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…PA data processing - Introduced a structured error handling system with detailed error classes for various processing stages - Added `ErrorAccumulator` to collect and manage errors during data processing - Implemented context-based error collection with support for markdown artifact generation - Enhanced error handling in preprocessing, category mapping, and data validation flows - Added comprehensive error types covering input validation, data processing, and category mapping scenarios - Improved error traceability with detailed context and responsibility attribution - Updated existing modules to leverage the new error handling system
…gentina flows - Introduce comprehensive error context management with `context.py` and `context_helper.py` - Implement flexible error context tracking using `ContextProperty` descriptor - Update error classes to leverage global error context for more dynamic error reporting - Refactor error accumulation to support more granular and context-aware error handling - Improve error traceability by adding context attributes like `store_id`, `date`, and `file_key` - Simplify error creation and reduce redundant context parameters - Add support for concurrent error context isolation
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