Real Estate Analytics Web App

A web application for displaying real estate rent analytics data.

Code Structure Note

In the navigation menu:

• "Apartments Rent" links to the optimized rent analytics module (located in rent_rev directories)
• "Apartments Vacancy" links to the optimized vacancy analytics module (located in vacancy_rev directories)

Note: The rent and vacancy directories in both frontend and backend are deprecated and not in use.

Environment Setup

1. Clone the repository
2. Copy the environment template:

   cd backend
   cp .env.example .env

3. Update the .env file with your Supabase credentials:
   • SUPABASE_URL: Your Supabase project URL
   • SUPABASE_KEY: Your Supabase anon key (public)

Development

Backend

1. Create and activate virtual environment:

   python -m venv venv
   source venv/bin/activate  # Linux/Mac
   # or
   .\venv\Scripts\activate  # Windows

2. Install dependencies:

   cd backend
   pip install -r requirements.txt

3. Start the server:

   python run.py

Frontend

1. Install dependencies:

   cd frontend
   npm install

2. Start the development server:

   npm start

Security Notes

• The application uses Supabase's Row Level Security (RLS)
• Only read access is permitted through the anon key
• All sensitive information should be kept in .env files
• Never commit .env files to the repository