↓Skip to main content
Resources for the Modern Web Resources for the Modern Web
  1. All Posts/

sample-pie-shop

eCommerce JavaScript

Online store PWA sample


This sample demonstrates best practices for e-commerce websites.
It also demonstrates some useful features enabled by new technologies and APIs
on the web.

Development

Create a fork of the original project
GoogleChromeLabs/sample-pie-shop
and clone to your development environment.

Install dependencies

Change to the top level project directory run the following:

cd sample-pie-shop
npm ci

Note: This will install the dependencies as per the package-lock.json
whereas npm install will update them. If you need to update the dependencies,
submit the updated package-lock.json as a new PR.

Run the development server

The project uses Firebase Cloud
Firestore for product data. You
will need to create a project and download the JSON configuration for the Admin
SDK. You can do this in the Firebase
console
using the Generate new private key button. Save this to
src/data/firebase-admin-key.json.
The start:dev target will build the site and serve it locally while watching
for any changes. Once the script completes the initial build, the site should be
available at localhost:3000.

npm run start:dev

Note: You can override the default location for the config file by specifying
a path in the FB_KEYS environment variable.

FB_KEYS=/path/to/alternative-key.json npm run start:dev

Check
package.json
for the other build targets.

Import data to the database

Sample data for products, product categories and homepage content is stored as
JSON in the /src/data directory.
You can import (upload) this data to your remote Firestore database by running
the following Node scripts from the
/tools
directory:

cd tools
node --experimental-modules import_home.mjs
node --experimental-modules import_products.mjs

This project uses ECMAScript Modules, which currently require the --experimental-modules flag.
Check your version of Node using node -v and update to the LTS or Current version if necessary. The import code above has been tested in versions 10.15.3 and 11.14.0.

Create a search index from your own data

This demo uses the Algolia search engine. This is free for open source projects with up to 100k records and 200k operations monthly.
The search functionality provided by this sample will work as-is for the product data in /src/data/products.json. In other words, if you’re happy to use the sample product data as it is, you don’t need to do anything!
However, if you want to use different product data, you will need to create your own Algolia application, then build a search index from your data. The index.js application in the /tools/algolia directory enables you to create an Algolia search index from a Firebase data source. It can also be used to monitor updates to your data, and update the Algolia search index in response.
Follow these steps to build a search index if you want to use your own data:

  1. Follow the Algolia tutorial to create a search application.
  2. Follow the tutorial instructions to create a .env configuration file in the /tools/algolia directory.
  3. Run node index.js in the same directory to get data from Firebase and create the index for the Algolia app.
  4. Update the APP_ID (Algolia app) and API_KEY (search key) values in /src/services/algolia.js.

Images

Images are served from
Cloudinary
and displayed responsively using the srcset and sizes attributes in
combination with
lazy-img
for lazy loading.

Deploying

See DEPLOY.md.



↑