* 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();

{* ../../docs_src/request_form_models/tutorial001_an_py39.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`:

 * into a ResultData object, and for retrieving the binary data from an AccessResultData object.
 * It extends the AbstractTransformer class.
 *
 * <p>
 * This transformer extracts the binary content from the response body of a web resource,
 * stores it as a byte array in the ResultData, and provides a method to retrieve this data
 * as a ByteArrayInputStream.
 * </p>
 *
 * <p>

        }

        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 you could do this even if the data type in the request is not JSON.

For example, in this application we don't use FastAPI's integrated functionality to extract the JSON Schema from Pydantic models nor the automatic validation for JSON. In fact, we are declaring the request content type as YAML, not JSON:

//// tab | Pydantic v2

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`.

    /** The OpenSearch query builder for geographic queries. */
    private QueryBuilder builder;

    /**
     * Constructs a GeoInfo instance by parsing geographic parameters from the HTTP request.
     * Extracts geo.{field}.point and geo.{field}.distance parameters to create
     * geo-distance queries for each configured geographic field.
     *
     * @param request the HTTP servlet request containing geographic parameters

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

         */
        protected String name;

        /**
         * Constructs a Field from OpenSearch Terms aggregation.
         * Decodes the field name and processes all term buckets to extract
         * field values and their document counts.
         *
         * @param termFacet the OpenSearch Terms aggregation containing field facet data
         */
        public Field(final Terms termFacet) {

        int written = (buffer[0] & 0xFF) | ((buffer[1] & 0xFF) << 8);
        int expected = level & 0xFFFF;
        assertEquals(expected, written);
    }

    // Helper method to extract string from buffer
    private String extractStringFromBuffer(byte[] buffer, int offset, int maxLen) {
        int end = offset;
        while (end < offset + maxLen && buffer[end] != 0) {
            end++;
        }