# Use a minimal base image with Python 3.9 installed
FROM python:3.9-slim

# Set the working directory inside the container to /app
WORKDIR /app

# Copy the backend files into the container
COPY app.py .
COPY requirements.txt .
COPY xgboost_model.joblib .
COPY scaler.joblib .

# Install Python dependencies
RUN pip install --no-cache-dir -r requirements.txt

# Expose the port the Flask app will run on
EXPOSE 5000

# Command to run the Flask application using Gunicorn, run as a module with increased timeout
CMD ["python", "-m", "gunicorn", "--bind", "0.0.0.0:5000", "--workers", "1", "--timeout", "120", "app:app"]