Backend: - Created REST API endpoint /api/v1/search/ - Added SearchResultSerializer and SearchResponseSerializer - Implemented search_api_view with model formatters (employee, department, post, request, chat, message, event) - Registered search endpoint in api/v1/urls.py - Added permission check for requests (HR can see all, users only their own) Frontend: - Added SearchResponse, SearchResult, SearchModelType types - Added apiClient.search() method in lib/api.ts - Completely rewrote search/page.tsx: * Single API call instead of 6 parallel requests * Cleaner UI with icons for each result type * Real-time search with loading states * Meta information display (email, phone, status, etc.) * Better performance and UX Benefits: - Frontend: 220 lines → 178 lines (19% reduction) - 1 API request instead of 6 (83% less network calls) - Server-side full-text search via watson (better relevance) - Unified search results with metadata Testing: - API endpoint verified at /api/v1/search/?q=test - Returns JSON with query, results, counts, total - Requires authentication (IsAuthenticated decorator)
This is a Next.js project bootstrapped with create-next-app.
Getting Started
First, run the development server:
npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev
Open http://localhost:3000 with your browser to see the result.
You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.
This project uses next/font to automatically optimize and load Geist, a new font family for Vercel.
Learn More
To learn more about Next.js, take a look at the following resources:
- Next.js Documentation - learn about Next.js features and API.
- Learn Next.js - an interactive Next.js tutorial.
You can check out the Next.js GitHub repository - your feedback and contributions are welcome!
Deploy on Vercel
The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.
Check out our Next.js deployment documentation for more details.