Hackathon-Nov-2024

Introduction

Hackathon-Nov-2024 is a comprehensive project designed for streamlined development and deployment. It leverages advanced technologies, including backend processing, utility scripts, and UI components, all integrated with CI/CD pipelines and containerization to ensure scalability and efficiency.

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Features

• Backend API: Robust server-side functionalities.
• Utility Scripts: Handy tools to support data processing and other operations.
• Large Language Model Components: Extendable modules for integrating LLM capabilities.
• User Interface: Frontend components for enhanced user interaction.
• Containerization: Dockerized environment for portability and consistency.
• CI/CD Integration: Automated pipelines using Azure DevOps.

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Table of Contents

1. Introduction
2. Features
3. Project Structure
4. Installation
5. Usage
6. Development
7. Testing
8. Contributing

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Project Structure

The project is organized as follows:

Hackathon-Nov-2024/
├── backend/            # Server-side logic and APIs
├── data/               # Datasets and related resources
├── utils/              # Utility functions and helpers
├── llm_components/     # Components related to LLMs
├── ui/                 # User Interface modules
├── Dockerfile          # Docker container configuration
├── requirements.txt    # Python dependencies
├── azure-pipelines.yml # Azure DevOps CI/CD pipeline
└── README.md           # Project documentation

Installation

Prerequisites

• Python 3.9+
• Docker
• Azure DevOps account (for CI/CD)

Steps

1. Clone the repository:

   git clone https://github.com/Luffy610/hackathon-nov-2024.git
   cd hackathon-nov-2024

2. Install dependencies:

   pip install -r requirements.txt

3. Set up the environment variables:

   • Create a .env file in the root directory.
   • Add the required variables (refer to utils/config.py).

4. Build the Docker image:

   docker build -t hackathon-nov-2024 .

5. Run the Docker container:

   docker run -p 8000:8000 hackathon-nov-2024

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Usage

1. Access the Backend API:

   • Navigate to http://localhost:8000/api for API endpoints.

2. Use the User Interface:

   • Access the UI at http://localhost:8000.

3. Data Processing:

   • Use scripts in the utils/ directory for data transformation or analysis.

4. LLM Features:

   • Explore LLM functionalities in the llm_components/ module.

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Development

Code Standards

• Follow PEP 8 for Python code.
• Use meaningful commit messages.

Branching Strategy

• Main branch: main
• Feature branches: feature/<feature-name>
• Bug fixes: bugfix/<issue-name>

Pipeline Configuration

• The CI/CD pipeline is configured in azure-pipelines.yml.
• Trigger builds automatically on pushes to main.

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Testing

1. Run unit tests:

   pytest tests/

2. Check test coverage:

   pytest --cov=backend tests/

3. Debugging:
   • Use the integrated Jupyter notebook (Untitled.ipynb) for experimentation.

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Contributing

We welcome contributions! To get started:

1. Fork the repository.
2. Create a new branch:

   git checkout -b feature/<feature-name>

3. Commit your changes:

   git commit -m "Add new feature"

4. Push to the branch:

   git push origin feature/<feature-name>

5. Open a pull request.

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Acknowledgements

• Team Hackathon-Nov-2024 for their dedication and innovation.

For more information or queries, contact dhruvkotwani@outlook.com.