giladfuchs/next-ecommerce

AI Summary: Implement dynamic product variant options in an existing e-commerce platform. This involves adding functionality to the admin panel to define variant groups and options with individual pricing, updating the frontend to display and select variants, adjusting the cart and order systems to handle variant selections and pricing, and ensuring data consistency across the application.

AI Summary: This task requires adding a 'tags' field to the Product model in a Next.js/Express e-commerce platform. This involves updating the backend database schema, modifying the admin dashboard to allow tag input and editing (likely using MUI Autocomplete), and integrating the tags into the product page's metadata for SEO purposes. Optionally, the tags could also be visually displayed on the product page.

AI Summary: Create a script to restore a PostgreSQL database from a zip backup. The script should unzip the backup, restore database data from `db_data.json`, and upload images from the backup's `images` folder to blob storage, updating image URLs in the database accordingly. The script should handle the specific folder structure created by the existing backup script.

AI Summary: Implement a product comment system, including frontend components for displaying and submitting comments, and backend API endpoints for managing comments (creation, retrieval, and optional moderation). The frontend will integrate with the existing product page, and the backend will use TypeORM and PostgreSQL for data persistence.

AI Summary: Integrate the `next-intl` library into the Next.js e-commerce application to enable server-side rendering (SSR) for translations. This involves adding the necessary `next-intl` configuration, updating components like `product-buttons.tsx` to use `<FormattedMessage />` for translated text, and creating or adapting translation JSON files. The goal is to provide translated text for phrases such as "Add to Cart" that are rendered on the server.