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Install

Prerequisites​

RemotiveTopology will run the topology with the help of docker containers that interact with each other. Thus, you need Docker. We also support Podman as an alternative, simply replace docker with podman in all instructions.

To develop behavioral models for RemotiveTopology, you need Python 3.9 or later.

Installation​

The easiest way to install and run is to use Docker. You also find binaries of RemotiveTopology CLI.

Install or upgrade to latest version:

docker pull remotivelabs/remotive-topology:latest

Then follow these instructions depending on platform:

MacOS​

Add the following alias in for example ~/.zshrc:

alias remotive-topology="docker run -v $(pwd):$(pwd) -w $(pwd) -it remotivelabs/remotive-topology:latest"

Restart your terminal.

Linux​

Add the following alias in for example ~/.bashrc:

alias remotive-topology='docker run -u $(id -u):$(id -g) -v $(pwd):$(pwd) -w $(pwd) -it remotivelabs/remotive-topology:latest'

Restart your terminal.

Windows​

In powershell open your profile:

notepad $PROFILE

Add the following line at the bottom:

function remotive-topology { docker run -v ${PWD}:/data -it remotivelabs/remotive-topology:latest @Args }

Restart powershell.

Editor setup​

RemotiveTopology uses yaml files to describe instances and platforms. We strongly recommend that you configure our json schema in your editor to make it easier to edit these files.

Visual Studio Code​

Install Red Hat YAML plugin

Add the following to your settings.json:

    "yaml.schemas": {
        "https://files.remotivelabs.com/remotive_topology/topology-0.1.schema.json": 
        ["*.instance.yaml", "*.platform.yaml"]
    },

Usage​

Run the following to get further instructions:

remotive-topology --help

See Getting started for next steps.

Important​

It is important that you run all remotive-topology commands at the root of your project folder. This allows all files to be accessed correctly inside the docker container.

On Windows: Since remotive-topology is running in a docker container using Linux you might encounter some unexpected warnings or errors. Your files are mounted inside the container using current working directory to the /data folder. This means that you might see error messages referring to files /data/something/somefile.instance.yaml. Remember that this means that your actual file is located ./something/somefile.instance.yaml!