sparse-cli 0.0.1

 [](LICENSE.md) [](https://circleci.com/gh/sparse-data/sparse-cli/tree/main)

# Sparse CLI

The Sparse CLI is the command line utility for the [Sparse](https://sparsedata.net) geo-distributed database hosting service. It’s developed in Python and the code is published under the [MIT License](https://github.com/sparse-data/sparse-cli/blob/master/LICENSE) at [github.com/sparse-data/sparse-cli](https://github.com/sparse-data/sparse-cli).

## Develop

You can install the CLI for local development by installing the dependencies into a Python3 environment and developing the egg:

`sh pip install -r requirements.txt python setup.py develop `

This will install a sparse binary in your local Python environment’s bin folder. You can check that this is on your path with e.g.:

`sh which sparse `

## Build

If you want to build standalone binaries, you first need to install the extra development requirements:

`sh pip install -r dev-requirements.txt `

Then you can build a [Pex](https://pex.readthedocs.io) executable using:

`sh python setup.py bdist_pex --bdist-all `

This will create a ./dist/sparse binary which you can copy and run anywhere on your system.

Alternatively, you can build a standalone binary with an embedded Python interpretor using [PyOxidizer](https://pyoxidizer.readthedocs.io):

`sh pyoxidizer run `

This will create a binary at ./build/:target/debug/install/sparse that you can run on any machine with the same architecture and OS as your build machine.

## Usage

Run the sparse command without arguments or with the –help flag for usage information:

`sh sparse --help `

You can drill down into usage information for the resources / command groups and for individual commands, e.g.:

`sh sparse auth --help sparse auth login --help `

Further [documentation is available on the Sparse website](https://sparsedata.net/docs).

## Test

Running the tests requires nose and coverage, included in the dev-requirements.txt.

Then, run e.g.:

`sh nosetests --with-coverage --cover-package sparse `