Supercharge SvelteKit Apps with Spreadsheets
SvelteKit is a framework for generating static sites. It leverages modern technologies including ViteJS and SvelteJS1
SheetJS is a JavaScript library for reading and writing data from spreadsheets.
This demo uses SvelteKit and SheetJS to pull data from a spreadsheet and display the content in an HTML table. We'll explore how to use a plugin to pull raw data from files and how to organize page scripts to process the files at compile time.
The "Complete Example" section includes a complete website powered by an XLSX spreadsheet.
This demo focuses on server-side processing with SvelteKit and Svelte.
The Svelte demo covers general client-side usage.
The following diagram depicts the workbook waltz:
This demo was tested in the following environments:
SvelteJS | Kit | Date |
---|---|---|
4.2.17 | 2.5.10 | 2024-06-03 |
5.0.0-next.149 | 2.5.10 | 2024-06-03 |
Integration
+page.server.js
scripts can be pre-rendered by exporting prerender
from the
script. If the SheetJS operations are performed in the server script, only the
results will be added to the generated pages!
For static site generation, @sveltejs/adapter-static
must be used.
Loader
SvelteKit projects use ViteJS under the hood. They expose the vite.config.js
script. The "Base64 Loader" from the ViteJS demo2 can pull data from files
into Base64 strings for processing in +page.server.js
scripts.
The ViteJS demo used the query ?b64
to identify files. To play nice with
SvelteKit, this demo matches the file extensions directly.
The loader should be added to vite.config.js
. The code is nearly identical to
the "Base64 Loader" ViteJS example.
import { sveltekit } from '@sveltejs/kit/vite';
import { defineConfig } from 'vite';
import { readFileSync } from 'fs';
export default defineConfig({
assetsInclude: ['**/*.numbers', '**/*.xlsx'],
plugins: [sveltekit(), {
name: "sheet-base64",
transform(code, id) {
if(!id.match(/\.(numbers|xlsx)$/)) return;
var data = readFileSync(id, "base64");
return `export default '${data}'`;
}
}]
});
Types
For VSCodium integration, types can be specified in src/app.d.ts
.
The example data loader returns Base64 strings. Declarations should be added for each file extension supported in the loader:
declare global {
declare module '*.numbers' { const data: string; export default data; }
declare module '*.xlsx' { const data: string; export default data; }
}
Data Processing
For static sites, SheetJS operations should be run in +page.server.js
3. The
script must include export const prerender = true
4.
Assuming pres.xlsx
is stored in the data
directory from the project root,
the relative import
import b64 from "../../data/pres.xlsx"
will return a Base64 string which can be parsed in the script. The workbook object can be post-processed using utility functions.
The following example uses the SheetJS read
method5 to parse spreadsheet
files and the sheet_to_json
method6 to generate arrays of row objects for
each worksheet. The data presented to the page will be an object whose keys are
worksheet names:
import b64 from "../../data/pres.xlsx";
import { read, utils } from "xlsx";
export const prerender = true;
/** @type {import('./$types').PageServerLoad} */
export async function load({ params }) {
const wb = read(b64);
/** @type {[string, any[]][]} */
const data = wb.SheetNames.map(n => [n, utils.sheet_to_json(wb.Sheets[n])]);
return Object.fromEntries(data);
}
Data Rendering
The shape of the data is determined by the loader. The example loader returns an object whose keys are worksheet names and whose values are arrays of objects.
Using standard Svelte patterns, HTML tables can be generated from the data:
<script>
/** @type {import('./$types').PageData} */
export let data;
/* `pres` will be the data from Sheet1 */
/** @type {Array<{Name: string, Index: number}>}*/
export let pres = data["Sheet1"];
</script>
<h1>Presidents</h1>
<table><thead><tr><th>Name</th><th>Index</th></tr></thead><tbody>
{#each pres as p}<tr>
<td>{p.Name}</td>
<td>{p.Index}</td>
</tr>{/each}
</tbody></table>
When built using npm run build
, SvelteKit will perform the conversion and emit
a simple HTML table without any reference to the existing spreadsheet file!
Complete Example
When this demo was last tested, SvelteKit required NodeJS major version 20.
Initial Setup
- Create a new site:
npm create svelte@latest sheetjs-svelte
When prompted:
Which Svelte app template?
selectSkeleton Project
Add type checking with TypeScript?
selectYes, using JavaScript with JSDoc
Select additional options
press Enter (do not select options)
To test the Svelte 5 beta, select Try the Svelte 5 preview (unstable!)
- Enter the project folder and install dependencies:
cd sheetjs-svelte
npm i
- Fetch the example file
pres.xlsx
and move to adata
subdirectory in the root of the project:
mkdir -p data
curl -Lo data/pres.xlsx https://docs.sheetjs.com/pres.xlsx
- Install the SheetJS library:
npm i --save https://cdn.sheetjs.com/xlsx-0.20.3/xlsx-0.20.3.tgz
- Replace the contents of
vite.config.js
with the following codeblock:
import { sveltekit } from '@sveltejs/kit/vite';
import { defineConfig } from 'vite';
import { readFileSync } from 'fs';
export default defineConfig({
assetsInclude: ['**/*.numbers', '**/*.xlsx'],
plugins: [sveltekit(), {
name: "sheet-base64",
transform(code, id) {
if(!id.match(/\.(numbers|xlsx)$/)) return;
var data = readFileSync(id, "base64");
return `export default '${data}'`;
}
}]
});
- Append the following lines to
src/app.d.ts
:
declare global {
declare module '*.numbers' { const data: string; export default data; }
declare module '*.xlsx' { const data: string; export default data; }
}
- Replace the contents of
src/routes/+page.server.js
with the following code. Create the file if it does not exist.
import b64 from "../../data/pres.xlsx";
import { read, utils } from "xlsx";
export const prerender = true;
/** @type {import('./$types').PageServerLoad} */
export async function load({ params }) {
const wb = read(b64);
/** @type {[string, any[]][]} */
const data = wb.SheetNames.map(n => [n, utils.sheet_to_json(wb.Sheets[n])]);
return Object.fromEntries(data);
}
- Replace the contents of
src/routes/+page.svelte
with the following code. Create the file if it does not exist.
<script>
/** @type {import('./$types').PageData} */
export let data;
/* `pres` will be the data from Sheet1 */
/** @type {Array<{Name: string, Index: number}>}*/
export let pres = data["Sheet1"];
</script>
<h1>Presidents</h1>
<table><thead><tr><th>Name</th><th>Index</th></tr></thead><tbody>
{#each pres as p}<tr>
<td>{p.Name}</td>
<td>{p.Index}</td>
</tr>{/each}
</tbody></table>
Live Reload
-
Open
data/pres.xlsx
in a spreadsheet editor like Apple Numbers or Excel. -
Start the development server:
npm run dev
Open the displayed URL (typically http://localhost:5173
) in a web browser and
observe that the data from the spreadsheet is displayed in the page.
- In the spreadsheet, set cell A7 to
SheetJS Dev
and cell B7 to47
. Save the file. After saving, the browser should automatically refresh with new data.
Static Site
- Stop the development server and install the static adapter:
npm i --save @sveltejs/adapter-static
- Edit
svelte.config.js
to use the new adapter.
The config should currently use adapter-auto
:
import adapter from '@sveltejs/adapter-auto';
Replace the module name with @sveltejs/adapter-static
:
import adapter from '@sveltejs/adapter-static';
- Build the static site:
npm run build
- Start a local web server that will host the production build:
npx -y http-server build
- Open a web browser and access the displayed URL (
http://localhost:8080
). View the page source and confirm that the raw HTML table includes the data.
Searching for Bill Clinton
should reveal the following row:
<tr><td>Bill Clinton</td><td>42</td></tr>
Footnotes
-
See "SvelteKit vs Svelte" in the SvelteKit documentation. ↩
-
See "Universal vs server" in the SvelteKit documentation. ↩
-
See "prerender" in the SvelteKit documentation. ↩