函数配置

1、选择命名空间和绑定对象

2、添加参数配置

注意此步骤【名称】要完全保持一致

代码实例

//获取激励政策
Map policyData = policy["containerDocument"] as Map
 //获取政策名称，其他字段请参看对应对象
String policyName = policyData["name"] as String
log.info("policyName:"+policyName)
//获取激励规则
List rulelList = rules["IncentivePolicyRuleObj"] as List
//循环激励规则
rulelList.each{item ->
  Map detailDataMap = item as Map
  //获取激励规则数据
  Map detailData = detailDataMap["containerDocument"] as Map
  //获取规则名称，其他字段请参看对应对象
  String ruleName = detailData["name"] as String
  log.info("ruleName:"+ruleName)
}

//获取交易事件信息
Map eventData = context.data as Map
//获取会员id，其他字段请参看对应对象
String member_id = eventData["member_id"] as String
log.info("member_id:"+member_id )

Long result = eventData["grading_points_quantity"] as Long
return result

激励指标配置函数

1. 选择【指标类型】为【APL函数】
2. 选择已经实现逻辑的APL函数