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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) Huawei Technologies Co.,Ltd, and others
====================================
Dovetail as a Generic Test Framework
====================================
.. toctree::
:maxdepth: 2
Overview
========
Dovetail is responsible for the technical realization of the OPNFV Verification
Program (OVP) and other compliance verification projects within the scope of
the Linux Foundation Networking (LFN) umbrella projects.
Dovetail provides a generic framework for executing a specific set of test cases
which define the scope of a given compliance verification program, such as OVP.
This document aims at introducing what Dovetail generic framework looks like and
how to develop within this framework.
Introduction of Dovetail Framework
==================================
The following diagram illustrates Dovetail generic framework.
.. image:: ../../../images/dovetail_generic_framework.png
:align: center
:scale: 50%
In this diagram, there are 5 main parts, `TestcaseFactory`, `TestRunnerFactory`,
`CrawlerFactory`, `CheckerFactory` and `test case groups`.
- **TestcaseFactory**: For each project, there needs to create its own
testcase class such as `FunctestTestcase` and `OnapVtpTestcase`. All these
classes are based on class `Testcase`. There are already many functions in this
base class which are mainly used to parse test case configuration files. If no
other special requirements exist, it only needs to initialize these classes with
different types. Otherwise, it needs to overload or add some functions.
- **TestRunnerFactory**: Similar to `TestcaseFactory`, each project has its own
test runner class. Dovetail supports 2 kinds of test runners, `DockerRunner`
and `ShellRunner`. For projects based on Docker, it needs to create
their own test runner classes such as `FunctestRunner` which inherit from class
`DockerRunner`. For other projects that are based on Shell, it can use `ShellRunner`
directly. Test case runners provide many functions to support test cases runs
such as preparing test tool of each project, run all the commands defined by
each test case and clean the environment.
- **Test case groups**: Each group is composed of one project configuration file
and a set of test cases belonging to this project. These groups are used as the
input of test runners to provide information of projects and test cases. For
`ShellRunner`, it only needs test case configuratons as the input.
- **CrawlerFactory**: This is used to parse the results of test cases and record
them with unified format. The original result data report by each project is
different. So it needs to create different crawler classes for different projects
to parse their results.
- **CheckerFactory**: This is used to check the result data generated by crawler.
Each project should have its own checker class due to the different requirements
of different projects.
Development with Dovetail Framework
===================================
Everyone who is interested in developing Dovetail framework to integrate new upstream
test cases will face one of the two following scenarios:
- **Adding test cases that belong to integrated projects**: There are already some
projects integrated in Dovetail. These projects are coming from OPNFV (Open Platform
for NFV) and ONAP (Open Network Automation Platform) communities. It will be
much easier to add new test cases that belong to these projects.
- **Adding test cases that not belong to integrated projects**: The test cases
may belong to other projects that haven't been integrated into Dovetail yet.
These projects could be in OPNFV, ONAP or other communities. This scenario is a
little more complicated.
Test cases belonging to integrated projects
-------------------------------------------
Dovetail framework already includes a large amount of test cases. All these test
cases are implemented by upstream projects in OPNFV and ONAP. The upstream
projects already integrated in Dovetail are Functest, Yardstick and Bottlenecks
from OPNFV and VNF SDK and VVP from ONAP.
In order to add a test case belonging to one of these projects, there
only need to add one test case configuration file which is in yaml format.
Following is the introduction about how to use the file to add one new test case.
Please refer to `Dovetail test case github
<https://github.com/opnfv/dovetail/tree/master/etc/testcase>`_
for all configuration files of all test cases.
.. code-block:: bash
---
Test case name in Dovetail:
name: Test case name in Dovetail
objective: Test case description
validate:
type: 'shell' or name of the project already integrated in Dovetail
testcase: The original test case name called in the project that it is developed
image_name: Name of the Docker image used to run this test
pre_condition:
- 'Commands needed to be executed before running this test'
- 'e.g. cp src_file dest_file'
cmds:
- 'Commands used to run this test case'
post_condition:
- 'Commands needed to be executed after running this test case'
report:
source_archive_files:
- test.log
dest_archive_files:
- path/to/archive/test.log
check_results_files:
- results.json
portal_key_file: path/to/key/logs/xxx.log
sub_testcase_list:
- sub_test_1
- sub_test_2
- sub_test_3
This is the complete format of test case configuration file. Here are some
detailed description for each of the configuration options.
- **Test case name in Dovetail**: All test cases should be named as 'xxx.yyy.zzz'.
This is the alias in Dovetail and has no relationship with its name in its own
project. The first part is used to identify the project where this test case
come from (e.g. functest, onap-vtp). The second part is used to classify this
test case according to test area (e.g. healthcheck, ha). Dovetail supports to
run whole test cases in one test suite with the same test area. Also the area
is used to group all test cases and generate the summary report at the end of
the test. The last part is special for this test case itself (e.g. image,
haproxy, csar). It's better to keep the file name the same as the test case
name to make it easier to find the config file according to this test case
alias in Dovetail.
- **validate**: This is the main section to define how to run this test case.
- **type**: This is the type of this test case. It can be `shell` which means
running this test case with Linux bash commands within Dovetail container. Also it
can be one of the projects already integrated in Dovetail (functest, yardstick,
bottlenecks, onap-vtp and onap-vvp). Then this type is used to map to its project
configuration yaml file. For example, in order to add a test case
in OPNFV project Functest to Dovetail framework, the type here should be
`functest`, and will map to `functest_config.yml` for more configurations
in project level. Please refer to `Dovetail project config github
<https://github.com/opnfv/dovetail/tree/master/etc/conf>`_ for more details.
- **testcase**: This is the name defined in its own project. One test case can
be uniquely identified by `type` and `testcase`. Take the test case
`functest.vping.ssh` as an example. Its `type` is 'functest' and `testcase`
is 'vping_ssh'. With these 2 properties, it can be uniquely identified. End users only
need to know that there is a test case named `functest.vping.ssh` in OVP
compliance test scope. Dovetail Framework will run `vping_ssh` within Functest
Docker container.
- **image_name**: [optional] If the type is `shell`, there is no need to give
this. For other types, there are default docker images defined in their project
configuration files. If this test case uses a different docker image, it needs
to overwrite it by adding `image_name` here. The `image_name` here should only
be the docker image name without tag. The tag is defined in project's configuration
file for all test cases belonging to this project.
- **pre_condition**: [optional] A list of all preparations needed by this
test case. If the list is the same as the default one in its project configuration
file, then there is no need to repeat it here. Otherwise, it's necessary to
overwrite it. If its type is `shell`, then all commands in `pre_condition`,
`cmds` and `post_condition` should be executable within Dovetail Ubuntu 14.04
Docker container. If its type is one of the Docker runner projects, then all
commands should be executable within their own containers. For Functest, it's
alpine 3.8. For Yardstick and Bottlenecks it's Ubuntu 16.04. For VNF SDK it's
Ubuntu 14.04. Also all these commands should not require network connection
because some commercial platforms may be offline environments in private labs.
- **cmds**: [optional] A list of all commands used to run this test case.
- **post_condition**: [optional] A list of all commands needed after executing
this test case such as some clean up operations.
- **report**: This is the section for this test case to archive some log files and
provide the result file for reporting PASS or FAIL.
- **source_archive_files**: [optional] If there is no need to archive any files,
this section can be removed. Otherwise, this is a list of all source files
needed to be archived. All files generated by all integrated projects will be
put under `$DOVETAIL_HOME/results`. In order to classify and avoid overwriting
them, it needs to rename some important files or move them to new directories.
Navigating directory `$DOVETAIL_HOME/results` to find out all files
needed to be archived. The paths here should be relative ones according to
`$DOVETAIL_HOME/results`.
- **dest_archive_files**: [optional] This should be a list corresponding to the
list of `source_archive_files`. Also all paths here should be relative ones
according to `$DOVETAIL_HOME/results`.
- **check_results_files**: This should be a list of relative paths of
the result files generated by this test case. Dovetail will parse these files
to get the result (PASS or FAIL).
- **portal_key_file**: This should be the key log file of this test case which will
be used by the OVP portal for review.
- **sub_testcase_list**: [optional] This section is almost only for Tempest tests
in Functest. Take `functest.tempest.osinterop` as an example. The `sub_testcase_list`
here is an check list for this kind of tempest tests. Only when all sub test
cases list here are passed, this test case can be taken as PASS. The other kind
of tempest tests is `tempest_custom` such as `functest.tempest.image`. Besides
taking the `sub_testcase_list` as the check list, it's also used to generate an
input file of Functest to define the list of sub test cases to be tested.
Test cases not belonging to integrated projects
-----------------------------------------------
If test cases waiting to be added into Dovetail do not belong to any project
that is already integrated into Dovetail framework, then besides adding the test
case configuration files introduced before, there are some other files needed to
be added or modified.
Step 1: Add a project configuration file
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
For a new test case that belongs to a new project, it needs to create a project
configuration file to define this new project in Dovetail first. Now Dovetail
only supports integration of projects by using their Docker images. If this test
case should be run with shell runner, then can only add test case configuration
files with `type` 'shell' as describing before and skip the following steps. Following is
the introduction of how to use project configuration file to add one new project
into Dovetail. Please refer to `Dovetail projects configuration github
<https://github.com/opnfv/dovetail/tree/master/etc/conf>`_ for all configuration
files of all integrated projects.
.. code-block:: bash
---
{% set validate_testcase = validate_testcase or '' %}
{% set testcase = testcase or '' %}
{% set dovetail_home = dovetail_home or '' %}
{% set debug = debug or 'false' %}
{% set build_tag = build_tag or '' %}
{% set userconfig_dir = '/tmp/userconfig' %}
{% set patches_dir = '/tmp/patches' %}
{% set result_dir = '/tmp/results' %}
{% set openrc_file = '/home/conf/env_file' %}
project name:
image_name: name of the docker image
docker_tag: tag of the docker image
opts:
detach: true
stdin_open: true
privileged: true
shell: '/bin/bash'
envs:
- 'CI_DEBUG={{debug}}'
- 'DEPLOY_SCENARIO={{deploy_scenario}}'
- 'ENV_NAME=env_value'
volumes:
- '{{dovetail_home}}/userconfig:{{userconfig_dir}}'
- '{{dovetail_home}}/results:{{result_dir}}'
- '/path/on/host:/path/in/container'
- '/path/of/host/file:/file/path/in/container'
mounts:
- 'source={{dovetail_home}}/pre_config/env_config.sh,target={{openrc_file}}
- 'source={{dovetail_home}}/pre_config,target=/home/opnfv/pre_config'
- 'source=/file/or/derectory/on/host,target=/file/or/derectory/in/container'
patches_dir: {{patches_dir}}
pre_condition:
- 'Commands needed to be executed before running this test'
cmds:
- 'Commands used to run this test case'
post_condition:
- 'Commands needed to be executed after running this test case'
openrc: absolute path of openstack credential files
extra_container:
- container1_name
- container2_name
This is the complete format of project configuration file. Here are some
detailed description for each of the configuration options.
- **Jinja Template**: At the begining of this yaml file, it uses Jinja template
to define some parameters that will be used somewhere in this file (e.g. result_dir
and openrc_file). Besides those, there are some other parameters providing by Dovetail
framework as input of this file, and other parameters can be defined by using these
ones (e.g. testcase and dovetail_home). The whole input parameters which can be used
are list below.
- **attack_host**: This is the attack host name of the test case which calls this
project configuration file. It's only for HA test cases and can be given in HA
configuration file `pod.yaml`.
- **attack_process**: This is the attack process name of the test case which calls
this project configuration file. It's only for HA test cases and can be given in HA
configuration file `pod.yaml`.
- **build_tag**: This is a string includes the UUID generated by Dovetail.
- **cacert**: This is also only for OpenStack test cases. It is the absolute
path of the OpenStack certificate provided in `env_config.sh` file.
- **deploy_scenario**: This is the input when running Dovetail with option
`--deploy-scenario`.
- **debug**: This is `True` or `False` according to the command running test
cases with or without option `--debug`.
- **dovetail_home**: This is the `DOVETAIL_HOME` getting from the ENV.
- **os_insecure**: This is only for test cases aiming at OpenStack. This is
`True` or `False` according to `env_config.sh` file.
- **testcase**: This is the name of the test case which calls this project
configuration file. Different from `validate_testcase`, this is the alias
defined in Dovetail not in its own project.
- **validate_testcase**: This is the name of the test case instance which calls this
project configuration file. The name is provided by the configuration file
of this test case (validate -> testcase).
- **project name**: This is the project name defined in Dovetail. For example
OPNFV Functest project is named as 'functest' here in Dovetail. This project
name will be used by test case configuration files as well as somewhere in
Dovetail source code.
- **image_name**: This is the name of the default Docker image for most test cases
within this project. Each test case can overwrite it with its own configuration.
- **docker_tag**: This is the tag of all Docker images for all test cases within
this project. For each release, it should use one Docker image with a stable
and official release version.
- **opts**: Here are all options used to run Docker containers except 'image',
'command', 'environment', 'volumes', 'mounts' and 'extra_hosts'. For example,
the options include 'detach', 'privileged' and 'tty'. The full list of all
options can be found in `Docker python SDK docs <https://docker-py.readthedocs.io/en/stable/containers.html>`_.
- **shell**: This is the command used to run in the container.
- **envs**: This is a list of all envs used to run Docker containers.
- **volumes**: A volume mapping list used to run Docker containers. The source volumes
list here are allowed to be nonexistent and Docker will create new directories for them
on the host. Every project should at least map the `$DOVETAIL_HOME/results`
in the test host to containers to collect all result files.
- **mounts**: A mount mapping list used to run Docker containers. More powerful alternative
to **volumes**. The source volumes list here are not allowed to be nonexistent.
Every project should at least mount the `$DOVETAIL_HOME/pre_config` in the test host to
containers to get config files.
- **patches_dir**: [optional] This is an absolute path of the patches applied to
the containers.
- **pre_condition**: A list of all default preparations needed by this project.
It can be overwritten by configurations of test cases.
- **cmds**: A list of all default commands used to run all test cases within
this project. Also it can be overwritten by configurations of test cases.
- **post_condition**: A list of all default cleaning commands needed by this
project.
- **openrc**: [optional] If the system under test is OpenStack, then it needs to
provide the absolute path here to copy the credential file in the Test Host to
containers.
- **extra_container**: [optional] The extra containers needed to be removed at the
end of the test. These containers are created by the test cases themselves at
runtime rather than created by Dovetail.
Step 2: Add related classes
^^^^^^^^^^^^^^^^^^^^^^^^^^^
After adding the project and test case configuration files, there also need to
add some related classes into the source code.
- **Test Case class**: Each project should have its own test case class in
`testcase.py` for `TestcaseFactory`.
- **Test Runner class**: Each project should have its own test runner class in
`test_runner.py` for `TestRunnerFactory`.
- **Crawler class**: Each project should have its own test results crawler class
in `report.py` for `CrawlerFactory`.
- **Checker class**: Each project should have its own test results checker class
in `report.py` for `CheckerFactory`.
Step 3: Create related logs
^^^^^^^^^^^^^^^^^^^^^^^^^^^
If the classes added in step2 have function `create_log`, then need to call
these functions in `run.py` to initial the log instances at the very begining.
Step 4: Update unit tests
^^^^^^^^^^^^^^^^^^^^^^^^^
A patch is not going to be verified without 100% coverage when applying acceptance check.
|