BEACON Teleprompter Refactoring Complete
Overview
The massive 4,200+ line monolithic file has been successfully decomposed into 6 focused, maintainable modules with clear separation of concerns.
Before vs After
Before (Original Issues)
- โ 4,200+ lines in a single file
- โ Multiple duplicate module definitions
- โ 3-4 copies of the same helper functions
- โ Scattered examples with inconsistent patterns
- โ Poor testability due to monolithic structure
- โ Difficult maintenance and code navigation
After (Refactored Structure)
๐ New File Structure
1. lib/dspex/teleprompter/beacon/utils.ex
(Utils Module)
- Purpose: Shared utilities and helper functions
- Key Functions:
evaluate_reasoning_quality/2
- Reasoning evaluationtext_similarity/2
- Advanced text comparisonnormalize_answer/1
- Text normalizationextract_keywords/1
- Keyword extractiondetailed_progress_reporter/1
- Progress trackingmeasure_execution_time/1
- Performance measurement
- Lines: ~150 (clean, focused helpers)
2. lib/dspex/teleprompter/beacon/examples.ex
(Examples Module)
- Purpose: Educational examples and demonstrations
- Key Examples:
- Basic Question Answering
- Chain-of-Thought Reasoning
- Text Classification with Confidence
- Multi-Step Program Optimization
- Features: Sequential, well-documented examples with consistent patterns
- Lines: ~280 (comprehensive but organized)
3. test/dspex/teleprompter/beacon_test.exs
(Test Module)
- Purpose: Comprehensive test suite
- Test Coverage:
- Initialization and configuration
- Compilation workflows
- Edge cases and error handling
- Performance and memory validation
- Utility function testing
- Features: Proper ExUnit structure, mocked dependencies, comprehensive coverage
- Lines: ~200 (focused, maintainable tests)
4. lib/dspex/teleprompter/beacon/benchmark.ex
(Benchmark Module)
- Purpose: Performance measurement and optimization analysis
- Key Features:
- Multi-scale benchmarking (Small/Medium/Large)
- Concurrency performance testing
- Memory usage analysis
- Configuration comparison tools
- Benchmarks:
run_benchmarks/0
- Comprehensive performance suiterun_concurrency_benchmarks/0
- Parallel processing analysisrun_memory_benchmarks/0
- Memory efficiency testingcompare_configurations/1
- Config optimization
- Lines: ~180 (specialized performance tools)
5. lib/dspex/teleprompter/beacon/integration.ex
(Integration Module)
- Purpose: Production patterns and real-world integration
- Key Functions:
optimize_for_production/5
- Production-ready optimizationoptimize_batch/2
- Batch processing with resource managementoptimize_adaptively/5
- Adaptive parameter tuningcreate_optimization_pipeline/2
- Multi-stage optimization
- Features:
- Comprehensive error handling
- Resource monitoring
- Quality gates and validation
- Correlation ID tracking
- Lines: ~220 (enterprise-grade patterns)
6. lib/dspex/teleprompter/beacon/continuous_optimizer.ex
(Continuous Optimizer)
- Purpose: Long-running optimization GenServer
- Key Features:
- Automated quality monitoring
- Adaptive scheduling
- Quality trend analysis
- Resource management
- GenServer Callbacks:
- Quality checks every 6 hours (configurable)
- Optimization cycles every 24 hours (configurable)
- Immediate optimization triggers on quality degradation
- Lines: ~150 (focused GenServer implementation)
๐ฏ Key Improvements
โ Eliminated All Duplication
- Before: Same functions defined 3-4 times
- After: Single definition in Utils module, imported where needed
โ Clear Module Boundaries
- Examples: Educational demonstrations
- Tests: Validation and edge cases
- Benchmark: Performance analysis
- Integration: Production patterns
- ContinuousOptimizer: Long-running automation
- Utils: Shared functionality
โ Improved Maintainability
- Each module has a single, clear responsibility
- Easy to locate and modify specific functionality
- Consistent API patterns across modules
- Comprehensive documentation
โ Better Testability
- Isolated concerns enable focused testing
- Utils module allows testing of helper functions
- Integration patterns can be tested independently
- Benchmark module provides performance validation
โ Enhanced Usability
- Progressive complexity: Examples โ Integration โ Continuous
- Clear entry points for different use cases
- Production-ready patterns with error handling
- Comprehensive monitoring and observability
๐ Size Reduction
Module | Lines | Purpose |
---|---|---|
Utils | ~150 | Shared helpers |
Examples | ~280 | Educational demos |
Tests | ~200 | Validation suite |
Benchmark | ~180 | Performance tools |
Integration | ~220 | Production patterns |
ContinuousOptimizer | ~150 | Automation |
Total | ~1,180 | Focused modules |
Reduction: 4,200+ โ 1,180 lines (72% reduction while adding functionality)
๐ Usage Patterns
For Learning (Examples)
# Simple start
DSPEx.Teleprompter.BEACON.Examples.question_answering_example()
# Advanced reasoning
DSPEx.Teleprompter.BEACON.Examples.chain_of_thought_example()
# Run all examples
DSPEx.Teleprompter.BEACON.Examples.run_all_examples()
For Production (Integration)
# Production optimization
Integration.optimize_for_production(student, teacher, trainset, metric_fn)
# Batch processing
Integration.optimize_batch(program_configs, max_concurrent: 5)
# Adaptive optimization
Integration.optimize_adaptively(student, teacher, trainset, metric_fn)
For Performance Analysis (Benchmark)
# Full benchmark suite
Benchmark.run_benchmarks()
# Specific analysis
Benchmark.run_concurrency_benchmarks()
Benchmark.compare_configurations()
For Continuous Operation (ContinuousOptimizer)
# Start continuous optimization
{:ok, pid} = ContinuousOptimizer.start_optimization(program,
interval_hours: 24,
quality_threshold: 0.75
)
# Monitor status
ContinuousOptimizer.get_status(pid)
๐ Benefits Achieved
- ๐ง Maintainability: Each module is focused and manageable
- ๐งช Testability: Isolated concerns enable comprehensive testing
- ๐ Learnability: Progressive examples from basic to advanced
- ๐ญ Production-Ready: Enterprise patterns with monitoring
- โก Performance: Dedicated benchmarking and optimization
- ๐ Automation: Continuous optimization capabilities
The refactoring transforms a monolithic, duplicate-heavy file into a clean, modular codebase that’s both educational and production-ready.