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https://github.com/eigent-ai/eigent.git
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53 lines
No EOL
1.5 KiB
Docker
53 lines
No EOL
1.5 KiB
Docker
# Use a Python image with uv pre-installed
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FROM ghcr.io/astral-sh/uv:python3.12-bookworm-slim
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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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ENV UV_PYTHON_INSTALL_MIRROR=https://registry.npmmirror.com/-/binary/python-build-standalone
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ARG database_url
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ENV database_url=$database_url
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# Copy dependency files first
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COPY pyproject.toml uv.lock ./
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# Install the project's dependencies
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RUN --mount=type=cache,target=/root/.cache/uv \
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uv sync --no-install-project --no-dev
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# Then, add the rest of the project source code and install it
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# Installing separately from its dependencies allows optimal layer caching
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COPY . /app
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RUN --mount=type=cache,target=/root/.cache/uv \
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uv sync --no-dev
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RUN uv run pybabel extract -F babel.cfg -o messages.pot . && \
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uv run pybabel init -i messages.pot -d lang -l zh_CN && \
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uv run pybabel compile -d lang -l zh_CN
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# Install netcat for database connectivity check
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RUN apt-get update && apt-get install -y curl netcat-openbsd && rm -rf /var/lib/apt/lists/*
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# Place executables in the environment at the front of the path
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ENV PATH="/app/.venv/bin:$PATH"
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# Copy and make the start script executable
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COPY start.sh /app/start.sh
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RUN sed -i 's/\r$//' /app/start.sh && chmod +x /app/start.sh
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# Reset the entrypoint, don't invoke `uv`
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ENTRYPOINT []
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EXPOSE 5678
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# Use the start script
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CMD ["/app/start.sh"] |