/**
 * @author admin01
 * @codeName 打印打印
 * @description 怎么传参数
 * @createTime 2024-07-08
 */
Map map = [:]


// instanceId 66867287a1267e7b18549747
// dataId 664dd64ff7239000076e0adf
// instanceId = "66867287a1267e7b18549747"
def (Boolean err, List instanceList, String errMsg) = Fx.approval.findTasks(instanceId)

List printList = []
instanceList.each { inst ->
  List opinions = ((Map) inst).opinions as List
  opinions.eachWithIndex { opin, i ->
    Map newOpin = [:]
    // 审批节点名称
    newOpin.task_name = ((Map) inst).task_name
    // 处理人
    String replyUser = ((List) ((Map) opin).reply_user)[0]
    def (Boolean err1, Map userInfo, String errMsg1) = Fx.org.findUserById(replyUser)
    if(!err1){
      newOpin.reply_user = userInfo.full_name
    } else {
      log.info(errMsg1)
    }
    // 处理结果
    String type = ((Map) opin).action_type
    if(type == 'agree'){
      newOpin.action_type = '通过'
    } else if(type == 'reject'){
      newOpin.action_type = '驳回'
    } else if(type == 'cancel'){
      newOpin.action_type = '取消'
    }
    // 处理意见
    newOpin.opinion = ((Map) opin).opinion
    // 审批节点名称需要进行合并，初始化 colspan、rowspan
    Map spanTaskName = [task_name: [colspan: 1, rowspan: 1]]
    newOpin.span = spanTaskName
    printList.add(newOpin)
  }
}

// 上面生成了一个标准的关系性数据，需要将其分组计算得出需要对 task_name 合并行
Map groupedByTaskName = printList.groupBy { ((Map) it).task_name }.collectEntries { [(it.key): (it.value)] }
groupedByTaskName.each { entry ->
  def taskList = entry.value as List<Map>
	if (taskList.size() <= 1) return

	taskList.eachWithIndex { task, i ->
		Map span = ((Map) task).span as Map
		Map taskNameSpan = span.task_name as Map
		if (i == 0) {
			taskNameSpan.rowspan = taskList.size()
		} else {
			taskNameSpan.rowspan = 0
		}
	}
}

map.put('instanceList', printList)


return map