if err = json.Unmarshal(reqBytes, &updateReq); err != nil {
		writeErrorResponseJSON(ctx, w, errorCodes.ToAPIErrWithErr(ErrAdminConfigBadJSON, err), r.URL)
		return
	}

	if err := updateReq.Validate(); err != nil {
		// Since this validation would happen client side as well, we only send
		// a generic error message here.
		writeErrorResponseJSON(ctx, w, errorCodes.ToAPIErr(ErrAdminResourceInvalidArgument), r.URL)

    * Sie können tief **verschachtelte JSON** Objekte haben, die alle validiert und annotiert sind.
* **Erweiterbar**:
    * Pydantic erlaubt die Definition von eigenen Datentypen oder sie können die Validierung mit einer `validator`-dekorierten Methode im Modell erweitern.

    * Pydantic, JSON objen ne kadar derin (nested) olursa olsun doğrulamasını ve gösterimini yapıyor
* **Genişletilebilir**:
    * Pydantic özelleştirilmiş data tiplerinin tanımlanmasının yapılmasına izin veriyor ayrıca validator decoratorü ile senin doğrulamaları genişletip, kendi doğrulayıcılarını yazmana izin veriyor.

      headers.add(name, value.toString())
    }

    /**
     * Adds a new header with the name and value. This may be used to add multiple headers with the
     * same name. Unlike [addHeader] this does not validate the name and
     * value.
     */
    fun addHeaderLenient(
      name: String,
      value: Any,
    ) = apply {
      addHeaderLenient(headers, name, value.toString())
    }

## ঐচ্ছিক নির্ভরশীলতা

Pydantic দ্বারা ব্যবহৃত:

- <a href="https://github.com/JoshData/python-email-validator" target="_blank"><code>email-validator</code></a> - ইমেল যাচাইকরণের জন্য।

স্টারলেট দ্বারা ব্যবহৃত:

- <a href="https://www.python-httpx.org" target="_blank"><code>httpx</code></a> - আপনি যদি `TestClient` ব্যবহার করতে চান তাহলে আবশ্যক।

## Opcionális követelmények

Pydantic által használt:

* <a href="https://github.com/JoshData/python-email-validator" target="_blank"><code>email-validator</code></a> - e-mail validációkra.
* <a href="https://docs.pydantic.dev/latest/usage/pydantic_settings/" target="_blank"><code>pydantic-settings</code></a> - Beállítások követésére.

<a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> là một thư viện Python để validate dữ liệu hiệu năng cao.

Bạn có thể khai báo "hình dạng" của dữa liệu như là các lớp với các thuộc tính.

Và mỗi thuộc tính có một kiểu dữ liệu.

    if value is None:
        if field.required:
            return None, [get_missing_field_error(loc=loc)]
        else:
            return deepcopy(field.default), []
    v_, errors_ = field.validate(value, values, loc=loc)
    if isinstance(errors_, ErrorWrapper):
        return None, [errors_]
    elif isinstance(errors_, list):
        new_errors = _regenerate_error_with_loc(errors=errors_, loc_prefix=())

## Àṣàyàn Àwọn Àfikún Ìgbẹ́kẹ̀lé Kóòdù

Èyí tí Pydantic ń lò:

* <a href="https://github.com/JoshData/python-email-validator" target="_blank"><code>email-validator</code></a> - fún ifọwọsi ímeèlì.
* <a href="https://docs.pydantic.dev/latest/usage/pydantic_settings/" target="_blank"><code>pydantic-settings</code></a> - fún ètò ìsàkóso.

## نیازمندی‌های اختیاری

استفاده شده توسط Pydantic:

* <a href="https://github.com/JoshData/python-email-validator" target="_blank"><code>email-validator</code></a> - برای اعتبارسنجی آدرس‌های ایمیل.

استفاده شده توسط Starlette: