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feat: dataset preview and interconnection (phase 12)

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Oleh Omelchenko
2025-10-16 01:45:29 +03:00
parent 5776f7e910
commit a3af753f42
9 changed files with 1249 additions and 42 deletions
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9
.claude/settings.local.json Normal file
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@@ -0,0 +1,9 @@
{
"permissions": {
"allow": [
"Bash(awk:*)"
],
"deny": [],
"ask": []
}
}

10
CLAUDE.md
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@@ -17,8 +17,8 @@ Instructions for Claude Code when working on this project.
## Current Status
**Completed**: Phases 0-10 (Core functionality + Dataset Management)
**Next**: Phase 11 - Advanced Dataset Features (optional enhancements)
**Completed**: Phases 0-12 (Core functionality + Dataset Management + Advanced Dataset Features)
**Next**: Phase 13 - Polish & UX Refinements or Phase 14 - Advanced Snippet Features
### Key Features Implemented
- ✅ Snippet management with draft/published workflow
@@ -30,5 +30,11 @@ Instructions for Claude Code when working on this project.
- Automatic metadata calculation and URL fetching
- Dataset reference resolution in Vega-Lite specs
- Modal UI with button-group selectors
- ✅ **Advanced Dataset Features (Phase 12)**
- Bidirectional snippet ↔ dataset linking with usage tracking
- Extract inline data to datasets
- Import/Export datasets with auto-format detection
- Table preview with type detection (🔢📅🔤✓)
- On-demand URL preview loading with caching
See `docs/dev-plan.md` for complete roadmap and technical details.

51
docs/dev-plan.md
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@@ -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

81
docs/features-list.md
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@@ -2,7 +2,8 @@
> **Purpose**: Comprehensive inventory of all implemented features for code review and optimization
> **Created**: 2025-10-15
> **Status**: Phases 0-10 Complete
> **Updated**: 2025-10-16
> **Status**: Phases 0-12 Complete
---
@@ -200,15 +201,67 @@
---
### **13. Advanced Dataset Features (Phase 12)**
- **Dataset Dependencies & Linking**:
- Recursive dataset reference extraction from Vega-Lite specs
- Bidirectional snippet ↔ dataset linking with clickable links
- Dataset usage tracking and count badges (📄 count)
- Visual indicators (📁) for snippets using datasets
- Linked datasets section in snippet metadata
- Linked snippets section in dataset details
- Navigation between snippets and datasets via links
- **Extract to Dataset**:
- Inline data detection in draft specs
- Extract modal with name generation and preview
- Automatic spec transformation (inline → reference)
- Auto-update snippet with dataset reference
- Conditional Extract button (shows when inline data detected)
- **Import/Export Datasets**:
- Import from file (.json, .csv, .tsv, .txt)
- Auto-format detection from content and filename
- Automatic naming from filename with duplicate handling
- Timestamp suffix for duplicate names (e.g., "data_123456")
- Export to format-specific files (.json, .csv, .tsv, .topojson)
- URL dataset export fetches and downloads live content
- **Table Preview with Type Detection**:
- Raw/Table toggle for tabular data (JSON arrays, CSV, TSV)
- Vanilla JS table rendering (first 20 rows)
- Sticky headers with scrollable content
- Column type detection (80% threshold): number, date, boolean, text
- Type icons in headers: 🔢 📅 ✓ 🔤
- Type-specific formatting: italic numbers (right-aligned), italic dates, bold booleans
- Color coding: blue numbers, green dates, orange booleans, gray nulls
- Monospace font (Consolas/Monaco/Courier New)
- **URL Preview Loading**:
- On-demand fetch with "Load Preview" button
- In-memory cache for fetched data (session-only)
- Full table view and type detection for fetched data
- Error handling with retry option
- Data not saved to database (preview only)
- **New Snippet from Dataset**:
- Button in dataset details to create snippet
- Auto-generated minimal Vega-Lite spec with dataset reference
- Pre-populated comment and datasetRefs
- **UI Enhancements**:
- Larger modal (95% width, max 1200px, 85% height)
- Actions moved to top of dataset details
- Dataset list with usage badges
**Files**: `dataset-manager.js` (lines 19-1165), `snippet-manager.js` (dataset tracking), `app.js` (event handlers), `index.html` (UI), `styles.css` (table styles)
---
## 📊 **Feature Statistics**
- **Core Feature Groups**: 13
- **Total Individual Capabilities**: ~70+
- **Core Feature Groups**: 14
- **Total Individual Capabilities**: ~100+
- **Storage Systems**: 2 (localStorage for snippets, IndexedDB for datasets)
- **UI Panels**: 3 main + 1 modal
- **Auto-save Points**: 3 (draft spec, name, comment)
- **Data Formats**: 4 (JSON, CSV, TSV, TopoJSON)
- **Data Sources**: 2 (inline, URL)
- **Type Detection**: 4 types (number, date, boolean, text)
- **Import/Export**: Snippets + Datasets
---
@@ -218,15 +271,15 @@
src/
├── js/
│ ├── config.js # Global variables, settings, sample data
│ ├── snippet-manager.js # Snippet CRUD, storage, search, sort (977 lines)
│ ├── dataset-manager.js # Dataset CRUD, IndexedDB, auto-detection (714 lines)
│ ├── snippet-manager.js # Snippet CRUD, storage, search, sort, extract (1,100+ lines)
│ ├── dataset-manager.js # Dataset CRUD, IndexedDB, preview, types (1,200+ lines)
│ ├── panel-manager.js # Layout resizing, toggling, persistence (200 lines)
│ ├── editor.js # Monaco setup, Vega rendering, dataset resolution (150 lines)
│ └── app.js # Event handlers, initialization (197 lines)
└── styles.css # Retro Windows 2000 aesthetic
│ └── app.js # Event handlers, initialization (250+ lines)
└── styles.css # Retro Windows 2000 aesthetic (280+ lines)
```
**Total JS Lines**: ~2,238 lines (excluding comments and blank lines)
**Total JS Lines**: ~2,900+ lines (excluding comments and blank lines)
---
@@ -242,7 +295,11 @@ src/
## 📝 **Next Steps**
- Choose a feature number (1-12) to review in detail
- Analyze code for that feature to ensure all parts are necessary
- Remove dead code or consolidate redundancies
- Document any optimizations made
### Phase 12 Complete! All dataset features implemented.
**Potential Next Phases**:
- **Phase 13**: Polish & UX Refinements (keyboard shortcuts, tooltips, loading states)
- **Phase 14**: Advanced Snippet Features (tagging system, templates, bulk operations)
- **Phase 15**: Authentication & Backend (cloud sync, sharing)
**Current Priority**: Code review and optimization of Phase 12 features if needed.

64
index.html
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@@ -94,6 +94,13 @@
</div>
</div>
<div id="snippet-datasets-section" style="display: none;">
<div class="meta-header">Linked Datasets</div>
<div class="meta-info" id="snippet-datasets">
<!-- Dynamically populated by updateLinkedDatasets() -->
</div>
</div>
<div class="meta-actions">
<button class="btn btn-standard flex" id="duplicate-btn">Duplicate</button>
<button class="btn btn-standard flex danger" id="delete-btn">Delete</button>
@@ -119,6 +126,7 @@
<div class="panel-header">
<span>Editor</span>
<div class="editor-controls">
<button class="btn btn-action" id="extract-btn" style="display: none; background: #87CEEB;">Extract to Dataset</button>
<button class="btn btn-action publish" id="publish-btn">Publish</button>
<button class="btn btn-action revert" id="revert-btn">Revert</button>
<span class="view-label">View:</span>
@@ -160,6 +168,8 @@
<div id="dataset-list-view" class="dataset-view">
<div class="dataset-list-header">
<button class="btn btn-modal primary" id="new-dataset-btn">New Dataset</button>
<button class="btn btn-modal" id="import-dataset-btn">Import</button>
<input type="file" id="import-dataset-file" accept=".json,.csv,.tsv,.txt" style="display: none;" />
</div>
<div class="dataset-container">
<div class="dataset-list" id="dataset-list">
@@ -167,6 +177,13 @@
</div>
<div class="dataset-details" id="dataset-details" style="display: none;">
<div class="dataset-detail-section">
<div class="dataset-actions">
<button class="btn btn-modal primary" id="new-snippet-btn">New Snippet</button>
<button class="btn btn-modal" id="export-dataset-btn">Export</button>
<button class="btn btn-modal" id="copy-reference-btn">Copy Reference</button>
<button class="btn btn-modal danger" id="delete-dataset-btn">Delete</button>
</div>
<div class="dataset-detail-header">Name</div>
<input type="text" id="dataset-detail-name" class="input" placeholder="Dataset name..." />
@@ -204,12 +221,21 @@
</div>
</div>
<div class="dataset-detail-header">Preview</div>
<div class="dataset-detail-header-row">
<span class="dataset-detail-header">Preview</span>
<div class="preview-toggle-group" id="preview-toggle-group" style="display: none;">
<button class="btn btn-toggle small active" id="preview-raw-btn">Raw</button>
<button class="btn btn-toggle small" id="preview-table-btn">Table</button>
</div>
</div>
<pre id="dataset-preview" class="preview-box large"></pre>
<div id="dataset-preview-table" class="preview-table-container" style="display: none;"></div>
<div class="dataset-actions">
<button class="btn btn-modal" id="copy-reference-btn">Copy Reference</button>
<button class="btn btn-modal danger" id="delete-dataset-btn">Delete</button>
<div id="dataset-snippets-section" style="display: none;">
<div class="dataset-detail-header">Linked Snippets</div>
<div class="stats-box" id="dataset-snippets">
<!-- Dynamically populated by updateLinkedSnippets() -->
</div>
</div>
</div>
</div>
@@ -265,6 +291,36 @@
</div>
</div>
<!-- Extract to Dataset Modal -->
<div id="extract-modal" class="modal" style="display: none;">
<div class="modal-content" style="max-width: 600px; height: auto; max-height: 80vh;">
<div class="modal-header">
<span class="modal-title">Extract to Dataset</span>
<button class="btn btn-icon" id="extract-modal-close">×</button>
</div>
<div class="modal-body">
<div style="padding: 16px;">
<div class="dataset-form-group">
<label class="dataset-form-label">Dataset Name *</label>
<input type="text" id="extract-dataset-name" class="input" placeholder="Enter dataset name..." />
</div>
<div class="dataset-form-group">
<label class="dataset-form-label">Data Preview</label>
<pre id="extract-data-preview" class="preview-box large" style="max-height: 250px;"></pre>
</div>
<div class="dataset-form-error" id="extract-form-error"></div>
<div class="dataset-form-actions">
<button class="btn btn-modal primary" id="extract-create-btn">Create Dataset</button>
<button class="btn btn-modal" id="extract-cancel-btn">Cancel</button>
</div>
</div>
</div>
</div>
</div>
<script src="src/js/config.js"></script>
<script src="src/js/snippet-manager.js"></script>
<script src="src/js/dataset-manager.js"></script>

76
src/js/app.js
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@@ -160,6 +160,19 @@ document.addEventListener('DOMContentLoaded', function () {
newDatasetBtn.addEventListener('click', showNewDatasetForm);
}
// Import dataset button and file input
const importDatasetBtn = document.getElementById('import-dataset-btn');
const importDatasetFile = document.getElementById('import-dataset-file');
if (importDatasetBtn && importDatasetFile) {
importDatasetBtn.addEventListener('click', function () {
importDatasetFile.click();
});
importDatasetFile.addEventListener('change', function () {
importDatasetFromFile(this);
});
}
// Cancel dataset button
if (cancelDatasetBtn) {
cancelDatasetBtn.addEventListener('click', hideNewDatasetForm);
@@ -186,6 +199,36 @@ document.addEventListener('DOMContentLoaded', function () {
refreshMetadataBtn.addEventListener('click', refreshDatasetMetadata);
}
// New snippet from dataset button
const newSnippetBtn = document.getElementById('new-snippet-btn');
if (newSnippetBtn) {
newSnippetBtn.addEventListener('click', createNewSnippetFromDataset);
}
// Export dataset button
const exportDatasetBtn = document.getElementById('export-dataset-btn');
if (exportDatasetBtn) {
exportDatasetBtn.addEventListener('click', exportCurrentDataset);
}
// Preview toggle buttons
const previewRawBtn = document.getElementById('preview-raw-btn');
const previewTableBtn = document.getElementById('preview-table-btn');
if (previewRawBtn) {
previewRawBtn.addEventListener('click', function() {
if (window.currentDatasetData) {
showRawPreview(window.currentDatasetData);
}
});
}
if (previewTableBtn) {
previewTableBtn.addEventListener('click', function() {
if (window.currentDatasetData) {
showTablePreview(window.currentDatasetData);
}
});
}
// View mode toggle buttons
document.getElementById('view-draft').addEventListener('click', () => {
switchViewMode('draft');
@@ -198,6 +241,39 @@ document.addEventListener('DOMContentLoaded', function () {
// Publish and Revert buttons
document.getElementById('publish-btn').addEventListener('click', publishDraft);
document.getElementById('revert-btn').addEventListener('click', revertDraft);
// Extract to Dataset button
const extractBtn = document.getElementById('extract-btn');
if (extractBtn) {
extractBtn.addEventListener('click', showExtractModal);
}
// Extract modal buttons
const extractModalClose = document.getElementById('extract-modal-close');
const extractCancelBtn = document.getElementById('extract-cancel-btn');
const extractCreateBtn = document.getElementById('extract-create-btn');
const extractModal = document.getElementById('extract-modal');
if (extractModalClose) {
extractModalClose.addEventListener('click', hideExtractModal);
}
if (extractCancelBtn) {
extractCancelBtn.addEventListener('click', hideExtractModal);
}
if (extractCreateBtn) {
extractCreateBtn.addEventListener('click', extractToDataset);
}
// Close modal on overlay click
if (extractModal) {
extractModal.addEventListener('click', function (e) {
if (e.target === extractModal) {
hideExtractModal();
}
});
}
});
// Handle URL hash changes (browser back/forward)

621
src/js/dataset-manager.js
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@@ -221,6 +221,14 @@ async function getCurrentDataset() {
return window.currentDatasetId ? await DatasetStorage.getDataset(window.currentDatasetId) : null;
}
// Count how many snippets use a specific dataset
function countSnippetUsage(datasetName) {
const snippets = SnippetStorage.loadSnippets();
return snippets.filter(snippet =>
snippet.datasetRefs && snippet.datasetRefs.includes(datasetName)
).length;
}
// Fetch URL data and calculate metadata
async function fetchURLMetadata(url, format) {
try {
@@ -293,12 +301,19 @@ async function renderDatasetList() {
metaText = `${dataset.rowCount} rows • ${dataset.format.toUpperCase()} • ${formatBytes(dataset.size)}`;
}
// Count snippet usage and create badge
const usageCount = countSnippetUsage(dataset.name);
const usageBadge = usageCount > 0
? `<div class="dataset-usage-badge" title="${usageCount} snippet${usageCount !== 1 ? 's' : ''} using this dataset">📄 ${usageCount}</div>`
: '';
return `
<div class="dataset-item" data-dataset-id="${dataset.id}">
<div class="dataset-info">
<div class="dataset-name">${dataset.name}</div>
<div class="dataset-meta">${metaText}</div>
</div>
${usageBadge}
</div>
`;
}).join('');
@@ -346,7 +361,165 @@ async function selectDataset(datasetId, updateURL = true) {
document.getElementById('dataset-detail-created').textContent = new Date(dataset.created).toLocaleString();
document.getElementById('dataset-detail-modified').textContent = new Date(dataset.modified).toLocaleString();
// Show preview
// Show/hide preview toggle based on data type
const toggleGroup = document.getElementById('preview-toggle-group');
const canShowTable = (dataset.format === 'json' || dataset.format === 'csv' || dataset.format === 'tsv');
if (dataset.source === 'url') {
// For URL datasets, check if we have cached preview data
if (window.urlPreviewCache && window.urlPreviewCache[dataset.id]) {
if (canShowTable) {
toggleGroup.style.display = 'flex';
} else {
toggleGroup.style.display = 'none';
}
showRawPreview(dataset);
} else {
// Show load preview option
toggleGroup.style.display = 'none';
showURLPreviewPrompt(dataset);
}
} else {
// For inline datasets
if (canShowTable) {
toggleGroup.style.display = 'flex';
} else {
toggleGroup.style.display = 'none';
}
showRawPreview(dataset);
}
// Store current dataset ID and data
window.currentDatasetId = datasetId;
window.currentDatasetData = dataset;
// Update linked snippets display
updateLinkedSnippets(dataset);
// Update URL state (URLState.update will add 'dataset-' prefix)
if (updateURL) {
URLState.update({ view: 'datasets', snippetId: null, datasetId: datasetId });
}
}
// Show URL preview prompt (button to load data)
function showURLPreviewPrompt(dataset) {
const previewBox = document.getElementById('dataset-preview');
const tableContainer = document.getElementById('dataset-preview-table');
previewBox.style.display = 'block';
tableContainer.style.display = 'none';
const promptHTML = `
<div style="text-align: center; padding: 20px;">
<div style="margin-bottom: 12px; font-size: 11px; color: #606060;">
URL: ${dataset.data}<br/>
Format: ${dataset.format.toUpperCase()}
</div>
<button class="btn btn-standard primary" id="load-preview-btn">Load Preview</button>
<div style="margin-top: 8px; font-size: 10px; color: #808080; font-style: italic;">
Data will be fetched but not saved
</div>
</div>
`;
previewBox.innerHTML = promptHTML;
// Add click handler
const loadBtn = document.getElementById('load-preview-btn');
if (loadBtn) {
loadBtn.addEventListener('click', async () => {
await loadURLPreview(dataset);
});
}
}
// Load and cache URL preview data
async function loadURLPreview(dataset) {
const previewBox = document.getElementById('dataset-preview');
previewBox.innerHTML = '<div style="text-align: center; padding: 20px; font-size: 11px;">Loading data from URL...</div>';
try {
const response = await fetch(dataset.data);
if (!response.ok) {
throw new Error(`HTTP ${response.status}: ${response.statusText}`);
}
const text = await response.text();
// Parse data based on format
let parsedData;
if (dataset.format === 'json' || dataset.format === 'topojson') {
parsedData = JSON.parse(text);
} else if (dataset.format === 'csv' || dataset.format === 'tsv') {
parsedData = text;
}
// Cache the preview data (don't save to DB)
if (!window.urlPreviewCache) {
window.urlPreviewCache = {};
}
window.urlPreviewCache[dataset.id] = {
data: parsedData,
fetchedAt: Date.now()
};
// Create a temporary dataset object with the fetched data
const previewDataset = {
...dataset,
data: parsedData,
source: 'inline' // Treat as inline for preview purposes
};
// Update current dataset data for preview
window.currentDatasetData = previewDataset;
// Show toggle buttons now that we have data
const toggleGroup = document.getElementById('preview-toggle-group');
const canShowTable = (dataset.format === 'json' || dataset.format === 'csv' || dataset.format === 'tsv');
if (canShowTable) {
toggleGroup.style.display = 'flex';
}
// Show the preview
showRawPreview(previewDataset);
} catch (error) {
previewBox.innerHTML = `
<div style="text-align: center; padding: 20px; color: #f00; font-size: 11px;">
<div style="margin-bottom: 8px;">Failed to load URL data:</div>
<div>${error.message}</div>
<button class="btn btn-standard" id="retry-preview-btn" style="margin-top: 12px;">Retry</button>
</div>
`;
const retryBtn = document.getElementById('retry-preview-btn');
if (retryBtn) {
retryBtn.addEventListener('click', async () => {
await loadURLPreview(dataset);
});
}
}
}
// Show raw preview
function showRawPreview(dataset) {
const rawBtn = document.getElementById('preview-raw-btn');
const tableBtn = document.getElementById('preview-table-btn');
const previewBox = document.getElementById('dataset-preview');
const tableContainer = document.getElementById('dataset-preview-table');
// Update button states
if (rawBtn && tableBtn) {
rawBtn.classList.add('active');
tableBtn.classList.remove('active');
}
// Show raw, hide table
previewBox.style.display = 'block';
tableContainer.style.display = 'none';
// Generate preview text
let previewText;
if (dataset.source === 'url') {
previewText = `URL: ${dataset.data}\nFormat: ${dataset.format.toUpperCase()}`;
@@ -357,15 +530,249 @@ async function selectDataset(datasetId, updateURL = true) {
const lines = dataset.data.split('\n');
previewText = lines.slice(0, 6).join('\n'); // Header + 5 rows
}
document.getElementById('dataset-preview').textContent = previewText;
// Store current dataset ID
window.currentDatasetId = datasetId;
// Update URL state (URLState.update will add 'dataset-' prefix)
if (updateURL) {
URLState.update({ view: 'datasets', snippetId: null, datasetId: datasetId });
previewBox.textContent = previewText;
}
// Detect column type from sample values
function detectColumnType(values) {
// Filter out null/undefined values
const validValues = values.filter(v => v !== null && v !== undefined && v !== '');
if (validValues.length === 0) return 'text';
let numberCount = 0;
let booleanCount = 0;
let dateCount = 0;
for (const val of validValues) {
const str = String(val).trim();
// Check boolean
if (str === 'true' || str === 'false' || str === '0' || str === '1' ||
str === 'True' || str === 'False' || str === 'TRUE' || str === 'FALSE') {
booleanCount++;
continue;
}
// Check number
const num = parseFloat(str);
if (!isNaN(num) && isFinite(num) && str === String(num)) {
numberCount++;
continue;
}
// Check date (ISO format or common patterns)
// ISO: 2024-01-15, 2024-01-15T10:30:00, etc.
const isoDatePattern = /^\d{4}-\d{2}-\d{2}(T\d{2}:\d{2}:\d{2})?/;
// Common: 01/15/2024, 15-01-2024, etc.
const commonDatePattern = /^\d{1,2}[-/]\d{1,2}[-/]\d{2,4}$/;
if (isoDatePattern.test(str) || commonDatePattern.test(str)) {
const parsed = new Date(str);
if (!isNaN(parsed.getTime())) {
dateCount++;
continue;
}
}
}
const total = validValues.length;
const threshold = 0.8; // 80% of values must match type
if (booleanCount / total >= threshold) return 'boolean';
if (numberCount / total >= threshold) return 'number';
if (dateCount / total >= threshold) return 'date';
return 'text';
}
// Get type icon
function getTypeIcon(type) {
switch (type) {
case 'number': return '🔢';
case 'date': return '📅';
case 'boolean': return '✓';
case 'text':
default: return '🔤';
}
}
// Show table preview
function showTablePreview(dataset) {
const rawBtn = document.getElementById('preview-raw-btn');
const tableBtn = document.getElementById('preview-table-btn');
const previewBox = document.getElementById('dataset-preview');
const tableContainer = document.getElementById('dataset-preview-table');
// Update button states
rawBtn.classList.remove('active');
tableBtn.classList.add('active');
// Hide raw, show table
previewBox.style.display = 'none';
tableContainer.style.display = 'block';
// Generate table HTML
let tableHTML = '';
const maxRows = 20; // Show first 20 rows
if (dataset.format === 'json') {
if (!Array.isArray(dataset.data) || dataset.data.length === 0) {
tableHTML = '<div class="preview-table-info">Cannot display non-array JSON data in table format</div>';
} else {
const rows = dataset.data.slice(0, maxRows);
const columns = Object.keys(rows[0] || {});
// Detect column types
const columnTypes = {};
columns.forEach(col => {
const values = dataset.data.map(row => row[col]);
columnTypes[col] = detectColumnType(values);
});
tableHTML = '<table class="preview-table">';
tableHTML += '<thead><tr>';
columns.forEach(col => {
const typeIcon = getTypeIcon(columnTypes[col]);
tableHTML += `<th><span class="type-icon">${typeIcon}</span> ${col}</th>`;
});
tableHTML += '</tr></thead>';
tableHTML += '<tbody>';
rows.forEach(row => {
tableHTML += '<tr>';
columns.forEach(col => {
const value = row[col];
const type = columnTypes[col];
let displayValue = '';
let cssClass = '';
if (value === null || value === undefined) {
displayValue = '';
cssClass = 'cell-null';
} else if (typeof value === 'object') {
displayValue = JSON.stringify(value);
cssClass = 'cell-text';
} else {
displayValue = String(value);
cssClass = `cell-${type}`;
}
tableHTML += `<td class="${cssClass}">${displayValue}</td>`;
});
tableHTML += '</tr>';
});
tableHTML += '</tbody></table>';
if (dataset.data.length > maxRows) {
tableHTML += `<div class="preview-table-info">Showing first ${maxRows} of ${dataset.data.length} rows</div>`;
}
}
} else if (dataset.format === 'csv' || dataset.format === 'tsv') {
const separator = dataset.format === 'csv' ? ',' : '\t';
const lines = dataset.data.split('\n').filter(line => line.trim());
if (lines.length < 2) {
tableHTML = '<div class="preview-table-info">No data to display</div>';
} else {
const headerLine = lines[0];
const headers = headerLine.split(separator).map(h => h.trim().replace(/^"|"$/g, ''));
const dataLines = lines.slice(1, maxRows + 1);
const allDataLines = lines.slice(1); // All lines for type detection
// Parse all data for type detection
const columnData = headers.map(() => []);
allDataLines.forEach(line => {
const cells = line.split(separator).map(c => c.trim().replace(/^"|"$/g, ''));
cells.forEach((cell, idx) => {
if (columnData[idx]) {
columnData[idx].push(cell);
}
});
});
// Detect column types
const columnTypes = columnData.map(colValues => detectColumnType(colValues));
tableHTML = '<table class="preview-table">';
tableHTML += '<thead><tr>';
headers.forEach((header, idx) => {
const typeIcon = getTypeIcon(columnTypes[idx]);
tableHTML += `<th><span class="type-icon">${typeIcon}</span> ${header}</th>`;
});
tableHTML += '</tr></thead>';
tableHTML += '<tbody>';
dataLines.forEach(line => {
const cells = line.split(separator).map(c => c.trim().replace(/^"|"$/g, ''));
tableHTML += '<tr>';
cells.forEach((cell, idx) => {
const type = columnTypes[idx] || 'text';
const cssClass = cell === '' ? 'cell-null' : `cell-${type}`;
tableHTML += `<td class="${cssClass}">${cell}</td>`;
});
tableHTML += '</tr>';
});
tableHTML += '</tbody></table>';
if (lines.length > maxRows + 1) {
tableHTML += `<div class="preview-table-info">Showing first ${maxRows} of ${lines.length - 1} rows</div>`;
}
}
}
tableContainer.innerHTML = tableHTML;
}
// Update linked snippets display in dataset details panel
function updateLinkedSnippets(dataset) {
const snippetsSection = document.getElementById('dataset-snippets-section');
const snippetsContainer = document.getElementById('dataset-snippets');
if (!snippetsSection || !snippetsContainer) return;
// Find all snippets that reference this dataset
const snippets = SnippetStorage.loadSnippets();
const linkedSnippets = snippets.filter(snippet =>
snippet.datasetRefs && snippet.datasetRefs.includes(dataset.name)
);
if (linkedSnippets.length === 0) {
snippetsSection.style.display = 'none';
return;
}
// Show section and populate with snippet links
snippetsSection.style.display = 'block';
const snippetItems = linkedSnippets.map(snippet => {
return `
<div class="stat-item">
<span class="stat-label">📄</span>
<span>
<a href="#" class="snippet-link" data-snippet-id="${snippet.id}">${snippet.name}</a>
</span>
</div>
`;
}).join('');
snippetsContainer.innerHTML = snippetItems;
// Attach click handlers to snippet links
snippetsContainer.querySelectorAll('.snippet-link').forEach(link => {
link.addEventListener('click', function(e) {
e.preventDefault();
const snippetId = parseFloat(this.dataset.snippetId);
openSnippetFromDataset(snippetId);
});
});
}
// Close dataset manager and open snippet
function openSnippetFromDataset(snippetId) {
// Close dataset manager
closeDatasetManager();
// Small delay to ensure UI is ready
setTimeout(() => {
selectSnippet(snippetId);
}, 100);
}
// Open dataset manager modal
@@ -742,7 +1149,17 @@ async function deleteCurrentDataset() {
const dataset = await getCurrentDataset();
if (!dataset) return;
if (confirm(`Delete dataset "${dataset.name}"? This action cannot be undone.`)) {
// Check if dataset is in use
const usageCount = countSnippetUsage(dataset.name);
let confirmMessage = `Delete dataset "${dataset.name}"?`;
if (usageCount > 0) {
confirmMessage = `⚠️ Warning: Dataset "${dataset.name}" is currently used by ${usageCount} snippet${usageCount !== 1 ? 's' : ''}.\n\nDeleting this dataset will break those visualizations. Are you sure you want to delete it?`;
} else {
confirmMessage += ' This action cannot be undone.';
}
if (confirm(confirmMessage)) {
await DatasetStorage.deleteDataset(dataset.id);
document.getElementById('dataset-details').style.display = 'none';
window.currentDatasetId = null;
@@ -794,3 +1211,187 @@ async function refreshDatasetMetadata() {
refreshBtn.disabled = false;
}
}
// Create new snippet from current dataset
async function createNewSnippetFromDataset() {
const dataset = await getCurrentDataset();
if (!dataset) return;
// Close dataset manager
closeDatasetManager();
// Small delay to ensure UI is ready
setTimeout(() => {
// Call the function from snippet-manager.js
createSnippetFromDataset(dataset.name);
}, 100);
}
// Export dataset to file
async function exportCurrentDataset() {
const dataset = await getCurrentDataset();
if (!dataset) return;
let dataToExport;
let filename;
let mimeType;
try {
if (dataset.source === 'url') {
// For URL datasets, fetch the content and export it
const response = await fetch(dataset.data);
if (!response.ok) {
throw new Error(`HTTP ${response.status}: ${response.statusText}`);
}
const content = await response.text();
dataToExport = content;
} else {
// For inline datasets, export the stored data
if (dataset.format === 'json' || dataset.format === 'topojson') {
dataToExport = JSON.stringify(dataset.data, null, 2);
} else if (dataset.format === 'csv' || dataset.format === 'tsv') {
dataToExport = dataset.data;
}
}
// Determine file extension and MIME type
switch (dataset.format) {
case 'json':
filename = `${dataset.name}.json`;
mimeType = 'application/json';
break;
case 'csv':
filename = `${dataset.name}.csv`;
mimeType = 'text/csv';
break;
case 'tsv':
filename = `${dataset.name}.tsv`;
mimeType = 'text/tab-separated-values';
break;
case 'topojson':
filename = `${dataset.name}.topojson`;
mimeType = 'application/json';
break;
default:
filename = `${dataset.name}.txt`;
mimeType = 'text/plain';
}
// Create blob and download
const blob = new Blob([dataToExport], { type: mimeType });
const url = URL.createObjectURL(blob);
const link = document.createElement('a');
link.href = url;
link.download = filename;
document.body.appendChild(link);
link.click();
document.body.removeChild(link);
URL.revokeObjectURL(url);
} catch (error) {
alert(`Failed to export dataset: ${error.message}`);
}
}
// Detect format from file extension
function detectFormatFromFilename(filename) {
const lower = filename.toLowerCase();
if (lower.endsWith('.json')) return 'json';
if (lower.endsWith('.csv')) return 'csv';
if (lower.endsWith('.tsv') || lower.endsWith('.tab') || lower.endsWith('.txt')) return 'tsv';
if (lower.endsWith('.topojson')) return 'topojson';
return null;
}
// Import dataset from file
async function importDatasetFromFile(fileInput) {
const file = fileInput.files[0];
if (!file) return;
try {
// Read file content
const text = await file.text();
// Try to detect format from filename first
let formatHint = detectFormatFromFilename(file.name);
// Auto-detect format from content
const detection = detectDataFormat(text);
// Use filename hint if content detection is uncertain
let format = detection.format;
if (!format && formatHint) {
format = formatHint;
}
if (!format) {
alert('Could not detect data format from file. Please ensure the file contains valid JSON, CSV, or TSV data.');
return;
}
// Generate default name from filename (remove extension)
let baseName = file.name.replace(/\.(json|csv|tsv|txt|topojson)$/i, '');
// Check if name already exists and make it unique
let datasetName = baseName;
let wasRenamed = false;
let counter = 1;
while (await DatasetStorage.nameExists(datasetName)) {
wasRenamed = true;
// Add timestamp-based suffix for uniqueness
const timestamp = Date.now().toString().slice(-6); // Last 6 digits of timestamp
datasetName = `${baseName}_${timestamp}`;
// If still exists (unlikely), add a counter
if (await DatasetStorage.nameExists(datasetName)) {
datasetName = `${baseName}_${timestamp}_${counter}`;
counter++;
} else {
break;
}
}
// Prepare data based on format
let data;
if (format === 'json' || format === 'topojson') {
if (!detection.parsed) {
alert('Invalid JSON data in file.');
return;
}
data = detection.parsed;
} else if (format === 'csv' || format === 'tsv') {
const lines = text.trim().split('\n');
if (lines.length < 2) {
alert(`${format.toUpperCase()} file must have at least a header row and one data row.`);
return;
}
data = text.trim();
}
// Create dataset
await DatasetStorage.createDataset(
datasetName,
data,
format,
'inline',
`Imported from file: ${file.name}`
);
// Refresh the list
await renderDatasetList();
// Show success message with rename notification if applicable
if (wasRenamed) {
alert(`Dataset name "${baseName}" was already taken, so your dataset was automatically renamed to "${datasetName}".`);
} else {
alert(`Dataset "${datasetName}" imported successfully!`);
}
} catch (error) {
alert(`Failed to import dataset: ${error.message}`);
} finally {
// Reset file input
fileInput.value = '';
}
}

348
src/js/snippet-manager.js
View File

@@ -16,6 +16,117 @@ function generateSnippetName() {
return `${now.getFullYear()}-${pad(now.getMonth() + 1)}-${pad(now.getDate())}_${pad(now.getHours())}-${pad(now.getMinutes())}-${pad(now.getSeconds())}`;
}
// Extract dataset references from Vega-Lite spec
function extractDatasetRefs(spec) {
const datasetNames = new Set();
function traverse(obj) {
if (!obj || typeof obj !== 'object') return;
// Check if this is a data object with a name property
if (obj.data && typeof obj.data === 'object' && obj.data.name) {
datasetNames.add(obj.data.name);
}
// Recursively check all properties
for (const key in obj) {
if (obj.hasOwnProperty(key)) {
traverse(obj[key]);
}
}
}
traverse(spec);
return Array.from(datasetNames);
}
// Detect if spec has inline data (data.values)
function hasInlineData(spec) {
if (!spec || typeof spec !== 'object') return false;
// Check top-level data.values
if (spec.data && Array.isArray(spec.data.values)) {
return true;
}
// Check common nested locations (layer, concat, hconcat, vconcat, facet)
const nestedKeys = ['layer', 'concat', 'hconcat', 'vconcat', 'spec'];
for (const key of nestedKeys) {
if (Array.isArray(spec[key])) {
for (const item of spec[key]) {
if (hasInlineData(item)) {
return true;
}
}
} else if (spec[key] && typeof spec[key] === 'object') {
if (hasInlineData(spec[key])) {
return true;
}
}
}
return false;
}
// Extract inline data from spec (finds first occurrence)
function extractInlineDataFromSpec(spec) {
if (!spec || typeof spec !== 'object') return null;
// Check top-level data.values
if (spec.data && Array.isArray(spec.data.values)) {
return spec.data.values;
}
// Check nested locations
const nestedKeys = ['layer', 'concat', 'hconcat', 'vconcat', 'spec'];
for (const key of nestedKeys) {
if (Array.isArray(spec[key])) {
for (const item of spec[key]) {
const data = extractInlineDataFromSpec(item);
if (data) return data;
}
} else if (spec[key] && typeof spec[key] === 'object') {
const data = extractInlineDataFromSpec(spec[key]);
if (data) return data;
}
}
return null;
}
// Replace inline data with dataset reference
function replaceInlineDataWithReference(spec, datasetName) {
if (!spec || typeof spec !== 'object') return spec;
// Clone the spec to avoid mutation
const newSpec = JSON.parse(JSON.stringify(spec));
function replaceData(obj) {
if (!obj || typeof obj !== 'object') return;
// Replace top-level data.values with data.name
if (obj.data && Array.isArray(obj.data.values)) {
obj.data = { name: datasetName };
return; // Stop after first replacement
}
// Check nested locations
const nestedKeys = ['layer', 'concat', 'hconcat', 'vconcat', 'spec'];
for (const key of nestedKeys) {
if (Array.isArray(obj[key])) {
for (const item of obj[key]) {
replaceData(item);
}
} else if (obj[key] && typeof obj[key] === 'object') {
replaceData(obj[key]);
}
}
}
replaceData(newSpec);
return newSpec;
}
// Create a new snippet using Phase 0 schema
function createSnippet(spec, name = null) {
const now = new Date().toISOString();
@@ -247,10 +358,14 @@ function renderSnippetList(searchQuery = null) {
const hasDraft = JSON.stringify(snippet.spec) !== JSON.stringify(snippet.draftSpec);
const statusClass = hasDraft ? 'draft' : 'published';
// Check if snippet uses external datasets
const usesDatasets = snippet.datasetRefs && snippet.datasetRefs.length > 0;
const datasetIconHTML = usesDatasets ? '<span class="snippet-dataset-icon" title="Uses external dataset">📁</span>' : '';
return `
<li class="snippet-item" data-snippet-id="${snippet.id}">
<div class="snippet-info">
<div class="snippet-name">${snippet.name}</div>
<div class="snippet-name">${snippet.name}${datasetIconHTML}</div>
<div class="snippet-date">${dateText}</div>
</div>
${sizeHTML}
@@ -501,12 +616,82 @@ function selectSnippet(snippetId, updateURL = true) {
// Store currently selected snippet ID globally
window.currentSnippetId = snippetId;
// Update linked datasets display
updateLinkedDatasets(snippet);
// Update Extract to Dataset button visibility
updateExtractButton();
// Update URL state (URLState.update will add 'snippet-' prefix)
if (updateURL) {
URLState.update({ view: 'snippets', snippetId: snippetId, datasetId: null });
}
}
// Update linked datasets display in metadata panel
function updateLinkedDatasets(snippet) {
const datasetsSection = document.getElementById('snippet-datasets-section');
const datasetsContainer = document.getElementById('snippet-datasets');
if (!datasetsSection || !datasetsContainer) return;
// Get dataset references from snippet
const datasetRefs = snippet.datasetRefs || [];
if (datasetRefs.length === 0) {
datasetsSection.style.display = 'none';
return;
}
// Show section and populate with dataset references
datasetsSection.style.display = 'block';
const datasetItems = datasetRefs.map(datasetName => {
return `
<div class="meta-info-item">
<span class="meta-info-label">📁</span>
<span class="meta-info-value">
<a href="#" class="dataset-link" data-dataset-name="${datasetName}">${datasetName}</a>
</span>
</div>
`;
}).join('');
datasetsContainer.innerHTML = datasetItems;
// Attach click handlers to dataset links
datasetsContainer.querySelectorAll('.dataset-link').forEach(link => {
link.addEventListener('click', async function(e) {
e.preventDefault();
const datasetName = this.dataset.datasetName;
await openDatasetByName(datasetName);
});
});
}
// Open dataset manager and select dataset by name
async function openDatasetByName(datasetName) {
// Open dataset manager modal
openDatasetManager();
// Wait for datasets to load and find the one with matching name
// We need to use DatasetStorage which is defined in dataset-manager.js
try {
const dataset = await DatasetStorage.getDatasetByName(datasetName);
if (dataset) {
// Small delay to ensure UI is ready
setTimeout(() => {
selectDataset(dataset.id);
}, 100);
} else {
alert(`Dataset "${datasetName}" not found. It may have been deleted.`);
}
} catch (error) {
console.error('Error opening dataset:', error);
alert(`Could not open dataset "${datasetName}".`);
}
}
// Auto-save functionality
let autoSaveTimeout;
window.isUpdatingEditor = false; // Global flag to prevent auto-save/debounce during programmatic updates
@@ -524,9 +709,13 @@ function autoSaveDraft() {
if (snippet) {
snippet.draftSpec = currentSpec;
// Extract and update dataset references
snippet.datasetRefs = extractDatasetRefs(currentSpec);
SnippetStorage.saveSnippet(snippet);
// Refresh snippet list to update status light
// Refresh snippet list to update status light and dataset indicator
renderSnippetList();
// Restore selection
restoreSnippetSelection();
@@ -670,6 +859,157 @@ function duplicateSnippet(snippetId) {
return newSnippet;
}
// Create new snippet from dataset with minimal spec
function createSnippetFromDataset(datasetName) {
const minimalSpec = {
"$schema": "https://vega.github.io/schema/vega-lite/v5.json",
"data": {"name": datasetName},
"mark": "point",
"encoding": {}
};
const newSnippet = createSnippet(minimalSpec);
newSnippet.comment = `Visualization using dataset: ${datasetName}`;
newSnippet.datasetRefs = [datasetName];
SnippetStorage.saveSnippet(newSnippet);
// Refresh the list and select the new snippet
renderSnippetList();
selectSnippet(newSnippet.id);
return newSnippet;
}
// Show extract to dataset modal
function showExtractModal() {
const snippet = getCurrentSnippet();
if (!snippet) return;
// Get the draft spec (most recent version)
const spec = snippet.draftSpec;
// Check if spec has inline data
if (!hasInlineData(spec)) {
alert('No inline data found in this snippet.');
return;
}
// Extract the inline data
const inlineData = extractInlineDataFromSpec(spec);
if (!inlineData || inlineData.length === 0) {
alert('No inline data could be extracted.');
return;
}
// Generate default dataset name from snippet name
const defaultName = `${snippet.name}_data`.replace(/[^a-zA-Z0-9_-]/g, '_');
// Show modal
const modal = document.getElementById('extract-modal');
const nameInput = document.getElementById('extract-dataset-name');
const previewEl = document.getElementById('extract-data-preview');
const errorEl = document.getElementById('extract-form-error');
nameInput.value = defaultName;
previewEl.textContent = JSON.stringify(inlineData.slice(0, 10), null, 2);
if (inlineData.length > 10) {
previewEl.textContent += `\n\n... (${inlineData.length - 10} more rows)`;
}
errorEl.textContent = '';
modal.style.display = 'flex';
}
// Hide extract to dataset modal
function hideExtractModal() {
const modal = document.getElementById('extract-modal');
modal.style.display = 'none';
}
// Extract to dataset - create dataset and update snippet
async function extractToDataset() {
const snippet = getCurrentSnippet();
if (!snippet) return;
const nameInput = document.getElementById('extract-dataset-name');
const errorEl = document.getElementById('extract-form-error');
const datasetName = nameInput.value.trim();
errorEl.textContent = '';
// Validation
if (!datasetName) {
errorEl.textContent = 'Dataset name is required';
return;
}
// Check if dataset name already exists
if (await DatasetStorage.nameExists(datasetName)) {
errorEl.textContent = 'A dataset with this name already exists';
return;
}
// Extract inline data from draft spec
const inlineData = extractInlineDataFromSpec(snippet.draftSpec);
if (!inlineData) {
errorEl.textContent = 'Could not extract inline data';
return;
}
try {
// Create dataset in IndexedDB
await DatasetStorage.createDataset(datasetName, inlineData, 'json', 'inline', `Extracted from snippet: ${snippet.name}`);
// Replace inline data with dataset reference in draft spec
snippet.draftSpec = replaceInlineDataWithReference(snippet.draftSpec, datasetName);
// Update dataset references
snippet.datasetRefs = extractDatasetRefs(snippet.draftSpec);
// Save snippet
SnippetStorage.saveSnippet(snippet);
// Update editor with new spec
if (editor && currentViewMode === 'draft') {
window.isUpdatingEditor = true;
editor.setValue(JSON.stringify(snippet.draftSpec, null, 2));
window.isUpdatingEditor = false;
}
// Refresh UI
renderSnippetList();
restoreSnippetSelection();
updateLinkedDatasets(snippet);
updateViewModeUI(snippet);
updateExtractButton();
// Close modal
hideExtractModal();
// Show success message
alert(`Dataset "${datasetName}" created successfully!`);
} catch (error) {
errorEl.textContent = `Failed to create dataset: ${error.message}`;
}
}
// Update visibility of Extract to Dataset button
function updateExtractButton() {
const extractBtn = document.getElementById('extract-btn');
if (!extractBtn) return;
const snippet = getCurrentSnippet();
if (!snippet) {
extractBtn.style.display = 'none';
return;
}
// Check if draft spec has inline data
const hasInline = hasInlineData(snippet.draftSpec);
extractBtn.style.display = hasInline ? 'block' : 'none';
}
// Delete snippet with confirmation
function deleteSnippet(snippetId) {
const snippet = SnippetStorage.getSnippet(snippetId);
@@ -760,6 +1100,10 @@ function publishDraft() {
// Copy draftSpec to spec
snippet.spec = JSON.parse(JSON.stringify(snippet.draftSpec));
// Update dataset references for published spec
snippet.datasetRefs = extractDatasetRefs(snippet.spec);
SnippetStorage.saveSnippet(snippet);
// Refresh UI

35
src/styles.css
View File

@@ -156,6 +156,9 @@ body { font-family: var(--font-main); height: 100vh; overflow: hidden; backgroun
.snippet-name { font-size: 12px; }
.snippet-date { font-size: 11px; color: inherit; margin-top: 1px; }
.snippet-size { font-size: 10px; color: var(--win-gray-dark); margin-left: auto; margin-right: 8px; flex-shrink: 0; }
.snippet-dataset-icon { margin-left: 4px; font-size: 10px; opacity: 0.7; }
.snippet-item.selected .snippet-dataset-icon,
.snippet-item:hover .snippet-dataset-icon { opacity: 1; }
/* Placeholders */
.editor-placeholder,
@@ -184,6 +187,10 @@ body { font-family: var(--font-main); height: 100vh; overflow: hidden; backgroun
.meta-info-item:last-child { margin-bottom: 0; }
.meta-info-label { font-weight: bold; }
.meta-info-value { color: var(--win-gray-darker); }
.dataset-link { color: var(--win-blue); text-decoration: underline; cursor: pointer; }
.dataset-link:hover { color: var(--win-blue-dark); background: #e0e8f0; }
.snippet-link { color: var(--win-blue); text-decoration: underline; cursor: pointer; font-size: 10px; }
.snippet-link:hover { color: var(--win-blue-dark); background: #e0e8f0; }
/* Meta Actions */
.meta-actions { display: flex; gap: 6px; margin-top: 8px; }
@@ -206,7 +213,7 @@ body { font-family: var(--font-main); height: 100vh; overflow: hidden; backgroun
/* Modal */
.modal { position: fixed; top: 0; left: 0; width: 100vw; height: 100vh; background: rgba(0,0,0,0.5); display: flex; align-items: center; justify-content: center; z-index: 1000; }
.modal-content { background: var(--win-gray); border: 2px outset var(--win-gray); width: 90%; max-width: 900px; height: 80vh; max-height: 90vh; display: flex; flex-direction: column; box-shadow: 4px 4px 8px rgba(0,0,0,0.3); }
.modal-content { background: var(--win-gray); border: 2px outset var(--win-gray); width: 95%; max-width: 1200px; height: 85vh; max-height: 90vh; display: flex; flex-direction: column; box-shadow: 4px 4px 8px rgba(0,0,0,0.3); }
.modal-header { background: #008; color: var(--bg-white); padding: 4px 8px; display: flex; justify-content: space-between; align-items: center; height: 24px; border-bottom: 2px solid var(--win-gray-dark); }
.modal-title { font-size: 12px; font-weight: bold; }
.modal-body { flex: 1; overflow: auto; background: var(--bg-white); border: 2px inset var(--win-gray); margin: 8px; min-height: 0; }
@@ -216,13 +223,17 @@ body { font-family: var(--font-main); height: 100vh; overflow: hidden; backgroun
.dataset-list-header { padding: 8px; background: var(--win-gray-light); border-bottom: 2px solid var(--win-gray-dark); }
.dataset-container { display: flex; flex: 1; overflow: hidden; }
.dataset-list { width: 300px; overflow-y: auto; border-right: 2px solid var(--win-gray-dark); background: var(--bg-white); }
.dataset-item { padding: 8px; border-bottom: 1px solid #d0d0d0; cursor: pointer; background: var(--bg-white); }
.dataset-item { padding: 8px; border-bottom: 1px solid #d0d0d0; cursor: pointer; background: var(--bg-white); display: flex; justify-content: space-between; align-items: center; gap: 8px; }
.dataset-item:hover { background: var(--win-blue-lighter); color: var(--bg-white); }
.dataset-item.selected { background: var(--win-blue); color: var(--bg-white); }
.dataset-info { flex: 1; min-width: 0; }
.dataset-name { font-size: 12px; font-weight: bold; margin-bottom: 2px; }
.dataset-meta { font-size: 10px; color: var(--win-gray-darker); }
.dataset-item.selected .dataset-meta,
.dataset-item:hover .dataset-meta { color: inherit; opacity: 0.9; }
.dataset-usage-badge { background: var(--win-blue); color: var(--bg-white); padding: 2px 6px; font-size: 10px; font-weight: bold; border-radius: 3px; white-space: nowrap; flex-shrink: 0; }
.dataset-item.selected .dataset-usage-badge { background: var(--win-blue-dark); }
.dataset-item:hover .dataset-usage-badge { background: var(--win-blue-dark); }
.dataset-empty { padding: 32px; text-align: center; color: var(--win-gray-dark); font-style: italic; font-size: 12px; }
/* Dataset Details */
@@ -242,6 +253,26 @@ body { font-family: var(--font-main); height: 100vh; overflow: hidden; backgroun
.preview-box.medium { max-height: 150px; }
.preview-box.large { max-height: 200px; }
/* Preview Toggle */
.preview-toggle-group { display: flex; }
.btn-toggle.small { padding: 2px 6px; font-size: 9px; height: 18px; }
/* Preview Table */
.preview-table-container { background: var(--bg-light); border: 2px inset var(--win-gray); overflow: auto; max-height: 200px; }
.preview-table { width: 100%; border-collapse: collapse; font-size: 10px; font-family: 'Consolas', 'Monaco', 'Courier New', monospace; }
.preview-table th { background: var(--win-gray-light); border: 1px solid var(--win-gray-dark); padding: 4px 6px; text-align: left; font-weight: bold; position: sticky; top: 0; }
.preview-table td { border: 1px solid #d0d0d0; padding: 3px 6px; background: var(--bg-white); }
.preview-table tr:hover td { background: var(--bg-lighter); }
.preview-table-info { padding: 8px; font-size: 10px; color: var(--win-gray-darker); font-style: italic; text-align: center; }
/* Type-specific cell formatting */
.type-icon { font-size: 11px; margin-right: 3px; }
.cell-number { font-style: italic; text-align: right; color: #0066cc; }
.cell-date { font-style: italic; color: #228b22; }
.cell-boolean { font-weight: bold; text-align: center; color: #ff6600; }
.cell-text { color: #000; }
.cell-null { color: var(--win-gray-dark); font-style: italic; text-align: center; }
.dataset-actions { display: flex; gap: 8px; margin-top: 16px; }
/* Dataset Form */