OpenRemote CLI

Intro

This is Command Line Interface to OpenRemote IoT platform. It's purpose is to reduce friction of using OpenRemote by Do It Yourself users.

It is published as a Python package on PyPi.org

About OR

OpenRemote is a great real OpenSource IoT platform.

Usage

To install/upgrade the CLI:

pip install --upgrade openremote-cli
or --version

Docker image

There is also docker image with embedded openremote-cli and other tools used during stack management, like python, aws or docker-compose. Therefore, docker is the only tool installed when you need to work on remote host. Example:

% docker run -ti --rm openremote/openremote-cli -V
openremote-cli/0.6.46 3.8.10 (default, May 12 2021, 15:56:47) [GCC 8.3.0] Linux/#1 SMP Tue Mar 23 09:27:39 UTC 202
% docker run -ti --rm --entrypoint bash -v ~/.aws:/root/.aws openremote/openremote-cli
root@4438b25d0834:/# aws --version
aws-cli/2.1.39 Python/3.8.8 Linux/5.10.25-linuxkit exe/x86_64.debian.10 prompt/off

Deploy local OpenRemote stack

or deploy

When it finishes you should be able to open https://localhost and login with admin:secret to the manager. Depending on your machine it can take few minutes to start or services (usually less than 10 minutes). If it does not work yet, check it with docker ps to see if all services are in healthy or starting stage.

Remove local OpenRemote stack

or deploy --action remove

Deploy OpenRemote stack on AWS with DNS entry

or deploy --platform aws --dnsname myiot.mydomain.com

Check health of the openremote stack

or deploy -a health --dnsname myiot.mydomain.com -v

Install shell completion extension

zsh

TODO

bash

TODO

Configure existing OpenRemote instance

Add users

Add assets

Add customization

Develop openremote-cli

Following tools are used:

• python (pip, poetry, black, PyPI.org)
• git (pre-commit, actions)
• docker (docker-compose, swarm)
• AWS (CloudFormation)
• make

poetry run openremote-cli -V

Adding feature

In this project we use Behavior-driven development (or BDD). BDD is an agile software development technique that encourages collaboration between developers, QA and non-technical or business participants in a software project.

This project uses Gherkin to define what features which should be covered. Features files can be generated by people on manager level or even higher. An example of file defining a feature:

Feature: deploy

  Scenario: deploy to localhost
    Given we have docker and docker-compose installed
    When we call openremote-cli --dry-run deploy --action create
    Then show what will be done

When the feature is implemented it can be checked with behave:

> behave
Feature: deploy # features/deploy.feature:1

  Scenario: deploy to localhost                                  # features/deploy.feature:3
    Given we have docker and docker-compose installed            # features/steps/deploy_steps.py:8 0.453s
    When we call openremote-cli --dry-run deploy --action create # features/steps/deploy_steps.py:16 0.591s
    Then show what will be done                                  # features/steps/deploy_steps.py:24 0.000s

1 feature passed, 0 failed, 0 skipped
1 scenario passed, 0 failed, 0 skipped
3 steps passed, 0 failed, 0 skipped, 0 undefined
Took 0m1.044s