File: README.rst

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labgrid 0.4.1-6
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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:

.. code-block:: bash

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

Using `BuildKit <https://docs.docker.com/develop/develop-images/build_enhancements/>`_
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):

.. code-block:: bash

   $ ./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.

.. code-block:: bash

   $ 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://192.168.1.42:20408/ws

.. code-block:: bash

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

Or running all pytest/labgrid tests at current directory:

.. code-block:: bash

   $ docker run -e LG_CROSSBAR=ws://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:

.. code-block:: bash

   $ docker run -e LG_CROSSBAR=ws://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:

.. code-block:: bash

   $ ./dockerfiles/build.sh

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

.. code-block:: bash

   $ 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:

.. code-block:: bash

   $ docker-compose up client