🏗️ Technical: Architecture improvements for multi-format support

[hddevteam]

[TASK] Architecture Improvements and Modular Converter System

📋 Development Task

Task Description

Refactor the existing converter architecture to support a modular, extensible system that can easily accommodate new document formats and export options.

Acceptance Criteria

• Create abstract base converter class with common functionality
• Implement converter registry pattern for dynamic format support
• Add comprehensive logging and error tracking system
• Optimize memory usage for large document processing
• Create plugin-style architecture for new converters
• Implement converter configuration management
• Add converter discovery and validation
• Create unified progress tracking system

Technical Requirements

• Refactor existing converters to inherit from base class
• Implement dependency injection for converter services
• Add structured logging with different log levels
• Create converter metadata system (supported formats, capabilities)
• Implement memory-efficient streaming for large files
• Add converter performance monitoring

Implementation Notes

1. Base Converter Architecture:

   abstract class BaseConverter {
     abstract supportedFormats: string[];
     abstract outputFormats: string[];
     abstract convert(input: ConversionInput): Promise<ConversionResult>;
     
     protected validateInput(input: ConversionInput): ValidationResult;
     protected trackProgress(progress: ProgressInfo): void;
     protected handleError(error: Error): void;
   }

2. Converter Registry:

   class ConverterRegistry {
     registerConverter(converter: BaseConverter): void;
     getConverter(inputFormat: string, outputFormat: string): BaseConverter;
     getSupportedFormats(): FormatInfo[];
   }

3. Logging System:

   • Structured logging with winston or similar
   • Log levels: ERROR, WARN, INFO, DEBUG
   • Performance metrics collection
   • Error aggregation and reporting

4. Memory Optimization:

   • Stream-based processing for large files
   • Chunk-based conversion for massive documents
   • Memory usage monitoring and limits
   • Garbage collection optimization

Testing Requirements

• Unit tests for base converter functionality
• Integration tests for converter registry
• Performance regression tests
• Memory usage benchmarks
• Error handling and recovery tests

Dependencies

• Logging library (winston, bunyan)
• Performance monitoring utilities
• Memory profiling tools
• Stream processing libraries

Related Issues

• Foundation for all new converter implementations
• Required before adding PowerPoint support
• Will improve existing Word/Excel/PDF converters

Estimated Effort

• 1-2 weeks
• 2+ weeks

Breakdown:

• Architecture design and planning: 2-3 days
• Base converter implementation: 3-4 days
• Registry and plugin system: 2-3 days
• Logging and monitoring: 2-3 days
• Testing and migration: 2-3 days

Priority Level

• Critical
• High
• Medium
• Low

Labels

enhancement, architecture, development, v0.2.0, refactoring, infrastructure