.
* Ihn als solchen im OpenAPI-Schema dokumentieren (und somit in den Benutzeroberflächen):

<img src="/img/tutorial/response-status-code/image01.png">

/// note | "Hinweis"

You can also use `dataclasses` in the `response_model` parameter:

{* ../../docs_src/dataclasses/tutorial002.py hl[1,7:13,19] *}

The dataclass will be automatically converted to a Pydantic dataclass.

This way, its schema will show up in the API docs user interface:

<img src="/img/tutorial/dataclasses/image01.png">

## Dataclasses in Nested Data Structures

package schema

import (
	"context"
	"fmt"
	"reflect"
	"regexp"
	"strings"

	"gorm.io/gorm/clause"
	"gorm.io/gorm/utils"
)

var embeddedCacheKey = "embedded_cache_store"

func ParseTagSetting(str string, sep string) map[string]string {
	settings := map[string]string{}
	names := strings.Split(str, sep)

	for i := 0; i < len(names); i++ {
		j := i
		if len(names[j]) > 0 {
			for {

import "k8s.io/api/core/v1/generated.proto";
import "k8s.io/apimachinery/pkg/apis/meta/v1/generated.proto";
import "k8s.io/apimachinery/pkg/runtime/generated.proto";
import "k8s.io/apimachinery/pkg/runtime/schema/generated.proto";

// Package-wide variables from generator "generated".
option go_package = "k8s.io/api/discovery/v1beta1";

// Endpoint represents a single logical "backend" implementing a service.
message Endpoint {

package k8s.io.apimachinery.pkg.apis.testapigroup.v1;

import "k8s.io/apimachinery/pkg/apis/meta/v1/generated.proto";
import "k8s.io/apimachinery/pkg/runtime/generated.proto";
import "k8s.io/apimachinery/pkg/runtime/schema/generated.proto";

// Package-wide variables from generator "generated".
option go_package = "k8s.io/apimachinery/pkg/apis/testapigroup/v1";

            // sitemaps.xml
            buf = new StringBuilder();
            buf.append("<?xml version=\"1.0\" encoding=\"UTF-8\"?>").append('\n');
            buf.append("<urlset ").append("xmlns=\"http://www.sitemaps.org/schemas/sitemap/0.9\">").append('\n');
            buf.append("<url>").append('\n');
            buf.append("<loc>http://localhost:7070/index.html</loc>").append('\n');

            <goals>
              <goal>xdoc</goal>
            </goals>
            <phase>pre-site</phase>
          </execution>
          <execution>
            <id>modello-schema</id>
            <goals>
              <goal>xsd</goal>
            </goals>
            <phase>generate-resources</phase>
          </execution>
          <execution>
            <id>model-v3</id>