46 lines
1.4 KiB
Docker
46 lines
1.4 KiB
Docker
FROM python:3.11-slim
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# Set working directory
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WORKDIR /app
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# Install system dependencies and ODBC drivers
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RUN apt-get update && apt-get install -y \
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curl \
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apt-transport-https \
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gnupg2 \
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unixodbc-dev \
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unixodbc \
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&& curl -sSL https://packages.microsoft.com/keys/microsoft.asc | gpg --dearmor -o /usr/share/keyrings/microsoft-prod.gpg \
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&& echo "deb [arch=amd64,arm64,armhf signed-by=/usr/share/keyrings/microsoft-prod.gpg] https://packages.microsoft.com/debian/12/prod bookworm main" > /etc/apt/sources.list.d/mssql-release.list \
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&& apt-get update \
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&& ACCEPT_EULA=Y apt-get install -y msodbcsql17 mssql-tools \
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&& rm -rf /var/lib/apt/lists/*
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# Add SQL Server tools to PATH
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ENV PATH="$PATH:/opt/mssql-tools/bin"
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# Copy requirements and install Python dependencies
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COPY requirements-etl.txt .
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RUN pip install --no-cache-dir -r requirements-etl.txt
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# Copy ETL code
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COPY etl/ ./etl/
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# Copy make configuration for filtering
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COPY makes.json /app/makes.json
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# Create logs and data directories
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RUN mkdir -p /app/logs /app/data
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# Set Python path
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ENV PYTHONPATH=/app
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# Expose port for health check
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EXPOSE 8001
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# Health check
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HEALTHCHECK --interval=60s --timeout=10s --start-period=60s --retries=3 \
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CMD python -c "import sys; import os; sys.path.append('/app'); from etl.connections import test_connections; exit(0 if test_connections() else 1)" || exit 1
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# Run ETL scheduler
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CMD ["python", "-m", "etl.main"] |