Implement Comprehensive Product Search Endpoint with Advanced Filtering and Pagination

[HermanL0201]

Implement Comprehensive Product Search Endpoint with Advanced Filtering and Pagination

Description

Task

Create GET /api/products search endpoint

Acceptance Criteria

• Endpoint should support text search across product attributes
• Allow filtering by brand, category, and price range
• Implement pagination with configurable page size
• Return comprehensive search results with metadata
• Handle errors gracefully with appropriate status codes

Summary of Work

This pull request adds a robust and flexible product search endpoint that allows comprehensive product discovery with multiple filtering and pagination options.

Key Implementation Details

• Developed a flexible search endpoint in src/controllers/productController.ts
• Added support for multiple search and filter parameters:
  • Text search across name, description, brand, and category
  • Brand filtering
  • Category filtering
  • Price range filtering
• Implemented pagination with configurable page size
• Added text search indexing with weighted scoring
• Included comprehensive error handling
• Returns paginated results with metadata

Search Capabilities

• Full-text search across multiple product attributes
• Dynamic query building based on provided parameters
• Intelligent text search with relevance scoring
• Configurable page size and page number

Pagination Metadata

• products: Array of matching products
• currentPage: Current page number
• totalPages: Total number of pages
• totalProducts: Total number of matching products

Example Query Scenarios

• Search by product name: GET /api/products?search=lipstick
• Filter by brand: GET /api/products?brand=Sephora
• Price range: GET /api/products?minPrice=10&maxPrice=50
• Pagination: GET /api/products?page=2&limit=20

Performance Optimizations

• Uses MongoDB text indexing for efficient searching
• Implements lean queries for reduced memory overhead
• Limits and skips for efficient pagination

Future Improvements

• Add more advanced sorting options
• Implement caching for frequent searches
• Expand filter capabilities

Changes Made

• Created comprehensive product search endpoint in productController.ts
• Added text search indexing in Product model
• Implemented flexible query building with multiple filter options
• Added pagination support with configurable page size
• Implemented error handling for search operations

Tests

• Verify text search functionality across multiple fields
• Test brand and category filtering
• Validate price range filtering
• Check pagination metadata and results
• Ensure error handling for invalid inputs

Signatures

Staking Key

DZwmqbbKALnQYMhTLYdYeBBKVNptDMSAKQjaASJ9btgo: 7cBAyg2NLE2WGdmBTq8GSmwyGujuxi1cv1KRTXz3ugF6LqZvaQkGmneL5UyWqMPdgsipVsqSmx2UrSQgDYLfonPZLvi7PsqLGEq4KbASAcfw7z7TihPa3HyLAN2aUMksZ2cB3anoqLF3GPDhuoUmXP63HFGYfi7rZobVQnWVeveq133EpuyXqy6ckwyXanviQXs8K3tykpgpNpMVYkRhNcjfXrbAo1mcQx8AznaJqxtUVg8sgf8Mhb66U5KmKvUxjb64rwDZpnxuLQfNBqqXsS5hyZVgnMBtneokZzdLqomyPVrwdwqtGCMna1pmZ6g4PaiMCap7ckJdMAf8LsCyPUEjNUCNKSZWbt3pbd18kWzKZAeXJ4oErn78bBoE4jh2CyJNHqHcvGEABCbqrFVznaVEW7ziGa1XeMr

Public Key

4E3nQUGBiknkTFLJE6Htj3KKNnHzpxhNv2Jw5cvW4s7J: 3NkiqNoY8ZFNnPjpCmfYoL56ij4oJhd74x5QqRHbagaex5qYkqRVKbydFPSr4cneerU9s2yhc8N4xoFeH7kM8RqVw7H4AhN45Km9reuZKE3ejdG5CJGVW8L8fqEkwjYKPYXee2vn3x5k723XRnPwSwDKkAbYbTBz75Bo2E2vQwaKx5uETsZdXZWb977k5LLyyTvp7juq78QWLBvEo3ghAu3ykgieZkpyRrb182AaBk9kEKLNkMNJrkVsgYeLD6e78yj4rN1y2zYLS4ys11Fy6MB77bejBKnpwFunUVt3dP2DXSM1mb8M8XV5VF1W9bdGpeRaiyh6M4aqPsyA3K8BGK9kaqfAbe7fno4pKSn5frTAqqNSSCCKJ8ywdLoq9tx6odh6qYGwHzgL3Djv3aAMB5ECerBbBFdvFQMz