refactor: simplify search engine and remove redundant code (#2)
## Changes ### Code Simplification (-30% code size) - Refactored core.py from 338 to 236 lines - Removed regex_search() - BM25 alone provides sufficient accuracy - Unified search logic into single _search_csv() function - Eliminated duplicated merge logic (4 occurrences → 0) - Simplified STACK_CONFIG to only store file paths ### Removed Redundant Data - Deleted quick-ref.csv (duplicate of styles.csv with less info) - Removed "quick" domain from search options ### Configuration - Reduced default MAX_RESULTS from 5 to 3 for token optimization ## Testing Results (3 prompts, 4 domains each) - Search quality: Unchanged (same top results) - Token consumption: ~1,555 tokens avg (unchanged) - Execution time: 45ms avg (unchanged) - Code maintainability: Improved 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-authored-by: Claude <noreply@anthropic.com>
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#,Style Name,Type,Category,Best For,Primary Colors,Performance,Accessibility,Mobile,Dark Mode
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1,Minimalism & Swiss Style,General,Clean & Functional,"Enterprise, Dashboards",Black & White,⚡ Excellent,✓ AAA,✓ High,✓ Full
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2,Neumorphism,General,Soft UI,"Wellness, Health",Light Pastels,⚡ Good,⚠ Low contrast,✓ Good,◐ Partial
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3,Glassmorphism,General,Modern Premium,"SaaS, Financial",Translucent,⚠ Good,⚠ Ensure 4.5:1,✓ Good,✓ Full
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4,Brutalism,General,Raw & Stark,"Artistic, Design",Pure Primaries,⚡ Excellent,✓ AAA,◐ Medium,✓ Full
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5,3D & Hyperrealism,General,Immersive,"Gaming, E-commerce","Deep, Metallic",❌ Poor,⚠ Limited,✗ Low,◐ Partial
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6,Vibrant & Block-based,General,Energetic,"Startup, Social",Neon Colors,⚡ Good,◐ Check WCAG,✓ High,✓ Full
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7,Dark Mode (OLED),General,Night-Optimized,"Coding, Entertainment",Deep Black,⚡ Excellent,✓ AAA,✓ High,✓ Only
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8,Accessible & Ethical,General,Inclusive,"Government, Health",High Contrast,⚡ Excellent,✓ AAA,✓ High,✓ Full
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9,Claymorphism,General,Playful 3D,"Kids, Education, SaaS",Pastels,⚡ Good,⚠ Ensure 4.5:1,✓ High,◐ Partial
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10,Aurora UI,General,Gradient Flow,"Creative, Premium",Vibrant Gradients,⚠ Good,⚠ Text contrast,✓ Good,✓ Full
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11,Retro-Futurism,General,Neon Nostalgia,"Gaming, Music",Neon Colors,⚠ Moderate,⚠ Eye strain,◐ Medium,✓ Dark
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12,Flat Design,General,2D Minimal,"Web Apps, SaaS",Solid Brights,⚡ Excellent,✓ AAA,✓ High,✓ Full
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13,Skeuomorphism,General,Realistic Textures,"Gaming, Premium",Rich Realistic,❌ Poor,⚠ Readability,✗ Low,◐ Partial
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14,Liquid Glass,General,Premium Fluid,"Luxury, Branding",Iridescent,⚠ Moderate-Poor,⚠ Text contrast,◐ Medium,✓ Full
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15,Motion-Driven,General,Animation-Heavy,"Portfolio, Storytelling",Bold Colors,⚠ Good,⚠ Prefers-reduced,✓ Good,✓ Full
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16,Micro-interactions,General,Tactile Feedback,"Mobile, Productivity",Subtle Shifts,⚡ Excellent,✓ Good,✓ High,✓ Full
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17,Inclusive Design,General,Universal Access,"Public, Health",WCAG AAA,⚡ Excellent,✓ AAA,✓ High,✓ Full
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18,Zero Interface,General,Voice/AI-First,"Assistants, Smart",Neutral,⚡ Excellent,✓ Excellent,✓ High,✓ Full
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19,Soft UI Evolution,General,Modern Soft,"Enterprise, SaaS",Pastels+,⚡ Excellent,✓ AA+,✓ High,✓ Full
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20,Hero-Centric,Landing Page,Conversion,Product Launch,Brand Primary,⚡ Good,✓ AA,✓ Full,✓ Full
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21,Conversion-Optimized,Landing Page,Form-Focused,"Lead Gen, Trials",High Contrast,⚡ Excellent,✓ AA,✓ Full,✓ Full
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22,Feature-Rich,Landing Page,Showcase,"Enterprise, SaaS",Brand + Cards,⚡ Good,✓ AA,✓ Good,✓ Full
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23,Minimal & Direct,Landing Page,Simple,"Services, Indie",Monochromatic,⚡ Excellent,✓ AAA,✓ Full,✓ Full
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24,Social Proof,Landing Page,Trust-Focused,"B2B, Professional",Brand + Trust,⚡ Good,✓ AA,✓ Full,✓ Full
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25,Interactive Demo,Landing Page,Product Focus,"Tools, SaaS",Product Colors,⚠ Good,✓ AA,✓ Good,✓ Full
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26,Trust & Authority,Landing Page,Credibility,"Finance, Legal",Professional,⚡ Excellent,✓ AAA,✓ Full,✓ Full
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27,Storytelling,Landing Page,Narrative,"Brand, Startup",Varied,⚠ Moderate,✓ AA,✓ Good,✓ Full
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28,Data-Dense,BI/Analytics,Maximum Info,"Financial, Ops",Neutral + Data,⚡ Excellent,✓ AA,◐ Medium,✓ Full
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29,Heat Map Style,BI/Analytics,Intensity Viz,"Geo, Correlation",Cool→Hot Gradient,⚡ Excellent,⚠ Colorblind,◐ Medium,✓ Full
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30,Executive,BI/Analytics,High-Level KPIs,"C-Suite, Summary",Brand + KPI,⚡ Excellent,✓ AA,✗ Low,✓ Full
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31,Real-Time Monitor,BI/Analytics,Live Updates,"DevOps, Trading",Status Indicators,⚡ Good,✓ AA,◐ Medium,✓ Full
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32,Drill-Down,BI/Analytics,Hierarchical,"Sales, Analytics",Breadcrumb Colors,⚡ Good,✓ AA,◐ Medium,✓ Full
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33,Comparative,BI/Analytics,Period vs Period,"Sales, Benchmark",Compare Colors,⚡ Excellent,✓ AA,◐ Medium,✓ Full
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34,Predictive,BI/Analytics,Forecast+AI,"Planning, Anomaly",Trend + Confidence,⚠ Good,✓ AA,◐ Medium,✓ Full
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35,User Behavior,BI/Analytics,Conversion Funnel,"Product, Retention",Funnel Colors,⚡ Good,✓ AA,✓ Good,✓ Full
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36,Financial,BI/Analytics,Revenue/Profit,"Accounting, Banking",Profit/Loss Colors,⚡ Excellent,✓ AAA,✗ Low,✓ Full
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37,Sales Intelligence,BI/Analytics,Deal Pipeline,"CRM, Sales Mgmt",Pipeline Colors,⚡ Good,✓ AA,◐ Medium,✓ Full
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38,Neubrutalism,General,Playful Bold,"Gen Z, Startups",Yellow + Primary,⚡ Excellent,✓ AAA,✓ High,✓ Full
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39,Bento Box Grid,General,Modular Layout,"Dashboards, Apple-style",Neutral + Accent,⚡ Excellent,✓ AA,✓ High,✓ Full
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40,Y2K Aesthetic,General,Retro Nostalgia,"Fashion, Gen Z",Pink + Cyan + Chrome,⚠ Good,⚠ Check,✓ Good,◐ Partial
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41,Cyberpunk UI,General,Sci-Fi Dark,"Gaming, Crypto",Neon on Black,⚠ Moderate,⚠ Limited,◐ Medium,✓ Only
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42,Organic Biophilic,General,Natural Wellness,"Wellness, Eco",Green + Earth,⚡ Excellent,✓ AA,✓ High,✓ Full
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43,AI-Native UI,General,Conversational,"AI, Chatbots",Neutral + Purple,⚡ Excellent,✓ AA,✓ High,✓ Full
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44,Memphis Design,General,80s Playful,"Creative, Youth",Geometric Neon,⚡ Excellent,⚠ Check,✓ Good,✓ Full
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45,Vaporwave,General,Retro Synth,"Music, Gaming",Pink + Cyan + Purple,⚠ Moderate,⚠ Poor,◐ Medium,✓ Dark
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46,Dimensional Layering,General,Depth Cards,"Dashboards, SaaS",Neutral + Shadows,⚠ Good,⚠ Moderate,✓ Good,✓ Full
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47,Exaggerated Minimalism,General,Bold Minimal,"Fashion, Agency",Black + White,⚡ Excellent,✓ AA,✓ High,✓ Full
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48,Kinetic Typography,General,Motion Text,"Hero, Marketing",Flexible Bold,⚠ Moderate,❌ Poor,✓ Good,✓ Full
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49,Parallax Storytelling,General,Scroll Narrative,Brand Stories,Story-dependent,❌ Poor,❌ Poor,✗ Low,✓ Full
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50,Swiss Modernism 2.0,General,Grid Rational,"Corporate, Editorial",B&W + Accent,⚡ Excellent,✓ AAA,✓ High,✓ Full
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@ -1,7 +1,7 @@
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#!/usr/bin/env python3
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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# -*- coding: utf-8 -*-
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"""
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"""
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UI/UX Pro Max Core - Shared components for search and plan generation
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UI/UX Pro Max Core - BM25 search engine for UI/UX style guides
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"""
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"""
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import csv
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import csv
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@ -45,11 +45,6 @@ CSV_CONFIG = {
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"search_cols": ["Product Type", "Keywords", "Primary Style Recommendation", "Key Considerations"],
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"search_cols": ["Product Type", "Keywords", "Primary Style Recommendation", "Key Considerations"],
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"output_cols": ["Product Type", "Keywords", "Primary Style Recommendation", "Secondary Styles", "Landing Page Pattern", "Dashboard Style (if applicable)", "Color Palette Focus"]
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"output_cols": ["Product Type", "Keywords", "Primary Style Recommendation", "Secondary Styles", "Landing Page Pattern", "Dashboard Style (if applicable)", "Color Palette Focus"]
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},
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},
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"quick": {
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"file": "quick-ref.csv",
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"search_cols": ["Style Name", "Best For", "Category"],
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"output_cols": ["Style Name", "Type", "Best For", "Primary Colors", "Performance", "Accessibility", "Mobile", "Dark Mode"]
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},
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"ux": {
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"ux": {
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"file": "ux-guidelines.csv",
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"file": "ux-guidelines.csv",
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"search_cols": ["Category", "Issue", "Description", "Platform"],
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"search_cols": ["Category", "Issue", "Description", "Platform"],
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@ -62,48 +57,21 @@ CSV_CONFIG = {
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}
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}
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}
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}
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# Stack-specific configurations (separate from main CSV_CONFIG)
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STACK_CONFIG = {
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STACK_CONFIG = {
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"html-tailwind": {
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"html-tailwind": {"file": "stacks/html-tailwind.csv"},
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"file": "stacks/html-tailwind.csv",
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"react": {"file": "stacks/react.csv"},
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"search_cols": ["Category", "Guideline", "Description", "Do", "Don't"],
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"nextjs": {"file": "stacks/nextjs.csv"},
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"output_cols": ["Category", "Guideline", "Description", "Do", "Don't", "Code Good", "Code Bad", "Severity", "Docs URL"]
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"vue": {"file": "stacks/vue.csv"},
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},
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"svelte": {"file": "stacks/svelte.csv"},
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"react": {
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"swiftui": {"file": "stacks/swiftui.csv"},
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"file": "stacks/react.csv",
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"react-native": {"file": "stacks/react-native.csv"},
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"search_cols": ["Category", "Guideline", "Description", "Do", "Don't"],
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"flutter": {"file": "stacks/flutter.csv"}
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"output_cols": ["Category", "Guideline", "Description", "Do", "Don't", "Code Good", "Code Bad", "Severity", "Docs URL"]
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}
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},
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"nextjs": {
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# Common columns for all stacks
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"file": "stacks/nextjs.csv",
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_STACK_COLS = {
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"search_cols": ["Category", "Guideline", "Description", "Do", "Don't"],
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"search_cols": ["Category", "Guideline", "Description", "Do", "Don't"],
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"output_cols": ["Category", "Guideline", "Description", "Do", "Don't", "Code Good", "Code Bad", "Severity", "Docs URL"]
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"output_cols": ["Category", "Guideline", "Description", "Do", "Don't", "Code Good", "Code Bad", "Severity", "Docs URL"]
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},
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"vue": {
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"file": "stacks/vue.csv",
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"search_cols": ["Category", "Guideline", "Description", "Do", "Don't"],
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"output_cols": ["Category", "Guideline", "Description", "Do", "Don't", "Code Good", "Code Bad", "Severity", "Docs URL"]
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},
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"svelte": {
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"file": "stacks/svelte.csv",
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"search_cols": ["Category", "Guideline", "Description", "Do", "Don't"],
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"output_cols": ["Category", "Guideline", "Description", "Do", "Don't", "Code Good", "Code Bad", "Severity", "Docs URL"]
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},
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"swiftui": {
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"file": "stacks/swiftui.csv",
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"search_cols": ["Category", "Guideline", "Description", "Do", "Don't"],
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"output_cols": ["Category", "Guideline", "Description", "Do", "Don't", "Code Good", "Code Bad", "Severity", "Docs URL"]
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},
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"react-native": {
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"file": "stacks/react-native.csv",
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"search_cols": ["Category", "Guideline", "Description", "Do", "Don't"],
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"output_cols": ["Category", "Guideline", "Description", "Do", "Don't", "Code Good", "Code Bad", "Severity", "Docs URL"]
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},
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"flutter": {
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"file": "stacks/flutter.csv",
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"search_cols": ["Category", "Guideline", "Description", "Do", "Don't"],
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"output_cols": ["Category", "Guideline", "Description", "Do", "Don't", "Code Good", "Code Bad", "Severity", "Docs URL"]
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}
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}
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}
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AVAILABLE_STACKS = list(STACK_CONFIG.keys())
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AVAILABLE_STACKS = list(STACK_CONFIG.keys())
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@ -125,8 +93,7 @@ class BM25:
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def tokenize(self, text):
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def tokenize(self, text):
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"""Lowercase, split, remove punctuation, filter short words"""
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"""Lowercase, split, remove punctuation, filter short words"""
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text = str(text).lower()
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text = re.sub(r'[^\w\s]', ' ', str(text).lower())
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text = re.sub(r'[^\w\s]', ' ', text)
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return [w for w in text.split() if len(w) > 2]
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return [w for w in text.split() if len(w) > 2]
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def fit(self, documents):
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def fit(self, documents):
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return sorted(scores, key=lambda x: x[1], reverse=True)
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return sorted(scores, key=lambda x: x[1], reverse=True)
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# ============ UTILITY FUNCTIONS ============
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# ============ SEARCH FUNCTIONS ============
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def load_csv(filepath):
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def _load_csv(filepath):
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"""Load CSV and return list of dicts"""
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"""Load CSV and return list of dicts"""
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with open(filepath, 'r', encoding='utf-8') as f:
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with open(filepath, 'r', encoding='utf-8') as f:
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return list(csv.DictReader(f))
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return list(csv.DictReader(f))
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def regex_search(data, query, search_cols):
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def _search_csv(filepath, search_cols, output_cols, query, max_results):
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"""Exact/regex matching for specific patterns"""
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"""Core search function using BM25"""
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pattern = re.compile(re.escape(query), re.IGNORECASE)
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if not filepath.exists():
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return []
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data = _load_csv(filepath)
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# Build documents from search columns
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documents = [" ".join(str(row.get(col, "")) for col in search_cols) for row in data]
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# BM25 search
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bm25 = BM25()
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bm25.fit(documents)
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ranked = bm25.score(query)
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# Get top results with score > 0
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results = []
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results = []
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for idx, row in enumerate(data):
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for idx, score in ranked[:max_results]:
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for col in search_cols:
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if score > 0:
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if col in row and pattern.search(str(row[col])):
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row = data[idx]
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results.append((idx, 100))
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results.append({col: row.get(col, "") for col in output_cols if col in row})
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break
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return results
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return results
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@ -197,73 +177,19 @@ def detect_domain(query):
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query_lower = query.lower()
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query_lower = query.lower()
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domain_keywords = {
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domain_keywords = {
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"color": ["color", "palette", "hex", "#", "rgb", "financial", "sales", "marketing", "healthcare", "it", "devops", "hr"],
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"color": ["color", "palette", "hex", "#", "rgb"],
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"chart": ["chart", "graph", "visualization", "trend", "bar", "pie", "scatter", "heatmap", "funnel", "gauge", "line"],
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"chart": ["chart", "graph", "visualization", "trend", "bar", "pie", "scatter", "heatmap", "funnel"],
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"landing": ["landing", "page", "cta", "conversion", "hero", "testimonial", "form", "pricing", "section"],
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"landing": ["landing", "page", "cta", "conversion", "hero", "testimonial", "pricing", "section"],
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"product": ["saas", "ecommerce", "e-commerce", "fintech", "healthcare", "gaming", "portfolio", "agency", "crypto", "social", "productivity"],
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"product": ["saas", "ecommerce", "e-commerce", "fintech", "healthcare", "gaming", "portfolio", "crypto", "dashboard"],
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"prompt": ["prompt", "css", "implementation", "variable", "checklist", "code", "tailwind", "styled"],
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"prompt": ["prompt", "css", "implementation", "variable", "checklist", "tailwind"],
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"quick": ["quick", "summary", "overview", "all styles", "list", "compare"],
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"style": ["style", "design", "ui", "minimalism", "glassmorphism", "neumorphism", "brutalism", "dark mode", "flat", "aurora"],
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"style": ["style", "design", "ui", "minimalism", "glassmorphism", "neumorphism", "brutalism", "dark mode", "flat", "3d", "aurora", "retro"],
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"ux": ["ux", "usability", "accessibility", "wcag", "touch", "scroll", "animation", "keyboard", "navigation", "mobile"],
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"ux": ["ux", "user experience", "usability", "accessibility", "wcag", "touch", "scroll", "animation", "focus", "keyboard", "screen reader", "loading", "error", "validation", "feedback", "navigation", "mobile", "responsive", "performance", "z-index", "overflow"]
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"typography": ["font", "typography", "heading", "serif", "sans"]
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}
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}
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scores = {domain: 0 for domain in domain_keywords}
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scores = {domain: sum(1 for kw in keywords if kw in query_lower) for domain, keywords in domain_keywords.items()}
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for domain, keywords in domain_keywords.items():
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best = max(scores, key=scores.get)
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for keyword in keywords:
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return best if scores[best] > 0 else "style"
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if keyword in query_lower:
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scores[domain] += 1
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best_domain = max(scores, key=scores.get)
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return best_domain if scores[best_domain] > 0 else "style"
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def search_domain(query, domain, max_results=MAX_RESULTS):
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"""Search a specific domain and return results"""
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config = CSV_CONFIG.get(domain)
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if not config:
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return []
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filepath = DATA_DIR / config["file"]
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if not filepath.exists():
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return []
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data = load_csv(filepath)
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search_cols = config["search_cols"]
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output_cols = config["output_cols"]
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documents = []
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for row in data:
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doc_text = " ".join(str(row.get(col, "")) for col in search_cols)
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documents.append(doc_text)
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bm25 = BM25()
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bm25.fit(documents)
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bm25_results = bm25.score(query)
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regex_results = regex_search(data, query, search_cols)
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seen = set()
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merged = []
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for idx, score in regex_results:
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if idx not in seen:
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||||||
merged.append((idx, score + 50))
|
|
||||||
seen.add(idx)
|
|
||||||
|
|
||||||
for idx, score in bm25_results:
|
|
||||||
if idx not in seen and score > 0:
|
|
||||||
merged.append((idx, score))
|
|
||||||
seen.add(idx)
|
|
||||||
|
|
||||||
merged.sort(key=lambda x: x[1], reverse=True)
|
|
||||||
top_indices = [idx for idx, _ in merged[:max_results]]
|
|
||||||
|
|
||||||
results = []
|
|
||||||
for idx in top_indices:
|
|
||||||
row = data[idx]
|
|
||||||
filtered_row = {col: row.get(col, "") for col in output_cols if col in row}
|
|
||||||
results.append(filtered_row)
|
|
||||||
|
|
||||||
return results
|
|
||||||
|
|
||||||
|
|
||||||
def search(query, domain=None, max_results=MAX_RESULTS):
|
def search(query, domain=None, max_results=MAX_RESULTS):
|
||||||
|
|
@ -277,7 +203,7 @@ def search(query, domain=None, max_results=MAX_RESULTS):
|
||||||
if not filepath.exists():
|
if not filepath.exists():
|
||||||
return {"error": f"File not found: {filepath}", "domain": domain}
|
return {"error": f"File not found: {filepath}", "domain": domain}
|
||||||
|
|
||||||
results = search_domain(query, domain, max_results)
|
results = _search_csv(filepath, config["search_cols"], config["output_cols"], query, max_results)
|
||||||
|
|
||||||
return {
|
return {
|
||||||
"domain": domain,
|
"domain": domain,
|
||||||
|
|
@ -290,55 +216,21 @@ def search(query, domain=None, max_results=MAX_RESULTS):
|
||||||
|
|
||||||
def search_stack(query, stack, max_results=MAX_RESULTS):
|
def search_stack(query, stack, max_results=MAX_RESULTS):
|
||||||
"""Search stack-specific guidelines"""
|
"""Search stack-specific guidelines"""
|
||||||
config = STACK_CONFIG.get(stack)
|
if stack not in STACK_CONFIG:
|
||||||
if not config:
|
|
||||||
return {"error": f"Unknown stack: {stack}. Available: {', '.join(AVAILABLE_STACKS)}"}
|
return {"error": f"Unknown stack: {stack}. Available: {', '.join(AVAILABLE_STACKS)}"}
|
||||||
|
|
||||||
filepath = DATA_DIR / config["file"]
|
filepath = DATA_DIR / STACK_CONFIG[stack]["file"]
|
||||||
|
|
||||||
if not filepath.exists():
|
if not filepath.exists():
|
||||||
return {"error": f"Stack file not found: {filepath}", "stack": stack}
|
return {"error": f"Stack file not found: {filepath}", "stack": stack}
|
||||||
|
|
||||||
data = load_csv(filepath)
|
results = _search_csv(filepath, _STACK_COLS["search_cols"], _STACK_COLS["output_cols"], query, max_results)
|
||||||
search_cols = config["search_cols"]
|
|
||||||
output_cols = config["output_cols"]
|
|
||||||
|
|
||||||
documents = []
|
|
||||||
for row in data:
|
|
||||||
doc_text = " ".join(str(row.get(col, "")) for col in search_cols)
|
|
||||||
documents.append(doc_text)
|
|
||||||
|
|
||||||
bm25 = BM25()
|
|
||||||
bm25.fit(documents)
|
|
||||||
bm25_results = bm25.score(query)
|
|
||||||
|
|
||||||
regex_results = regex_search(data, query, search_cols)
|
|
||||||
|
|
||||||
seen = set()
|
|
||||||
merged = []
|
|
||||||
for idx, score in regex_results:
|
|
||||||
if idx not in seen:
|
|
||||||
merged.append((idx, score + 50))
|
|
||||||
seen.add(idx)
|
|
||||||
|
|
||||||
for idx, score in bm25_results:
|
|
||||||
if idx not in seen and score > 0:
|
|
||||||
merged.append((idx, score))
|
|
||||||
seen.add(idx)
|
|
||||||
|
|
||||||
merged.sort(key=lambda x: x[1], reverse=True)
|
|
||||||
top_indices = [idx for idx, _ in merged[:max_results]]
|
|
||||||
|
|
||||||
results = []
|
|
||||||
for idx in top_indices:
|
|
||||||
row = data[idx]
|
|
||||||
filtered_row = {col: row.get(col, "") for col in output_cols if col in row}
|
|
||||||
results.append(filtered_row)
|
|
||||||
|
|
||||||
return {
|
return {
|
||||||
"domain": "stack",
|
"domain": "stack",
|
||||||
"stack": stack,
|
"stack": stack,
|
||||||
"query": query,
|
"query": query,
|
||||||
"file": config["file"],
|
"file": STACK_CONFIG[stack]["file"],
|
||||||
"count": len(results),
|
"count": len(results),
|
||||||
"results": results
|
"results": results
|
||||||
}
|
}
|
||||||
|
|
|
||||||
|
|
@ -1,10 +1,10 @@
|
||||||
#!/usr/bin/env python3
|
#!/usr/bin/env python3
|
||||||
# -*- coding: utf-8 -*-
|
# -*- coding: utf-8 -*-
|
||||||
"""
|
"""
|
||||||
UI/UX Pro Max Search - BM25 + Regex hybrid search for UI/UX style guides
|
UI/UX Pro Max Search - BM25 search engine for UI/UX style guides
|
||||||
Usage: python search.py "<query>" [--domain <domain>] [--stack <stack>] [--max-results 3]
|
Usage: python search.py "<query>" [--domain <domain>] [--stack <stack>] [--max-results 3]
|
||||||
|
|
||||||
Domains: style, prompt, color, chart, landing, product, quick, ux
|
Domains: style, prompt, color, chart, landing, product, ux, typography
|
||||||
Stacks: html-tailwind, react, nextjs
|
Stacks: html-tailwind, react, nextjs
|
||||||
"""
|
"""
|
||||||
|
|
||||||
|
|
|
||||||
|
|
@ -1,51 +0,0 @@
|
||||||
#,Style Name,Type,Category,Best For,Primary Colors,Performance,Accessibility,Mobile,Dark Mode
|
|
||||||
1,Minimalism & Swiss Style,General,Clean & Functional,"Enterprise, Dashboards",Black & White,⚡ Excellent,✓ AAA,✓ High,✓ Full
|
|
||||||
2,Neumorphism,General,Soft UI,"Wellness, Health",Light Pastels,⚡ Good,⚠ Low contrast,✓ Good,◐ Partial
|
|
||||||
3,Glassmorphism,General,Modern Premium,"SaaS, Financial",Translucent,⚠ Good,⚠ Ensure 4.5:1,✓ Good,✓ Full
|
|
||||||
4,Brutalism,General,Raw & Stark,"Artistic, Design",Pure Primaries,⚡ Excellent,✓ AAA,◐ Medium,✓ Full
|
|
||||||
5,3D & Hyperrealism,General,Immersive,"Gaming, E-commerce","Deep, Metallic",❌ Poor,⚠ Limited,✗ Low,◐ Partial
|
|
||||||
6,Vibrant & Block-based,General,Energetic,"Startup, Social",Neon Colors,⚡ Good,◐ Check WCAG,✓ High,✓ Full
|
|
||||||
7,Dark Mode (OLED),General,Night-Optimized,"Coding, Entertainment",Deep Black,⚡ Excellent,✓ AAA,✓ High,✓ Only
|
|
||||||
8,Accessible & Ethical,General,Inclusive,"Government, Health",High Contrast,⚡ Excellent,✓ AAA,✓ High,✓ Full
|
|
||||||
9,Claymorphism,General,Playful 3D,"Kids, Education, SaaS",Pastels,⚡ Good,⚠ Ensure 4.5:1,✓ High,◐ Partial
|
|
||||||
10,Aurora UI,General,Gradient Flow,"Creative, Premium",Vibrant Gradients,⚠ Good,⚠ Text contrast,✓ Good,✓ Full
|
|
||||||
11,Retro-Futurism,General,Neon Nostalgia,"Gaming, Music",Neon Colors,⚠ Moderate,⚠ Eye strain,◐ Medium,✓ Dark
|
|
||||||
12,Flat Design,General,2D Minimal,"Web Apps, SaaS",Solid Brights,⚡ Excellent,✓ AAA,✓ High,✓ Full
|
|
||||||
13,Skeuomorphism,General,Realistic Textures,"Gaming, Premium",Rich Realistic,❌ Poor,⚠ Readability,✗ Low,◐ Partial
|
|
||||||
14,Liquid Glass,General,Premium Fluid,"Luxury, Branding",Iridescent,⚠ Moderate-Poor,⚠ Text contrast,◐ Medium,✓ Full
|
|
||||||
15,Motion-Driven,General,Animation-Heavy,"Portfolio, Storytelling",Bold Colors,⚠ Good,⚠ Prefers-reduced,✓ Good,✓ Full
|
|
||||||
16,Micro-interactions,General,Tactile Feedback,"Mobile, Productivity",Subtle Shifts,⚡ Excellent,✓ Good,✓ High,✓ Full
|
|
||||||
17,Inclusive Design,General,Universal Access,"Public, Health",WCAG AAA,⚡ Excellent,✓ AAA,✓ High,✓ Full
|
|
||||||
18,Zero Interface,General,Voice/AI-First,"Assistants, Smart",Neutral,⚡ Excellent,✓ Excellent,✓ High,✓ Full
|
|
||||||
19,Soft UI Evolution,General,Modern Soft,"Enterprise, SaaS",Pastels+,⚡ Excellent,✓ AA+,✓ High,✓ Full
|
|
||||||
20,Hero-Centric,Landing Page,Conversion,Product Launch,Brand Primary,⚡ Good,✓ AA,✓ Full,✓ Full
|
|
||||||
21,Conversion-Optimized,Landing Page,Form-Focused,"Lead Gen, Trials",High Contrast,⚡ Excellent,✓ AA,✓ Full,✓ Full
|
|
||||||
22,Feature-Rich,Landing Page,Showcase,"Enterprise, SaaS",Brand + Cards,⚡ Good,✓ AA,✓ Good,✓ Full
|
|
||||||
23,Minimal & Direct,Landing Page,Simple,"Services, Indie",Monochromatic,⚡ Excellent,✓ AAA,✓ Full,✓ Full
|
|
||||||
24,Social Proof,Landing Page,Trust-Focused,"B2B, Professional",Brand + Trust,⚡ Good,✓ AA,✓ Full,✓ Full
|
|
||||||
25,Interactive Demo,Landing Page,Product Focus,"Tools, SaaS",Product Colors,⚠ Good,✓ AA,✓ Good,✓ Full
|
|
||||||
26,Trust & Authority,Landing Page,Credibility,"Finance, Legal",Professional,⚡ Excellent,✓ AAA,✓ Full,✓ Full
|
|
||||||
27,Storytelling,Landing Page,Narrative,"Brand, Startup",Varied,⚠ Moderate,✓ AA,✓ Good,✓ Full
|
|
||||||
28,Data-Dense,BI/Analytics,Maximum Info,"Financial, Ops",Neutral + Data,⚡ Excellent,✓ AA,◐ Medium,✓ Full
|
|
||||||
29,Heat Map Style,BI/Analytics,Intensity Viz,"Geo, Correlation",Cool→Hot Gradient,⚡ Excellent,⚠ Colorblind,◐ Medium,✓ Full
|
|
||||||
30,Executive,BI/Analytics,High-Level KPIs,"C-Suite, Summary",Brand + KPI,⚡ Excellent,✓ AA,✗ Low,✓ Full
|
|
||||||
31,Real-Time Monitor,BI/Analytics,Live Updates,"DevOps, Trading",Status Indicators,⚡ Good,✓ AA,◐ Medium,✓ Full
|
|
||||||
32,Drill-Down,BI/Analytics,Hierarchical,"Sales, Analytics",Breadcrumb Colors,⚡ Good,✓ AA,◐ Medium,✓ Full
|
|
||||||
33,Comparative,BI/Analytics,Period vs Period,"Sales, Benchmark",Compare Colors,⚡ Excellent,✓ AA,◐ Medium,✓ Full
|
|
||||||
34,Predictive,BI/Analytics,Forecast+AI,"Planning, Anomaly",Trend + Confidence,⚠ Good,✓ AA,◐ Medium,✓ Full
|
|
||||||
35,User Behavior,BI/Analytics,Conversion Funnel,"Product, Retention",Funnel Colors,⚡ Good,✓ AA,✓ Good,✓ Full
|
|
||||||
36,Financial,BI/Analytics,Revenue/Profit,"Accounting, Banking",Profit/Loss Colors,⚡ Excellent,✓ AAA,✗ Low,✓ Full
|
|
||||||
37,Sales Intelligence,BI/Analytics,Deal Pipeline,"CRM, Sales Mgmt",Pipeline Colors,⚡ Good,✓ AA,◐ Medium,✓ Full
|
|
||||||
38,Neubrutalism,General,Playful Bold,"Gen Z, Startups",Yellow + Primary,⚡ Excellent,✓ AAA,✓ High,✓ Full
|
|
||||||
39,Bento Box Grid,General,Modular Layout,"Dashboards, Apple-style",Neutral + Accent,⚡ Excellent,✓ AA,✓ High,✓ Full
|
|
||||||
40,Y2K Aesthetic,General,Retro Nostalgia,"Fashion, Gen Z",Pink + Cyan + Chrome,⚠ Good,⚠ Check,✓ Good,◐ Partial
|
|
||||||
41,Cyberpunk UI,General,Sci-Fi Dark,"Gaming, Crypto",Neon on Black,⚠ Moderate,⚠ Limited,◐ Medium,✓ Only
|
|
||||||
42,Organic Biophilic,General,Natural Wellness,"Wellness, Eco",Green + Earth,⚡ Excellent,✓ AA,✓ High,✓ Full
|
|
||||||
43,AI-Native UI,General,Conversational,"AI, Chatbots",Neutral + Purple,⚡ Excellent,✓ AA,✓ High,✓ Full
|
|
||||||
44,Memphis Design,General,80s Playful,"Creative, Youth",Geometric Neon,⚡ Excellent,⚠ Check,✓ Good,✓ Full
|
|
||||||
45,Vaporwave,General,Retro Synth,"Music, Gaming",Pink + Cyan + Purple,⚠ Moderate,⚠ Poor,◐ Medium,✓ Dark
|
|
||||||
46,Dimensional Layering,General,Depth Cards,"Dashboards, SaaS",Neutral + Shadows,⚠ Good,⚠ Moderate,✓ Good,✓ Full
|
|
||||||
47,Exaggerated Minimalism,General,Bold Minimal,"Fashion, Agency",Black + White,⚡ Excellent,✓ AA,✓ High,✓ Full
|
|
||||||
48,Kinetic Typography,General,Motion Text,"Hero, Marketing",Flexible Bold,⚠ Moderate,❌ Poor,✓ Good,✓ Full
|
|
||||||
49,Parallax Storytelling,General,Scroll Narrative,Brand Stories,Story-dependent,❌ Poor,❌ Poor,✗ Low,✓ Full
|
|
||||||
50,Swiss Modernism 2.0,General,Grid Rational,"Corporate, Editorial",B&W + Accent,⚡ Excellent,✓ AAA,✓ High,✓ Full
|
|
||||||
|
|
|
@ -1,7 +1,7 @@
|
||||||
#!/usr/bin/env python3
|
#!/usr/bin/env python3
|
||||||
# -*- coding: utf-8 -*-
|
# -*- coding: utf-8 -*-
|
||||||
"""
|
"""
|
||||||
UI/UX Pro Max Core - Shared components for search and plan generation
|
UI/UX Pro Max Core - BM25 search engine for UI/UX style guides
|
||||||
"""
|
"""
|
||||||
|
|
||||||
import csv
|
import csv
|
||||||
|
|
@ -45,11 +45,6 @@ CSV_CONFIG = {
|
||||||
"search_cols": ["Product Type", "Keywords", "Primary Style Recommendation", "Key Considerations"],
|
"search_cols": ["Product Type", "Keywords", "Primary Style Recommendation", "Key Considerations"],
|
||||||
"output_cols": ["Product Type", "Keywords", "Primary Style Recommendation", "Secondary Styles", "Landing Page Pattern", "Dashboard Style (if applicable)", "Color Palette Focus"]
|
"output_cols": ["Product Type", "Keywords", "Primary Style Recommendation", "Secondary Styles", "Landing Page Pattern", "Dashboard Style (if applicable)", "Color Palette Focus"]
|
||||||
},
|
},
|
||||||
"quick": {
|
|
||||||
"file": "quick-ref.csv",
|
|
||||||
"search_cols": ["Style Name", "Best For", "Category"],
|
|
||||||
"output_cols": ["Style Name", "Type", "Best For", "Primary Colors", "Performance", "Accessibility", "Mobile", "Dark Mode"]
|
|
||||||
},
|
|
||||||
"ux": {
|
"ux": {
|
||||||
"file": "ux-guidelines.csv",
|
"file": "ux-guidelines.csv",
|
||||||
"search_cols": ["Category", "Issue", "Description", "Platform"],
|
"search_cols": ["Category", "Issue", "Description", "Platform"],
|
||||||
|
|
@ -62,48 +57,21 @@ CSV_CONFIG = {
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
# Stack-specific configurations (separate from main CSV_CONFIG)
|
|
||||||
STACK_CONFIG = {
|
STACK_CONFIG = {
|
||||||
"html-tailwind": {
|
"html-tailwind": {"file": "stacks/html-tailwind.csv"},
|
||||||
"file": "stacks/html-tailwind.csv",
|
"react": {"file": "stacks/react.csv"},
|
||||||
"search_cols": ["Category", "Guideline", "Description", "Do", "Don't"],
|
"nextjs": {"file": "stacks/nextjs.csv"},
|
||||||
"output_cols": ["Category", "Guideline", "Description", "Do", "Don't", "Code Good", "Code Bad", "Severity", "Docs URL"]
|
"vue": {"file": "stacks/vue.csv"},
|
||||||
},
|
"svelte": {"file": "stacks/svelte.csv"},
|
||||||
"react": {
|
"swiftui": {"file": "stacks/swiftui.csv"},
|
||||||
"file": "stacks/react.csv",
|
"react-native": {"file": "stacks/react-native.csv"},
|
||||||
"search_cols": ["Category", "Guideline", "Description", "Do", "Don't"],
|
"flutter": {"file": "stacks/flutter.csv"}
|
||||||
"output_cols": ["Category", "Guideline", "Description", "Do", "Don't", "Code Good", "Code Bad", "Severity", "Docs URL"]
|
}
|
||||||
},
|
|
||||||
"nextjs": {
|
# Common columns for all stacks
|
||||||
"file": "stacks/nextjs.csv",
|
_STACK_COLS = {
|
||||||
"search_cols": ["Category", "Guideline", "Description", "Do", "Don't"],
|
"search_cols": ["Category", "Guideline", "Description", "Do", "Don't"],
|
||||||
"output_cols": ["Category", "Guideline", "Description", "Do", "Don't", "Code Good", "Code Bad", "Severity", "Docs URL"]
|
"output_cols": ["Category", "Guideline", "Description", "Do", "Don't", "Code Good", "Code Bad", "Severity", "Docs URL"]
|
||||||
},
|
|
||||||
"vue": {
|
|
||||||
"file": "stacks/vue.csv",
|
|
||||||
"search_cols": ["Category", "Guideline", "Description", "Do", "Don't"],
|
|
||||||
"output_cols": ["Category", "Guideline", "Description", "Do", "Don't", "Code Good", "Code Bad", "Severity", "Docs URL"]
|
|
||||||
},
|
|
||||||
"svelte": {
|
|
||||||
"file": "stacks/svelte.csv",
|
|
||||||
"search_cols": ["Category", "Guideline", "Description", "Do", "Don't"],
|
|
||||||
"output_cols": ["Category", "Guideline", "Description", "Do", "Don't", "Code Good", "Code Bad", "Severity", "Docs URL"]
|
|
||||||
},
|
|
||||||
"swiftui": {
|
|
||||||
"file": "stacks/swiftui.csv",
|
|
||||||
"search_cols": ["Category", "Guideline", "Description", "Do", "Don't"],
|
|
||||||
"output_cols": ["Category", "Guideline", "Description", "Do", "Don't", "Code Good", "Code Bad", "Severity", "Docs URL"]
|
|
||||||
},
|
|
||||||
"react-native": {
|
|
||||||
"file": "stacks/react-native.csv",
|
|
||||||
"search_cols": ["Category", "Guideline", "Description", "Do", "Don't"],
|
|
||||||
"output_cols": ["Category", "Guideline", "Description", "Do", "Don't", "Code Good", "Code Bad", "Severity", "Docs URL"]
|
|
||||||
},
|
|
||||||
"flutter": {
|
|
||||||
"file": "stacks/flutter.csv",
|
|
||||||
"search_cols": ["Category", "Guideline", "Description", "Do", "Don't"],
|
|
||||||
"output_cols": ["Category", "Guideline", "Description", "Do", "Don't", "Code Good", "Code Bad", "Severity", "Docs URL"]
|
|
||||||
}
|
|
||||||
}
|
}
|
||||||
|
|
||||||
AVAILABLE_STACKS = list(STACK_CONFIG.keys())
|
AVAILABLE_STACKS = list(STACK_CONFIG.keys())
|
||||||
|
|
@ -125,8 +93,7 @@ class BM25:
|
||||||
|
|
||||||
def tokenize(self, text):
|
def tokenize(self, text):
|
||||||
"""Lowercase, split, remove punctuation, filter short words"""
|
"""Lowercase, split, remove punctuation, filter short words"""
|
||||||
text = str(text).lower()
|
text = re.sub(r'[^\w\s]', ' ', str(text).lower())
|
||||||
text = re.sub(r'[^\w\s]', ' ', text)
|
|
||||||
return [w for w in text.split() if len(w) > 2]
|
return [w for w in text.split() if len(w) > 2]
|
||||||
|
|
||||||
def fit(self, documents):
|
def fit(self, documents):
|
||||||
|
|
@ -173,22 +140,35 @@ class BM25:
|
||||||
return sorted(scores, key=lambda x: x[1], reverse=True)
|
return sorted(scores, key=lambda x: x[1], reverse=True)
|
||||||
|
|
||||||
|
|
||||||
# ============ UTILITY FUNCTIONS ============
|
# ============ SEARCH FUNCTIONS ============
|
||||||
def load_csv(filepath):
|
def _load_csv(filepath):
|
||||||
"""Load CSV and return list of dicts"""
|
"""Load CSV and return list of dicts"""
|
||||||
with open(filepath, 'r', encoding='utf-8') as f:
|
with open(filepath, 'r', encoding='utf-8') as f:
|
||||||
return list(csv.DictReader(f))
|
return list(csv.DictReader(f))
|
||||||
|
|
||||||
|
|
||||||
def regex_search(data, query, search_cols):
|
def _search_csv(filepath, search_cols, output_cols, query, max_results):
|
||||||
"""Exact/regex matching for specific patterns"""
|
"""Core search function using BM25"""
|
||||||
pattern = re.compile(re.escape(query), re.IGNORECASE)
|
if not filepath.exists():
|
||||||
|
return []
|
||||||
|
|
||||||
|
data = _load_csv(filepath)
|
||||||
|
|
||||||
|
# Build documents from search columns
|
||||||
|
documents = [" ".join(str(row.get(col, "")) for col in search_cols) for row in data]
|
||||||
|
|
||||||
|
# BM25 search
|
||||||
|
bm25 = BM25()
|
||||||
|
bm25.fit(documents)
|
||||||
|
ranked = bm25.score(query)
|
||||||
|
|
||||||
|
# Get top results with score > 0
|
||||||
results = []
|
results = []
|
||||||
for idx, row in enumerate(data):
|
for idx, score in ranked[:max_results]:
|
||||||
for col in search_cols:
|
if score > 0:
|
||||||
if col in row and pattern.search(str(row[col])):
|
row = data[idx]
|
||||||
results.append((idx, 100))
|
results.append({col: row.get(col, "") for col in output_cols if col in row})
|
||||||
break
|
|
||||||
return results
|
return results
|
||||||
|
|
||||||
|
|
||||||
|
|
@ -197,73 +177,19 @@ def detect_domain(query):
|
||||||
query_lower = query.lower()
|
query_lower = query.lower()
|
||||||
|
|
||||||
domain_keywords = {
|
domain_keywords = {
|
||||||
"color": ["color", "palette", "hex", "#", "rgb", "financial", "sales", "marketing", "healthcare", "it", "devops", "hr"],
|
"color": ["color", "palette", "hex", "#", "rgb"],
|
||||||
"chart": ["chart", "graph", "visualization", "trend", "bar", "pie", "scatter", "heatmap", "funnel", "gauge", "line"],
|
"chart": ["chart", "graph", "visualization", "trend", "bar", "pie", "scatter", "heatmap", "funnel"],
|
||||||
"landing": ["landing", "page", "cta", "conversion", "hero", "testimonial", "form", "pricing", "section"],
|
"landing": ["landing", "page", "cta", "conversion", "hero", "testimonial", "pricing", "section"],
|
||||||
"product": ["saas", "ecommerce", "e-commerce", "fintech", "healthcare", "gaming", "portfolio", "agency", "crypto", "social", "productivity"],
|
"product": ["saas", "ecommerce", "e-commerce", "fintech", "healthcare", "gaming", "portfolio", "crypto", "dashboard"],
|
||||||
"prompt": ["prompt", "css", "implementation", "variable", "checklist", "code", "tailwind", "styled"],
|
"prompt": ["prompt", "css", "implementation", "variable", "checklist", "tailwind"],
|
||||||
"quick": ["quick", "summary", "overview", "all styles", "list", "compare"],
|
"style": ["style", "design", "ui", "minimalism", "glassmorphism", "neumorphism", "brutalism", "dark mode", "flat", "aurora"],
|
||||||
"style": ["style", "design", "ui", "minimalism", "glassmorphism", "neumorphism", "brutalism", "dark mode", "flat", "3d", "aurora", "retro"],
|
"ux": ["ux", "usability", "accessibility", "wcag", "touch", "scroll", "animation", "keyboard", "navigation", "mobile"],
|
||||||
"ux": ["ux", "user experience", "usability", "accessibility", "wcag", "touch", "scroll", "animation", "focus", "keyboard", "screen reader", "loading", "error", "validation", "feedback", "navigation", "mobile", "responsive", "performance", "z-index", "overflow"]
|
"typography": ["font", "typography", "heading", "serif", "sans"]
|
||||||
}
|
}
|
||||||
|
|
||||||
scores = {domain: 0 for domain in domain_keywords}
|
scores = {domain: sum(1 for kw in keywords if kw in query_lower) for domain, keywords in domain_keywords.items()}
|
||||||
for domain, keywords in domain_keywords.items():
|
best = max(scores, key=scores.get)
|
||||||
for keyword in keywords:
|
return best if scores[best] > 0 else "style"
|
||||||
if keyword in query_lower:
|
|
||||||
scores[domain] += 1
|
|
||||||
|
|
||||||
best_domain = max(scores, key=scores.get)
|
|
||||||
return best_domain if scores[best_domain] > 0 else "style"
|
|
||||||
|
|
||||||
|
|
||||||
def search_domain(query, domain, max_results=MAX_RESULTS):
|
|
||||||
"""Search a specific domain and return results"""
|
|
||||||
config = CSV_CONFIG.get(domain)
|
|
||||||
if not config:
|
|
||||||
return []
|
|
||||||
|
|
||||||
filepath = DATA_DIR / config["file"]
|
|
||||||
if not filepath.exists():
|
|
||||||
return []
|
|
||||||
|
|
||||||
data = load_csv(filepath)
|
|
||||||
search_cols = config["search_cols"]
|
|
||||||
output_cols = config["output_cols"]
|
|
||||||
|
|
||||||
documents = []
|
|
||||||
for row in data:
|
|
||||||
doc_text = " ".join(str(row.get(col, "")) for col in search_cols)
|
|
||||||
documents.append(doc_text)
|
|
||||||
|
|
||||||
bm25 = BM25()
|
|
||||||
bm25.fit(documents)
|
|
||||||
bm25_results = bm25.score(query)
|
|
||||||
|
|
||||||
regex_results = regex_search(data, query, search_cols)
|
|
||||||
|
|
||||||
seen = set()
|
|
||||||
merged = []
|
|
||||||
for idx, score in regex_results:
|
|
||||||
if idx not in seen:
|
|
||||||
merged.append((idx, score + 50))
|
|
||||||
seen.add(idx)
|
|
||||||
|
|
||||||
for idx, score in bm25_results:
|
|
||||||
if idx not in seen and score > 0:
|
|
||||||
merged.append((idx, score))
|
|
||||||
seen.add(idx)
|
|
||||||
|
|
||||||
merged.sort(key=lambda x: x[1], reverse=True)
|
|
||||||
top_indices = [idx for idx, _ in merged[:max_results]]
|
|
||||||
|
|
||||||
results = []
|
|
||||||
for idx in top_indices:
|
|
||||||
row = data[idx]
|
|
||||||
filtered_row = {col: row.get(col, "") for col in output_cols if col in row}
|
|
||||||
results.append(filtered_row)
|
|
||||||
|
|
||||||
return results
|
|
||||||
|
|
||||||
|
|
||||||
def search(query, domain=None, max_results=MAX_RESULTS):
|
def search(query, domain=None, max_results=MAX_RESULTS):
|
||||||
|
|
@ -277,7 +203,7 @@ def search(query, domain=None, max_results=MAX_RESULTS):
|
||||||
if not filepath.exists():
|
if not filepath.exists():
|
||||||
return {"error": f"File not found: {filepath}", "domain": domain}
|
return {"error": f"File not found: {filepath}", "domain": domain}
|
||||||
|
|
||||||
results = search_domain(query, domain, max_results)
|
results = _search_csv(filepath, config["search_cols"], config["output_cols"], query, max_results)
|
||||||
|
|
||||||
return {
|
return {
|
||||||
"domain": domain,
|
"domain": domain,
|
||||||
|
|
@ -290,55 +216,21 @@ def search(query, domain=None, max_results=MAX_RESULTS):
|
||||||
|
|
||||||
def search_stack(query, stack, max_results=MAX_RESULTS):
|
def search_stack(query, stack, max_results=MAX_RESULTS):
|
||||||
"""Search stack-specific guidelines"""
|
"""Search stack-specific guidelines"""
|
||||||
config = STACK_CONFIG.get(stack)
|
if stack not in STACK_CONFIG:
|
||||||
if not config:
|
|
||||||
return {"error": f"Unknown stack: {stack}. Available: {', '.join(AVAILABLE_STACKS)}"}
|
return {"error": f"Unknown stack: {stack}. Available: {', '.join(AVAILABLE_STACKS)}"}
|
||||||
|
|
||||||
filepath = DATA_DIR / config["file"]
|
filepath = DATA_DIR / STACK_CONFIG[stack]["file"]
|
||||||
|
|
||||||
if not filepath.exists():
|
if not filepath.exists():
|
||||||
return {"error": f"Stack file not found: {filepath}", "stack": stack}
|
return {"error": f"Stack file not found: {filepath}", "stack": stack}
|
||||||
|
|
||||||
data = load_csv(filepath)
|
results = _search_csv(filepath, _STACK_COLS["search_cols"], _STACK_COLS["output_cols"], query, max_results)
|
||||||
search_cols = config["search_cols"]
|
|
||||||
output_cols = config["output_cols"]
|
|
||||||
|
|
||||||
documents = []
|
|
||||||
for row in data:
|
|
||||||
doc_text = " ".join(str(row.get(col, "")) for col in search_cols)
|
|
||||||
documents.append(doc_text)
|
|
||||||
|
|
||||||
bm25 = BM25()
|
|
||||||
bm25.fit(documents)
|
|
||||||
bm25_results = bm25.score(query)
|
|
||||||
|
|
||||||
regex_results = regex_search(data, query, search_cols)
|
|
||||||
|
|
||||||
seen = set()
|
|
||||||
merged = []
|
|
||||||
for idx, score in regex_results:
|
|
||||||
if idx not in seen:
|
|
||||||
merged.append((idx, score + 50))
|
|
||||||
seen.add(idx)
|
|
||||||
|
|
||||||
for idx, score in bm25_results:
|
|
||||||
if idx not in seen and score > 0:
|
|
||||||
merged.append((idx, score))
|
|
||||||
seen.add(idx)
|
|
||||||
|
|
||||||
merged.sort(key=lambda x: x[1], reverse=True)
|
|
||||||
top_indices = [idx for idx, _ in merged[:max_results]]
|
|
||||||
|
|
||||||
results = []
|
|
||||||
for idx in top_indices:
|
|
||||||
row = data[idx]
|
|
||||||
filtered_row = {col: row.get(col, "") for col in output_cols if col in row}
|
|
||||||
results.append(filtered_row)
|
|
||||||
|
|
||||||
return {
|
return {
|
||||||
"domain": "stack",
|
"domain": "stack",
|
||||||
"stack": stack,
|
"stack": stack,
|
||||||
"query": query,
|
"query": query,
|
||||||
"file": config["file"],
|
"file": STACK_CONFIG[stack]["file"],
|
||||||
"count": len(results),
|
"count": len(results),
|
||||||
"results": results
|
"results": results
|
||||||
}
|
}
|
||||||
|
|
|
||||||
|
|
@ -1,10 +1,10 @@
|
||||||
#!/usr/bin/env python3
|
#!/usr/bin/env python3
|
||||||
# -*- coding: utf-8 -*-
|
# -*- coding: utf-8 -*-
|
||||||
"""
|
"""
|
||||||
UI/UX Pro Max Search - BM25 + Regex hybrid search for UI/UX style guides
|
UI/UX Pro Max Search - BM25 search engine for UI/UX style guides
|
||||||
Usage: python search.py "<query>" [--domain <domain>] [--stack <stack>] [--max-results 3]
|
Usage: python search.py "<query>" [--domain <domain>] [--stack <stack>] [--max-results 3]
|
||||||
|
|
||||||
Domains: style, prompt, color, chart, landing, product, quick, ux
|
Domains: style, prompt, color, chart, landing, product, ux, typography
|
||||||
Stacks: html-tailwind, react, nextjs
|
Stacks: html-tailwind, react, nextjs
|
||||||
"""
|
"""
|
||||||
|
|
||||||
|
|
|
||||||
Loading…
Reference in New Issue