### Create a backup job

#### Backup Virtual Machines with Veeam Backup and Replication

// Currently, there are three capabilities supported:
//   - Capacity Reporting
//   - Backup data locality for upload sessions (Veeam Smart Entity)
//   - Handover of IAM & STS Endpoints instead of manual definition in Veeam Backup & Replication. This allows Veeam
//     Agents to directly backup to object storage.
//
// An object storage system can implement one, multiple, or all functions.
//

		<Property name="backup.date.suffix" value="_%d{yyyyMMdd}" />
		<Property name="backup.max.history" value="10" />
		<Property name="stats.log.pattern" value="%msg%n" />
	</Properties>

	<Appenders>
		<RollingFile name="AppRollingFile" fileName="${log.file.basedir}/${domain.name}.log"
			filePattern="${log.file.basedir}/${domain.name}${backup.date.suffix}-%i.log.gz">

 */
package org.codelibs.fess.app.web.admin.backup;

import org.lastaflute.web.ruts.multipart.MultipartFormFile;
import org.lastaflute.web.validation.Required;

/**
 * Form class for backup file upload.
 * This form handles file uploads for backup and restore operations.
 */
public class UploadForm {

    /**
     * The backup file to be uploaded.
     */
    @Required

    }

    /**
     * Downloads a specific backup file by ID.
     * Supports various backup formats including system properties, bulk data, and NDJSON logs.
     *
     * @param id the backup file ID to download
     * @return stream response containing the backup file data
     */
    // GET /api/admin/backup/file/{id}
    @Execute
    public StreamResponse get$file(final String id) {

}

// randomly picks a character and returns its equivalent byte array.
func getRandomByte() []byte {
	const letterBytes = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ"
	// seeding the random number generator.
	rand.Seed(UTCNow().UnixNano())
	// pick a character randomly.
	return []byte{letterBytes[rand.Intn(len(letterBytes))]}
}

// picks a random byte and repeats it to size bytes.

      locale: {
        format: "YYYY-MM-DD HH:mm"
      }
    })
    .on("apply.daterangepicker", function(ev, picker) {
      $(this).val(
        picker.startDate.format("YYYY-MM-DD HH:mm") +
          " - " +
          picker.endDate.format("YYYY-MM-DD HH:mm")
      );
    });

  // Time picker
  $("input.form-control.time").timepicker({
    showInputs: false
  });

  // tooltips
  $(function() {

		<Property name="log.file.basedir" value="${sys:fess.log.path:-target/logs}" />
		<Property name="backup.date.suffix" value="_%d{yyyyMMdd}" />
		<Property name="backup.max.history" value="10" />
		<Property name="backup.max.age" value="90" />
		<Property name="backup.audit.max.age" value="360" />
		<Property name="backup.searchlog.max.age" value="90" />
		<Property name="audit.log.pattern" value="%msg%n" />

 * will be constant across algorithms).
 *
 * @author Pete Gillin
 * @since 20.0
 */
@NullUnmarked
enum QuantilesAlgorithm {

  /**
   * Sorts the dataset, and picks values from it. When computing multiple quantiles, we sort once
   * and pick multiple values.
   */
  SORTING {

    @Override
    double singleQuantile(int index, int scale, double[] dataset) {
      Arrays.sort(dataset);

		<Property name="log.file.basedir" value="${sys:fess.log.path:-target/logs}" />
		<Property name="backup.date.suffix" value="_%d{yyyyMMdd}" />
		<Property name="backup.max.history" value="10" />
	</Properties>

	<Appenders>
		<RollingFile name="AppFile" fileName="${log.file.basedir}/${domain.name}.log"
			filePattern="${log.file.basedir}/${domain.name}${backup.date.suffix}-%i.log.gz">