},
                        "422": {
                            "description": "Validation Error",
                            "content": {
                                "application/json": {
                                    "schema": {
                                        "$ref": "#/components/schemas/HTTPValidationError"

			return
		}

		var (
			pkField     *schema.Field
			pkFieldName = "@id"
		)

		if db.Statement.Schema != nil {
			if db.Statement.Schema.PrioritizedPrimaryField == nil ||
				!db.Statement.Schema.PrioritizedPrimaryField.HasDefaultValue ||
				!db.Statement.Schema.PrioritizedPrimaryField.Readable {
				return
			}
			pkField = db.Statement.Schema.PrioritizedPrimaryField

}

// 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}
		}
	}

Le schéma inclut les chemins de votre API, les paramètres potentiels de chaque chemin, etc.

#### "Schéma" de données

Le terme "schéma" peut aussi faire référence à la forme de la donnée, comme un contenu JSON.

Dans ce cas, cela signifierait les attributs JSON, ainsi que les types de ces attributs, etc.

#### OpenAPI et JSON Schema

                            "required": True,
                            "schema": {"title": "Item Id", "type": "string"},
                            "name": "item_id",
                            "in": "path",
                        },
                        {
                            "required": False,
                            "schema": {
                                "anyOf": [{"type": "boolean"}, {"type": "null"}],

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

                                "schema": {"type": "string", "title": "Session Id"},
                            },
                            {
                                "name": "fatebook_tracker",
                                "in": "cookie",
                                "required": False,
                                "schema": {
                                    "anyOf": [

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"},

                                    "schema": {
                                        "$ref": "#/components/schemas/HTTPValidationError"
                                    }
                                }
                            },
                        },
                    },
                }
            },
        },
        "components": {
            "schemas": {
                "HTTPValidationError": {

	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
			}