project-platter 1.0.0
A CLI tool to serve up ready-to-go AI/automation project templates with Git and GitHub setup.
License: MIT
Requires Python: >=3.8
Keywords: automation, genai, cli, project-bootstrap, platter



````markdown
# 🧠 Project Platter

[![PyPI version](https://img.shields.io/pypi/v/project-platter.svg)](https://pypi.org/project/project-platter/)
[![Python](https://img.shields.io/badge/python-3.9%2B-blue.svg)](https://www.python.org/)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE)
[![Documentation Status](https://img.shields.io/badge/docs-online-brightgreen.svg)](https://Hamza-Ghaffar.github.io/Test_Platter/)
[![Build](https://img.shields.io/github/actions/workflow/status/Hamza-Ghaffar/project-platter/ci.yml?branch=main)](https://github.com/Hamza-Ghaffar/project-platter/actions)

---

## 🚀 Overview

**Project Platter** is an open-source Python automation framework by **Hamza-Ghaffar**, built to streamline the setup and management of automation, agentic, and AI-based projects.

It’s a **plug-and-play project scaffolding system** designed for engineers, researchers, and developers who want to:

- ⚙️ Quickly bootstrap new Python or AI agent projects  
- 🧱 Maintain clean, consistent project structures  
- 🔗 Integrate GitHub repositories, CI/CD, and RAG workflows  
- 🤖 Extend automation using LangChain, OpenAI, or custom pipelines  
- 📈 Scale with reusable templates and automation commands  

Project Platter follows the same documentation and distribution standards as top-tier open-source libraries like **React**, **FastAPI**, and **LangChain**.

---

## ⚙️ Installation

Install directly from **PyPI**:

```bash
pip install project-platter
````

Or install from source:

```bash
git clone https://github.com/Hamza-Ghaffar/project-platter.git
cd project-platter
pip install -e .
```

---

## 🚀 Quick Usage

Create a new project scaffold instantly:

```bash
project-platter init my_project
```

Typical workflow:

```bash
# Initialize a structured project
project-platter init my_project

# List available CLI options
project-platter --help

# View or modify configuration
project-platter config --view
```

---

## 🧩 CLI Commands

| Command               | Description                                     |
| --------------------- | ----------------------------------------------- |
| `init <project_name>` | Create a new project folder with default layout |
| `config`              | Show or edit configuration settings             |
| `list`                | List available templates or modules             |
| `run <workflow>`      | Execute a defined automation pipeline           |
| `version`             | Display current version                         |
| `--help`              | Show all available CLI commands                 |

For full CLI documentation → see [docs/cli.md](docs/cli.md)

---

## 🧱 Folder Structure

```bash
my_project/
├── data/                # Data inputs & outputs
├── logs/                # Logging and metrics
├── src/
│   ├── agents/          # AI agent modules
│   ├── models/          # ML or GenAI models
│   ├── pipelines/       # Workflows & orchestrations
│   └── utils/           # Utilities and helpers
├── configs/             # Config YAML/JSON files
├── tests/               # Unit & integration tests
└── requirements.txt     # Project dependencies
```

![alt text](project_platter/User-Flow.svg)



Each generated project is ready for:

* 🧩 Modular AI agent development
* ⚙️ CI/CD integration
* 🔧 Reusable templates
* 📦 Rapid deployment

---
![alt text](project_platter/Flow-dia.svg)


## 🧰 GitHub & CI/CD Integration

Project Platter supports GitHub automation out-of-the-box.
When you initialize a new project, you can auto-generate:

* `.github/workflows/ci.yml` → Continuous Integration pipeline
* `.gitignore` → Optimized for Python, venv, and data artifacts
* Optional pre-commit hooks

You can connect your GitHub repository by running:

```bash
project-platter github init
```

---

## 📘 Documentation

Comprehensive documentation will be hosted soon at:
👉 **[https://Hamza-Ghaffar.github.io/Test_Platter](https://Hamza-Ghaffar.github.io/Test_Platter)**

The documentation includes:

* 🧠 Overview
* ⚙️ Installation
* 🚀 Usage Guide
* 🧩 CLI Details
* 🧱 Folder Structure
* 🧰 GitHub Integration
* 📘 API Reference
* 🤝 Contribution Guidelines

---

## 🧠 Example (Python Integration)

You can also use `Project Platter` programmatically:

```python
from project_platter.core import Platter

platter = Platter()
platter.create_project("my_project")
platter.run_pipeline("data_preprocess")
```

---

## 🤝 Contributing

Contributions are warmly welcomed! ❤️

If you’d like to add features, fix bugs, or improve docs:

1. Fork the repository
2. Create a feature branch
3. Submit a pull request

Refer to [docs/contributing.md](docs/contributing.md) for contribution standards.

---

## 🪪 License

This project is licensed under the **MIT License** — see the [LICENSE](LICENSE) file for details.

```
MIT License

Copyright (c) 2025 Hamza-Ghaffar

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

[Full MIT License included in LICENSE file]
```

---

## 🧩 Credits & Acknowledgments

**Author:** [Hamza-Ghaffar](https://github.com/Hamza-Ghaffar)
**Role:** Software Automation Engineer & Researcher

This project leverages insights, APIs, and design inspiration from:

* **OpenAI**, **LangChain**, and **RAG frameworks** for GenAI integration
* **FastAPI**, **React**, and **MkDocs** open-source ecosystems for structural inspiration
* Developed with assistance from **OpenAI’s GPT-based tools** to accelerate documentation and automation workflows

---

## 🌟 Support & Feedback

If you find **Project Platter** helpful:

* ⭐ Star the repo on GitHub → [Hamza-Ghaffar/project-platter](https://github.com/Hamza-Ghaffar/project-platter)
* 🪶 Report issues or suggest enhancements in the [Issues tab](https://github.com/Hamza-Ghaffar/project-platter/issues)

---