+
+
+DataSchema.JSON normalizes arbitrary JSON data against a given schema into an object with known properties.
+
+
+
+
+
+
+
+
+
+
+In order to use DataSchema.JSON, input data must be a JavaScript object.
+ +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);
+});
+
+
+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.
+ +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);
+});
+
+