Memory Management Optimization #14
Description
Over extended usage, especially with large code generations or frequent AI interactions, "Karbon - AI Web Builder" might experience increasing memory consumption, potentially leading to performance degradation or even crashes. Implementing strategic memory management optimizations is crucial for long-term stability and responsiveness.
Proposed Solution:
- Review Data Structures: Analyze the data structures used for storing generated code, preview content, and prompt history (
ai_engine.py,preview.py,prompt_view.py). Identify areas where more memory-efficient alternatives could be employed. - Garbage Collection Awareness: Ensure that Python's garbage collection is effectively managing unused objects. Explicitly dereference large objects when they are no longer needed, especially those related to AI responses or preview rendering.
- Lazy Loading/Unloading: For elements that are not always visible or immediately required (e.g., historical preview states, very large code snippets), consider lazy loading them only when accessed and unloading them from memory when no longer active.
- Resource Deallocation: Ensure that all system resources (e.g., image buffers in Tkinter, temporary files created during export/preview) are properly released when no longer in use.
- Profiling Tools: Utilize Python profiling tools (e.g.,
memory_profiler) to identify specific memory leaks or areas of high memory usage during development and testing. - Limit History/Cache Size: Implement configurable limits for the size of any history stacks (e.g., undo/redo, prompt history) or caches to prevent them from growing indefinitely.
Benefits:
- Enhanced Stability: Reduces the likelihood of the application crashing due to out-of-memory errors.
- Consistent Performance: Ensures that the application remains fast and responsive even after prolonged use or numerous AI generations.
- Resource Efficiency: Uses system resources more effectively, which is beneficial for users with limited RAM.
- Improved User Experience: A smooth and reliable application fosters user trust and satisfaction.