我低于JSON请求
[{
"Weight": "787.00",
"Volume": "65.00",
"TrackID": "128260490",
"item": [
{
"Description": "basketball",
"totalquantity": 1
},
{
"Description": "football",
"totalquantity": 4
}
]
},
{
"Weight": "68.200",
"Volume": "44.298",
"TrackID": "890433466",
"item": [
{
"Description": "hockeystick",
"totalquantity": 8
}
]
}
]
我正在以以下方式查看输出(仅json格式):
{
Purchasedetails: [
{
"TrackID": 128260490,
"Description": "basketball",
"totalquantity": 1
},
{
"TrackID": 128260490,
"Description": "football",
"totalquantity": 4
},
{
"TrackID": 890433466,
"Description": "hockeystick",
"totalquantity": 8
}
]
}
在这里,如果您看到篮球和足球(描述)中具有相同的TrackID且跟踪ID相同,那么我该如何处理该TrackID逻辑?
答案 0 :(得分:2)
尝试一下:
%dw 2.0
output application/json
---
// Create the object with the PurchaseDetails field
{
// Iterate over every single object in the array
// NOTE: I prefare reduce because it saves iterations and/or array removals
PurchaseDetails: payload reduce (
(pd, result=[]) -> (
// Append the array of items with the TrackID to the result
result ++ (
// Build a new object for each object in the item array
pd.item map {
// Add the TrackID to the resulting object
TrackID: pd.TrackID,
($)
}
)
)
)
}