Mordred in a container

To produce a dashboard with Mordred, you can also use some containers, available from DockerHub, ready to work:

  • grimoirelab/installed: includes all GrimoireLab components, and after booting up, it runs Mordred by default. This image does not include Elasticsearch, Kibiter or MariaDB: they shouldl be available in the host where it is run, in the standard ports.

  • grimoirelab/full. Includes GrimoireLab and runs Mordred, as grimoirelab/installed does, but also includes all services needed to produce a dashboard: Elasticsearch, MariaDB, and Kibiter.

grimoirelab/full is the best option if you just want a painless experience of building a dashboard, and don't mind pulling a large docker image. grimoirelab/installed is smaller, and more suitable for using GrimoireLab if you already have Elasticsearch, MariaDB and Kibiter available in your host or somewhere else.

For using these container images, ensure you have a recent version of docker installed, see Docker installation instructions). The examples have been tested with 17.x in Debian GNU/Linux,

Running grimoirelab/full

To try it this container image, just run it as follows:

$ docker run -p 127.0.0.1:5601:5601 \
    -v $(pwd)/credentials.cfg:/override.cfg \
    -t grimoirelab/full

credentials.cfg should have a GitHub API token (see Personal GitHub API tokens), in a mordred.cfg format:

[github]
api-token = XXX

This will pull the grimoirelab/full Docker container image from DockerHub (if it is not already in the local host), and will run it. Upon running it, the container will launch Elasticsearch, MariaDB, and Kibana, so they will be ready when the container launches Mordred to produce a complete GrimoireLab dashboard. With the default configuration, a dashboard for the GrimoireLab project will be produced. Once produced, you can just point your browser to http://localhost:5601 and voila.

The docker run command line above exposed port 5601 in the container to be reachable from the host, as localhost:5601. If you omit "127.0.0.1:", it will be reachable to any other machine reaching your host, so be careful: by default there is no access control in the Kibiter used by this container.

The command above uses the /override.cfg file for the configuration for Mordred. In fact, this is the fourth configuration file in a chain of configuration files for Mordred. The other three, whcih capture specifics parts of the configuration, can be substituted when launching the container. The first one, /infra.cfg has the configuration for finding the infrastructure needed to run (Elasticsearch, Kibiter, MariaDB, etc.), and is likely that you don't need to change it except if you want to use some external service instead of those provided by the container. Then, /dashboard.cfg, has the general configuration for producing a dashboard, with some tweeks that seem apprpriate for a demo dashboard. It can be adapted to produce the dashboard in on other ways. The third one, /project.cfg, has the configuration specific for the project to analyze (GrimoireLab itself, in this case).

A slightly different command line is as follows:

$ docker run -p 127.0.0.1:9200:9200 -p 127.0.0.1:5601:5601 \
    -v $(pwd)/logs:/logs \
    -v $(pwd)/credentials.cfg:/override.cfg \
    -t grimoirelab/full

This one will expose also port 9200, which corresponds to Elasticsearch. This allows direct queries to the indexes stored in it. In addition, it also mounts a local directory (logs) so that the container writes Mordred logs in it.

By default, Elasticsearch will store indexes within the container image, which means they are not persistent if the image shuts down. But you can mount a local directory for Elasticsearch to write the indexes in it. this way they will be available from one run of the image to the next one. For example, to let Elasticsearch use directory es-data to write the indexes:

$ docker run -p 127.0.0.1:9200:9200 -p 127.0.0.1:5601:5601 \
    -v $(pwd)/logs:/logs \
    -v $(pwd)/credentials.cfg:/override.cfg \
    -v $(pwd)/es-data:/var/lib/elasticsearch \
    -t grimoirelab/full

The grimoirelab/full container, by default, produces a dashboard showing an analysis of the CHAOSS project. If you want to change the list of repositories to analyze, you need to create a projects.json file, and override with it the one that the container uses. For the format of that file, see the section The projects file. The file to override is /projects.json in the container, so the command to run it could be (assuming the file was created as projects.json in the current directory):

$ docker run -p 127.0.0.1:9200:9200 -p 127.0.0.1:5601:5601 \
    -v $(pwd)/logs:/logs \
    -v $(pwd)/credentials.cfg:/override.cfg \
    -v $(pwd)/projects.json:/projects.json \
    -t grimoirelab/full

You can also get a shell in the running container, and run arbitrary GrimoireLab commands (container_id is the identifier of the running container, that you can find out with docker ps, or by looking at the first line when running the container):

$ docker exec -it container_id env TERM=xterm /bin/bash

In the shell prompt, write any GrimoireLab command. And if you have mounted external files for the Mordred configuration, you can modify them, and run Mordred again, to change its behaviour.

If you want to connect to the dashboard to issue your own commands, but don't want it to run Mordred by itsef, run the container setting RUN_MORDRED to NO:

$ docker run -p 127.0.0.1:9200:9200 -p 127.0.0.1:5601:5601 \
    -v $(pwd)/logs:/logs \
    -v $(pwd)/credentials.cfg:/override.cfg \
    -v $(pwd)/es-data:/var/lib/elasticsearch \
    -e RUN_MORDRED=NO \
    -t grimoirelab/full

This will make the container launch all services, but not running mordred: you can now use the container the way you may want, getting a shell with docker exec.

Warning When Mordred is done, the container stays forever (well, in fact for a long number of days), so that Kibana is still available to produce the dashboard for your browser. When you want to kill the container, it is not enough to just type <CTRL> C, sice that will only kill the shell, but the services on the background will stay. You will need to use docker kill to kill the container.

Running grimoirelab/installed

For running the grimoirelab/installed docker image, first set up the supporting systems in your host, as detailed in the Supporting systems section. Finally, compose a Mordred configuration file with credentials and references the supporting system. For example:

[es_collection]
url = http://localhost:9200
user =
password =

[es_enrichment]
url = http://127.0.0.1:9200
user =
password =

[sortinghat]
host = localhost
user = jgb
password = XXX
database = grimoirelab_sh

[github]
api-token = XXX

The first lines specify how to access Elasticsearch (the link to its REST API, and credentials) for managing both raw (es_collection) and enriched (es_enrichment) indexes. The values in this example are the default ones if you just install Elasticsearch as explained in the Supporting Systems section.

Then, there are some lines for the SortingHat database: they should be the location (localhost in this case) of MariaDB or MySQL, credentials for accesing it, and the name of the SortingHat database (schema) you want to use (if it does not exist, it will be created).

The last two lines specify your GitHub user token, which is needed to access the GitHub API. This is because the default behavior of the container is to visit GitHub as one of the data sources to collect.

Now, just run the container as:

$ docker run --net="host" \
  -v $(pwd)/credentials.cfg:/override.cfg \
  grimoirelab/installed

credentials.cfg is the name of the Mordred configuration file mentioned above.

This will pull the image from DockerHub, and run it allowing it to "see" the network ports of the host. This way, GrimoireLab tools running in the contaniner will be able of connecting to Elasticsearch to produce and consume indexes, and MariaDB or MySQQL to manage the SortingHat database.

If run as above, the container will run Mordred, which in turn will run the GrimoireLab tools needed to produce a standard dashboard for the GrimoireLab project.

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