1

假设我有以下带有嵌套数组的有效负载，如何将嵌套数组中的数组组合为相同的 externalId 以及某些字段上的一些逻辑，例如

shipQty - 该字段将求和或累加到fillingOrder 下具有相同externalId 的记录

serialNumbers - 如果 externalId 相同，serialNumbers 下的所有记录将一起显示

请参阅下面的输入和预期输出

Json 有效负载输入

     {
        "Identifier": "9i098p-898j-67586k",
        "transactionDate": "2019-09-08T10:01:00-04:00",
        "order": [
            {
                "orderNumber": "123456789",
                "CourierOrderId": "1300-88-2525",
                "fillingOrder": [
                    {
                        "numberOfBoxes": 0,
                        "tracking": [
                            {
                                "carrier": "Orange",
                                "trackNum": "3333444",
                                "trackUrl": "https://www.orange.com/track/status",
                                "shipDate": "2019-09-08T10:01:00-04:00",
                                "SerialNumber": "00000123"
                            }
                        ],
                        "row": [
                            {
                                "externalId": "1",
                                "unitNo": "OP04-123456-789",
                                "shipQty": 2,
                                "serialNumbers": [
                                    {
                                        "serialNumber": "USD333555",
                                        "quantity": 1
                                    },
                                    {
                                        "serialNumber": "USD235678",
                                        "quantity": 1
                                    }
                                ]
                            }
                        ]
                    },
                    {
                        "tracking": [
                            {
                                "carrier": "Apple",
                                "trackNum": "555666",
                                "trackUrl": "https://www.apple.com/track/status",
                                "shipDate": "2019-09-08T10:01:00-04:00",
                                "SerialNumber": "00000645"
                            }
                        ],
                        "row": [
                            {
                                "externalId": "1",
                                "unitNo": "OP04-123456-789",
                                "shipQty": 3,
                                "serialNumbers": [
                                    {
                                        "serialNumber": "USD123456",
                                        "quantity": 1
                                    },
                                    {
                                        "serialNumber": "USD98765",
                                        "quantity": 1
                                    },
                                    {
                                        "serialNumber": "USD45689",
                                        "quantity": 1
                                    }
                                    
                                ]
                            }
                        ]
                    },
                    {
                        "tracking": [
                            {
                                "carrier": "banana",
                                "trackNum": "587390",
                                "trackUrl": "https://www.banana.com/track/status",
                                "shipDate": "2019-09-08T10:01:00-04:00",
                                "SerialNumber": "00000365"
                            }
                        ],
                        "row": [
                            {
                                "externalId": "2",
                                "unitNo": "OP05-123456-111",
                                "shipQty": 2,
                                "serialNumbers": [
                                    {
                                        "serialNumber": "USD00045",
                                        "quantity": 1
                                    },
                                    {
                                        "serialNumber": "USD00046",
                                        "quantity": 1
                                    }
                                    
                                ]
                            }
                        ]
                    }
                ]
            }
        ]
    }

预期的 Json 输出

{
    "row": [
        {
            "externalId": "1",
            "unitNo": "OP04-123456-789",
            "shipQty": 5, //the shipQty should be add up when the externalId is same
            "serialNumbers": [ //the serialNumbers should display all the data inside the serialNumbers when the externalId is same
                {
                    "serialNumber": "USD333555",
                    "quantity": 1
                },
                {
                    "serialNumber": "USD235678",
                    "quantity": 1
                },
                {
                    "serialNumber": "USD123456",
                    "quantity": 1
                },
                {
                    "serialNumber": "USD98765",
                    "quantity": 1
                },
                {
                    "serialNumber": "USD45689",
                    "quantity": 1
                }
            ]
        },
        {
            "externalId": "2",
            "unitNo": "OP05-123456-111",
            "shipQty": 2,
            "serialNumbers": [
                {
                    "serialNumber": "USD00045",
                    "quantity": 1
                },
                {
                    "serialNumber": "USD00046",
                    "quantity": 1
                }
        }
    ]
}
4

3 回答 3

1

看起来您只需要有效负载的fillingOrder 字段中的“行”数据。因此，简化问题的第一件事是将所有行作为一个数组。一旦你有了它们，你只需要按外部 id 对它们进行分组，问题就会开始变得更小。

%dw 2.0
output application/json

//First get all rows since it looks like you only need them. 
//If you find this confusing try to use flatten with some simpler payloads. 
var allRows = flatten(flatten(payload.order.fillingOrder).row)

//Group them according to external id.
var groupedExtId = allRows groupBy $.externalId
---
{
    row: groupedExtId pluck ((value, extId, index) -> do {
        var sumShipQuant = sum(value.shipQty default [])
        ---
        {
            externalId: (extId), //the key after grouping is external id
            unitNo: value.unitNo[0], //assuming it is same across diff external id
            shipQty: sumShipQuant,
            serialNumbers: flatten(value.serialNumbers) //Flatten because value is an array and it has multiple serielNumbers array
        }
    })
}
于 2021-01-08T20:59:25.830 回答
1

这应该会有所帮助。我从 Harshank Bansal 的帖子中获得了一些灵感

%dw 2.0
output application/json
var groupFlat = flatten(flatten (payload.order.fillingOrder).row) groupBy ($.externalId)
---

row: [groupFlat mapObject ((value, key, index) -> {
    externalId: value.externalId[0],
    unitNO: value.unitNo[0],
    shipQty: sum(value.shipQty),
    serialNumbers: flatten(value.serialNumbers)
})]
于 2021-01-10T15:01:50.333 回答
0

试试这个：

%dw 2.0
output application/json
---
row:[ if (payload..order..row..externalId[0] == payload..order..row..externalId[1]) {
externalId :  payload..order..row..externalId[0],
unitNo: payload..order..row..unitNo[0],
shipQty: payload..order..row..shipQty[0] + payload..order..row..shipQty[1],
serialNumbers:  flatten (payload..order..row..serialNumbers)  
}
else null]
于 2021-01-07T18:56:29.370 回答