R Econometrics MCP Server

# Multi-Target Dockerfile for RMCP # Supports both development and production environments # # Usage: # Development: docker build --target development -t rmcp:dev . # Production: docker build --target production -t rmcp:prod . # ============================================================================ # STAGE: Base Environment (Pre-built R environment) # ============================================================================ FROM ghcr.io/finite-sample/rmcp/rmcp-base:latest AS base # Base image already contains: # - rocker/r2u:noble with optimized R package installation # - All required system dependencies (Python, build tools, SSL, etc.) # - 50+ R packages for statistical analysis, ML, and visualization # - mkcert for HTTPS development # - Optimized configurations and cleanup # Verify base image and display info RUN echo "📦 Using pre-built RMCP base environment" && \ cat /opt/rmcp-base-info.json && \ echo "🔍 R packages available: $(R -q --slave -e 'cat(length(.packages(all.available=TRUE)))')" && \ echo "✅ Base environment ready" # ============================================================================ # STAGE: Development Environment (Full development stack) # ============================================================================ FROM base AS development # Note: R packages and mkcert are already installed in base image # Create Python virtual environment with development dependencies # Use cache mount for pip to dramatically speed up builds ARG TARGETPLATFORM ENV VENV=/opt/venv RUN --mount=type=cache,target=/root/.cache/pip,id=pip-dev-${TARGETPLATFORM} \ --mount=type=cache,target=/tmp/pip-cache,id=pip-dev-temp-${TARGETPLATFORM} \ set -eux; \ python3 -m venv "$VENV"; \ . "$VENV/bin/activate"; \ pip install --upgrade pip \ --cache-dir=/tmp/pip-cache; \ pip install --cache-dir=/tmp/pip-cache \ # Development tools (pinned for cache stability) "black==23.12.1" \ "isort==5.13.2" \ "flake8==6.1.0" \ "pytest==8.2.0" \ "pytest-cov==4.0.0" \ "pytest-asyncio==0.24.0" \ # Core dependencies "click==8.1.7" \ "jsonschema==4.21.1" \ "build==1.0.3" \ # HTTP transport dependencies "fastapi==0.109.0" \ "uvicorn==0.26.0" \ "sse-starlette==1.8.2" \ "httpx==0.26.0" \ # Workflow dependencies "pandas==2.2.0" \ "openpyxl==3.1.2" # Ensure venv tools are first on PATH for subsequent steps/CI ENV PATH="$VENV/bin:$PATH" # Development workspace setup WORKDIR /workspace ENV PYTHONPATH=/workspace # Copy source code for development COPY pyproject.toml ./ # Create a minimal README for build RUN echo "# RMCP Development Environment" > README.md COPY rmcp/ ./rmcp/ # Install RMCP in development mode RUN . "$VENV/bin/activate" && pip install -e . # Default to bash for development work CMD ["bash"] # ============================================================================ # STAGE: Production Builder (Optimized build environment) # ============================================================================ FROM base AS builder # Create Python virtual environment with minimal production dependencies # Use cache mount for pip to dramatically speed up builds ENV VENV=/opt/venv RUN --mount=type=cache,target=/root/.cache/pip,id=pip-prod-${TARGETPLATFORM} \ --mount=type=cache,target=/tmp/pip-cache,id=pip-prod-temp-${TARGETPLATFORM} \ set -eux; \ python3 -m venv "$VENV"; \ . "$VENV/bin/activate"; \ pip install --upgrade pip \ --cache-dir=/tmp/pip-cache; \ pip install --cache-dir=/tmp/pip-cache \ # Core dependencies (pinned for cache stability) "click==8.1.7" \ "jsonschema==4.21.1" \ "build==1.0.3" \ # HTTP transport dependencies "fastapi==0.109.0" \ "uvicorn==0.26.0" \ "sse-starlette==1.8.2" \ "httpx==0.26.0" \ # Workflow dependencies "pandas==2.2.0" \ "openpyxl==3.1.2" # Copy and build RMCP package WORKDIR /build # Copy files in order of change frequency (metadata first, then code) COPY pyproject.toml ./ # Create minimal README.md for build (excluded by .dockerignore) RUN echo "# RMCP Production Build" > README.md COPY rmcp/ ./rmcp/ # Build wheel for production installation with cache mount RUN --mount=type=cache,target=/root/.cache/pip,id=pip-build-${TARGETPLATFORM} \ --mount=type=cache,target=/tmp/build-cache,id=build-cache-${TARGETPLATFORM} \ . "$VENV/bin/activate" && \ pip wheel --no-deps . -w /build/wheels/ --cache-dir=/tmp/build-cache # ============================================================================ # STAGE: Production Runtime (Optimized from base image) # ============================================================================ FROM base AS production-base # Remove development tools to minimize size (aggressive cleanup) RUN set -eux; \ apt-get remove -y \ build-essential \ gcc g++ \ pkg-config \ python3-dev \ git \ curl; \ apt-get autoremove -y; \ apt-get clean; \ # Clean temporary files rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/* /root/.cache # ============================================================================ # STAGE: Production Runtime (Final minimal environment) # ============================================================================ FROM ubuntu:noble AS production ENV DEBIAN_FRONTEND=noninteractive \ PYTHONDONTWRITEBYTECODE=1 \ PYTHONUNBUFFERED=1 # Install only runtime dependencies (no build tools) # Use cache mount for apt downloads only (avoid lock conflicts) RUN --mount=type=cache,target=/var/cache/apt,id=apt-prod-${TARGETPLATFORM} \ set -eux; \ # Clean any existing locks and ensure clean state rm -f /var/lib/apt/lists/lock /var/cache/apt/archives/lock /var/lib/dpkg/lock*; \ apt-get update; \ apt-get install -y --no-install-recommends \ # Python runtime (no dev packages) python3 python3-venv \ # Runtime libraries for compiled packages libcurl4 libssl3 libxml2 \ # Essential utilities ca-certificates \ # Runtime math libraries libblas3 liblapack3 \ # R runtime dependencies r-base-core \ littler; \ # Clean package lists and temporary files rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/* /root/.cache # Copy R packages and configuration from production-base, then configure COPY --from=production-base /usr/local/lib/R /usr/local/lib/R COPY --from=production-base /usr/lib/R /usr/lib/R COPY --from=production-base /etc/R /etc/R RUN echo "options(bspm.sudo = TRUE)" >> /etc/R/Rprofile.site # Copy Python virtual environment and install RMCP (merged operations) ENV VENV=/opt/venv COPY --from=builder /opt/venv /opt/venv COPY --from=builder /build/wheels/ /tmp/wheels/ ENV PATH="$VENV/bin:$PATH" # Install RMCP, create user, and setup directory in single layer RUN pip install --no-deps /tmp/wheels/*.whl && \ rm -rf /tmp/wheels/ && \ groupadd -r rmcp && \ useradd -r -g rmcp -d /app -s /bin/bash rmcp # Set up application directory WORKDIR /app RUN chown rmcp:rmcp /app # Switch to non-root user USER rmcp # Health check HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \ CMD python -c "import rmcp; print('RMCP OK')" || exit 1 # Default to stdio mode for MCP protocol CMD ["rmcp", "start"] # Metadata LABEL org.opencontainers.image.title="RMCP (R Model Context Protocol)" LABEL org.opencontainers.image.description="Statistical analysis server for AI assistants" LABEL org.opencontainers.image.vendor="RMCP Project" LABEL org.opencontainers.image.source="https://github.com/finite-sample/rmcp"