ai_qc/CLEANUP_SUMMARY.md

Visual AI QC Application Cleanup Summary

🧹 Cleanup Completed - August 5, 2025

📁 Files and Directories Removed

Outdated Documentation

• ✅ TRIAGE_SYSTEM_README.md - Triage system documentation (functionality removed)
• ✅ TESTING_GUIDE.md - Testing guide (redundant)
• ✅ API_README.md - API documentation (consolidated into main README)
• ✅ ENVIRONMENT_SETUP_GUIDE.md - Environment setup guide (info in main README)

Unused Script Files

• ✅ run_api_server.py - Duplicate of api_server.py
• ✅ run_api_server.sh - Redundant shell script
• ✅ restart_api_server.sh - Redundant restart script
• ✅ start_api.sh - Redundant start script
• ✅ setup_environment.sh - Manual setup script (not needed)

Triage-Related Files (Triage functionality removed)

• ✅ profiles/diageo_triage.json - Diageo triage profile
• ✅ profiles/general_triage.json - General triage profile
• ✅ profiles/unilever_triage.json - Unilever triage profile
• ✅ visual_qc_apps/file_type_triage/ - File type triage QC app directory

Temporary/Test Files

• ✅ debug_mode.txt - Debug output file
• ✅ additional_requirements.txt - Redundant requirements (merged into main)
• ✅ profiles/test.json - Test profile
• ✅ test_images/ - Test images directory
• ✅ processed/ - Empty processed directory
• ✅ database/ - Old database directory (file moved to brand_guidelines)

Old Session Data

• ✅ Multiple old upload session directories from August 4-5
• ✅ Multiple old output files (keeping recent ones)

Unused Code Files

• ✅ visual_qc_apps/all_services.py - Unused service aggregator

🔧 Code Cleanup

Deprecated Function Updates

• ✅ get_reference_image_path() - Simplified to return None (functionality replaced by reference assets)
• ✅ Removed triage reference from QC_CHECKS fallback list in profile_config.py

File Relocations

• ✅ Moved database/Hellmanns_BrandOnePager.png to brand_guidelines/files/ where it belongs

📊 Cleanup Statistics

Files Removed: 15+ documentation and script files Directories Removed: 6 directories (including triage apps and temp folders) Session Data Cleaned: 20+ old upload sessions and output files Code Simplified: 2 functions updated/simplified

✅ What Remains (Clean & Functional)

Core Application Files

• api_server.py - Main Flask application
• web_ui.html - Web interface
• profile_config.py - Profile management
• brand_guidelines_db.py - Reference asset management
• llm_config.py - LLM configuration

Configuration

• config.env - Environment configuration
• requirements.txt - Python dependencies

Documentation

• README.md - Comprehensive documentation

Active Profiles (Triage removed)

• default.json - All checks profile
• general_key_visual.json - General key visual
• general_packaging.json - General packaging
• diageo_key_visual.json - Diageo key visual (normalized to 100 points)
• diageo_packaging.json - Diageo packaging (normalized to 100 points)
• unilever_key_visual.json - Unilever key visual (120 points)
• unilever_packaging.json - Unilever packaging
• inclusive_accessibility.json - Accessibility profile

QC Applications (30+ checks)

• All functional QC check applications in visual_qc_apps/
• Reference asset integration working
• Consumer-focused analysis instructions active

Working Directories

• brand_guidelines/ - Reference assets with 3 active files
• uploads/ - Recent upload sessions (cleaned)
• output/ - Recent analysis reports (cleaned)
• profiles/ - Active profile configurations
• visual_qc_apps/ - QC check applications

🎯 Benefits of Cleanup

1. Reduced Confusion: No more outdated documentation or redundant files
2. Cleaner Structure: Clear separation of active vs deprecated functionality
3. Smaller Footprint: Removed unused code and temporary files
4. Better Maintenance: Easier to navigate and understand codebase
5. Consistent Functionality: Only working, tested features remain

🚀 Current State

The Visual AI QC application is now in a clean, production-ready state with:

• ✅ Streamlined analysis workflow (triage removed)
• ✅ Functional reference asset integration
• ✅ Consumer-focused analysis instructions
• ✅ Normalized scoring (all profiles score out of 100 except Unilever at 120)
• ✅ Clean file structure with no deprecated components
• ✅ Comprehensive documentation in single README

Application is ready for production use! 🎉