# Use a lightweight official Python image
FROM python:3.9-slim

# Set the working directory inside the container
WORKDIR /app

# Copy the application files
COPY . .

# Install dependencies from the requirements file without using cache to reduce image size
RUN pip install --no-cache-dir -r requirements.txt


# Expose the port the Flask app will run on
#EXPOSE 7860

# Command to run the Flask application
#CMD ["python", "app.py"]

# Define the command to start the application using Gunicorn with 4 worker processes
# - `-w 4`: Uses 4 worker processes for handling requests
# - `-b 0.0.0.0:7860`: Binds the server to port 7860 on all network interfaces
# - `app:app`: Runs the Flask app (assuming `app.py` contains the Flask instance named `app`)
CMD ["gunicorn", "-w", "4", "-b", "0.0.0.0:7860", "app:superkart_revenue_forecaster_api"]