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));