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Changelog

All notable changes to the GPS Reliability API project are documented in this file.

2025-12-04 - Code Quality & Cleanup

Added

  • Comprehensive Ruff linting configuration with pre-commit hooks
  • Modular training service architecture (4 focused modules)
  • Type hints across worker tasks and authentication modules
  • Prettier configuration for frontend code formatting
  • Organized documentation structure under docs/ directory

Changed

  • Refactored training_service.py (1,123 lines) into modular structure:
    • training/training_service.py - Main orchestration
    • training/lopez_utils.py - López de Prado statistical methods
    • training/feature_analysis.py - Feature importance and drift detection
    • training/visualization.py - SHAP plots and diagnostics
  • Replaced 25+ print statements with appropriate logger calls
  • Fixed critical type hint error in prediction service
  • Reorganized 16 markdown files into categorized docs/ structure

Fixed

  • Type hint error: any → Any in prediction_service.py
  • ESLint error: unescaped apostrophe in monitoring page
  • Missing return type hints in 7+ functions

Improved

  • Code formatting: 35 files reformatted with Ruff
  • Import organization across entire codebase
  • Professional code quality suitable for investor showcase

2025-12-03 - Load Testing & Path A Deployment

Added

  • Comprehensive Locust load testing suite with multiple test scenarios
  • Load testing documentation in LOAD_TESTING.md

Changed

  • Decided on Path A deployment strategy (keep aggressive regularization)
  • Restored hyperparameters for Path A deployment
  • Applied Path B overfitting fixes with aggressive regularization

Technical Details

  • Load testing covers API endpoints, authentication, and rate limiting
  • Performance benchmarks established for production readiness

2025-12-02 - Feature Implementations

Added

  • Monitoring dashboard completed
  • Uncertainty quantification with confidence intervals
  • Production prediction logging
  • Feature drift detection (López de Prado Week 3)

Improved

  • Model interpretability with SHAP analysis
  • Statistical validation with deflated Sharpe ratio
  • Enhanced error handling and logging

2025-12-01 - Overfitting Fixes

Fixed

  • Applied Path B overfitting mitigation strategies
  • Reduced model complexity (RandomForest: max_depth=5, min_samples_split=50)
  • Increased Ridge regularization (alpha=50.0)
  • Implemented SHAP-based feature selection (top 10 features)
  • Added early stopping for RandomForest training

Results

  • Improved generalization performance
  • Better MDA diversity (feature importance)
  • Reduced variance in cross-validation

2025-11-30 - UI/UX Improvements

Added

  • Enhanced landing page with Tailwind CSS and Shadcn UI
  • Dynamic "Live Demo" section with real-time API data
  • Integrated pricing tiers display
  • "Get API Key" beta access flow

Improved

  • User experience across dashboard and public pages
  • Responsive design for mobile devices
  • Loading states and error handling

2025-11-28 - Project Pivot Complete

Changed

  • Project pivoted from Sun2BTC to GPS Reliability API
  • Rejected Bitcoin prediction hypothesis (p=1.0)
  • Focused on validated GPS reliability prediction (AUC ~0.85)

Added

  • Complete business guide and competitive analysis
  • Monetization strategies for API subscription model
  • Market analysis confirming zero direct competitors

Earlier Changes

For detailed historical changes, see: