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/**
* Experimental data export module for Highcharts
*
* (c) 2010-2019 Torstein Honsi
*
* License: www.highcharts.com/license
*/
// @todo
// - Set up systematic tests for all series types, paired with tests of the data
// module importing the same data.
'use strict';
import Highcharts from '../parts/Globals.js';
import '../parts/Utilities.js';
import '../parts/Chart.js';
import '../mixins/ajax.js';
import '../mixins/download-url.js';
var defined = Highcharts.defined,
pick = Highcharts.pick,
win = Highcharts.win,
doc = win.document,
seriesTypes = Highcharts.seriesTypes,
downloadURL = Highcharts.downloadURL,
fireEvent = Highcharts.fireEvent;
// Can we add this to utils? Also used in screen-reader.js
/**
* HTML encode some characters vulnerable for XSS.
* @private
* @param {string} html The input string
* @return {string} The excaped string
*/
function htmlencode(html) {
return html
.replace(/&/g, '&')
.replace(/</g, '<')
.replace(/>/g, '>')
.replace(/"/g, '"')
.replace(/'/g, ''')
.replace(/\//g, '/');
}
Highcharts.setOptions({
/**
* Export-data module required. When set to `false` will prevent the series
* data from being included in any form of data export.
*
* Since version 6.0.0 until 7.1.0 the option was existing undocumented
* as `includeInCSVExport`.
*
* @type {boolean}
* @since 7.1.0
* @apioption plotOptions.series.includeInDataExport
*/
/**
* @optionparent exporting
*
* @private
*/
exporting: {
/**
* Export-data module required. Caption for the data table. Same as
* chart title by default. Set to `false` to disable.
*
* @sample highcharts/export-data/multilevel-table
* Multiple table headers
*
* @type {boolean|string}
* @since 6.0.4
* @apioption exporting.tableCaption
*/
/**
* Options for exporting data to CSV or ExCel, or displaying the data
* in a HTML table or a JavaScript structure. Requires the
* `export-data.js` module. This module adds data export options to the
* export menu and provides functions like `Chart.getCSV`,
* `Chart.getTable`, `Chart.getDataRows` and `Chart.viewData`.
*
* The XLS converter is limited and only creates a HTML string that is
* passed for download, which works but creates a warning before
* opening. The workaround for this is to use a third party XLSX
* converter, as demonstrated in the sample below.
*
* @sample highcharts/export-data/categorized/ Categorized data
* @sample highcharts/export-data/stock-timeaxis/ Highstock time axis
* @sample highcharts/export-data/xlsx/
* Using a third party XLSX converter
*
* @since 6.0.0
*/
csv: {
/**
* Formatter callback for the column headers. Parameters are:
* - `item` - The series or axis object)
* - `key` - The point key, for example y or z
* - `keyLength` - The amount of value keys for this item, for
* example a range series has the keys `low` and `high` so the
* key length is 2.
*
* If [useMultiLevelHeaders](#exporting.useMultiLevelHeaders) is
* true, columnHeaderFormatter by default returns an object with
* columnTitle and topLevelColumnTitle for each key. Columns with
* the same topLevelColumnTitle have their titles merged into a
* single cell with colspan for table/Excel export.
*
* If `useMultiLevelHeaders` is false, or for CSV export, it returns
* the series name, followed by the key if there is more than one
* key.
*
* For the axis it returns the axis title or "Category" or
* "DateTime" by default.
*
* Return `false` to use Highcharts' proposed header.
*
* @sample highcharts/export-data/multilevel-table
* Multiple table headers
*
* @type {Function|null}
*/
columnHeaderFormatter: null,
/**
* Which date format to use for exported dates on a datetime X axis.
* See `Highcharts.dateFormat`.
*/
dateFormat: '%Y-%m-%d %H:%M:%S',
/**
* Which decimal point to use for exported CSV. Defaults to the same
* as the browser locale, typically `.` (English) or `,` (German,
* French etc).
*
* @type {string|null}
* @since 6.0.4
*/
decimalPoint: null,
/**
* The item delimiter in the exported data. Use `;` for direct
* exporting to Excel. Defaults to a best guess based on the browser
* locale. If the locale _decimal point_ is `,`, the `itemDelimiter`
* defaults to `;`, otherwise the `itemDelimiter` defaults to `,`.
*
* @type {string|null}
*/
itemDelimiter: null,
/**
* The line delimiter in the exported data, defaults to a newline.
*/
lineDelimiter: '\n'
},
/**
* Export-data module required. Show a HTML table below the chart with
* the chart's current data.
*
* @sample highcharts/export-data/showtable/
* Show the table
* @sample highcharts/studies/exporting-table-html
* Experiment with putting the table inside the subtitle to
* allow exporting it.
*
* @since 6.0.0
*/
showTable: false,
/**
* Export-data module required. Use multi level headers in data table.
* If [csv.columnHeaderFormatter](#exporting.csv.columnHeaderFormatter)
* is defined, it has to return objects in order for multi level headers
* to work.
*
* @sample highcharts/export-data/multilevel-table
* Multiple table headers
*
* @since 6.0.4
*/
useMultiLevelHeaders: true,
/**
* Export-data module required. If using multi level table headers, use
* rowspans for headers that have only one level.
*
* @sample highcharts/export-data/multilevel-table
* Multiple table headers
*
* @since 6.0.4
*/
useRowspanHeaders: true
},
/**
* @optionparent lang
*
* @private
*/
lang: {
/**
* Export-data module only. The text for the menu item.
*
* @since 6.0.0
*/
downloadCSV: 'Download CSV',
/**
* Export-data module only. The text for the menu item.
*
* @since 6.0.0
*/
downloadXLS: 'Download XLS',
/**
* Export-data module only. The text for the menu item.
*
* @since 6.1.0
*/
openInCloud: 'Open in Highcharts Cloud',
/**
* Export-data module only. The text for the menu item.
*
* @since 6.0.0
*/
viewData: 'View data table'
}
});
// Add an event listener to handle the showTable option
Highcharts.addEvent(Highcharts.Chart, 'render', function () {
if (
this.options &&
this.options.exporting &&
this.options.exporting.showTable
) {
this.viewData();
}
});
/**
* Set up key-to-axis bindings. This is used when the Y axis is datetime or
* categorized. For example in an arearange series, the low and high values
* should be formatted according to the Y axis type, and in order to link them
* we need this map.
*
* @private
* @function Highcharts.Chart#setUpKeyToAxis
*/
Highcharts.Chart.prototype.setUpKeyToAxis = function () {
if (seriesTypes.arearange) {
seriesTypes.arearange.prototype.keyToAxis = {
low: 'y',
high: 'y'
};
}
if (seriesTypes.gantt) {
seriesTypes.gantt.prototype.keyToAxis = {
start: 'x',
end: 'x'
};
}
};
/**
* Export-data module required. Returns a two-dimensional array containing the
* current chart data.
*
* @function Highcharts.Chart#getDataRows
*
* @param {boolean} multiLevelHeaders
* Use multilevel headers for the rows by default. Adds an extra row with
* top level headers. If a custom columnHeaderFormatter is defined, this
* can override the behavior.
*
* @return {Array<Array<number|string>>}
* The current chart data
*/
Highcharts.Chart.prototype.getDataRows = function (multiLevelHeaders) {
var time = this.time,
csvOptions = (this.options.exporting && this.options.exporting.csv) ||
{},
xAxis,
xAxes = this.xAxis,
rows = {},
rowArr = [],
dataRows,
topLevelColumnTitles = [],
columnTitles = [],
columnTitleObj,
i,
x,
xTitle,
// Options
columnHeaderFormatter = function (item, key, keyLength) {
if (csvOptions.columnHeaderFormatter) {
var s = csvOptions.columnHeaderFormatter(item, key, keyLength);
if (s !== false) {
return s;
}
}
if (!item) {
return 'Category';
}
if (item instanceof Highcharts.Axis) {
return (item.options.title && item.options.title.text) ||
(item.isDatetimeAxis ? 'DateTime' : 'Category');
}
if (multiLevelHeaders) {
return {
columnTitle: keyLength > 1 ? key : item.name,
topLevelColumnTitle: item.name
};
}
return item.name + (keyLength > 1 ? ' (' + key + ')' : '');
},
xAxisIndices = [];
// Loop the series and index values
i = 0;
this.setUpKeyToAxis();
this.series.forEach(function (series) {
var keys = series.options.keys,
pointArrayMap = keys || series.pointArrayMap || ['y'],
valueCount = pointArrayMap.length,
xTaken = !series.requireSorting && {},
categoryMap = {},
datetimeValueAxisMap = {},
xAxisIndex = xAxes.indexOf(series.xAxis),
mockSeries,
j;
// Map the categories for value axes
pointArrayMap.forEach(function (prop) {
var axisName = (
(series.keyToAxis && series.keyToAxis[prop]) ||
prop
) + 'Axis';
categoryMap[prop] = (
series[axisName] &&
series[axisName].categories
) || [];
datetimeValueAxisMap[prop] = (
series[axisName] &&
series[axisName].isDatetimeAxis
);
});
if (
series.options.includeInDataExport !== false &&
!series.options.isInternal &&
series.visible !== false // #55
) {
// Build a lookup for X axis index and the position of the first
// series that belongs to that X axis. Includes -1 for non-axis
// series types like pies.
if (!Highcharts.find(xAxisIndices, function (index) {
return index[0] === xAxisIndex;
})) {
xAxisIndices.push([xAxisIndex, i]);
}
// Compute the column headers and top level headers, usually the
// same as series names
j = 0;
while (j < valueCount) {
columnTitleObj = columnHeaderFormatter(
series,
pointArrayMap[j],
pointArrayMap.length
);
columnTitles.push(
columnTitleObj.columnTitle || columnTitleObj
);
if (multiLevelHeaders) {
topLevelColumnTitles.push(
columnTitleObj.topLevelColumnTitle || columnTitleObj
);
}
j++;
}
mockSeries = {
chart: series.chart,
autoIncrement: series.autoIncrement,
options: series.options,
pointArrayMap: series.pointArrayMap
};
// Export directly from options.data because we need the uncropped
// data (#7913), and we need to support Boost (#7026).
series.options.data.forEach(function eachData(options, pIdx) {
var key,
prop,
val,
name,
point;
point = { series: mockSeries };
series.pointClass.prototype.applyOptions.apply(
point,
[options]
);
key = point.x;
name = series.data[pIdx] && series.data[pIdx].name;
if (xTaken) {
if (xTaken[key]) {
key += '|' + pIdx;
}
xTaken[key] = true;
}
j = 0;
// Pies, funnels, geo maps etc. use point name in X row
if (!series.xAxis || series.exportKey === 'name') {
key = name;
}
if (!rows[key]) {
// Generate the row
rows[key] = [];
// Contain the X values from one or more X axes
rows[key].xValues = [];
}
rows[key].x = point.x;
rows[key].name = name;
rows[key].xValues[xAxisIndex] = point.x;
while (j < valueCount) {
prop = pointArrayMap[j]; // y, z etc
val = point[prop];
rows[key][i + j] = pick(
categoryMap[prop][val], // Y axis category if present
datetimeValueAxisMap[prop] ?
time.dateFormat(csvOptions.dateFormat, val) :
null,
val
);
j++;
}
});
i = i + j;
}
});
// Make a sortable array
for (x in rows) {
if (rows.hasOwnProperty(x)) {
rowArr.push(rows[x]);
}
}
var xAxisIndex, column;
// Add computed column headers and top level headers to final row set
dataRows = multiLevelHeaders ? [topLevelColumnTitles, columnTitles] :
[columnTitles];
i = xAxisIndices.length;
while (i--) { // Start from end to splice in
xAxisIndex = xAxisIndices[i][0];
column = xAxisIndices[i][1];
xAxis = xAxes[xAxisIndex];
// Sort it by X values
rowArr.sort(function (a, b) { // eslint-disable-line no-loop-func
return a.xValues[xAxisIndex] - b.xValues[xAxisIndex];
});
// Add header row
xTitle = columnHeaderFormatter(xAxis);
dataRows[0].splice(column, 0, xTitle);
if (multiLevelHeaders && dataRows[1]) {
// If using multi level headers, we just added top level header.
// Also add for sub level
dataRows[1].splice(column, 0, xTitle);
}
// Add the category column
rowArr.forEach(function (row) { // eslint-disable-line no-loop-func
var category = row.name;
if (xAxis && !defined(category)) {
if (xAxis.isDatetimeAxis) {
if (row.x instanceof Date) {
row.x = row.x.getTime();
}
category = time.dateFormat(
csvOptions.dateFormat,
row.x
);
} else if (xAxis.categories) {
category = pick(
xAxis.names[row.x],
xAxis.categories[row.x],
row.x
);
} else {
category = row.x;
}
}
// Add the X/date/category
row.splice(column, 0, category);
});
}
dataRows = dataRows.concat(rowArr);
fireEvent(this, 'exportData', { dataRows: dataRows });
return dataRows;
};
/**
* Export-data module required. Returns the current chart data as a CSV string.
*
* @function Highcharts.Chart#getCSV
*
* @param {boolean} useLocalDecimalPoint
* Whether to use the local decimal point as detected from the browser.
* This makes it easier to export data to Excel in the same locale as the
* user is.
*
* @return {string}
* CSV representation of the data
*/
Highcharts.Chart.prototype.getCSV = function (useLocalDecimalPoint) {
var csv = '',
rows = this.getDataRows(),
csvOptions = this.options.exporting.csv,
decimalPoint = pick(
csvOptions.decimalPoint,
csvOptions.itemDelimiter !== ',' && useLocalDecimalPoint ?
(1.1).toLocaleString()[1] :
'.'
),
// use ';' for direct to Excel
itemDelimiter = pick(
csvOptions.itemDelimiter,
decimalPoint === ',' ? ';' : ','
),
// '\n' isn't working with the js csv data extraction
lineDelimiter = csvOptions.lineDelimiter;
// Transform the rows to CSV
rows.forEach(function (row, i) {
var val = '',
j = row.length;
while (j--) {
val = row[j];
if (typeof val === 'string') {
val = '"' + val + '"';
}
if (typeof val === 'number') {
if (decimalPoint !== '.') {
val = val.toString().replace('.', decimalPoint);
}
}
row[j] = val;
}
// Add the values
csv += row.join(itemDelimiter);
// Add the line delimiter
if (i < rows.length - 1) {
csv += lineDelimiter;
}
});
return csv;
};
/**
* Export-data module required. Build a HTML table with the chart's current
* data.
*
* @sample highcharts/export-data/viewdata/
* View the data from the export menu
*
* @function Highcharts.Chart#getTable
*
* @param {boolean} useLocalDecimalPoint
* Whether to use the local decimal point as detected from the browser.
* This makes it easier to export data to Excel in the same locale as the
* user is.
*
* @return {string}
* HTML representation of the data.
*/
Highcharts.Chart.prototype.getTable = function (useLocalDecimalPoint) {
var html = '<table id="highcharts-data-table-' + this.index + '">',
options = this.options,
decimalPoint = useLocalDecimalPoint ? (1.1).toLocaleString()[1] : '.',
useMultiLevelHeaders = pick(
options.exporting.useMultiLevelHeaders, true
),
rows = this.getDataRows(useMultiLevelHeaders),
rowLength = 0,
topHeaders = useMultiLevelHeaders ? rows.shift() : null,
subHeaders = rows.shift(),
// Compare two rows for equality
isRowEqual = function (row1, row2) {
var i = row1.length;
if (row2.length === i) {
while (i--) {
if (row1[i] !== row2[i]) {
return false;
}
}
} else {
return false;
}
return true;
},
// Get table cell HTML from value
getCellHTMLFromValue = function (tag, classes, attrs, value) {
var val = pick(value, ''),
className = 'text' + (classes ? ' ' + classes : '');
// Convert to string if number
if (typeof val === 'number') {
val = val.toString();
if (decimalPoint === ',') {
val = val.replace('.', decimalPoint);
}
className = 'number';
} else if (!value) {
className = 'empty';
}
return '<' + tag + (attrs ? ' ' + attrs : '') +
' class="' + className + '">' +
val + '</' + tag + '>';
},
// Get table header markup from row data
getTableHeaderHTML = function (topheaders, subheaders, rowLength) {
var html = '<thead>',
i = 0,
len = rowLength || subheaders && subheaders.length,
next,
cur,
curColspan = 0,
rowspan;
// Clean up multiple table headers. Chart.getDataRows() returns two
// levels of headers when using multilevel, not merged. We need to
// merge identical headers, remove redundant headers, and keep it
// all marked up nicely.
if (
useMultiLevelHeaders &&
topheaders &&
subheaders &&
!isRowEqual(topheaders, subheaders)
) {
html += '<tr>';
for (; i < len; ++i) {
cur = topheaders[i];
next = topheaders[i + 1];
if (cur === next) {
++curColspan;
} else if (curColspan) {
// Ended colspan
// Add cur to HTML with colspan.
html += getCellHTMLFromValue(
'th',
'highcharts-table-topheading',
'scope="col" ' +
'colspan="' + (curColspan + 1) + '"',
cur
);
curColspan = 0;
} else {
// Cur is standalone. If it is same as sublevel,
// remove sublevel and add just toplevel.
if (cur === subheaders[i]) {
if (options.exporting.useRowspanHeaders) {
rowspan = 2;
delete subheaders[i];
} else {
rowspan = 1;
subheaders[i] = '';
}
} else {
rowspan = 1;
}
html += getCellHTMLFromValue(
'th',
'highcharts-table-topheading',
'scope="col"' +
(rowspan > 1 ?
' valign="top" rowspan="' + rowspan + '"' :
''),
cur
);
}
}
html += '</tr>';
}
// Add the subheaders (the only headers if not using multilevels)
if (subheaders) {
html += '<tr>';
for (i = 0, len = subheaders.length; i < len; ++i) {
if (subheaders[i] !== undefined) {
html += getCellHTMLFromValue(
'th', null, 'scope="col"', subheaders[i]
);
}
}
html += '</tr>';
}
html += '</thead>';
return html;
};
// Add table caption
if (options.exporting.tableCaption !== false) {
html += '<caption class="highcharts-table-caption">' + pick(
options.exporting.tableCaption,
(
options.title.text ?
htmlencode(options.title.text) :
'Chart'
)
) + '</caption>';
}
// Find longest row
for (var i = 0, len = rows.length; i < len; ++i) {
if (rows[i].length > rowLength) {
rowLength = rows[i].length;
}
}
// Add header
html += getTableHeaderHTML(
topHeaders,
subHeaders,
Math.max(rowLength, subHeaders.length)
);
// Transform the rows to HTML
html += '<tbody>';
rows.forEach(function (row) {
html += '<tr>';
for (var j = 0; j < rowLength; j++) {
// Make first column a header too. Especially important for
// category axes, but also might make sense for datetime? Should
// await user feedback on this.
html += getCellHTMLFromValue(
j ? 'td' : 'th',
null,
j ? '' : 'scope="row"',
row[j]
);
}
html += '</tr>';
});
html += '</tbody></table>';
var e = { html: html };
fireEvent(this, 'afterGetTable', e);
return e.html;
};
/**
* Get a blob object from content, if blob is supported
*
* @private
*
* @param {String} content The content to create the blob from.
* @param {String} type The type of the content.
* @return {object} The blob object, or undefined if not supported.
*/
function getBlobFromContent(content, type) {
if (win.Blob && win.navigator.msSaveOrOpenBlob) {
return new win.Blob(
['\uFEFF' + content], // #7084
{ type: type }
);
}
}
/**
* Call this on click of 'Download CSV' button
*
* @private
* @function Highcharts.Chart#downloadCSV
*/
Highcharts.Chart.prototype.downloadCSV = function () {
var csv = this.getCSV(true);
downloadURL(
getBlobFromContent(csv, 'text/csv') ||
'data:text/csv,\uFEFF' + encodeURIComponent(csv),
this.getFilename() + '.csv'
);
};
/**
* Call this on click of 'Download XLS' button
*
* @private
* @function Highcharts.Chart#downloadXLS
*/
Highcharts.Chart.prototype.downloadXLS = function () {
var uri = 'data:application/vnd.ms-excel;base64,',
template = '<html xmlns:o="urn:schemas-microsoft-com:office:office" ' +
'xmlns:x="urn:schemas-microsoft-com:office:excel" ' +
'xmlns="http://www.w3.org/TR/REC-html40">' +
'<head><!--[if gte mso 9]><xml><x:ExcelWorkbook>' +
'<x:ExcelWorksheets><x:ExcelWorksheet>' +
'<x:Name>Ark1</x:Name>' +
'<x:WorksheetOptions><x:DisplayGridlines/></x:WorksheetOptions>' +
'</x:ExcelWorksheet></x:ExcelWorksheets></x:ExcelWorkbook>' +
'</xml><![endif]-->' +
'<style>td{border:none;font-family: Calibri, sans-serif;} ' +
'.number{mso-number-format:"0.00";} ' +
'.text{ mso-number-format:"\@";}</style>' +
'<meta name=ProgId content=Excel.Sheet>' +
'<meta charset=UTF-8>' +
'</head><body>' +
this.getTable(true) +
'</body></html>',
base64 = function (s) {
return win.btoa(unescape(encodeURIComponent(s))); // #50
};
downloadURL(
getBlobFromContent(template, 'application/vnd.ms-excel') ||
uri + base64(template),
this.getFilename() + '.xls'
);
};
/**
* Export-data module required. View the data in a table below the chart.
*
* @function Highcharts.Chart#viewData
*/
Highcharts.Chart.prototype.viewData = function () {
if (!this.dataTableDiv) {
this.dataTableDiv = doc.createElement('div');
this.dataTableDiv.className = 'highcharts-data-table';
// Insert after the chart container
this.renderTo.parentNode.insertBefore(
this.dataTableDiv,
this.renderTo.nextSibling
);
}
this.dataTableDiv.innerHTML = this.getTable();
fireEvent(this, 'afterViewData', this.dataTableDiv);
};
/**
* Experimental function to send a chart's config to the Cloud for editing.
*
* Limitations
* - All functions (formatters and callbacks) are removed since they're not
* JSON.
*
* @function Highcharts.Chart#openInCloud
*
* @todo
* - Let the Cloud throw a friendly warning about unsupported structures like
* formatters.
* - Dynamically updated charts probably fail, we need a generic
* Chart.getOptions function that returns all non-default options. Should also
* be used by the export module.
*/
Highcharts.Chart.prototype.openInCloud = function () {
var options,
paramObj,
params;
// Recursively remove function callbacks
function removeFunctions(ob) {
Object.keys(ob).forEach(function (key) {
if (typeof ob[key] === 'function') {
delete ob[key];
}
if (Highcharts.isObject(ob[key])) { // object and not an array
removeFunctions(ob[key]);
}
});
}
function openInCloud() {
var form = doc.createElement('form');
doc.body.appendChild(form);
form.method = 'post';
form.action = 'https://cloud-api.highcharts.com/openincloud';
form.target = '_blank';
var input = doc.createElement('input');
input.type = 'hidden';
input.name = 'chart';
input.value = params;
form.appendChild(input);
form.submit();
doc.body.removeChild(form);
}
options = Highcharts.merge(this.userOptions);
removeFunctions(options);
paramObj = {
name: (options.title && options.title.text) || 'Chart title',
options: options,
settings: {
constructor: 'Chart',
dataProvider: {
csv: this.getCSV()
}
}
};
params = JSON.stringify(paramObj);
openInCloud();
};
// Add "Download CSV" to the exporting menu.
var exportingOptions = Highcharts.getOptions().exporting;
if (exportingOptions) {
Highcharts.extend(exportingOptions.menuItemDefinitions, {
downloadCSV: {
textKey: 'downloadCSV',
onclick: function () {
this.downloadCSV();
}
},
downloadXLS: {
textKey: 'downloadXLS',
onclick: function () {
this.downloadXLS();
}
},
viewData: {
textKey: 'viewData',
onclick: function () {
this.viewData();
}
},
openInCloud: {
textKey: 'openInCloud',
onclick: function () {
this.openInCloud();
}
}
});
if (exportingOptions.buttons) {
exportingOptions.buttons.contextButton.menuItems.push(
'separator',
'downloadCSV',
'downloadXLS',
'viewData',
'openInCloud'
);
}
}
// Series specific
if (seriesTypes.map) {
seriesTypes.map.prototype.exportKey = 'name';
}
if (seriesTypes.mapbubble) {
seriesTypes.mapbubble.prototype.exportKey = 'name';
}
if (seriesTypes.treemap) {
seriesTypes.treemap.prototype.exportKey = 'name';
}