v2.0.1

Summary

This release focuses on performance optimization, code quality improvements, and documentation restructuring.

Performance Improvements

• LRU Cache Implementation: All caches now use OrderedDict with proper LRU eviction to prevent memory leaks
• Pre-compiled Regex Patterns: Regular expressions are now compiled at module level for better performance

Code Quality

• Unified ClassificationResult: Single canonical definition in ai_classifier.py
• Cache Invalidation Fix: learn_from_feedback() now properly clears both caches

Documentation

• Restructured Architecture Docs: Updated to reflect current code structure
• Consolidated Changelog: Created unified CHANGELOG.md

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摘要

本版本专注于性能优化、代码质量改进和文档重构。

性能改进

• LRU 缓存实现: 所有缓存现使用 OrderedDict 实现 LRU 淘汰，防止内存泄漏
• 预编译正则表达式: 正则表达式现于模块级别编译，提升性能

代码质量

• 统一 ClassificationResult: 在 ai_classifier.py 中统一定义
• 缓存失效修复: learn_from_feedback() 现正确清理缓存

文档

• 重构架构文档: 更新反映当前代码结构
• 合并更新日志: 创建统一的 CHANGELOG.md

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Full Changelog: v2.0.0...v2.0.1

CleanBook v2.0.0

See CHANGELOG.md for details