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"},

}

// ParseUniqueConstraints parse schema unique constraints
func (schema *Schema) ParseUniqueConstraints() map[string]UniqueConstraint {
	uniques := make(map[string]UniqueConstraint)
	for _, field := range schema.Fields {
		if field.Unique {
			name := schema.namer.UniqueName(schema.Table, field.DBName)
			uniques[name] = UniqueConstraint{Name: name, Field: field}
		}
	}

	Length     int
	priority   int
}

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

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

		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},
		},
	}

			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)
			}

import (
	"database/sql"
	"database/sql/driver"
	"reflect"
	"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 {

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` :

			}
		}

		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 {

}

func TestParseFieldWithPermission(t *testing.T) {
	user, err := schema.Parse(&UserWithPermissionControl{}, &sync.Map{}, schema.NamingStrategy{})
	if err != nil {
		t.Fatalf("Failed to parse user with permission, got error %v", err)
	}

	fields := []*schema.Field{

		stmt.SetColumn(sd.Field.DBName, curTime, true)

		if stmt.Schema != nil {
			_, queryValues := schema.GetIdentityFieldValuesMap(stmt.Context, stmt.ReflectValue, stmt.Schema.PrimaryFields)
			column, values := schema.ToQueryValues(stmt.Table, stmt.Schema.PrimaryFieldDBNames, queryValues)

			if len(values) > 0 {