local-llm-prompt-manager/README.md

# Auto README Generator CLI

[![PyPI Version](https://img.shields.io/pypi/v/auto-readme-cli.svg)](https://pypi.org/project/auto-readme-cli/)
[![Python Versions](https://img.shields.io/pypi/pyversions/auto-readme-cli.svg)](https://pypi.org/project/auto-readme-cli/)
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A powerful CLI tool that automatically generates comprehensive README.md files by analyzing your project structure, dependencies, code patterns, and imports.

## Features

- **Automatic Project Analysis**: Scans directory structure to identify files, folders, and patterns
- **Multi-Language Support**: Supports Python, JavaScript, Go, and Rust projects
- **Dependency Detection**: Parses requirements.txt, package.json, go.mod, and Cargo.toml
- **Code Analysis**: Uses tree-sitter to extract functions, classes, and imports
- **Template-Based Generation**: Creates well-formatted README files using Jinja2 templates
- **Interactive Mode**: Customize your README with interactive prompts
- **GitHub Actions Integration**: Generate workflows for automatic README updates
- **Configuration Files**: Use `.readmerc` files to customize generation behavior

## Installation

### From PyPI

```bash
pip install auto-readme-cli
```

### From Source

```bash
git clone https://github.com/yourusername/auto-readme-cli.git
cd auto-readme-cli
pip install -e .
```

## Quick Start

### Generate a README for your project

```bash
auto-readme generate
```

### Generate with specific options

```bash
auto-readme generate --input /path/to/project --output README.md --template base
```

### Interactive Mode

```bash
auto-readme generate --interactive
```

### Preview README without writing

```bash
auto-readme preview
```

## Commands

### generate

Generate a README.md file for your project.

```bash
auto-readme generate [OPTIONS]
```

**Options:**

| Option | Description |
|--------|-------------|
| `-i, --input DIRECTORY` | Input directory to analyze (default: current directory) |
| `-o, --output FILE` | Output file path (default: README.md) |
| `-I, --interactive` | Run in interactive mode |
| `-t, --template TEMPLATE` | Template to use (base, minimal, detailed) |
| `-c, --config FILE` | Path to configuration file |
| `--github-actions` | Generate GitHub Actions workflow |
| `-f, --force` | Force overwrite existing README |
| `--dry-run` | Preview without writing file |

### preview

Preview the generated README without writing to file.

```bash
auto-readme preview [OPTIONS]
```

### analyze

Analyze a project and display information.

```bash
auto-readme analyze [PATH]
```

### init-config

Generate a template configuration file.

```bash
auto-readme init-config --output .readmerc
```

## Configuration

### Configuration File (.readmerc)

Create a `.readmerc` file in your project root to customize README generation:

```yaml
project_name: "My Project"
description: "A brief description of your project"
template: "base"
interactive: false

sections:
  order:
    - title
    - description
    - overview
    - installation
    - usage
    - features
    - api
    - contributing
    - license

custom_fields:
  author: "Your Name"
  email: "your.email@example.com"
```

### pyproject.toml Configuration

You can also configure auto-readme in your `pyproject.toml`:

```toml
[tool.auto-readme]
filename = "README.md"
sections = ["title", "description", "installation", "usage", "api"]
```

## Supported Languages

| Language | Markers | Dependency Files |
|----------|---------|-----------------|
| Python | pyproject.toml, setup.py, requirements.txt | requirements.txt, pyproject.toml |
| JavaScript | package.json | package.json |
| TypeScript | package.json, tsconfig.json | package.json |
| Go | go.mod | go.mod |
| Rust | Cargo.toml | Cargo.toml |

## Template System

The tool uses Jinja2 templates for README generation. Built-in templates:

- **base**: Standard README with all sections
- **minimal**: Basic README with essential information
- **detailed**: Comprehensive README with extensive documentation

### Custom Templates

You can create custom templates by placing `.md.j2` files in a `templates` directory and specifying the path:

```bash
auto-readme generate --template /path/to/custom_template.md.j2
```

## GitHub Actions Integration

Generate a GitHub Actions workflow to automatically update your README:

```bash
auto-readme generate --github-actions
```

This creates `.github/workflows/readme-update.yml` that runs on:
- Push to main/master branch
- Changes to source files
- Manual workflow dispatch

## Project Structure

```
auto-readme-cli/
├── src/
│   └── auto_readme/
│       ├── __init__.py
│       ├── cli.py              # Main CLI interface
│       ├── models/              # Data models
│       ├── parsers/             # Dependency parsers
│       ├── analyzers/           # Code analyzers
│       ├── templates/           # Jinja2 templates
│       ├── utils/               # Utility functions
│       ├── config/              # Configuration handling
│       ├── interactive/         # Interactive wizard
│       └── github/              # GitHub Actions integration
├── tests/                       # Test suite
├── pyproject.toml
└── README.md
```

## Development

### Setting up Development Environment

```bash
git clone https://github.com/yourusername/auto-readme-cli.git
cd auto-readme-cli
pip install -e ".[dev]"
```

### Running Tests

```bash
pytest -xvs
```

### Code Formatting

```bash
black src/ tests/
isort src/ tests/
flake8 src/ tests/
```

## Contributing

Contributions are welcome! Please see our [Contributing Guide](CONTRIBUTING.md) for details.

1. Fork the repository
2. Create a feature branch (`git checkout -b feature/amazing-feature`)
3. Commit your changes (`git commit -m 'Add some amazing feature'`)
4. Push to the branch (`git push origin feature/amazing-feature`)
5. Open a Pull Request

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

## Changelog

See [CHANGELOG.md](CHANGELOG.md) for a list of changes.

---

*Generated with ❤️ by Auto README Generator CLI*