devops-automation-cli 1.2

AI-powered CLI tool for automating DevOps workflows like setup, Git, CI/CD, Docker, and documentation.

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# 🚀 AutoDevOps CLI — AI-Powered DevOps Automation Tool

A simple but powerful **AI-integrated CLI tool** that automates your complete DevOps pipeline — from setup to CI/CD, Docker, and deployment — using **OpenAI**.

📦 **Install Now:**
```bash
pip install autodevops-cli==7.1

🔗 GitHub Repo: https://github.com/kannanb2745/Automated-DevOps

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🧠 Why AutoDevOps CLI?

Setting up a DevOps pipeline takes hours of manual effort — from writing Dockerfiles and CI/CD scripts to managing Git pushes and debugging builds. AutoDevOps CLI simplifies all of this into just two commands — powered by AI.

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⚙️ Architecture: Two-Step Process

🔧 Step 1: setup <path> — Environment Bootstrapping

Automatically sets up your project directory and generates everything you need:

1. 📁 Extracts the folder structure
2. 📦 Detects the tech stack and generates documentation (via OpenAI)
3. 📂 Analyzes folder structure quality and documents findings
4. 📝 Creates a clean README.md file
5. 🐳 Generates a functional Dockerfile
6. 🚀 Generates CI/CD YAML files (GitHub Actions, etc.)
7. ✅ Auto-generates unit testing files based on the codebase

🔮 All this is generated using the OpenAI API with GPT intelligence!

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🚀 Step 2: Git-Aware CI/CD + Deployment Automation

When the developer runs the git subcommand, here's what happens:

1. 🧾 Modified files are automatically staged and committed

2. 📤 Changes are pushed to Git

3. ⚙️ Triggers the CI/CD pipeline

4. 📄 Fetches and prints CI/CD logs

5. 🐳 Builds the Docker image and pushes to Docker Hub

6. 🔍 AI summarizes logs and metadata:

   • Who committed
   • What changed
   • Pipeline run ID and status

7. 🖥️ You can pull and run the Docker image locally or deploy it to production

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🧪 Conflict Detection via MongoDB

To avoid costly merge bugs and debug cycles:

• Every commit’s metadata is stored in MongoDB
• The tool compares modified files across branches
• Detects potential merge conflicts before they happen

⏱️ This saves time, improves code quality, and avoids CI/CD failures.

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📦 Installation

Install the CLI globally using pip:

pip install autodevops-cli==7.1

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🏁 How to Use

🔧 1. Setup Project Environment

autodevops setup /path/to/your/project

🚀 2. Automate Git + CI/CD + Docker + Log Analysis

autodevops push "Your commit message"

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📁 .env Configuration (Required)

Create a .env file in the root of your project with:

OPENAI_API_KEY=your_openai_key
DOCKER_USERNAME=your_dockerhub_username
DOCKER_PASSWORD=your_dockerhub_password
MONGO_URL=your_mongodb_connection_string

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🧩 Dependencies

• Python 3.6+
• OpenAI API
• Docker Hub Account
• MongoDB (Cloud or Local)
• GitHub Actions or CI/CD integration

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🧑‍💻 Author

Kannan B 💼 GitHub: @kannanb2745

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📄 License

MIT License — Open for contribution and customization.

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🙌 Contributions Welcome

Have ideas, suggestions, or improvements? Open an issue or submit a PR on GitHub: https://github.com/kannanb2745/Automated-DevOps

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Save hours of setup, debugging, and scripting. Let AutoDevOps CLI handle it all while you focus on shipping great code. 🚀

✅ What's Next?

Now that you have README.md and an updated setup.py:

🔄 Final Steps to Push to PyPI:

# Optional: clean previous builds
rm -rf dist/ build/ *.egg-info

# Step 1: Build the package
python setup.py sdist bdist_wheel

# Step 2: Upload to PyPI
twine upload dist/*