import org.codelibs.fess.app.web.CrudMode;
import org.codelibs.fess.app.web.admin.dict.mapping.UploadForm;
import org.codelibs.fess.app.web.api.ApiResult;
import org.codelibs.fess.app.web.api.admin.FessApiAdminAction;
import org.codelibs.fess.dict.mapping.CharMappingFile;
import org.codelibs.fess.dict.mapping.CharMappingItem;
import org.lastaflute.web.Execute;
import org.lastaflute.web.response.JsonResponse;

import org.codelibs.fess.app.web.CrudMode;
import org.codelibs.fess.app.web.admin.dict.stemmeroverride.UploadForm;
import org.codelibs.fess.app.web.api.ApiResult;
import org.codelibs.fess.app.web.api.admin.FessApiAdminAction;
import org.codelibs.fess.dict.stemmeroverride.StemmerOverrideFile;
import org.codelibs.fess.dict.stemmeroverride.StemmerOverrideItem;
import org.lastaflute.web.Execute;

The same way, this database wouldn't receive a Pydantic model (an object with attributes), only a `dict`.

You can use `jsonable_encoder` for that.

It receives an object, like a Pydantic model, and returns a JSON compatible version:

{* ../../docs_src/encoder/tutorial001_py310.py hl[4,21] *}

In this example, it would convert the Pydantic model to a `dict`, and the `datetime` to a `str`.

import org.codelibs.fess.app.web.CrudMode;
import org.codelibs.fess.app.web.admin.dict.synonym.UploadForm;
import org.codelibs.fess.app.web.api.ApiResult;
import org.codelibs.fess.app.web.api.admin.FessApiAdminAction;
import org.codelibs.fess.dict.synonym.SynonymFile;
import org.codelibs.fess.dict.synonym.SynonymItem;
import org.lastaflute.web.Execute;
import org.lastaflute.web.response.JsonResponse;

#### 別のモデルからつくるPydanticモデル

上述の例では`user_in.dict()`から`user_dict`をこのコードのように取得していますが:

```Python
user_dict = user_in.dict()
UserInDB(**user_dict)
```

これは以下と同等です:

```Python
UserInDB(**user_in.dict())
```

...なぜなら`user_in.dict()`は`dict`であり、`**`を付与して`UserInDB`を渡してPythonに「展開」させているからです。

そこで、別のPydanticモデルのデータからPydanticモデルを取得します。

#### `dict`の展開と追加引数

# Codificador Compatível com JSON

Existem alguns casos em que você pode precisar converter um tipo de dados (como um modelo Pydantic) para algo compatível com JSON (como um `dict`, `list`, etc).

Por exemplo, se você precisar armazená-lo em um banco de dados.

Para isso, **FastAPI** fornece uma função `jsonable_encoder()`.

## Usando a função `jsonable_encoder`

        @app.get("/items/")
        def read_items(q: Dict[str, Item] = Query(default=None)):
            pass  # pragma: no cover


def test_invalid_simple_dict():
    with pytest.raises(AssertionError):
        app = FastAPI()

        class Item(BaseModel):
            title: str

        @app.get("/items/")
        def read_items(q: Optional[dict] = Query(default=None)):

    ) -> Any:
        return {}

    def get_model_definitions(
        *,
        flat_models: Set[Union[Type[BaseModel], Type[Enum]]],
        model_name_map: Dict[Union[Type[BaseModel], Type[Enum]], str],
    ) -> Dict[str, Any]:
        definitions: Dict[str, Dict[str, Any]] = {}
        for model in flat_models:
            m_schema, m_definitions, m_nested_models = model_process_schema(

在某些情况下，您可能需要将数据类型（如Pydantic模型）转换为与JSON兼容的数据类型（如`dict`、`list`等）。

比如，如果您需要将其存储在数据库中。

对于这种要求， **FastAPI**提供了`jsonable_encoder()`函数。

## 使用`jsonable_encoder`

让我们假设你有一个数据库名为`fake_db`，它只能接收与JSON兼容的数据。

例如，它不接收`datetime`这类的对象，因为这些对象与JSON不兼容。

因此，`datetime`对象必须将转换为包含<a href="https://en.wikipedia.org/wiki/ISO_8601" class="external-link" target="_blank">ISO格式化</a>的`str`类型对象。

同样，这个数据库也不会接收Pydantic模型（带有属性的对象），而只接收`dict`。

对此你可以使用`jsonable_encoder`。

import types
from enum import Enum
from typing import Any, Callable, Dict, Set, Type, TypeVar, Union

from pydantic import BaseModel

DecoratedCallable = TypeVar("DecoratedCallable", bound=Callable[..., Any])
UnionType = getattr(types, "UnionType", Union)
ModelNameMap = Dict[Union[Type[BaseModel], Type[Enum]], str]