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anki/docs/docker.md
Damien Elmes aea0a6fcc6 initial Bazel conversion 
Running and testing should be working on the three platforms, but
there's still a fair bit that needs to be done:

- Wheel building + testing in a venv still needs to be implemented.
- Python requirements still need to be compiled with piptool and pinned;
need to compile on all platforms then merge
- Cargo deps in cargo/ and rslib/ need to be cleaned up, and ideally
unified into one place
- Currently using rustls to work around openssl compilation issues
on Linux, but this will break corporate proxies with custom SSL
authorities; need to conditionally use openssl or use
https://github.com/seanmonstar/reqwest/pull/1058
- Makefiles and docs still need cleaning up
- It may make sense to reparent ts/* to the top level, as we don't
nest the other modules under a specific language.
- rspy and pylib must always be updated in lock-step, so merging
rspy into pylib as a private module would simplify things.
- Merging desktop-ftl and mobile-ftl into the core ftl would make
managing and updating translations easier.
- Obsolete scripts need removing.
- And probably more.
2020-11-01 14:26:58 +10:00

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Needs updating

The following was written before the build system changed, and will need modifications to work.

Anki in Docker

Anki can optionally be built and run with Docker, which will automate the installation of Anki's build dependencies. The instructions below cover running Docker on Linux; to run it on other platforms you will need to run an X server and adapt the instructions.

For information on building Anki outside of Docker, please see README.development.

Running Anki in Docker

Build and then run the image. The docker run command below runs the image as the current user, and it mounts the user's $HOME directory, which is where Anki stores its local files.

docker build --tag anki .
xhost +local:root  # Undo when done with `xhost -local:root`
docker run \
    --rm -it \
    --user 1000:1000 \
    --volume $HOME/.local/share:$HOME/.local/share:rw \
    --volume /etc/passwd:/etc/passwd:ro \
    --volume /tmp/.X11-unix:/tmp/.X11-unix:rw \
    --env DISPLAY=$DISPLAY \
    anki
xhost -local:root

Developing Anki in Docker

Build your local source tree in Docker.

  1. Build the Docker image with build-time dependencies. The Anki Dockerfile uses multi-stage builds, so the target is the first stage, which includes only the dependencies.

    ```
docker build --tag anki:dependencies --target dependencies .
```

  2. Compile your source tree

    Start the image with dependencies in the background. It is important to run the image as the current user, because otherwise, some files in the source tree will be owned by root. Find user id with id -u and group ID with id -g. These values are passed to --user as in --user $(id -u):$(id -g).

    docker run --rm -it \
    --name ankibuilder \
    --detach \
    --workdir /work
    --volume "$PWD":/work:rw \
    --user 1000:1000 \
    --volume /etc/passwd:/etc/passwd:ro \
    --volume /tmp/.X11-unix:/tmp/.X11-unix:rw \
    --env DISPLAY=$DISPLAY \
    anki:dependencies bash

    Allow the Docker container to use the local X server and show the GUI.

    xhost +local:root

    (Undo this when done with xhost -local:root)

    Compile.

    docker exec -it ankibuilder make run

    The Anki graphical user interface should appear. The first run will take some time because Rust code has to be compiled and Python dependencies have to be downloaded, etc. The following runs will be much faster.

    To compile without running the GUI, use make develop.

  3. Other common operations

    If system packages need to be installed, use apt-get as below. The Docker image is based on a Debian Stable image.

    docker exec -it --user root ankibuilder apt-get update
docker exec -it --user root ankibuilder apt-get install PACKAGES

    An interactive bash shell can be started with

    docker exec -it ankibuilder bash

    or as root user

    docker exec -it --user root ankibuilder bash