# Python Package Creation Summary

## Overview

Your codebase has been successfully set up as a Python package named **`sheep-herding-rl`**. This document provides a summary of all the files created and next steps.

## Files Created

### Core Package Files

1. **`setup.py`** - Traditional Python package setup file
   - Package metadata and dependencies
   - Entry points and classifiers
   - Compatible with older Python tooling

2. **`pyproject.toml`** - Modern Python package configuration
   - PEP 517/518 compliant
   - Build system requirements
   - Tool configurations (black, pytest, mypy)

3. **`__init__.py`** - Main package initialization
   - Version information
   - Exports key classes and modules
   - Makes imports easier for users

4. **`MANIFEST.in`** - Package data inclusion rules
   - Specifies which non-Python files to include
   - Excludes cache and compiled files

### Documentation Files

5. **`README.md`** - Main package documentation
   - Project description and features
   - Installation instructions
   - Quick start guide
   - Project structure overview

6. **`LICENSE`** - MIT License
   - Standard MIT license text
   - Allows free use, modification, and distribution

7. **`INSTALL.md`** - Detailed installation guide
   - Multiple installation methods
   - GPU support instructions
   - Troubleshooting tips

8. **`USAGE.md`** - Usage examples
   - Basic usage patterns
   - Training examples for PPO, SAC, TD3
   - Custom agent creation
   - Evaluation examples

9. **`BUILD.md`** - Build and publishing guide
   - How to build the package
   - Publishing to PyPI/TestPyPI
   - CI/CD setup
   - Version management

### Utility Files

10. **`build_package.py`** - Automated build script
    - Cleans old artifacts
    - Installs build tools
    - Builds distributions
    - Validates package

## Package Structure

```
sheep-herding-rl/
├── setup.py                 # Package setup (traditional)
├── pyproject.toml          # Package setup (modern)
├── __init__.py             # Package initialization
├── MANIFEST.in             # Package data rules
├── README.md               # Main documentation
├── LICENSE                 # MIT License
├── INSTALL.md             # Installation guide
├── USAGE.md               # Usage examples
├── BUILD.md               # Build/publish guide
├── build_package.py       # Build automation script
├── requirements.txt       # Dependencies
├── config.py              # Configuration
├── simulator.py           # Main simulator
├── actions.py             # Action definitions
├── agents/                # Agent base classes
├── algorithms/            # RL algorithms (PPO, SAC, TD3)
├── sim/                   # Simulation environment
├── trainers/              # Training utilities
└── utils/                 # Helper utilities
```

## Quick Start Commands

### Install the Package Locally

```bash
# In development mode (editable)
pip install -e .

# With development dependencies
pip install -e ".[dev]"
```

### Build Distribution Files

```bash
# Using the build script
python build_package.py

# Or manually
python -m pip install build
python -m build
```

### Test the Package

```bash
# Test import
python -c "import sheep_herding_rl; print(sheep_herding_rl.__version__)"

# Test functionality
python -c "from sheep_herding_rl import Simulator; sim = Simulator(); print('Success!')"
```

### Publish to PyPI

```bash
# Install twine
pip install twine

# Upload to TestPyPI (test first!)
twine upload --repository testpypi dist/*

# Upload to PyPI (production)
twine upload dist/*
```

## Using the Package

After installation, users can import and use your package:

```python
# Import the package
import sheep_herding_rl
from sheep_herding_rl import Simulator, PPOAgent, SACAgent, TD3Agent

# Create a simulator
sim = Simulator()

# Create an agent
agent = PPOAgent(obs_dim, action_dim, metadata_dim)

# Use in your code
observation = sim.get_dog_observation()
action = agent.select_action(observation)
sim.step(action, [0, 0])
```

## Next Steps

1. **Update Author Information**
   - Edit `setup.py`, `pyproject.toml`, and `__init__.py`
   - Replace "ferip" and ""

2. **Test Locally**
   ```bash
   pip install -e .
   python -c "from sheep_herding_rl import Simulator; print('Works!')"
   ```

3. **Build the Package**
   ```bash
   python build_package.py
   ```

4. **Test on TestPyPI**
   ```bash
   twine upload --repository testpypi dist/*
   pip install --index-url https://test.pypi.org/simple/ sheep-herding-rl
   ```

5. **Publish to PyPI**
   ```bash
   twine upload dist/*
   ```

6. **Create GitHub Release**
   - Tag the version: `git tag v1.0`
   - Push tag: `git push origin v1.0`
   - Create release on GitHub

7. **Set Up CI/CD** (Optional)
   - Add GitHub Actions workflows
   - Automate testing and building
   - Auto-publish on releases

## Features of This Package

✅ **Standard Compliant** - Follows PEP 517/518
✅ **Both Setup Methods** - `setup.py` and `pyproject.toml`
✅ **Comprehensive Docs** - README, INSTALL, USAGE, BUILD guides
✅ **Proper Licensing** - MIT License included
✅ **Easy Installation** - Works with `pip install`
✅ **Development Mode** - Supports `pip install -e .`
✅ **Build Automation** - Includes build script
✅ **PyPI Ready** - Ready to publish
✅ **Clean Structure** - Proper package organization
✅ **Type Hints Support** - Configured for mypy

## Important Notes

- **Dependencies**: PyTorch with CUDA support requires special installation
- **GPU**: Users need CUDA-capable GPU for GPU acceleration
- **Python Version**: Requires Python 3.8 or higher
- **Namespace**: Package name uses hyphens (`sheep-herding-rl`), import uses underscores (`sheep_herding_rl`)

## Customization

Feel free to customize:
- Package name in `setup.py` and `pyproject.toml`
- Author information
- License (if not MIT)
- Dependencies list
- Python version requirements
- Classifiers and keywords

## Support

For issues or questions:
- GitHub Issues: https://github.com/dzijo/ferit-hackathon/issues
- Update contact information in package files

## Versioning

Current version: **1.0** (Alpha)

Follow Semantic Versioning:
- `1.0` → Initial alpha release
- `0.2.0` → New features
- `1.0.0` → First stable release
- `1.1.0` → Minor updates
- `2.0.0` → Breaking changes

---

**Congratulations! Your codebase is now a proper Python package! 🎉**
