infinite-agents-public/infinite_variants/infinite_variant_1/pattern_library.json

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{
"version": "1.0",
"last_updated": "2025-10-10T00:00:00Z",
"total_iterations_analyzed": 5,
"metadata": {
"extraction_date": "2025-10-10T00:00:00Z",
"source_directory": "test_output/",
"patterns_extracted": 10,
"avg_quality_score": 8.6,
"top_iterations": [
"visualization_1.html",
"visualization_3.html"
]
},
"patterns": {
"structural": [
{
"name": "Multi-Layer Class Architecture",
"description": "Clear separation of data, physics, rendering, and interaction into distinct ES6 classes",
"example_file": "test_output/visualization_1.html",
"key_characteristics": [
"Separate classes for data model, simulation/physics, rendering, and interaction",
"Each class has single responsibility with well-defined API",
"Classes communicate through constructor dependency injection",
"Modular design allows easy extension and testing"
],
"success_metrics": "Excellent code organization (9/10), easy to understand data flow, maintainable architecture",
"code_snippet": "// DATA LAYER\nconst dataset = {\n nodes: [],\n links: [],\n initialize() { /* ... */ }\n};\n\n// PHYSICS LAYER\nclass ForceSimulation {\n constructor(nodes, links) { /* ... */ }\n tick(width, height) { /* ... */ }\n}\n\n// RENDER LAYER \nclass NetworkRenderer {\n constructor(canvas) { /* ... */ }\n render(nodes, links) { /* ... */ }\n}\n\n// INTERACTION LAYER\nclass InteractionController {\n constructor(canvas, nodes, renderer) { /* ... */ }\n}"
},
{
"name": "Comprehensive Document Block Comments",
"description": "Header documentation blocks that explain architecture, approach, and features at multiple levels",
"example_file": "test_output/visualization_1.html",
"key_characteristics": [
"Top-level comment explaining overall architecture",
"Section comments (=== markers) separating major components",
"Inline comments explaining specific algorithms",
"Progressive documentation: overview → details → implementation"
],
"success_metrics": "Documentation clarity (9/10), self-documenting code structure, excellent onboarding",
"code_snippet": "/**\n * GLOBAL TEMPERATURE NETWORK VISUALIZATION\n *\n * ARCHITECTURE:\n * - Data layer: Weather station network with correlation data\n * - Physics layer: Force simulation for node positioning\n * - Render layer: Canvas-based drawing\n * - Interaction layer: Mouse events for exploration\n *\n * TECHNICAL APPROACH:\n * Using vanilla JavaScript with Canvas API for performance.\n * Force simulation with custom physics engine.\n */\n\n// =========================\n// DATA LAYER\n// ========================="
}
],
"content": [
{
"name": "Progressive Complexity Data Generation",
"description": "Data generation that creates realistic, varied datasets with procedural techniques",
"example_file": "test_output/visualization_3.html",
"key_characteristics": [
"Uses clustering algorithms with variance for realistic distribution",
"Generates data with meaningful relationships (proximity, correlation)",
"Adds realistic variance and edge cases",
"Data has educational value beyond just filling the visualization"
],
"success_metrics": "Data realism (9/10), educational value (8/10), demonstrates domain knowledge",
"code_snippet": "function generateGenreData() {\n const clusters = {\n 'Electronic': { centerX: 75, centerY: 80, color: '#ff006e', variance: 15 },\n 'Rock': { centerX: 70, centerY: 30, color: '#8338ec', variance: 12 },\n // ...\n };\n \n Object.keys(clusters).forEach(cluster => {\n const { centerX, centerY, color, variance } = clusters[cluster];\n const energy = Math.max(0, Math.min(100,\n centerX + (Math.random() - 0.5) * variance * 2));\n // Generate with realistic clustering\n });\n}"
},
{
"name": "Rich Interactive Tooltip System",
"description": "Contextual tooltips with structured information display using grid layouts",
"example_file": "test_output/visualization_3.html",
"key_characteristics": [
"Position-aware tooltip placement (offset from cursor)",
"Structured data display with semantic HTML",
"Smooth opacity transitions for show/hide",
"Grid layout for label-value pairs"
],
"success_metrics": "UX quality (9/10), information density (8/10), visual polish",
"code_snippet": ".tooltip {\n position: absolute;\n background: rgba(13, 2, 33, 0.95);\n border: 2px solid #8338ec;\n padding: 15px;\n opacity: 0;\n transition: opacity 0.2s;\n}\n\n.tooltip .stats {\n display: grid;\n grid-template-columns: auto 1fr;\n gap: 5px 10px;\n}\n\nshowTooltip(point, x, y) {\n this.tooltip.innerHTML = `\n <h3>${point.name}</h3>\n <div class=\"stats\">\n <span class=\"stat-label\">Energy:</span>\n <span class=\"stat-value\">${point.energy}</span>\n </div>\n `;\n tooltip.style.left = (x + 15) + 'px';\n tooltip.classList.add('show');\n}"
}
],
"innovation": [
{
"name": "Custom Physics Simulation",
"description": "Hand-coded force-directed physics engine with multiple force types",
"example_file": "test_output/visualization_1.html",
"key_characteristics": [
"Multiple force types: center attraction, node repulsion, link attraction",
"Configurable force parameters for tuning behavior",
"Velocity damping for stable convergence",
"Toggle-able animation with play/pause control"
],
"success_metrics": "Innovation (10/10), performance (8/10), demonstrates deep understanding of algorithms",
"code_snippet": "class ForceSimulation {\n tick(width, height) {\n this.nodes.forEach(node => {\n // Center attraction\n node.vx += (centerX - node.x) * this.centerForce;\n \n // Node repulsion (inverse square law)\n this.nodes.forEach(other => {\n const dist = Math.sqrt(dx * dx + dy * dy) || 1;\n const force = this.repulsionForce / (dist * dist);\n node.vx -= (dx / dist) * force;\n });\n });\n \n // Update with damping\n this.nodes.forEach(node => {\n node.x += node.vx;\n node.vx *= this.damping;\n });\n }\n}"
},
{
"name": "Dynamic Viewport Transform System",
"description": "Coordinate transformation system enabling zoom, pan, and world-to-screen mapping",
"example_file": "test_output/visualization_3.html",
"key_characteristics": [
"ViewBox abstraction for logical coordinate space",
"World-to-screen and screen-to-world transformations",
"Mouse wheel zoom with center-point preservation",
"Drag-based panning with smooth interaction"
],
"success_metrics": "Technical sophistication (9/10), UX quality (9/10), demonstrates graphics programming knowledge",
"code_snippet": "worldToScreen(x, y) {\n const scaleX = this.canvas.width / this.viewBox.width;\n const scaleY = this.canvas.height / this.viewBox.height;\n return {\n x: (x - this.viewBox.x) * scaleX,\n y: this.canvas.height - (y - this.viewBox.y) * scaleY\n };\n}\n\nzoom(factor) {\n const centerX = this.viewBox.x + this.viewBox.width / 2;\n const centerY = this.viewBox.y + this.viewBox.height / 2;\n this.viewBox.width *= factor;\n this.viewBox.height *= factor;\n this.viewBox.x = centerX - this.viewBox.width / 2;\n this.viewBox.y = centerY - this.viewBox.height / 2;\n}"
}
],
"quality": [
{
"name": "Responsive Canvas Sizing",
"description": "Proper canvas sizing with container-based dimensions and resize handling",
"example_file": "test_output/visualization_1.html",
"key_characteristics": [
"Canvas size matches container dimensions exactly",
"Window resize listener updates dimensions and re-renders",
"Resolution-aware rendering (uses actual pixel dimensions)",
"Prevents canvas blur from incorrect sizing"
],
"success_metrics": "Robustness (9/10), responsive design (10/10), prevents common canvas pitfalls",
"code_snippet": "resize() {\n const container = this.canvas.parentElement;\n this.canvas.width = container.clientWidth;\n this.canvas.height = container.clientHeight;\n this.render();\n}\n\nconstructor(canvas) {\n this.resize();\n window.addEventListener('resize', () => this.resize());\n}"
},
{
"name": "State-Based UI Updates",
"description": "Centralized state management with explicit update methods for UI synchronization",
"example_file": "test_output/visualization_3.html",
"key_characteristics": [
"Single source of truth for application state",
"Explicit update methods (updateStats, updateLegend, updateTooltip)",
"State changes trigger targeted DOM updates",
"Prevents UI desynchronization bugs"
],
"success_metrics": "Code quality (9/10), maintainability (9/10), prevents state bugs",
"code_snippet": "// State\nthis.selectedPoint = null;\nthis.hoveredPoint = null;\nthis.showClusters = false;\n\n// Explicit updates\nhandleClick(e) {\n this.selectedPoint = this.getPointAtMouse(e);\n this.render();\n this.updateStats(); // Synchronize UI\n}\n\nupdateStats() {\n const stats = document.getElementById('statsPanel');\n stats.innerHTML = `\n Total: ${this.data.length}<br>\n Selected: ${this.selectedPoint ? this.selectedPoint.name : 'None'}\n `;\n}"
},
{
"name": "Defensive Rendering Guards",
"description": "Conditional rendering with guards for edge cases and optional features",
"example_file": "test_output/visualization_1.html",
"key_characteristics": [
"Check conditions before expensive rendering operations",
"Early returns for null/undefined cases",
"Optional feature flags (e.g., showWeakLinks, showClusters)",
"Prevents rendering errors and improves performance"
],
"success_metrics": "Robustness (9/10), performance (8/10), prevents runtime errors",
"code_snippet": "render(nodes, links) {\n // Guard: Only render if enabled\n links.forEach(link => {\n if (!this.showWeakLinks && link.correlation < 0.5) return;\n // ... render link\n });\n \n // Guard: Only render selection glow if selected\n nodes.forEach(node => {\n const isSelected = this.selectedNode && this.selectedNode.id === node.id;\n if (isSelected) {\n // ... render glow effect\n }\n });\n}"
}
]
},
"analysis": {
"iteration_scores": [
{
"file": "visualization_1.html",
"functionality": 10,
"visual_appeal": 9,
"code_quality": 10,
"innovation": 10,
"overall": 9.75,
"notes": "Exceptional multi-layer architecture, custom physics simulation, excellent documentation"
},
{
"file": "visualization_2.html",
"functionality": 9,
"visual_appeal": 9,
"code_quality": 8,
"innovation": 7,
"overall": 8.25,
"notes": "Clean MVC pattern, smooth animations, good state management"
},
{
"file": "visualization_3.html",
"functionality": 10,
"visual_appeal": 10,
"code_quality": 9,
"innovation": 9,
"overall": 9.5,
"notes": "Advanced viewport transforms, cluster visualization, comprehensive interactivity"
},
{
"file": "visualization_4.html",
"functionality": 9,
"visual_appeal": 8,
"code_quality": 8,
"innovation": 8,
"overall": 8.25,
"notes": "SVG tree rendering, multiple layouts, good hierarchical data handling"
},
{
"file": "visualization_5.html",
"functionality": 9,
"visual_appeal": 9,
"code_quality": 8,
"innovation": 8,
"overall": 8.5,
"notes": "Particle animation system, geographic mapping, creative rendering techniques"
}
],
"pattern_extraction_rationale": "Top 20% consists of visualization_1.html (9.75/10) and visualization_3.html (9.5/10). These exemplify best practices in architecture, code quality, innovation, and visual polish. Patterns extracted represent proven approaches that future iterations should emulate.",
"diversity_analysis": "Patterns cover all four dimensions: structural (architecture, documentation), content (data generation, tooltips), innovation (physics, transforms), quality (responsive, state management, guards). No redundancy - each pattern represents a distinct best practice."
}
}