Fields: []schema.IndexOption{{
				Field: &schema.Field{Name: "Data1A"},
			}, {
				Field: &schema.Field{Name: "Data1B"},
			}, {
				Field: &schema.Field{Name: "Data1C"},
			}},
		},
		{
			Name:  "idx_user_indices_comp_id2",
			Class: "UNIQUE",
			Fields: []schema.IndexOption{{
				Field: &schema.Field{Name: "Data2C"},
			}, {
				Field: &schema.Field{Name: "Data2A"},
			}, {

* <a href="https://json-schema.org/" class="external-link" target="_blank"><strong>JSON Schema</strong></a> (OpenAPI 자체가 JSON Schema를 기반으로 하고 있습니다)를 사용한 자동 데이터 모델 문서화.
* 단순히 떠올려서 덧붙인 기능이 아닙니다. 세심한 검토를 거친 후, 이러한 표준을 기반으로 설계되었습니다.
* 이는 또한 다양한 언어로 자동적인 **클라이언트 코드 생성**을 사용할 수 있게 지원합니다.

### 문서 자동화

					for _, field := range stmt.Schema.PrimaryFields {
						_, isZero = field.ValueOf(stmt.Context, stmt.ReflectValue.Index(i))
						if !isZero {
							break
						}
					}
				}

				if !isZero {
					_, primaryValues := schema.GetIdentityFieldValuesMap(stmt.Context, stmt.ReflectValue, stmt.Schema.PrimaryFields)
					column, values := schema.ToQueryValues("", stmt.Schema.PrimaryFieldDBNames, primaryValues)

		Name2 string `gorm:"uniqueIndex"`
	}

	user, err := schema.Parse(&UserUnique{}, &sync.Map{}, schema.NamingStrategy{})
	if err != nil {
		t.Fatalf("failed to parse user unique, got error %v", err)
	}
	constraints := user.ParseUniqueConstraints()

	results := map[string]schema.UniqueConstraint{
		"uni_user_uniques_name1": {
			Name:  "uni_user_uniques_name1",
			Field: &schema.Field{Name: "Name1", Unique: true},
		},
	}

Ainsi, vous pouvez ajouter des données supplémentaires au schéma généré automatiquement.

Par exemple, vous pouvez décider de lire et de valider la requête avec votre propre code, sans utiliser les fonctionnalités automatiques de validation proposée par Pydantic, mais vous pouvez toujours définir la requête dans le schéma OpenAPI.

Vous pouvez le faire avec `openapi_extra` :

package callbacks

import (
	"fmt"
	"reflect"
	"sort"
	"strings"

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

// parsePreloadMap extracts nested preloads. e.g.
//
//	// schema has a "k0" relation and a "k7.k8" embedded relation
//	parsePreloadMap(schema, map[string][]interface{}{
//		clause.Associations: {"arg1"},
//		"k1":                {"arg2"},
//		"k2.k3":             {"arg3"},

	Priority   int
}

// ParseIndexes parse schema indexes
func (schema *Schema) ParseIndexes() []*Index {
	indexesByName := map[string]*Index{}
	indexes := []*Index{}

	for _, field := range schema.Fields {
		if field.TagSettings["INDEX"] != "" || field.TagSettings["UNIQUEINDEX"] != "" {
			fieldIndexes, err := parseFieldIndexes(field)
			if err != nil {
				schema.err = err
				break
			}

			if r.Name != relation.Name {
				t.Errorf("schema %v relation name expects %v, but got %v", s, r.Name, relation.Name)
			}

			if r.Type != relation.Type {
				t.Errorf("schema %v relation name expects %v, but got %v", s, r.Type, relation.Type)
			}

			if r.Schema.Name != relation.Schema {
				t.Errorf("schema %v relation's schema expects %v, but got %v", s, relation.Schema, r.Schema.Name)
			}

			}
		}

		switch rel.Type {
		case schema.BelongsTo:
			associationDB := association.DB.Session(&Session{})
			tx := associationDB.Model(reflect.New(rel.Schema.ModelType).Interface())

			_, pvs := schema.GetIdentityFieldValuesMap(association.DB.Statement.Context, reflectValue, rel.Schema.PrimaryFields)
			if pcolumn, pvalues := schema.ToQueryValues(rel.Schema.Table, rel.Schema.PrimaryFieldDBNames, pvs); len(pvalues) > 0 {

	"database/sql/driver"
	"reflect"
	"strings"
	"time"

	"gorm.io/gorm/schema"
	"gorm.io/gorm/utils"
)

// prepareValues prepare values slice
func prepareValues(values []interface{}, db *DB, columnTypes []*sql.ColumnType, columns []string) {
	if db.Statement.Schema != nil {
		for idx, name := range columns {
			if field := db.Statement.Schema.LookUpField(name); field != nil {