Blazor Dropdown Tree Example - UI Customization
This example demonstrates the DropDownTree component’s template and customization capabilities, highlighting icon and image support for enriched item presentation. It shows how icon CSS classes or image URLs can be provided by the data model to render compact, visually informative rows and enable expand/collapse interaction via icon click or double‑click on items. The pattern supports scenarios where visual identifiers improve recognition in deep or densely populated hierarchies.
Customization features:
- Expand or collapse nodes by clicking the item icon or double‑clicking the label for intuitive navigation and faster exploration of nested items.
- Render icons using the IconCss property to associate CSS classes with items and apply standardized visual styles.
- Display images by referencing the ImageUrl property when items include external or embedded images; this supports product thumbnails, avatars, or illustrative graphics.
Template options:
ItemTemplate— customize the layout of list items using the ItemTemplate for combinations of icons, images, supplementary text, and badges.HeaderTemplate— provide custom header content with the HeaderTemplate to surface controls, titles, or contextual actions.FooterTemplate— add contextual footer elements via the FooterTemplate such as summaries or action links.
Implementation notes:
Bind a data source that exposes icon or image fields and reference them in DropDownTreeField configuration. Prefer concise images and optimized assets to limit layout shifts; use CSS classes for scalable icons where possible. When composing templates, preserve keyboard navigation, focus management, and ARIA semantics so assistive technologies can interpret group and item roles correctly. Consult the linked API pages for code examples, recommended property mappings, and template patterns to follow consistent visual and accessibility practices. Test templates with both local and remote data sources and verify image loading, visual alignment, keyboard focus, selection persistence, and performance across target browsers and device form factors.