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Plan for Handling Large Repository Performance and Validation #1

@coder-ralph

Description

@coder-ralph

To be implemented

Key Optimizations Planned:

1. GitHub API Limits Validation

  • Add validation for 100,000 entries and 7MB size limits
  • Show warning dialog before processing large repositories
  • Provide detailed statistics about repository size

2. Performance Improvements

  • Memoization: Enhance useMemo usage for expensive operations
  • CSS Containment: Add contain: "layout style paint" to isolate rendering
  • Depth Limiting: Limit tree depth to 20 levels for very large repos
  • Description Caching: Cache file/directory descriptions to avoid recomputation
  • Early Returns: Add early returns in filtering and structure building

3. Memory Optimization

  • Sorted Processing: Process files in sorted order for better cache locality
  • Single Pass Sorting: Optimize sorting algorithm
  • Cache Size Limiting: Limit description cache to 1000 entries

4. User Experience

  • Warning System: Show warnings for medium (10k+) and large (50k+) repositories
  • Progress Feedback: Provide clear validation dialog with repository statistics
  • Performance Thresholds: Handle differently depending on repository size

5. Additional Features

  • Validation Dialog: Interactive dialog showing repo size and warnings
  • Repository Statistics: Display entry count and estimated size
  • Continue Option: Allow users to proceed with large repositories after warning

🎨 UI Design

Validation Dialog

Image Image

Medium & Large Repository Processed

Image Image

Implementation Notes:

  • Update imports to include additional types (RepoValidationResult, PERFORMANCE_THRESHOLDS)
  • Enhance error messages for API limit violations
  • Improve memory management to handle large repositories more gracefully
  • Add CSS containment and depth limiting to improve rendering performance

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