Bendt
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7c685f3044
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docs: Create comprehensive performance optimization plan
- Research Textual best practices and performance guidelines
- Analyze current mail app performance issues
- Create 4-week implementation plan
- Define success metrics for performance targets
- Focus on: compose() pattern, lazy loading, reactive properties, caching
- Include testing strategy and benchmarking approach
Key areas to address:
- Widget mounting and composition (use compose() instead of manual mounting)
- Lazy loading for envelopes (defer expensive operations)
- Reactive property updates (avoid manual rebuilds)
- Efficient list rendering (use ListView properly)
- Background workers for content fetching (use @work decorator)
- Memoization for expensive operations
- Code cleanup (unused imports, type safety)
- Advanced optimizations (virtual scrolling, debouncing, widget pooling)
Estimated improvements:
- 70-90% faster startup time
- 60-90% faster navigation
- 70% reduction in memory usage
- Smooth 60 FPS rendering
Research sources:
- Textual blog: 7 Things I've Learned
- Textual algorithms for high performance apps
- Python performance guides from fyld and Analytics Vidhya
- Textual widget documentation and examples
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2025-12-28 13:44:04 -05:00 |
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