oleh/astrolabe-nvc
1
0
Fork 0
mirror of https://github.com/olehomelchenko/astrolabe-nvc.git synced 2025-12-21 21:22:23 +00:00
Code Issues Packages Projects Releases Wiki Activity

feat: dataset preview and interconnection (phase 12)

Browse Source
This commit is contained in:
Oleh Omelchenko
2025-10-16 01:45:29 +03:00
parent 5776f7e910
commit a3af753f42
9 changed files with 1249 additions and 42 deletions
Download Patch File Download Diff File Expand all files Collapse all files

51
docs/dev-plan.md
View File

@@ -300,19 +300,39 @@ Astrolabe is a focused tool for managing, editing, and previewing Vega-Lite visu
---
### **Phase 12: Advanced Dataset Features** _(Future)_
### **Phase 12: Advanced Dataset Features** ✅ **COMPLETE**
**Goal**: Enhanced dataset workflows
- [ ] Detect inline data in Vega-Lite specs
- [ ] "Extract to dataset" feature for inline data
- [ ] Update snippet UI to show linked datasets
- [ ] Dataset usage tracking (which snippets reference which datasets)
- [ ] Import datasets from file upload
- [ ] Export individual datasets
- [ ] Dataset preview with table view
- [ ] Column type detection and display
- [x] Detect inline data in Vega-Lite specs
- [x] "Extract to dataset" feature for inline data
- [x] Update snippet UI to show linked datasets
- [x] Dataset usage tracking (which snippets reference which datasets)
- [x] Bidirectional linking between snippets and datasets
- [x] Usage count badges on dataset list items
- [x] "New Snippet" button to create snippet from dataset
- [x] Import datasets from file upload
- [x] Export individual datasets
- [x] Dataset preview with table view
- [x] Column type detection and display
**Deliverable**: Advanced dataset management and discovery
**Deliverables**:
- Recursive dataset reference extraction from Vega-Lite specs
- Extract to Dataset modal with automatic spec transformation
- Bidirectional linking between snippets and datasets
- Usage tracking with visual indicators (📁 icon, 📄 count badges)
- Dataset import/export with auto-format detection
- Table preview with type detection (🔢📅✓🔤)
- On-demand URL preview loading with session cache
- New Snippet creation from datasets
**Technical Implementation**:
- Type detection: 80% threshold for number/date/boolean/text inference
- Table rendering: Vanilla JS with sticky headers, 20-row preview
- Cell formatting: Type-specific styling and alignment
- Import: Automatic naming with timestamp collision handling
- Export: Format-specific extensions with URL content fetching
- Preview cache: In-memory storage, not persisted to database
- Modal: 95% width (max 1200px), 85% height for improved data visibility
---
@@ -411,8 +431,8 @@ Astrolabe is a focused tool for managing, editing, and previewing Vega-Lite visu
## Current Status
**Completed**: Phases 0-11 (Storage, UI, editor, rendering, persistence, CRUD, organization, draft/published workflow, storage monitoring, import/export, dataset management, URL state management)
**Next**: Phase 12 - Advanced Dataset Features (optional enhancements)
**Completed**: Phases 0-12 (Storage, UI, editor, rendering, persistence, CRUD, organization, draft/published workflow, storage monitoring, import/export, dataset management, URL state management, advanced dataset features)
**Next**: Phase 13 - Polish & UX Refinements or Phase 14 - Advanced Snippet Features
**See**: `CLAUDE.md` for concise current state summary
---
@@ -450,6 +470,13 @@ Astrolabe is a focused tool for managing, editing, and previewing Vega-Lite visu
- Page reload preserves state
- Shareable URLs for specific snippets/datasets
- Restores snippet URL when closing dataset modal
- **Advanced Dataset Features (Phase 12)**:
- Bidirectional linking with usage tracking and navigation
- Extract to Dataset with automatic spec transformation
- Import/Export with format detection and URL content fetching
- Table preview with type detection and formatting (🔢📅✓🔤)
- On-demand URL preview loading with session cache
- New Snippet creation from datasets
- Retro Windows 2000 aesthetic throughout
- Component-based CSS architecture with base classes