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Labgrid Docker images

This folder contains Dockerfile's for building Docker images for the 3 different components of a Labgrid distributed infrastructure.

  • labgrid-coordinator An image for with crossbar which can be used to run a Labgrid coordinator instance.
  • labgrid-client An image with the Labgrid client tools and pytest integration.
  • labgrid-exporter An image with the Labgrid exporter tools.

Build

To build one of the above images, you need to run the docker build command in the root of this repository. Example showing how to build labgrid-client image:

$ docker build --target labgrid-client -t labgrid-client -f dockerfiles/Dockerfile .

Using BuildKit is recommended to reduce build times.

You can also choose to build all 3 images, with the included script (which also must be run from the root of this repository):

$ pip install --upgrade setuptools_scm
$ ./dockerfiles/build.sh

The script supports podman as well

$ export DOCKER=podman
$ ./dockerfiles/build.sh

Usage

All 3 images are to be considered base images with the required software installed. No policy or configuration is done.

labgrid-coordinator usage

The labgrid-coordinator comes with a preconfigured Crossbar.io server.

It listens to port 20408, so you probably want to publish that so you can talk to the coordinator.

State is written to /opt/crossbar. You might want to bind a volume to that so you can restart the service without loosing state.

$ docker run -t -p 20408:20408 -v $HOME/crossbar:/opt/crossbar \
      labgrid-coordinator

labgrid-client usage

The labgrid-client image can be used to run labgrid-client and pytest commands. For example listing available places registered at coordinator at ws:https://192.168.1.42:20408/ws

$ docker run -e LG_CROSSBAR=ws:https://192.168.1.42:20408/ws labgrid-client \
      labgrid-client places

Or running all pytest/labgrid tests at current directory:

$ docker run -e LG_CROSSBAR=ws:https://192.168.1.42:20408/ws labgrid-client \
      pytest

labgrid-exporter usage

The labgrid-exporter image runs a labgrid-exporter and optionally an ser2net service.

Configuration is not included, but needs to be bind mounted to /opt/conf/exporter.yaml and /opt/conf/ser2net.conf (optional).

Start it with something like:

$ docker run -e LG_CROSSBAR=ws:https://192.168.1.42:20408/ws \
    -v $HOME/exporter-conf:/opt/conf \
      labgrid-exporter

If using ser2net or if "exporting" e.g. a serial device, the devices needed must be added to Docker container (docker run --device option). Moreover, if using udev this must be mounted in as well: docker run -v run/udev:/run/udev:ro.

Staging

The staging folder contains a docker compose based example setup, where the images described above are used to create a setup with the following instances

  • coordinator
  • exporter
  • client
  • dut

The environment serves both to allow checking if the environment still function after changes, and can act as an example how to configure the docker images needed to run a minimal setup.

To use the staging environment to conduct a smoke test first build the images as instructed below:

$ pip install --upgrade setuptools_scm
$ ./dockerfiles/build.sh

Then use docker compose to start all services except the client:

$ cd dockerfiles/staging
$ CURRENT_UID=$(id -u):$(id -g) docker-compose up -d coordinator exporter dut

To run the smoke test just run the client:

$ docker-compose up client