Sheets in FastifyJS
FastifyJS is a NodeJS web framework.
SheetJS is a JavaScript library for reading and writing data from spreadsheets.
This demo uses FastifyJS and SheetJS to read and write data. We'll explore how to parse uploaded files in a POST request handler and respond to GET requests with downloadable spreadsheets.
The "Complete Example" section includes a complete server.
This demo was verified on 2024 March 11 using fastify@4.26.2
Integration Details​
The SheetJS NodeJS module can be imported from scripts that use FastifyJS.
Exporting Data to Workbooks (GET)​
The SheetJS write
method1 with the option type: "buffer"
generates NodeJS
Buffer objects containing the raw file data.
FastifyJS can directly handle Buffer
data in Response#end
The exported filename can be specified using the Content-Disposition
header.
The following demo FastifyJS server will respond to GET requests to /download
with a XLSX spreadsheet. In this example, the SheetJS aoa_to_sheet
method2
generates a sheet object and the book_new
and book_append_sheet
helpers3
build the workbook object.
/* GET / returns a workbook */
fastify.get('/', (req, reply) => {
/* make a workbook */
var wb = XLSX.read("S,h,e,e,t,J,S\n5,4,3,3,7,9,5", {type: "binary"});
/* write to Buffer */
const buf = XLSX.write(wb, {type:"buffer", bookType: "xlsx"});
/* set Content-Disposition header and send data */
reply.header('Content-Disposition', 'attachment; filename="SheetJSFastify.xlsx"').send(buf);
});
Parsing Uploaded Files (POST)​
@fastify/multipart
, which uses busbuy
under the hood, must be registered:
/* load SheetJS Library */
const XLSX = require("xlsx");
/* load fastify and enable body parsing */
const fastify = require('fastify')({logger: true});
fastify.register(require('@fastify/multipart'), { attachFieldsToBody: true });
Once registered with the option attachFieldsToBody
, route handlers can use
req.body
directly.
Each file object in the body has a toBuffer
method that resolves to a Buffer
object. The SheetJS read
method4 can read the Buffer and generate a
workbook object5.
The following demo FastifyJS server will respond to POST requests to /upload
.
Assuming the upload
field of the form data is the file, the SheetJS read
method will parse the file. CSV rows are generated from the first worksheet
using the SheetJS sheet_to_csv
method6.
/* POST / reads submitted file and exports to requested format */
fastify.post('/', async(req, reply) => {
/* "file" is the name of the field in the HTML form*/
const file = req.body.upload;
/* toBuffer returns a promise that resolves to a Buffer */
const buf = await file.toBuffer();
/* `XLSX.read` can read the Buffer */
const wb = XLSX.read(buf);
/* reply with a CSV */
reply.send(XLSX.utils.sheet_to_csv(wb.Sheets[wb.SheetNames[0]]));
});
Out of the box, Fastify will return an error FST_ERR_CTP_BODY_TOO_LARGE
when
processing large spreadsheets (statusCode 413
). This is a Fastify issue.
The default body size limit (including all uploaded files and fields) is 1 MB.
It can be increased by setting the bodyLimit
option during server creation:
/* increase request body size limit to 5MB = 5 * 1024 * 1024 bytes */
const fastify = require('fastify')({bodyLimit: 5 * 1024 * 1024});
Complete Example​
- Save the following snippet to
SheetJSFastify.js
:
/* load SheetJS Library */
const XLSX = require("xlsx");
/* load fastify and enable body parsing */
const fastify = require('fastify')({logger: true});
fastify.register(require('@fastify/multipart'), { attachFieldsToBody: true });
/* GET / returns a workbook */
fastify.get('/', (req, reply) => {
/* make a workbook */
var wb = XLSX.read("S,h,e,e,t,J,S\n5,4,3,3,7,9,5", {type: "binary"});
/* write to Buffer */
const buf = XLSX.write(wb, {type:"buffer", bookType: "xlsx"});
/* set Content-Disposition header and send data */
reply.header('Content-Disposition', 'attachment; filename="SheetJSFastify.xlsx"').send(buf);
});
/* POST / reads submitted file and exports to requested format */
fastify.post('/', async(req, reply) => {
/* "file" is the name of the field in the HTML form*/
const file = req.body.upload;
/* toBuffer returns a promise that resolves to a Buffer */
const wb = XLSX.read(await file.toBuffer());
/* send back a CSV */
reply.send(XLSX.utils.sheet_to_csv(wb.Sheets[wb.SheetNames[0]]));
});
/* start */
fastify.listen({port: process.env.PORT || 3000}, (err, addr) => { if(err) throw err; });
- Install dependencies:
npm i --save https://cdn.sheetjs.com/xlsx-0.20.3/xlsx-0.20.3.tgz fastify@4.26.2 @fastify/multipart@8.1.0
- Start server
node SheetJSFastify.js
- Test POST requests using https://docs.sheetjs.com/pres.numbers . The commands should be run in a new terminal window:
curl -LO https://docs.sheetjs.com/pres.numbers
curl -X POST -F upload=@pres.numbers http://localhost:3000/
The response should show the data in CSV rows.
- Test GET requests by opening
http://localhost:3000/
in your browser.
It should prompt to download SheetJSFastify.xlsx
Footnotes​
-
See "Workbook Helpers" in "Utilities" for details on
book_new
andbook_append_sheet
. ↩ -
See "Workbook Object" ↩