lib-srt-utils

A Python library containing supporting code for running SRT tests based on the experiment config. SRT stands for Secure Reliable Transport and is an open source transport technology that optimizes streaming performance across unpredictable networks, such as the Internet. This is the next generation and improved version of srt-test-runner script written in a form of library.

An example of a single experiment, consisting of a defined set of steps, is the following:

• Start tshark on the SRT sender side,

• Start tshark on the SRT receiver side,

• Start the SRT receiver,

• Start the SRT sender,

• Wait for the specified time to have SRT sender and receiver connected and SRT streaming finished,

• Collect the experiment artefacts (SRT .csv statistics, tshark .pcapng dumps) to the machine where the script is running.

Running the tasks is implemented both locally and remotely so that the following combinations are possible: local-local, local-remote and remote-remote setup. All the implemented configs as well as the detailed documentation can be found in configs folder. Here is an example of the remote-remote config where tshark and srt-xtransmit applications are started consequtively on 2 remote machines (virtual machines in the cloud or regular machines), the SRT transmission is happening and once finished the experiment artefacts are collected to the machine where the script is running.

The SingleExperimentRunner class, see srt_utils/runners.py, implements the logic of running a single experiment based on the experiment config. An example of the SingleExperimentRunner class usage can be found in scripts/experiment_runner.py script designed to run a single experiment.

An implementation of the TestRunner class responsible for running a single test (a set of experiments executed in a consecutive order with the different input parameters) is planned for future. The same experiment example as above, however, the same steps are performed several times, e.g., to test SRT live streaming mode with different values of bitrate. In this case, bitrate value is that particular input parameter that is changed from experiment to experiment during the test.

Important to note, that currently only tshark and srt-xtransmit test application are supported. srt-live-transmit and other applications can be added by request.

Getting Started

Requirements

• python 3.6+
• tshark, setting up tshark is described in SRT Cookbook and srt-test-runner documentation
• ssh-agent, setting up SSH keys and ssh-agent is described in SRT Cookbook
• srt-xtransmit test application

Install the library with pip

For development, it is recommended

• To use venv for virtual environments and pip for installing the library and any dependencies. This ensures the code and dependencies are isolated from the system Python installation,
• To install the library in “editable” mode by running from the same directory pip install -e .. This lets changing the source code (both tests and library) and rerunning tests against library code at will. For regular installation, use pip install ..

As soon as the library is installed, you can run modules directly

venv/bin/python -m srt_utils.module --help

or use preinstalled executable scripts

venv/bin/script --help

Install the library to import in another project

Install with pip (a venv is recommended), using pip's VCS requirement specifier

pip install 'git+https://github.com/mbakholdina/[email protected]#egg=srt_utils'

or simply put the following row in requirements.txt

git+https://github.com/mbakholdina/[email protected]#egg=srt_utils

Remember to quote the full URL to avoid shell expansion in case of direct installation.

This installs the version corresponding to the git tag 'v0.1'. You can replace that with a branch name, a commit hash, or a git ref as necessary. See the pip documentation for details.

As soon as the library is installed, you can import the whole library

import srt_utils

or a particular module

import srt_utils.module as module

Running the library

Running unit tests:

venv/bin/pytest --pyargs srt_utils
venv/bin/python -m pytest --pyargs srt_utils

Running modules, e.g. module.py:

venv/bin/python -m srt_utils.module

Starting SSH-agent:

eval "$(ssh-agent -s)"
ssh-add -K ~/.ssh/id_rsa

Setting Up the Environment

As mentioned above, running the tasks is implemented both locally and remotely so that the following combinations are possible:

• local-local: the script is running on the local machine, thark (single instance), SRT receiver and SRT sender are running on the same local machine,
• local-remote: the script is running on the local machine, thark and SRT receiver are running on the remote machine, another tshark and SRT sender are running on the local machine where the script is running,
• and remote-remote setup: the script is running on a separate local machine, thark and SRT receiver are running on the first remote machine, another tshark and SRT sender are running on the second remote machine.

Supported OSs

• MacOS / Ubuntu / CentOS (local-local)

• MacOS → MacOS / Ubuntu / CentOS (local-remote)

• MacOS → Ubuntu + Ubuntu / CentOS + CentOS (remote-remote)

• CentOS / Ubuntu → MacOS / Ubuntu / CentOS (local-remote) - to be tested

• MacOS → MacOS + MacOS (remote-remote) - to be tested

• CentOS / Ubuntu → MacOS + MacOS / Ubuntu + Ubuntu / CentOS + CentOS (remote-remote) - to be tested

• Any combinations with Windows - to be tested, there is no support for Windows implemented.

Steps to Do before Running the Script

1. Generate SSH key on the machine where the script will be launched and copy it to the remote machines for the script to connect to them and run the tasks via SSH. See the instructions in SRT Cookbook.

2. Install and set up tshark on both machines. The guidelines can be found here.

3. Build srt-xtransmit or any other test application required for running a particular experiment config on both machines.

4. On the local machine where the script is going to be executed, create the directory for the lib-srt-utils project and clone the source code in it:

   mkdir -p projects/srt/lib-srt-utils
   cd projects/srt
   git clone https://github.com/mbakholdina/lib-srt-utils.git lib-srt-utils
   

5. On the local machine, install lib-srt-utils library as per "Install the library with pip" section:

   cd lib-srt-utils
   python3 -m venv venv
   venv/bin/pip install -e .
   

6. Update the experiment config as required. A set of predifend configs and appropriate documentaion can be found in configs folder.

7. On the local machine, start ssh-agent in the background and add your SSH private key generated at Step 1 to the ssh-agent. Without doing this, the script will raise an exception paramiko.ssh_exception.SSHException.

8. Now you are ready to run the script.

Scripts

All the implemented scripts can be found in scripts folder.

run_experiment.py

Script designed to run a single experiment based on the experiment config. Configs can be found in ./configs folder.

Example of execution:

venv/bin/python -m scripts.experiment_runner --resultsdir _experiment_results configs/lore_xtransmit_live.json

rename_folders.py

Script-helper designed to move experiment results from subfolders to a root folder corresponding to a particular experiment. Run

venv/bin/python -m scripts.rename_folders --help

to get full decsription, example of execution, and the list of options.