Um diese zu deaktivieren, setzen Sie deren URLs beim Erstellen Ihrer `FastAPI`-App auf `None`:

```Python hl_lines="8"
{!../../docs_src/custom_docs_ui/tutorial001.py!}
```

### Die benutzerdefinierten Dokumentationen hinzufügen

Jetzt können Sie die *Pfadoperationen* für die benutzerdefinierten Dokumentationen erstellen.

This part is pretty normal, most of the code is probably already familiar to you:

```Python hl_lines="9-13  36-53"
{!../../docs_src/openapi_callbacks/tutorial001.py!}
```

/// tip

Essa parte é bastante normal, a maior parte do código provavelmente já é familiar para você:

```Python hl_lines="9-13  36-53"
{!../../docs_src/openapi_callbacks/tutorial001.py!}
```

/// tip | Dica

Por exemplo, há uma <a href="https://hub.docker.com/_/python" class="external-link" target="_blank">Imagem Python</a> oficial.

E existe muitas outras imagens para diferentes coisas, como bancos de dados, por exemplo:

* <a href="https://hub.docker.com/_/postgres" class="external-link" target="_blank">PostgreSQL</a>

## `async` and `await`

Modern versions of Python have a very intuitive way to define asynchronous code. This makes it look just like normal "sequential" code and do the "awaiting" for you at the right moments.

When there is an operation that will require waiting before giving the results and has support for these new Python features, you can code it like:

```Python
burgers = await get_burgers(2)
```

# the CACHEBUSTER to the PR number.
build --action_env=CACHEBUSTER=20220325

# Use Python 3.X as installed in container image
build --action_env PYTHON_BIN_PATH="/usr/local/bin/python3"
build --python_path="/usr/local/bin/python3"

# Build TensorFlow v2
build --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1

## Plantilla de FastAPI Full Stack - Tecnología y Características

- ⚡ [**FastAPI**](https://fastapi.tiangolo.com) para el backend API en Python.
    - 🧰 [SQLModel](https://sqlmodel.tiangolo.com) para las interacciones con la base de datos SQL en Python (ORM).
    - 🔍 [Pydantic](https://docs.pydantic.dev), utilizado por FastAPI, para la validación de datos y la gestión de configuraciones.

Primeiro, você tem que importá-lo:

```Python hl_lines="4"
{!../../docs_src/body_fields/tutorial001.py!}
```

/// warning | "Aviso"

Note que `Field` é importado diretamente do `pydantic`, não do `fastapi` como todo o resto (`Query`, `Path`, `Body`, etc).

///

## Declare atributos do modelo

Você pode então utilizar `Field` com atributos do modelo:

```Python hl_lines="11-14"

      - name: Checkout repository
        if: ${{ github.event_name == 'push' }}
        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
      - name: Build binary and run python tests on nightly for all python versions
        shell: bash
        run: |
          is_nightly=0 && tf_project_name='tf_ci_ext' && ${{ github.event_name == 'schedule' }} && is_nightly=1 && tf_project_name='tf_nightly_ci_ext'

    attribute to access the raw standard Python file (blocking, not async), useful and
    needed for non-async code.

    Read more about it in the
    [FastAPI docs for Request Files](https://fastapi.tiangolo.com/tutorial/request-files/).

    ## Example

    ```python
    from typing import Annotated

    from fastapi import FastAPI, File, UploadFile