The proxy headers are:

* <a href="https://developer.mozilla.org/en-US/docs/Web/HTTP/Reference/Headers/X-Forwarded-For" class="external-link" target="_blank">X-Forwarded-For</a>
* <a href="https://developer.mozilla.org/en-US/docs/Web/HTTP/Reference/Headers/X-Forwarded-Proto" class="external-link" target="_blank">X-Forwarded-Proto</a>

{* ../../docs_src/python_types/tutorial010.py hl[6] *}


И снова вы получаете полную поддержку редактора:

<img src="/img/python-types/image06.png">

## Pydantic-модели

<a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> является Python-библиотекой для выполнения валидации данных.

Вы объявляете «форму» данных как классы с атрибутами.

И каждый атрибут имеет тип.

///

## Hướng dẫn nâng cao

Cũng có một **Hướng dẫn nâng cao** mà bạn có thể đọc nó sau **Hướng dẫn sử dụng**.

**Hướng dẫn sử dụng nâng cao**, xây dựng dựa trên cái này, sử dụng các khái niệm tương tự, và dạy bạn những tính năng mở rộng.

Nhưng bạn nên đọc **Hướng dẫn sử dụng** đầu tiên (những gì bạn đang đọc).

        try {
            final Map<String, Object> doc = indexingHelper.getDocument(searchEngineClient, id,
                    new String[] { fessConfig.getIndexFieldThumbnail(), fessConfig.getIndexFieldConfigId() });
            if (doc == null) {
                throw new ThumbnailGenerationException("Document is not found: " + id);
            }
            final String url = DocumentUtil.getValue(doc, fessConfig.getIndexFieldThumbnail(), String.class);

    var docId = button.data("docid");
    var title = button.data("title");
    var url = button.data("url");

    $(this)
      .find(".modal-body #delete-doc-title")
      .text(title);
    $(this)
      .find(".modal-body #delete-doc-url")
      .text(url);
    $(this)
      .find(".modal-footer input#docId")
      .val(docId);
  });

  // Date range picker
  var lang = (

- ⚡ [**FastAPI**](https://fastapi.tiangolo.com) para la API del backend en Python.
    - 🧰 [SQLModel](https://sqlmodel.tiangolo.com) para las interacciones con bases de datos SQL en Python (ORM).
    - 🔍 [Pydantic](https://docs.pydantic.dev), utilizado por FastAPI, para la validación de datos y gestión de configuraciones.
    - 💾 [PostgreSQL](https://www.postgresql.org) como base de datos SQL.
- 🚀 [React](https://react.dev) para el frontend.

## Revisa la Documentación

Puedes ver los parámetros query en la UI de documentación en `/docs`:

<div class="screenshot">
<img src="/img/tutorial/query-param-models/image01.png">
</div>

## Prohibir Parámetros Query Extras

- ⚡ [**FastAPI**](https://fastapi.tiangolo.com) for the Python backend API.
    - 🧰 [SQLModel](https://sqlmodel.tiangolo.com) for the Python SQL database interactions (ORM).
    - 🔍 [Pydantic](https://docs.pydantic.dev), used by FastAPI, for the data validation and settings management.
    - 💾 [PostgreSQL](https://www.postgresql.org) as the SQL database.
- 🚀 [React](https://react.dev) for the frontend.

 <span style="background-color:#C4A000"><font color="#2E3436">│                                                     │</font></span>
 <span style="background-color:#C4A000"><font color="#2E3436">│  API docs: http://127.0.0.1:8000/docs               │</font></span>
 <span style="background-color:#C4A000"><font color="#2E3436">│                                                     │</font></span>

cuda-libraries-dev-12-8
cuda-nvml-dev-12-8
libcufft-12-8
libcurand-12-8
libcusolver-dev-12-8
libcusparse-dev-12-8
libcublas-12-8
libcublas-dev-12-8
libnccl-dev=2.25.1-1+cuda12.8
libnccl2=2.25.1-1+cuda12.8
# CuDNN: https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#ubuntu-network-installation
libcudnn9-dev-cuda-12=9.8.0.87-1