# ADRI Technical Debt Refactoring Roadmap

## Overview
This document tracks the systematic refactoring of the ADRI framework to eliminate technical debt, improve maintainability, and establish clean architectural patterns. The refactoring follows a 7-phase approach over 14 weeks while maintaining full functionality.

## Current State Analysis
- **cli.py**: 2,361+ lines (monolithic command handling)
- **validator/engine.py**: 1,857+ lines (mixed validation concerns)
- **analysis/standard_generator.py**: 1,183+ lines (complex generation logic)
- **Technical Debt**: Extensive fallback imports, mixed concerns, large functions

## Implementation Progress

### Phase 1: Core Infrastructure (Weeks 1-2)
- [ ] Create core protocol definitions and interfaces
  - [ ] Define ValidationRule protocol in `src/adri/core/protocols.py`
  - [ ] Define DimensionAssessor base class in `src/adri/core/protocols.py`
  - [ ] Define Command protocol for CLI operations in `src/adri/core/protocols.py`
  - [ ] Create custom exception hierarchy in `src/adri/core/exceptions.py`
- [ ] Implement configuration management system
  - [ ] Create InferenceConfig dataclass in `src/adri/core/config.py`
  - [ ] Create ValidationConfig dataclass in `src/adri/core/config.py`
  - [ ] Refactor ConfigurationManager class for centralized config handling
- [ ] Set up component registry architecture
  - [ ] Create ComponentRegistry class in `src/adri/core/registry.py`
  - [ ] Create DimensionRegistry class in `src/adri/core/registry.py`
  - [ ] Create CommandRegistry class in `src/adri/core/registry.py`
- [ ] Create shared utility modules
  - [ ] Extract path utilities to `src/adri/utils/path_utils.py`
  - [ ] Extract validation helpers to `src/adri/utils/validation_helpers.py`
  - [ ] Extract serialization logic to `src/adri/utils/serialization.py`
- [ ] Update tests for core infrastructure
  - [ ] Create `tests/unit/core/test_protocols.py`
  - [ ] Create `tests/unit/core/test_exceptions.py`
  - [ ] Create `tests/unit/core/test_registry.py`

### Phase 2: Dimension Extraction (Weeks 3-4)
- [ ] Extract dimension assessors from ValidationEngine
  - [ ] Create ValidityAssessor class in `src/adri/validator/dimensions/validity.py`
  - [ ] Create CompletenessAssessor class in `src/adri/validator/dimensions/completeness.py`
  - [ ] Create ConsistencyAssessor class in `src/adri/validator/dimensions/consistency.py`
  - [ ] Create FreshnessAssessor class in `src/adri/validator/dimensions/freshness.py`
  - [ ] Create PlausibilityAssessor class in `src/adri/validator/dimensions/plausibility.py`
- [ ] Implement DimensionAssessor base class and registry
  - [ ] Move dimension assessment logic from ValidationEngine to individual assessors
  - [ ] Implement DimensionRegistry for assessor discovery and management
  - [ ] Create assess_dimension() generic function
- [ ] Migrate validation logic to individual dimension modules
  - [ ] Move _assess_validity_with_standard() logic to ValidityAssessor
  - [ ] Move _assess_completeness_with_standard() logic to CompletenessAssessor
  - [ ] Move _assess_consistency_with_standard() logic to ConsistencyAssessor
  - [ ] Move _assess_freshness_with_standard() logic to FreshnessAssessor
  - [ ] Move _assess_plausibility_with_standard() logic to PlausibilityAssessor
- [ ] Update tests for dimension assessors
  - [ ] Create `tests/unit/validator/dimensions/test_validity.py`
  - [ ] Create `tests/unit/validator/dimensions/test_completeness.py`
  - [ ] Create `tests/unit/validator/dimensions/test_consistency.py`
  - [ ] Create `tests/unit/validator/dimensions/test_freshness.py`
  - [ ] Create `tests/unit/validator/dimensions/test_plausibility.py`

### Phase 3: CLI Decomposition (Weeks 5-6)
- [ ] Create command pattern infrastructure
  - [ ] Create Command base class using ABC pattern
  - [ ] Create CommandRegistry for command discovery and execution
  - [ ] Implement command loading and dispatch mechanism
- [ ] Extract individual commands from monolithic cli.py
  - [ ] Create SetupCommand class in `src/adri/cli/commands/setup.py`
  - [ ] Create AssessCommand class in `src/adri/cli/commands/assess.py`
  - [ ] Create GenerateStandardCommand class in `src/adri/cli/commands/generate_standard.py`
  - [ ] Create ListAssessmentsCommand class in `src/adri/cli/commands/list_assessments.py`
  - [ ] Create ViewLogsCommand class in `src/adri/cli/commands/view_logs.py`
  - [ ] Create ConfigCommand class in `src/adri/cli/commands/config.py`
  - [ ] Create ScoringCommand class in `src/adri/cli/commands/scoring.py`
- [ ] Implement CommandRegistry and command discovery
  - [ ] Create create_command_registry() function
  - [ ] Implement dynamic command registration
  - [ ] Add command validation and error handling
- [ ] Update CLI entry point to use new architecture
  - [ ] Refactor cli.py to use command registry (reduce from 2,361 to ~200 lines)
  - [ ] Update click decorators to work with command pattern
  - [ ] Maintain backward compatibility for existing CLI usage
- [ ] Update tests for CLI commands
  - [ ] Create `tests/unit/cli/commands/test_setup.py`
  - [ ] Create `tests/unit/cli/commands/test_assess.py`
  - [ ] Create `tests/unit/cli/commands/test_generate_standard.py`
  - [ ] Update integration tests for new CLI architecture

### Phase 4: Engine Refactoring (Weeks 7-8)
- [ ] Refactor ValidationEngine to use dimension registry
  - [ ] Create ValidationPipeline class for orchestration
  - [ ] Refactor ValidationEngine to coordinate rather than implement
  - [ ] Reduce engine.py from 1,857 to ~400 lines (coordination only)
- [ ] Implement ValidationPipeline for orchestration
  - [ ] Create execute_validation_pipeline() function
  - [ ] Implement pipeline stages: data loading, validation, assessment, reporting
  - [ ] Add error handling and recovery mechanisms
- [ ] Update DataQualityAssessor to use pipeline
  - [ ] Simplify DataQualityAssessor.assess() from 100+ to ~30 lines
  - [ ] Delegate to ValidationPipeline for actual processing
  - [ ] Maintain existing API compatibility
- [ ] Migrate all assessment logic to new architecture
  - [ ] Update result aggregation to use dimension registry
  - [ ] Implement clean separation between coordination and execution
  - [ ] Add performance monitoring and logging
- [ ] Update tests for refactored engine
  - [ ] Create `tests/unit/validator/test_pipeline.py`
  - [ ] Update existing ValidationEngine tests
  - [ ] Create integration tests for end-to-end pipeline

### Phase 5: Standard Generator Refactoring (Weeks 9-10)
- [ ] Break down StandardGenerator into focused classes
  - [ ] Create FieldInferenceEngine class for field-level inference
  - [ ] Create DimensionRequirementsBuilder class for dimension logic
  - [ ] Create StandardBuilder class for YAML construction
  - [ ] Create ExplanationGenerator class for explanations
- [ ] Extract inference logic into separate modules
  - [ ] Move type inference to separate InferenceEngine
  - [ ] Move constraint inference to ConstraintInferenceEngine
  - [ ] Move pattern detection to PatternDetectionEngine
- [ ] Implement new configuration-driven generation
  - [ ] Use InferenceConfig dataclass for all configuration
  - [ ] Implement pluggable inference strategies
  - [ ] Add validation of generated standards
- [ ] Update generation pipeline and tests
  - [ ] Reduce standard_generator.py from 1,183 to ~600 lines
  - [ ] Create clean pipeline for standard generation
  - [ ] Update tests to cover new modular architecture
- [ ] Update tests for standard generator refactoring
  - [ ] Create `tests/unit/analysis/test_field_inference.py`
  - [ ] Create `tests/unit/analysis/test_dimension_builder.py`
  - [ ] Create `tests/unit/analysis/test_standard_builder.py`

### Phase 6: Cleanup and Testing (Weeks 11-12)
- [ ] Remove all legacy code and fallback imports
  - [ ] Eliminate try/except ImportError patterns throughout codebase
  - [ ] Remove all conditional dependency handling
  - [ ] Clean up unused utility functions and classes
- [ ] Eliminate migration compatibility layers
  - [ ] Remove legacy wrapper classes
  - [ ] Remove temporary migration helper functions
  - [ ] Clean up redundant result container classes
- [ ] Comprehensive test suite updates
  - [ ] Break large test files (>1000 lines) into focused modules
  - [ ] Remove all fallback/migration test logic
  - [ ] Add comprehensive integration tests
  - [ ] Implement property-based testing for validation rules
- [ ] Performance testing and optimization
  - [ ] Create performance regression tests
  - [ ] Benchmark critical paths before/after refactoring
  - [ ] Optimize any performance degradations
- [ ] Code quality improvements
  - [ ] Run comprehensive linting and fix all issues
  - [ ] Ensure 100% type hint coverage for new code
  - [ ] Update docstrings for all public APIs

### Phase 7: Documentation and Validation (Weeks 13-14)
- [ ] Update all documentation for new architecture
  - [ ] Update API reference documentation
  - [ ] Update architecture documentation
  - [ ] Update contributor guidelines for new patterns
- [ ] Complete integration testing
  - [ ] End-to-end testing of all CLI commands
  - [ ] Integration testing of validation pipeline
  - [ ] Cross-platform compatibility testing
- [ ] Performance benchmarking
  - [ ] Compare performance metrics before/after refactoring
  - [ ] Ensure no significant performance regressions
  - [ ] Document any performance improvements
- [ ] Final validation and deployment preparation
  - [ ] Complete code review of all changes
  - [ ] Final testing on multiple datasets
  - [ ] Prepare migration guide for users
  - [ ] Tag release and update version numbers

## Key Metrics to Track
- **CLI module size**: 2,361 lines → ~200 lines (91% reduction)
- **Engine module size**: 1,857 lines → ~400 lines (78% reduction)
- **StandardGenerator size**: 1,183 lines → ~600 lines (49% reduction)
- **Test coverage**: Maintain >90% coverage throughout refactoring
- **Performance**: No more than 5% performance degradation
- **API compatibility**: 100% backward compatibility for public APIs

## Risk Mitigation
- All changes maintain existing functionality
- Extensive test coverage prevents regressions
- Incremental approach allows for early detection of issues
- Each phase is independently deployable
- Rollback strategy available for each phase

## Success Criteria
- [ ] All technical debt patterns eliminated
- [ ] Clean architectural boundaries established
- [ ] Maintainable, focused modules created
- [ ] Full test coverage maintained
- [ ] Performance goals met
- [ ] Documentation updated
- [ ] Team ready for ongoing development with new architecture
