# Phase 5: Production Dockerfile for RAG Pipeline Optimizer
FROM python:3.12-slim

# Set working directory
WORKDIR /app

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

# Initialize Git LFS
RUN git lfs install

# Copy requirements first (for Docker layer caching)
COPY requirements.txt .

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

# Copy project files
COPY config/ ./config/
COPY core/ ./core/
COPY utils/ ./utils/
COPY scripts/ ./scripts/
COPY app/ ./app/
COPY data/ ./data/

# Create necessary directories
RUN mkdir -p logs chroma_db

# Expose Streamlit port
EXPOSE 8501

# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=40s --retries=3 \
    CMD curl --fail http://localhost:8501/_stcore/health || exit 1

# Copy and make startup script executable
COPY startup.sh /app/
RUN chmod +x /app/startup.sh

# Run startup script (which downloads data and starts Streamlit)
CMD ["/app/startup.sh"]