package schema_test

import (
	"context"
	"database/sql"
	"reflect"
	"sync"
	"testing"
	"time"

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

func TestFieldValuerAndSetter(t *testing.T) {
	var (
		userSchema, _ = schema.Parse(&tests.User{}, &sync.Map{}, schema.NamingStrategy{})
		user          = tests.User{
			Model: gorm.Model{
				ID:        10,
				CreatedAt: time.Now(),

	FieldsByBindName          map[string]*Field // embedded fields is 'Embed.Field'
	FieldsByDBName            map[string]*Field
	FieldsWithDefaultDBValue  []*Field // fields with default value assigned by database
	Relationships             Relationships
	CreateClauses             []clause.Interface
	QueryClauses              []clause.Interface
	UpdateClauses             []clause.Interface
	DeleteClauses             []clause.Interface

### Multiple Applications { #multiple-applications }

In the same server (or servers), there could be **multiple applications**, for example, other API programs or a database.

    //                                                                      ==============
    /**
     * Creates a new access context arranger for database operations.
     * This method provides a dummy implementation as Fess does not use DBFlute extensively.
     *
     * @return a new access context arranger
     */
    @Override

				db.AddError(err)
			}
			return
		}

		// append @id column with value for auto-increment primary key
		// the @id value is correct, when: 1. without setting auto-increment primary key, 2. database AutoIncrementIncrement = 1
		switch values := db.Statement.Dest.(type) {
		case map[string]interface{}:
			values[pkFieldName] = insertID
		case *map[string]interface{}:
			(*values)[pkFieldName] = insertID

every item inside and make sure it is serializable as JSON, using the same [JSON Compatible Encoder](../tutorial/encoder.md){.internal-link target=_blank} explained in the tutorial. This is what allows you to return **arbitrary objects**, for example database models.

But if you are certain that the content that you are returning is **serializable with JSON**, you can pass it directly to the response class and avoid the extra overhead that FastAPI would have by passing your return content through...

 - [Confluence/Jira](https://github.com/codelibs/fess-ds-atlassian)
 - [Box](https://github.com/codelibs/fess-ds-box)
 - [CSV](https://github.com/codelibs/fess-ds-csv)
 - [Database](https://github.com/codelibs/fess-ds-db)
 - [Dropbox](https://github.com/codelibs/fess-ds-dropbox)
 - [Elasticsearch](https://github.com/codelibs/fess-ds-elasticsearch)
 - [Git](https://github.com/codelibs/fess-ds-git)

  ) {
    withLock {
      allocationLimit = settings.getMaxConcurrentStreams()
    }
  }

  override fun handshake(): Handshake? = handshake

  /** Track a bad route in the route database. Other routes will be attempted first. */
  internal fun connectFailed(
    client: OkHttpClient,
    failedRoute: Route,
    failure: IOException,
  ) {

будет корректной для использования в качестве зависимости **FastAPI**.

На самом деле, FastAPI использует эти два декоратора внутренне.

///

## Зависимость базы данных с помощью `yield` { #a-database-dependency-with-yield }

Например, с его помощью можно создать сессию работы с базой данных и закрыть её после завершения.

Перед созданием ответа будет выполнен только код до и включая оператор `yield`:

이 함수들은 `async def` 또는 일반 `def`로 선언할 수 있습니다.

### `startup` 이벤트

애플리케이션이 시작되기 전에 실행되어야 하는 함수를 추가하려면, `"startup"` 이벤트로 선언합니다:

{* ../../docs_src/events/tutorial001.py hl[8] *}

이 경우, `startup` 이벤트 핸들러 함수는 "database"라는 항목(단지 `dict`)을 일부 값으로 초기화합니다.

여러 개의 이벤트 핸들러 함수를 추가할 수 있습니다.

애플리케이션은 모든 `startup` 이벤트 핸들러가 완료될 때까지 요청을 받기 시작하지 않습니다.

### `shutdown` 이벤트

애플리케이션이 종료될 때 실행되어야 하는 함수를 추가하려면, `"shutdown"` 이벤트로 선언합니다: