49 lines
1.1 KiB
Docker
49 lines
1.1 KiB
Docker
# Use Python 3.10 slim image as base
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FROM python:3.10-slim
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# Set working directory
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WORKDIR /app
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# Install build dependencies, curl for healthcheck, and uv
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RUN apt-get update && \
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apt-get install -y --no-install-recommends \
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gcc \
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python3-dev \
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curl \
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&& rm -rf /var/lib/apt/lists/* \
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&& pip install --no-cache-dir uv
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# Copy project files
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COPY pyproject.toml poetry.lock ./
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COPY splunk_mcp.py ./
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COPY README.md ./
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COPY .env.example ./
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# Install dependencies using uv
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RUN uv pip install --system poetry && \
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uv pip install --system -e .
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# Create directory for environment file
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RUN mkdir -p /app/config
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# Set environment variables
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ENV PYTHONUNBUFFERED=1
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ENV SPLUNK_HOST=
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ENV SPLUNK_PORT=8089
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ENV SPLUNK_USERNAME=
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ENV SPLUNK_PASSWORD=
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ENV SPLUNK_SCHEME=https
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ENV FASTMCP_LOG_LEVEL=INFO
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ENV FASTMCP_PORT=8001
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ENV DEBUG=false
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ENV MODE=sse
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# Expose the FastAPI port
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EXPOSE 8001
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# Add healthcheck
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HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
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CMD curl -f http://localhost:${FASTMCP_PORT}/health || exit 1
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# Default to SSE mode
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CMD ["python", "splunk_mcp.py", "sse"] |