Dockerfile

# Use an official Python runtime as a parent image
FROM python:3.9-slim

# Install system dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
    gcc \
    python3-dev \
	wget \
    && rm -rf /var/lib/apt/lists
	
	
# Create non-root user
RUN useradd -m -u 1000 user
USER user
ENV PATH="/home/user/.local/bin:$PATH"
WORKDIR /app

# Set environment variables
ENV PYTHONUNBUFFERED=1
ENV PYTHONIOENCODING=UTF-8


# Install Python dependencies in layers for better caching
COPY --chown=user ./requirements.txt requirements.txt
RUN pip install --no-cache-dir --upgrade -r requirements.txt


# Install data science packages
RUN pip install --no-cache-dir \
    pandas \
    scikit-learn \
    matplotlib \
    seaborn
	
	
# Setup IPython kernel
RUN ipython kernel install --name "python3" --user

# Copy application code
COPY --chown=user . /app

RUN chmod +x /app/download_data.sh
RUN /app/download_data.sh

# Expose the port FastAPI will run on
EXPOSE 7860

# Command to run the FastAPI app with Uvicorn
CMD ["uvicorn", "app.jupyter_api:app", "--host", "0.0.0.0", "--port", "7860"]