- Update Dockerfile to use pyproject.toml instead of requirements.txt - Add support for Docker Hub image pulling in compose files - Add comprehensive deployment documentation with multiple methods - Create CLAUDE.md with development and architecture guide - Add .dockerignore for optimized build context - Update .env.example with Docker configuration variables - Configure 24-hour monitoring interval by default Changes: - Dockerfile: Install from pyproject.toml, use main.py entry point - docker-compose.yml: Add image option for registry deployment - docker-compose.prod.yml: Add image option for VPS deployment - README.md: Add Docker Hub push/pull workflows and examples - CLAUDE.md: Comprehensive guide for AI assistants and developers - .dockerignore: Exclude unnecessary files from Docker builds - .env.example: Add DOCKER_USERNAME and IMAGE_TAG variables
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989 B
Docker
40 lines
No EOL
989 B
Docker
# GeoGuessr MCP Server Dockerfile
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FROM python:3.13-slim
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# Set working directory
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WORKDIR /app
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# Set environment variables
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ENV PYTHONDONTWRITEBYTECODE=1
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ENV PYTHONUNBUFFERED=1
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ENV PYTHONPATH=/app
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# Install system dependencies
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RUN apt-get update && apt-get install -y --no-install-recommends \
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curl \
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&& rm -rf /var/lib/apt/lists/*
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# Install uv for faster package installation
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RUN pip install --no-cache-dir uv
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# Copy only dependency files for better layer caching
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COPY pyproject.toml .
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# Install Python dependencies from pyproject.toml
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RUN uv pip install --system --no-cache -e .
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# Copy application source code
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COPY src/ ./src/
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# Create data directory for schema cache
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RUN mkdir -p /app/data/schemas
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# Expose the port
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EXPOSE 8000
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# Health check
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HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
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CMD curl -f http://localhost:8000/health || exit 1
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# Run the server using the installed package entry point
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CMD ["python", "-m", "geoguessr_mcp.main"] |