addMetadata(extractData, key, value);
        }
    }

    /**
     * Adds metadata to the extraction data if the value is not null.
     * @param extractData the extraction data
     * @param name the metadata name
     * @param value the metadata value
     */
    protected void addMetadata(final ExtractData extractData, final String name, final String value) {

    val data = Buffer().writeUtf8(content)
    val source: Source =
      object : Source {
        var closed = false

        override fun close() {
          closed = true
        }

        override fun read(
          sink: Buffer,
          byteCount: Long,
        ): Long {
          check(!closed)
          return data.read(sink, byteCount)
        }

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`:

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

    /**
     * Processes the given response data, extracting URLs from sitemaps.
     * @param responseData The response data.
     */
    @Override
    public void process(final ResponseData responseData) {
        final SitemapsHelper sitemapsHelper = crawlerContainer.getComponent("sitemapsHelper");

                return LocalDateTime.ofInstant(instant, ZoneId.systemDefault());
            } catch (final DateTimeParseException e) {
                logger.debug("Invalid date format: {}", value, e);
            }
        }
        return DfTypeUtil.toLocalDateTime(value);
    }

    public MsExcelExtractor() {
        super();
    }

    /**
     * Extracts text from the Excel input stream.
     * @param in The input stream.
     * @param params The parameters.
     * @return The extracted data.
     */
    @Override
    public ExtractData getText(final InputStream in, final Map<String, String> params) {
        if (in == null) {
            throw new CrawlerSystemException("The inputstream is null.");
        }

# /---------------------------------------------------------------------------
# commonColumnMap: (Default map:{})
#
# The definition of common column(contains auto set-up).
# For example, the date you registered the record,
# the user who updated the record and so on...
# The column names are treated as case insensitive.
#
# The variable '$$AccessContext$$' means allcommon.AccessContext.
#
# Example:
# map:{
#     ; commonColumnMap = map:{

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package okhttp3.survey.types

data class Client(
  val userAgent: String,
  val version: String,
  val platform: String? = null,
  val enabled: List<SuiteId> = listOf(),
  val supported: List<SuiteId> = listOf(),
) {
  val nameAndVersion: String

      return HeldCertificate(keyPair, certificate)
    }

    private fun decodePkcs8(
      data: ByteString,
      keyAlgorithm: String,
    ): PrivateKey {
      try {
        val keyFactory = KeyFactory.getInstance(keyAlgorithm)
        return keyFactory.generatePrivate(PKCS8EncodedKeySpec(data.toByteArray()))
      } catch (e: GeneralSecurityException) {

	// create
	user := &User{Name: "foo", Age: 20}
	user.CreatedAt = date
	user.UpdatedAt = date
	sql = DB.ToSQL(func(tx *gorm.DB) *gorm.DB {
		return tx.Model(&User{}).Create(user)
	})