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Usage with Docker
To be able to use Docker in your system, you need to have installed Docker-engine. Step-by-step instructions for this for Windows 10, MacOS, and Linux distributions can be found in Docker documentation.
These instructions have been written for Linux use, but most of them should work also when using Windows or MacOS. In Windows you should use a Command Prompt or PowerShell terminal window for entering the commands.
"Installation" is very easy: The following command will download the Docker image for Annif from quay.io registry (if the image does not yet exist locally) and start the Bash shell in a container:
docker run -it quay.io/natlibfi/annif bash
In the shell it is possible to run Annif Commands (here the -it
option is for enabling interactive mode). The container can be exited with exit
command. (Note that by default Docker image with the latest
tag is used, which in case of Annif is build on the current master
git branch; to use an image of a specific release, append the image name with a colon and the release version number, use e.g. quay.io/natlibfi/annif:0.42
. The first release with Docker image is 0.42)
However, the Annif image itself does not contain any vocabulary or training data. A directory containing these can be bind mounted from the host file system to the container using the syntax -v /absolute_path/on/host:/path/in/container
after the docker run
command. (Alternatively, it is possible to create and mount a named volume, which initially is empty, and get data into it by copying from host or fetching from internet, e.g. using wget in a running container to dowload Annif-corpora Git Hub page.
Also, the user in a docker container is by default not the same as on the host system and any file created in a container is not owned by the host user, and with bind mounts this can lead to problems with file permissions. Therefore it is best to make the user in the container the same as on the host, using -u $(id -u):$(id -g)
(in Windows this is not possible and this option can be omitted).
With the bind-mount and user-setting options the command to run bash in a container with Annif looks like this:
docker run \
-v ~/annif-projects:/annif-projects \
-u $(id -u):$(id -g) \
-it quay.io/natlibfi/annif bash
Here the annif-projects/
directory is assumed to exist in home directory on host (and it is mounted with the same name on the root of the container filesystem). From here on the post-installation steps for using Annif in Getting Started can be followed.
Specifically, the template configuration file projects.cfg.dist
can be placed to ~/annif-projects/
in the host system with the name projects.cfg
along the vocabulary and training data (e.g. Annif-corpora).
Note that any data should not be stored in other locations in the container but in the mounted directory, as after the container has stopped, it is not convenient to gain access to the data again.
If the web UI started by annif run
is used from within the container, also the option --network="host"
needs to be included in the docker run
command.
Different containerized services can be conveniently linked together by using docker-compose. The instructions to set up the services are in docker-compose.yml
, which in this case instructs docker to start separate containers for
- bash shell to run Annif commands
- Gunicorn server running Annif Web UI
- NGINX proxy server
- Maui Server to access Maui backend
To start these services, while in a directory where the docker-compose.yml
is (download the file or whole Annif repository), run
ANNIF_PROJECTS=~/annif-projects MY_UID=$(id -u) MY_GID=$(id -g) docker-compose up
Here the environment variables are needed for mounting the directory for vocabulary and training data files and setting the user in the container the same as on the host. In Windows setting these variables should be omitted and the lines including MY_UID
and MY_GID
in docker-compose.yml
removed, and there also the path of the directory to be mounted should be directly given in place of ${ANNIF_PROJECTS}
(e.g. c:/users/example.user/annif/annif-projects/
). Once the services have started, the Annif web UI is accessible at http://localhost/ run by NGINX (see this in case of problems for accessing localhost in Windows).
To connect to the already running bash
service for using Annif commands, run
docker exec -it -u $(id -u):$(id -g) annif_bash_1 bash
In the shell all the Annif commands can now be used, and the Maui backend can be used as instructed, with the exception that in the endpoint entries of projects.cfg
file the localhost
needs to be replaced with mauiserver
(i.e. the full entry is then endpoint=http://mauiserver:8080/mauiserver/
).
The docker-compose.yml
can be edited to remove unnecessary services, e.g. if if one only wants to use the Maui backend. Note that the mauiserver container can also be run withouth docker-compose
.
Note also that the docker run
or docker-compose up
commands do not automatically fetch a new version of an image, even if one is available in repository. To update to the most recent image or images, you must run docker pull IMAGE_NAME
or docker-compose pull
.
It is possible to mount also the Annif source code into the container, which allows editing the code in the host system while running Annif and tests in the container. For this an image that includes the tests needs to be build:
docker build -f Dockerfile-dev -t annif-dev .
Then a container from that image can be run:
docker run \
-v ~/annif-projects:/annif-projects \
-v $(pwd):/Annif \
-u $(id -u):$(id -g) \
-it annif-dev bash
- Home
- Getting started
- System requirements
- Optional features and dependencies
- Usage with Docker
- Architecture
- Commands
- Web user interface
- REST API
- Corpus formats
- Project configuration
- Analyzers
- Transforms
- Language detection
- Hugging Face Hub integration
- Achieving good results
- Reusing preprocessed training data
- Running as a WSGI service
- Backward compatibility between Annif releases
- Backends
- Development flow, branches and tags
- Release process
- Creating a new backend