Dataweave JSON转换为XML格式-Mule-4

问题描述

我是使用dataweave转换的初学者，我正在尝试编写Mule 4 dataweave表达式以将输入JSON转换为输出XML格式，我有JSON格式的有效负载，并且想将其转换为特定的XML格式，下面是实际的JSON以及输出XML

product-id（XML）标签将来自= JSON的PBSI__Item__r标签的= name属性 XML中的分配值来自PBSI__Inventory__r标签的名称属性

JSON：

[
  {
    "PBSI__Item__r": {
      "Id": null,"type": "PBSI__PBSI_Item__c","Name": "116065"
    },"PBSI__Inventory__r": [
      {
        "Id": null,"type": "PBSI__PBSI_Inventory__c","PBSI__Real_Quantity__c": "13.0"
      }
    ],"PBSI__Location__r": {
      "Id": null,"type": "PBSI__PBSI_Location__c","Name": "OB043"
    },"Id": null,"type": "PBSI__Lot__c"
  },{
    "PBSI__Item__r": {
      "Id": null,"Name": "116066"
    },"PBSI__Real_Quantity__c": "1.0"
      }
    ],"Name": "OA011"
    },"type": "PBSI__Lot__c"
  }
]

输出XML：

<?xml version='1.0' encoding='UTF-8'?>
<inventory xmlns="http://www.demandware.com/xml/impex/inventory/2007-05-31">
  <inventory-list>
    <header list-id="Hastens_Inventory">
      <default-instock>false</default-instock>
      <use-bundle-inventory-only>false</use-bundle-inventory-only>
    </header>
    <records>
      <record product-id="116065">
        <allocation>13</allocation>
        <allocation-timestamp>2019-04-24T07:09:51.954Z</allocation-timestamp>
      </record>
      <record product-id="116066">
        <allocation>1</allocation>
        <allocation-timestamp>2019-04-24T07:09:51.965Z</allocation-timestamp>
      </record>
    </records>
  </inventory-list>
</inventory>

解决方法

这应该可以帮助您找到解决方案并学习实现方法，但我没有给出完整的解决方案，因此您可以以此为起点（几乎完成了80％）。 / p>

要包含名称空间，请点击链接https://docs.mulesoft.com/mule-runtime/4.3/dataweave-cookbook-include-xml-namespaces

{
    inventory:{
    inventorylist: {
        header @("list-id":"Hastens_Inventory"):
         { 
             "default-instock":false,"use-bundle-inventory-only":false
         },records: {(payload map
         {
             record @("product-id": $.PBSI__Item__r.Name): {
                 allocation: $.PBSI__Inventory__r[0].PBSI__Real_Quantity__c,"allocation-timestamp": now()
             }
         })}

    }
}
}

dataweave mule4