57 lines
1.4 KiB
Docker
57 lines
1.4 KiB
Docker
# Use official Python runtime as base image
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FROM python:3.12-slim AS base
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# Set environment variables
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ENV PYTHONUNBUFFERED=1 \
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PYTHONDONTWRITEBYTECODE=1 \
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PIP_NO_CACHE_DIR=1 \
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PIP_DISABLE_PIP_VERSION_CHECK=1 \
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UV_PROJECT_ENVIRONMENT=/app/.venv \
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ENVIRONMENT=production \
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DATA_DIR=/data
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# Set working directory
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WORKDIR /app
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# Install uv
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COPY --from=ghcr.io/astral-sh/uv:latest /uv /usr/local/bin/uv
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# Copy dependency files
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COPY pyproject.toml README.md ./
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# Copy application code
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COPY src/ ./src/
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# Install Python dependencies including all optional dependencies
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# This makes the image self-contained and ready for any configuration:
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# - Redis support (redis extra)
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# - PostgreSQL support (postgres extra)
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RUN uv sync --no-dev --all-extras
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# Add virtual environment to PATH
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ENV PATH="/app/.venv/bin:$PATH"
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# Create data directory for SQLite database
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RUN mkdir -p /data && chmod 777 /data
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# Add healthcheck
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HEALTHCHECK \
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--interval=30s \
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--timeout=30s \
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--start-period=5s \
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--retries=3 \
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CMD python -c "import urllib.request; \
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urllib.request.urlopen('http://localhost:8000/health', timeout=10)"
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# Expose port
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EXPOSE 8000
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# Declare volume for persistent data
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VOLUME /data
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# Set entrypoint to restrict usage to uvicorn with this specific app
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ENTRYPOINT ["uvicorn", "src.baby_monitor.main:app"]
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# Default arguments
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CMD ["--host", "0.0.0.0", "--port", "8000"]
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