Docs / docs (push) Successful in 53s
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pre-commit / pre-commit (push) Failing after 2m8s
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readme and license-files name README.md and LICENSE, but the image only ever received pyproject.toml, so hatchling failed metadata validation the moment the layer cache stopped hiding it: OSError: Readme file does not exist: README.md Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
72 lines
2.9 KiB
Docker
72 lines
2.9 KiB
Docker
FROM python:3.13
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ENV PYTHONUNBUFFERED=1
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# Install uv
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# Ref: https://docs.astral.sh/uv/guides/integration/docker/#installing-uv
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COPY --from=ghcr.io/astral-sh/uv:0.9.26 /uv /uvx /bin/
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# Compile bytecode
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# Ref: https://docs.astral.sh/uv/guides/integration/docker/#compiling-bytecode
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ENV UV_COMPILE_BYTECODE=1
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# uv Cache
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# Ref: https://docs.astral.sh/uv/guides/integration/docker/#caching
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ENV UV_LINK_MODE=copy
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WORKDIR /app/
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# Place executables in the environment at the front of the path
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# Ref: https://docs.astral.sh/uv/guides/integration/docker/#using-the-environment
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ENV PATH="/app/.venv/bin:$PATH"
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# /app/.venv holds the app and nothing of anybody else's, so there is nothing
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# here to adopt: node code gets a venv of its own on the data volume, which is
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# what the Modules screen installs into. A `pip install fluksio` into an
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# environment somebody already works in is the case that adopts instead.
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ENV NODE_VENV=managed
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# Install dependencies
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# Ref: https://docs.astral.sh/uv/guides/integration/docker/#intermediate-layers
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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 --frozen --no-install-workspace --package fluksio
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COPY ./backend/scripts /app/backend/scripts
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# README.md and LICENSE come along because pyproject.toml names them in
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# `readme` and `license-files`; hatchling reads both when it builds the
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# package metadata below, and fails the build if either is missing.
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COPY ./backend/pyproject.toml ./backend/alembic.ini ./backend/README.md ./backend/LICENSE /app/backend/
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COPY ./backend/fluksio /app/backend/fluksio
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# The worker is a workspace member of its own, so the engine's sync needs it
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# present to resolve the dependency on it. It is also what the engine runs
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# node code with.
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COPY ./worker /app/worker
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# Sync the project
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# Ref: https://docs.astral.sh/uv/guides/integration/docker/#intermediate-layers
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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 --frozen --package fluksio
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# Connectors are ordinary installed packages found through the
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# `fluksio.node_types` entry point. `make connectors` builds them into here;
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# an image with none is the normal case.
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COPY ./backend/connector-wheels /tmp/connector-wheels
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RUN --mount=type=cache,target=/root/.cache/uv \
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sh -c 'ls /tmp/connector-wheels/*.whl >/dev/null 2>&1 \
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&& uv pip install --python /app/.venv/bin/python /tmp/connector-wheels/*.whl \
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|| echo "no connectors bundled"'
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WORKDIR /app/backend/
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# Single worker on purpose: the process hosts the flow engine, and a second
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# worker would be a second engine — duplicated subscriptions, cron ticks and
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# webhooks. Scaling out is the M5 worker split, not more uvicorn processes.
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CMD ["fastapi", "run", "fluksio/main.py"]
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