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-**Environment Configuration**: Automatic AWS credentials setup and project cloning with dependency installation
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-**Administrator Privileges**: Proper handling of Windows administrator requirements for system-level installations
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-**Error Handling**: Comprehensive error checking and user guidance throughout the setup process
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-**Pattern-2 and Pattern-3 Assessment now generate geometry (bounding boxes) for visualization in UI 'Visual Editor' (parity with Pattern-1)**
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- Added comprehensive spatial localization capabilities to both regular and granular assessment services
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-**Automatic Processing**: When LLM provides bbox coordinates, automatically converts to UI-compatible (Visual Edit) geometry format without any configuration
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-**Universal Support**: Works with all attribute types - simple attributes, nested group attributes (e.g., CompanyAddress.State), and list attributes
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-**Enhanced Prompts**: Updated assessment task prompts with spatial-localization-guidelines requesting bbox coordinates in normalized 0-1000 scale
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-**Demo Notebooks**: Assessment notebooks now showcase automatic bounding box processing
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-**New Python-Based Publishing System**
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- Replaced `publish.sh` bash script with new `publish.py` Python script
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- Rich console interface with progress bars, spinners, and colored output using Rich library
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- Multi-threaded artifact building and uploading for significantly improved performance
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- Native support for Linux, macOS, and Windows environments
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-**Windows Development Environment Setup Guide and Helper Script**
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- New `scripts/dev_setup.bat` (570 lines) for complete Windows development environment configuration
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-**OCR Service Default Image Sizing for Resource Optimization**
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- Implemented automatic default image size limits (951×1268) when no image sizing configuration is provided
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-**Key Benefits**: Reduction in vision model token consumption, prevents OutOfMemory errors during concurrent processing, improves processing speed and reduces bandwidth usage
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### Changed
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-**Publishing Workflow Modernization**
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- Migrated from bash-based to Python-based publishing system for better maintainability and cross-platform support
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- Improved build performance through intelligent caching and concurrent processing
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- Enhanced developer experience with rich console output and clear progress indicators
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- Better error diagnostics and troubleshooting capabilities
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-**Reverted to python3.12 runtime to resolve build package dependency problems**
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### Technical Improvements
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-**Build System Optimization**: Checksum-based incremental builds reduce unnecessary processing time
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-**Memory Management**: Efficient handling of large artifacts and proper resource cleanup
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-**Thread Safety**: Concurrent operations with proper synchronization and error handling
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-**Code Quality**: Comprehensive unit testing ensures reliability and maintainability of the publishing system
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