# FastMCP2 Google Workspace Platform - Production Dockerfile
FROM python:3.11-slim
# Set environment variables
ENV PYTHONUNBUFFERED=1 \
PYTHONDONTWRITEBYTECODE=1 \
UV_SYSTEM_PYTHON=1 \
PATH="/root/.local/bin:$PATH"
# Install system dependencies
RUN apt-get update && apt-get install -y \
curl \
git \
&& rm -rf /var/lib/apt/lists/*
# Install uv (Python package manager)
RUN curl -LsSf https://astral.sh/uv/install.sh | sh
# Create app directory
WORKDIR /app
# Copy dependency files first (for better caching)
COPY pyproject.toml uv.lock README.md ./
# Copy application code (needed before uv sync for hatchling build)
COPY . .
# Install Python dependencies using uv
RUN uv sync --frozen
# Create credentials directory
RUN mkdir -p /app/credentials && \
chmod 755 /app/credentials
# Expose port (default 8002)
EXPOSE 8002
# Health check using lightweight readiness endpoint
# Following Kubernetes best practices for container orchestration
HEALTHCHECK --interval=30s --timeout=10s --start-period=40s --retries=3 \
CMD curl -f http://localhost:8002/ready || exit 1
# Ensure SIGTERM is forwarded to Python for graceful lifespan shutdown
# (Docker sends STOPSIGNAL to PID 1 — uv must forward it to the child process)
STOPSIGNAL SIGTERM
# Run the server using uv with exec form for proper signal handling
CMD ["uv", "run", "python", "-u", "server.py"]
