DataSource.Function allows the implementer to define a JavaScript function that returns data values, for maximum customizeability. A DataSchema plugin is used to normalize incoming data into a known format for consistency of usage by other components.
Your custom function can return arbitrary data, so use the appropriate schema plugin to normalize the data into a consistent format. Array data would use a DataSourceArraySchema plugin:
YUI().use("datasource-function", "datasource-arrayschema", function(Y) {
var myFunction = function(request) {
return [
{name:"abc",id:123},
{name:"def",id:456},
{name:"ghi",id:789}
];
},
myDataSource = new Y.DataSource.Function({source:myFunction}),
myCallback = {
success: function(e){
alert(e.response);
},
failure: function(e){
alert("Could not retrieve data: " + e.error.message);
}
};
myDataSource.plug(Y.Plugin.DataSourceArraySchema, {
schema: {
resultFields: ["name","id"]
}
});
myDataSource.sendRequest({callback:myCallback});
});
Whereas JSON data would use a DataSourceJSONSchema plugin:
YUI().use("datasource-function", "datasource-jsonschema", function(Y) {
var myFunction = function(request) {
return {
"profile":{
"current":160,
"target":150
},
"reference": [
{
...
},
{
"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": [
...
]
};
},
myDataSource = new Y.DataSource.Function({source:myFunction}),
myCallback = {
success: function(e){
alert(e.response);
},
failure: function(e){
alert("Could not retrieve data: " + e.error.message);
}
};
myDataSource.plug(Y.Plugin.DataSourceJSONSchema, {
schema: {
resultListLocator: "reference[1].fruit",
resultFields: ["name","calories"]
}
});
myDataSource.sendRequest({callback:myCallback});
});