chartviz.js
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/*
** This file is part of ChartViz.
**
** ChartViz is free software: you can redistribute it and/or modify
** it under the terms of the GNU General Public License as published by
** the Free Software Foundation, either version 3 of the License, or
** (at your option) any later version.
**
** ChartViz is distributed in the hope that it will be useful,
** but WITHOUT ANY WARRANTY; without even the implied warranty of
** MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
** GNU General Public License for more details.
**
** You should have received a copy of the GNU General Public License
** along with ChartViz. If not, see <http://www.gnu.org/licenses/>.
**
** Copyright (C) 2016 ChartViz - Donato Pirozzi (donatopirozzi@gmail.com)
** Distributed under the GNU GPL v3. For full terms see the file LICENSE.
** License: http://www.gnu.org/licenses/gpl.html GPL version 3 or higher
**/
//<INCLUDE>. Find a batter way to include dependent scripts.
//document.write('<script type="text/javascript" src="ArrayUtils.js"></script>');
//document.write('<script type="text/javascript" src="DataTypesUtils.js"></script>');
function ChartProcessor() {
}
ChartProcessor.TYPES = {
TEXT : { value: 0, name: "TEXT" },
NUMBER : { value: 1, name: "NUMBER" },
LATITUDE : { value: 2, name: "LATITUDE" },
LONGITUDE : { value: 2, name: "LONGITUDE" },
BOOL : { value: 3, name: "BOOL"},
CONST : { value: 4, name: "BOOL" },
CATEGORY : { value: 5, name: "CATEGORY" }
};
ChartProcessor.prototype = (function () {
var _fields = [];
var _numOfRows = 0;
var _arrUtil = new ArrayUtils();
var _dataTypesUtils = new DataTypesUtils();
/***
* Make an asynchronous call to load the content.
* @param theUrl
* @param callback
*/
var httpGetAsync = function(theUrl, callbackOnFinish) {
var xhttp = new XMLHttpRequest();
xhttp.onreadystatechange = function() {
if (xhttp.readyState == 4 && xhttp.status == 200)
_processDataset(xhttp.responseText, callbackOnFinish);
}
xhttp.open("GET", theUrl, true); // true for asynchronous
xhttp.send(null);
};//EndFunction.
var _processDataset = function (datasetContent, callbackOnFinish) {
//Split the dataset rows.
var rows = datasetContent.split("\n");
//The assumption is that the first row is the header.
_processHeader(rows[0]);
//Loop through the dataset's rows.
var i;
for (i=1; i<rows.length; i++) {
var row = rows[i];
_processRow(row);
}//EndFor.
//It determines the type of each column.
var datasetsize = rows.length - 1;
_fields.map(function (field) {
var max = _arrUtil.findMinMax(field._inferredTypes, function (curval, lastval) {
return curval > lastval;
});
field.type = max.key;
field.typeConfidence = field._inferredTypes[max.key] / _numOfRows;
//TODO: improve this piece of code.
//LAT/LNG.
var fieldName = field.name.toLowerCase();
var isLatType = (field.type === ChartProcessor.TYPES.LATITUDE.name);
var fieldNameContainsLat = fieldName.indexOf('lat') >= 0;
var fieldNameContainsLon = fieldName.indexOf('ng') >= 0; //It could be 'lng'.
if (isLatType == true && fieldNameContainsLat == false && fieldNameContainsLon == true) {
field.type = ChartProcessor.TYPES.LONGITUDE.name;
}
//BOOLEAN.
var numOfValues = Object.keys(field._inferredValues).length;
if (field.type === ChartProcessor.TYPES.TEXT.name) {
if (numOfValues == 1) field.type = ChartProcessor.TYPES.CONST.name;
else if (numOfValues == 2) field.type = ChartProcessor.TYPES.BOOL.name;
else if (numOfValues < _numOfRows * 0.10) field.type = ChartProcessor.TYPES.CATEGORY.name;
}
console.log("ccc");
});
//Call the user function.
callbackOnFinish(_fields);
};//EndFunction.
var _processHeader = function(header) {
var fields = _processSplitRow(header);
fields.map( function(item) { _fields.push({ name: item, _inferredTypes: [], _inferredValues: [] }); });
};//EndFunction.
var _processRow = function(row) {
//Avoid empty rows
if (typeof row === 'undefined') return;
row = row.trim();
if (row.length == 0) return;
//Process the ROW.
var values = _processSplitRow(row);
var i;
for (i=0; i<values.length; i++) {//Loop on the row values.
var inferredType = _processInferType(values[i]);
_arrUtil.testAndIncrement(_fields[i]._inferredTypes, inferredType.name);
if (inferredType === ChartProcessor.TYPES.TEXT)
_arrUtil.testAndIncrement(_fields[i]._inferredValues, values[i]);
if (inferredType === ChartProcessor.TYPES.LATITUDE || inferredType === ChartProcessor.TYPES.LONGITUDE)
_arrUtil.testAndIncrement(_fields[i]._inferredTypes, ChartProcessor.TYPES.NUMBER);
}//EndFor.
_numOfRows++;
};//EndFunction.
/**
* Given a dataset value, it tries to recognise the data types.
* This is the central function within the library.
* @param value
* @returns {*}
* @private
*/
var _processInferType = function(value) {
value = value.toLocaleString();
//Try to parse the float.
var isnumber = _dataTypesUtils.filterFloat(value);
if (isNaN(isnumber) !== true) {//It is a number.
//If the number ranges from -90.0 to 90.0, the value is marked as Latitude.
if (-90.0 <= isnumber && isnumber <= 90.0)
return ChartProcessor.TYPES.LATITUDE;
//It the number ranges from -180.0 to 180.0, the value is marked as Longitude.
if (-180.0 <= isnumber && isnumber <= 180.0)
return ChartProcessor.TYPES.LONGITUDE;
return ChartProcessor.TYPES.NUMBER;
}
return ChartProcessor.TYPES.TEXT;
};//EndFunction.
var _processSplitRow = function (row) {
return row.split(',');
};//EndFunction.
return {
constructor: ChartProcessor,
inferDataTypes: function (theUrl, callback) {
_fields = [];
_numOfRows = 0;
httpGetAsync(theUrl, callback);
}
};
})();