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Poetry: use locked environment in Docker images (#12385)
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4 changed files with 70 additions and 27 deletions
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@ -4,8 +4,12 @@
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# things to include
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!docker
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!synapse
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!MANIFEST.in
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!README.rst
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!pyproject.toml
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!poetry.lock
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# TODO: remove these once we have moved over to using poetry-core in pyproject.toml
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!MANIFEST.in
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!setup.py
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**/__pycache__
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1
changelog.d/12385.docker
Normal file
1
changelog.d/12385.docker
Normal file
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Bundle locked versions of dependencies into the Docker image.
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@ -14,20 +14,61 @@
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# DOCKER_BUILDKIT=1 docker build -f docker/Dockerfile --build-arg PYTHON_VERSION=3.10 .
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#
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# Irritatingly, there is no blessed guide on how to distribute an application with its
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# poetry-managed environment in a docker image. We have opted for
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# `poetry export | pip install -r /dev/stdin`, but there are known bugs in
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# in `poetry export` whose fixes (scheduled for poetry 1.2) have yet to be released.
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# In case we get bitten by those bugs in the future, the recommendations here might
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# be useful:
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# https://github.com/python-poetry/poetry/discussions/1879#discussioncomment-216865
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# https://stackoverflow.com/questions/53835198/integrating-python-poetry-with-docker?answertab=scoredesc
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ARG PYTHON_VERSION=3.9
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###
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### Stage 0: builder
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### Stage 0: generate requirements.txt
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###
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FROM docker.io/python:${PYTHON_VERSION}-slim as requirements
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# RUN --mount is specific to buildkit and is documented at
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# https://github.com/moby/buildkit/blob/master/frontend/dockerfile/docs/syntax.md#build-mounts-run---mount.
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# Here we use it to set up a cache for apt (and below for pip), to improve
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# rebuild speeds on slow connections.
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RUN \
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--mount=type=cache,target=/var/cache/apt,sharing=locked \
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--mount=type=cache,target=/var/lib/apt,sharing=locked \
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apt-get update && apt-get install -y git \
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&& rm -rf /var/lib/apt/lists/*
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# We install poetry in its own build stage to avoid its dependencies conflicting with
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# synapse's dependencies.
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# We use a specific commit from poetry's master branch instead of our usual 1.1.12,
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# to incorporate fixes to some bugs in `poetry export`. This commit corresponds to
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# https://github.com/python-poetry/poetry/pull/5156 and
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# https://github.com/python-poetry/poetry/issues/5141 ;
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# without it, we generate a requirements.txt with incorrect environment markers,
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# which causes necessary packages to be omitted when we `pip install`.
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#
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# NB: In poetry 1.2 `poetry export` will be moved into a plugin; we'll need to also
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# pip install poetry-plugin-export (https://github.com/python-poetry/poetry-plugin-export).
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RUN --mount=type=cache,target=/root/.cache/pip \
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pip install --user git+https://github.com/python-poetry/poetry.git@fb13b3a676f476177f7937ffa480ee5cff9a90a5
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WORKDIR /synapse
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# Copy just what we need to run `poetry export`...
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COPY pyproject.toml poetry.lock README.rst /synapse/
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RUN /root/.local/bin/poetry export --extras all -o /synapse/requirements.txt
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###
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### Stage 1: builder
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###
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FROM docker.io/python:${PYTHON_VERSION}-slim as builder
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# install the OS build deps
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#
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# RUN --mount is specific to buildkit and is documented at
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# https://github.com/moby/buildkit/blob/master/frontend/dockerfile/docs/syntax.md#build-mounts-run---mount.
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# Here we use it to set up a cache for apt, to improve rebuild speeds on
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# slow connections.
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#
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RUN \
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--mount=type=cache,target=/var/cache/apt,sharing=locked \
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--mount=type=cache,target=/var/lib/apt,sharing=locked \
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@ -45,30 +86,27 @@ RUN \
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zlib1g-dev \
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&& rm -rf /var/lib/apt/lists/*
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# Copy just what we need to pip install
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COPY MANIFEST.in README.rst setup.py /synapse/
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COPY synapse/__init__.py /synapse/synapse/__init__.py
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COPY synapse/python_dependencies.py /synapse/synapse/python_dependencies.py
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# To speed up rebuilds, install all of the dependencies before we copy over
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# the whole synapse project so that we this layer in the Docker cache can be
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# the whole synapse project, so that this layer in the Docker cache can be
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# used while you develop on the source
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#
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# This is aiming at installing the `install_requires` and `extras_require` from `setup.py`
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# This is aiming at installing the `[tool.poetry.depdendencies]` from pyproject.toml.
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COPY --from=requirements /synapse/requirements.txt /synapse/
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RUN --mount=type=cache,target=/root/.cache/pip \
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pip install --prefix="/install" --no-warn-script-location \
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/synapse[all]
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pip install --prefix="/install" --no-warn-script-location -r /synapse/requirements.txt
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# Copy over the rest of the project
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# Copy over the rest of the synapse source code.
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COPY synapse /synapse/synapse/
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# ... and what we need to `pip install`.
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# TODO: once pyproject.toml declares poetry-core as its build system, we'll need to copy
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# pyproject.toml here, ditching setup.py and MANIFEST.in.
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COPY setup.py MANIFEST.in README.rst /synapse/
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# Install the synapse package itself and all of its children packages.
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#
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# This is aiming at installing only the `packages=find_packages(...)` from `setup.py
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# Install the synapse package itself.
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RUN pip install --prefix="/install" --no-deps --no-warn-script-location /synapse
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###
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### Stage 1: runtime
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### Stage 2: runtime
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###
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FROM docker.io/python:${PYTHON_VERSION}-slim
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@ -108,7 +108,7 @@ def generate_config_from_template(config_dir, config_path, environ, ownership):
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# Hopefully we already have a signing key, but generate one if not.
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args = [
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"python",
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sys.executable,
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"-m",
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"synapse.app.homeserver",
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"--config-path",
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# generate the main config file, and a signing key.
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args = [
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"python",
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sys.executable,
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"-m",
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"synapse.app.homeserver",
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"--server-name",
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"--open-private-ports",
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]
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# log("running %s" % (args, ))
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os.execv("/usr/local/bin/python", args)
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os.execv(sys.executable, args)
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def main(args, environ):
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log("Starting synapse with args " + " ".join(args))
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args = ["python"] + args
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args = [sys.executable] + args
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if ownership is not None:
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args = ["gosu", ownership] + args
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os.execve("/usr/sbin/gosu", args, environ)
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else:
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os.execve("/usr/local/bin/python", args, environ)
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os.execve(sys.executable, args, environ)
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if __name__ == "__main__":
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