SVSU-Capstone25/PLOT-FE
Apr 2025 – Apr 2025
1 Month active
Languages Used
C#JavaScriptRazor
Technical Skills
API IntegrationBlazorCSSFront-end DevelopmentFrontend DevelopmentHTML
Krzysko72
PROFILE
Krzysko72
Krzysztof Hejno developed robust export features for the SVSU-Capstone25/PLOT-FE repository, focusing on improving how users generate and download floorset data. He implemented a canvas-based PNG export flow and a structured PDF export, both integrated into the React-based PrintModal and FloorsetEditor components. Using TypeScript, JavaScript, and C#, he refactored data handling to ensure safe, seamless integration between UI elements and export logic. These enhancements replaced manual, image-based workflows with automated, user-friendly exports that include notes, allocations, and fixture data. The work established a scalable export pipeline, directly supporting client reporting needs and reducing manual processing steps.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
2
Lines of code
752
Activity Months1
Your Network
19 people
Work History
April 2025
7 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for SVSU-Capstone25/PLOT-FE focused on delivering robust export capabilities for floorsets and improving the data handling integration between the FloorsetEditor and PrintModal. Key work centered on two major features: a PNG export flow and an end-to-end PDF export, both designed to enhance user value and operational efficiency. Key achievements include: - Print Floorset as PNG with enhanced PrintModal UX and dynamic filename based on the floorset name; core export flow implemented and integrated with the UI. Refactors to FloorsetEditor and PrintModal improved safe data handling and smooth integration. - PDF Export for Floorsets (including notes, allocations, and fixture data): end-to-end export replacing image-based PDFs with a structured approach; export extended to include notes, allocations, and fixture instance data via PrintModal. - Incremental refinements to the export pipeline and UI components, with multiple commits advancing stability and usability. Overall impact: establish a scalable, user-friendly export workflow that directly supports client deliverables and reporting, reducing manual steps and ensuring consistent, named outputs for floorsets. Skills/technologies demonstrated: React UI components (PrintModal, FloorsetEditor), canvas-based PNG export, structured PDF generation, data handling and integration, TypeScript/JavaScript development, and UX-focused refactoring.
7 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for SVSU-Capstone25/PLOT-FE focused on delivering robust export capabilities for floorsets and improving the data handling integration between the FloorsetEditor and PrintModal. Key work centered on two major features: a PNG export flow and an end-to-end PDF export, both designed to enhance user value and operational efficiency. Key achievements include: - Print Floorset as PNG with enhanced PrintModal UX and dynamic filename based on the floorset name; core export flow implemented and integrated with the UI. Refactors to FloorsetEditor and PrintModal improved safe data handling and smooth integration. - PDF Export for Floorsets (including notes, allocations, and fixture data): end-to-end export replacing image-based PDFs with a structured approach; export extended to include notes, allocations, and fixture instance data via PrintModal. - Incremental refinements to the export pipeline and UI components, with multiple commits advancing stability and usability. Overall impact: establish a scalable, user-friendly export workflow that directly supports client deliverables and reporting, reducing manual steps and ensuring consistent, named outputs for floorsets. Skills/technologies demonstrated: React UI components (PrintModal, FloorsetEditor), canvas-based PNG export, structured PDF generation, data handling and integration, TypeScript/JavaScript development, and UX-focused refactoring.
April 2025
Activity
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Quality Metrics
Correctness82.8%
Maintainability80.0%
Architecture78.6%
Performance74.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
C#JavaScriptRazor
Technical Skills
API IntegrationBlazorCSSFront-end DevelopmentFrontend DevelopmentHTMLImage ProcessingJavaScriptPDF Generation
Repositories Contributed To
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