Can you give me an example of a Dockerfile
in which I can install all the packages I need from poetry.lock
and pyproject.toml
into my image/container from Docker?
There are several things to keep in mind when using Poetry together with Docker.
Installation
Official way to install Poetry is via:
curl -sSL https://install.python-poetry.org | python3 -
This way allows Poetry and its dependencies to be isolated from your dependencies.
You can also use pip install 'poetry==$POETRY_VERSION'
. But, this will install Poetry and its dependencies into your main site-packages/
. It might not be ideal.
Also, pin this version in your pyproject.toml
as well:
[build-system]
# Should be the same as `$POETRY_VERSION`:
requires = ["poetry-core>=1.6"]
build-backend = "poetry.core.masonry.api"
It will protect you from version mismatch between your local and Docker environments.
Caching dependencies
We want to cache our requirements and only reinstall them when pyproject.toml
or poetry.lock
files change. Otherwise builds will be slow. To achieve working cache layer we should put:
COPY poetry.lock pyproject.toml /code/
after Poetry is installed, but before any other files are added.
Virtualenv
The next thing to keep in mind is virtualenv
creation. We do not need it in Docker. It is already isolated. So, we use POETRY_VIRTUALENVS_CREATE=false
or poetry config virtualenvs.create false
setting to turn it off.
Development vs. Production
If you use the same Dockerfile
for both development and production as I do, you will need to install different sets of dependencies based on some environment variable:
poetry install $(test "$YOUR_ENV" == production && echo "--only=main")
This way $YOUR_ENV
will control which dependencies set will be installed: all (default) or production only with --only=main
flag.
You may also want to add some more options for better experience:
--no-interaction
not to ask any interactive questions--no-ansi
flag to make your output more log friendly
Result
You will end up with something similar to:
FROM python:3.11.5-slim-bookworm
ARG YOUR_ENV
ENV YOUR_ENV=${YOUR_ENV} \
PYTHONFAULTHANDLER=1 \
PYTHONUNBUFFERED=1 \
PYTHONHASHSEED=random \
PIP_NO_CACHE_DIR=off \
PIP_DISABLE_PIP_VERSION_CHECK=on \
PIP_DEFAULT_TIMEOUT=100 \
# Poetry's configuration:
POETRY_NO_INTERACTION=1 \
POETRY_VIRTUALENVS_CREATE=false \
POETRY_CACHE_DIR='/var/cache/pypoetry' \
POETRY_HOME='/usr/local'
POETRY_VERSION=1.7.1
# ^^^
# Make sure to update it!
# System deps:
RUN curl -sSL https://install.python-poetry.org | python3 -
# Copy only requirements to cache them in docker layer
WORKDIR /code
COPY poetry.lock pyproject.toml /code/
# Project initialization:
RUN poetry install $(test "$YOUR_ENV" == production && echo "--only=main") --no-interaction --no-ansi
# Creating folders, and files for a project:
COPY . /code
You can find a fully working real-life example here.
poetry
recently.) –
Wallop pip install poetry
is that Poetry's dependencies might conflict with app dependencies. –
Idolatry poetry config virtualenvs.create false
doesn't work in 1.0.0. Use RUN POETRY_VIRTUALENVS_CREATE=false poetry install
instead. –
Vassalage --user
arg to pip
so that I can simply copy /root/.local
to my final stage. How would I go about this with poetry? –
Aegir [build-system]
, shouldn't you use poetry==1.0
instead of using a >=
? –
Jenine pip install
do conflict with app dependencies as poetry dependencies also have their own dependencies. It is absolutely under control of developer. Using this method it is always recommended to use pip install --ignore-installed
. I don't like piping something from Internet right in the shell, too. Not to mention that it requires curl, wget or anything else. But, if you decided to do so, there is --version
option of get-poetry.py
script. –
Holbrook pyproject.toml
, I had everything set up normally. However, pip install poetry
(on Python 3.7) installs appdirs
as a dependency of poetry
, as intended. But when running with config virtualenvs.create false
, poetry
runs "bare-metal", and removes appdirs
again (Removing appdirs (1.4.4)
, while installing normal project dependencies fine). This is because appdirs
was not listed in pyproject.toml
(because why would it?). I reverted to using virtual envs again, so that poetry
doesn't remove appdirs
. –
Balls dephell
or black
and you have them in pyproject.toml
in the dev-dependencies
section stuff blows up if you install with --no-dev
. One of the (hopefully temporary) solutions is to install poetry the "official" way. –
Mho pyproject.toml
together with poetry.lock
? pyproject.toml
also contains some linters configuration, for example, and changes in this section trigger unnecessary cache miss. So, is it OK to COPY poetry.lock
only? –
Retake pyproject.toml
at the start if not by just entering some dummies first as I suggested at [Poetry could not find a pyproject.toml file in C:](https://mcmap.net/q/101469/-poetry-could-not-find-a-pyproject-toml-file-in-c)? Is this totally wrong? Where can I get a "typical" small scale pyproject.toml
that I can reuse? –
Arsyvarsy poetry init
: python-poetry.org/docs/cli/#init –
Amling poetry init
and then you have to fill in some dummies which is confusing at first since you might think you have to add the needed packages instead. I just want to have a standard toml file with dummy values in advance where I just change the Python version to the needed one. –
Arsyvarsy poetry
itself, you could also consider installing poetry
via pipx
which isolates poetry
into its own virtualenv: python-poetry.org/docs/#installing-with-pipx –
Constantina # Should be the same as `$POETRY_VERSION`:
is not correct –
Roseboro curl -sSL https://install.python-poetry.org | python3 - --version 1.2.0
–
Hadria --no-dev
is deprecated. Now use --only main
–
Ethmoid curl
is now deprecated, and for the life of me I can't get pipx
to work on Ubuntu docker images. –
Dinar curl
installation is not deprecated. curl .../.../install-poetry.py
installer was deprecated and remove a long time ago. See python-poetry.org/docs/#installing-with-the-official-installer –
Amling dockerfile
with this call docker build --build-arg YOUR_ENV=production . -t poetry_production_ifelse --no-cache
but I got the following error: 0.391 /bin/sh: 1: test: production: unexpected operator 0.391 /bin/sh: 1: poetry: not found
–
Ozell curl
is not installed in the python:3.11-slim
base image. The command curl https://install.python-poetry.org | python -
fails silently in these circumstances! You need to add RUN apt-get -y update; apt-get -y install curl
or similar before RUN curl ...
. –
Flashboard curl
instead of pip
. Can I suggest you add RUN apt-get -y update; apt-get -y install curl
immediately before RUN curl ...
for the reasons I give above? Feels too major a change for me to edit in myself (since there are other options, i.e. using a base image that includes curl
out of the box), but too minor for me to write a separate answer. –
Flashboard Multi-stage Docker build with Poetry and venv
Update (2024-03-16)
This has become much easier over the past years. These days I'd use Poetry's bundle plugin to install the application into a virtual environment, then copy the virtual environment into a distroless image. Install Poetry with pipx, which is packaged by Debian. (You likely want to pin Poetry to avoid breakage when your project isn't compatible with a new Poetry release.) Use the option --only=main
when bundling to omit development dependencies.
FROM debian:12-slim AS builder
RUN apt-get update && \
apt-get install --no-install-suggests --no-install-recommends --yes pipx
ENV PATH="/root/.local/bin:${PATH}"
RUN pipx install poetry
RUN pipx inject poetry poetry-plugin-bundle
WORKDIR /src
COPY . .
RUN poetry bundle venv --python=/usr/bin/python3 --only=main /venv
FROM gcr.io/distroless/python3-debian12
COPY --from=builder /venv /venv
ENTRYPOINT ["/venv/bin/my-awesome-app"]
Original Answer
Do not disable virtualenv creation. Virtualenvs serve a purpose in Docker builds, because they provide an elegant way to leverage multi-stage builds. In a nutshell, your build stage installs everything into the virtualenv, and the final stage just copies the virtualenv over into a small image.
Use poetry export
and install your pinned requirements first, before copying your code. This will allow you to use the Docker build cache, and never reinstall dependencies just because you changed a line in your code.
Do not use poetry install
to install your code, because it will perform an editable install. Instead, use poetry build
to build a wheel, and then pip-install that into your virtualenv. (Thanks to PEP 517, this whole process could also be performed with a simple pip install .
, but due to build isolation you would end up installing another copy of Poetry.)
Here's an example Dockerfile installing a Flask app into an Alpine image, with a dependency on Postgres. This example uses an entrypoint script to activate the virtualenv. But generally, you should be fine without an entrypoint script because you can simply reference the Python binary at /venv/bin/python
in your CMD
instruction.
Dockerfile
FROM python:3.7.6-alpine3.11 as base
ENV PYTHONFAULTHANDLER=1 \
PYTHONHASHSEED=random \
PYTHONUNBUFFERED=1
WORKDIR /app
FROM base as builder
ENV PIP_DEFAULT_TIMEOUT=100 \
PIP_DISABLE_PIP_VERSION_CHECK=1 \
PIP_NO_CACHE_DIR=1 \
POETRY_VERSION=1.0.5
RUN apk add --no-cache gcc libffi-dev musl-dev postgresql-dev
RUN pip install "poetry==$POETRY_VERSION"
RUN python -m venv /venv
COPY pyproject.toml poetry.lock ./
RUN poetry export -f requirements.txt | /venv/bin/pip install -r /dev/stdin
COPY . .
RUN poetry build && /venv/bin/pip install dist/*.whl
FROM base as final
RUN apk add --no-cache libffi libpq
COPY --from=builder /venv /venv
COPY docker-entrypoint.sh wsgi.py ./
CMD ["./docker-entrypoint.sh"]
docker-entrypoint.sh
#!/bin/sh
set -e
. /venv/bin/activate
while ! flask db upgrade
do
echo "Retry..."
sleep 1
done
exec gunicorn --bind 0.0.0.0:5000 --forwarded-allow-ips='*' wsgi:app
wsgi.py
import your_app
app = your_app.create_app()
--no-root
flag. See a closed Github issue here. –
Parka poetry install --no-root
instead of exporting requirements for pip install
. But it doesn't help with the editable installs. That issue is still open –
Guild poetry export -f requirements.txt
generates invalid requirements files: the same entries are duplicated. This seems to be related to attempting to support different versions of Python. –
Fridge --user
) and then just copy whole $HOME/.local/
into, e. g. /usr/bin/local/
. There is also --root
and --prefix
pip options, but it seems that --root
is just not working (pip 20.2), and --prefix
is vague and it is not clear what it actually do. And, as I said, there is no reason to use them as --user
works perfiect. –
Holbrook requirements.txt
using locally installed poetry. In such case, we could even drop poetry installation from our Dockerfile, which is cool. Unfortunately, this can't be done using docker itself. Definitely, it could be automated using, e. g. shell script, Makefile or something similar. To me, though, such approach seems very inconsistent with whole build process. –
Holbrook requirements.txt
generation step and this one should still maintain the non-editable state –
Stigmatize PIP_PREFIX
environment variable. In the base stage, disable virtualenvs, set the prefix to a new directory (e.g. /install
, mkdir it first!), and in the final stage copy the prefix directory to the Python prefix (could be /usr
, could be /usr/local
, could be something else). Assuming the official Python docker images and /install
as the prefix, you'd use COPY --from=base /install /usr/local
. –
Adjudge . /venv/bin/activate
, it is sufficient in the Dockerfile to use ENV PATH="/venv/bin:${PATH}"
and ENV VIRTUAL_ENV="/venv"
which means you can have an inline entrypoint/cmd and it will still use the venv. –
Transmundane This is a minor revision to the answer provided by @Claudio, which uses the new poetry install --no-root
feature as described by @sobolevn in his answer.
In order to force poetry to install dependencies into a specific virtualenv, one needs to first enable it.
. /path/to/virtualenv/bin/activate && poetry install
Therefore adding these into @Claudio's answer we have
FROM python:3.10-slim as base
ENV PYTHONFAULTHANDLER=1 \
PYTHONHASHSEED=random \
PYTHONUNBUFFERED=1
WORKDIR /app
FROM base as builder
ENV PIP_DEFAULT_TIMEOUT=100 \
PIP_DISABLE_PIP_VERSION_CHECK=1 \
PIP_NO_CACHE_DIR=1 \
POETRY_VERSION=1.3.1
RUN pip install "poetry==$POETRY_VERSION"
COPY pyproject.toml poetry.lock README.md ./
# if your project is stored in src, uncomment line below
# COPY src ./src
# or this if your file is stored in $PROJECT_NAME, assuming `myproject`
# COPY myproject ./myproject
RUN poetry config virtualenvs.in-project true && \
poetry install --only=main --no-root && \
poetry build
FROM base as final
COPY --from=builder /app/.venv ./.venv
COPY --from=builder /app/dist .
COPY docker-entrypoint.sh .
RUN ./.venv/bin/pip install *.whl
CMD ["./docker-entrypoint.sh"]
If you need to use this for development purpose, you add or remove the --no-dev
by replacing this line
RUN . /venv/bin/activate && poetry install --no-dev --no-root
to something like this as shown in @sobolevn's answer
RUN . /venv/bin/activate && poetry install --no-root $(test "$YOUR_ENV" == production && echo "--no-dev")
after adding the appropriate environment variable declaration.
The example uses debian-slim's as base, however, adapting this to alpine-based image should be a trivial task.
COPY
commands before the RUN poetry install
or RUN poetry build
I suppose? my answer (as well as the referenced ones) practically just replicate the setup in the container, just that we explicitly set the venv to be /venv/
, if the setup in the container is identical to your work setup everything technically should run fine, just think how you would replicate the setup elsewhere without docker and adjust the Dockerfile accordingly? –
Stigmatize COPY
the local package in doesn't work for me. I get pip._vendor.pkg_resources.RequirementParseError: Invalid URL: my-package
during the command RUN . /venv/bin/activate && pip install *.whl
–
Detonator TL;DR
I have been able to set up poetry
for a Django
project using postgres
. After doing some research, I ended up with the following Dockerfile
:
FROM python:slim
# Keeps Python from generating .pyc files in the container
ENV PYTHONDONTWRITEBYTECODE 1
# Turns off buffering for easier container logging
ENV PYTHONUNBUFFERED 1
# Install and setup poetry
RUN pip install -U pip \
&& apt-get update \
&& apt install -y curl netcat \
&& curl -sSL https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py | python -
ENV PATH="${PATH}:/root/.poetry/bin"
WORKDIR /usr/src/app
COPY . .
RUN poetry config virtualenvs.create false \
&& poetry install --no-interaction --no-ansi
# run entrypoint.sh
ENTRYPOINT ["/usr/src/app/entrypoint.sh"]
This is the content of entrypoint.sh
:
#!/bin/sh
if [ "$DATABASE" = "postgres" ]
then
echo "Waiting for postgres..."
while ! nc -z $SQL_HOST $SQL_PORT; do
sleep 0.1
done
echo "PostgreSQL started"
fi
python manage.py migrate
exec "$@"
Detailed Explanation
Some points to notice:
I have decide to use
slim
instead ofalpine
as tag for thepython
image because even thoughalpine
images are supposed to reduce the size of Docker images and speed up the build, with Python, you can actually end up with a bit larger image and that takes a while to build (read this article for more info).Using this configuration builds containers faster than using the alpine image because I do not need to add some extra packages to install Python packages properly.
I am installing
poetry
directly from the URL provided in the documentation. I am aware of the warnings provided bysobolevn
. However, I consider that it is better in the long term to use the lates version ofpoetry
by default than relying on an environment variable that I should update periodically.Updating the environment variable
PATH
is crucial. Otherwise, you will get an error saying that poetry was not found.Dependencies are installed directly in the python interpreter of the container. It does not create
poetry
to create a virtual environment before installing the dependencies.
In case you need the alpine
version of this Dockerfile
:
FROM python:alpine
# Keeps Python from generating .pyc files in the container
ENV PYTHONDONTWRITEBYTECODE 1
# Turns off buffering for easier container logging
ENV PYTHONUNBUFFERED 1
# Install dev dependencies
RUN apk update \
&& apk add curl postgresql-dev gcc python3-dev musl-dev openssl-dev libffi-dev
# Install poetry
RUN pip install -U pip \
&& curl -sSL https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py | python -
ENV PATH="${PATH}:/root/.poetry/bin"
WORKDIR /usr/src/app
COPY . .
RUN poetry config virtualenvs.create false \
&& poetry install --no-interaction --no-ansi
# run entrypoint.sh
ENTRYPOINT ["/usr/src/app/entrypoint.sh"]
Notice that the alpine
version needs some dependencies postgresql-dev gcc python3-dev musl-dev openssl-dev libffi-dev
to work properly.
curl -sSL https://install.python-poetry.org | python - --version 1.1.13
to specify a version and not break the build –
Safeguard poetry not found
when tried as non root user. –
Heterosexuality --no-root
. Using this option, poetry will only install dependencies and will not install your app, which is not needed in this context. –
Immoderacy That's minimal configuration that works for me:
FROM python:3.7
ENV PIP_DISABLE_PIP_VERSION_CHECK=on
RUN pip install poetry
WORKDIR /app
COPY poetry.lock pyproject.toml /app/
RUN poetry config virtualenvs.create false
RUN poetry install --no-interaction
COPY . /app
Note that it is not as safe as @sobolevn's configuration.
As a trivia I'll add that if editable installs will be possible for pyproject.toml
projects, a line or two could be deleted:
FROM python:3.7
ENV PIP_DISABLE_PIP_VERSION_CHECK=on
WORKDIR /app
COPY poetry.lock pyproject.toml /app/
RUN pip install -e .
COPY . /app
mymodule
that you would like to be installed -- as Poetry does by default if it finds one -- you need create a dummy version like so before running poetry install: RUN mkdir /app/mymodule && touch /app/mymodule/__init__.py
. This works because Poetry installs these type of modules using pip -e, which just creates a symbolic link. This means thing work as expected when the real modules is copied over it in the final step. (According to mods this is a commment and not an edit -- please try incorporate it into the post if you disagree.) –
Selfpossession poetry new
or poetry init
can help you kickstart new app. –
Klement Here's a stripped example where first a layer with the dependencies (that is only build when these changed) and then one with the full source code is added to an image. Setting poetry
to install into the global site-packages
leaves a configuration artifact that could also be removed.
FROM python:alpine
WORKDIR /app
COPY poetry.lock pyproject.toml ./
RUN pip install --no-cache-dir --upgrade pip \
&& pip install --no-cache-dir poetry \
\
&& poetry config settings.virtualenvs.create false \
&& poetry install --no-dev \
\
&& pip uninstall --yes poetry \
COPY . ./
Use docker multiple stage build and python slim image, export poetry lock to requirements.txt, then install via pip inside virtualenv.
It has smallest size, not require poetry in runtime image, pin the versions of everything.
FROM python:3.9.7 as base
ENV PIP_DISABLE_PIP_VERSION_CHECK=1
WORKDIR /app
FROM base as poetry
RUN pip install poetry==1.1.12
COPY poetry.lock pyproject.toml /app/
RUN poetry export -o requirements.txt
FROM base as build
COPY --from=poetry /app/requirements.txt /tmp/requirements.txt
RUN python -m venv .venv && \
.venv/bin/pip install 'wheel==0.36.2' && \
.venv/bin/pip install -r /tmp/requirements.txt
FROM python:3.9.7-slim as runtime
ENV PIP_DISABLE_PIP_VERSION_CHECK=1
WORKDIR /app
ENV PATH=/app/.venv/bin:$PATH
COPY --from=build /app/.venv /app/.venv
COPY . /app
FROM base as poetry RUN pip install poetry==1.1.13 RUN poetry config virtualenvs.in-project true COPY pyproject.toml poetry.lock /app/ RUN poetry install --no-dev --no-interaction --no-root
–
Pappano My Dockerfile based on @lmiguelvargasf's answer. Do refer to his post for a more detailed explanation. The only significant changes I have are the following:
I am now using the latest official installer
install-poetry.py
instead of the deprecatedget-poetry.py
as recommended in their official documentation. I'm also installing a specific version using the--version
flag but you can alternatively use the environment variablePOETRY_VERSION
. More info on their official docs!The
PATH
I use is/root/.local/bin:$PATH
instead of${PATH}:/root/.poetry/bin
from OP's Dockerfile
FROM python:3.10.4-slim-buster
ENV PYTHONDONTWRITEBYTECODE 1 \
PYTHONUNBUFFERED 1
RUN apt-get update \
&& apt-get install curl -y \
&& curl -sSL https://install.python-poetry.org | python - --version 1.1.13
ENV PATH="/root/.local/bin:$PATH"
WORKDIR /usr/app
COPY pyproject.toml poetry.lock ./
RUN poetry config virtualenvs.create false \
&& poetry install --no-dev --no-interaction --no-ansi
COPY ./src ./
EXPOSE 5000
CMD [ "poetry", "run", "gunicorn", "-b", "0.0.0.0:5000", "test_poetry.app:create_app()" ]
POETRY_VIRTUALENVS_CREATE
environmental variable, not sure if it has a bug with ENVs or not. –
Amazement poetry run gunicorn
:) –
Dinar I've created a solution using a lock package (package which depends on all versions in the lock file). This results in a clean pip-only install without requirements files.
Steps are: build the package, build the lock package, copy both wheels into your container, install both wheels with pip.
Installation is: poetry add --dev poetry-lock-package
Steps outside of docker build are:
poetry build
poetry run poetry-lock-package --build
Then your Dockerfile
should contain:
FROM python:3-slim
COPY dist/*.whl /
RUN pip install --no-cache-dir /*.whl \
&& rm -rf /*.whl
CMD ["python", "-m", "entry_module"]
To allow this to work for multiple platforms, the first steps can be done in a first stage of a multistage build. Example:
FROM python:alpine AS builder
WORKDIR /app
RUN pip install --no-cache-dir --upgrade pip \
&& pip install --no-cache-dir poetry
COPY . ./
RUN poetry add --group dev poetry-lock-package
RUN poetry build
RUN poetry run poetry-lock-package --build
FROM python:alpine
ENV PYTHONUNBUFFERED 1
WORKDIR /app
COPY --from=builder /app/dist/*.whl /
RUN pip install --no-cache-dir /*.whl \
&& rm -rf /*.whl
CMD [ "python", "-m", "entry_module" ]
I provide a Poetry docker image to the community. This image is always available for the latest three Poetry versions and different Python versions. You can pick your favorite:
You can check the Docker file for the practices I applied there. It's quite simple: https://github.com/max-pfeiffer/python-poetry/blob/main/build/Dockerfile
# References: using official Python images
# https://hub.docker.com/_/python
ARG OFFICIAL_PYTHON_IMAGE
FROM ${OFFICIAL_PYTHON_IMAGE}
ARG POETRY_VERSION
LABEL maintainer="Max Pfeiffer <[email protected]>"
# References:
# https://pip.pypa.io/en/stable/topics/caching/#avoiding-caching
# https://pip.pypa.io/en/stable/cli/pip/?highlight=PIP_NO_CACHE_DIR#cmdoption-no-cache-dir
# https://pip.pypa.io/en/stable/cli/pip/?highlight=PIP_DISABLE_PIP_VERSION_CHECK#cmdoption-disable-pip-version-check
# https://pip.pypa.io/en/stable/cli/pip/?highlight=PIP_DEFAULT_TIMEOUT#cmdoption-timeout
# https://pip.pypa.io/en/stable/topics/configuration/#environment-variables
# https://python-poetry.org/docs/#installation
ENV PIP_NO_CACHE_DIR=off \
PIP_DISABLE_PIP_VERSION_CHECK=on \
PIP_DEFAULT_TIMEOUT=100 \
POETRY_VERSION=${POETRY_VERSION} \
POETRY_HOME="/opt/poetry"
ENV PATH="$POETRY_HOME/bin:$PATH"
# https://python-poetry.org/docs/#osx--linux--bashonwindows-install-instructions
RUN apt-get update \
&& apt-get install --no-install-recommends -y \
build-essential \
curl \
&& curl -sSL https://install.python-poetry.org | python - \
&& apt-get purge --auto-remove -y \
build-essential \
curl
This image I use as base image in two other projects where you can see how to utilise Poetry for creating virtual environments and run Python applications using Uvicorn and/or Gunicorn application servers :
- https://github.com/max-pfeiffer/uvicorn-poetry
- https://github.com/max-pfeiffer/uvicorn-gunicorn-poetry
Dockerfile of first image: https://github.com/max-pfeiffer/uvicorn-poetry/blob/main/build/Dockerfile
# The Poetry installation is provided through the base image. Please check the
# base image if you interested in the details.
# Base image: https://hub.docker.com/r/pfeiffermax/python-poetry
# Dockerfile: https://github.com/max-pfeiffer/python-poetry/blob/main/build/Dockerfile
ARG BASE_IMAGE
FROM ${BASE_IMAGE}
ARG APPLICATION_SERVER_PORT
LABEL maintainer="Max Pfeiffer <[email protected]>"
# https://docs.python.org/3/using/cmdline.html#envvar-PYTHONUNBUFFERED
ENV PYTHONUNBUFFERED=1 \
# https://docs.python.org/3/using/cmdline.html#envvar-PYTHONDONTWRITEBYTECODE
PYTHONDONTWRITEBYTECODE=1 \
PYTHONPATH=/application_root \
# https://python-poetry.org/docs/configuration/#virtualenvsin-project
POETRY_VIRTUALENVS_IN_PROJECT=true \
POETRY_CACHE_DIR="/application_root/.cache" \
VIRTUAL_ENVIRONMENT_PATH="/application_root/.venv" \
APPLICATION_SERVER_PORT=$APPLICATION_SERVER_PORT
# Adding the virtual environment to PATH in order to "activate" it.
# https://docs.python.org/3/library/venv.html#how-venvs-work
ENV PATH="$VIRTUAL_ENVIRONMENT_PATH/bin:$PATH"
# Principle of least privilege: create a new user for running the application
RUN groupadd -g 1001 python_application && \
useradd -r -u 1001 -g python_application python_application
# Set the WORKDIR to the application root.
# https://www.uvicorn.org/settings/#development
# https://docs.docker.com/engine/reference/builder/#workdir
WORKDIR ${PYTHONPATH}
RUN chown python_application:python_application ${PYTHONPATH}
# Create cache directory and set permissions because user 1001 has no home
# and poetry cache directory.
# https://python-poetry.org/docs/configuration/#cache-directory
RUN mkdir ${POETRY_CACHE_DIR} && chown python_application:python_application ${POETRY_CACHE_DIR}
# Document the exposed port
# https://docs.docker.com/engine/reference/builder/#expose
EXPOSE ${APPLICATION_SERVER_PORT}
# Use the unpriveledged user to run the application
USER 1001
# Run the uvicorn application server.
CMD exec uvicorn --workers 1 --host 0.0.0.0 --port $APPLICATION_SERVER_PORT app.main:app
If you structured it like this the Dockerfile of a sample application can be as simple as this doing a multistage build: https://github.com/max-pfeiffer/uvicorn-poetry/blob/main/examples/fast_api_multistage_build/Dockerfile
# Be aware that you need to specify these arguments before the first FROM
# see: https://docs.docker.com/engine/reference/builder/#understand-how-arg-and-from-interact
ARG BASE_IMAGE=pfeiffermax/uvicorn-poetry:3.0.0-python3.10.9-slim-bullseye@sha256:cdd772b5e6e3f2feb8d38f3ca7af9b955c886a86a4aecec99bc43897edd8bcbe
FROM ${BASE_IMAGE} as dependencies-build-stage
# install [tool.poetry.dependencies]
# this will install virtual environment into /.venv because of POETRY_VIRTUALENVS_IN_PROJECT=true
# see: https://python-poetry.org/docs/configuration/#virtualenvsin-project
COPY ./poetry.lock ./pyproject.toml /application_root/
RUN poetry install --no-interaction --no-root --without dev
FROM ${BASE_IMAGE} as production-image
# Copy virtual environment
COPY --chown=python_application:python_application --from=dependencies-build-stage /application_root/.venv /application_root/.venv
# Copy application files
COPY --chown=python_application:python_application /app /application_root/app/
I see all the answers here are using the pip way to install Poetry to avoid version issue. The official way to install poetry read POETRY_VERSION env variable if defined to install the most appropriate version.
There is an issue in github here and I think the solution from this ticket is quite interesting:
# `python-base` sets up all our shared environment variables
FROM python:3.8.1-slim as python-base
# python
ENV PYTHONUNBUFFERED=1 \
# prevents python creating .pyc files
PYTHONDONTWRITEBYTECODE=1 \
\
# pip
PIP_NO_CACHE_DIR=off \
PIP_DISABLE_PIP_VERSION_CHECK=on \
PIP_DEFAULT_TIMEOUT=100 \
\
# poetry
# https://python-poetry.org/docs/configuration/#using-environment-variables
POETRY_VERSION=1.0.3 \
# make poetry install to this location
POETRY_HOME="/opt/poetry" \
# make poetry create the virtual environment in the project's root
# it gets named `.venv`
POETRY_VIRTUALENVS_IN_PROJECT=true \
# do not ask any interactive question
POETRY_NO_INTERACTION=1 \
\
# paths
# this is where our requirements + virtual environment will live
PYSETUP_PATH="/opt/pysetup" \
VENV_PATH="/opt/pysetup/.venv"
# prepend poetry and venv to path
ENV PATH="$POETRY_HOME/bin:$VENV_PATH/bin:$PATH"
# `builder-base` stage is used to build deps + create our virtual environment
FROM python-base as builder-base
RUN apt-get update \
&& apt-get install --no-install-recommends -y \
# deps for installing poetry
curl \
# deps for building python deps
build-essential
# install poetry - respects $POETRY_VERSION & $POETRY_HOME
RUN curl -sSL https://raw.githubusercontent.com/sdispater/poetry/master/get-poetry.py | python
# copy project requirement files here to ensure they will be cached.
WORKDIR $PYSETUP_PATH
COPY poetry.lock pyproject.toml ./
# install runtime deps - uses $POETRY_VIRTUALENVS_IN_PROJECT internally
RUN poetry install --no-dev
# `development` image is used during development / testing
FROM python-base as development
ENV FASTAPI_ENV=development
WORKDIR $PYSETUP_PATH
# copy in our built poetry + venv
COPY --from=builder-base $POETRY_HOME $POETRY_HOME
COPY --from=builder-base $PYSETUP_PATH $PYSETUP_PATH
# quicker install as runtime deps are already installed
RUN poetry install
# will become mountpoint of our code
WORKDIR /app
EXPOSE 8000
CMD ["uvicorn", "--reload", "main:app"]
# `production` image used for runtime
FROM python-base as production
ENV FASTAPI_ENV=production
COPY --from=builder-base $PYSETUP_PATH $PYSETUP_PATH
COPY ./app /app/
WORKDIR /app
CMD ["gunicorn", "-k", "uvicorn.workers.UvicornWorker", "main:app"]
Here's a different approach that leaves Poetry intact so you can still use poetry add
etc. This is good if you're using a VS Code devcontainer.
In short, install Poetry, let Poetry create the virtual environment, then enter the virtual environment every time you start a new shell by modifying .bashrc
.
FROM ubuntu:20.04
RUN apt-get update && apt-get install -y python3 python3-pip curl
# Use Python 3 for `python`, `pip`
RUN update-alternatives --install /usr/bin/python python /usr/bin/python3 1 \
&& update-alternatives --install /usr/bin/pip pip /usr/bin/pip3 1
# Install Poetry
RUN curl -sSL https://raw.githubusercontent.com/python-poetry/poetry/master/install-poetry.py | python3 -
ENV PATH "$PATH:/root/.local/bin/"
# Install Poetry packages (maybe remove the poetry.lock line if you don't want/have a lock file)
COPY pyproject.toml ./
COPY poetry.lock ./
RUN poetry install --no-interaction
# Provide a known path for the virtual environment by creating a symlink
RUN ln -s $(poetry env info --path) /var/my-venv
# Clean up project files. You can add them with a Docker mount later.
RUN rm pyproject.toml poetry.lock
# Hide virtual env prompt
ENV VIRTUAL_ENV_DISABLE_PROMPT 1
# Start virtual env when bash starts
RUN echo 'source /var/my-venv/bin/activate' >> ~/.bashrc
Reminder that there's no need to avoid the virtualenv. It doesn't affect performance and Poetry isn't really designed to work without them.
EDIT: @Davos points out that this doesn't work unless you already have a pyproject.toml
and poetry.lock
file. If you need to handle that case, you might be able to use this workaround which should work whether or not those files exist.
COPY pyproject.toml* ./
COPY poetry.lock* ./
RUN poetry init --no-interaction; (exit 0) # Does nothing if pyproject.toml exists
RUN poetry install --no-interaction
The other answers were good but I had to make some modifications based on the following requirements I had:
- I wanted a small image and so wanted to use Alpine.
- I wanted to be sure not to run the final image as root.
- I was particularly focused on being able to run a Poetry script from my
pyproject.toml
by name.
For example, if I have this script in the pyproject.toml
:
...
[tool.poetry.scripts]
my_tool = "my_tool.cli.cli:start"
...
Then, I wanted my_tool
(a CLI) to be my Dockerfile ENTRYPOINT
so that the arguments provided by the container commands would be arguments to my CLI. This solution accomplished exactly what I was looking for:
# Stage - base
FROM python:3.11-alpine3.18 as base
ENV PYTHONFAULTHANDLER=1 \
PYTHONHASHSEED=random \
PYTHONUNBUFFERED=1
WORKDIR /app
# Stage - builder
FROM python:3.11-alpine3.18 as builder
ENV PIP_DEFAULT_TIMEOUT=100 \
PIP_DISABLE_PIP_VERSION_CHECK=1 \
POETRY_VERSION=1.7.0
RUN pip install poetry==$POETRY_VERSION
WORKDIR /app
RUN python -m venv /venv
COPY pyproject.toml poetry.lock ./
RUN . /venv/bin/activate && poetry install --no-dev --no-root
COPY . .
RUN . /venv/bin/activate && poetry build
# Stage - release
FROM base as release
# install sudo as root
RUN apk add --update sudo
# add new user
ENV USER=appuser
RUN adduser -D $USER \
&& echo "$USER ALL=(ALL) NOPASSWD: ALL" > /etc/sudoers.d/$USER \
&& chmod 0440 /etc/sudoers.d/$USER
ENV PATH="/venv/bin:$PATH"
COPY --from=builder /venv /venv
COPY --from=builder /app/dist .
RUN chown -hR $USER /venv
RUN . /venv/bin/activate && pip install *.whl
USER $USER
ENTRYPOINT ["my_cli"]
Dockerfile for my python apps looks like this -
FROM python:3.10-alpine
RUN apk update && apk upgrade
RUN pip install -U pip poetry==1.1.13
WORKDIR /app
COPY . .
RUN poetry export --without-hashes --format=requirements.txt > requirements.txt
RUN pip install -r requirements.txt
EXPOSE 8000
ENTRYPOINT [ "python" ]
CMD ["main.py"]
RUN poetry export --without-hashes --format=requirements.txt > requirements.txt && pip uninstall poetry
Also, I recently faced issues with poetry dependency resolver while working with some ML libraries (found a video that explains that issue - youtube.com/watch?v=Gr9o8MW_pb0). Now I'm reconsidering whether poetry is a good choice :/ –
Sponsor In some corporate environments, you can't run curl
to the hostname install.python-poetry.org
because you use something like Artifactory to install packages from a local repository. Here is a recipe for installing pipx
to install poetry
.
These lines in your Dockerfile
will work if you replace the ${UID}
, ${GID}
and ${USER}
variables with appropriate values.
# Install poetry so we can install our package requirements
RUN python3 -m pip install --no-cache-dir --user pipx && \
python3 -m pipx ensurepath
ENV PATH "/home/jovyan/.local/bin:$PATH"
RUN pipx install poetry==${POETRY_VERSION}
# Copy our poetry configuration files as jovyan user
COPY --chown=${UID}:${GID} pyproject.toml "/home/${USER}/work/"
COPY --chown=${UID}:${GID} poetry.lock "/home/${USER}/work/"
# Install our package requirements via poetry. No venv. Squash max-workers error. Cleanup afterwards.
WORKDIR "/home/${NB_USER}/work"
RUN poetry config virtualenvs.create false && \
poetry config installer.max-workers 10 && \
poetry install --no-interaction --no-ansi --no-root -vvv && \
poetry cache clear pypi --all -n
I added this to my Dockerfile and it worked
RUN pip3 install pipx
RUN pipx install poetry
ENV PATH="/root/.local/bin:${PATH}"
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