51 lines
1.7 KiB
Docker
51 lines
1.7 KiB
Docker
# Modified by official dockerfile sample(https://github.com/astral-sh/uv-docker-example/blob/main/Dockerfile)
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# Use a Python image with uv pre-installed
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FROM ghcr.io/astral-sh/uv:python3.13-bookworm-slim
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# Setup a non-root user
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RUN groupadd --system --gid 999 nonroot \
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&& useradd --system --gid 999 --uid 999 --create-home nonroot
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# Install the project into `/app`
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WORKDIR /app
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# Enable bytecode compilation
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ENV UV_COMPILE_BYTECODE=1
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# Copy from the cache instead of linking since it's a mounted volume
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ENV UV_LINK_MODE=copy
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# Ensure installed tools can be executed out of the box
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ENV UV_TOOL_BIN_DIR=/usr/local/bin
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# Install the project's dependencies using the lockfile and settings
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RUN --mount=type=cache,target=/root/.cache/uv \
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--mount=type=bind,source=uv.lock,target=uv.lock \
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--mount=type=bind,source=pyproject.toml,target=pyproject.toml \
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uv sync --locked --no-install-project --no-dev
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# Then, add the rest of the project source code and install it
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# Installing separately from its dependencies allows optimal layer caching
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COPY ./embrace_life /app
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COPY pyproject.toml /app
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COPY uv.lock /app
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RUN --mount=type=cache,target=/root/.cache/uv \
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uv sync --locked --no-dev
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# Place executables in the environment at the front of the path
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ENV PATH="/app/.venv/bin:$PATH"
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# Reset the entrypoint, don't invoke `uv`
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ENTRYPOINT []
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# Use the non-root user to run our application
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USER nonroot
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# Run the Streamlit application by default
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ENV TZ="Asia/Taipei"
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EXPOSE 8503
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CMD ["python", "-m", "streamlit", "run", "app.py", "--server.port=8503", "--server.enableCORS=false", "--server.enableXsrfProtection=false"]
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# Build
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# docker build --platform=linux/amd64 -t embracelife:latest .
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# docker save -o embracelife.tar embracelife:latest |