Clone this repo:
  1. 1c105f9 Setting new default for etcd prefix by Matteo Scandolo · 2 hours ago master
  2. 3871cf7 Narrowing down onu reasons more precisely for reconcile/restart tests by TorstenThieme · 32 hours ago
  3. 105c598 Fix small error in voltctl by TorstenThieme · 2 days ago
  4. 70bc526 [VOL-3751] ONU adapter restart test for TT by TorstenThieme · 3 days ago
  5. c3c2323 [VOL-3701] ONU adapter restart test for DT by TorstenThieme · 9 days ago

VOLTHA System Tests

Automated test-suites to validate the stability/functionality of VOLTHA. Tests that reside in here should be written in Robot Framework and Python.

Intended use includes:

  • Functional testing
  • Integration and Acceptance testing
  • Sanity and Regression testing
  • Scale Testing using BBSIM
  • Failure scenario testing

Learn more about VOLTHA System Test in Test Automation Brigade.


  • Python 3.5 or later and virtualenv

  • voltctl - a command line tool to access VOLTHA. Reference - voltctl

  • kubectl - a command line tool to access your Kubernetes Clusters. Reference - kubectl

  • voltctl and kubectl must be properly configured on your system prior to any test executions. The kind-voltha environment will install and configure these tools for you; see below.

Directory is structured as follows:

├── tests
  └── functional/       // feature/functionality tests that should be implemented as new features get developed
└── libraries           // shared test keywords (functions) across various test suites
└── variables           // shared variables across various test suites

Setting up a test environment

An easy way to bring up VOLTHA + BBSim for testing is by using kind-voltha. To set up a minimal environment, first install Docker.

NOTE: Please make sure you are able to run the docker command (your user is in the docker group)

If you don't have a Kubernetes cluster, please use the following command to set up the cluster provided by kind-voltha and install required tools.

git clone
cd kind-voltha

If you prefer to use your own Kubernetes cluster, please read the document kind-voltha configuration options first to see how to configure the kind-voltha installation behavior.

Recommended software versions

  • Helm: v2.14.3
  • Kubernetes: v1.15.5
  • KIND: v0.5.1

You can skip the installation of Kubernetes cluster and Helm by setting environment variables. For example, run the following command to install VOLTHA only in an existing cluster.

git clone
cd kind-voltha

The Helm values file kind-voltha/minimal-values.yaml determines which images will be deployed on the Kubernetes cluster. The default is master images from VOLTHA's Docker Hub repository. You can modify this file as needed, for example to deploy released images or private test images.

DT Workflow

If you want to install voltha for the DT Workflow, add WITH_RADIUS=n WITH_EAPOL=n WITH_DHCP=n WITH_IGMP=n CONFIG_SADIS=n flags in the ./voltha up command above.

Debug the kind-voltha installation

If you meet any issues when you set up the VOLTHA testing environment by running ./voltha up, you can see the installation logs from the file kind-voltha/install-minimal.log.

Running the sanity tests

Assuming that you have brought up VOLTHA as described above, you can run a simple E2E "sanity" test as follows:

git clone
make -C voltha-system-tests sanity-single-kind

The tests generate three report files in voltha-system-tests/tests/functional (output.xml, report.html, log.html). View the report.html page in a browser to analyze the results. If you're running on a remote system, you can start a web server with python3 -m http.server.

DT Workflow

To run the sanity tests for the DT Workflow, use sanity-kind-dt as the make target.

git clone
make -C voltha-system-tests sanity-kind-dt

The tests generate three report files in voltha-system-tests/tests/dt-workflow/ (output.xml, report.html, log.html). View the report.html page in a browser to analyze the results. If you're running on a remote system, you can start a web server with python3 -m http.server.

Test variables

The make sanity-single-kind target is a shortcut that specifies a number of variables used by the tests:

  • ROBOT_FILE: The test suite file in tests/functional that will be invoked by robot.

  • ROBOT_MISC_ARGS: Robot arguments passed directly to robot, for example to specify which test cases to run. If you are running in a non-standard environment (e.g., not created by kind-voltha) you may need to override some default variable settings for your environment. See variables.robot for the list of defaults.

  • ROBOT_CONFIG_FILE: The YAML pod deployment file used to drive the test. Examples are in the tests/data directory.

Running Tests on Physical POD

Assuming that a POD is available with all the required hardware and connections, we can deploy the POD by following the procedure in this section below.

Deploying POD

Deploying POD can be either manual or automated using Jenkins job. You can install it manually by following these steps below.

git clone
cd kind-voltha/

Note: replace PATH_TO_YOUR_K8S_CONFIG_FILE with your Kubernetes configuration file. To create one please check this example. For more information on various environment variables with ./voltha up please check the link here

Dataplane test prerequisites

The dataplane tests evaluate whether bandwidth and tech profiles are working as expected. These tests will only run on a physical pod. In order to run them it is required to manually install some additional software on the POD hosts that emulate the RG and BNG.

On the RG hosts:

  • Install iperf3 version 3.7, available here:
  • Install jq: sudo apt install jq
  • Install mausezahn: sudo apt install netsniff-ng
  • Ensure that the following commands can be run as sudo with no password: tcpdump, mausezahn, pkill

On the BNG host:

  • Install iperf3 version 3.7, available here:
  • Run iperf3 in server mode in the background: iperf3 --server -D
  • Install jq: sudo apt install jq
  • Install mausezahn: sudo apt install netsniff-ng
  • Ensure that the following commands can be run as sudo with no password: tcpdump, mausezahn, pkill

In the POD's deployment config file, specify login information for the BNG host using the noroot_ip, noroot_user, and noroot_pass options. See the Tucson pod's config for an example.

Functional Testcases

All functional test cases are placed under functional folder.

Voltha_PODTests.robot consists of functional testcases that can be run on a physical POD.

Each robot testcase has a description in the Documentation section.

The same suite of tests can be run on any POD because parameters needed for the test are written in .yaml file. Instead of hardcoding the POD specific variables in the test case, tests rely on a separate configuration file which describes the POD setup. This .yaml file contains details like the ONUs, OLT, nodes etc.

To create a configuration file for your POD, check this example

Input data are stored in the data folder. Few examples of input data could be, test specific SADIS configurations, tech profiles etc. Please give appropriate file names to the input files.

To trigger tests on the physical POD

git clone
cd voltha-system-tests

Note: PATH_TO_YOUR_POD_CONFIGURATION_FILE should point to the YAML file that describes your POD setup.

Scenarios in each test suite can be associated with a Tag, using which a particular scenario can be invoked during test execution. As an example to execute only one testcase with tag test1 from the test suite you can run:


Adding to the tests

Tests should be written in RobotFramework as they need to be integrated with Jenkins test jobs. Libraries can be written in python or RobotFramework. Most additions should be done by adding keywords to the libraries, then calling these keywords from the tests. Consult a guide on how to write good Robot framework tests.

The cord-robot package provides a number of useful keywords for writing VOLTHA tests. See this link for information on how to import the library into a Robot test suite. The cord-robot package version is specified in the requirements.txt file. The package is automatically installed into the Python virtualenv set up by the Makefile.

Make sure that make lint check passes, which runs robotframework-lint on any new code that is created. The goal of the linter is to ensure that code is well formatted and structured, and that test suites are of a reasonable size. Lint can fail for a variety of reasons, usually related to formatting.

If you have trouble with the line length check, try the following:

  • If you get a Line Length related problem, you can continue lines between keywords with the ... operator - see the robot documentation for more information.

  • If it's an issue with a long shell invocation that uses a pipeline to filter output, try to see if you could use built-in Robot functionality for string or JSON manipulation, rather than using shell tools like sed, awk, or jq.

  • If you absolutely must use a long shell command, it can be stored in a string that is split over multiple lines with the Catenate Keyword before it's run.