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This pull request introduces several improvements and refactors across the codebase and documentation. The most notable changes include a major rewrite and reorganization of the README.md for clarity and onboarding, the addition of a Makefile for streamlined local development, and backend API improvements for better data validation and maintainability.

Documentation and Developer Experience Improvements:

  • Major rewrite and restructuring of README.md:

    • Clearer overview, feature list, and technology stack sections.
    • Improved quick start guides for both Docker and local development.
    • Enhanced visual presentation and simplified navigation.
    • Added acknowledgements and citation for Docling, plus a star history section. [1] [2] [3]
  • Added a new Makefile to simplify running both backend and frontend development servers concurrently, streamlining the local development workflow.

Backend API and Code Quality Enhancements:

  • Improved candidate profile API endpoints:

    • Explicitly validates and serializes nested fields (social_links, work_experiences, etc.) in the get_my_profile response for better schema compliance and frontend compatibility.
    • Ensures the updated profile is returned using the correct request context after updates. [1] [2]
  • General API code cleanup:

    • Removed redundant comments and imports in backend/app/api/__init__.py and backend/app/api/auth.py for better readability.
    • Minor refactoring to streamline dependency injection and user service usage. [1] [2] [3] [4] [5]

These changes collectively improve the project's documentation, developer onboarding, API reliability, and code maintainability.

- Create job_service_utils.py with reusable get_latest_jobs() function
- Simplify /search endpoint:
  * Make query parameter optional (defaults to empty string)
  * Perform semantic search when query provided
  * Fallback to latest jobs if no query or no results
  * Support pagination across all 200 results
- Simplify /recommendations endpoint:
  * Use skill-based vector search for personalized results
  * Fallback to latest jobs if no skills or no results
  * Consistent pagination logic
- Refactor map_job_to_response() for better readability:
  * Extract helper functions for location building and list extraction
  * Reduce code from 109 to 65 lines (40% reduction)
  * Maintain all existing functionality
- Update vector_job_service.py:
  * Improve _construct_job_text() to use job description fields
  * Include title, role overview, skills, nice-to-have, and benefits
  * Better semantic search relevance

Breaking Changes:
- VISIBLE_STATUSES changed from ['active', 'expired'] to ['active']
- Removed /admin/reindex endpoint (moved to separate cleanup)
Fix ImportError preventing server startup:
- Change imports in candidate.py and resume.py
- Import directly from app.schemas.shared instead of app.schemas
- Breaks circular dependency: __init__.py → candidate.py → __init__.py

Before:
  app/schemas/__init__.py imports from app/schemas/candidate.py
  app/schemas/candidate.py imports from app/schemas (circular!)

After:
  app/schemas/__init__.py imports from app/schemas/candidate.py
  app/schemas/candidate.py imports from app/schemas.shared (no cycle)

Fixes: ImportError: cannot import name 'CertificationBase' from partially
initialized module 'app.schemas'
- Add explicit exports in __init__.py for better IDE support
- Remove docstring in favor of explicit imports
- Update application.py and shared.py formatting
- Makes schema imports more discoverable and type-safe
- Remove default values from Settings in config.py (require explicit env vars)
- Rename QDRANT_COLLECTION_JOBS to QDRANT_COLLECTION_NAME for consistency
- Clean up __init__.py exports
- Improves configuration clarity and type safety
- Remove unused imports across API routes and services
- Clean up interview scheduling agent nodes
- Remove unused admin endpoint from API router
- Update import paths to use app.models directly
- General code formatting improvements

No functional changes, purely cleanup.
- Remove unused imports from agent model __init__ files
- Simplify module structure
- No functional changes
…umn grid layouts

Redesigned both candidate and recruiter job pages to share the same design system featuring enhanced modal overlays with improved spacing (900px width), refined typography with proper letter-spacing, and consistent 4-column responsive grids. Implemented comprehensive UI/UX improvements including colored badge systems, vertical accent bars, optimized info grids with proper text handling, and recruiter-specific stats display while maintaining all role-specific functionality.
- Refactor design system with modern, vibrant color palette throughout
- Implement consistent visual hierarchy with improved gradients and shadows
- Polish all UI components with better spacing, transitions, and animations
- Enhance dashboard with more engaging layouts and visual elements
- Add dummy data for recent activity logs to demonstrate functionality
- Improve component responsiveness across all screen sizes
- Unify component styling for cohesive look and feel
- Optimize loading states and skeleton components
- Fix ESLint warnings and errors across frontend codebase
- Remove unused imports and variables for cleaner code
- Standardize code formatting with consistent patterns
- Enhance job cards, modals, and forms with better visual feedback
- Improve authentication flow UI with polished components
- Refine recruiter and candidate dashboards for better UX

This commit significantly improves the overall visual appeal and user
experience of the application while maintaining code quality standards.
Updated README to enhance structure and clarity, including new sections for overview, features, and tech stack.
@devrahulbanjara devrahulbanjara merged commit c02ceba into dev Jan 3, 2026
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