Node Backend Demo
Product Catalog API
A product-style Fastify API demo showing filtering, pagination, inventory mutation, and request-driven UI behavior against a Node.js backend.
View developer notes ↓Resource
/api/products
Filters
Category · Brand · Condition
Writes
Create · Inventory Patch
Query Controls
Filter and fetch products
Category
Condition
Brand
Products
0 total
No products found.
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Developer Notes
Product Search API Demo
This page demonstrates a backend-driven product search system designed to highlight API query design, filtering strategies, fuzzy matching, and pagination mechanics. The UI acts as a thin client that constructs query parameters and delegates most data logic to the backend service.
Architecture
- React + TypeScript frontend responsible for query construction and UI state management.
- Node.js API service handles filtering, sorting, pagination, and fuzzy matching logic.
- Stateless request model where all query state is encoded in URL query parameters.
- The UI re-fetches data whenever query parameters change, allowing the backend to remain the source of truth.
Core Functionality
- Search products by name, brand, or category.
- Dynamic filtering using category, brand, and condition selectors.
- Sorting by multiple attributes (name, price, rating, inventory).
- Ascending or descending ordering.
- Server-side pagination with configurable page size.
- Search suggestions generated from known product terms.
Algorithms
- Fuzzy search implemented using the Levenshtein distance algorithm.
- This allows approximate matching when user input contains typos or partial strings.
- Example: searching for
fendrstill matchesFender. - Candidate results are scored by edit distance and filtered using a similarity threshold.
Areas for Improvement
- Filter metadata is currently generated from the current page results. A production system would return filter dimensions from the backend.
- Search ranking could incorporate weighted scoring across multiple fields.
- Fuzzy matching could be optimized using a precomputed index or trigram-based search.
- Query caching could reduce redundant API calls when navigating between pages.
System Design Notes
- Query parameters represent the full state of the request, enabling shareable URLs.
- The frontend uses memoized query parameter construction to avoid unnecessary renders.
- Pagination metadata returned from the API controls navigation state in the UI.