///

## Кілька моделей { #multiple-models }

Ось загальна ідея того, як можуть виглядати моделі з їхніми полями пароля та місцями використання:

{* ../../docs_src/extra_models/tutorial001_py310.py hl[7,9,14,20,22,27:28,31:33,38:39] *}

### Про `**user_in.model_dump()` { #about-user-in-model-dump }

#### `.model_dump()` у Pydantic { #pydantics-model-dump }

`user_in` - це модель Pydantic класу `UserIn`.

**FastAPI** ile bir *path operation* oluşturduğunuzda, normalde ondan herhangi bir veri döndürebilirsiniz: bir `dict`, bir `list`, bir Pydantic model, bir veritabanı modeli vb.

Bir [Response Model](../tutorial/response-model.md) deklare ederseniz, FastAPI veriyi Pydantic kullanarak JSON'a serialize etmek için bunu kullanır.

	}

	if DB.Model(&hamster2).Association("OtherToy").Count() != 1 {
		t.Errorf("Hamster's toys count should be 1 after Append")
	}

	// Replace
	DB.Model(&hamster).Association("PreferredToy").Replace(&Toy{
		Name: "bike 3",
	})

	DB.Model(&hamster).Association("OtherToy").Replace(&Toy{
		Name: "treadmill 3",
	})

	hamsterToy = Toy{}

Pydantic modelleri için editor desteğini şu açılardan iyileştirir:

* auto-completion
* type checks
* refactoring
* searching
* inspections

///

## Modeli kullanın { #use-the-model }

Fonksiyonun içinde model nesnesinin tüm attribute'larına doğrudan erişebilirsiniz:

{* ../../docs_src/body/tutorial002_py310.py *}

## Request body + path parametreleri { #request-body-path-parameters }

import gradlebuild.docs.dsl.source.TypeNameResolver
import gradlebuild.docs.dsl.source.model.ClassMetaData
import gradlebuild.docs.model.ClassMetaDataRepository
import org.w3c.dom.Document

class DslDocModel {
    private final File classDocbookDir
    private final Document document
    private final Map<String, gradlebuild.docs.dsl.docbook.model.ClassDoc> classes = [:]
    private final ClassMetaDataRepository<ClassMetaData> classMetaData

	DB.Find(&user2, "id = ?", user.ID)
	DB.Model(&user2).Association("Pets").Find(&user2.Pets)
	CheckUser(t, user2, user)

	var pets []Pet
	DB.Model(&user).Where("name = ?", user.Pets[0].Name).Association("Pets").Find(&pets)

	if len(pets) != 1 {
		t.Fatalf("should only find one pets, but got %v", len(pets))
	}

	CheckPet(t, pets[0], *user.Pets[0])

	// Find
	var user2 User
	DB.Find(&user2, "id = ?", user.ID)
	DB.Model(&user2).Association("Languages").Find(&user2.Languages)

	CheckUser(t, user2, user)

	// Count
	AssertAssociationCount(t, user, "Languages", 2, "")

	// Append
	language := Language{Code: "language-many2many-append", Name: "language-many2many-append"}
	DB.Create(&language)

	if err := DB.Model(&user2).Association("Languages").Append(&language); err != nil {

from pydantic import BaseModel


class Model(BaseModel):
    name: str


app = FastAPI()


@app.get("/valid1", responses={"500": {"model": int}})
def valid1():
    pass


@app.get("/valid2", responses={"500": {"model": list[int]}})
def valid2():
    pass


@app.get("/valid3", responses={"500": {"model": Model}})
def valid3():
    pass

Pydantic ne prend pas en charge le fait d'avoir un modèle Pydantic v2 contenant des champs eux-mêmes définis comme des modèles Pydantic v1, et inversement.

```mermaid
graph TB
    subgraph "❌ Not Supported"
        direction TB
        subgraph V2["Pydantic v2 Model"]
            V1Field["Pydantic v1 Model"]
        end
        subgraph V1["Pydantic v1 Model"]
            V2Field["Pydantic v2 Model"]
        end
    end

	} else {
		for _, rel := range relations {
			checkSchemaRelation(t, s, rel)
		}
	}
}

func TestBelongsToOverrideForeignKey(t *testing.T) {
	type Profile struct {
		gorm.Model
		Name string
	}

	type User struct {
		gorm.Model
		Profile      Profile `gorm:"ForeignKey:ProfileRefer"`
		ProfileRefer int
	}

	checkStructRelation(t, &User{}, Relation{