platforms/core-configuration/kotlin-dsl-provider-plugins/   @gradle/bt-tide
platforms/core-configuration/kotlin-dsl-tooling-builders/   @gradle/bt-tide
platforms/core-configuration/kotlin-dsl-tooling-models/     @gradle/bt-tide

# Core automation platform (Declarative DSL)
platforms/core-configuration/declarative-dsl-api/                   @gradle/bt-declarative-gradle-project

If you want to secure your API, there are several better things you can do, for example:

* Make sure you have well defined Pydantic models for your request bodies and responses.
* Configure any required permissions and roles using dependencies.
* Never store plaintext passwords, only password hashes.

### Security and authentication { #security-and-authentication }

Security and authentication integrated. Without any compromise with databases or data models.

All the security schemes defined in OpenAPI, including:

* HTTP Basic.
* **OAuth2** (also with **JWT tokens**). Check the tutorial on [OAuth2 with JWT](tutorial/security/oauth2-jwt.md){.internal-link target=_blank}.

<img src="/img/python-types/image06.png">

Notice that this means "`one_person` is an **instance** of the class `Person`".

It doesn't mean "`one_person` is the **class** called `Person`".

## Pydantic models { #pydantic-models }

<a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> is a Python library to perform data validation.

You declare the "shape" of the data as classes with attributes.

			}
		},
	}
	session := DB.Session(&gorm.Session{Logger: tracer})

	DB.Migrator().DropTable(model1)
	var modifySql []string
	if err := session.AutoMigrate(model1); err != nil {
		t.Fatalf("failed to auto migrate, got error: %v", err)
	}
	if err := session.AutoMigrate(model1); err != nil {
		t.Fatalf("failed to auto migrate, got error: %v", err)
	}
	tracer2 := Tracer{

O Pydantic tem um comportamento especial quando você usa `Optional` ou `Union[Something, None]` sem um valor padrão. Você pode ler mais sobre isso na documentação do Pydantic sobre <a href="https://docs.pydantic.dev/2.3/usage/models/#required-fields" class="external-link" target="_blank">campos Opcionais Obrigatórios</a>.

///


## Type Hints com Metadados de Anotações

/**
 * A test which demonstrates maven's recursive inheritance where
 * a distinct value is taken from each parent contributing to
 * the final model of the project being assembled. There is no
 * overriding going on amongst the models being used in this test:
 * each model in the lineage is providing a value that is not present
 * anywhere else in the lineage. We are just making sure that values

    full_name = user_dict["full_name"],
    disabled = user_dict["disabled"],
    hashed_password = user_dict["hashed_password"],
)
```

/// info

🌅 🏁 🔑 `**👩‍💻_ #️⃣ ` ✅ 🔙 [🧾 **➕ 🏷**](../extra-models.md#user_indict){.internal-link target=_blank}.

///

## 📨 🤝

📨 `token` 🔗 🔜 🎻 🎚.

⚫️ 🔜 ✔️ `token_type`. 👆 💼, 👥 ⚙️ "📨" 🤝, 🤝 🆎 🔜 "`bearer`".

* Documentación automática de modelos de datos con <a href="https://json-schema.org/" class="external-link" target="_blank"><strong>JSON Schema</strong></a> (ya que OpenAPI en sí mismo está basado en JSON Schema).

/// tip | Dica

A própria `JSONResponse` é uma subclasse de `Response`.

///

E quando você retorna uma `Response`, o **FastAPI** vai repassá-la diretamente.

Ele não vai fazer conversões de dados com modelos do Pydantic, não irá converter a tipagem de nenhum conteúdo, etc.

Isso te dá bastante flexibilidade. Você pode retornar qualquer tipo de dado, sobrescrever qualquer declaração e validação nos dados, etc.