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November 9, 2023 13:09
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Generate PDF with ChartJS and PDFKit
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const fs = require('fs') | |
const tmp = require("tmp"); | |
const PDFDocument = require('pdfkit'); | |
const MemoryStream = require('memorystream'); | |
const { ChartJSNodeCanvas } = require('chartjs-node-canvas'); | |
export async function generatePDFWithCharts() { | |
// Sample chart with ChartJS | |
const chartJSNodeCanvas = new ChartJSNodeCanvas({ type: 'png', width: 800, height: 600 }); | |
const configuration = { | |
type: 'bar', | |
data: { | |
labels: ['Q1', 'Q2', 'Q3', 'Q4'], | |
datasets: [{ | |
label: 'Users', | |
data: [50, 60, 70, 180] | |
}] | |
} | |
}; | |
// Generate chart image | |
const imageBuffer = await chartJSNodeCanvas.renderToBuffer(configuration); | |
// Write the chart image to the system because the PDF needs a path | |
const tempImg = tmp.fileSync({ postfix: ".png" }); | |
fs.writeFileSync(tempImg.name, imageBuffer); | |
// Prepare the PDF | |
const doc = new PDFDocument; | |
doc.fontSize(25).text('Here is some vector foo...', 100, 80); | |
// Use the image we just wrote to the system | |
doc.image(tempImg.name, 0, 15, {width: 300}) | |
.text('Proportional to width', 0, 0); | |
// Create a stream to hold the PDF in memory | |
const memStream = new MemoryStream(null, { | |
readable : false | |
}); | |
doc.pipe(memStream); | |
// Write the PDF stream buffer to the file system | |
doc.on('end', function () { | |
const pdfBuffer = Buffer.concat(memStream.queue) | |
// From here you'll be able to read the file and handle it as you wish | |
const tempPDF = tmp.fileSync({ postfix: ".pdf" }); | |
fs.writeFileSync(tempPDF.name, pdfBuffer); | |
console.log({ tempPDF }) | |
}) | |
doc.end(); | |
} |
@Ahmadre yeah you're right. This script works on NodeJS. I made it for a backend solution. Do you need something to work in the frontend? what is your use case?
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This is not working out of the box and required native packages to be installed on the environment os.