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- Implemented bandwidth sensitivity and power sensitivity plots. - Created a contour map for bit rate multiplying factors. - Added input parameters for C/N and bandwidth with validation. - Displayed computed results and sensitivity analysis metrics. - Integrated interactive graphs for user exploration. - Included background information section for user guidance.
37 lines
861 B
Docker
37 lines
861 B
Docker
FROM python:3.11-slim
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WORKDIR /app
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# Install system dependencies (gcc for build, curl for healthcheck)
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RUN apt-get update && \
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apt-get install -y --no-install-recommends gcc curl && \
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rm -rf /var/lib/apt/lists/*
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# Install Python dependencies
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COPY requirements.txt ./
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RUN pip install --no-cache-dir -r requirements.txt
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# Copy application
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COPY .streamlit/ .streamlit/
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COPY core/ core/
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COPY views/ views/
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COPY app.py .
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COPY Shannon.png .
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COPY Satellite.png .
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# Create data directory for SQLite databases
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RUN mkdir -p /app/data
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# Expose Streamlit port
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EXPOSE 8080
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# Health check
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HEALTHCHECK --interval=30s --timeout=10s --retries=3 \
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CMD curl -f http://localhost:8080/_stcore/health || exit 1
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# Run Streamlit
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ENTRYPOINT ["streamlit", "run", "app.py", \
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"--server.port=8080", \
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"--server.address=0.0.0.0", \
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"--server.headless=true"]
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