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Astrolabe Development Plan
A lightweight, browser-based snippet manager for Vega-Lite visualizations
For AI Context: See
CLAUDE.mdfor current status and key patterns. This Document: Complete development roadmap and technical decisions.
Project Vision
Astrolabe is a focused tool for managing, editing, and previewing Vega-Lite visualization specifications. It emphasizes efficient snippet management with a clean, resizable three-panel interface: snippet library, Monaco editor with schema-aware autocomplete, and live preview.
Design Principles
- Local-first: All data stored in browser (localStorage, future IndexedDB migration)
- Minimal dependencies: Vanilla JavaScript, no build tools, direct CDN imports
- Developer-friendly: Full JSON schema support, syntax validation, and intellisense
- Version-aware: Draft/published workflow for safe experimentation
- Dataset management: Separate storage for datasets with reference system
- Extensible: Clean architecture for future cloud sync and authentication
Planned Feature Set
- Resizable three-panel layout with show/hide toggles
- Auto-saving draft system with explicit publishing
- Snippet organization with sorting and search
- Storage monitoring and size tracking
- Export/import functionality
- Dataset library and management
- (Future) Authentication and cloud synchronization
Development Roadmap
Phase 0: Storage Architecture Design ✅ COMPLETE
Goal: Define data structures that accommodate full feature set
- Design snippet schema:
{id, name, created, modified, spec, draftSpec, comment, tags[], datasetRefs[], meta} - Design dataset schema:
{id, name, created, modified, data, format, rowCount, columnCount, size, columns, comment, tags, meta} - Design settings schema:
{panelWidths[], panelVisibility[], autoSaveDelay, meta} - Plan localStorage key structure and namespacing
- Define upgrade/migration path for schema changes
- Document storage architecture decisions (see storage-examples.md)
Deliverable: Documented data model that supports all planned features
Key Decisions Made:
- ID generation:
Date.now() + random numbersfor uniqueness - Auto-naming: ISO datetime format for default snippet names
- Draft/published workflow: separate
specanddraftSpecfields - Computed metadata: automatic calculation of size, rowCount, columns for datasets
- Extensibility:
metafield in all schemas for future enhancements - Settings persistence: panel state and UI preferences stored locally
Phase 1: Static HTML Structure ✅ COMPLETE
Goal: Basic three-panel layout with placeholder content
Deliverables:
- Three-panel flexbox layout (snippet library, editor, preview)
- Header with site branding (🔭 Astrolabe) and action links
- Toggle button strip with emoji icons (📄 ✏️ 👁️)
- Retro Windows 2000 aesthetic with classic colors and square edges
- Sort and search controls in snippet panel header
- Metadata panel for snippet details
Phase 2: Resizable Panels ✅ COMPLETE
Goal: Make panels draggable to resize
Deliverables:
- Drag handles between panels with hover/active states
- Mouse-based horizontal resizing with 200px minimum widths
- Panel memory system preserving preferred sizes when toggled
- Proportional redistribution when panels are hidden/shown
- localStorage persistence for panel widths, visibility, and memory
- Toggle buttons with active state indicators
Phase 3: Monaco Editor Integration ✅ COMPLETE
Goal: Working code editor with Vega-Lite schema
Deliverables:
- Monaco Editor v0.47.0 loaded from CDN
- JSON language mode with Vega-Lite v5 schema validation
- Autocomplete and intellisense for Vega-Lite specifications
- Format on paste/type enabled
- Error handling for schema loading failures
Phase 4: Vega-Lite Rendering ✅ COMPLETE
Goal: Live preview of visualizations
Deliverables:
- Vega, Vega-Lite, and Vega-Embed libraries loaded via CDN
- AMD loader conflict resolution between Monaco and Vega
- 1.5s debounced rendering on editor changes
- Immediate rendering on snippet selection
- Error display in preview panel for invalid specs
- SVG rendering for high-quality output
Phase 5: Data Model + LocalStorage ✅ COMPLETE
Goal: Persist snippets and load them on page refresh
Deliverables:
- SnippetStorage wrapper with error handling
- Full Phase 0 schema implementation (id, name, created, modified, spec, draftSpec, comment, tags, datasetRefs, meta)
- ID generation using timestamp + random numbers
- Auto-naming with ISO datetime format (YYYY-MM-DD_HH-MM-SS)
- Dynamic snippet list rendering with relative date formatting
- Default snippet initialization on first load
- Snippet selection loading specs into editor
Phase 6: Snippet Selection & Basic CRUD ✅ COMPLETE
Goal: Core snippet management with advanced organization
Deliverables:
- Snippet selection loading into editor with live preview
- Ghost card "Create New Snippet" interface at top of list
- Duplicate button creating copies with "_copy" suffix
- Delete button with confirmation dialog
- Inline name editing in metadata panel with auto-save
- Comment field with auto-save
- 1-second debounced auto-save for spec and metadata changes
- Multi-field sorting (Modified/Created/Name) with ascending/descending toggle
- Visual sort indicators with arrow icons (⬇⬆)
- Real-time search across name, comment, and spec content (300ms debounce)
- Search clear button
- Settings persistence for sort preferences
- Smart state management maintaining selection during operations
- Synchronous flag-based prevention of auto-save during programmatic updates
Phase 7: Draft/Published Workflow ✅ COMPLETE
Goal: Safe experimentation without losing working versions
Deliverables:
- Draft/Published toggle buttons in editor header (merged visual design)
- Status indicator lights on snippets (🟢 green = no changes, 🟡 yellow = has draft)
- Publish button (green, copies draftSpec → spec)
- Revert button (orange, copies spec → draftSpec with confirmation)
- Context-aware button visibility (only shown in draft mode)
- Read-only published view when draft exists
- Auto-draft creation when editing published view without draft
- Auto-select first snippet on page load
- Instant status light updates after auto-save
Phase 8: Storage Monitoring ✅ COMPLETE
Goal: Show storage usage and limits
Deliverables:
- Storage usage calculation using Blob API for accurate byte counting
- Progress bar display showing usage vs 5MB limit (e.g., "2.3 MB / 5 MB")
- Visual warning states: green (normal), orange (90%+ warning), red (95%+ critical)
- Storage monitor positioned at bottom of snippet panel below metadata
- Automatic updates after every save operation
- Alert dialog when localStorage quota is exceeded
- Flexbox layout ensuring monitor stays at panel bottom with scrollable snippet list
Phase 9: Export/Import ✅ COMPLETE
Goal: Portability and backup
Deliverables:
- Export all snippets to JSON file with auto-generated filename (astrolabe-snippets-YYYY-MM-DD.json)
- Import snippets from JSON with automatic format detection
- Support for both Astrolabe native format and external formats
- Automatic field mapping and normalization (createdAt → created, content → spec, draft → draftSpec)
- "imported" tag automatically added to externally imported snippets
- ID conflict resolution with automatic regeneration
- Additive import (merges with existing snippets, no overwrites)
- Success/error feedback with import count
- File picker integration with header Import/Export links
- Snippet size display in list (shows KB for snippets ≥ 1 KB, right-aligned)
Note: Drag-and-drop import and selective export options deferred to future phases
Phase 10: Dataset Management - Part 1
Goal: Separate dataset storage infrastructure
- Implement dataset storage schema from Phase 0
- Create dataset CRUD operations
- Add dataset library panel/modal
- List all stored datasets with metadata
- Add/delete/rename datasets
- Display dataset size and row counts
Deliverable: Basic dataset storage separate from snippets
Phase 11: Dataset Management - Part 2
Goal: Reference datasets from specs
- Detect inline data in Vega-Lite specs
- "Extract to dataset" feature for inline data
- Replace inline data with dataset references
- Auto-resolve dataset references when rendering
- Update snippet UI to show linked datasets
- Handle missing dataset references gracefully
Deliverable: Specs can reference shared datasets
Phase 12: Polish & UX Refinements
Goal: Professional feel and usability
- Improved visual design (minimal but polished CSS)
- Keyboard shortcuts (Ctrl+S to publish, Ctrl+N for new, etc.)
- Better error messages and validation feedback
- Loading states for rendering
- Empty states (no snippets, no datasets)
- Tooltips for buttons and features
- Cross-browser testing (Chrome, Firefox, Safari)
Deliverable: Polished, production-ready MVP
Phase 13: Advanced Snippet Features
Goal: Power user functionality
- Basic tagging system with tag filtering
- Snippet templates/starter library
- Bulk operations (delete multiple, export selected)
- Size calculation and display for snippets
Deliverable: Enhanced snippet discovery and organization
Note: Search/filter and sorting already implemented in Phase 6
Phase 14: Authentication & Backend (Future)
Goal: Multi-device sync and sharing
- Design minimal backend API
- User authentication (email/password or OAuth)
- Sync localStorage ↔ cloud storage
- Conflict resolution strategy
- Share snippets via URL
- Public snippet gallery (optional)
Deliverable: Cloud-backed, multi-device Astrolabe
Technical Stack
- Frontend: Vanilla JavaScript (ES6+), HTML5, CSS3
- Editor: Monaco Editor v0.47.0 (via CDN)
- Visualization: Vega-Embed v6 (includes Vega v5 & Vega-Lite v5)
- Storage: LocalStorage → IndexedDB (when needed)
- Architecture: Modular script organization with simple file separation
- Backend (future): TBD (minimal REST API)
Project Structure
/
├── index.html # Main HTML structure and markup
├── CLAUDE.md # Project instructions for Claude Code
├── src/
│ ├── styles.css # Retro Windows 2000 aesthetic styling
│ └── js/ # Modular JavaScript organization
│ ├── config.js # Global variables, settings, & sample data
│ ├── snippet-manager.js # Snippet storage, CRUD operations & localStorage wrapper
│ ├── panel-manager.js # Panel resize, toggle & memory system
│ ├── editor.js # Monaco Editor initialization & Vega-Lite rendering
│ └── app.js # Application initialization & event handlers
└── docs/
├── dev-plan.md # This development roadmap
└── storage-examples.md # Data model specifications
Development Principles
- Iterative: Each phase produces working, testable functionality
- Lean: No frameworks, no build step, minimal dependencies
- Data-first: Storage schema designed upfront for extensibility
- User-focused: Auto-save, clear state, forgiving UX
- Maintainable: Clean code organization with logical separation of concerns
- Simple: Favor code removal over addition; avoid over-engineering
Code Organization
- index.html: Main HTML structure with semantic markup
- app.js: Application initialization and event handler registration
- config.js: Global variables, settings management, and sample data
- snippet-manager.js: Storage wrapper and all snippet CRUD operations
- panel-manager.js: Layout resizing, toggling, and persistence
- editor.js: Monaco and Vega library loading and rendering logic
- styles.css: Retro Windows 2000 aesthetic with component-based organization
Current Status
Completed: Phases 0-9 (Storage, UI, editor, rendering, persistence, CRUD, organization, draft/published workflow, storage monitoring, import/export)
Next: Phase 10 - Dataset Management
See: CLAUDE.md for concise current state summary
Implemented Features
Core Capabilities (Phases 0-9)
- Three-panel resizable layout with memory and persistence
- Monaco Editor v0.47.0 with Vega-Lite v5 schema validation
- Live Vega-Lite rendering with debounced updates and error display
- localStorage-based snippet management with full CRUD
- Multi-field sorting (Modified/Created/Name) with direction toggle
- Real-time search across snippet name, comment, and spec content
- Auto-save system (1s debounce) for specs and metadata
- Ghost card interface for snippet creation
- Draft/Published workflow with version control
- Status indicator lights (green/yellow) showing draft state
- Context-aware Publish/Revert buttons with color coding
- Storage monitoring with visual progress bar and warning states
- Export/Import functionality with format auto-detection
- Snippet size display (right-aligned, shown for ≥ 1 KB)
- Retro Windows 2000 aesthetic throughout
Technical Implementation
- State Management: Synchronous
isUpdatingEditorflag prevents unwanted auto-saves - View Modes:
currentViewModetracks draft vs published state - Read-only Logic: Monaco editor locked in published view when draft exists
- Auto-draft Creation: Editing published without draft auto-switches to draft mode
- Debouncing: 1.5s render, 1s auto-save, 300ms search
- AMD Resolution: Temporary
window.definedisabling for Vega library loading - Panel Memory: localStorage persistence for sizes and visibility across sessions
- Data Model: Phase 0 schema with
spec(published) anddraftSpec(working) fields - Storage Calculation: Blob API for accurate byte counting of snippet data
- Flexbox Layout: Scrollable snippet list with fixed metadata and storage monitor at bottom
- Import/Export: Format detection, field normalization, ID conflict resolution, additive merging
- Size Display: Per-snippet size calculation with conditional rendering (≥ 1 KB threshold)