# 1. Start from a standard Python base image
FROM python:3.11-slim

# 2. Set the working directory inside the container
WORKDIR /app

# 3. Copy only the project definition file first to leverage Docker caching
COPY ./pyproject.toml ./

# 4. Install uv and then use it to install the project dependencies
# This is much faster than standard pip.
RUN pip install uv
RUN uv pip install --system --no-cache-dir .

# 5. Copy the actual dashboard application code into the container
COPY . .

# 6. Expose the port the dashboard will run on
EXPOSE 3000

# 7. Define the command to start the Gunicorn server for production
# Gunicorn is a robust server for Flask, and 'eventlet' is required for Socket.IO.
CMD ["gunicorn", "--worker-class", "eventlet", "-w", "1", "--bind", "0.0.0.0:3000", "dashboard.app:app"]