TODO.md

RegexGenerator TODO

Implementation roadmap organized by phases and priorities.

Phase 1: MVP Implementation (Python 3.11+)

Project Setup ✅ COMPLETED

• Python Environment Setup
  • Create pyproject.toml with dependencies (click, rich, numpy, scipy, regex)
  • Set up src/regexgen package structure
  • Configure pytest, mypy, black, flake8
  • Set up GitHub Actions CI/CD
  • Create requirements.txt and dev-requirements.txt

Core Algorithm ✅ COMPLETED

• Simulated Annealing Engine (regexgen/algorithms/)

  • Complete SA algorithm with configurable cooling schedules
  • Pattern mutation operators using regex AST (7 different mutations)
  • Temperature scheduling (linear, exponential, logarithmic, adaptive)
  • Convergence criteria and early stopping
  • Multi-criteria fitness scoring system

• Pattern Generation Components (regexgen/patterns/) ✅ COMPLETED

  • Regex AST representation using Python classes/dataclasses
  • Character class optimization ([abc] vs [a-c])
  • Quantifier optimization (*, +, {n,m})
  • Group and alternation handling
  • Complexity calculation with type hints

• Pattern Validation (regexgen/validation/) ✅ COMPLETED

  • Regex compilation with re module
  • Positive example matching verification
  • Negative example rejection verification
  • Performance validation using timeout mechanisms
  • Safety analysis for catastrophic backtracking detection

CLI Interface ✅ COMPLETED

• Click-based Argument Parsing (regexgen/cli/)

  • Positional arguments for positive examples with Click
  • -n, --negative option for negative examples
  • -f, --file for input file processing with pathlib
  • --negative-file for negative examples file
  • Rich-formatted help text and usage examples

• Configuration with Dataclasses

  • --algorithm choice (sa, ga) with enum - default: sa
  • --max-complexity int - limit pattern complexity
  • --max-iterations int - algorithm iteration limit
  • --timeout duration parsing - time-based limits
  • --scoring choice (minimal, readable, balanced) with enum
  • --seed int - randomness seed for reproducibility

• Rich Output Formatting

  • Default: clean regex to stdout
  • --json - structured output with json module
  • --verbose - rich progress bars and debug info
  • --test - formatted validation results with rich tables
  • Proper exit codes (0=success, 1=failure, 2=timeout)

Input/Output (MEDIUM PRIORITY)

• File Processing with Pathlib

  • Read positive examples from text file (one per line) with proper encoding
  • Read negative examples from text file with error handling
  • Input validation with Pydantic or dataclasses
  • Unicode and encoding handling with UTF-8 default

• Output Formats with Rich

  • Clean regex string output to stdout
  • JSON format with metadata using json/dataclasses
  • Rich-formatted validation report with tables
  • Structured error messages with rich.console

Testing Infrastructure (HIGH PRIORITY)

• Pytest Unit Tests

  • Simulated annealing algorithm tests with fixtures
  • Pattern mutation operator tests with parametrize
  • Scoring function tests with property-based testing (hypothesis)
  • Click CLI argument parsing tests with CliRunner

• Integration Tests with Pytest

  • End-to-end CLI tests using subprocess/CliRunner
  • File input/output tests with temporary files
  • Example scenario tests (emails, phone numbers, etc.)
  • Performance regression tests with pytest-benchmark

Phase 2: Enhanced Features

Algorithm Enhancements (MEDIUM PRIORITY)

• Genetic Algorithm Implementation

  • Population-based evolution
  • Crossover operators for regex patterns
  • Multi-objective optimization (size vs readability)
  • Parallel evaluation

• Advanced Scoring Functions

  • Readability metrics (nesting depth, complexity)
  • Performance estimation (backtracking analysis)
  • User-defined scoring weights
  • Multi-criteria optimization

• Regex Dialect Support

  • PCRE compatibility mode
  • ECMAScript/JavaScript mode
  • Python re module mode
  • Cross-dialect pattern translation

Advanced CLI Features (MEDIUM PRIORITY)

• Configuration Management

  • Config file support (.regexgenrc)
  • Environment variable configuration
  • Profile-based settings (quick, thorough, minimal)

• Enhanced Output

  • Progress indicators for long-running generation
  • Multiple candidate solutions
  • Pattern explanation and breakdown
  • Performance metrics reporting

Quality Improvements (MEDIUM PRIORITY)

• Pattern Quality

  • Avoid catastrophic backtracking patterns
  • Optimize character classes and quantifiers
  • Detect and simplify redundant constructs
  • Generate human-readable pattern names

• Error Handling

  • Graceful handling of impossible constraints
  • Timeout and resource limit handling
  • Detailed error messages with suggestions
  • Recovery strategies for partial solutions

Phase 3: Advanced Features

Interactive Features (LOW PRIORITY)

• REPL Mode

  • Interactive pattern refinement
  • Live example testing
  • Incremental positive/negative example addition
  • Pattern visualization in terminal

• Pattern Explanation

  • Human-readable pattern descriptions
  • Visual pattern structure diagrams
  • Example coverage analysis
  • Performance characteristics explanation

Integration Features (LOW PRIORITY)

• Web API Service

  • REST API for pattern generation
  • Web UI for interactive generation
  • API documentation and examples
  • Rate limiting and resource management

• CI/CD Integration

  • Batch processing multiple example sets
  • GitHub Actions integration
  • Pattern validation in CI pipelines
  • Regression testing for pattern changes

Advanced Algorithms (LOW PRIORITY)

• Machine Learning Integration

  • Pre-trained pattern suggestion models
  • Learning from user feedback
  • Domain-specific pattern templates
  • Hybrid ML + search approach

• Performance Optimizations

  • Parallel algorithm execution
  • Pattern caching and memoization
  • Incremental pattern refinement
  • Memory-efficient implementations

Development Infrastructure

Project Setup (HIGH PRIORITY)

• Language and Framework Selection

  • Choose implementation language (Python/Go/Rust)
  • Set up project structure and build system
  • Configure linting and formatting tools
  • Set up continuous integration

• Documentation

  • API documentation generation
  • Example gallery and tutorials
  • Algorithm explanation documentation
  • Contributing guidelines

Quality Assurance (MEDIUM PRIORITY)

• Code Quality

  • Static analysis setup
  • Code coverage reporting
  • Performance benchmarking
  • Security analysis

• Release Management

  • Version tagging and changelog
  • Binary distribution setup
  • Package manager integration
  • Installation documentation

Research and Exploration

Algorithm Research (LOW PRIORITY)

• Alternative Algorithms

  • Beam search implementation
  • GRASP (Greedy Randomized Adaptive Search)
  • Particle swarm optimization
  • Hybrid approaches

• Pattern Analysis

  • Common pattern template library
  • Pattern complexity metrics research
  • Readability quantification methods
  • Performance prediction models

Future Extensions (BRAINSTORM)

• Advanced Pattern Features

  • Lookahead/lookbehind generation
  • Named capture group optimization
  • Conditional patterns
  • Atomic groups for performance

• Domain-Specific Features

  • Email pattern specialization
  • URL/URI pattern generation
  • Phone number internationalization
  • Date/time format patterns

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Notes

• Items marked with HIGH PRIORITY are essential for MVP
• MEDIUM PRIORITY items enhance usability and robustness
• LOW PRIORITY items are nice-to-have features for later versions
• Research items are for exploration and future development

Update this TODO as implementation progresses and requirements evolve.