Javascript 使用两个数组将对象分组到新数组中_Javascript_Arrays_Json_Grouping

Javascript 使用两个数组将对象分组到新数组中

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Javascript 使用两个数组将对象分组到新数组中,javascript,arrays,json,grouping,Javascript,Arrays,Json,Grouping,我必须根据订单数组中给出的季节对产品数组中的产品进行分组。订单数组具有季节键值对（例如“季节”：“2015”）。可以使用订单数组的“id”和产品数组的“orderlineId”将产品映射到单个订单对象当我按季节对产品进行分组时，它们还需要根据product.uniqueId和product.colorCode中的uniqueId和product.colorCode进行分组订单数组 { "id": 99945333, "key": "1", "orderNumber":

我必须根据订单数组中给出的季节对产品数组中的产品进行分组。订单数组具有季节键值对（例如“季节”：“2015”）。可以使用订单数组的“id”和产品数组的“orderlineId”将产品映射到单个订单对象
当我按季节对产品进行分组时，它们还需要根据product.uniqueId和product.colorCode中的uniqueId和product.colorCode进行分组
订单数组

{ "id": 99945333, "key": "1", "orderNumber": "01", "season": "2007" }, { "id": 99945335, "key": "1", "orderNumber": "02", "season": "2016" }, { "id": 99945333, "key": "2", "orderNumber": "03", "season": "2019" }, { "id": 99945333, "key": "3", "orderNumber": "04", "season": "2017" } ]

"orderlineId": 99945333, "product": { "season": null, "size": "XXL", "category: "pants" "sizeSortCode": "60", "subSize": null, "subSizeSortCode": "0", "uniqueId": "80457", "year": null }, "quantity": 1, "quantityDelivered": 0, "remark": null }, { "orderlineId": 99945333, "product": { "season": null, "size": "XXL", "category: "pants" "sizeSortCode": "60", "subSize": null, "subSizeSortCode": "0", "uniqueId": "80457", "year": null }, "quantity": 1, "quantityDelivered": 0, "remark": null }, { "orderlineId": 99945335, "product": { "season": null, "size": "XXL", "category: "shirt" "sizeSortCode": "60", "subSize": null, "subSizeSortCode": "0", "uniqueId": "80457", "year": null }, "quantity": 1, "quantityDelivered": 0, "remark": null }, { "orderlineId": 99945335, "product": { "season": null, "size": "XXL", "category: "trouser" "sizeSortCode": "60", "subSize": null, "subSizeSortCode": "0", "uniqueId": "80453", "year": null }, "quantity": 1, "quantityDelivered": 0, "remark": null }, { "orderlineId": 99945473, "product": { "season": null, "category: "blouse" "size": "XXL", "sizeSortCode": "60", "subSize": null, "subSizeSortCode": "0", "uniqueId": "80453", "year": null }, "quantity": 1, "quantityDelivered": 0, "remark": null },

{ "season": 2007, "products": [ { "season": null, "size": "XXL", "category: "pants" "sizeSortCode": "60", "subSize": null, "subSizeSortCode": "0", "uniqueId": "80453", "year": null } { "season": null, "size": "XXL", "sizeSortCode": "60", "subSize": null, "subSizeSortCode": "0", "uniqueId": "80453", "year": null } }, { "season": 2016, "products": [ { "season": null, "size": "XXL", "sizeSortCode": "60", "subSize": null, "subSizeSortCode": "0", "uniqueId": "80457", "year": null }, }, { "season": null, "size": "XXL", "sizeSortCode": "60", "subSize": null, "subSizeSortCode": "0", "uniqueId": "80453", "year": null } } ]
产品阵列

{ "id": 99945333, "key": "1", "orderNumber": "01", "season": "2007" }, { "id": 99945335, "key": "1", "orderNumber": "02", "season": "2016" }, { "id": 99945333, "key": "2", "orderNumber": "03", "season": "2019" }, { "id": 99945333, "key": "3", "orderNumber": "04", "season": "2017" } ]

"orderlineId": 99945333, "product": { "season": null, "size": "XXL", "category: "pants" "sizeSortCode": "60", "subSize": null, "subSizeSortCode": "0", "uniqueId": "80457", "year": null }, "quantity": 1, "quantityDelivered": 0, "remark": null }, { "orderlineId": 99945333, "product": { "season": null, "size": "XXL", "category: "pants" "sizeSortCode": "60", "subSize": null, "subSizeSortCode": "0", "uniqueId": "80457", "year": null }, "quantity": 1, "quantityDelivered": 0, "remark": null }, { "orderlineId": 99945335, "product": { "season": null, "size": "XXL", "category: "shirt" "sizeSortCode": "60", "subSize": null, "subSizeSortCode": "0", "uniqueId": "80457", "year": null }, "quantity": 1, "quantityDelivered": 0, "remark": null }, { "orderlineId": 99945335, "product": { "season": null, "size": "XXL", "category: "trouser" "sizeSortCode": "60", "subSize": null, "subSizeSortCode": "0", "uniqueId": "80453", "year": null }, "quantity": 1, "quantityDelivered": 0, "remark": null }, { "orderlineId": 99945473, "product": { "season": null, "category: "blouse" "size": "XXL", "sizeSortCode": "60", "subSize": null, "subSizeSortCode": "0", "uniqueId": "80453", "year": null }, "quantity": 1, "quantityDelivered": 0, "remark": null },

{ "season": 2007, "products": [ { "season": null, "size": "XXL", "category: "pants" "sizeSortCode": "60", "subSize": null, "subSizeSortCode": "0", "uniqueId": "80453", "year": null } { "season": null, "size": "XXL", "sizeSortCode": "60", "subSize": null, "subSizeSortCode": "0", "uniqueId": "80453", "year": null } }, { "season": 2016, "products": [ { "season": null, "size": "XXL", "sizeSortCode": "60", "subSize": null, "subSizeSortCode": "0", "uniqueId": "80457", "year": null }, }, { "season": null, "size": "XXL", "sizeSortCode": "60", "subSize": null, "subSizeSortCode": "0", "uniqueId": "80453", "year": null } } ]
我认为一个新的数组在这里是最好的，所以我更容易迭代它们
理想结果：新阵列

{ "id": 99945333, "key": "1", "orderNumber": "01", "season": "2007" }, { "id": 99945335, "key": "1", "orderNumber": "02", "season": "2016" }, { "id": 99945333, "key": "2", "orderNumber": "03", "season": "2019" }, { "id": 99945333, "key": "3", "orderNumber": "04", "season": "2017" } ]

"orderlineId": 99945333, "product": { "season": null, "size": "XXL", "category: "pants" "sizeSortCode": "60", "subSize": null, "subSizeSortCode": "0", "uniqueId": "80457", "year": null }, "quantity": 1, "quantityDelivered": 0, "remark": null }, { "orderlineId": 99945333, "product": { "season": null, "size": "XXL", "category: "pants" "sizeSortCode": "60", "subSize": null, "subSizeSortCode": "0", "uniqueId": "80457", "year": null }, "quantity": 1, "quantityDelivered": 0, "remark": null }, { "orderlineId": 99945335, "product": { "season": null, "size": "XXL", "category: "shirt" "sizeSortCode": "60", "subSize": null, "subSizeSortCode": "0", "uniqueId": "80457", "year": null }, "quantity": 1, "quantityDelivered": 0, "remark": null }, { "orderlineId": 99945335, "product": { "season": null, "size": "XXL", "category: "trouser" "sizeSortCode": "60", "subSize": null, "subSizeSortCode": "0", "uniqueId": "80453", "year": null }, "quantity": 1, "quantityDelivered": 0, "remark": null }, { "orderlineId": 99945473, "product": { "season": null, "category: "blouse" "size": "XXL", "sizeSortCode": "60", "subSize": null, "subSizeSortCode": "0", "uniqueId": "80453", "year": null }, "quantity": 1, "quantityDelivered": 0, "remark": null },

{ "season": 2007, "products": [ { "season": null, "size": "XXL", "category: "pants" "sizeSortCode": "60", "subSize": null, "subSizeSortCode": "0", "uniqueId": "80453", "year": null } { "season": null, "size": "XXL", "sizeSortCode": "60", "subSize": null, "subSizeSortCode": "0", "uniqueId": "80453", "year": null } }, { "season": 2016, "products": [ { "season": null, "size": "XXL", "sizeSortCode": "60", "subSize": null, "subSizeSortCode": "0", "uniqueId": "80457", "year": null }, }, { "season": null, "size": "XXL", "sizeSortCode": "60", "subSize": null, "subSizeSortCode": "0", "uniqueId": "80453", "year": null } } ]
我发现这很难做到。我想我应该先绘制季节图，但不确定如何对产品进行分组并构建新阵列。非常感谢您的帮助
啊
我想我找到了我自己问题的充分答案。它与期望的输出不完全一样，但我可以使用它！。我用过：

const sortedSeasons = orders.concat(products).reduce((acc, currentVal) => { acc[currentVal.season] = Object.assign(acc[currentVal.id] || {}, currentVal); return acc; }, {}); Object.keys(sortedSeasons).map(i => sortedSeasons[i]);