**FastAPI** will **extract** the data for **each field** from the **headers** in the request and give you the Pydantic model you defined.

## Check the Docs { #check-the-docs }

You can see the required headers in the docs UI at `/docs`:

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

## Forbid Extra Headers { #forbid-extra-headers }

		return nil, fmt.Errorf("'%s' does not start with '%s'", rangeString, byteRangePrefix)
	}

	// Trim byte range prefix.
	byteRangeString := strings.TrimPrefix(rangeString, byteRangePrefix)

	// Check if range string contains delimiter '-', else return error. eg. "bytes=8"
	sepIndex := strings.Index(byteRangeString, "-")
	if sepIndex == -1 {
		return nil, fmt.Errorf("'%s' does not have a valid range value", rangeString)
	}

////

## Terms used in the docs { #terms-used-in-the-docs }

//// tab | Test

* you
* your

* e.g.
* etc.

* `foo` as an `int`
* `bar` as a `str`
* `baz` as a `list`

* the Tutorial - User guide
* the Advanced User Guide
* the SQLModel docs
* the API docs
* the automatic docs

* Data Science

		if getRequestAuthType(r) == authTypeAnonymous {
			// As per "Permission" section in
			// https://docs.aws.amazon.com/AmazonS3/latest/API/RESTObjectGET.html
			// If the object you request does not exist,
			// the error Amazon S3 returns depends on
			// whether you also have the s3:ListBucket
			// permission.
			// * If you have the s3:ListBucket permission

    indirect=True,
)
def test_fix(runner: CliRunner, root_dir: Path, copy_test_files):
    result = runner.invoke(
        cli,
        ["fix-pages", "docs/lang/docs/doc.md"],
    )
    assert result.exit_code == 0, result.output

    fixed_content = (root_dir / "docs" / "lang" / "docs" / "doc.md").read_text("utf-8")
    expected_content = (data_path / "translated_doc_expected.md").read_text("utf-8")
    assert fixed_content == expected_content

### Processos Múltiplos - Um Exemplo { #multiple-processes-an-example }

Neste exemplo, há um **Processo Gerenciador** que inicia e controla dois **Processos de Trabalhadores**.

Este Processo de Gerenciador provavelmente seria o que escutaria na **porta** no IP. E ele transmitiria toda a comunicação para os processos de trabalho.

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

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

Exécutez maintenant la commande `fastapi` :

<div class="termy">

```console
$ fastapi dev

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
```

</div>

Et ouvrez la documentation à [http://127.0.0.1:8000/docs](http://127.0.0.1:8000/docs).

    context = browser.new_context(viewport={"width": 960, "height": 1080})
    page = context.new_page()
    page.goto("http://localhost:8000/docs")
    page.get_by_role("button", name="POST /data Post Data").click()
    # Manually add the screenshot
    page.screenshot(path="docs/en/docs/img/tutorial/json-base64-bytes/image01.png")

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

### Otomatik API dokümanlarını kontrol edin { #check-the-automatic-api-docs }

Şimdi `fastapi` komutunu çalıştırın:

<div class="termy">

```console
$ fastapi dev

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
```

</div>

Ve dokümanları [http://127.0.0.1:8000/docs](http://127.0.0.1:8000/docs) adresinden açın.