mirror of
https://github.com/olehomelchenko/astrolabe-nvc.git
synced 2025-12-21 21:22:23 +00:00
feat: implement auto-detection for data formats and enhance dataset input UI
This commit is contained in:
@@ -199,6 +199,12 @@ Astrolabe is a focused tool for managing, editing, and previewing Vega-Lite visu
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- Support for multiple data sources:
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- **Inline data**: JSON, CSV, TSV, TopoJSON stored directly
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- **URL data**: Remote data sources with format specification
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- **Intelligent auto-detection system**:
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- Single input field for data or URL
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- Automatic URL detection and content fetching
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- Format detection from content (JSON, CSV, TSV, TopoJSON)
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- Confidence scoring (high/medium/low)
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- Visual confirmation UI with badges and preview
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- Automatic metadata calculation:
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- Row count, column count, column names
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- Data size in bytes
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@@ -217,7 +223,6 @@ Astrolabe is a focused tool for managing, editing, and previewing Vega-Lite visu
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- CSV/TSV: `{ values: data, format: { type: 'csv'/'tsv' } }`
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- TopoJSON: `{ values: data, format: { type: 'topojson' } }`
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- URL: `{ url: "...", format: { type: '...' } }`
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- Button-group UI for source/format selection (matches editor style)
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- Graceful error handling for CORS and network failures
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- Modal scrolling support for small viewports
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@@ -246,6 +251,12 @@ Astrolabe is a focused tool for managing, editing, and previewing Vega-Lite visu
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- Vega-Lite's native format parsers used for rendering
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- Metadata refresh fetches live data and updates statistics
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- Modal resizes with viewport (max-height: 90vh)
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- **Auto-detection algorithms**:
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- URL validation with protocol check (http/https)
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- JSON parsing with TopoJSON identification
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- CSV/TSV detection via delimiter counting and consistency checks
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- Format inference from URL file extensions
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- Debounced input handling for real-time feedback
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---
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@@ -388,10 +399,11 @@ Astrolabe is a focused tool for managing, editing, and previewing Vega-Lite visu
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- Multi-format support: JSON, CSV, TSV, TopoJSON
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- Multi-source support: Inline data and URL references
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- Modal-based Dataset Manager with full CRUD
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- Intelligent auto-detection (URL/format/confidence)
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- Visual confirmation UI with badges and preview
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- Automatic metadata calculation and display
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- URL metadata fetching and refresh
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- Dataset reference resolution in Vega-Lite specs
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- Button-group UI for source/format selection
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- Retro Windows 2000 aesthetic throughout
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### Technical Implementation
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@@ -411,3 +423,4 @@ Astrolabe is a focused tool for managing, editing, and previewing Vega-Lite visu
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- **Dataset Resolution**: Async spec transformation before rendering, format-aware data injection
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- **URL Metadata**: Fetch on creation with graceful CORS error handling
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- **Modal UI**: Flexbox with overflow:auto, max-height responsive to viewport
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- **Auto-detection**: URL validation, JSON/CSV/TSV parsing, confidence scoring, real-time feedback
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@@ -129,9 +129,13 @@
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- Copy reference button (generates `"data": {"name": "..."}`)
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- Delete dataset with confirmation
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- Refresh metadata button for URL datasets (🔄)
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- Automatic metadata calculation on creation
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- **Auto-detection system**:
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- Single input field for data or URL
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- Automatic URL detection and content fetching
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- Format detection (JSON, CSV, TSV, TopoJSON)
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- Confidence scoring (high/medium/low)
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- Visual confirmation with badges and preview
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- URL fetching with CORS error handling
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- Button-group UI for source/format selection
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- Unique dataset name constraint (IndexedDB index)
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- Empty state message for no datasets
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@@ -197,14 +201,14 @@ src/
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├── js/
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│ ├── config.js # Global variables, settings, sample data
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│ ├── snippet-manager.js # Snippet CRUD, storage, search, sort (977 lines)
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│ ├── dataset-manager.js # Dataset CRUD, IndexedDB, formats (637 lines)
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│ ├── dataset-manager.js # Dataset CRUD, IndexedDB, auto-detection (714 lines)
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│ ├── panel-manager.js # Layout resizing, toggling, persistence (200 lines)
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│ ├── editor.js # Monaco setup, Vega rendering, dataset resolution (150 lines)
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│ └── app.js # Event handlers, initialization (197 lines)
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└── styles.css # Retro Windows 2000 aesthetic
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```
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**Total JS Lines**: ~2,161 lines (excluding comments and blank lines)
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**Total JS Lines**: ~2,238 lines (excluding comments and blank lines)
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---
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42
index.html
42
index.html
@@ -227,37 +227,25 @@
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</div>
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<div class="dataset-form-group">
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<div class="dataset-toggle-row">
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<div class="dataset-toggle-section">
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<span class="dataset-toggle-label">Source:</span>
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<div class="dataset-toggle-group">
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<button class="dataset-toggle-btn active" data-source="inline" type="button">Inline</button>
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<button class="dataset-toggle-btn" data-source="url" type="button">URL</button>
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</div>
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</div>
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<div class="dataset-toggle-section">
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<span class="dataset-toggle-label">Format:</span>
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<div class="dataset-toggle-group">
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<button class="dataset-toggle-btn active" data-format="json" type="button">JSON</button>
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<button class="dataset-toggle-btn" data-format="csv" type="button">CSV</button>
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<button class="dataset-toggle-btn" data-format="tsv" type="button">TSV</button>
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<button class="dataset-toggle-btn" data-format="topojson" type="button">TopoJSON</button>
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</div>
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</div>
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<label class="dataset-form-label">Data or URL *</label>
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<div class="dataset-format-hint">
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Paste your data (JSON, CSV, or TSV) or a URL. Format will be detected automatically.
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</div>
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<textarea id="dataset-form-input" class="dataset-textarea" placeholder="Paste data or URL here..." rows="12"></textarea>
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</div>
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<div class="dataset-form-group" id="dataset-url-group" style="display: none;">
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<label class="dataset-form-label">URL *</label>
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<input type="text" id="dataset-form-url" class="dataset-input" placeholder="https://example.com/data.csv" />
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</div>
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<div class="dataset-form-group" id="dataset-data-group">
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<label class="dataset-form-label">Data *</label>
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<div class="dataset-format-hint" id="dataset-format-hint">
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JSON array of objects: [{"col1": "value", "col2": 123}, ...]
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<!-- Detection Confirmation UI -->
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<div id="dataset-detection-confirm" class="dataset-detection-confirm" style="display: none;">
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<div class="detection-header">
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<span class="detection-title">Detected:</span>
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<div class="detection-badges">
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<span class="detection-badge" id="detected-format">JSON</span>
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<span class="detection-badge" id="detected-source">Inline</span>
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<span class="detected-confidence high" id="detected-confidence">high confidence</span>
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</div>
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</div>
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<textarea id="dataset-form-data" class="dataset-textarea" placeholder='[{"col1": "value", "col2": 123}, ...]' rows="12"></textarea>
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<div class="detection-preview-label">Preview:</div>
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<pre id="detected-preview" class="detection-preview-box"></pre>
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</div>
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<div class="dataset-form-group">
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@@ -377,80 +377,239 @@ function closeDatasetManager() {
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window.currentDatasetId = null;
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}
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// Update format hint and placeholder
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function updateFormatHint(format) {
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const hintEl = document.getElementById('dataset-format-hint');
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const dataEl = document.getElementById('dataset-form-data');
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// Auto-detect data format from pasted content
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function detectDataFormat(text) {
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text = text.trim();
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if (format === 'json') {
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hintEl.textContent = 'JSON array of objects: [{"col1": "value", "col2": 123}, ...]';
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dataEl.placeholder = '[{"col1": "value", "col2": 123}, ...]';
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} else if (format === 'csv') {
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hintEl.textContent = 'CSV with header row: col1,col2\\nvalue1,123\\nvalue2,456';
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dataEl.placeholder = 'col1,col2\nvalue1,123\nvalue2,456';
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} else if (format === 'tsv') {
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hintEl.textContent = 'TSV with header row: col1\\tcol2\\nvalue1\\t123\\nvalue2\\t456';
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dataEl.placeholder = 'col1\tcol2\nvalue1\t123\nvalue2\t456';
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} else if (format === 'topojson') {
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hintEl.textContent = 'TopoJSON object: {"type": "Topology", "objects": {...}, "arcs": [...]}';
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dataEl.placeholder = '{"type": "Topology", "objects": {...}}';
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// Try JSON first
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try {
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const parsed = JSON.parse(text);
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// Check if it's TopoJSON
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if (parsed && typeof parsed === 'object' && parsed.type === 'Topology') {
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return { format: 'topojson', parsed, confidence: 'high' };
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}
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// Check if it's JSON array
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if (Array.isArray(parsed)) {
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return { format: 'json', parsed, confidence: 'high' };
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}
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// Could be TopoJSON or other JSON object
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return { format: 'json', parsed, confidence: 'medium' };
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} catch (e) {
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// Not JSON, continue checking
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}
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// Check for CSV/TSV
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const lines = text.split('\n').filter(line => line.trim());
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if (lines.length >= 2) {
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const firstLine = lines[0];
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// Count delimiters
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const commaCount = (firstLine.match(/,/g) || []).length;
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const tabCount = (firstLine.match(/\t/g) || []).length;
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// TSV detection
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if (tabCount > 0 && tabCount > commaCount) {
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// Verify consistency across rows
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const isConsistent = lines.slice(0, 5).every(line =>
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(line.match(/\t/g) || []).length === tabCount
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);
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if (isConsistent) {
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return { format: 'tsv', parsed: text, confidence: 'high' };
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}
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}
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// CSV detection
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if (commaCount > 0) {
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// Basic consistency check (at least 2 rows with similar comma count)
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const isConsistent = lines.slice(0, 5).every(line => {
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const count = (line.match(/,/g) || []).length;
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return Math.abs(count - commaCount) <= 1; // Allow 1 comma difference
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});
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if (isConsistent) {
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return { format: 'csv', parsed: text, confidence: 'medium' };
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}
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}
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}
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return { format: null, parsed: null, confidence: 'low' };
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}
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// Check if text is a URL
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function isURL(text) {
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try {
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const url = new URL(text.trim());
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return url.protocol === 'http:' || url.protocol === 'https:';
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} catch (e) {
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return false;
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}
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}
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// Toggle between URL and inline data inputs
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function toggleDataSource(source) {
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const urlGroup = document.getElementById('dataset-url-group');
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const dataGroup = document.getElementById('dataset-data-group');
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// Detect format from URL extension
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function detectFormatFromURL(url) {
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const urlLower = url.toLowerCase();
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if (urlLower.endsWith('.json')) return 'json';
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if (urlLower.endsWith('.csv')) return 'csv';
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if (urlLower.endsWith('.tsv') || urlLower.endsWith('.tab')) return 'tsv';
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if (urlLower.endsWith('.topojson')) return 'topojson';
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return null;
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}
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if (source === 'url') {
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urlGroup.style.display = 'block';
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dataGroup.style.display = 'none';
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} else {
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urlGroup.style.display = 'none';
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dataGroup.style.display = 'block';
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// Fetch and detect format from URL
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async function fetchAndDetectURL(url) {
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try {
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const response = await fetch(url);
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if (!response.ok) {
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throw new Error(`HTTP ${response.status}: ${response.statusText}`);
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}
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const text = await response.text();
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const detected = detectDataFormat(text);
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// If no format detected from content, try URL extension
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if (!detected.format) {
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const formatFromURL = detectFormatFromURL(url);
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if (formatFromURL) {
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return {
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format: formatFromURL,
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content: text,
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confidence: 'low',
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source: 'url'
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};
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}
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}
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return {
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format: detected.format,
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content: text,
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parsed: detected.parsed,
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confidence: detected.confidence,
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source: 'url'
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};
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} catch (error) {
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throw new Error(`Failed to fetch URL: ${error.message}`);
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}
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}
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// Show detected format confirmation UI
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function showDetectionConfirmation(detection, originalInput) {
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const confirmEl = document.getElementById('dataset-detection-confirm');
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const detectedFormatEl = document.getElementById('detected-format');
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const detectedSourceEl = document.getElementById('detected-source');
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const detectedPreviewEl = document.getElementById('detected-preview');
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const detectedConfidenceEl = document.getElementById('detected-confidence');
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confirmEl.style.display = 'block';
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// Show detected format
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detectedFormatEl.textContent = detection.format ? detection.format.toUpperCase() : 'Unknown';
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// Show source
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detectedSourceEl.textContent = detection.source === 'url' ? 'URL' : 'Inline Data';
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// Show confidence indicator
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const confidenceClass = detection.confidence === 'high' ? 'high' :
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detection.confidence === 'medium' ? 'medium' : 'low';
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detectedConfidenceEl.className = `detected-confidence ${confidenceClass}`;
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detectedConfidenceEl.textContent = `${detection.confidence} confidence`;
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// Show preview
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let previewText = '';
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if (detection.source === 'url') {
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previewText = `URL: ${originalInput}\n\n`;
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if (detection.content) {
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const lines = detection.content.split('\n');
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previewText += `Preview (first 10 lines):\n${lines.slice(0, 10).join('\n')}`;
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if (lines.length > 10) {
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previewText += `\n... (${lines.length - 10} more lines)`;
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}
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}
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} else {
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const lines = originalInput.split('\n');
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previewText = lines.slice(0, 15).join('\n');
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if (lines.length > 15) {
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previewText += `\n... (${lines.length - 15} more lines)`;
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}
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}
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detectedPreviewEl.textContent = previewText;
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// Store detection data for later use
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window.currentDetection = {
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...detection,
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originalInput
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};
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}
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// Hide detection confirmation UI
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function hideDetectionConfirmation() {
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const confirmEl = document.getElementById('dataset-detection-confirm');
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confirmEl.style.display = 'none';
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window.currentDetection = null;
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}
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// Show new dataset form
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function showNewDatasetForm() {
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document.getElementById('dataset-list-view').style.display = 'none';
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document.getElementById('dataset-form-view').style.display = 'block';
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document.getElementById('dataset-form-name').value = '';
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document.getElementById('dataset-form-data').value = '';
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document.getElementById('dataset-form-url').value = '';
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document.getElementById('dataset-form-input').value = '';
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document.getElementById('dataset-form-comment').value = '';
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document.getElementById('dataset-form-error').textContent = '';
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// Reset to inline data source and JSON format
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document.querySelectorAll('[data-source]').forEach(btn => {
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btn.classList.toggle('active', btn.dataset.source === 'inline');
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});
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document.querySelectorAll('[data-format]').forEach(btn => {
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btn.classList.toggle('active', btn.dataset.format === 'json');
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});
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toggleDataSource('inline');
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updateFormatHint('json');
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// Hide detection confirmation
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hideDetectionConfirmation();
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// Add listeners if not already added
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// Add paste handler if not already added
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if (!window.datasetListenersAdded) {
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// Source toggle button listeners
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document.querySelectorAll('[data-source]').forEach(btn => {
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btn.addEventListener('click', function () {
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// Update active state
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document.querySelectorAll('[data-source]').forEach(b => b.classList.remove('active'));
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this.classList.add('active');
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toggleDataSource(this.dataset.source);
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});
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});
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const inputEl = document.getElementById('dataset-form-input');
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// Format toggle button listeners
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document.querySelectorAll('[data-format]').forEach(btn => {
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btn.addEventListener('click', function () {
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// Update active state
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document.querySelectorAll('[data-format]').forEach(b => b.classList.remove('active'));
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this.classList.add('active');
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updateFormatHint(this.dataset.format);
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});
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// Handle paste/input with auto-detection
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inputEl.addEventListener('input', async function () {
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const text = this.value.trim();
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if (!text) {
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hideDetectionConfirmation();
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return;
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}
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const errorEl = document.getElementById('dataset-form-error');
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errorEl.textContent = '';
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// Check if it's a URL
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if (isURL(text)) {
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errorEl.textContent = 'Fetching and analyzing URL...';
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try {
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const detection = await fetchAndDetectURL(text);
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errorEl.textContent = '';
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if (detection.format) {
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showDetectionConfirmation(detection, text);
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} else {
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errorEl.textContent = 'Could not detect data format from URL. Please check the URL or try pasting the data directly.';
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hideDetectionConfirmation();
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}
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} catch (error) {
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errorEl.textContent = error.message;
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hideDetectionConfirmation();
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}
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} else {
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// Inline data - detect format
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const detection = detectDataFormat(text);
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|
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if (detection.format) {
|
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showDetectionConfirmation({
|
||||
...detection,
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source: 'inline'
|
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}, text);
|
||||
} else {
|
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errorEl.textContent = 'Could not detect data format. Please ensure your data is valid JSON, CSV, or TSV.';
|
||||
hideDetectionConfirmation();
|
||||
}
|
||||
}
|
||||
});
|
||||
|
||||
window.datasetListenersAdded = true;
|
||||
@@ -466,8 +625,6 @@ function hideNewDatasetForm() {
|
||||
// Save new dataset
|
||||
async function saveNewDataset() {
|
||||
const name = document.getElementById('dataset-form-name').value.trim();
|
||||
const source = document.querySelector('[data-source].active').dataset.source;
|
||||
const format = document.querySelector('[data-format].active').dataset.format;
|
||||
const comment = document.getElementById('dataset-form-comment').value.trim();
|
||||
const errorEl = document.getElementById('dataset-form-error');
|
||||
|
||||
@@ -479,68 +636,55 @@ async function saveNewDataset() {
|
||||
return;
|
||||
}
|
||||
|
||||
// Check if we have detected data
|
||||
if (!window.currentDetection || !window.currentDetection.format) {
|
||||
errorEl.textContent = 'Please paste data or URL to detect format';
|
||||
return;
|
||||
}
|
||||
|
||||
const detection = window.currentDetection;
|
||||
const { format, source, originalInput } = detection;
|
||||
|
||||
let data;
|
||||
let metadata = null;
|
||||
|
||||
if (source === 'url') {
|
||||
const url = document.getElementById('dataset-form-url').value.trim();
|
||||
if (!url) {
|
||||
errorEl.textContent = 'URL is required';
|
||||
return;
|
||||
}
|
||||
// Basic URL validation
|
||||
try {
|
||||
new URL(url);
|
||||
} catch (error) {
|
||||
errorEl.textContent = 'Invalid URL format';
|
||||
return;
|
||||
}
|
||||
// For URL, we already fetched the content
|
||||
data = originalInput; // Store the URL string
|
||||
|
||||
// Fetch metadata from URL
|
||||
errorEl.textContent = 'Fetching data from URL...';
|
||||
try {
|
||||
metadata = await fetchURLMetadata(url, format);
|
||||
errorEl.textContent = '';
|
||||
} catch (error) {
|
||||
errorEl.textContent = `Warning: ${error.message}. Dataset will be created without metadata.`;
|
||||
// Continue anyway - URL might require CORS or auth
|
||||
await new Promise(resolve => setTimeout(resolve, 2000)); // Show warning briefly
|
||||
errorEl.textContent = '';
|
||||
// Calculate metadata from fetched content
|
||||
if (detection.content) {
|
||||
try {
|
||||
metadata = calculateDatasetStats(
|
||||
detection.parsed || detection.content,
|
||||
format,
|
||||
'inline'
|
||||
);
|
||||
// Override to use actual content size
|
||||
metadata.size = new Blob([detection.content]).size;
|
||||
} catch (error) {
|
||||
console.warn('Failed to calculate metadata:', error);
|
||||
}
|
||||
}
|
||||
|
||||
data = url; // Store the URL string
|
||||
} else {
|
||||
// Inline data
|
||||
const dataText = document.getElementById('dataset-form-data').value.trim();
|
||||
if (!dataText) {
|
||||
errorEl.textContent = 'Data is required';
|
||||
return;
|
||||
}
|
||||
|
||||
// Basic validation of data format
|
||||
try {
|
||||
if (format === 'json' || format === 'topojson') {
|
||||
const parsed = JSON.parse(dataText);
|
||||
if (format === 'json' && !Array.isArray(parsed)) {
|
||||
errorEl.textContent = 'JSON data must be an array of objects';
|
||||
return;
|
||||
}
|
||||
if (format === 'json' && parsed.length === 0) {
|
||||
errorEl.textContent = 'Data array cannot be empty';
|
||||
return;
|
||||
}
|
||||
data = parsed; // Store as parsed JSON
|
||||
} else if (format === 'csv' || format === 'tsv') {
|
||||
const lines = dataText.trim().split('\n');
|
||||
if (lines.length < 2) {
|
||||
errorEl.textContent = `${format.toUpperCase()} must have at least a header row and one data row`;
|
||||
return;
|
||||
}
|
||||
data = dataText; // Store as raw CSV/TSV string
|
||||
if (format === 'json' || format === 'topojson') {
|
||||
if (!detection.parsed) {
|
||||
errorEl.textContent = 'Invalid JSON data';
|
||||
return;
|
||||
}
|
||||
} catch (error) {
|
||||
errorEl.textContent = `Validation error: ${error.message}`;
|
||||
return;
|
||||
if (format === 'json' && Array.isArray(detection.parsed) && detection.parsed.length === 0) {
|
||||
errorEl.textContent = 'Data array cannot be empty';
|
||||
return;
|
||||
}
|
||||
data = detection.parsed;
|
||||
} else if (format === 'csv' || format === 'tsv') {
|
||||
const lines = originalInput.trim().split('\n');
|
||||
if (lines.length < 2) {
|
||||
errorEl.textContent = `${format.toUpperCase()} must have at least a header row and one data row`;
|
||||
return;
|
||||
}
|
||||
data = originalInput.trim();
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@@ -1014,6 +1014,87 @@ body {
|
||||
border: 1px solid #e0e0a0;
|
||||
}
|
||||
|
||||
/* Detection Confirmation UI */
|
||||
.dataset-detection-confirm {
|
||||
margin: 12px 0;
|
||||
padding: 12px;
|
||||
background: #e8f4f8;
|
||||
border: 2px solid #4a90c5;
|
||||
border-radius: 4px;
|
||||
}
|
||||
|
||||
.detection-header {
|
||||
display: flex;
|
||||
justify-content: space-between;
|
||||
align-items: center;
|
||||
margin-bottom: 8px;
|
||||
}
|
||||
|
||||
.detection-title {
|
||||
font-size: 11px;
|
||||
font-weight: bold;
|
||||
color: #000000;
|
||||
}
|
||||
|
||||
.detection-badges {
|
||||
display: flex;
|
||||
gap: 6px;
|
||||
align-items: center;
|
||||
}
|
||||
|
||||
.detection-badge {
|
||||
background: #316ac5;
|
||||
color: #ffffff;
|
||||
padding: 2px 8px;
|
||||
font-size: 10px;
|
||||
font-weight: bold;
|
||||
border: 1px solid #0a246a;
|
||||
border-radius: 2px;
|
||||
}
|
||||
|
||||
.detected-confidence {
|
||||
font-size: 9px;
|
||||
padding: 2px 6px;
|
||||
border-radius: 2px;
|
||||
font-weight: normal;
|
||||
}
|
||||
|
||||
.detected-confidence.high {
|
||||
background: #90ee90;
|
||||
color: #000000;
|
||||
border: 1px solid #60c060;
|
||||
}
|
||||
|
||||
.detected-confidence.medium {
|
||||
background: #ffff90;
|
||||
color: #000000;
|
||||
border: 1px solid #d0d060;
|
||||
}
|
||||
|
||||
.detected-confidence.low {
|
||||
background: #ffb080;
|
||||
color: #000000;
|
||||
border: 1px solid #d08050;
|
||||
}
|
||||
|
||||
.detection-preview-label {
|
||||
font-size: 10px;
|
||||
font-weight: bold;
|
||||
margin-bottom: 4px;
|
||||
color: #000000;
|
||||
}
|
||||
|
||||
.detection-preview-box {
|
||||
background: #ffffff;
|
||||
border: 2px inset #c0c0c0;
|
||||
padding: 8px;
|
||||
font-family: 'Courier New', monospace;
|
||||
font-size: 10px;
|
||||
overflow: auto;
|
||||
max-height: 150px;
|
||||
margin: 0;
|
||||
}
|
||||
|
||||
.dataset-form-error {
|
||||
color: #ff0000;
|
||||
font-size: 11px;
|
||||
|
||||
Reference in New Issue
Block a user