34 - Search Bar with Filtering and Suggestions
Description
Develop a React component for searching, filtering, and displaying data, with dynamic suggestions.
Allows users to enter search terms.
Provides real-time search suggestions based on entered text.
Filters displayed data based on the search term and additional filters (optional).
Displays relevant suggestions and filtered results clearly.
Algorithm
Component Structure:
Define a functional component named
SearchBar
.Accept props for:
data
: Array of data items.filterOptions
: Object defining available filters (optional).onSelectSuggestion
: Function to handle suggestion selection.onFilterChange
: Function to handle filter changes (optional).
Maintain internal state for:
searchTerm
: Entered search text.suggestedItems
: Array of suggested data items.filteredItems
: Array of filtered data items (optional).selectedFilter
: Currently selected filter value (optional).
Search and Suggestions:
Use a
useEffect
hook to update suggestions based onsearchTerm
changes.Filter the data based on the search term and filter selection (if applicable).
Limit the number of displayed suggestions for performance.
Filter Handling (optional):
Render filter options and handle user selections.
Update the selected filter state (
selectedFilter
) and re-filter the data accordingly.
Rendering:
Render the search input field with suggestions dropdown (conditionally).
Display the filtered data items below the search bar.
Style the search bar, suggestions, and filter options for desired UI.
Code
Explanation
State Management:
searchTerm
,suggestedItems
,filteredItems
, andselectedFilter
(optional) are used to track search progress and data.Search and Suggestions:
useEffect
updates suggestions based onsearchTerm
changes and filters data accordingly.Filter Handling (optional): Filter options and selection logic are included if
filterOptions
prop exists.Rendering: Search bar, suggestions dropdown, and filtered results are rendered based on search and filter selections.
Additional Notes
This is a basic example and can be customized further, like adding pagination for large datasets, styling options, and more complex filtering logic.
Consider performance optimization techniques like debouncing search input and lazy loading results.
Last updated