return
		}

		if db.Statement.Schema != nil {
			for _, c := range db.Statement.Schema.DeleteClauses {
				db.Statement.AddClause(c)
			}
		}

		if db.Statement.SQL.Len() == 0 {
			db.Statement.SQL.Grow(100)
			db.Statement.AddClauseIfNotExists(clause.Delete{})

			if db.Statement.Schema != nil {

				case reflect.Slice:
					queryFields = db.Statement.ReflectValue.Type().Elem() != db.Statement.Schema.ModelType
				}
			}

			if queryFields {
				stmt := gorm.Statement{DB: db}
				// smaller struct
				if err := stmt.Parse(db.Statement.Dest); err == nil && (db.QueryFields || stmt.Schema.ModelType != db.Statement.Schema.ModelType) {

                    "schema": {
                        "$ref": "#/components/schemas/Message"
                    }
                }
            }
        },
        "200": {
            "description": "Successful Response",
            "content": {
                "application/json": {
                    "schema": {
                        "$ref": "#/components/schemas/Item"
                    }

	}

	checkUserSchema(t, user)
}

func checkUserSchema(t *testing.T, user *schema.Schema) {
	// check schema
	checkSchema(t, user, &schema.Schema{Name: "User", Table: "users"}, []string{"ID"})

	// check fields
	fields := []schema.Field{

			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"},
			}, {

					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` :

### Same Schema for Input and Output Models in Docs { #same-schema-for-input-and-output-models-in-docs }

And now there will be one single schema for input and output for the model, only `Item`, and it will have `description` as **not required**:

<div class="screenshot">
<img src="/img/tutorial/separate-openapi-schemas/image05.png">
</div>

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"},