Dockerfile

# CodeRAG Dockerfile
# Multi-stage build for production deployment

# Stage 1: Builder
FROM python:3.11-slim as builder

WORKDIR /app

# Install build dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
    build-essential \
    git \
    && rm -rf /var/lib/apt/lists/*

# Install Python dependencies
COPY pyproject.toml ./
RUN pip install --no-cache-dir build && \
    pip wheel --no-cache-dir --wheel-dir /wheels .

# Stage 2: Runtime
FROM nvidia/cuda:12.1.1-runtime-ubuntu22.04

# Set environment variables
ENV PYTHONDONTWRITEBYTECODE=1 \
    PYTHONUNBUFFERED=1 \
    PYTHONPATH=/app/src \
    HF_HOME=/app/data/hf_cache \
    TRANSFORMERS_CACHE=/app/data/hf_cache \
    TORCH_HOME=/app/data/torch_cache

WORKDIR /app

# Install Python and runtime dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
    python3.11 \
    python3-pip \
    python3.11-venv \
    git \
    && rm -rf /var/lib/apt/lists/* \
    && ln -sf /usr/bin/python3.11 /usr/bin/python

# Copy wheels from builder
COPY --from=builder /wheels /wheels

# Install the application
RUN pip install --no-cache-dir /wheels/*.whl && \
    rm -rf /wheels

# Copy application code
COPY src/ /app/src/
COPY configs/ /app/configs/

# Create data directories
RUN mkdir -p /app/data/chroma_db /app/data/repos /app/data/hf_cache /app/data/torch_cache

# Create non-root user
RUN useradd -m -u 1000 coderag && \
    chown -R coderag:coderag /app

USER coderag

# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \
    CMD python -c "import httpx; httpx.get('http://localhost:8000/health')" || exit 1

# Expose port
EXPOSE 8000

# Run the application
CMD ["python", "-m", "coderag.main"]