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replace dockerfile (#1410)
* replaces Dockerfile using bazel-based build system This commit updates the Dockerfile to work with anki's bazel-based build system. The anki Dockerfile was originally added in https://github.com/ankitects/anki/pull/753 back in September 2020. The file was moved to `docs/Dockerfile` in0d354da93a
, with a note that the file had to be updated to work with anki's updated build system. The file `docs/Dockerfile` was removed in7cd2e9618f
. * install setuptools and wheel + xkb libraries * install anki virtual env in fresh base image * move Dockerfile out of root directory * add readme file for dockerized anki
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docs/docker/Dockerfile
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docs/docker/Dockerfile
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# This Dockerfile uses three stages.
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# 1. Compile anki (and dependencies) and build python wheels.
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# 2. Create a virtual environment containing anki and its dependencies.
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# 3. Create a final image that only includes anki's virtual environment and required
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# system packages.
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ARG PYTHON_VERSION="3.9"
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ARG DEBIAN_FRONTEND="noninteractive"
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# Build anki.
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FROM python:$PYTHON_VERSION AS build
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RUN curl -fsSL https://github.com/bazelbuild/bazelisk/releases/download/v1.7.4/bazelisk-linux-amd64 \
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> /usr/local/bin/bazel \
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&& chmod +x /usr/local/bin/bazel \
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# Bazel expects /usr/bin/python
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&& ln -s /usr/local/bin/python /usr/bin/python
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WORKDIR /opt/anki
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COPY . .
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# Build python wheels.
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RUN ./scripts/build
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# Install pre-compiled Anki.
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FROM python:${PYTHON_VERSION}-slim as installer
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WORKDIR /opt/anki/
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COPY --from=build /opt/anki/bazel-dist/ wheels/
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# Use virtual environment.
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RUN python -m venv venv \
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&& ./venv/bin/python -m pip install --no-cache-dir setuptools wheel \
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&& ./venv/bin/python -m pip install --no-cache-dir /opt/anki/wheels/*.whl
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# We use another build stage here so we don't include the wheels in the final image.
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FROM python:${PYTHON_VERSION}-slim as final
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COPY --from=installer /opt/anki/venv /opt/anki/venv
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ENV PATH=/opt/anki/venv/bin:$PATH
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# Install run-time dependencies.
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RUN apt-get update \
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&& apt-get install --yes --no-install-recommends \
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libasound2 \
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libdbus-1-3 \
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libfontconfig1 \
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libfreetype6 \
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libgl1 \
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libglib2.0-0 \
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libnss3 \
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libxcb-icccm4 \
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libxcb-image0 \
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libxcb-keysyms1 \
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libxcb-randr0 \
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libxcb-render-util0 \
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libxcb-shape0 \
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libxcb-xinerama0 \
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libxcb-xkb1 \
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libxcomposite1 \
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libxcursor1 \
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libxi6 \
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libxkbcommon0 \
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libxkbcommon-x11-0 \
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libxrandr2 \
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libxrender1 \
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libxtst6 \
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&& rm -rf /var/lib/apt/lists/*
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# Add non-root user.
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RUN useradd --create-home anki
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USER anki
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WORKDIR /work
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ENTRYPOINT ["/opt/anki/venv/bin/anki"]
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LABEL maintainer="Jakub Kaczmarzyk <jakub.kaczmarzyk@gmail.com>"
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docs/docker/README.md
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docs/docker/README.md
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# Anki in Docker
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This README contains the instructions for building and running the Anki Docker image.
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Docker provides a standard for installing software on many systems
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(Windows, macOS, Linux), and it allows one to build software without cluttering a system
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with dependencies. The Dockerfile contains the instructions for building the Docker image,
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and it also serves as instructions for how to build Anki from source on Linux.
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# Build the Docker image
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For best results, enable BuildKit (`export DOCKER_BUILDKIT=1`).
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When in this current directory, one can build the Docker image like this:
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```bash
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docker build --tag anki --file Dockerfile ../../
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```
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When this is done, run `docker image ls` to see that the image has been created.
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If one wants to build from the project's root directory, use this command:
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```bash
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docker build --tag anki --file docs/docker/Dockerfile .
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```
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# Run the Docker image
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Anki starts a graphical user interface, and this requires some extra setup on the user's
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end. These instructions were tested on Linux (Debian 11) and will have to be adapted for
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other operating systems.
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To allow the Docker container to pull up a graphical user interface, we need to run the
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following:
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```bash
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xhost +local:root
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```
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Once done using Anki, undo this with
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```bash
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xhost -local:root
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```
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Then, we will construct our `docker run` command:
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```bash
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docker run --rm -it \
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--name anki \
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--volume $HOME/.local/share:$HOME/.local/share:rw \
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--volume /etc/passwd:/etc/passwd:ro \
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--user $(id -u):$(id -g) \
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--volume /tmp/.X11-unix:/tmp/.X11-unix:rw \
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--env DISPLAY=$DISPLAY \
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anki
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```
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Here is a breakdown of some of the arguments:
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- Mount the current user's `~/.local/share` directory onto the container. Anki saves things
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into this directory, and if we don't mount it, we will lose any changes once the
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container exits. We mount this as read-write (`rw`) because we want to make changes here.
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```bash
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--volume $HOME/.local/share:$HOME/.local/share:rw
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```
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- Mount `/etc/passwd` so we can enter the container as ourselves. We mount this as
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read-only because we definitely do not want to modify this.
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```bash
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--volume /etc/passwd:/etc/passwd:ro
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```
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- Enter the container with our user ID and group ID, so we stay as ourselves.
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```bash
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--user $(id -u):$(id -g)
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```
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- Mount the X11 directory that allows us to open displays.
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```bash
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--volume /tmp/.X11-unix:/tmp/.X11-unix:rw
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```
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- Pass the `DISPLAY` variable to the container, so it knows where to display graphics.
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```bash
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--env DISPLAY=$DISPLAY
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```
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# Running Dockerized Anki easily from the command line
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One can create a shell function that executes the `docker run` command. Then one can
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simply run `anki` on the command line, and Anki will open in Docker. Make sure to change
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the image name to whatever you used when building Anki.
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```bash
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anki() {
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docker run --rm -it \
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--name anki \
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--volume $HOME/.local/share:$HOME/.local/share:rw \
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--volume /etc/passwd:/etc/passwd:ro \
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--user $(id -u):$(id -g) \
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--volume /tmp/.X11-unix:/tmp/.X11-unix:rw \
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--env DISPLAY=$DISPLAY \
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anki "$@"
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}
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```
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