3.5 KiB
3.5 KiB
Tools Directory (tools/)
This directory contains Python scripts and utilities for development, data processing, and project maintenance.
Structure
tools/
├── data/ # Data processing and validation
│ ├── __init__.py
│ ├── scraper.py # Web scraping for Pokemon data
│ ├── validator.py # JSON schema validation
│ ├── converter.py # Data format conversion
│ └── generator.py # Code generation from data
├── build/ # Build and deployment tools
│ ├── __init__.py
│ ├── configure.py # Build configuration
│ ├── package.py # Packaging and distribution
│ └── release.py # Release automation
├── analysis/ # Performance and code analysis
│ ├── __init__.py
│ ├── profiler.py # Performance analysis
│ ├── coverage.py # Code coverage reporting
│ └── complexity.py # Code complexity metrics
├── testing/ # Test utilities and generators
│ ├── __init__.py
│ ├── test_generator.py # Generate test cases
│ ├── battle_runner.py # Run battle scenarios
│ └── fuzzer.py # Fuzz testing utilities
├── docs/ # Documentation generation
│ ├── __init__.py
│ ├── api_docs.py # API documentation generator
│ └── readme_gen.py # README generation
├── requirements.txt # Python dependencies
├── setup.py # Tool installation script
└── common/ # Shared utilities
├── __init__.py
├── config.py # Configuration management
├── logging.py # Logging utilities
└── utils.py # Common helper functions
Key Tools
Data Processing (data/)
- scraper.py: Scrape Pokemon data from online sources
- validator.py: Validate JSON data against schemas
- converter.py: Convert between data formats
- generator.py: Generate C++ code from data files
Build Tools (build/)
- configure.py: Configure build environment and dependencies
- package.py: Create distribution packages
- release.py: Automate release process
Analysis Tools (analysis/)
- profiler.py: Analyze benchmark results and generate reports
- coverage.py: Generate code coverage reports
- complexity.py: Measure code complexity and maintainability
Testing Tools (testing/)
- test_generator.py: Generate comprehensive test cases
- battle_runner.py: Run and analyze battle scenarios
- fuzzer.py: Fuzz testing for robustness
Setup
cd tools
pip install -r requirements.txt
pip install -e . # Install tools package in development mode
Usage Examples
# Validate all data files
python -m tools.data.validator
# Generate C++ headers from JSON data
python -m tools.data.generator --output ../include/pokemon_sim/data/
# Run performance analysis
python -m tools.analysis.profiler --benchmark-results ../benchmarks/results/
# Generate test battles
python -m tools.testing.battle_runner --count 1000 --output test_battles.json
Development Guidelines
- Python 3.8+: Minimum Python version
- Type Hints: Use type annotations for all functions
- Documentation: Docstrings for all public functions
- Error Handling: Robust error handling and logging
- Testing: Unit tests for all tools