data = b64decode(param).decode("ascii")
        except (ValueError, UnicodeDecodeError, binascii.Error):
            raise invalid_user_credentials_exc  # noqa: B904
        username, separator, password = data.partition(":")
        if not separator:
            raise invalid_user_credentials_exc
        return HTTPBasicCredentials(username=username, password=password)


class HTTPBearer(HTTPBase):
    """

                """
            ),
        ],
        scope: Annotated[
            str,
            Form(),
            Doc(
                """
                A single string with actually several scopes separated by spaces. Each
                scope is also a string.

                For example, a single string with:

                ```python
                "items:read items:write users:read profile openid"

## FastAPI App with Tags

In many cases your FastAPI app will be bigger, and you will probably use tags to separate different groups of *path operations*.

For example, you could have a section for **items** and another section for **users**, and they could be separated by tags:

=== "Python 3.9+"

    ```Python hl_lines="21  26  34"
    {!> ../../../docs_src/generate_clients/tutorial002_py39.py!}

    page.screenshot(
        path="docs/en/docs/img/tutorial/separate-openapi-schemas/image03.png"
    )

    # ---------------------
    context.close()
    browser.close()


process = subprocess.Popen(
    ["uvicorn", "docs_src.separate_openapi_schemas.tutorial001:app"]
)
try:
    with sync_playwright() as playwright:
        run(playwright)
finally:

# Tutorial - Guia de Usuário

Esse tutorial mostra como usar o **FastAPI** com a maior parte de seus recursos, passo a passo.

Cada seção constrói, gradualmente, sobre as anteriores, mas sua estrutura são tópicos separados, para que você possa ir a qualquer um específico e resolver suas necessidades específicas de API.

Ele também foi feito como referência futura.

Então você poderá voltar e ver exatamente o que precisar.

## Rode o código

* **Flower** para monitoração de tarefas Celery.
* Balanceamento de carga entre _frontend_ e _backend_ com **Traefik**, então você pode ter ambos sob o mesmo domínio, separados por rota, mas servidos por diferentes containers.
* Integração Traefik, incluindo geração automática de certificados **HTTPS** Let's Encrypt.
* GitLab **CI** (integração contínua), incluindo testes _frontend_ e _backend_.

Dieser ganze Erneuerungsprozess, während die Anwendung weiterhin bereitgestellt wird, ist einer der Hauptgründe, warum Sie ein **separates System zur Verarbeitung von HTTPS** mit einem TLS-Terminierungsproxy haben möchten, anstatt einfach die TLS-Zertifikate direkt mit dem Anwendungsserver zu verwenden (z. B. Uvicorn).

## Zusammenfassung

```

...the path would be:

```
/items/foo
```

!!! info
    A "path" is also commonly called an "endpoint" or a "route".

While building an API, the "path" is the main way to separate "concerns" and "resources".

#### Operation

"Operation" here refers to one of the HTTP "methods".

One of:

* `POST`
* `GET`
* `PUT`
* `DELETE`

...and the more exotic ones:

!!! check "Inspired **FastAPI** to"

    page.get_by_role("button", name="Execute").click()
    page.screenshot(
        path="docs/en/docs/img/tutorial/separate-openapi-schemas/image02.png"
    )

    # ---------------------
    context.close()
    browser.close()


process = subprocess.Popen(
    ["uvicorn", "docs_src.separate_openapi_schemas.tutorial001:app"]
)
try:
    with sync_playwright() as playwright:
        run(playwright)
finally: