.. This work is licensed under a Creative Commons Attribution 4.0 International .. License. .. http://creativecommons.org/licenses/by/4.0 .. (c) OPNFV, Huawei Technologies Co.,Ltd and others. =========================== Dovetail Tool Installation =========================== Abstract ######## The Dovetail tool supports installation either directly on the Linux host, or within a Docker container. The detailed installation procedure on the Linux host or via the Docker container are shown in the following sections. There is a need to config the following parameters before Dovetail tool running on the SUT (System Under Test): :: SUT_TYPE, SUT type, e.g., apex, compass, fuel, joid, etc SUT_IP, SUT external network IP, e.g., 192.168.200.2 NODE_NAME, this can be shown in the test result for users to see which pod the dovetail tool runs DEPLOY_SCENARIO, deployment scenario, e.g., os-nosdn-nofeature-ha BUILD_TAG, this can be shown in the test result for users to identify logs CI_DEBUG, true for debug information printed and false for not printed DEPLOY_TYPE, baremetal or virtual Dovetail tool installation on local Linux host environment ########################################################## In order to install Dovetail into a local Linux host environment, the following steps should be performed: Downloading Dovetail tool -------------------------- Source code downloading: :: git clone https://gerrit.opnfv.org/gerrit/dovetail Environment preparation ----------------------- Dovetail configuration: :: cd {dovetail_path}/dovetail/conf vim functest_config.yml vim yardstick_config.yml To modify the ``envs`` parameters, e.g., SUT_TYPE, SUT_IP, NODE_NAME, DEPLOY_SCENARIO, BUILD_TAG, CI_DEBUG, DEPLOY_TYPE, in the yml files. System dependencies are installed via the ``prepare_env.py`` file, and you will need ``sudo`` access to complete the installation. :: cd {dovetail_path}/dovetail/dovetail python prepare_env.py At this point the environment is now ready for Dovetail execution. Compliance and certification test cases ---------------------------------------- The compliance and certification test cases can be defined under the ``/dovetail/cert`` directory, which is defined in yaml format. A sample file named ``basic.yml`` is provided as follows: :: certification_basic: name: certification_basic testcase_list: - dovetail.ipv6.tc001 The testcase listed here is dovetail.ipv6.tc001, defined within ``dovetail/testcase``. Note: if a new test case yaml file is created, its name should start with ``certification_``, in similiar fashion as the sample file ``certification_basic``. Running Dovetail tool --------------------- After environment preparation is complete and test cases added, the Dovetail tool can be run with :: python run.py --scenario basic The value ``basic`` passed to the ``scenario`` flag can be replaced with the test cases yaml file. If not argument is given, the basic scenario will be run as the default. Running Dovetail in a Docker container ######################################## The Dovetail tool can be run in a Docker container by utilizing the following steps: Pull Dovetail Docker image from public Dockerhub ------------------------------------------------ :: sudo docker pull opnfv/dovetail: here is the version, 'latest' is used for the master branch. Dovetail Docker container creation ---------------------------------- Next, create the ``dovetail-docker-env`` file to define the environment parameters :: INSTALLER_TYPE=compass INSTALLER_IP=192.168.200.2 DEPLOY_TYPE=baremetal DEPLOY_SCENARIO=ha-nosdn CI_DEBUG=true Then to instantiate the Dovetail Docker container, execute:: sudo docker run --privileged=true --rm -t \ --env-file dovetail-docker-env \ -v /home/opnfv/dovetail/results:/home/opnfv/dovetail/results \ -v /var/run/docker.sock:/var/run/docker.sock \ --name \ opnfv/dovetail: /bin/bash To attach dovetail container and Running test cases ---------------------------------------------------- Before connecting to the container, you can check the container status by running :: docker ps -a Attach to the container by starting it and obtaining a bash prompt with :: docker exec -it bash Inside the container the following commands can be executed to trigger the testcases :: cd /home/opnfv/dovetail/dovetail python run.py --scenario basic Results Output ############### The running log is stored in ``/home/opnfv/dovetail/results/dovetail.log``. The certification report is stored in ``/home/opnfv/dovetail/results/dovetail_report.txt``.