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Installation Guide

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Rahul S. Bhatt edited this page Feb 10, 2025 · 1 revision

Installation Guide

This guide walks you through setting up the AI Analysis for LeetCode project in your local environment.

Prerequisites

  • Python 3.8 or higher
  • Docker (optional, for containerized deployment)
  • Git

Local Installation

  1. Clone the Repository
git clone https://github.com/yourusername/ai-analysis-for-leetcode.git
cd ai-analysis-for-leetcode
  1. Set Up Virtual Environment
python -m venv venv
# On Windows
.\venv\Scripts\activate
# On Unix or MacOS
source venv/bin/activate
  1. Install Dependencies
pip install -r requirements.txt
  1. Configuration
  • Copy .env.example to .env
  • Update environment variables with your settings

Docker Installation

  1. Build the Docker Image
docker build -t ai-leetcode-analyzer .
  1. Run the Container
docker run -p 5000:5000 ai-leetcode-analyzer

Verification

  1. Run Tests
python test_setup.py
  1. Start the Application
python api/app.py
  1. Access the Application
  • Open your browser and navigate to http://localhost:5000
  • You should see the application dashboard

Troubleshooting

Common Issues

  1. Port Conflicts
  • If port 5000 is already in use, modify the port in api/app.py or use Docker port mapping
  1. Dependencies Issues
  • Ensure your Python version is compatible
  • Try upgrading pip: pip install --upgrade pip
  • Install dependencies one by one if bulk installation fails

Getting Help

If you encounter any issues:

  1. Check the Issues page
  2. Create a new issue with detailed error information
  3. Review the logs in the logs directory

Next Steps

Clone this wiki locally