A comprehensive software project with professional documentation.

• Overview
• Features
• Installation
• Quick Start
• Usage
• Configuration
• API Reference
• Development
• Contributing
• License
• Support

search_files_for_a_string.py is a simple Python utility that recursively searches all files under the current working directory for a user-provided search term. It preserves leading and trailing spaces in the search term and writes the paths of all matching files to a results file. This tool is useful when you need to:

✅ Core Functionality - Complete implementation with main entry points ✅ Documentation - Comprehensive project documentation ✅ Python Implementation - Robust Python codebase

• Python 3.8+ (if applicable)
• Required dependencies listed in requirements.txt

# Clone the repository
git clone https://github.com/mylegitches/search-files-for-a-string.git
cd search-files-for-a-string

# Install dependencies
pip install -r requirements.txt

# Run the application
python main.py

1. Install Dependencies

   pip install -r requirements.txt

2. Run Application

   python main.py

3. Follow On-screen Instructions The application will guide you through the initial setup and configuration.

# Basic command
python main.py --help

# Run with configuration
python main.py --config config.json

# Basic usage
python search_files_for_a_string.py

# With options
python search_files_for_a_string.py --verbose --output results.txt

# Configuration mode
python search_files_for_a_string.py --config custom_config.json

from search_files_for_a_string import main

# Basic usage
result = main.run()

# Advanced usage with configuration
config = {
    "option1": "value1",
    "option2": "value2"
}
result = main.run(config)

The application uses JSON configuration files for customization:

{
  "debug": false,
  "output_dir": "./output",
  "log_level": "INFO",
  "custom_settings": {
    "option1": "value1",
    "option2": "value2"
  }
}

# Set environment variables
export APP_DEBUG=true
export APP_OUTPUT_DIR=./custom_output
export APP_LOG_LEVEL=DEBUG

• --config FILE: Specify configuration file
• --debug: Enable debug mode
• --verbose: Verbose output
• --help: Show help message

Main entry point for the application.

Parameters:

• config (dict, optional): Configuration dictionary

Returns:

• Result object with execution status

Initialize the application and load configurations.

Returns:

• Boolean indicating successful initialization

Main application class handling core functionality.

Methods:

• run(): Execute main application logic
• configure(config): Apply configuration settings
• cleanup(): Clean up resources

# Clone repository
git clone https://github.com/mylegitches/search-files-for-a-string.git
cd search-files-for-a-string

# Create virtual environment
python -m venv venv
source venv/bin/activate  # Linux/Mac
# venv\Scripts\activate   # Windows

# Install development dependencies
pip install -r requirements-dev.txt

# Run tests
python -m pytest tests/

# Run linter
flake8 search-files-for-a-string/

search-files-for-a-string/
├── main.py              # Main application entry point
├── core/               # Core functionality modules
├── tests/              # Test files
├── docs/               # Documentation
├── requirements.txt    # Python dependencies
└── README.md          # This file

• Follow PEP 8 Python style guidelines
• Use type hints for function parameters
• Write comprehensive docstrings
• Add unit tests for all modules
• Keep functions focused and single-purpose

1. Fork the repository
2. Create a feature branch: git checkout -b feature/new-feature
3. Make your changes and add tests
4. Run the test suite: python -m pytest tests/
5. Commit your changes: git commit -m "Add new feature"
6. Push to your branch: git push origin feature/new-feature
7. Create a Pull Request

• Write clear, concise commit messages
• Add tests for new functionality
• Update documentation for API changes
• Follow the existing code style
• Ensure all tests pass before submitting

1. Automated tests must pass
2. Code follows project style guidelines
3. Documentation is updated
4. Changes are reviewed by maintainers
5. Approved changes are merged

When reporting bugs, please include:

• Python version and OS
• Steps to reproduce the issue
• Expected vs actual behavior
• Error messages and stack traces
• Code snippets if applicable

1. Check the documentation above
2. Review existing issues on GitHub
3. Search the wiki for common solutions
4. Create a new issue if needed

• README.md: Main documentation (this file)
• docs/: Additional documentation files
• tests/: Usage examples and test cases
• GitHub Wiki: Extended guides and tutorials

• GitHub Issues: Bug reports and feature requests
• GitHub Discussions: General questions and community help
• Project Wiki: Detailed tutorials and advanced usage

For enterprise support and custom development:

• Contact the project maintainers
• Check for commercial support options
• Review service level agreements

Generated on 2025-09-04

This README was automatically enhanced to provide comprehensive documentation and professional presentation.