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);
});