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) { 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 = _.map(data[0], function(value, key) { return {id: key}; }); } } 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 = my.Base.extend({
initialize: function() {
this.datasets = {};
},
addDataset: function(data) {
this.datasets[data.metadata.id] = $.extend(true, {}, data);
},
sync: function(method, model, options) {
var self = this;
var dfd = $.Deferred();
if (method === "read") {
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') {
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') {
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 dfd = $.Deferred();
var out = {};
var numRows = queryObj.size;
var start = queryObj.from;
var results = this.datasets[model.id].documents;
results = this._applyFilters(results, queryObj);
results = this._applyFreeTextQuery(model, results, queryObj);
// 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;
});
});
out.facets = this._computeFacets(results, queryObj);
var total = results.length;
resultsObj = this._docsToQueryResult(results.slice(start, start+numRows));
_.extend(out, resultsObj);
out.total = total;
dfd.resolve(out);
return dfd.promise();
},
// in place filtering
_applyFilters: function(results, queryObj) {
_.each(queryObj.filters, function(filter) {
results = _.filter(results, function(doc) {
var fieldId = _.keys(filter.term)[0];
return (doc[fieldId] == filter.term[fieldId]);
});
});
return results;
},
// we OR across fields but AND across terms in query string
_applyFreeTextQuery: function(dataset, results, queryObj) {
if (queryObj.q) {
var terms = queryObj.q.split(' ');
results = _.filter(results, function(rawdoc) {
var matches = true;
_.each(terms, function(term) {
var foundmatch = false;
dataset.fields.each(function(field) {
var value = rawdoc[field.id].toString();
// TODO regexes?
foundmatch = foundmatch || (value === term);
// TODO: early out (once we are true should break to spare unnecessary testing)
// if (foundmatch) return true;
});
matches = matches && foundmatch;
// TODO: early out (once false should break to spare unnecessary testing)
// if (!matches) return false;
});
return matches;
});
}
return results;
},
_computeFacets: function(documents, queryObj) {
var facetResults = {};
if (!queryObj.facets) {
return facetsResults;
}
_.each(queryObj.facets, function(query, facetId) {
facetResults[facetId] = new recline.Model.Facet({id: facetId}).toJSON();
facetResults[facetId].termsall = {};
});
// faceting
_.each(documents, function(doc) {
_.each(queryObj.facets, function(query, facetId) {
var fieldId = query.terms.field;
var val = doc[fieldId];
var tmp = facetResults[facetId];
if (val) {
tmp.termsall[val] = tmp.termsall[val] ? tmp.termsall[val] + 1 : 1;
} else {
tmp.missing = tmp.missing + 1;
}
});
});
_.each(queryObj.facets, function(query, facetId) {
var tmp = facetResults[facetId];
var terms = _.map(tmp.termsall, function(count, term) {
return { term: term, count: count };
});
tmp.terms = _.sortBy(terms, function(item) {
// want descending order
return -item.count;
});
tmp.terms = tmp.terms.slice(0, 10);
});
return facetResults;
}
});
recline.Model.backends['memory'] = new my.Memory();
}(jQuery, this.recline.Backend));