archived_scripts/README.md

Code Cleanup Summary

What Was Done

✅ Files Moved to archived_scripts/

7 unused/utility scripts have been organized into a separate folder:

1. api.py - FastAPI alternative implementation (not used by streamlit_app.py)
2. audit_collection_names.py - SQLite debugging/auditing script
3. cleanup_chroma.py - ChromaDB cleanup utility
4. create_architecture_diagram.py - Standalone diagram generation
5. create_ppt_presentation.py - Standalone PowerPoint generation
6. create_trace_flow_diagrams.py - Standalone flow diagram generation
7. example.py - Example usage script (non-production)

✅ Code Review Report Created

A comprehensive CODE_REVIEW_REPORT.md has been generated with:

• Architecture Assessment: Well-designed modular system ✅
• Code Quality Analysis: Good with minor improvement areas
• Recommendations:
  • Priority 1: Add structured logging, improve error handling
  • Priority 2: Add input validation, performance monitoring
  • Priority 3: Add constants file, unit tests

📊 Project Structure After Cleanup

Main Production Code (9 core files):
- streamlit_app.py, run.py, config.py
- vector_store.py, llm_client.py, embedding_models.py
- chunking_strategies.py, dataset_loader.py
- trace_evaluator.py, evaluation_pipeline.py, advanced_rag_evaluator.py

Recovery/Utility Scripts (6 files):
- rebuild_chroma_index.py, rebuild_sqlite_direct.py
- recover_chroma_advanced.py, recover_collections.py
- rename_collections.py, reset_sqlite_index.py

Test Scripts (2 files):
- test_llm_audit_trail.py, test_rmse_aggregation.py

Archived/Non-Production (7 files in archived_scripts/):
- Example, API, utilities, documentation generators

Key Findings

✅ Strengths

• Factory Pattern: Excellent implementation in EmbeddingFactory, ChunkingFactory
• Rate Limiting: Intelligent rate limiter for Groq API
• Modular Design: Clear separation of concerns
• Configuration: Type-safe settings with Pydantic

⚠️ Areas for Improvement

• Add structured logging instead of print() statements
• Replace broad except: with specific exceptions
• Add comprehensive type hints to all functions
• Create constants/configuration for magic numbers
• Add input validation to public methods

Files Not Moved (Why)

Recovery Scripts remain in main directory because they are:

• Critical for database maintenance (rebuild_*.py, recover_*.py)
• Required troubleshooting tools
• Part of system reliability

Test Scripts remain in main directory because they are:

• Used for validation and quality assurance
• Important for development workflow
• Not "unused" - they serve testing purposes

Next Actions

1. Review CODE_REVIEW_REPORT.md for detailed recommendations
2. Consider implementing Priority 1 improvements (logging, error handling)
3. Periodically review archived_scripts/ folder
4. Archive can be deleted if files are never referenced again