This PR transforms the AI-Time-Machines repository from a minimal placeholder into a fully functional toolkit that provides both git repository cloning and web scraping capabilities, along with comprehensive educational materials.

🚀 New Features

Repository Cloning Capabilities

• RepositoryCloner class with support for:
  • Cloning repositories with various options (branch, depth, single-branch)
  • Repository metadata extraction and analysis
  • Bulk repository management and listing
  • Automatic cleanup and resource management

Web Scraping Capabilities

• WebScraper class supporting:
  • Static content scraping with requests/BeautifulSoup
  • Dynamic content scraping with Selenium WebDriver
  • CSS selector-based data extraction
  • Multiple output formats (JSON, text)
  • Configurable delays and timeouts for respectful scraping

Command Line Interface

• Full CLI with four main commands:
  • ai-time-machines clone - Clone git repositories
  • ai-time-machines list - List cloned repositories
  • ai-time-machines scrape - Scrape websites
  • ai-time-machines extract - Extract data using CSS selectors

📚 Educational Materials

Comprehensive Documentation

• README.md - Complete project overview with quick start guide
• docs/getting-started.md - Step-by-step installation and usage guide
• docs/api-reference.md - Full API documentation with examples
• docs/architecture.md - Software architecture and design patterns explanation

Practical Examples

• examples/basic_cloning.py - Simple repository cloning demonstration
• examples/basic_scraping.py - Web scraping fundamentals
• examples/advanced_scraping.py - Dynamic content and custom scrapers
• examples/combined_usage.py - Research workflow combining both tools

How the Software is Created

The architecture guide explains:

• Design patterns used (Factory, Template Method, Strategy, Builder)
• Component responsibilities and dependencies
• Error handling and resource management strategies
• Performance and security considerations
• Future enhancement roadmap

🛠 Technical Implementation

Project Structure

ai_time_machines/
├── __init__.py          # Package exports
├── cloning.py           # Git repository management
├── scraping.py          # Web scraping functionality
└── cli.py              # Command-line interface

Key Dependencies

• gitpython for git operations
• requests + beautifulsoup4 for static web scraping
• selenium for dynamic content scraping
• lxml for XML/HTML parsing

Error Handling & Logging

• Comprehensive error handling with meaningful messages
• Configurable logging levels for debugging
• Graceful degradation when network/resources unavailable
• Proper cleanup of git repositories and web drivers

🧪 Testing & Validation

• Basic functionality tests in tests/test_basic.py
• All examples are runnable and serve as integration tests
• CLI commands tested and documented with help text
• Package installation verified with pip install

📝 Usage Examples

Clone a repository:

ai-time-machines clone https://github.com/user/repo.git --branch main --info

Scrape a website:

ai-time-machines scrape https://example.com --output data.json --show-links

Extract specific data:

ai-time-machines extract https://example.com '{"title": "h1", "links": "a"}'

Python API:

from ai_time_machines import RepositoryCloner, WebScraper

cloner = RepositoryCloner()
repo = cloner.clone_repository("https://github.com/user/repo.git")

scraper = WebScraper()
data = scraper.scrape_static_content("https://example.com")

This implementation provides a solid foundation for the AI Time Machines project while maintaining clean, extensible code that can accommodate future enhancements and use cases.

This pull request was created as a result of the following prompt from Copilot chat.

Enhance the repository to include the following features:

1. Cloning and Web Scraping Capabilities:

   • Add functionalities for cloning and web scraping.
   • Ensure proper documentation and examples for using these features.

2. Educational Materials:

   • Provide resources on how the software is created.
   • Include tutorials on how to use the software effectively.

These additions aim to expand the repository's functionality and provide users with comprehensive educational support.

✨ Let Copilot coding agent set things up for you — coding agent works faster and does higher quality work when set up for your repo.

Description by Korbit AI

What change is being made?

Add functionality for data cloning and web scraping, along with integrating educational materials into the codebase.

Why are these changes being made?

These changes aim to enhance the application's capabilities by enabling data acquisition through web scraping and cloning, while also providing educational resources to aid users in understanding and utilizing these new features effectively. This approach provides a more comprehensive user experience by combining practical tools with educational content.

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