rekcurd-dashboard 0.4.4

A WebUI for managing machine learning services of Rekcurd.

# Rekcurd-dashboard

[](https://travis-ci.com/rekcurd/drucker-dashboard) [](https://badge.fury.io/py/rekcurd-dashboard) [](https://codecov.io/gh/rekcurd/drucker-dashboard “Non-generated packages only”) [](https://pypi.python.org/pypi/rekcurd-dashboard)

Rekcurd dashboard is the project for managing ML model and deploying ML module. Any Rekcurd service is manageable. It can deploy the Rekcurd service to Kubernetes cluster.

## Parent Project https://github.com/rekcurd/drucker-parent

## Components - [Rekcurd](https://github.com/rekcurd/drucker): Project for serving ML module. - [Rekcurd-dashboard](https://github.com/rekcurd/drucker-dashboard) (here): Project for managing ML model and deploying ML module. - [Rekcurd-client](https://github.com/rekcurd/drucker-client): Project for integrating ML module.

## Environment - Python 3.6 - flask 1.0.x - [Node.js](https://nodejs.org/) 8.x - [yarn](https://yarnpkg.com/)

## Installation From source:

`bash $ git clone --recursive https://github.com/rekcurd/drucker-dashboard.git $ cd drucker-dashboard/frontend $ yarn install && yarn run build && cd .. $ pip install -e . `

From PyPi directly:

`bash $ pip install rekcurd-dashboard `

## How to boot ### Preparation You need to create [settings.yml](./drucker_dashboard/settings.yml).

### General users Launched on http://0.0.0.0:18080 as a default.

#### command line `bash $ rekcurdui --settings settings.yml db init $ rekcurdui --settings settings.yml db migrate $ rekcurdui --settings settings.yml server `

#### docker-compose (Deprecated) `bash # For dev $ docker-compose -f docker-compose/docker-compose.develop.yaml up # For prod $ docker-compose -f docker-compose/docker-compose.production.yaml up `

### For AWS users If you run this on AWS (such as EKS), you need to configure aws-cli setting. Follow the [official document](https://docs.aws.amazon.com/streams/latest/dev/kinesis-tutorial-cli-installation.html).

Rekcurd-dashboard docker container will mount the configuration files, so the IAM account used by configuration needs to have enough permissions to access to Kubernetes resources on AWS.

`bash # For dev $ docker-compose -f docker-compose/aws/docker-compose.develop.yaml up # For prod $ docker-compose -f docker-compose/aws/docker-compose.production.yaml up `

## How to use See [docs](./docs/README.md).

## Unittest ### Prerequisites `bash $ pip install -r requirements.txt $ pip install -r test-requirements.txt `

If you don’t have VirtualBox, run it. `bash $ sudo yum install -y kernel-devel kernel-headers make patch gcc $ sudo wget https://download.virtualbox.org/virtualbox/rpm/el/virtualbox.repo -P /etc/yum.repos.d $ sudo yum install -y VirtualBox-5.2 `

### Test `bash $ sudo sh drucker_dashboard/e2e_test/startup.sh $ python -m unittest $ sudo sh drucker_dashboard/e2e_test/cleanup.sh `

## Kubernetes support Rekcurd can be run on Kubernetes. See [here](https://github.com/rekcurd/drucker-parent).