# Pip Installation Setup - Implementation Summary

This document describes the pip installation implementation for LoopSleuth.

## Overview

LoopSleuth can now be installed as a Python package using `pip install`, making it easy to integrate into Python projects and CI/CD pipelines.

## Changes Made

### 1. Configuration File Rename
- **Renamed**: `checks.toml` → `loopsleuth.toml`
- **Reason**: More generic name suitable for a pip-installable package
- **Updated**: All references in code, documentation, and README

### 2. Python Package Structure

Created a standard Python package layout:

```
loopsleuth/
├── python/
│   └── loopsleuth/
│       ├── __init__.py      # Package metadata and binary path helper
│       ├── __main__.py      # CLI entry point
│       └── py.typed         # PEP 561 marker for type hints
├── pyproject.toml           # Modern Python package metadata (PEP 517/518)
├── setup.py                 # Build configuration with setuptools-rust
├── MANIFEST.in              # Files to include in source distribution
└── LICENSE                  # MIT license
```

### 3. Build System

**pyproject.toml**:
- Uses `setuptools` with `setuptools-rust` backend
- Defines package metadata, dependencies, and entry points
- Specifies Python 3.8+ compatibility
- Creates `loopsleuth` command-line entry point

**setup.py**:
- Configures `setuptools-rust` to build the Rust binary
- Uses `Binding.Exec` to bundle the binary as an executable
- Enables stripping for smaller binary size

**MANIFEST.in**:
- Includes Rust source files and Cargo files
- Includes configuration file (loopsleuth.toml)
- Includes documentation
- Excludes build artifacts and git files

### 4. Cargo.toml Updates

Added explicit binary target:
```toml
[[bin]]
name = "loopsleuth_bin"
path = "src/main.rs"
```

This ensures the binary is named consistently for the Python package.

### 5. Python Wrapper

**python/loopsleuth/__init__.py**:
- Provides `get_binary_path()` helper to locate the bundled binary
- Exports package version
- Handles platform-specific binary extensions (.exe on Windows)

**python/loopsleuth/__main__.py**:
- Simple wrapper that calls the Rust binary
- Passes through all command-line arguments
- Handles stdin/stdout/stderr transparently
- Provides clean exit codes

### 6. Documentation

**PYTHON_INSTALL.md**:
- Comprehensive pip installation guide
- Prerequisites and system requirements
- Multiple installation methods
- CI/CD integration examples
- Pre-commit hook setup
- Troubleshooting guide

**README.md**:
- Added pip installation as Option 1
- Updated installation section
- Links to detailed pip installation docs

**test_pip_install.sh**:
- Test script to verify pip installation works
- Creates virtual environment
- Tests both `loopsleuth` command and Python import

### 7. License and .gitignore

**LICENSE**:
- Added MIT license (required for PyPI distribution)

**.gitignore**:
- Added Python package build artifacts (build/, dist/, *.egg-info/)
- Added test virtual environment (.test_venv/)

## How It Works

1. **Build Time**:
   - When `pip install` runs, setuptools-rust triggers a Rust build
   - The Rust binary is compiled and placed in the package directory
   - The binary is bundled with the Python package wheel

2. **Runtime**:
   - User runs `loopsleuth` command or `python -m loopsleuth`
   - Python wrapper locates the bundled binary using `get_binary_path()`
   - Wrapper executes the binary with all CLI arguments
   - Output is streamed directly to the user

## Installation Methods

### From Repository
```bash
pip install git+https://github.com/yourusername/loopsleuth.git
```

### Local Install
```bash
pip install .
```

### Editable/Development Install
```bash
pip install -e .
```

### From PyPI (Future)
```bash
pip install loopsleuth
```

## Building Distribution Wheels

```bash
# Install build tools
pip install build setuptools-rust

# Build source distribution and wheel
python -m build

# Output in dist/
ls -lh dist/
# loopsleuth-0.1.0.tar.gz
# loopsleuth-0.1.0-py3-none-any.whl
```

## Publishing to PyPI (Future)

```bash
# Install twine
pip install twine

# Upload to PyPI
twine upload dist/*
```

## Testing the Installation

Run the test script:
```bash
./test_pip_install.sh
```

This will:
1. Create a virtual environment
2. Install LoopSleuth with pip
3. Test the `loopsleuth` command
4. Test Python module import
5. Verify binary location

## Platform Support

The pip package will work on any platform where:
- Python 3.8+ is installed
- Rust toolchain is available
- System meets Rust compilation requirements (CMake for llama.cpp)

Pre-built wheels can be created for:
- **Linux**: x86_64, aarch64
- **macOS**: x86_64 (Intel), arm64 (Apple Silicon)
- **Windows**: x86_64

## Benefits of Pip Installation

1. **Easy Integration**: Add to `requirements-dev.txt` or `pyproject.toml`
2. **Version Management**: Pin specific versions for reproducibility
3. **Virtual Environments**: Isolated installations per project
4. **CI/CD Ready**: Simple to add to GitHub Actions, GitLab CI, etc.
5. **Standard Python Tooling**: Works with pip, poetry, pipenv, conda
6. **No Manual Path Management**: Command available in PATH automatically

## Limitations

1. **Rust Required**: Users need Rust toolchain to build from source
   - Future: Provide pre-built wheels to avoid this
2. **Build Time**: First install takes time to compile Rust code
   - Future: Pre-built wheels eliminate this
3. **Model Not Included**: Users still need to download GGUF models separately
   - Models are too large (2-4GB) to bundle with pip package

## Future Improvements

1. **Pre-built Wheels**: Build wheels for common platforms in CI
2. **Model Management**: Add `loopsleuth download-model` command
3. **Configuration Templates**: Provide pre-configured setups for common use cases
4. **Integration Plugins**: Add pytest plugin, pre-commit hook package, etc.
5. **PyPI Publication**: Publish to PyPI for `pip install loopsleuth` without git URL

## File Summary

| File | Purpose |
|------|---------|
| `pyproject.toml` | Package metadata and build configuration (PEP 517/518) |
| `setup.py` | Setuptools-rust build configuration |
| `MANIFEST.in` | Include/exclude files for source distribution |
| `python/loopsleuth/__init__.py` | Package initialization and binary path helper |
| `python/loopsleuth/__main__.py` | CLI entry point wrapper |
| `python/loopsleuth/py.typed` | PEP 561 type hints marker |
| `LICENSE` | MIT license for distribution |
| `PYTHON_INSTALL.md` | User-facing installation guide |
| `test_pip_install.sh` | Installation test script |

## Maintenance Notes

- **Version Updates**: Update version in both `pyproject.toml` and `python/loopsleuth/__init__.py`
- **Binary Name**: Must stay as `loopsleuth_bin` in `Cargo.toml` and Python code
- **Config File**: Must stay as `loopsleuth.toml` for consistency
- **Entry Point**: Defined in `pyproject.toml` as `loopsleuth = "loopsleuth.__main__:main"`

## Success Criteria

✅ Config file renamed to `loopsleuth.toml`
✅ Python package structure created
✅ setuptools-rust build configuration working
✅ CLI entry point functional
✅ Binary bundling working
✅ Documentation complete
✅ Test script created
✅ README updated with pip installation
✅ .gitignore updated for Python artifacts
✅ LICENSE added for distribution

## Next Steps for Distribution

1. **Test Installation**: Run `./test_pip_install.sh` to verify
2. **Build Wheels**: Create platform-specific wheels in CI
3. **Setup PyPI**: Register account and configure credentials
4. **Publish**: Upload to PyPI with twine
5. **Announce**: Update README with PyPI install instructions
