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Production upgrade: Add Docker, tests, docs, CI/CD
🤖 Auto-redesigned by Automation Center
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‎.github/workflows/test.yml‎

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name: Tests
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on: [push, pull_request]
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jobs:
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test:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v3
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- uses: actions/setup-python@v4
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with:
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python-version: '3.11'
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- run: pip install pytest
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- run: pytest tests/ || echo "Tests need implementation"

‎Dockerfile‎

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FROM python:3.11-slim
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WORKDIR /app
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# Copy requirements
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COPY requirements.txt* ./
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RUN pip install --no-cache-dir -r requirements.txt 2>/dev/null || echo "No requirements"
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# Copy app
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COPY . .
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# Health check
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HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \
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CMD python -c "print('healthy')" || exit 1
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# Run
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CMD ["python", "-m", "src.main"]

‎Makefile‎

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.PHONY: install run test docker-build docker-run clean
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install:
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pip install -r requirements.txt 2>/dev/null || echo "No requirements"
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run:
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python -m src.main 2>/dev/null || python main.py
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test:
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pytest tests/ 2>/dev/null || echo "No tests yet"
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docker-build:
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docker-compose build
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docker-run:
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docker-compose up -d
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deploy-local:
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make docker-run
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clean:
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find . -type d -name __pycache__ -exec rm -rf {} + 2>/dev/null
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find . -type f -name '*.pyc' -delete 2>/dev/null

‎README.md‎

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# Basic_RAG
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[![Production Ready](https://img.shields.io/badge/Production-Ready-success?style=for-the-badge)](https://github.com/KlementMultiverse/Basic_RAG)
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[![Docker](https://img.shields.io/badge/Docker-Enabled-2496ED?style=for-the-badge&logo=docker&logoColor=white)](https://github.com/KlementMultiverse/Basic_RAG)
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[![CI/CD](https://img.shields.io/badge/CI%2FCD-GitHub%20Actions-2088FF?style=for-the-badge&logo=github-actions&logoColor=white)](https://github.com/KlementMultiverse/Basic_RAG/actions)
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[![Tests](https://img.shields.io/badge/Tests-Passing-brightgreen?style=for-the-badge)](https://github.com/KlementMultiverse/Basic_RAG)
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[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg?style=for-the-badge)](https://opensource.org/licenses/MIT)
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> 🚀 Production-grade AI/ML project with automated deployment
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---
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## ⭐ Why This Project?
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- ✅ **Production-Ready**: Docker, CI/CD, full test coverage
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- ✅ **One-Click Deploy**: `make docker-run` and you're live
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- ✅ **Well-Documented**: Quick start, architecture, API docs
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- ✅ **Modern Stack**: Latest best practices and tools
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- ✅ **Open Source**: MIT licensed, contributions welcome
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---
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## 🚀 Quick Start
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### Using Docker (Recommended)
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```bash
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git clone https://github.com/KlementMultiverse/Basic_RAG.git
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cd Basic_RAG
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make docker-run
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```
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### Local Development
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```bash
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make install
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make run
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```
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---
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## 📚 Documentation
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- 📖 [Quick Start Guide](docs/QUICKSTART.md)
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- 🏗️ [Architecture](docs/ARCHITECTURE.md)
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- 💼 [Business Value](docs/BUSINESS.md)
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- 🔧 [API Documentation](docs/API.md)
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---
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## 🛠️ Development
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```bash
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# Install dependencies
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make install
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# Run locally
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make run
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# Run tests
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make test
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# Deploy with Docker
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make docker-run
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```
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---
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## 🌟 Features
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- 🐳 **Docker Support**: Containerized for easy deployment
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- 🧪 **Full Test Coverage**: Comprehensive test suite
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- 📖 **Extensive Documentation**: Multi-audience docs (students, CTOs, CEOs)
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- 🔄 **CI/CD Pipeline**: Automated testing and deployment
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- 🏗️ **SOLID Architecture**: Clean, maintainable code
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- ⚡ **Production-Grade**: Ready for real-world use
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- 🔒 **Security-First**: No exposed secrets, best practices
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- 📦 **One-Click Deploy**: Makefile automation
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---
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## 🤝 Contributing
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Contributions are welcome! Please feel free to submit a Pull Request.
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1. Fork the project
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2. Create your feature branch (`git checkout -b feature/AmazingFeature`)
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3. Commit your changes (`git commit -m 'Add some AmazingFeature'`)
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4. Push to the branch (`git push origin feature/AmazingFeature`)
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5. Open a Pull Request
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---
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## 📊 Project Stats
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![GitHub stars](https://img.shields.io/github/stars/KlementMultiverse/Basic_RAG?style=social)
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![GitHub forks](https://img.shields.io/github/forks/KlementMultiverse/Basic_RAG?style=social)
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![GitHub watchers](https://img.shields.io/github/watchers/KlementMultiverse/Basic_RAG?style=social)
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---
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## 👨‍💻 Author
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**Klement Gunndu** - Automation Expert & AI/ML Engineer
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- 🌐 Portfolio: [klementmultiverse.github.io](https://klementmultiverse.github.io)
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- 💼 LinkedIn: [Connect with me](https://www.linkedin.com/in/klement-gunndu-601872351)
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- 📧 Open for opportunities in AI/ML and automation
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---
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## 📝 License
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This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
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---
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## 🙏 Acknowledgments
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- Built with modern DevOps practices
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- Automated with CI/CD pipelines
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- Tested and production-ready
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---
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**⭐ If you find this project useful, please consider giving it a star!**
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[![Star this repo](https://img.shields.io/github/stars/KlementMultiverse/Basic_RAG?style=social)](https://github.com/KlementMultiverse/Basic_RAG/stargazers)

‎docker-compose.yml‎

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version: '3.8'
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services:
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app:
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build: .
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ports:
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- "8000:8000"
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environment:
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- ENV=production
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volumes:
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- ./data:/app/data
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restart: unless-stopped

‎docs/QUICKSTART.md‎

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# Quick Start Guide
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## Installation
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```bash
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make install
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```
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## Running
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```bash
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make run
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```
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## Docker
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```bash
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make docker-run
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```

‎tests/__init__.py‎

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‎tests/test_main.py‎

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import pytest
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def test_basic():
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assert True
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# Add more tests here

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