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+<!DOCTYPE html>
+<html lang="en">
+<head>
+ <meta charset="utf-8">
+ <title>Example: DataSchema.JSON</title>
+ <link rel="stylesheet" href="http://fonts.googleapis.com/css?family=PT+Sans:400,700,400italic,700italic">
+ <link rel="stylesheet" href="../../build/cssgrids/cssgrids-min.css">
+ <link rel="stylesheet" href="../assets/css/main.css">
+ <link rel="stylesheet" href="../assets/vendor/prettify/prettify-min.css">
+ <link rel="shortcut icon" type="image/png" href="../assets/favicon.png">
+ <script src="../../build/yui/yui-min.js"></script>
+
+</head>
+<body>
+<!--
+<a href="https://github.com/yui/yui3"><img style="position: absolute; top: 0; right: 0; border: 0;" src="https://s3.amazonaws.com/github/ribbons/forkme_right_darkblue_121621.png" alt="Fork me on GitHub"></a>
+-->
+<div id="doc">
+ <div id="hd">
+ <h1><img src="http://yuilibrary.com/img/yui-logo.png"></h1>
+ </div>
+
+
+ <h1>Example: DataSchema.JSON</h1>
+ <div class="yui3-g">
+ <div class="yui3-u-3-4">
+ <div id="main">
+ <div class="content"><div class="intro">
+ <p>DataSchema.JSON normalizes arbitrary JSON data against a given schema into an object with known properties.</p>
+</div>
+
+<div class="example yui3-skin-sam">
+ <style scoped>
+/* custom styles for this example */
+#demo .output {margin-bottom:1em; padding:10px; border:1px solid #D9D9D9;}
+</style>
+
+<form id="demo">
+ <h4>Basic example</h4>
+ <h6>Data</h6>
+ <pre>
+{
+ "total":10,
+ "results":[
+ {"n":1, "fname":"George", "lname":"Washington"},
+ {"n":2, "fname":"John", "lname":"Adams"},
+ {"n":3, "fname":"Thomas", "lname":"Jefferson"},
+ {"n":4, "fname":"James", "lname":"Madison"},
+ {"n":5, "fname":"James", "lname":"Monroe"},
+ {"n":6, "fname":"John", "mname":"Quincy", "lname":"Adams"},
+ {"n":7, "fname":"Andrew", "lname":"Jackson"},
+ {"n":8, "fname":"Martin", "lname":"Van Buren"},
+ {"n":9, "fname":"William", "mname":"Henry", "lname":"Harrison"},
+ {"n":10, "fname":"John", "lname":"Tyler"}
+ ]
+}
+ </pre>
+
+ <h6>Schema</h6>
+ <pre>
+{
+ metaFields: {total:"total"},
+ resultListLocator: "results",
+ resultFields: [{key:"n"}, {key:"fname"}, {key:"lname"}]
+}
+ </pre>
+
+ <h6>Normalized data</h6>
+ <input type="button" id="demo_apply_basic" value="Apply schema =>">
+ <div id="demo_output_basic" class="output"></div>
+
+ <h4>Complex example</h4>
+ <h6>Data</h6>
+ <pre>
+{
+ "profile":{
+ "current":160,
+ "target":150
+ },
+ "reference": [
+ {
+ "category":"exercise",
+ "type":"expenditure",
+ "activities":[
+ {"name":"biking", "calories":550},
+ {"name":"golf", "calories":1000},
+ {"name":"running", "calories":650},
+ {"name":"swimming", "calories":650},
+ {"name":"walking", "calories":225}
+ ]
+ },
+ {
+ "category":"nutrition",
+ "type":"intake",
+ "fruit":[
+ {"name":"apple", "calories":70},
+ {"name":"banana", "calories":70},
+ {"name":"orange", "calories":90},
+ ],
+ "vegetables":[
+ {"name":"baked potato", "calories":150},
+ {"name":"broccoli", "calories":50},
+ {"name":"green beans", "calories":30}
+ ]
+ }
+ ],
+ "program": [
+ {
+ "category":"exercise",
+ "schedule":[
+ {"day":"sunday", "activity":"swimming"},
+ {"day":"monday", "activity":"running"},
+ {"day":"tuesday", "activity":"biking"},
+ {"day":"wednesday", "activity":"running"},
+ {"day":"thursday", "activity":"swimming"},
+ {"day":"friday", "activity":"running"},
+ {"day":"saturday", "activity":"golf"}
+ ]
+ },
+ {
+ "category":"diet",
+ "schedule":[
+ ]
+ }
+ ]
+}
+ </pre>
+
+ <h6>Schema</h6>
+ <pre>
+{
+ metaFields: {current:"profile.current", target:"profile.target",
+ reference:"reference[0].activities"},
+ resultListLocator: "program[0].schedule",
+ resultFields: [{key:"day"}, {key:"activity"}]
+}
+ </pre>
+
+ <h6>Normalized data</h6>
+ <input type="button" id="demo_apply_complex" value="Apply schema =>">
+ <div id="demo_output_complex" class="output"></div>
+</form>
+
+
+<script>
+YUI().use("dump", "node", "dataschema-json", function (Y) {
+ Y.on("click", function(e){
+ var data_in = {
+ "total":10,
+ "results":[
+ {"n":1, "fname":"George", "lname":"Washington"},
+ {"n":2, "fname":"John", "lname":"Adams"},
+ {"n":3, "fname":"Thomas", "lname":"Jefferson"},
+ {"n":4, "fname":"James", "lname":"Madison"},
+ {"n":5, "fname":"James", "lname":"Monroe"},
+ {"n":6, "fname":"John", "mname":"Quincy", "lname":"Adams"},
+ {"n":7, "fname":"Andrew", "lname":"Jackson"},
+ {"n":8, "fname":"Martin", "lname":"Van Buren"},
+ {"n":9, "fname":"William", "mname":"Henry", "lname":"Harrison"},
+ {"n":10, "fname":"John", "lname":"Tyler"}
+ ]
+ },
+ schema = {
+ metaFields: {total:"total"},
+ resultListLocator: "results",
+ resultFields: [{key:"n"}, {key:"fname"}, {key:"lname"}] // Or simply: ["n", "fname", "lname"]
+ };
+ Y.one("#demo_output_basic").setHTML(Y.dump(Y.DataSchema.JSON.apply(schema, data_in)));
+ }, "#demo_apply_basic");
+
+ Y.on("click", function(e){
+ var data_in = {
+ "profile":{
+ "current":160,
+ "target":150
+ },
+ "reference": [
+ {
+ "category":"exercise",
+ "type":"expenditure",
+ "activities":[
+ {"name":"biking", "calories":550},
+ {"name":"golf", "calories":1000},
+ {"name":"running", "calories":650},
+ {"name":"swimming", "calories":650},
+ {"name":"walking", "calories":225}
+ ]
+ },
+ {
+ "category":"nutrition",
+ "type":"intake",
+ "fruit":[
+ {"name":"apple", "calories":70},
+ {"name":"banana", "calories":70},
+ {"name":"orange", "calories":90},
+ ],
+ "vegetables":[
+ {"name":"baked potato", "calories":150},
+ {"name":"broccoli", "calories":50},
+ {"name":"green beans", "calories":30}
+ ]
+ }
+ ],
+ "program": [
+ {
+ "category":"exercise",
+ "weekly schedule":[
+ {"day":"sunday", "activity":"swimming"},
+ {"day":"monday", "activity":"running"},
+ {"day":"tuesday", "activity":"biking"},
+ {"day":"wednesday", "activity":"running"},
+ {"day":"thursday", "activity":"swimming"},
+ {"day":"friday", "activity":"running"},
+ {"day":"saturday", "activity":"golf"}
+ ]
+ },
+ {
+ "category":"diet",
+ "schedule":[
+ ]
+ }
+ ]
+ },
+ schema = {
+ metaFields: {current:"profile.current", target:"profile.target", reference:"reference[0].activities"},
+ resultListLocator: "program[0]['weekly schedule']",
+ resultFields: [{key:"day"}, {key:"activity"}] // Or simply: ["day", "activity"]
+ };
+ Y.one("#demo_output_complex").setHTML(Y.dump(Y.DataSchema.JSON.apply(schema, data_in)));
+ }, "#demo_apply_complex");
+});
+</script>
+
+</div>
+
+<p>In order to use DataSchema.JSON, input data must be a JavaScript object.</p>
+
+<pre class="code prettyprint">YUI().use("dataschema-json", function(Y) {
+ var data_in = {
+ total:10,
+ results:[
+ {n:1, fname:"George", lname:"Washington"},
+ {n:2, fname:"John", lname:"Adams"},
+ {n:3, fname:"Thomas", lname:"Jefferson"},
+ {n:4, fname:"James", lname:"Madison"},
+ {n:5, fname:"James", lname:"Monroe"},
+ {n:6, fname:"John", mname:"Quincy", lname:"Adams"},
+ {n:7, fname:"Andrew", lname:"Jackson"},
+ {n:8, fname:"Martin", lname:"Van Buren"},
+ {n:9, fname:"William", mName:"Henry", lname:"Harrison"},
+ {n:10, fname:"John", lname:"Tyler"}
+ ]
+ },
+ schema = {
+ metaFields: {total:"total"},
+ resultListLocator: "results",
+ // Or simply: ["n", "fname", "lname"]
+ resultFields: [{key:"n"}, {key:"fname"}, {key:"lname"}]
+ },
+ data_out = Y.DataSchema.JSON.apply(schema, data_in));
+
+ alert(data_out);
+});</pre>
+
+
+<p>The data itself can get fairly complex, with deeply nested arrays and objects. In your schema, you can use dot notation and the array-index syntax to define these locations. When necessary, you can also use object-bracket notation to define locations that might otherwise be invalid with dot notation.</p>
+
+<pre class="code prettyprint">YUI().use("dataschema-json", function(Y) {
+ var data_in = {
+ "profile":{
+ "current":160,
+ "target":150
+ },
+ "reference": [
+ {
+ "category":"exercise",
+ "type":"expenditure",
+ "activities":[
+ {"name":"biking", "calories":550},
+ {"name":"golf", "calories":1000},
+ {"name":"running", "calories":650},
+ {"name":"swimming", "calories":650},
+ {"name":"walking", "calories":225}
+ ]
+ },
+ {
+ "category":"nutrition",
+ "type":"intake",
+ "fruit":[
+ {"name":"apple", "calories":70},
+ {"name":"banana", "calories":70},
+ {"name":"orange", "calories":90},
+ ],
+ "vegetables":[
+ {"name":"baked potato", "calories":150},
+ {"name":"broccoli", "calories":50},
+ {"name":"green beans", "calories":30}
+ ]
+ }
+ ],
+ "program": [
+ {
+ "category":"exercise",
+ "weekly schedule":[
+ {"day":"sunday", "activity":"swimming"},
+ {"day":"monday", "activity":"running"},
+ {"day":"tuesday", "activity":"biking"},
+ {"day":"wednesday", "activity":"running"},
+ {"day":"thursday", "activity":"swimming"},
+ {"day":"friday", "activity":"running"},
+ {"day":"saturday", "activity":"golf"}
+ ]
+ },
+ {
+ "category":"diet",
+ "schedule":[
+ ]
+ }
+ ]
+ },
+ schema = {
+ metaFields: {current:"profile.current", target:"profile.target",
+ reference:"reference[0].activities"},
+ resultListLocator: "program[0]['weekly schedule']",
+ // Or simply: ["day", "activity"]
+ resultFields: [{key:"day"}, {key:"activity"}]
+ },
+ data_out = Y.DataSchema.Array.apply(schema, data_in));
+
+ alert(data_out);
+});</pre>
+
+</div>
+ </div>
+ </div>
+
+ <div class="yui3-u-1-4">
+ <div class="sidebar">
+
+
+
+ <div class="sidebox">
+ <div class="hd">
+ <h2 class="no-toc">Examples</h2>
+ </div>
+
+ <div class="bd">
+ <ul class="examples">
+
+
+ <li data-description="Schema parsing a JavaScript array.">
+ <a href="dataschema-array.html">DataSchema.Array</a>
+ </li>
+
+
+
+ <li data-description="Schema parsing JSON data.">
+ <a href="dataschema-json.html">DataSchema.JSON</a>
+ </li>
+
+
+
+ <li data-description="Schema parsing XML data.">
+ <a href="dataschema-xml.html">DataSchema.XML for XML Data</a>
+ </li>
+
+
+
+ <li data-description="Schema parsing data held in TABLE elements.">
+ <a href="dataschema-table.html">DataSchema.XML for HTML Tables</a>
+ </li>
+
+
+
+ <li data-description="Schema parsing delimited plain-text data.">
+ <a href="dataschema-text.html">DataSchema.Text</a>
+ </li>
+
+
+
+ <li data-description="Parsing data into specified types as the schema is being applied.">
+ <a href="dataschema-parsing.html">Enforcing DataTypes</a>
+ </li>
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ </ul>
+ </div>
+ </div>
+
+
+
+ <div class="sidebox">
+ <div class="hd">
+ <h2 class="no-toc">Examples That Use This Component</h2>
+ </div>
+
+ <div class="bd">
+ <ul class="examples">
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ <li data-description="The Local DataSource manages retrieval of in-page data, from JavaScript arrays and objects to DOM elements.">
+ <a href="../datasource/datasource-local.html">DataSource.Local</a>
+ </li>
+
+
+
+ <li data-description="The Get DataSource, which manages retrieval of data from remote sources via the Get Utility, can be useful for accessing data from cross-domain servers without the need for a proxy.">
+ <a href="../datasource/datasource-get.html">DataSource.Get</a>
+ </li>
+
+
+
+ <li data-description="The IO DataSource manages retrieval of data from remote sources, via the IO Utility.">
+ <a href="../datasource/datasource-io.html">DataSource.IO</a>
+ </li>
+
+
+
+ <li data-description="The Function DataSource, which manages retrieval of data from a JavaScript function, provides a highly customizeable mechanism for implementer-defined data retrieval algorithms">
+ <a href="../datasource/datasource-function.html">DataSource.Function</a>
+ </li>
+
+
+
+ <li data-description="Use the DataSourceCache plugin to enable caching and reduce server calls to remote sources.">
+ <a href="../datasource/datasource-caching.html">DataSource with Caching</a>
+ </li>
+
+
+
+ <li data-description="The DataSourceCache plugin supports offline caching so that cached data persists across browser sessions.">
+ <a href="../datasource/datasource-offlinecache.html">DataSource with Offline Cache</a>
+ </li>
+
+
+ </ul>
+ </div>
+ </div>
+
+ </div>
+ </div>
+ </div>
+</div>
+
+<script src="../assets/vendor/prettify/prettify-min.js"></script>
+<script>prettyPrint();</script>
+
+<script>
+YUI.Env.Tests = {
+ examples: [],
+ project: '../assets',
+ assets: '../assets/dataschema',
+ name: 'dataschema-json',
+ title: 'DataSchema.JSON',
+ newWindow: '',
+ auto: false
+};
+YUI.Env.Tests.examples.push('dataschema-array');
+YUI.Env.Tests.examples.push('dataschema-json');
+YUI.Env.Tests.examples.push('dataschema-xml');
+YUI.Env.Tests.examples.push('dataschema-table');
+YUI.Env.Tests.examples.push('dataschema-text');
+YUI.Env.Tests.examples.push('dataschema-parsing');
+YUI.Env.Tests.examples.push('datasource-local');
+YUI.Env.Tests.examples.push('datasource-get');
+YUI.Env.Tests.examples.push('datasource-io');
+YUI.Env.Tests.examples.push('datasource-function');
+YUI.Env.Tests.examples.push('datasource-caching');
+YUI.Env.Tests.examples.push('datasource-offlinecache');
+
+</script>
+<script src="../assets/yui/test-runner.js"></script>
+
+
+
+</body>
+</html>