import Data from '../modules/Data'
import AxesUtils from '../modules/axes/AxesUtils'
import Series from '../modules/Series'
import Utils from '../utils/Utils'
class Exports {
constructor(ctx) {
this.ctx = ctx
this.w = ctx.w
}
scaleSvgNode(svg, scale) {
// get current both width and height of the svg
let svgWidth = parseFloat(svg.getAttributeNS(null, 'width'))
let svgHeight = parseFloat(svg.getAttributeNS(null, 'height'))
// set new width and height based on the scale
svg.setAttributeNS(null, 'width', svgWidth * scale)
svg.setAttributeNS(null, 'height', svgHeight * scale)
svg.setAttributeNS(null, 'viewBox', '0 0 ' + svgWidth + ' ' + svgHeight)
}
getSvgString() {
return new Promise((resolve) => {
const w = this.w
const width = w.config.chart.toolbar.export.width
let scale =
w.config.chart.toolbar.export.scale || width / w.globals.svgWidth
if (!scale) {
scale = 1 // if no scale is specified, don't scale...
}
let svgString = this.w.globals.dom.Paper.svg()
// clone the svg node so it remains intact in the UI
const svgNode = this.w.globals.dom.Paper.node.cloneNode(true)
// in case the scale is different than 1, the svg needs to be rescaled
if (scale !== 1) {
// scale the image
this.scaleSvgNode(svgNode, scale)
}
// Convert image URLs to base64
this.convertImagesToBase64(svgNode).then(() => {
svgString = new XMLSerializer().serializeToString(svgNode)
resolve(svgString.replace(/ /g, ' '))
})
})
}
convertImagesToBase64(svgNode) {
const images = svgNode.getElementsByTagName('image')
const promises = Array.from(images).map((img) => {
const href = img.getAttributeNS('http://www.w3.org/1999/xlink', 'href')
if (href && !href.startsWith('data:')) {
return this.getBase64FromUrl(href)
.then((base64) => {
img.setAttributeNS('http://www.w3.org/1999/xlink', 'href', base64)
})
.catch((error) => {
console.error('Error converting image to base64:', error)
})
}
return Promise.resolve()
})
return Promise.all(promises)
}
getBase64FromUrl(url) {
return new Promise((resolve, reject) => {
const img = new Image()
img.crossOrigin = 'Anonymous'
img.onload = () => {
const canvas = document.createElement('canvas')
canvas.width = img.width
canvas.height = img.height
const ctx = canvas.getContext('2d')
ctx.drawImage(img, 0, 0)
resolve(canvas.toDataURL())
}
img.onerror = reject
img.src = url
})
}
cleanup() {
const w = this.w
// hide some elements to avoid printing them on exported svg
const xcrosshairs = w.globals.dom.baseEl.getElementsByClassName(
'apexcharts-xcrosshairs'
)
const ycrosshairs = w.globals.dom.baseEl.getElementsByClassName(
'apexcharts-ycrosshairs'
)
const zoomSelectionRects = w.globals.dom.baseEl.querySelectorAll(
'.apexcharts-zoom-rect, .apexcharts-selection-rect'
)
Array.prototype.forEach.call(zoomSelectionRects, (z) => {
z.setAttribute('width', 0)
})
if (xcrosshairs && xcrosshairs[0]) {
xcrosshairs[0].setAttribute('x', -500)
xcrosshairs[0].setAttribute('x1', -500)
xcrosshairs[0].setAttribute('x2', -500)
}
if (ycrosshairs && ycrosshairs[0]) {
ycrosshairs[0].setAttribute('y', -100)
ycrosshairs[0].setAttribute('y1', -100)
ycrosshairs[0].setAttribute('y2', -100)
}
}
svgUrl() {
return new Promise((resolve) => {
this.cleanup()
this.getSvgString().then((svgData) => {
const svgBlob = new Blob([svgData], {
type: 'image/svg+xml;charset=utf-8',
})
resolve(URL.createObjectURL(svgBlob))
})
})
}
dataURI(options) {
return new Promise((resolve) => {
const w = this.w
const scale = options
? options.scale || options.width / w.globals.svgWidth
: 1
this.cleanup()
const canvas = document.createElement('canvas')
canvas.width = w.globals.svgWidth * scale
canvas.height = parseInt(w.globals.dom.elWrap.style.height, 10) * scale // because of resizeNonAxisCharts
const canvasBg =
w.config.chart.background === 'transparent' ||
!w.config.chart.background
? '#fff'
: w.config.chart.background
let ctx = canvas.getContext('2d')
ctx.fillStyle = canvasBg
ctx.fillRect(0, 0, canvas.width * scale, canvas.height * scale)
this.getSvgString().then((svgData) => {
const svgUrl = 'data:image/svg+xml,' + encodeURIComponent(svgData)
let img = new Image()
img.crossOrigin = 'anonymous'
img.onload = () => {
ctx.drawImage(img, 0, 0)
if (canvas.msToBlob) {
// Microsoft Edge can't navigate to data urls, so we return the blob instead
let blob = canvas.msToBlob()
resolve({ blob })
} else {
let imgURI = canvas.toDataURL('image/png')
resolve({ imgURI })
}
}
img.src = svgUrl
})
})
}
exportToSVG() {
this.svgUrl().then((url) => {
this.triggerDownload(
url,
this.w.config.chart.toolbar.export.svg.filename,
'.svg'
)
})
}
exportToPng() {
const scale = this.w.config.chart.toolbar.export.scale
const width = this.w.config.chart.toolbar.export.width
const option = scale
? { scale: scale }
: width
? { width: width }
: undefined
this.dataURI(option).then(({ imgURI, blob }) => {
if (blob) {
navigator.msSaveOrOpenBlob(blob, this.w.globals.chartID + '.png')
} else {
this.triggerDownload(
imgURI,
this.w.config.chart.toolbar.export.png.filename,
'.png'
)
}
})
}
exportToCSV({
series,
fileName,
columnDelimiter = ',',
lineDelimiter = '\n',
}) {
const w = this.w
if (!series) series = w.config.series
let columns = []
let rows = []
let result = ''
let universalBOM = '\uFEFF'
let gSeries = w.globals.series.map((s, i) => {
return w.globals.collapsedSeriesIndices.indexOf(i) === -1 ? s : []
})
const getFormattedCategory = (cat) => {
if (
typeof w.config.chart.toolbar.export.csv.categoryFormatter ===
'function'
) {
return w.config.chart.toolbar.export.csv.categoryFormatter(cat)
}
if (w.config.xaxis.type === 'datetime' && String(cat).length >= 10) {
return new Date(cat).toDateString()
}
return Utils.isNumber(cat) ? cat : cat.split(columnDelimiter).join('')
}
const getFormattedValue = (value) => {
return typeof w.config.chart.toolbar.export.csv.valueFormatter ===
'function'
? w.config.chart.toolbar.export.csv.valueFormatter(value)
: value
}
const seriesMaxDataLength = Math.max(
...series.map((s) => {
return s.data ? s.data.length : 0
})
)
const dataFormat = new Data(this.ctx)
const axesUtils = new AxesUtils(this.ctx)
const getCat = (i) => {
let cat = ''
// pie / donut/ radial
if (!w.globals.axisCharts) {
cat = w.config.labels[i]
} else {
// xy charts
// non datetime
if (
w.config.xaxis.type === 'category' ||
w.config.xaxis.convertedCatToNumeric
) {
if (w.globals.isBarHorizontal) {
let lbFormatter = w.globals.yLabelFormatters[0]
let sr = new Series(this.ctx)
let activeSeries = sr.getActiveConfigSeriesIndex()
cat = lbFormatter(w.globals.labels[i], {
seriesIndex: activeSeries,
dataPointIndex: i,
w,
})
} else {
cat = axesUtils.getLabel(
w.globals.labels,
w.globals.timescaleLabels,
0,
i
).text
}
}
// datetime, but labels specified in categories or labels
if (w.config.xaxis.type === 'datetime') {
if (w.config.xaxis.categories.length) {
cat = w.config.xaxis.categories[i]
} else if (w.config.labels.length) {
cat = w.config.labels[i]
}
}
}
// let the caller know the current category is null. this can happen for example
// when dealing with line charts having inconsistent time series data
if (cat === null) return 'nullvalue'
if (Array.isArray(cat)) {
cat = cat.join(' ')
}
return Utils.isNumber(cat) ? cat : cat.split(columnDelimiter).join('')
}
// Fix https://github.com/apexcharts/apexcharts.js/issues/3365
const getEmptyDataForCsvColumn = () => {
return [...Array(seriesMaxDataLength)].map(() => '')
}
const handleAxisRowsColumns = (s, sI) => {
if (columns.length && sI === 0) {
// It's the first series. Go ahead and create the first row with header information.
rows.push(columns.join(columnDelimiter))
}
if (s.data) {
// Use the data we have, or generate a properly sized empty array with empty data if some data is missing.
s.data = (s.data.length && s.data) || getEmptyDataForCsvColumn()
for (let i = 0; i < s.data.length; i++) {
// Reset the columns array so that we can start building columns for this row.
columns = []
let cat = getCat(i)
// current category is null, let's move on to the next one
if (cat === 'nullvalue') continue
if (!cat) {
if (dataFormat.isFormatXY()) {
cat = series[sI].data[i].x
} else if (dataFormat.isFormat2DArray()) {
cat = series[sI].data[i] ? series[sI].data[i][0] : ''
}
}
if (sI === 0) {
// It's the first series. Also handle the category.
columns.push(getFormattedCategory(cat))
for (let ci = 0; ci < w.globals.series.length; ci++) {
const value = dataFormat.isFormatXY()
? series[ci].data[i]?.y
: gSeries[ci][i]
columns.push(getFormattedValue(value))
}
}
if (
w.config.chart.type === 'candlestick' ||
(s.type && s.type === 'candlestick')
) {
columns.pop()
columns.push(w.globals.seriesCandleO[sI][i])
columns.push(w.globals.seriesCandleH[sI][i])
columns.push(w.globals.seriesCandleL[sI][i])
columns.push(w.globals.seriesCandleC[sI][i])
}
if (
w.config.chart.type === 'boxPlot' ||
(s.type && s.type === 'boxPlot')
) {
columns.pop()
columns.push(w.globals.seriesCandleO[sI][i])
columns.push(w.globals.seriesCandleH[sI][i])
columns.push(w.globals.seriesCandleM[sI][i])
columns.push(w.globals.seriesCandleL[sI][i])
columns.push(w.globals.seriesCandleC[sI][i])
}
if (w.config.chart.type === 'rangeBar') {
columns.pop()
columns.push(w.globals.seriesRangeStart[sI][i])
columns.push(w.globals.seriesRangeEnd[sI][i])
}
if (columns.length) {
rows.push(columns.join(columnDelimiter))
}
}
}
}
const handleUnequalXValues = () => {
const categories = new Set()
const data = {}
series.forEach((s, sI) => {
s?.data.forEach((dataItem) => {
let cat, value
if (dataFormat.isFormatXY()) {
cat = dataItem.x
value = dataItem.y
} else if (dataFormat.isFormat2DArray()) {
cat = dataItem[0]
value = dataItem[1]
} else {
return
}
if (!data[cat]) {
data[cat] = Array(series.length).fill('')
}
data[cat][sI] = getFormattedValue(value)
categories.add(cat)
})
})
if (columns.length) {
rows.push(columns.join(columnDelimiter))
}
Array.from(categories)
.sort()
.forEach((cat) => {
rows.push([
getFormattedCategory(cat),
data[cat].join(columnDelimiter),
])
})
}
columns.push(w.config.chart.toolbar.export.csv.headerCategory)
if (w.config.chart.type === 'boxPlot') {
columns.push('minimum')
columns.push('q1')
columns.push('median')
columns.push('q3')
columns.push('maximum')
} else if (w.config.chart.type === 'candlestick') {
columns.push('open')
columns.push('high')
columns.push('low')
columns.push('close')
} else if (w.config.chart.type === 'rangeBar') {
columns.push('minimum')
columns.push('maximum')
} else {
series.map((s, sI) => {
const sname = (s.name ? s.name : `series-${sI}`) + ''
if (w.globals.axisCharts) {
columns.push(
sname.split(columnDelimiter).join('')
? sname.split(columnDelimiter).join('')
: `series-${sI}`
)
}
})
}
if (!w.globals.axisCharts) {
columns.push(w.config.chart.toolbar.export.csv.headerValue)
rows.push(columns.join(columnDelimiter))
}
if (
!w.globals.allSeriesHasEqualX &&
w.globals.axisCharts &&
!w.config.xaxis.categories.length &&
!w.config.labels.length
) {
handleUnequalXValues()
} else {
series.map((s, sI) => {
if (w.globals.axisCharts) {
handleAxisRowsColumns(s, sI)
} else {
columns = []
columns.push(getFormattedCategory(w.globals.labels[sI]))
columns.push(getFormattedValue(gSeries[sI]))
rows.push(columns.join(columnDelimiter))
}
})
}
result += rows.join(lineDelimiter)
this.triggerDownload(
'data:text/csv; charset=utf-8,' +
encodeURIComponent(universalBOM + result),
fileName ? fileName : w.config.chart.toolbar.export.csv.filename,
'.csv'
)
}
triggerDownload(href, filename, ext) {
const downloadLink = document.createElement('a')
downloadLink.href = href
downloadLink.download = (filename ? filename : this.w.globals.chartID) + ext
document.body.appendChild(downloadLink)
downloadLink.click()
document.body.removeChild(downloadLink)
}
}
export default Exports
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