this.recline = this.recline || {}; this.recline.Backend = this.recline.Backend || {}; (function($, my) { // ## createDataset // // Convenience function to create a simple 'in-memory' dataset in one step. // // @param data: list of hashes for each document/row in the data ({key: // value, key: value}) // @param fields: (optional) list of field hashes (each hash defining a hash // as per recline.Model.Field). If fields not specified they will be taken // from the data. // @param metadata: (optional) dataset metadata - see recline.Model.Dataset. // If not defined (or id not provided) id will be autogenerated. my.createDataset = function(data, fields, metadata) { if (!metadata) { var metadata = {}; } if (!metadata.id) { metadata.id = String(Math.floor(Math.random() * 100000000) + 1); } var backend = recline.Model.backends['memory']; var datasetInfo = { documents: data, metadata: metadata }; if (fields) { datasetInfo.fields = fields; } else { if (data) { datasetInfo.fields = _.keys(data[0]); } } backend.addDataset(datasetInfo); var dataset = new recline.Model.Dataset({id: metadata.id}, 'memory'); dataset.fetch(); return dataset; }; // ## Memory Backend - uses in-memory data // // To use it you should provide in your constructor data: // // * metadata (including fields array) // * documents: list of hashes, each hash being one doc. A doc *must* have an id attribute which is unique. // // Example: // //
// // Backend setup
// var backend = recline.Backend.Memory();
// backend.addDataset({
// metadata: {
// id: 'my-id',
// title: 'My Title'
// },
// fields: [{id: 'x'}, {id: 'y'}, {id: 'z'}],
// documents: [
// {id: 0, x: 1, y: 2, z: 3},
// {id: 1, x: 2, y: 4, z: 6}
// ]
// });
// // later ...
// var dataset = Dataset({id: 'my-id'}, 'memory');
// dataset.fetch();
// etc ...
//
my.Memory = Backbone.Model.extend({
initialize: function() {
this.datasets = {};
},
addDataset: function(data) {
this.datasets[data.metadata.id] = $.extend(true, {}, data);
},
sync: function(method, model, options) {
var self = this;
if (method === "read") {
var dfd = $.Deferred();
if (model.__type__ == 'Dataset') {
var rawDataset = this.datasets[model.id];
model.set(rawDataset.metadata);
model.fields.reset(rawDataset.fields);
model.docCount = rawDataset.documents.length;
dfd.resolve(model);
}
return dfd.promise();
} else if (method === 'update') {
var dfd = $.Deferred();
if (model.__type__ == 'Document') {
_.each(self.datasets[model.dataset.id].documents, function(doc, idx) {
if(doc.id === model.id) {
self.datasets[model.dataset.id].documents[idx] = model.toJSON();
}
});
dfd.resolve(model);
}
return dfd.promise();
} else if (method === 'delete') {
var dfd = $.Deferred();
if (model.__type__ == 'Document') {
var rawDataset = self.datasets[model.dataset.id];
var newdocs = _.reject(rawDataset.documents, function(doc) {
return (doc.id === model.id);
});
rawDataset.documents = newdocs;
dfd.resolve(model);
}
return dfd.promise();
} else {
alert('Not supported: sync on Memory backend with method ' + method + ' and model ' + model);
}
},
query: function(model, queryObj) {
var numRows = queryObj.size;
var start = queryObj.from;
var dfd = $.Deferred();
results = this.datasets[model.id].documents;
// not complete sorting!
_.each(queryObj.sort, function(sortObj) {
var fieldName = _.keys(sortObj)[0];
results = _.sortBy(results, function(doc) {
var _out = doc[fieldName];
return (sortObj[fieldName].order == 'asc') ? _out : -1*_out;
});
});
var results = results.slice(start, start+numRows);
dfd.resolve(results);
return dfd.promise();
}
});
recline.Model.backends['memory'] = new my.Memory();
}(jQuery, this.recline.Backend));