with:
          name: maven-distributions
          path: maven-dist

      - name: List downloaded files
        shell: bash
        run: ls -la maven-dist

      - name: Extract Maven distribution
        shell: bash
        run: |
          mkdir -p maven-local
          if [ "${{ runner.os }}" = "Windows" ]; then
            unzip maven-dist/apache-maven-*-bin.zip -d maven-local

            }
        } catch (final MaxLengthExceededException e) {
            throw e;
        } catch (final Exception e) {
            if (buf.length() == 0) {
                throw new ExtractException("Could not extract a content.", e);
            }
        }

        return new ExtractData(buf.toString().trim());
    }

    /**
     * Sets the maximum content size.

{* ../../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`:

 * 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();

            }
        } catch (final MaxLengthExceededException e) {
            throw e;
        } catch (final Exception e) {
            if (buf.length() == 0) {
                throw new ExtractException("Could not extract a content.", e);
            }
        } finally {
            CloseableUtil.closeQuietly(ais);
        }

        return buf.toString().trim();
    }

    /**

        }

        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

            op.setRefreshPolicy(Constants.TRUE);
        });
        return failureUrl;
    }

    /**
     * Extracts and returns the stack trace from a throwable as a string.
     * The stack trace is abbreviated if it exceeds the configured maximum length.
     *
     * @param t the throwable to extract the stack trace from
     * @return the stack trace as a string, or empty string if extraction fails
     */

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`.

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`.