JFace Viewer
A developer-focused tool to configure and preview JFace viewers using sample data for Eclipse RCP UI validation.
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About This Tool
Conceptually, the workflow maps dataset fields to viewer elements, defines column definitions, and applies default sorting and filtering rules. It auto-detects common binding patterns (for example, id-to-row key, name-to-column label) and lets advanced users override mappings with explicit field-to-property bindings.
Who benefits: Java developers building Eclipse RCP or standalone UI components; QA teams validating data presentation; architecture teams drafting UI bindings. Unique value: multi-viewer support, dataset-agnostic mapping, exportable configuration, and validation feedback that highlights missing mappings and type mismatches. Core features: dataset ingestion, viewer-type selection, column and binding definitions, simple validation, and JSON export.
Use cases include validating how a dataset would render in a list, table, or tree without compiling code, generating templates for scaffolding, and accelerating UI design reviews.
How to Use
- Provide inputs: dataset_input (JSON or CSV), dataset_format (JSON/CSV), and viewer_type.
- Configure mapping: define column definitions and field-to-property bindings.
- Run configuration: generate a binding configuration and preview mapping.
- Review outputs: inspect generated_configuration and validation report.
- Export or reuse: save as JSON or import into code templates.
Frequently Asked Questions
Find Quick Answers
What data formats are supported?
Can I export the configuration?
Does the tool render the UI?
How is localization handled?
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