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953 lines
26 KiB
953 lines
26 KiB
/**
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* @license Highcharts JS v4.1.8 (2015-08-20)
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* Data module
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*
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* (c) 2012-2014 Torstein Honsi
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*
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* License: www.highcharts.com/license
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*/
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// JSLint options:
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/*global jQuery, HighchartsAdapter */
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(function (Highcharts) {
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// Utilities
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var each = Highcharts.each,
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pick = Highcharts.pick,
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inArray = HighchartsAdapter.inArray,
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splat = Highcharts.splat,
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SeriesBuilder;
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// The Data constructor
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var Data = function (dataOptions, chartOptions) {
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this.init(dataOptions, chartOptions);
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};
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// Set the prototype properties
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Highcharts.extend(Data.prototype, {
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/**
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* Initialize the Data object with the given options
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*/
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init: function (options, chartOptions) {
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this.options = options;
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this.chartOptions = chartOptions;
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this.columns = options.columns || this.rowsToColumns(options.rows) || [];
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this.firstRowAsNames = pick(options.firstRowAsNames, true);
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this.decimalRegex = options.decimalPoint && new RegExp('^([0-9]+)' + options.decimalPoint + '([0-9]+)$');
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// This is a two-dimensional array holding the raw, trimmed string values
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// with the same organisation as the columns array. It makes it possible
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// for example to revert from interpreted timestamps to string-based
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// categories.
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this.rawColumns = [];
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// No need to parse or interpret anything
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if (this.columns.length) {
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this.dataFound();
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// Parse and interpret
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} else {
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// Parse a CSV string if options.csv is given
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this.parseCSV();
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// Parse a HTML table if options.table is given
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this.parseTable();
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// Parse a Google Spreadsheet
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this.parseGoogleSpreadsheet();
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}
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},
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/**
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* Get the column distribution. For example, a line series takes a single column for
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* Y values. A range series takes two columns for low and high values respectively,
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* and an OHLC series takes four columns.
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*/
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getColumnDistribution: function () {
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var chartOptions = this.chartOptions,
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options = this.options,
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xColumns = [],
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getValueCount = function (type) {
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return (Highcharts.seriesTypes[type || 'line'].prototype.pointArrayMap || [0]).length;
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},
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getPointArrayMap = function (type) {
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return Highcharts.seriesTypes[type || 'line'].prototype.pointArrayMap;
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},
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globalType = chartOptions && chartOptions.chart && chartOptions.chart.type,
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individualCounts = [],
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seriesBuilders = [],
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seriesIndex = 0,
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i;
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each((chartOptions && chartOptions.series) || [], function (series) {
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individualCounts.push(getValueCount(series.type || globalType));
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});
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// Collect the x-column indexes from seriesMapping
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each((options && options.seriesMapping) || [], function (mapping) {
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xColumns.push(mapping.x || 0);
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});
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// If there are no defined series with x-columns, use the first column as x column
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if (xColumns.length === 0) {
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xColumns.push(0);
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}
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// Loop all seriesMappings and constructs SeriesBuilders from
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// the mapping options.
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each((options && options.seriesMapping) || [], function (mapping) {
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var builder = new SeriesBuilder(),
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name,
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numberOfValueColumnsNeeded = individualCounts[seriesIndex] || getValueCount(globalType),
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seriesArr = (chartOptions && chartOptions.series) || [],
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series = seriesArr[seriesIndex] || {},
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pointArrayMap = getPointArrayMap(series.type || globalType) || ['y'];
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// Add an x reader from the x property or from an undefined column
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// if the property is not set. It will then be auto populated later.
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builder.addColumnReader(mapping.x, 'x');
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// Add all column mappings
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for (name in mapping) {
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if (mapping.hasOwnProperty(name) && name !== 'x') {
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builder.addColumnReader(mapping[name], name);
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}
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}
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// Add missing columns
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for (i = 0; i < numberOfValueColumnsNeeded; i++) {
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if (!builder.hasReader(pointArrayMap[i])) {
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//builder.addNextColumnReader(pointArrayMap[i]);
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// Create and add a column reader for the next free column index
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builder.addColumnReader(undefined, pointArrayMap[i]);
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}
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}
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seriesBuilders.push(builder);
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seriesIndex++;
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});
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var globalPointArrayMap = getPointArrayMap(globalType);
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if (globalPointArrayMap === undefined) {
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globalPointArrayMap = ['y'];
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}
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this.valueCount = {
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global: getValueCount(globalType),
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xColumns: xColumns,
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individual: individualCounts,
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seriesBuilders: seriesBuilders,
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globalPointArrayMap: globalPointArrayMap
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};
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},
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/**
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* When the data is parsed into columns, either by CSV, table, GS or direct input,
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* continue with other operations.
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*/
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dataFound: function () {
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if (this.options.switchRowsAndColumns) {
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this.columns = this.rowsToColumns(this.columns);
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}
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// Interpret the info about series and columns
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this.getColumnDistribution();
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// Interpret the values into right types
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this.parseTypes();
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// Handle columns if a handleColumns callback is given
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if (this.parsed() !== false) {
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// Complete if a complete callback is given
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this.complete();
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}
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},
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/**
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* Parse a CSV input string
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*/
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parseCSV: function () {
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var self = this,
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options = this.options,
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csv = options.csv,
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columns = this.columns,
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startRow = options.startRow || 0,
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endRow = options.endRow || Number.MAX_VALUE,
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startColumn = options.startColumn || 0,
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endColumn = options.endColumn || Number.MAX_VALUE,
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itemDelimiter,
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lines,
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activeRowNo = 0;
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if (csv) {
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lines = csv
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.replace(/\r\n/g, "\n") // Unix
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.replace(/\r/g, "\n") // Mac
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.split(options.lineDelimiter || "\n");
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itemDelimiter = options.itemDelimiter || (csv.indexOf('\t') !== -1 ? '\t' : ',');
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each(lines, function (line, rowNo) {
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var trimmed = self.trim(line),
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isComment = trimmed.indexOf('#') === 0,
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isBlank = trimmed === '',
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items;
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if (rowNo >= startRow && rowNo <= endRow && !isComment && !isBlank) {
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items = line.split(itemDelimiter);
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each(items, function (item, colNo) {
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if (colNo >= startColumn && colNo <= endColumn) {
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if (!columns[colNo - startColumn]) {
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columns[colNo - startColumn] = [];
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}
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columns[colNo - startColumn][activeRowNo] = item;
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}
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});
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activeRowNo += 1;
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}
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});
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this.dataFound();
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}
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},
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/**
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* Parse a HTML table
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*/
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parseTable: function () {
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var options = this.options,
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table = options.table,
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columns = this.columns,
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startRow = options.startRow || 0,
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endRow = options.endRow || Number.MAX_VALUE,
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startColumn = options.startColumn || 0,
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endColumn = options.endColumn || Number.MAX_VALUE;
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if (table) {
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if (typeof table === 'string') {
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table = document.getElementById(table);
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}
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each(table.getElementsByTagName('tr'), function (tr, rowNo) {
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if (rowNo >= startRow && rowNo <= endRow) {
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each(tr.children, function (item, colNo) {
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if ((item.tagName === 'TD' || item.tagName === 'TH') && colNo >= startColumn && colNo <= endColumn) {
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if (!columns[colNo - startColumn]) {
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columns[colNo - startColumn] = [];
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}
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columns[colNo - startColumn][rowNo - startRow] = item.innerHTML;
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}
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});
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}
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});
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this.dataFound(); // continue
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}
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},
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/**
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*/
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parseGoogleSpreadsheet: function () {
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var self = this,
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options = this.options,
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googleSpreadsheetKey = options.googleSpreadsheetKey,
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columns = this.columns,
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startRow = options.startRow || 0,
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endRow = options.endRow || Number.MAX_VALUE,
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startColumn = options.startColumn || 0,
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endColumn = options.endColumn || Number.MAX_VALUE,
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gr, // google row
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gc; // google column
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if (googleSpreadsheetKey) {
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jQuery.ajax({
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dataType: 'json',
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url: 'https://spreadsheets.google.com/feeds/cells/' +
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googleSpreadsheetKey + '/' + (options.googleSpreadsheetWorksheet || 'od6') +
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'/public/values?alt=json-in-script&callback=?',
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error: options.error,
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success: function (json) {
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// Prepare the data from the spreadsheat
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var cells = json.feed.entry,
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cell,
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cellCount = cells.length,
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colCount = 0,
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rowCount = 0,
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i;
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// First, find the total number of columns and rows that
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// are actually filled with data
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for (i = 0; i < cellCount; i++) {
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cell = cells[i];
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colCount = Math.max(colCount, cell.gs$cell.col);
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rowCount = Math.max(rowCount, cell.gs$cell.row);
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}
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// Set up arrays containing the column data
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for (i = 0; i < colCount; i++) {
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if (i >= startColumn && i <= endColumn) {
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// Create new columns with the length of either end-start or rowCount
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columns[i - startColumn] = [];
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// Setting the length to avoid jslint warning
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columns[i - startColumn].length = Math.min(rowCount, endRow - startRow);
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}
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}
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// Loop over the cells and assign the value to the right
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// place in the column arrays
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for (i = 0; i < cellCount; i++) {
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cell = cells[i];
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gr = cell.gs$cell.row - 1; // rows start at 1
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gc = cell.gs$cell.col - 1; // columns start at 1
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// If both row and col falls inside start and end
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// set the transposed cell value in the newly created columns
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if (gc >= startColumn && gc <= endColumn &&
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gr >= startRow && gr <= endRow) {
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columns[gc - startColumn][gr - startRow] = cell.content.$t;
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}
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}
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self.dataFound();
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}
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});
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}
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},
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/**
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* Trim a string from whitespace
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*/
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trim: function (str, inside) {
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if (typeof str === 'string') {
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str = str.replace(/^\s+|\s+$/g, '');
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// Clear white space insdie the string, like thousands separators
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if (inside && /^[0-9\s]+$/.test(str)) {
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str = str.replace(/\s/g, '');
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}
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if (this.decimalRegex) {
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str = str.replace(this.decimalRegex, '$1.$2');
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}
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}
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return str;
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},
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/**
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* Parse numeric cells in to number types and date types in to true dates.
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*/
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parseTypes: function () {
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var columns = this.columns,
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col = columns.length;
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while (col--) {
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this.parseColumn(columns[col], col);
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}
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},
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/**
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* Parse a single column. Set properties like .isDatetime and .isNumeric.
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*/
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parseColumn: function (column, col) {
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var rawColumns = this.rawColumns,
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columns = this.columns,
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row = column.length,
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val,
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floatVal,
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trimVal,
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trimInsideVal,
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firstRowAsNames = this.firstRowAsNames,
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isXColumn = inArray(col, this.valueCount.xColumns) !== -1,
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dateVal,
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backup = [],
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diff,
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chartOptions = this.chartOptions,
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descending,
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columnTypes = this.options.columnTypes || [],
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columnType = columnTypes[col],
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forceCategory = isXColumn && ((chartOptions && chartOptions.xAxis && splat(chartOptions.xAxis)[0].type === 'category') || columnType === 'string');
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if (!rawColumns[col]) {
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rawColumns[col] = [];
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}
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while (row--) {
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val = backup[row] || column[row];
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trimVal = this.trim(val);
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trimInsideVal = this.trim(val, true);
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floatVal = parseFloat(trimInsideVal);
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// Set it the first time
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if (rawColumns[col][row] === undefined) {
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rawColumns[col][row] = trimVal;
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}
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// Disable number or date parsing by setting the X axis type to category
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if (forceCategory || (row === 0 && firstRowAsNames)) {
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column[row] = trimVal;
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} else if (+trimInsideVal === floatVal) { // is numeric
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column[row] = floatVal;
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// If the number is greater than milliseconds in a year, assume datetime
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if (floatVal > 365 * 24 * 3600 * 1000 && columnType !== 'float') {
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column.isDatetime = true;
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} else {
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column.isNumeric = true;
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}
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if (column[row + 1] !== undefined) {
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descending = floatVal > column[row + 1];
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}
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// String, continue to determine if it is a date string or really a string
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} else {
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dateVal = this.parseDate(val);
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// Only allow parsing of dates if this column is an x-column
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if (isXColumn && typeof dateVal === 'number' && !isNaN(dateVal) && columnType !== 'float') { // is date
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backup[row] = val;
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column[row] = dateVal;
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column.isDatetime = true;
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// Check if the dates are uniformly descending or ascending. If they
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// are not, chances are that they are a different time format, so check
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// for alternative.
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if (column[row + 1] !== undefined) {
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diff = dateVal > column[row + 1];
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if (diff !== descending && descending !== undefined) {
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if (this.alternativeFormat) {
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this.dateFormat = this.alternativeFormat;
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row = column.length;
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this.alternativeFormat = this.dateFormats[this.dateFormat].alternative;
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} else {
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column.unsorted = true;
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}
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}
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descending = diff;
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}
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} else { // string
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column[row] = trimVal === '' ? null : trimVal;
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if (row !== 0 && (column.isDatetime || column.isNumeric)) {
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column.mixed = true;
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}
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}
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}
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}
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// If strings are intermixed with numbers or dates in a parsed column, it is an indication
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// that parsing went wrong or the data was not intended to display as numbers or dates and
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// parsing is too aggressive. Fall back to categories. Demonstrated in the
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// highcharts/demo/column-drilldown sample.
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if (isXColumn && column.mixed) {
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columns[col] = rawColumns[col];
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}
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// If the 0 column is date or number and descending, reverse all columns.
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if (isXColumn && descending && this.options.sort) {
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for (col = 0; col < columns.length; col++) {
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columns[col].reverse();
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if (firstRowAsNames) {
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columns[col].unshift(columns[col].pop());
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}
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}
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}
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},
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/**
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* A collection of available date formats, extendable from the outside to support
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* custom date formats.
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*/
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dateFormats: {
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'YYYY-mm-dd': {
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regex: /^([0-9]{4})[\-\/\.]([0-9]{2})[\-\/\.]([0-9]{2})$/,
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parser: function (match) {
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return Date.UTC(+match[1], match[2] - 1, +match[3]);
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}
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},
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'dd/mm/YYYY': {
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regex: /^([0-9]{1,2})[\-\/\.]([0-9]{1,2})[\-\/\.]([0-9]{4})$/,
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parser: function (match) {
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return Date.UTC(+match[3], match[2] - 1, +match[1]);
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},
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alternative: 'mm/dd/YYYY' // different format with the same regex
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},
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'mm/dd/YYYY': {
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regex: /^([0-9]{1,2})[\-\/\.]([0-9]{1,2})[\-\/\.]([0-9]{4})$/,
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parser: function (match) {
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return Date.UTC(+match[3], match[1] - 1, +match[2]);
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}
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},
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'dd/mm/YY': {
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regex: /^([0-9]{1,2})[\-\/\.]([0-9]{1,2})[\-\/\.]([0-9]{2})$/,
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parser: function (match) {
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return Date.UTC(+match[3] + 2000, match[2] - 1, +match[1]);
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},
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alternative: 'mm/dd/YY' // different format with the same regex
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},
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'mm/dd/YY': {
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regex: /^([0-9]{1,2})[\-\/\.]([0-9]{1,2})[\-\/\.]([0-9]{2})$/,
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parser: function (match) {
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return Date.UTC(+match[3] + 2000, match[1] - 1, +match[2]);
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}
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}
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},
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/**
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* Parse a date and return it as a number. Overridable through options.parseDate.
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*/
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parseDate: function (val) {
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var parseDate = this.options.parseDate,
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ret,
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key,
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format,
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dateFormat = this.options.dateFormat || this.dateFormat,
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match;
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if (parseDate) {
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ret = parseDate(val);
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} else if (typeof val === 'string') {
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// Auto-detect the date format the first time
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if (!dateFormat) {
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for (key in this.dateFormats) {
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format = this.dateFormats[key];
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match = val.match(format.regex);
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if (match) {
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this.dateFormat = dateFormat = key;
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this.alternativeFormat = format.alternative;
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ret = format.parser(match);
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break;
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}
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}
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// Next time, use the one previously found
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} else {
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format = this.dateFormats[dateFormat];
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|
match = val.match(format.regex);
|
|
if (match) {
|
|
ret = format.parser(match);
|
|
}
|
|
}
|
|
// Fall back to Date.parse
|
|
if (!match) {
|
|
match = Date.parse(val);
|
|
// External tools like Date.js and MooTools extend Date object and
|
|
// returns a date.
|
|
if (typeof match === 'object' && match !== null && match.getTime) {
|
|
ret = match.getTime() - match.getTimezoneOffset() * 60000;
|
|
|
|
// Timestamp
|
|
} else if (typeof match === 'number' && !isNaN(match)) {
|
|
ret = match - (new Date(match)).getTimezoneOffset() * 60000;
|
|
}
|
|
}
|
|
}
|
|
return ret;
|
|
},
|
|
|
|
/**
|
|
* Reorganize rows into columns
|
|
*/
|
|
rowsToColumns: function (rows) {
|
|
var row,
|
|
rowsLength,
|
|
col,
|
|
colsLength,
|
|
columns;
|
|
|
|
if (rows) {
|
|
columns = [];
|
|
rowsLength = rows.length;
|
|
for (row = 0; row < rowsLength; row++) {
|
|
colsLength = rows[row].length;
|
|
for (col = 0; col < colsLength; col++) {
|
|
if (!columns[col]) {
|
|
columns[col] = [];
|
|
}
|
|
columns[col][row] = rows[row][col];
|
|
}
|
|
}
|
|
}
|
|
return columns;
|
|
},
|
|
|
|
/**
|
|
* A hook for working directly on the parsed columns
|
|
*/
|
|
parsed: function () {
|
|
if (this.options.parsed) {
|
|
return this.options.parsed.call(this, this.columns);
|
|
}
|
|
},
|
|
|
|
getFreeIndexes: function (numberOfColumns, seriesBuilders) {
|
|
var s,
|
|
i,
|
|
freeIndexes = [],
|
|
freeIndexValues = [],
|
|
referencedIndexes;
|
|
|
|
// Add all columns as free
|
|
for (i = 0; i < numberOfColumns; i = i + 1) {
|
|
freeIndexes.push(true);
|
|
}
|
|
|
|
// Loop all defined builders and remove their referenced columns
|
|
for (s = 0; s < seriesBuilders.length; s = s + 1) {
|
|
referencedIndexes = seriesBuilders[s].getReferencedColumnIndexes();
|
|
|
|
for (i = 0; i < referencedIndexes.length; i = i + 1) {
|
|
freeIndexes[referencedIndexes[i]] = false;
|
|
}
|
|
}
|
|
|
|
// Collect the values for the free indexes
|
|
for (i = 0; i < freeIndexes.length; i = i + 1) {
|
|
if (freeIndexes[i]) {
|
|
freeIndexValues.push(i);
|
|
}
|
|
}
|
|
|
|
return freeIndexValues;
|
|
},
|
|
|
|
/**
|
|
* If a complete callback function is provided in the options, interpret the
|
|
* columns into a Highcharts options object.
|
|
*/
|
|
complete: function () {
|
|
|
|
var columns = this.columns,
|
|
xColumns = [],
|
|
type,
|
|
options = this.options,
|
|
series,
|
|
data,
|
|
i,
|
|
j,
|
|
r,
|
|
seriesIndex,
|
|
chartOptions,
|
|
allSeriesBuilders = [],
|
|
builder,
|
|
freeIndexes,
|
|
typeCol,
|
|
index;
|
|
|
|
xColumns.length = columns.length;
|
|
if (options.complete || options.afterComplete) {
|
|
|
|
// Get the names and shift the top row
|
|
for (i = 0; i < columns.length; i++) {
|
|
if (this.firstRowAsNames) {
|
|
columns[i].name = columns[i].shift();
|
|
}
|
|
}
|
|
|
|
// Use the next columns for series
|
|
series = [];
|
|
freeIndexes = this.getFreeIndexes(columns.length, this.valueCount.seriesBuilders);
|
|
|
|
// Populate defined series
|
|
for (seriesIndex = 0; seriesIndex < this.valueCount.seriesBuilders.length; seriesIndex++) {
|
|
builder = this.valueCount.seriesBuilders[seriesIndex];
|
|
|
|
// If the builder can be populated with remaining columns, then add it to allBuilders
|
|
if (builder.populateColumns(freeIndexes)) {
|
|
allSeriesBuilders.push(builder);
|
|
}
|
|
}
|
|
|
|
// Populate dynamic series
|
|
while (freeIndexes.length > 0) {
|
|
builder = new SeriesBuilder();
|
|
builder.addColumnReader(0, 'x');
|
|
|
|
// Mark index as used (not free)
|
|
index = inArray(0, freeIndexes);
|
|
if (index !== -1) {
|
|
freeIndexes.splice(index, 1);
|
|
}
|
|
|
|
for (i = 0; i < this.valueCount.global; i++) {
|
|
// Create and add a column reader for the next free column index
|
|
builder.addColumnReader(undefined, this.valueCount.globalPointArrayMap[i]);
|
|
}
|
|
|
|
// If the builder can be populated with remaining columns, then add it to allBuilders
|
|
if (builder.populateColumns(freeIndexes)) {
|
|
allSeriesBuilders.push(builder);
|
|
}
|
|
}
|
|
|
|
// Get the data-type from the first series x column
|
|
if (allSeriesBuilders.length > 0 && allSeriesBuilders[0].readers.length > 0) {
|
|
typeCol = columns[allSeriesBuilders[0].readers[0].columnIndex];
|
|
if (typeCol !== undefined) {
|
|
if (typeCol.isDatetime) {
|
|
type = 'datetime';
|
|
} else if (!typeCol.isNumeric) {
|
|
type = 'category';
|
|
}
|
|
}
|
|
}
|
|
// Axis type is category, then the "x" column should be called "name"
|
|
if (type === 'category') {
|
|
for (seriesIndex = 0; seriesIndex < allSeriesBuilders.length; seriesIndex++) {
|
|
builder = allSeriesBuilders[seriesIndex];
|
|
for (r = 0; r < builder.readers.length; r++) {
|
|
if (builder.readers[r].configName === 'x') {
|
|
builder.readers[r].configName = 'name';
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
// Read data for all builders
|
|
for (seriesIndex = 0; seriesIndex < allSeriesBuilders.length; seriesIndex++) {
|
|
builder = allSeriesBuilders[seriesIndex];
|
|
|
|
// Iterate down the cells of each column and add data to the series
|
|
data = [];
|
|
for (j = 0; j < columns[0].length; j++) { // TODO: which column's length should we use here
|
|
data[j] = builder.read(columns, j);
|
|
}
|
|
|
|
// Add the series
|
|
series[seriesIndex] = {
|
|
data: data
|
|
};
|
|
if (builder.name) {
|
|
series[seriesIndex].name = builder.name;
|
|
}
|
|
if (type === 'category') {
|
|
series[seriesIndex].turboThreshold = 0;
|
|
}
|
|
}
|
|
|
|
|
|
|
|
// Do the callback
|
|
chartOptions = {
|
|
series: series
|
|
};
|
|
if (type) {
|
|
chartOptions.xAxis = {
|
|
type: type
|
|
};
|
|
}
|
|
|
|
if (options.complete) {
|
|
options.complete(chartOptions);
|
|
}
|
|
|
|
// The afterComplete hook is used internally to avoid conflict with the externally
|
|
// available complete option.
|
|
if (options.afterComplete) {
|
|
options.afterComplete(chartOptions);
|
|
}
|
|
}
|
|
}
|
|
});
|
|
|
|
// Register the Data prototype and data function on Highcharts
|
|
Highcharts.Data = Data;
|
|
Highcharts.data = function (options, chartOptions) {
|
|
return new Data(options, chartOptions);
|
|
};
|
|
|
|
// Extend Chart.init so that the Chart constructor accepts a new configuration
|
|
// option group, data.
|
|
Highcharts.wrap(Highcharts.Chart.prototype, 'init', function (proceed, userOptions, callback) {
|
|
var chart = this;
|
|
|
|
if (userOptions && userOptions.data) {
|
|
Highcharts.data(Highcharts.extend(userOptions.data, {
|
|
|
|
afterComplete: function (dataOptions) {
|
|
var i, series;
|
|
|
|
// Merge series configs
|
|
if (userOptions.hasOwnProperty('series')) {
|
|
if (typeof userOptions.series === 'object') {
|
|
i = Math.max(userOptions.series.length, dataOptions.series.length);
|
|
while (i--) {
|
|
series = userOptions.series[i] || {};
|
|
userOptions.series[i] = Highcharts.merge(series, dataOptions.series[i]);
|
|
}
|
|
} else { // Allow merging in dataOptions.series (#2856)
|
|
delete userOptions.series;
|
|
}
|
|
}
|
|
|
|
// Do the merge
|
|
userOptions = Highcharts.merge(dataOptions, userOptions);
|
|
|
|
proceed.call(chart, userOptions, callback);
|
|
}
|
|
}), userOptions);
|
|
} else {
|
|
proceed.call(chart, userOptions, callback);
|
|
}
|
|
});
|
|
|
|
/**
|
|
* Creates a new SeriesBuilder. A SeriesBuilder consists of a number
|
|
* of ColumnReaders that reads columns and give them a name.
|
|
* Ex: A series builder can be constructed to read column 3 as 'x' and
|
|
* column 7 and 8 as 'y1' and 'y2'.
|
|
* The output would then be points/rows of the form {x: 11, y1: 22, y2: 33}
|
|
*
|
|
* The name of the builder is taken from the second column. In the above
|
|
* example it would be the column with index 7.
|
|
* @constructor
|
|
*/
|
|
SeriesBuilder = function () {
|
|
this.readers = [];
|
|
this.pointIsArray = true;
|
|
};
|
|
|
|
/**
|
|
* Populates readers with column indexes. A reader can be added without
|
|
* a specific index and for those readers the index is taken sequentially
|
|
* from the free columns (this is handled by the ColumnCursor instance).
|
|
* @returns {boolean}
|
|
*/
|
|
SeriesBuilder.prototype.populateColumns = function (freeIndexes) {
|
|
var builder = this,
|
|
enoughColumns = true;
|
|
|
|
// Loop each reader and give it an index if its missing.
|
|
// The freeIndexes.shift() will return undefined if there
|
|
// are no more columns.
|
|
each(builder.readers, function (reader) {
|
|
if (reader.columnIndex === undefined) {
|
|
reader.columnIndex = freeIndexes.shift();
|
|
}
|
|
});
|
|
|
|
// Now, all readers should have columns mapped. If not
|
|
// then return false to signal that this series should
|
|
// not be added.
|
|
each(builder.readers, function (reader) {
|
|
if (reader.columnIndex === undefined) {
|
|
enoughColumns = false;
|
|
}
|
|
});
|
|
|
|
return enoughColumns;
|
|
};
|
|
|
|
/**
|
|
* Reads a row from the dataset and returns a point or array depending
|
|
* on the names of the readers.
|
|
* @param columns
|
|
* @param rowIndex
|
|
* @returns {Array | Object}
|
|
*/
|
|
SeriesBuilder.prototype.read = function (columns, rowIndex) {
|
|
var builder = this,
|
|
pointIsArray = builder.pointIsArray,
|
|
point = pointIsArray ? [] : {},
|
|
columnIndexes;
|
|
|
|
// Loop each reader and ask it to read its value.
|
|
// Then, build an array or point based on the readers names.
|
|
each(builder.readers, function (reader) {
|
|
var value = columns[reader.columnIndex][rowIndex];
|
|
if (pointIsArray) {
|
|
point.push(value);
|
|
} else {
|
|
point[reader.configName] = value;
|
|
}
|
|
});
|
|
|
|
// The name comes from the first column (excluding the x column)
|
|
if (this.name === undefined && builder.readers.length >= 2) {
|
|
columnIndexes = builder.getReferencedColumnIndexes();
|
|
if (columnIndexes.length >= 2) {
|
|
// remove the first one (x col)
|
|
columnIndexes.shift();
|
|
|
|
// Sort the remaining
|
|
columnIndexes.sort();
|
|
|
|
// Now use the lowest index as name column
|
|
this.name = columns[columnIndexes.shift()].name;
|
|
}
|
|
}
|
|
|
|
return point;
|
|
};
|
|
|
|
/**
|
|
* Creates and adds ColumnReader from the given columnIndex and configName.
|
|
* ColumnIndex can be undefined and in that case the reader will be given
|
|
* an index when columns are populated.
|
|
* @param columnIndex {Number | undefined}
|
|
* @param configName
|
|
*/
|
|
SeriesBuilder.prototype.addColumnReader = function (columnIndex, configName) {
|
|
this.readers.push({
|
|
columnIndex: columnIndex,
|
|
configName: configName
|
|
});
|
|
|
|
if (!(configName === 'x' || configName === 'y' || configName === undefined)) {
|
|
this.pointIsArray = false;
|
|
}
|
|
};
|
|
|
|
/**
|
|
* Returns an array of column indexes that the builder will use when
|
|
* reading data.
|
|
* @returns {Array}
|
|
*/
|
|
SeriesBuilder.prototype.getReferencedColumnIndexes = function () {
|
|
var i,
|
|
referencedColumnIndexes = [],
|
|
columnReader;
|
|
|
|
for (i = 0; i < this.readers.length; i = i + 1) {
|
|
columnReader = this.readers[i];
|
|
if (columnReader.columnIndex !== undefined) {
|
|
referencedColumnIndexes.push(columnReader.columnIndex);
|
|
}
|
|
}
|
|
|
|
return referencedColumnIndexes;
|
|
};
|
|
|
|
/**
|
|
* Returns true if the builder has a reader for the given configName.
|
|
* @param configName
|
|
* @returns {boolean}
|
|
*/
|
|
SeriesBuilder.prototype.hasReader = function (configName) {
|
|
var i, columnReader;
|
|
for (i = 0; i < this.readers.length; i = i + 1) {
|
|
columnReader = this.readers[i];
|
|
if (columnReader.configName === configName) {
|
|
return true;
|
|
}
|
|
}
|
|
// Else return undefined
|
|
};
|
|
|
|
|
|
|
|
}(Highcharts));
|