- Calculate and store standard deviation during rating prediction
- Add std_dev column to players database table
- Display standard deviation tooltip on hover over predicted rating
- Show rating range (±std_dev) tooltip on hover over current rating
- Update tooltips dynamically when ratings are refreshed
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Allow users to add themselves to the player database through a web form,
eliminating the need for manual pdga-numbers.txt updates. Implement 24-hour
rate limiting on prediction refreshes to prevent abuse while maintaining
reasonable update frequency.
Key changes:
- Add player self-registration with PDGA number lookup and confirmation
- Store predicted ratings in database for persistence across restarts
- Implement 24-hour rate limit on prediction refresh endpoint
- Make database the single source of truth (text file only for initial seed)
- Remove "Scrape All Layouts" bulk operation button
- Update "Load All" to refresh existing players instead of text file
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Add request locking system to prevent concurrent scrapes of same course
- Extend HTTP timeouts (10-30 min) for long-running scraping operations
- Add comprehensive logging for layout parsing to debug silent failures
- Implement accordion UI to hide layouts not played within 365 days
- Return 409 status when scrape already in progress for a course
- Add visual indicators for active vs inactive layouts
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Features added:
- Course directory scraping with pagination for Swedish courses
- Layout scraping from course detail pages (AJAX tabs)
- Event results scraping to calculate layout ratings
- Mean rating calculation based on players who shot par
- Last played date tracking for each layout (extracted from event pages)
- Multi-event aggregation for accurate ratings across tournaments
Database:
- Added courses table (name, link, city, last_updated)
- Added layouts table (name, par, mean_rating, rating_count, last_played)
- Added database migrations for new columns
- Foreign key relationship between courses and layouts
API endpoints:
- POST /api/scrape-courses - scrape course directory
- POST /api/scrape-layouts/:courseId - scrape layouts and events (combined)
- POST /api/scrape-all-layouts - bulk scrape all courses
- POST /api/scrape-event-results/:courseId - process event results
- GET /api/courses - fetch all courses
- GET /api/layouts/:courseId - fetch layouts for course
UI:
- New courses.html page for course/layout management
- Expandable course rows showing layouts
- Display layout par, mean rating, and last played date
- Layouts sorted by most recently played (newest first)
- Individual and bulk scraping controls
Technical details:
- Date extraction using regex pattern matching from event pages
- Proper detection of division results in details/table.results structure
- Round score and rating extraction from td.round/td.round-rating pairs
- Course location from td.views-field-field-course-location
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Modified calculatePredictedRating function to collect debug logs instead of console output
- Added debug modal UI with ? icon next to predicted ratings
- Updated API responses to include detailed calculation steps
- Fixed compatibility issue with competition property in round data
- Users can now see PDGA rules, filtering, outliers, and weighting details
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Read pdga-numbers.txt at server startup and check for missing players
- Automatically scrape and populate any missing players into database
- Maintain respectful 2-second delays between PDGA requests
- Add comprehensive logging for population process
- Include new API endpoints for manual database population and status checking
- Ensure database is fully populated before server accepts requests
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Make database the single source of truth (no automatic cache expiration)
- Page loads now instant: read ratings + predictions directly from DB
- Remove automatic PDGA scraping on page load for performance
- Only scrape PDGA when user explicitly clicks refresh icons
- Add getPlayerDataFromDB() for fast DB-only player loading
- Separate scrapePDGARating() for explicit refresh operations only
- Remove delays from page load path (DB reads don't need rate limiting)
- Skip players not in DB rather than auto-scraping on page load
- User controls data freshness via refresh buttons
Performance: Page loads ~5+ minutes → instant DB reads
User experience: Predictable, fast, user-controlled data freshness
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Use /details page as baseline for official rating rounds (source of truth)
- Only scrape tournaments played AFTER latest official round from main page
- Dramatically reduce PDGA server load: ~50+ tournaments → ~2-5 tournaments
- Add getOptimizedPlayerRounds() for efficient round collection
- Add getNewTournamentRounds() for smart tournament filtering by date
- Reduce scraping delays: 2-3s → 0.5-1s (minimal tournaments to scrape)
- Improve prediction speed: ~5+ minutes → ~30-60 seconds
- Maintain accuracy with official PDGA rating calculation methodology
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Fix parseDate function to handle multi-day tournament formats (e.g., "2-Sep to 3-Sep-2023")
- Integrate PDGA update date simulation using 2nd Tuesday cutoffs for accurate predictions
- Calculate and display predictions automatically from database on page load
- Update rating calculation to use proper PDGA timing windows (12/24 months before update date)
- Improve date parsing regex to correctly extract start dates from tournament ranges
- Include updated player list in pdga-numbers.txt
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Mobile improvements:
- Responsive table layout with hidden columns on mobile
- Touch-friendly buttons and improved spacing
- Consolidated information display for small screens
- Mobile-specific CSS with media queries
PDGA rating simulation:
- Calculate next official PDGA update date (2nd Tuesday of each month)
- Filter tournaments to only include rounds before next update
- Simulate realistic rating predictions based on PDGA schedule
- Account for rolling 12-month window and round expiration
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Add subtle "clear cache" link (gear icon) in top-right corner
- Implement cache clearing endpoint with user feedback
- Fix delay logic to skip delays for cached data
- Only apply rate limiting delays when actually scraping fresh data
- Add cache size reporting when clearing cache
- Improve performance for repeat visits with cached data
- Maintain server-friendly rate limiting for fresh scrapes
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Update predicted rating algorithm to match PDGA rating guide
- Focus on tournaments from last 12 months only (improved accuracy)
- Add proper outlier exclusion: rounds >2.5 std dev below average
- Implement double weighting for most recent 25% of rounds (9+ rounds)
- Apply PDGA minimum data requirements (7 rounds for outlier exclusion)
- Improve error handling and rate limiting for tournament scraping
- Add user-friendly error messages for failed calculations
- Reduce tournament scraping from 15 to 8 tournaments to avoid rate limits
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Cache predicted rating calculations (24 hour duration)
- Cache rating history data to avoid repeated scraping
- Implement separate cache keys for different data types
- Add cache hit logging for monitoring effectiveness
- Update PDGA numbers list with additional players
- Significantly improve performance for repeat visitors
- Reduce load on PDGA servers with intelligent caching
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Implement clickable player rows to expand/collapse rating history
- Add rating history scraping from PDGA history pages
- Create custom SVG line charts showing rating progression over time
- Add interactive tooltips with date and rating on hover
- Include visual highlights when hovering over data points
- Implement anti-flicker tooltip system with delayed hiding
- Add large hover areas (12px radius) for better user experience
- Show grid lines, axis labels, and responsive chart scaling
- Cache rating history data to avoid repeated API calls
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Implement Server-Sent Events for live progress updates
- Add animated progress bar with percentage display
- Show real-time status: current player being loaded
- Display player names as they complete loading
- Handle errors gracefully with progress continuation
- Replace HTTP-only approach for better reliability
- Enhanced user experience with visual feedback
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Add Dockerfile with optimized Puppeteer configuration for containers
- Add .dockerignore for efficient builds
- Fix rating change regex to match actual PDGA format (no brackets)
- Update Puppeteer launch args for Docker compatibility
- Use new headless mode to resolve deprecation warning
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Web scraping app for PDGA player ratings
- Current rating extraction from player pages
- Tournament round rating scraping for predictions
- Statistical rating prediction algorithm
- Interactive table with on-demand calculations
- Caching for performance optimization
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Samuel Enocsson
shcizo