JSON是否有等价的XSLT ?它允许我对JSON进行转换，就像XSLT对XML所做的那样。
当前回答
JSLT非常接近于XSLT的JSON等价物。这是一种转换语言，您可以用JSON语法编写输出的固定部分，然后插入表达式来计算您想要插入到模板中的值。
一个例子:
{
"time": round(parse-time(.published, "yyyy-MM-dd'T'HH:mm:ssX") * 1000),
"device_manufacturer": .device.manufacturer,
"device_model": .device.model,
"language": .device.acceptLanguage
}
它是在Jackson之上用Java实现的。
其他回答
我最近发现了一个我喜欢的JSON样式工具:https://github.com/twigkit/tempo。非常容易使用的工具——在我看来，使用它比使用XSLT容易得多——不需要XPATH查询。
最近，我围绕着这个写了自己的小库，尽量保持接近
5.1处理模型(XSLT REC) https://www.w3.org/TR/xslt#section-Processing-Model
在几行JavaScript代码中。
这里有一些不完全琐碎的使用示例……
1. JSON-to-some-markup:
小提琴:https://jsfiddle.net/YSharpLanguage/kj9pk8oz/10
(灵感来自D.1文档示例(XSLT REC) https://www.w3.org/TR/xslt#section-Document-Example)
的地方:
var D1document = {
type: "document", title: [ "Document Title" ],
"": [
{ type: "chapter", title: [ "Chapter Title" ],
"": [
{ type: "section", title: [ "Section Title" ],
"": [
{ type: "para", "": [ "This is a test." ] },
{ type: "note", "": [ "This is a note." ] }
] },
{ type: "section", title: [ "Another Section Title" ],
"": [
{ type: "para", "": [ "This is ", { emph: "another" }, " test." ] },
{ type: "note", "": [ "This is another note." ] }
] }
] }
] };
var D1toHTML = { $: [
[ [ function(node) { return node.type === "document"; } ],
function(root) {
return "<html>\r\n\
<head>\r\n\
<title>\r\n\
{title}\r\n".of(root) + "\
</title>\r\n\
</head>\r\n\
<body>\r\n\
{*}".of(root[""].through(this)) + "\
</body>\r\n\
</html>";
}
],
[ [ function(node) { return node.type === "chapter"; } ],
function(chapter) {
return " <h2>{title}</h2>\r\n".of(chapter) + "{*}".of(chapter[""].through(this));
}
],
[ [ function(node) { return node.type === "section"; } ],
function(section) {
return " <h3>{title}</h3>\r\n".of(section) + "{*}".of(section[""].through(this));
}
],
[ [ function(node) { return node.type === "para"; } ],
function(para) {
return " <p>{*}</p>\r\n".of(para[""].through(this));
}
],
[ [ function(node) { return node.type === "note"; } ],
function(note) {
return ' <p class="note"><b>NOTE: </b>{*}</p>\r\n'.of(note[""].through(this));
}
],
[ [ function(node) { return node.emph; } ],
function(emph) {
return "<em>{emph}</em>".of(emph);
}
]
] };
console.log(D1document.through(D1toHTML));
．.． 给:
<html>
<head>
<title>
Document Title
</title>
</head>
<body>
<h2>Chapter Title</h2>
<h3>Section Title</h3>
<p>This is a test.</p>
<p class="note"><b>NOTE: </b>This is a note.</p>
<h3>Another Section Title</h3>
<p>This is <em>another</em> test.</p>
<p class="note"><b>NOTE: </b>This is another note.</p>
</body>
</html>
and
2. JSON-to-JSON:
小提琴:https://jsfiddle.net/YSharpLanguage/ppfmmu15/10
的地方:
// (A "Company" is just an object with a "Team")
function Company(obj) {
return obj.team && Team(obj.team);
}
// (A "Team" is just a non-empty array that contains at least one "Member")
function Team(obj) {
return ({ }.toString.call(obj) === "[object Array]") &&
obj.length &&
obj.find(function(item) { return Member(item); });
}
// (A "Member" must have first and last names, and a gender)
function Member(obj) {
return obj.first && obj.last && obj.sex;
}
function Dude(obj) {
return Member(obj) && (obj.sex === "Male");
}
function Girl(obj) {
return Member(obj) && (obj.sex === "Female");
}
var data = { team: [
{ first: "John", last: "Smith", sex: "Male" },
{ first: "Vaio", last: "Sony" },
{ first: "Anna", last: "Smith", sex: "Female" },
{ first: "Peter", last: "Olsen", sex: "Male" }
] };
var TO_SOMETHING_ELSE = { $: [
[ [ Company ],
function(company) {
return { some_virtual_dom: {
the_dudes: { ul: company.team.select(Dude).through(this) },
the_grrls: { ul: company.team.select(Girl).through(this) }
} }
} ],
[ [ Member ],
function(member) {
return { li: "{first} {last} ({sex})".of(member) };
} ]
] };
console.log(JSON.stringify(data.through(TO_SOMETHING_ELSE), null, 4));
．.． 给:
{
"some_virtual_dom": {
"the_dudes": {
"ul": [
{
"li": "John Smith (Male)"
},
{
"li": "Peter Olsen (Male)"
}
]
},
"the_grrls": {
"ul": [
{
"li": "Anna Smith (Female)"
}
]
}
}
}
3.XSLT与JavaScript:
JavaScript等价于…
XSLT 3.0 REC 14.4示例:基于公共值对节点进行分组
(http://jsfiddle.net/YSharpLanguage/8bqcd0ey/1)
参看https://www.w3.org/TR/xslt-30/ grouping-examples
在那里……
var cities = [
{ name: "Milano", country: "Italia", pop: 5 },
{ name: "Paris", country: "France", pop: 7 },
{ name: "München", country: "Deutschland", pop: 4 },
{ name: "Lyon", country: "France", pop: 2 },
{ name: "Venezia", country: "Italia", pop: 1 }
];
/*
Cf.
XSLT 3.0 REC Section 14.4
Example: Grouping Nodes based on Common Values
https://www.w3.org/TR/xslt-30/#grouping-examples
*/
var output = "<table>\r\n\
<tr>\r\n\
<th>Position</th>\r\n\
<th>Country</th>\r\n\
<th>City List</th>\r\n\
<th>Population</th>\r\n\
</tr>{*}\r\n\
</table>".of
(
cities.select().groupBy("country")(function(byCountry, index) {
var country = byCountry[0],
cities = byCountry[1].select().orderBy("name");
return "\r\n\
<tr>\r\n\
<td>{position}</td>\r\n\
<td>{country}</td>\r\n\
<td>{cities}</td>\r\n\
<td>{population}</td>\r\n\
</tr>".
of({ position: index + 1, country: country,
cities: cities.map(function(city) { return city.name; }).join(", "),
population: cities.reduce(function(sum, city) { return sum += city.pop; }, 0)
});
})
);
．.． 给:
<table>
<tr>
<th>Position</th>
<th>Country</th>
<th>City List</th>
<th>Population</th>
</tr>
<tr>
<td>1</td>
<td>Italia</td>
<td>Milano, Venezia</td>
<td>6</td>
</tr>
<tr>
<td>2</td>
<td>France</td>
<td>Lyon, Paris</td>
<td>9</td>
</tr>
<tr>
<td>3</td>
<td>Deutschland</td>
<td>München</td>
<td>4</td>
</tr>
</table>
4. JSONiq vs. JavaScript:
JavaScript等价于…
JSONiq用例1.1.2节。JSON查询分组
(https://jsfiddle.net/YSharpLanguage/hvo24hmk/3)
参看http://jsoniq.org/docs/JSONiq-usecases/html-single/index.html jsongrouping
在那里……
/*
1.1.2. Grouping Queries for JSON
http://jsoniq.org/docs/JSONiq-usecases/html-single/index.html#jsongrouping
*/
var sales = [
{ "product" : "broiler", "store number" : 1, "quantity" : 20 },
{ "product" : "toaster", "store number" : 2, "quantity" : 100 },
{ "product" : "toaster", "store number" : 2, "quantity" : 50 },
{ "product" : "toaster", "store number" : 3, "quantity" : 50 },
{ "product" : "blender", "store number" : 3, "quantity" : 100 },
{ "product" : "blender", "store number" : 3, "quantity" : 150 },
{ "product" : "socks", "store number" : 1, "quantity" : 500 },
{ "product" : "socks", "store number" : 2, "quantity" : 10 },
{ "product" : "shirt", "store number" : 3, "quantity" : 10 }
];
var products = [
{ "name" : "broiler", "category" : "kitchen", "price" : 100, "cost" : 70 },
{ "name" : "toaster", "category" : "kitchen", "price" : 30, "cost" : 10 },
{ "name" : "blender", "category" : "kitchen", "price" : 50, "cost" : 25 },
{ "name" : "socks", "category" : "clothes", "price" : 5, "cost" : 2 },
{ "name" : "shirt", "category" : "clothes", "price" : 10, "cost" : 3 }
];
var stores = [
{ "store number" : 1, "state" : "CA" },
{ "store number" : 2, "state" : "CA" },
{ "store number" : 3, "state" : "MA" },
{ "store number" : 4, "state" : "MA" }
];
var nestedGroupingAndAggregate = stores.select().orderBy("state").groupBy("state")
( function(byState) {
var state = byState[0],
stateStores = byState[1];
byState = { };
return (
(
byState[state] =
products.select().orderBy("category").groupBy("category")
( function(byCategory) {
var category = byCategory[0],
categoryProducts = byCategory[1],
categorySales = sales.filter(function(sale) {
return stateStores.find(function(store) { return sale["store number"] === store["store number"]; }) &&
categoryProducts.find(function(product) { return sale.product === product.name; });
});
byCategory = { };
return (
(
byCategory[category] =
categorySales.select().orderBy("product").groupBy("product")
( function(byProduct) {
var soldProduct = byProduct[0],
soldQuantities = byProduct[1];
byProduct = { };
return (
(
byProduct[soldProduct] =
soldQuantities.reduce(function(sum, sale) { return sum += sale.quantity; }, 0)
),
byProduct
);
} ) // byProduct()
),
byCategory
);
} ) // byCategory()
),
byState
);
} ); // byState()
．.． 给:
[
{
"CA": [
{
"clothes": [
{
"socks": 510
}
]
},
{
"kitchen": [
{
"broiler": 20
},
{
"toaster": 150
}
]
}
]
},
{
"MA": [
{
"clothes": [
{
"shirt": 10
}
]
},
{
"kitchen": [
{
"blender": 250
},
{
"toaster": 50
}
]
}
]
}
]
它还有助于克服JSONPath wrt的局限性。对祖先轴进行查询，就像这个SO问题(当然还有其他问题)所提出的那样。
例如，如何获得折扣的杂货项目知道其品牌标识，在
{
"prods": [
{
"info": {
"rate": 85
},
"grocery": [
{
"brand": "C",
"brand_id": "984"
},
{
"brand": "D",
"brand_id": "254"
}
],
"discount": "15"
},
{
"info": {
"rate": 100
},
"grocery": [
{
"brand": "A",
"brand_id": "983"
},
{
"brand": "B",
"brand_id": "253"
}
],
"discount": "20"
}
]
}
?
一个可能的解决方案是:
var products = {
"prods": [
{
"info": {
"rate": 85
},
"grocery": [
{
"brand": "C",
"brand_id": "984"
},
{
"brand": "D",
"brand_id": "254"
}
],
"discount": "15"
},
{
"info": {
"rate": 100
},
"grocery": [
{
"brand": "A",
"brand_id": "983"
},
{
"brand": "B",
"brand_id": "253"
}
],
"discount": "20"
}
]
};
function GroceryItem(obj) {
return (typeof obj.brand === "string") && (typeof obj.brand_id === "string");
}
// last parameter set to "true", to grab all the "GroceryItem" instances
// at any depth:
var itemsAndDiscounts = [ products ].nodeset(GroceryItem, true).
map(
function(node) {
var item = node.value, // node.value: the current "GroceryItem" (aka "$.prods[*].grocery[*]")
discount = node.parent. // node.parent: the array of "GroceryItem" (aka "$.prods[*].grocery")
parent. // node.parent.parent: the product (aka "$.prods[*]")
discount; // node.parent.parent.discount: the product discount
// finally, project into an easy-to-filter form:
return { id: item.brand_id, discount: discount };
}
),
discountOfItem983;
discountOfItem983 = itemsAndDiscounts.
filter
(
function(mapped) {
return mapped.id === "983";
}
)
[0].discount;
console.log("Discount of #983: " + discountOfItem983);
．.． 这使:
Discount of #983: 20
“HTH,
一种尚未给出的方法是使用解析器生成器在XSLT中创建解析器，解析JSON并生成XML输出。
在XML会议上被多次提及的一个选项是ReX解析器生成器(http://www.bottlecaps.de/rex/)——尽管在站点上完全没有文档记载，但是可以通过搜索找到菜谱。
说缺乏工具就意味着缺乏需求，这只是在回避问题。这同样适用于Linux中的X或Y支持(为什么要为这样一个少数操作系统开发高质量的驱动程序和/或游戏呢?为什么要关注一个大型游戏和硬件公司不会开发的操作系统?)可能需要使用XSLT和JSON的人最终会使用一种有点琐碎的解决方法:将JSON转换为XML。但这不是最优解，对吧?
当您有一个原生JSON格式，并且希望在浏览器中以“所见即所得”的方式编辑它时，XSLT将是一个非常合适的解决方案。用传统的javascript编程来实现这一点可能会让人头疼。
事实上，我已经实现了一种“石器时代”的XSLT方法，使用子字符串解析来解释javascript的一些基本命令，比如调用模板、子进程等。当然，使用JSON对象实现转换引擎要比实现成熟的XML解析器来解析XSLT容易得多。问题是，要使用XML模板转换JSON对象，您需要解析模板的XML。
要将JSON对象转换为XML(或HTML、文本或其他内容)，您需要仔细考虑语法以及需要使用哪些特殊字符来标识转换命令。否则，您将不得不为自己的自定义模板语言设计一个解析器。走过这条路后，我可以告诉你，它并不漂亮。
Update (Nov 12, 2010): After a couple of weeks working on my parser, I've been able to optimize it. Templates are parsed beforehand and commands are stored as JSON objects. Transformation rules are also JSON objects, while the template code is a mix of HTML and a homebrew syntax similar to shell code. I've been able to transform a complex JSON document into HTML to make a document editor. The code is around 1K lines for the editor (it's for a private project so I can't share it) and around 990 lines for the JSON transformation code (includes iteration commands, simple comparisons, template calling, variable saving and evaluation). I plan to release it under a MIT license. Drop me a mail if you want to get involved.
我使用骆驼路由marshal(xmljson) ->到(xlst) -> marshal(xmljson)。足够高效(虽然不是100%完美)，但简单，如果你已经在使用Camel。
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