DataTypeAnalyser.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
**/
function DataTypeAnalyser() {}
DataTypeAnalyser.TYPES = {
TEXT : { value: 0, name: "TEXT" },
NUMBER : { value: 1, name: "NUMBER" },
PERCENTAGE : { value: 2, name: "PERCENTAGE" },
LATITUDE : { value: 3, name: "LATITUDE" },
LONGITUDE : { value: 4, name: "LONGITUDE" },
BOOL : { value: 5, name: "BOOL"},
CONST : { value: 6, name: "CONST" },
CATEGORY : { value: 7, name: "CATEGORY" },
DATETIME : { value: 8, name: "DATETIME" },
OBJECT : { value: 100, name: "OBJECT" }
};
DataTypeAnalyser.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 (jsonRows) {
//Check if the jsonRow is an array.
if (Array.isArray(jsonRows) == false) return;
for (var i=0; i<jsonRows.length; i++) {
var jsonRow = jsonRows[i];
_processRow(jsonRow);
}//EndFor.
_dataTypeAnalyser(_fields);
return _fields;
};//EndFunction.
var _processRow = function(row) {
//Avoid empty rows
if (typeof row === 'undefined') return;
//Get the object keys.
for (var property in row) {
if (row.hasOwnProperty(property)) {
var cellValue = row[property];
//if (property == 'votantspourcentages') debugger;
//if (property == 'va_no_voie') debugger;
var inferredType = _processInferType(cellValue);
if (typeof _fields[property] === 'undefined')
_fields[property] = { name: property, _inferredTypes: [], _inferredValues: [] };
_arrUtil.testAndIncrement(_fields[property]._inferredTypes, inferredType.name);
if (inferredType === DataTypeAnalyser.TYPES.TEXT)
_arrUtil.testAndIncrement(_fields[property]._inferredValues, cellValue);
if (inferredType === DataTypeAnalyser.TYPES.LATITUDE || inferredType === DataTypeAnalyser.TYPES.LONGITUDE)
_arrUtil.testAndIncrement(_fields[property]._inferredTypes, DataTypeAnalyser.TYPES.NUMBER);
}
}
_numOfRows++;
};//EndFunction.
var _dataTypeAnalyser = function(fields) {
_arrUtil.iteratorOverKeys(fields, 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 === DataTypeAnalyser.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 = DataTypeAnalyser.TYPES.LONGITUDE.name;
}*/
//BOOLEAN.
var numOfValues = Object.keys(field._inferredValues).length;
if (field.type === DataTypeAnalyser.TYPES.TEXT.name) {
if (numOfValues == 1) field.type = DataTypeAnalyser.TYPES.CONST.name;
//else if (numOfValues == 2) field.type = DataTypeAnalyser.TYPES.BOOL.name;
else if (numOfValues < _numOfRows * 0.20) field.type = DataTypeAnalyser.TYPES.CATEGORY.name;
}
});
};//EndFunction.
/*var _dataTypeAnalyserField = 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;
}
};//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();
if (typeof value === 'object')
return DataTypeAnalyser.TYPES.OBJECT;
//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 && _dataTypesUtils.decimalPlaces(isnumber) >= 5)
// return DataTypeAnalyser.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 && _dataTypesUtils.decimalPlaces(isnumber) >= 5)
// return DataTypeAnalyser.TYPES.LONGITUDE;
if (0.0 <= isnumber && isnumber <= 100.0)
if(/^(\+)?((0|([1-9][0-9]*))\.([0-9]+))$/ .test(value))
return DataTypeAnalyser.TYPES.PERCENTAGE;
return DataTypeAnalyser.TYPES.NUMBER;
}
var _date = Date.parse(value);
if (isNaN(_date) == false)
return DataTypeAnalyser.TYPES.DATETIME;
return DataTypeAnalyser.TYPES.TEXT;
};//EndFunction.
return {
constructor: DataTypeAnalyser,
inferDataTypes: function (jsonRows) {
_fields = [];
_numOfRows = 0;
_processDataset(jsonRows);
return _fields;
},//EndFunction.
inferDataTypeOfValue: function (value) {
return _processInferType(value);
}//EndFunction.
};
})();