将带有项目的路径转换为树对象
Convert paths with items to tree object
我正在尝试将包含项目路径的对象数组转换为数据树,所以我在路径上写了一个函数路径循环:
来自这个数组:
[
{ userName: "1", tags: ["A;B"] },
{ userName: "2", tags: ["A;B"] },
{ userName: "3", tags: ["A;"] },
{ userName: "4", tags: ["A;B;C"] },
{ userName: "5", tags: ["A;B"] },
{ userName: "6", tags: ["A;B;C;D"] }
]
到这个结构:
[{
name: "A",
families: [{
name: "B",
families: [{
name: "C",
families: [{
name: "D",
families: [],
items: ["6"]
}],
items: ["4"]
}],
items: ["1", "2", "5"]
}],
items: ["3"]
}]
function convertListToTree(associationList) {
let tree = [];
for (let i = 0; i < associationList.length; i++) {
let path = associationList[i].tags[0].split(';');
let assetName = associationList[i].userName;
let currentLevel = tree;
for (let j = 0; j < path.length; j++) {
let familyName = path[j];
let existingPath = findWhere(currentLevel, 'name', familyName);
if (existingPath) {
if (j === path.length - 1) {
existingPath.items.push(assetName);
}
currentLevel = existingPath.families;
} else {
let assets = [];
if (j === path.length - 1) {
assets.push(assetName)
}
let newPart = {
name: familyName,
families: [],
items: assets,
};
currentLevel.push(newPart);
currentLevel = newPart.families;
}
}
}
return tree;
}
function findWhere(array, key, value) {
let t = 0;
while (t < array.length && array[t][key] !== value) {
t++;
}
if (t < array.length) {
return array[t]
} else {
return false;
}
}
但我这里有一些问题,预期的输出与我想要的不一样
[
{
"name": "A",
"families": [
{
"name": "B",
"families": [
{
"name": "C",
"families": [
{
"name": "D",
"families": [],
"items": [
"6"
]
}
],
"items": [
"4"
]
}
],
"items": [
"1",
"2",
"5"
]
},
{
"name": "",
"families": [],
"items": [
"3"
]
}
],
"items": []
}
]
谁能帮我解决这个问题
您应该能够使用递归来实现此目的,使用在每个级别调用的 getFamilies 和 getUsers 函数:
const allTags = ["A", "B", "C", "D"];
let a = [ { "userName": "1", "tags": ["A;B"] }, { "userName": "2", "tags": ["A;B"] }, { "userName": "3", "tags": ["A;"] }, { "userName": "4", "tags": ["A;B;C"] }, { "userName": "5", "tags": ["A;B"] }, { "userName": "6", "tags": ["A;B;C;D"] } ];
// This function assumes order is not important, if it is, remove the sort() calls.
function arraysEqual(a1, a2) {
return a1.length === a2.length && a1.sort().every(function(value, index) { return value === a2.sort()[index]});
}
function getUserNames(tags, arr) {
return arr.filter(v => arraysEqual(v.tags[0].split(';').filter(a => a),tags)).map(({userName}) => userName);
}
function getFamilies(tags) {
if (tags.length >= allTags.length) return [];
const name = allTags[tags.length];
const path = [...tags, name];
return [{ name, families: getFamilies(path), items: getUserNames(path, a)}];
}
let res = getFamilies([]);
console.log('Result:', JSON.stringify(res, null, 4));
这里的想法是迭代数据(reduce循环),每当Map中缺少一个节点(nodesMap
),使用createBranch
递归创建节点,创建父节点(如果需要...),然后将节点分配给父节点,依此类推。最后一步是获取唯一的根路径列表(数据中的 A
),并将它们从 Map (tree
) 中提取到数组中。
const createBranch = ([name, ...tagsList], nodesMap, node) => {
if(!nodesMap.has(name)) { // create node if not in the Map
const node = { name, families: [], items: [] };
nodesMap.set(name, node);
// if not root of branch create the parent...
if(tagsList.length) createBranch(tagsList, nodesMap, node);
};
// if a parent assign the child to the parent's families
if(node) nodesMap.get(name).families.push(node);
};
const createTree = data => {
const tree = data.reduce((nodesMap, { userName: item, tags: [tags] }) => {
const tagsList = tags.match(/[^;]+/g).reverse(); // get all nodes in branch and reverse
const name = tagsList[0]; // get the leaf
if(!nodesMap.has(name)) createBranch(tagsList, nodesMap); // if the leaf doesn't exist create the entire branch
nodesMap.get(name).items.push(item); // assign the item to the leaf's items
return nodesMap;
}, new Map());
// get a list of uniqnue roots
const roots = [...new Set(data.map(({ tags: [tags] }) => tags.split(';')[0]))];
return roots.map(root => tree.get(root)); // get an array of root nodes
}
const data = [{"userName":"1","tags":["A;B"]},{"userName":"2","tags":["A;B"]},{"userName":"3","tags":["A;"]},{"userName":"4","tags":["A;B;C"]},{"userName":"5","tags":["A;B"]},{"userName":"6","tags":["A;B;C;D"]}];
const result = createTree(data);
console.log(result);
.as-console-wrapper { max-height: 100% !important; top: 0; }
请允许我做两个小改动,ramda 的 mergeDeepWithKey
将为您完成大部分工作。
更改,在我们开始之前:
- 使
tags
成为一个数组而不是包含一个字符串的数组(即 tags[0].split(";")
)
- 允许族成为类似字典的对象而不是数组(如果您需要数组格式,它是
Object.values(dict)
)
解决方案:
- 使用
reduce
将每个条目转换为所需格式的路径
- 用自定义逻辑合并所有路径:
- 合并
name
条目时,不要更改 name
- 合并
items
个条目时,连接
const inp = [
{ userName: "1", tags: ["A","B"] },
{ userName: "2", tags: ["A","B"] },
{ userName: "3", tags: ["A"] },
{ userName: "4", tags: ["A","B","C"] },
{ userName: "5", tags: ["A","B"] },
{ userName: "6", tags: ["A","B","C","D"] }
];
// Transform an input element to a nested path of the right format
const Path = ({ userName, tags }) => tags
.slice(0, -1)
.reduceRight(
(families, name) => ({ name, families: { [families.name]: families },
items: []
}),
({ name: last(tags), families: {}, items: [userName] })
);
// When merging path entries, use this custom logic
const mergePathEntry = (k, v1, v2) =>
k === "name" ? v1 :
k === "items" ? v1.concat(v2) :
null;
const result = inp
.map(Path)
// Watch out for inp.length < 2
.reduce(
mergeDeepWithKey(mergePathEntry)
)
console.log(JSON.stringify(result, null, 2));
<script src="https://cdnjs.cloudflare.com/ajax/libs/ramda/0.26.1/ramda.min.js"></script>
<script>const { mergeDeepWithKey, last } = R;</script>
我正在尝试将包含项目路径的对象数组转换为数据树,所以我在路径上写了一个函数路径循环:
来自这个数组:
[ { userName: "1", tags: ["A;B"] }, { userName: "2", tags: ["A;B"] }, { userName: "3", tags: ["A;"] }, { userName: "4", tags: ["A;B;C"] }, { userName: "5", tags: ["A;B"] }, { userName: "6", tags: ["A;B;C;D"] } ]
到这个结构:
[{ name: "A", families: [{ name: "B", families: [{ name: "C", families: [{ name: "D", families: [], items: ["6"] }], items: ["4"] }], items: ["1", "2", "5"] }], items: ["3"] }]
function convertListToTree(associationList) {
let tree = [];
for (let i = 0; i < associationList.length; i++) {
let path = associationList[i].tags[0].split(';');
let assetName = associationList[i].userName;
let currentLevel = tree;
for (let j = 0; j < path.length; j++) {
let familyName = path[j];
let existingPath = findWhere(currentLevel, 'name', familyName);
if (existingPath) {
if (j === path.length - 1) {
existingPath.items.push(assetName);
}
currentLevel = existingPath.families;
} else {
let assets = [];
if (j === path.length - 1) {
assets.push(assetName)
}
let newPart = {
name: familyName,
families: [],
items: assets,
};
currentLevel.push(newPart);
currentLevel = newPart.families;
}
}
}
return tree;
}
function findWhere(array, key, value) {
let t = 0;
while (t < array.length && array[t][key] !== value) {
t++;
}
if (t < array.length) {
return array[t]
} else {
return false;
}
}
但我这里有一些问题,预期的输出与我想要的不一样
[
{
"name": "A",
"families": [
{
"name": "B",
"families": [
{
"name": "C",
"families": [
{
"name": "D",
"families": [],
"items": [
"6"
]
}
],
"items": [
"4"
]
}
],
"items": [
"1",
"2",
"5"
]
},
{
"name": "",
"families": [],
"items": [
"3"
]
}
],
"items": []
}
]
谁能帮我解决这个问题
您应该能够使用递归来实现此目的,使用在每个级别调用的 getFamilies 和 getUsers 函数:
const allTags = ["A", "B", "C", "D"];
let a = [ { "userName": "1", "tags": ["A;B"] }, { "userName": "2", "tags": ["A;B"] }, { "userName": "3", "tags": ["A;"] }, { "userName": "4", "tags": ["A;B;C"] }, { "userName": "5", "tags": ["A;B"] }, { "userName": "6", "tags": ["A;B;C;D"] } ];
// This function assumes order is not important, if it is, remove the sort() calls.
function arraysEqual(a1, a2) {
return a1.length === a2.length && a1.sort().every(function(value, index) { return value === a2.sort()[index]});
}
function getUserNames(tags, arr) {
return arr.filter(v => arraysEqual(v.tags[0].split(';').filter(a => a),tags)).map(({userName}) => userName);
}
function getFamilies(tags) {
if (tags.length >= allTags.length) return [];
const name = allTags[tags.length];
const path = [...tags, name];
return [{ name, families: getFamilies(path), items: getUserNames(path, a)}];
}
let res = getFamilies([]);
console.log('Result:', JSON.stringify(res, null, 4));
这里的想法是迭代数据(reduce循环),每当Map中缺少一个节点(nodesMap
),使用createBranch
递归创建节点,创建父节点(如果需要...),然后将节点分配给父节点,依此类推。最后一步是获取唯一的根路径列表(数据中的 A
),并将它们从 Map (tree
) 中提取到数组中。
const createBranch = ([name, ...tagsList], nodesMap, node) => {
if(!nodesMap.has(name)) { // create node if not in the Map
const node = { name, families: [], items: [] };
nodesMap.set(name, node);
// if not root of branch create the parent...
if(tagsList.length) createBranch(tagsList, nodesMap, node);
};
// if a parent assign the child to the parent's families
if(node) nodesMap.get(name).families.push(node);
};
const createTree = data => {
const tree = data.reduce((nodesMap, { userName: item, tags: [tags] }) => {
const tagsList = tags.match(/[^;]+/g).reverse(); // get all nodes in branch and reverse
const name = tagsList[0]; // get the leaf
if(!nodesMap.has(name)) createBranch(tagsList, nodesMap); // if the leaf doesn't exist create the entire branch
nodesMap.get(name).items.push(item); // assign the item to the leaf's items
return nodesMap;
}, new Map());
// get a list of uniqnue roots
const roots = [...new Set(data.map(({ tags: [tags] }) => tags.split(';')[0]))];
return roots.map(root => tree.get(root)); // get an array of root nodes
}
const data = [{"userName":"1","tags":["A;B"]},{"userName":"2","tags":["A;B"]},{"userName":"3","tags":["A;"]},{"userName":"4","tags":["A;B;C"]},{"userName":"5","tags":["A;B"]},{"userName":"6","tags":["A;B;C;D"]}];
const result = createTree(data);
console.log(result);
.as-console-wrapper { max-height: 100% !important; top: 0; }
请允许我做两个小改动,ramda 的 mergeDeepWithKey
将为您完成大部分工作。
更改,在我们开始之前:
- 使
tags
成为一个数组而不是包含一个字符串的数组(即tags[0].split(";")
) - 允许族成为类似字典的对象而不是数组(如果您需要数组格式,它是
Object.values(dict)
)
解决方案:
- 使用
reduce
将每个条目转换为所需格式的路径
- 用自定义逻辑合并所有路径:
- 合并
name
条目时,不要更改name
- 合并
items
个条目时,连接
- 合并
const inp = [
{ userName: "1", tags: ["A","B"] },
{ userName: "2", tags: ["A","B"] },
{ userName: "3", tags: ["A"] },
{ userName: "4", tags: ["A","B","C"] },
{ userName: "5", tags: ["A","B"] },
{ userName: "6", tags: ["A","B","C","D"] }
];
// Transform an input element to a nested path of the right format
const Path = ({ userName, tags }) => tags
.slice(0, -1)
.reduceRight(
(families, name) => ({ name, families: { [families.name]: families },
items: []
}),
({ name: last(tags), families: {}, items: [userName] })
);
// When merging path entries, use this custom logic
const mergePathEntry = (k, v1, v2) =>
k === "name" ? v1 :
k === "items" ? v1.concat(v2) :
null;
const result = inp
.map(Path)
// Watch out for inp.length < 2
.reduce(
mergeDeepWithKey(mergePathEntry)
)
console.log(JSON.stringify(result, null, 2));
<script src="https://cdnjs.cloudflare.com/ajax/libs/ramda/0.26.1/ramda.min.js"></script>
<script>const { mergeDeepWithKey, last } = R;</script>