feat: 修改README，将TODO描述改成使用建议。增加开源协议链接

Author: rushairer

README.md

@@ -12,25 +12,25 @@ A high-performance, configurable Go data processing pipeline library with suppor
 
 ## 🚀 Performance Metrics
 
-- ✅ Reliably processes tens of billions of data entries daily
-- ⚡️ Handles hundreds of thousands of entries per second per instance
-- 💾 Controlled memory usage, supports large-scale distributed deployment
-- 🔥 Excellent performance in high-concurrency and big data scenarios
+-   ✅ Reliably processes tens of billions of data entries daily
+-   ⚡️ Handles hundreds of thousands of entries per second per instance
+-   💾 Controlled memory usage, supports large-scale distributed deployment
+-   🔥 Excellent performance in high-concurrency and big data scenarios
 
 ## ✨ Features
 
-- 🎯 Generic support for processing any data type
-- 🔄 Provides both synchronous and asynchronous processing modes
-- 🎨 Data deduplication support
-- ⚙️ Configurable batch size and flush intervals
-- 🛡️ Built-in error handling and recovery mechanisms
-- 🎊 Graceful shutdown and resource release
+-   🎯 Generic support for processing any data type
+-   🔄 Provides both synchronous and asynchronous processing modes
+-   🎨 Data deduplication support
+-   ⚙️ Configurable batch size and flush intervals
+-   🛡️ Built-in error handling and recovery mechanisms
+-   🎊 Graceful shutdown and resource release
 
-- Production Environment Validation:
-  - Stable operation with tens of billions of daily data entries
-  - Single instance processes hundreds of thousands of entries per second
-  - Controlled memory usage, supports large-scale distributed deployment
-  - Excellent performance in high-concurrency and big data scenarios
+-   Production Environment Validation:
+    -   Stable operation with tens of billions of daily data entries
+    -   Single instance processes hundreds of thousands of entries per second
+    -   Controlled memory usage, supports large-scale distributed deployment
+    -   Excellent performance in high-concurrency and big data scenarios
 
 ## Installation
 
@@ -286,18 +286,18 @@ graph TB
     - Adjust based on real-time requirements
     - Smaller intervals improve real-time performance but increase processing overhead
 
-## TODO
+## Usage Recommendations
 
 1. Concurrency Control
 
-    - Implement goroutine pool to control concurrency
-    - Prevent goroutine leaks under high load
+    - Consider implementing goroutine pool to control concurrency
+    - Take measures to prevent goroutine leaks under high load
 
-2. Enhanced Error Handling
+2. Error Handling Enhancement
 
-    - Add error callback mechanism
-    - Implement more comprehensive graceful shutdown
-    - Provide batch processing status tracking
+    - Consider adding error callback mechanism
+    - Implement comprehensive graceful shutdown strategy
+    - Consider adding batch processing status tracking
 
 3. Performance Optimization
 
@@ -313,3 +313,7 @@ graph TB
     - Add detailed logging
     - Integrate monitoring metrics export
     - Provide debugging interfaces
+
+## License
+
+This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

README_cn.md

@@ -286,18 +286,18 @@ graph TB
     - 根据实时性要求调整
     - 较小的间隔可提高实时性，但会增加处理开销
 
-## TODO
+## 使用建议
 
 1. 并发控制
 
-    - 实现 goroutine 池控制并发数量
-    - 避免高负载下的 goroutine 泄露
+    - 建议实现 goroutine 池以控制并发数量
+    - 注意采取措施防止高负载下的 goroutine 泄露
 
 2. 错误处理增强
 
-    - 添加错误回调机制
-    - 实现更完善的优雅关闭功能
-    - 提供批次处理状态追踪
+    - 可以考虑添加错误回调机制
+    - 建议实现完善的优雅关闭策略
+    - 可以考虑添加批次处理状态追踪
 
 3. 性能优化
 
@@ -313,3 +313,7 @@ graph TB
     - 添加详细的日志记录
     - 集成监控指标导出
     - 提供调试接口
+
+## 开源协议
+
+本项目采用 MIT 开源协议 - 查看 [LICENSE](LICENSE) 文件了解详情。