🔜, Pydantic *🏷* 👂, `Item` & `User`, 🚮 🔗 `Config` 🎓.

👉 <a href="https://docs.pydantic.dev/latest/api/config/" class="external-link" target="_blank">`Config`</a> 🎓 ⚙️ 🚚 📳 Pydantic.

`Config` 🎓, ⚒ 🔢 `orm_mode = True`.

=== "🐍 3️⃣.6️⃣ &amp; 🔛"

    ```Python hl_lines="15  19-20  31  36-37"
    {!> ../../../docs_src/sql_databases/sql_app/schemas.py!}
    ```

=== "🐍 3️⃣.9️⃣ &amp; 🔛"

Тогда для `Query` укажите параметр `deprecated=True`:

=== "Python 3.10+"

    ```Python hl_lines="19"
    {!> ../../../docs_src/query_params_str_validations/tutorial010_an_py310.py!}
    ```

=== "Python 3.9+"

    ```Python hl_lines="19"

!!! info "Информация"
    Вы также можете использовать:

    * `response_model_exclude_defaults=True`
    * `response_model_exclude_none=True`

    как описано в <a href="https://docs.pydantic.dev/latest/concepts/serialization/#modeldict" class="external-link" target="_blank">документации Pydantic</a> для параметров `exclude_defaults` и `exclude_none`.

```Python
item: Item = Body(embed=True)
```

так же, как в этом примере:

=== "Python 3.10+"

    ```Python hl_lines="17"
    {!> ../../../docs_src/body_multiple_params/tutorial005_an_py310.py!}
    ```

=== "Python 3.9+"

But recent versions of Pydantic allow providing a custom class that inherits from `pydantic.utils.GetterDict`, to provide the functionality used when using the `orm_mode = True` to retrieve the values for ORM model attributes.

We are going to create a custom `PeeweeGetterDict` class and use it in all the same Pydantic *models* / schemas that use `orm_mode`:

```Python hl_lines="3  8-13  31  49"

You have to leave it there a while because there are clients using it, but you want the docs to clearly show it as <abbr title="obsolete, recommended not to use it">deprecated</abbr>.

Then pass the parameter `deprecated=True` to `Query`:

=== "Python 3.10+"

    ```Python hl_lines="19"
    {!> ../../../docs_src/query_params_str_validations/tutorial010_an_py310.py!}
    ```

=== "Python 3.9+"

---

"_Chúng tôi tích hợp thư viện **FastAPI** để sinh ra một **REST** server, nó có thể được truy vấn để thu được những **dự đoán**._ [bởi Ludwid] "

Although the hierarchical dependency injection system is very simple to define and use, it's still very powerful.

You can define dependencies that in turn can define dependencies themselves.

In the end, a hierarchical tree of dependencies is built, and the **Dependency Injection** system takes care of solving all these dependencies for you (and their sub-dependencies) and providing (injecting) the results at each step.

    !!! tip
        Prefer to use the `Annotated` version if possible.

    ```Python hl_lines="128-134"
    {!> ../../../docs_src/security/tutorial005.py!}
    ```

## Dependency tree and scopes

Let's review again this dependency tree and the scopes.

✋️ ⏮️ ⏬ Pydantic ✔ 🚚 🛃 🎓 👈 😖 ⚪️➡️ `pydantic.utils.GetterDict`, 🚚 🛠️ ⚙️ 🕐❔ ⚙️ `orm_mode = True` 🗃 💲 🐜 🏷 🔢.

👥 🔜 ✍ 🛃 `PeeweeGetterDict` 🎓 & ⚙️ ⚫️ 🌐 🎏 Pydantic *🏷* / 🔗 👈 ⚙️ `orm_mode`:

```Python hl_lines="3  8-13  31  49"
{!../../../docs_src/sql_databases_peewee/sql_app/schemas.py!}
```