## Проверьте Сгенерированную Документацию { #check-the-docs }

Вы можете посмотреть query-параметры в графическом интерфейсе сгенерированной документации по пути `/docs`:

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

**FastAPI** **извлечёт** данные для **каждого поля** из **данных формы** в запросе и выдаст вам объявленную Pydantic-модель.

## Проверьте документацию { #check-the-docs }

Вы можете проверить это в интерфейсе документации по адресу `/docs`:

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

## Запрет дополнительных полей формы { #forbid-extra-form-fields }

**FastAPI** **extraerá** los datos para **cada campo** de los **parámetros query** en el request y te proporcionará el modelo de Pydantic que definiste.

## Revisa la Documentación { #check-the-docs }

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 { #forbid-extra-query-parameters }

                It will be included in the generated OpenAPI (e.g. visible at `/docs`).
                """
            ),
        ] = None,
        description: Annotated[
            Optional[str],
            Doc(
                """
                Security scheme description.

                It will be included in the generated OpenAPI (e.g. visible at `/docs`).
                """
            ),
        ] = None,

                owner_html_url=repo.owner.html_url,
            )
        )
    data = [repo.model_dump() for repo in final_repos]

    # Local development
    # repos_path = Path("../docs/en/data/topic_repos.yml")
    repos_path = Path("./docs/en/data/topic_repos.yml")
    repos_old_content = repos_path.read_text(encoding="utf-8")
    new_repos_content = yaml.dump(data, sort_keys=False, width=200, allow_unicode=True)

    assert response.status_code == 200, response.text
    assert response.json() == {"id": "foo", "value": "there goes my hero"}


def test_path_operation_img(client: TestClient):
    shutil.copy("./docs/en/docs/img/favicon.png", "./image.png")
    response = client.get("/items/foo?img=1")
    assert response.status_code == 200, response.text
    assert response.headers["Content-Type"] == "image/png"
    assert len(response.content)

```JSON
{"item_id": 5, "q": "somequery"}
```

## Interactive API docs { #interactive-api-docs }

Now you can go to <a href="http://192.168.99.100/docs" class="external-link" target="_blank">http://192.168.99.100/docs</a> or <a href="http://127.0.0.1/docs" class="external-link" target="_blank">http://127.0.0.1/docs</a> (or equivalent, using your Docker host).

- [Use `mc` with MinIO Server](https://docs.min.io/community/minio-object-store/reference/minio-mc.html)
- [Use `aws-cli` with MinIO Server](https://docs.min.io/community/minio-object-store/integrations/aws-cli-with-minio.html)
- [Use `minio-go` SDK with MinIO Server](https://docs.min.io/community/minio-object-store/developers/go/minio-go.html)

"Mounting" means adding a complete "independent" application in a specific path, that then takes care of handling all the sub-paths.

This is different from using an `APIRouter` as a mounted application is completely independent. The OpenAPI and docs from your main application won't include anything from the mounted application, etc.

You can read more about this in the [Advanced User Guide](../advanced/index.md){.internal-link target=_blank}.

## Details { #details }

#### Utilizando `StreamingResponse` com objetos semelhantes a arquivos { #using-streamingresponse-with-file-like-objects }

Se você tiver um objeto <a href="https://docs.python.org/3/glossary.html#term-file-like-object" class="external-link" target="_blank">semelhante a um arquivo</a> (e.g. o objeto retornado por `open()`), você pode criar uma função geradora para iterar sobre esse objeto.