我正在研究一种网格结构,用户可以在其中动态添加节,子节或项目。我在我的redux状态对象中管理这些东西。我的网格的用户界面如下:
我想更新单行记录,而不是再次重新加载整个网格。为此,每当用户更改行的任何单元格值时,我都会调用update-row
api,并在此操作成功后尝试使用以下代码在reducer中更新该值。
case UPDATE_ORDER_LINES_SUCCESS:
let stateData = state.get(`GridData`);
const dataIndex = stateData.children.findIndex(
(listing) => listing.id === action.row.id // row id which is updated
);
stateData[0].children[dataIndex] = action.row;
let data = Object.assign(stateData, { children: stateData.children });
state = state.set(`GridData`, [data]);
此代码对于第一级子记录(按json对象)正常工作,但是如果用户更新第n级子记录的值,则会出现问题。如何在redux状态下更新该行记录?
我当前的redux状态示例是:
{
"views": [
{
"id": "5e6b8961ba08180001a10bb6",
"viewName": "house",
"description": "house view",
"name": "house",
"children": [
{
"id": "5e6b8961ba08180001a10bb7",
"viewName": "house",
"sectionName": "Temporary",
"sectionId": "SEC-02986",
"description": "Temporary",
"sequenceNumber": 4,
"refrenceId": "SEC-02986",
"children": [
{
"id": "5e590df71bbc71000118c109",
"lineDescription": "AutoPickPack01",
"lineAction": "Rent",
"quantity": 5,
"deliveryDate": "2020-02-29T06:00:00+11:00",
"pickDate": "2020-02-28T06:00:00+11:00",
"pickupDate": "2020-03-01T06:00:00+11:00",
"prepDate": "2020-02-28T06:00:00+11:00",
"returnDate": "2020-03-01T06:00:00+11:00",
"shippingDate": "2020-02-29T06:00:00+11:00",
"unitPrice": 7000,
"children": [
{
"id": "5e590df71bbc71000118c10a",
"orderId": "Ord-05788_1",
"lineNumber": "01a7b77c-792a-4edb-9b73-132440621968",
"purchaseOrderNumber": null,
"lineDescription": "29Janserial",
"lineAction": "Rent",
"quantity": 5,
"pricingMethod": "Fixed",
"displayUnit": "Days",
"unitPrice": 0,
"chargeAmount": 0,
"pickDate": "2020-02-17T06:00:00+11:00",
"prepDate": "2020-02-28T06:00:00+11:00",
"shippingDate": "2020-02-29T06:00:00+11:00",
"deliveryDate": "2020-02-29T06:00:00+11:00",
"pickupDate": "2020-03-01T06:00:00+11:00",
"returnDate": "2020-03-01T06:00:00+11:00",
"name": "29Janserial",
"description": "29Janserial",
"discountAmount": "",
"discountPrice": ""
}
]
}
]
}
]
}
]
}
在reducer中更新嵌套子行数据的最佳方法是什么?
您应该规范化状态,使树变平,并且实体将通过ID引用而不是直接嵌套进行关联。
例如
{
"entities": {
"orders": {
"o1": { "id": "o1", "productIds": ["p1", "p2"] },
"o2": { "id": "o2", "productIds": ["p2", "p3"] },
"o3": { "id": "o2", "productIds": ["p3"] }
},
"products": {
"p1": { "id": "p1", "orderIds": ["o1"] },
"p2": { "id": "p1", "orderIds": ["o1", "o2"] },
"p3": { "id": "p1", "orderIds": ["o2", "o3"] }
},
"views": {
"v1": { "id": "v1", "childIds": ["v1.1", "v1.2"] },
"v1.1": { "id": "v1.1", "parentId": "v1" },
"v1.2": { "id": "v1.2", "parentId": "v1" }}
},
"ids": {
"orders": ["o1", "o2", "o3"],
"products": ["p1", "p2", "p3"],
"views": ["v1", "v1.1", "v1.2"]
}
}
[找到正确的模型并将原始数据转换成更多的前期工作,但是您节省了很多时间,不必处理嵌套的或影响多个数据区域的更新。