rapyuta-io-cli 7.4.1

Rapyuta.io CLI Python command line application.

Rapyuta CLI

Rapyuta CLI exposes features of Rapyuta.io platform on the command-line.

The application is written in Python 3 and it is distributed through PyPI for Python 3 environments.

For Reference on directory structure please refer Please have a look at the corresponding article: http://gehrcke.de/2014/02/distributing-a-python-command-line-application/

Install

Rio CLI is available on PyPI index and can be installed directly by running the following command.

pip install rapyuta-io-cli

On Unix-like systems it places the rio executable in the user's PATH. On Windows it places the rio.exe in the centralized Scripts directory which should be in the user's PATH.

To install the CLI from source, you can use the setup.py script directly. Clone the repository and from the root of the directory, run the following command.

python setup.py install

Getting Started

To begin using the CLI, it must be authenticated with the Platform.

rio auth login

The Email and Password can either be given through flags (for scripting purposes) or interactively through the Prompts.

NOTE: Entering password as a Flag is not recommended because it leaves the Traces.

Development

Rio CLI project uses Pipenv for development. It needs to be installed to setup the development environment.

pip install pipenv

Once Pipenv is installed, a Python virtual environment can be quickly bootstrapped by running the following commands in the root of the repository.

pipenv install --dev

This will create a virtual environment in the Pipenv's preconfigured location (if one doesn't already exists). It will also install all the dependencies and riocli package in the location.

To run the CLI (or any command) under the context of Pipenv's virtual environment, prepend the commands with pipenv run

pipenv run rio

To run the RIO CLI from the source directly, you can use riocli module directly.

pipenv run python -m riocli

New dependencies can be installed directly using pipenv. This modifies the Pipfile and Pipfile.lock.

pipenv install {dependency}

But using the pipenv directly doesn't sync the dependencies in the setup.py file. For this, the project uses a utility called pipenv-setup which allows us to sync the dependencies.

pipenv run pipenv-setup sync