# Refactoring Summary ## High-ROI Refactorings Completed ### 1. Eliminated Code Duplication - Session Management ✅ **Problem**: The `_get_aio_session()` method was duplicated identically in both `GoogleCloudFileStorage` and `GoogleCloudVectorSearch` classes. **Solution**: - Created a new `BaseGoogleCloudClient` base class that encapsulates shared session management logic - Both `GoogleCloudFileStorage` and `GoogleCloudVectorSearch` now inherit from this base class - Added a `close()` method to properly clean up resources **Files Changed**: - `src/knowledge_search_mcp/main.py:25-80` - Added base class - `src/knowledge_search_mcp/main.py:83` - GoogleCloudFileStorage inherits from base - `src/knowledge_search_mcp/main.py:219` - GoogleCloudVectorSearch inherits from base **Impact**: Reduced ~24 lines of duplicated code, improved maintainability --- ### 2. Fixed Resource Cleanup ✅ **Problem**: aiohttp sessions were never explicitly closed, leading to potential resource leaks and warnings. **Solution**: - Added `close()` method to `BaseGoogleCloudClient` to properly close aiohttp sessions - Extended `close()` in `GoogleCloudVectorSearch` to also close the storage client's session - Modified `lifespan()` function's finally block to call `vs.close()` on shutdown **Files Changed**: - `src/knowledge_search_mcp/main.py:74-78` - Base close method - `src/knowledge_search_mcp/main.py:228-231` - VectorSearch close override - `src/knowledge_search_mcp/main.py:699-707` - Cleanup in lifespan finally block **Impact**: Prevents resource leaks, eliminates aiohttp warnings on shutdown --- ### 3. Implemented LRU Cache with Size Limits ✅ **Problem**: The `_cache` dictionary in `GoogleCloudFileStorage` grew indefinitely, potentially causing memory issues with large document sets. **Solution**: - Created a new `LRUCache` class with configurable max size (default: 100 items) - Automatically evicts least recently used items when cache is full - Maintains insertion order and tracks access patterns **Files Changed**: - `src/knowledge_search_mcp/main.py:28-58` - New LRUCache class - `src/knowledge_search_mcp/main.py:85-87` - Updated GoogleCloudFileStorage to use LRUCache - `src/knowledge_search_mcp/main.py:115-122` - Updated cache access patterns - `src/knowledge_search_mcp/main.py:147-148` - Updated cache write patterns - `tests/test_search.py` - Updated tests to work with LRUCache interface **Impact**: Bounded memory usage, prevents cache from growing indefinitely --- ### 4. Broke Down Large Functions ✅ #### a. Extracted Validation Functions from `lifespan()` **Problem**: The `lifespan()` function was 225 lines with repetitive validation logic. **Solution**: Extracted three helper functions: - `_validate_genai_access()` - Validates GenAI embedding API access - `_validate_gcs_access()` - Validates GCS bucket access - `_validate_vector_search_access()` - Validates vector search endpoint access **Files Changed**: - `src/knowledge_search_mcp/main.py:424-587` - New validation functions - `src/knowledge_search_mcp/main.py:644-693` - Simplified lifespan function **Impact**: Reduced lifespan() from 225 to ~65 lines, improved readability and testability #### b. Extracted Helper Functions from `knowledge_search()` **Problem**: The `knowledge_search()` function was 149 lines mixing multiple concerns. **Solution**: Extracted three helper functions: - `_generate_query_embedding()` - Handles embedding generation with error handling - `_filter_search_results()` - Applies similarity thresholds and filtering - `_format_search_results()` - Formats results as XML-like documents **Files Changed**: - `src/knowledge_search_mcp/main.py:717-766` - _generate_query_embedding - `src/knowledge_search_mcp/main.py:769-793` - _filter_search_results - `src/knowledge_search_mcp/main.py:796-810` - _format_search_results - `src/knowledge_search_mcp/main.py:814-876` - Simplified knowledge_search function **Impact**: Reduced knowledge_search() from 149 to ~63 lines, improved testability, added input validation for empty queries --- ## Additional Improvements ### Input Validation - Added validation for empty/whitespace-only queries in `_generate_query_embedding()` ### Code Organization - Moved `import time` from inline to module-level imports ### Test Updates - Updated all tests to work with the new LRUCache interface - All 11 tests passing --- ## Metrics | Metric | Before | After | Change | |--------|--------|-------|--------| | Total lines (main.py) | 809 | 876 | +67 (more modular code) | | Longest function | 225 lines | 65 lines | -71% | | Code duplication instances | 2 major | 0 | -100% | | Resource leaks | Yes | No | Fixed | | Cache memory bound | No | Yes (100 items) | Fixed | | Test coverage | 11 tests | 11 tests | Maintained | --- ## What's Left for Future Work ### Medium Priority (Not Done) - Move magic numbers to Settings configuration - Update outdated DockerfileConnector - Review and adjust logging levels - Add dependency injection for tighter coupling issues ### Lower Priority (Not Done) - Add integration tests for end-to-end flows - Add performance tests - Introduce abstraction layers for cloud services - Standardize on f-strings (one %-format remaining)