{* ../../docs_src/request_form_models/tutorial001_an_py310.py hl[9:11,15] *}

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

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

You can verify it in the docs UI at `/docs`:

            """
        ),
    ] = _Unset,
    alias: Annotated[
        str | None,
        Doc(
            """
            An alternative name for the parameter field.

            This will be used to extract the data and for the generated OpenAPI.
            It is particularly useful when you can't use the name you want because it
            is a Python reserved keyword or similar.
            """
        ),
    ] = None,

 * This form extends CreateForm to include fields necessary for updating existing data config entries,
 * including tracking information for optimistic locking and audit trails.
 * Data configs define how to crawl and extract data from databases, CSV files, and other data sources.
 *
 */
public class EditForm extends CreateForm {

    /**
     * Creates a new EditForm instance.
     */
    public EditForm() {
        super();

}

func extractMetadata(ctx context.Context, mimesHeader ...textproto.MIMEHeader) (metadata map[string]string, err error) {
	metadata = make(map[string]string)

	for _, hdr := range mimesHeader {
		// Extract all query values.
		err = extractMetadataFromMime(ctx, hdr, metadata)
		if err != nil {
			return nil, err
		}
	}

	// Set content-type to default value if it is not set.

    }

    /**
     * Extracts the virtual host key from a RelatedQuery entity.
     * If the virtual host is blank or null, returns an empty string.
     *
     * @param entity the RelatedQuery entity to extract the host key from
     * @return the virtual host key, or empty string if blank or null
     */
    protected String getHostKey(final RelatedQuery entity) {
        final String key = entity.getVirtualHost();

Declare the **header parameters** that you need in a **Pydantic model**, and then declare the parameter as `Header`:

{* ../../docs_src/header_param_models/tutorial001_an_py310.py hl[9:14,18] *}

**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`:

        }

        if (tlsVersions.contains(TLS_1_3)) {
          println("TLSv1.3 requires an external command run before first traffic is sent")
          println("Follow instructions at https://github.com/neykov/extract-tls-secrets for TLSv1.3")
          println("Pid: ${ProcessHandle.current().pid()}")

          Thread.sleep(10000)
        }
      }

      CommandLine -> {
        return ProcessBuilder(
          "tshark",

And if you declared a `response_model`, it will still be used to filter and convert the object you returned.

**FastAPI** will use that *temporal* response to extract the cookies (also headers and status code), and will put them in the final response that contains the value you returned, filtered by any `response_model`.

        }
        String url = distributionUrl.substring(idx + 1).trim();

        Matcher m = WRAPPER_VERSION_EXTRACT.matcher(url);
        if (!m.matches()) {
            throw new IllegalStateException("Could not extract wrapper version from distributionUrl: " + url);
        }
        return m.group(1);
    }

    private static void run(String... cmd) throws IOException, InterruptedException, ExecutionException {

    }

    /**
     * Gets the appropriate extractor for the given response data.
     * Selects an extractor based on the MIME type of the file.
     *
     * @param responseData the response data containing the file to extract
     * @return the extractor instance for processing the file
     * @throws FessSystemException if no suitable extractor factory can be found
     */
    @Override