* <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

}

// TableType table type interface
type TableType interface {
	Schema() string
	Name() string
	Type() string
	Comment() (comment string, ok bool)
}

// Migrator migrator interface
type Migrator interface {
	// AutoMigrate
	AutoMigrate(dst ...interface{}) error

	// Database
	CurrentDatabase() string
	FullDataTypeOf(*schema.Field) clause.Expr
	GetTypeAliases(databaseTypeName string) []string

	// Tables

	return "hello" + string(es), nil
}

type CustomSerializer struct {
	prefix []byte
}

func NewCustomSerializer(prefix string) *CustomSerializer {
	return &CustomSerializer{prefix: []byte(prefix)}
}

	"reflect"
	"sync"
	"testing"

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

type UserWithCallback struct{}

func (UserWithCallback) BeforeSave(*gorm.DB) error {
	return nil
}

func (UserWithCallback) AfterCreate(*gorm.DB) error {
	return nil
}

func TestCallback(t *testing.T) {
	user, err := schema.Parse(&UserWithCallback{}, &sync.Map{}, schema.NamingStrategy{})
	if err != nil {

            OpenAPI-specific examples than the JSON Schema `examples`, that's the main
            use case for this.

            Read more about it in the
            [FastAPI docs for Declare Request Example Data](https://fastapi.tiangolo.com/tutorial/schema-extra-example/#using-the-openapi_examples-parameter).
            """
        ),
    ] = None,

### Generate the OpenAPI schema

Then, use the same utility function to generate the OpenAPI schema, inside a `custom_openapi()` function:

{* ../../docs_src/extending_openapi/tutorial001.py hl[2,15:21] *}

### Modify the OpenAPI schema

Now you can add the ReDoc extension, adding a custom `x-logo` to the `info` "object" in the OpenAPI schema:

{* ../../docs_src/extending_openapi/tutorial001.py hl[22:24] *}

			cacheStore.Store(embeddedCacheKey, true)
			if field.EmbeddedSchema, err = getOrParse(fieldValue.Interface(), cacheStore, embeddedNamer{Table: schema.Table, Namer: schema.namer}); err != nil {
				schema.err = err
			}

			for _, ef := range field.EmbeddedSchema.Fields {
				ef.Schema = schema
				ef.OwnerSchema = field.EmbeddedSchema
				ef.BindNames = append([]string{fieldStruct.Name}, ef.BindNames...)

So, you could add additional data to the automatically generated schema.

For example, you could decide to read and validate the request with your own code, without using the automatic features of FastAPI with Pydantic, but you could still want to define the request in the OpenAPI schema.

You could do that with `openapi_extra`:

```Python hl_lines="19-36  39-40"

)

// TableType table type implements TableType interface
type TableType struct {
	SchemaValue  string
	NameValue    string
	TypeValue    string
	CommentValue sql.NullString
}

// Schema returns the schema of the table.
func (ct TableType) Schema() string {
	return ct.SchemaValue
}

// Name returns the name of the table.
func (ct TableType) Name() string {
	return ct.NameValue
}

// Type returns the type of the table.

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

func SaveBeforeAssociations(create bool) func(db *gorm.DB) {
	return func(db *gorm.DB) {
		if db.Error == nil && db.Statement.Schema != nil {
			selectColumns, restricted := db.Statement.SelectAndOmitColumns(create, !create)

			// Save Belongs To associations
			for _, rel := range db.Statement.Schema.Relationships.BelongsTo {