Today’s Development Highlights: Search, Markets & Autocomplete
What developments have taken place today?
Today’s work focused on enhancing search functionality, improving market data management, and refining category display within product details. The core changes involve integrating Elasticsearch aggregation for rollup counts of categories, updating the database schema to accommodate market-specific information (market ID), and streamlining the process of displaying related categories in search results. Furthermore, a new controller has been introduced for handling autocomplete suggestions for products.
Here’s a breakdown of the key developments:
- Enhanced Search with Category Rollup Counts: The search handler now leverages Elasticsearch aggregations to retrieve category IDs and their counts (rollup counts), presenting product counts associated with each category in the search results. This provides users with a clearer overview of related categories and improves search relevance.
- Market Data Integration: A new
market_idcolumn has been added to both thecategoryanddatasourcetables, establishing links between categories and markets. TheMarketRepositoryhas also been updated to handle these new fields, enabling market-specific searches and data retrieval. This lays the groundwork for supporting multiple markets within the system. - Autocomplete Suggestions: A new
AutocompleteControllerhas been implemented to provide users with real-time suggestions for products as they type in the search bar. This enhances the user experience by anticipating user needs and streamlining the product discovery process. - Category Path Retrieval Improvements: The category path retrieval logic was refined, ensuring more accurate categorization based on Google Category IDs and incorporating error handling to prevent issues if files are missing.
- Template Updates: The
search_results.go.tmpltemplate has been updated to display the new category rollup counts effectively. The HTML template for displaying categories in a market dashboard was also updated to include pagination controls and dynamic rendering of category information.
In summary, these changes significantly improve search capabilities by providing more contextualized results, streamline market-specific data management, and enhance the user experience through autocomplete suggestions. They are important because they address key requirements for supporting multi-market functionality, improving search relevance, and providing a better overall product discovery experience.
search elasticsearch market data autocomplete category display