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.. 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:<Tag>
<Tag> 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 <Dovetail_Container_Name> \
opnfv/dovetail:<Tag> /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 <Dovetail_Container_Name> 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``.
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