#      createdBefore: "date" # match objects created before "date"

      ## NOTE: tags are not supported when "source" is remote.
      tags:
         - key: "name"
           value: "pick*" # match objects with tag 'name', with all values starting with 'pick'

      metadata:
         - key: "content-type"
           value: "image/*" # match objects with 'content-type', with all values starting with 'image/'

#    notify:

			<integer>10</integer>
		</dict>
		<key>ResourceRules.plist</key>
		<dict>
			<key>omit</key>
			<true/>
			<key>weight</key>
			<integer>100</integer>
		</dict>
	</dict>
</dict>
</plist>

/// info | Información

En Pydantic v1 el método se llamaba `.dict()`, fue deprecado (pero aún soportado) en Pydantic v2, y renombrado a `.model_dump()`.

Los ejemplos aquí usan `.dict()` para compatibilidad con Pydantic v1, pero deberías usar `.model_dump()` si puedes usar Pydantic v2.

///

Eso generaría un `dict` solo con los datos que se establecieron al crear el modelo `item`, excluyendo los valores por defecto.

/// info

In Pydantic v1 hieß diese Methode `.dict()`, in Pydantic v2 wurde sie deprecated (aber immer noch unterstützt) und in `.model_dump()` umbenannt.

Die Beispiele hier verwenden `.dict()` für die Kompatibilität mit Pydantic v1, Sie sollten jedoch stattdessen `.model_dump()` verwenden, wenn Sie Pydantic v2 verwenden können.

///

| ![Dashboard](https://github.com/minio/minio/blob/master/docs/screenshots/pic1.png?raw=true) | ![Dashboard](https://github.com/minio/minio/blob/master/docs/screenshots/pic2.png?raw=true) |

## Test using MinIO Client `mc`

Before diving deeper into the **Dependency Injection** system, let's upgrade the previous example.

## A `dict` from the previous example { #a-dict-from-the-previous-example }

In the previous example, we were returning a `dict` from our dependency ("dependable"):

{* ../../docs_src/dependencies/tutorial001_an_py310.py hl[9] *}

But then we get a `dict` in the parameter `commons` of the *path operation function*.

🚥 👆 💚 📨 🍕 ℹ, ⚫️ 📶 ⚠ ⚙️ 🔢 `exclude_unset` Pydantic 🏷 `.dict()`.

💖 `item.dict(exclude_unset=True)`.

👈 🔜 🏗 `dict` ⏮️ 🕴 💽 👈 ⚒ 🕐❔ 🏗 `item` 🏷, 🚫 🔢 💲.

⤴️ 👆 💪 ⚙️ 👉 🏗 `dict` ⏮️ 🕴 💽 👈 ⚒ (📨 📨), 🚫 🔢 💲:

{* ../../docs_src/body_updates/tutorial002.py hl[34] *}

### ⚙️ Pydantic `update` 🔢

🔜, 👆 💪 ✍ 📁 ♻ 🏷 ⚙️ `.copy()`, & 🚶‍♀️ `update` 🔢 ⏮️ `dict` ⚗ 💽 ℹ.

💖 `stored_item_model.copy(update=update_data)`:

 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.app.web.admin.dict;

import org.codelibs.fess.annotation.Secured;
import org.codelibs.fess.app.web.base.FessAdminAction;
import org.codelibs.fess.dict.DictionaryFile;
import org.codelibs.fess.dict.DictionaryItem;
import org.codelibs.fess.dict.DictionaryManager;
import org.codelibs.fess.util.RenderDataUtil;
import org.lastaflute.web.Execute;

같은 방식으로 이 데이터베이스는 Pydantic 모델(속성이 있는 객체)을 받지 않고, `dict` 만을 받습니다.

이를 위해 `jsonable_encoder` 를 사용할 수 있습니다.

Pydantic 모델과 같은 객체를 받고 JSON 호환 가능한 버전으로 반환합니다:

{* ../../docs_src/encoder/tutorial001.py hl[5,22] *}

이 예시는 Pydantic 모델을 `dict`로, `datetime` 형식을 `str`로 변환합니다.

이렇게 호출한 결과는 파이썬 표준인 <a href="https://docs.python.org/3/library/json.html#json.dumps" class="external-link" target="_blank">`json.dumps()`</a>로 인코딩 할 수 있습니다.

Pydantic 버전 2에서 <a href="https://docs.pydantic.dev/latest/usage/model_config/" class="external-link" target="_blank">Pydantic 공식 문서: Model Config</a>에 나와 있는 것처럼 `dict`를 받는 `model_config` 어트리뷰트를 사용할 것입니다.

`"json_schema_extra"`를 생성된 JSON 스키마에서 보여주고 싶은 별도의 데이터와 `examples`를 포함하는 `dict`으로 설정할 수 있습니다.

////

//// tab | Pydantic v1