opp-env 0.28.1.240417

A tool, that sets up the development environment for OMNeT++ projects

opp_env: Automated Installation of OMNeT++ Simulation Frameworks

opp_env is a powerful tool that allows for the easy and automated installation of OMNeT++ simulation frameworks and models, including dependencies like INET Framework and OMNeT++ itself. It can install any version of OMNeT++ and INET, as well as currently selected versions of Veins, SimuLTE, Simu5G and other models. We are working towards expanding its database with more models, and we are open to suggestions and contributions.

opp_env supports Linux and macOS systems. On Windows 10 & 11, opp_env can be run on the Windows Subsystem for Linux (WSL2).

[!NOTE] opp_env relies on Nix, a powerful package manager that provides isolation between different versions of dependencies and allows for reproducible builds. By leveraging the power of Nix, opp_env ensures that each installation is consistent and can be easily replicated on different machines.

Features

opp_env provides a number of powerful features that make it a valuable tool for any researcher or developer working with OMNeT++ simulation frameworks:

• Automated installation of OMNeT++ simulation frameworks and models, including dependencies like INET Framework and OMNeT++ itself.
• Support for any version of OMNeT++ and INET, as well as select versions of Veins, SimuLTE, Simu5G and other 3rd party models.
• Reproducible builds thanks to the powerful isolation provided by Nix.
• Easy to use shell command that sets up an environment for working with the selected simulation framework.
• Customizable configuration options that allow for advanced control over the installation process.

Usage

Using opp_env is simple. To install a specific version of a simulation framework and its dependencies, first create a workspace and initialize it:

mkdir workspace && cd workspace && opp_env init

Then run the following command:

opp_env install <framework-version>

For example, to install Simu5G version 1.2.1, run the following command:

opp_env install simu5g-1.2.1

This will download Simu5G, the matching INET and OMNeT++ packages and compile them.

[!TIP] To install the latest version of a package, use the latest pseudo-version e.g. to install the latest version of OMNeT++ use opp_env install omnetpp-latest

To open a shell prompt where you can use the recently installed Simu5G model, type:

opp_env shell simu5g-1.2.1

[!IMPORTANT] You cannot use the packages you installed via opp_env outside of opp_env shell or opp_env run.

[!TIP] To see the list of available packages, type: opp_env list. Scroll down for the output from a recently released version.

Installation

Installing opp_env on Linux and macOS

opp_env requires Python3, pip and Nix installed on your machine. Everything else will be installed by Nix.

Installing Python3 and pip

Use your operating system's package manager to install Python3 and pip.

Installing Nix

You can download and install Nix from here. All other opp_env dependencies are automatically installed using the Nix package manager.

[!NOTE] For macOS users, it is recommended to add

if [ -e '/nix/var/nix/profiles/default/etc/profile.d/nix-daemon.sh' ]; then
  . '/nix/var/nix/profiles/default/etc/profile.d/nix-daemon.sh'
fi

to your ~/.zshrc or ~/.bashrc file after a successful Nix installation. The Nix installer adds these lines to your global /etc/bashrc and /etc/zshrc files, but macOS system upgrades regularly overwrite these system files rendering the Nix installation unavailable.

Installing opp_env with pip

Once you have the prerequisites, you can install opp_env using pip:

First, make sure that pip is the latest version:

pip install --upgrade pip

You can now install opp_env:

pip3 install opp-env

[!IMPORTANT] On some system, namely recent versions of Ubuntu / Debian, this command stops with an error message: error: externally-managed-environment

To work around the error, follow the instructions in the printed message, which boils down to either adding the --break-system-packages option to the pip install commands, or setting up a Python virtual environment (venv) and working from there.

When you install opp_env using pip, it installs the opp_env Python module, as well as a small script into your system's path (e.g. ~/.local/bin or the virtual environment's bin directory) that allows you to invoke it from the shell. The opp_env command is equivalent to running python -m opp_env, which also runs the opp_env Python module. (Make sure that ~/.local/bin is in your PATH environment variable. Acivating the python virtual environment does this for you automatically.)

Installing opp_env on Windows 10 & 11 (with WSL2)

opp_env requires the Nix package manager which is available only on Linux and macOS, but you can still use opp_env on Windows running it in a WSL2 (Windows Subsystem for Linux) container.

For Windows 10 and 11, we provide a pre-packaged, Ubuntu 22.04 based WSL2 container with all the necessary dependencies (Python3, pip, Nix, etc.) already installed.

To install the opp_env WSL distro image, open a command prompt and run the following command:

curl.exe -L https://github.com/omnetpp/opp_env/releases/download/wsl/opp_env-wsl.tar.gz | wsl --import opp_env .\opp_env-wsl -

The above command will download and install a WSL2 container image for opp_env and place it into the opp_env-wsl folder. The shell can be started with:

wsl -d opp_env --cd ~

Once you are inside the container, you can run the opp_env command as suggested in the previous section.

Installing opp_env with Docker

We provide docker images for opp_env that can be installed with the following command:

docker pull ghcr.io/omnetpp/opp_env

You can try it interactively with:

docker run -it ghcr.io/omnetpp/opp_env

This image is the same as the one used for generating the WSL2 image.

Developing or changing opp_env

If you want to contribute to the development of opp_env or need to modify the source code for any reason, you can install the package in editable mode by cloning the git repo, changing to its root directory and using the following command:

pip install --editable .

This will install the Python module and the opp_env command, but with the added ability to make local modifications that will take effect immediately.

If you get the error: externally-managed-environment message, see the note marked IMPORTANT above.

In case of other errors, try upgrading pip to the latest version first by running python3 -m pip install --upgrade pip.

Building the Python Package

To build the Python package, you first need to install the build package by running the following command:

pip install --upgrade build

Once you have build installed, you can build the package by running:

python3 -m build

If you have any issues or questions, feel free to open an issue on the GitHub repository. We are always happy to help!

Supported Simulation Frameworks

As of version 0.25.0 of opp_env, the following simulation frameworks are supported:

$ opp_env list

omnetpp                  6.0.2  6.0.1  6.0.0  5.7.1  5.7.0  5.6.3  5.6.2  5.6.1  5.6.0  5.5.2  5.5.1  5.5.0  5.4.2  5.4.1  5.4.0  5.3.1  5.3.0  5.2.2  5.2.1  5.2.0  5.1.2  5.1.1  5.1.0  5.0.1  5.0.0  4.6.1 4.6.0  4.5.1  4.5.0  4.4.2  4.4.1  4.4.0  4.3.2  4.3.1  4.3.0  4.2.3  4.2.2  4.2.1  4.2.0  4.1.1  4.1.0  4.0.2  4.0.1  3.3.2  3.3.1  6.0.x  5.7.x  5.6.x  5.5.x  5.4.x  5.3.x  5.2.x  5.1.x  5.0.x  4.6.x  4.5.x  4.4.x  4.3.x  4.2.x  4.1.x  4.0.x  3.3.x  master
inet                     4.5.2  4.5.1  4.5.0  4.4.1  4.4.0  4.3.9  4.3.8  4.3.7  4.2.10  4.2.9  4.2.8  4.2.7  4.2.6  4.2.5  4.2.4  4.2.3  4.2.2  4.2.1  4.2.0  4.1.2  4.1.1  4.1.0  4.0.0  3.8.3  3.8.2  3.8.13.8.0  3.7.1  3.7.0  3.6.8  3.6.7  3.6.6  3.6.5  3.6.4  3.6.3  3.6.2  3.6.1  3.6.0  3.5.x  3.5.0  3.4.0  3.3.0  3.2.4  3.2.3  3.2.2  3.2.1  3.2.0  3.1.x  3.1.1  3.1.0  3.0.x  3.0.0  2.6.x  2.6.0  2.5.x  2.5.0  2.4.x  2.4.0  2.3.x  2.3.0  2.2.x  2.2.0  2.1.x  2.1.0  2.0.x  2.0.0  20100323  20061020  master
afdx                     20220904
ansa                     inet3.4.0
can_allinone             0.1.0
castalia                 3.3  3.2
cell                     20140729
chaosmanager             20221210
core4inet                221109
dctrafficgen             20181016
fico4omnet               20210113
flora                    1.1.0
gptp                     20200311
gradys                   0.5
hnocs                    20221212
icancloud                1.0
ieee802154standalone     20180310
inet_hnrl                20170217
inetgpl                  1.0
inetmanet                4.0.0  3.8.2
lora_icn                 paper
lre_omnet                1.0.1
mixim                    2.3
nesting                  0.9.1
omnet_tdma               1.0.2
opencv2x_veins           1.4.1
oppbsd                   4.0
ops_allinone             20230331
opslite                  20190624
os3                      1.0
oversim                  20190424
quisp                    20230807
rease                    20130819
rinasim                  20200903
rspsim                   6.1.2
seapp                    20191230
sedencontroller_allinone 20230305
simcan                   1.2
simproctc                2.0.2
simu5g                   1.2.2  1.2.1  1.1.0
simulte                  1.2.0  1.1.0  0.9.1
solarleach               1.01
stochasticbattery        20170224
swim_allinone            20180221
tsch_allinone            6tisch_paper
veins                    5.2  5.1  5.0  4.7.1  4.7  4.6  4.4  4.3  3.0  master
wifidirect_allinone      3.4