是否有一个jquery的扩展来从一组参数中获取:
categories[]=Shop+Mac&categories[]=Software&price_max=2799&price_min=24&sort=&page=1
JSON对象,如:
{
'categories': ["Shop Mac", "Software"],
'price_max': "2799",
'price_min': "24",
'page': '1'
}
...
答案 0 :(得分:2)
我在this answer中写了一个函数给类似的问题,它可以帮到你。我投票决定关闭这个作为该问题的副本,但现在我看到这个有额外的要求。当我写下这个答案时,我制作了一个版本来处理数组样式的URL参数:
(function () {
var e,
d = function (s) { return decodeURIComponent(s).replace(/\+/g, " "); },
q = window.location.search.substring(1),
r = /([^&=]+)=?([^&]*)/g;
while (e = r.exec(q)) {
if (e[1].indexOf("[") == "-1")
urlParams[d(e[1])] = d(e[2]);
else {
var b1 = e[1].indexOf("["),
aN = e[1].slice(b1+1, e[1].indexOf("]", b1)),
pN = d(e[1].slice(0, b1));
if (typeof urlParams[pN] != "object")
urlParams[d(pN)] = {},
urlParams[d(pN)].length = 0;
if (aN)
urlParams[d(pN)][d(aN)] = d(e[2]);
else
Array.prototype.push.call(urlParams[d(pN)], d(e[2]));
}
}
})();
您可以在此处查看有效的演示:http://jsbin.com/adali3/2
示例查询字符串:
test=Hello&person[]=jeff&person[]=jim&person[extra]=john&nocache=1290122355841
结果:
{
"test": "Hello",
"person": {
"0": "jeff",
"1": "jim",
"length": 2,
"extra": "john"
},
"nocache": "1290100673882"
}
答案 1 :(得分:1)
我有一个简单的解决方案:
// Get args from somewhere
var args = 'categories[]=Shop+Mac&categories[]=Software&price_max=2799&price_min=24&sort=&page=1';
// Set up final object
var output = {}
// Split on & to get groups of key-value pairs
args = args.split('&');
for (i = 0; i < args.length; i++) {
// Split on = to get separate key from value
args[i] = args[i].split('=');
// Remove square brackets from the key if they exist
if (/\[\]$/.test(args[i][0])) {
key = args[i][0].substring(0,(args[i][0].length) - 2);
} else {
key = args[i][0]
}
// If we haven't visited this key before then set it to a empty array
if (output[key] === undefined) {
output[key] = [];
}
// Push the value in to the array and remove + symbols whilst we're at it
output[key].push(args[i][1].replace('+', ' '));
}
如果你正在使用Firefox,你可以:
// You can now use output
console.debug(output);
你会得到:
categories: ["Shop Mac", "Software"]
page: ["1"]
price_max: ["2799"]
price_min: ["24"]
sort: [""]