}

        public long getTimeout() {
            return timeout;
        }

        public void setItems(List<String> items) {
            this.items = items;
        }

        public List<String> getItems() {
            return items;
        }

        public void setProperties(Map<String, String> properties) {
            this.properties = properties;
        }

And Python has a special data type for sets of unique items, the `set`.

Then we can declare `tags` as a set of strings:

{* ../../docs_src/body_nested_models/tutorial003_py310.py hl[12] *}

With this, even if you receive a request with duplicate data, it will be converted to a set of unique items.

And whenever you output that data, even if the source had duplicates, it will be output as a set of unique items.

    }

    /**
     * Returns the last ExecutionPlanItem in the supplied phase. If no items are in the specified phase,
     * the closest executionPlanItem from an earlier phase item will be returned.
     *
     * @param requestedPhase the requested phase
     *                       The execution plan item
     * @return The ExecutionPlanItem or null if none can be found
     */

                    "message": {
                        "title": "Message",
                        "type": "string"
                    }
                }
            },
            "Item": {
                "title": "Item",
                "required": [
                    "id",
                    "value"
                ],
                "type": "object",
                "properties": {

	tx.AutoMigrate(&ItemParent{}, &ItemChild{})

	item := ItemChild{
		Name: "name",
		ItemParent: ItemParent{
			Logo: "logo",
		},
	}
	if err := tx.Create(&item).Error; err != nil {
		t.Fatalf("failed to create items, got error: %v", err)
	}

	// test replace
	if err := tx.Model(&item).Association("ItemParent").Unscoped().Replace(&ItemParent{
		Logo: "updated logo",

```

1. 本例依然要从标准的 `dataclasses` 中导入 `field`；

2. 使用 `pydantic.dataclasses` 直接替换 `dataclasses`；

3. `Author` 数据类包含 `Item` 数据类列表；

4. `Author` 数据类用于 `response_model` 参数；

5. 其它带有数据类的标准类型注解也可以作为请求体；

    本例使用的是 `Item` 数据类列表；

6. 这行代码返回的是包含 `items` 的字典，`items` 是数据类列表；

    FastAPI 仍能把数据<abbr title="把数据转换为可以传输的格式">序列化</abbr>为 JSON；

7. 这行代码中，`response_model` 的类型注解是 `Author` 数据类列表；

* busca el subpaquete `routers` (el directorio en `app/routers/`)...
* y de él, importa el submódulo `items` (el archivo en `app/routers/items.py`) y `users` (el archivo en `app/routers/users.py`)...

El módulo `items` tendrá una variable `router` (`items.router`). Este es el mismo que creamos en el archivo `app/routers/items.py`, es un objeto `APIRouter`.

Y luego hacemos lo mismo para el módulo `users`.

In vielen Fällen wird Ihre FastAPI-App größer sein und Sie werden wahrscheinlich Tags verwenden, um verschiedene Gruppen von *Pfadoperationen* zu separieren.

Zum Beispiel könnten Sie einen Abschnitt für **Items (Artikel)** und einen weiteren Abschnitt für **Users (Benutzer)** haben, und diese könnten durch Tags getrennt sein:

{* ../../docs_src/generate_clients/tutorial002_py39.py hl[21,26,34] *}

Em muitos casos, sua aplicação FastAPI será maior, e você provavelmente usará tags para separar diferentes grupos de *operações de rota*.

Por exemplo, você poderia ter uma seção para **items** e outra seção para **users**, e elas poderiam ser separadas por tags:

{* ../../docs_src/generate_clients/tutorial002_py39.py hl[21,26,34] *}

maven.user.conf         = ${user.home}/.m2
maven.project.conf      = ${session.rootDirectory}/.mvn

# Comma-separated list of files to include.
# Each item may be enclosed in quotes to gracefully include spaces. Items are trimmed before being loaded.
# If the first character of an item is a question mark, the load will silently fail if the file does not exist.
${includes} = ?"${maven.user.conf}/maven-system.properties", \