Dockerfile.openshift

FROM python:3.12-slim

# Set working directory
WORKDIR /app

# Install system dependencies
RUN apt-get update && apt-get install -y \
    curl \
    && rm -rf /var/lib/apt/lists/*

# Copy requirements and install Python dependencies
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

# Copy only necessary application files
COPY dashboard.py .
COPY dashboard_styles.py .
COPY mlperf_datacenter.py .
COPY llmd_dashboard.py .
COPY consolidated_dashboard.csv .
COPY llmd-dashboard.csv .

# Copy all MLPerf data (version CSV files and dataset summaries)
COPY mlperf-data/ ./mlperf-data/

# Copy assets (logos, images, etc.)
COPY assets/ ./assets/

# Copy RHAIIS dataset summaries for Dataset Representation section
COPY datasets/summaries/ ./datasets/summaries/

RUN mkdir -p /app/.streamlit && \
    chgrp -R 0 /app && \
    chmod -R g=u /app

# Expose port 8501
EXPOSE 8501

# Health check for OpenShift probes
HEALTHCHECK --interval=30s --timeout=10s --start-period=30s --retries=3 \
    CMD curl -f http://localhost:8501/_stcore/health || exit 1

# Run as non-root
USER 1001

# Set environment variables and run the application
ENV STREAMLIT_CONFIG_PATH=/app/.streamlit
ENV STREAMLIT_SERVER_ENABLE_STATIC_SERVING=false
ENV STREAMLIT_BROWSER_GATHER_USAGE_STATS=false
ENV STREAMLIT_SERVER_MAX_UPLOAD_SIZE=200
CMD ["streamlit", "run", "dashboard.py", \
     "--server.port=8501", \
     "--server.address=0.0.0.0", \
     "--server.headless=true", \
     "--server.enableCORS=false", \
     "--server.enableXsrfProtection=false"]