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

{* ../../docs_src/cookie_param_models/tutorial001_an_py310.py hl[9:12,16] *}

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

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

You can see the defined cookies in the docs UI at `/docs`:

  @Synchronized private fun send(
    data: ByteString,
    formatOpcode: Int,
  ): Boolean {
    // Don't send new frames after we've failed or enqueued a close frame.
    if (failed || enqueuedClose) return false

    // If this frame overflows the buffer, reject it and close the web socket.
    if (queueSize + data.size > MAX_QUEUE_SIZE) {
      close(CLOSE_CLIENT_GOING_AWAY, null)

        // Write context name
        System.arraycopy(CONTEXT_NAME_BYTES, 0, dst, dstIndex, 4);
        dstIndex += 4;

        // Padding to align data to 8-byte boundary
        dstIndex += 4;

        // Write durable handle V2 request data (32 bytes total)
        // MS-SMB2 2.2.13.2.4 structure:
        SMBUtil.writeInt4((int) getTimeoutFor100Ns(), dst, dstIndex); // Timeout (4 bytes in 100-ns intervals)

const val MASTER_CHECK_CONFIGURATION = "Gradle_Master_Check"
const val MAX_PROJECT_NUMBER_IN_BUCKET = 11

/**
 * Process test-class-data.json and generates test-buckets.json
 *
 * Usage: `mvn compile exec:java@update-test-buckets -DinputTestClassDataJson=/path/to/test-class-data.json`.
 * You can get the JSON file as an artifacts of the "autoUpdateTestSplitJsonOnGradleMaster" pipeline in TeamCity.
 */
fun main() {
    val model =

	if objAPI == nil {
		return
	}

	tiers := globalTierConfigMgr.ListTiers()
	data, err := json.Marshal(tiers)
	if err != nil {
		writeErrorResponseJSON(ctx, w, toAdminAPIErr(ctx, err), r.URL)
		return
	}

	w.Header().Set(tierCfgRefreshAtHdr, globalTierConfigMgr.refreshedAt().String())
	writeSuccessResponseJSON(w, data)
}

func (api adminAPIHandlers) EditTierHandler(w http.ResponseWriter, r *http.Request) {

            byte[] buffer = new byte[64];
            byte[] fileId = createTestData(16);
            byte oplockLevel = 0x02;

            // Fill some random data before offset
            Arrays.fill(buffer, 0, offset, (byte) 0xAB);

            // Write valid data at offset
            SMBUtil.writeInt2(24, buffer, offset);
            buffer[offset + 2] = oplockLevel;
            System.arraycopy(fileId, 0, buffer, offset + 8, 16);

		}
	}

	return loggerInfo, auditloggerInfo
}

func embedFileInZip(zipWriter *zip.Writer, name string, data []byte, fileMode os.FileMode) error {
	// Send profiling data to zip as file
	header, zerr := zip.FileInfoHeader(dummyFileInfo{
		name:    name,
		size:    int64(len(data)),
		mode:    fileMode,
		modTime: UTCNow(),
		isDir:   false,
		sys:     nil,
	})
	if zerr != nil {

                throw new FessSystemException("Failed to import data.", e);
            }
        });
        return asJson(new ApiResult.ApiResponse().status(ApiResult.Status.OK).result());
    }

    // GET /api/admin/elevateword/download
    /**
     * Downloads all elevate words as a CSV file.
     * Creates a temporary file with the exported data for download.
     *
     * @param body download parameters

	return nil, fmt.Errorf("%w (offline-disks=%d/%d)", errErasureReadQuorum, disksNotFound, len(p.readers))
}

// Decode reads from readers, reconstructs data if needed and writes the data to the writer.
// A set of preferred drives can be supplied. In that case they will be used and the data reconstructed.

	}
	AssertAssociationCount(t, user2, "Manager", 1, "after delete non-existing data")

	if err := DB.Model(&user2).Association("Manager").Delete(manager2); err != nil {
		t.Fatalf("Error happened when delete Manager, got %v", err)
	}
	AssertAssociationCount(t, user2, "Manager", 0, "after delete")

	// Prepare Data for Clear
	if err := DB.Model(&user2).Association("Company").Append(&company); err != nil {