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Nebulis Coding Analytics Platform

TravisCI Status Coverage Status Known Vulnerabilities npm version

Nebulis provides realtime analytics and reporting for coding projects. With Nebulis you can embed an endpoint into your coding units so that you can gather code changes to a project fork. Nebulis is set up to be close to zero configuration, so as soon as the endpoint is launched on a fork, that user will be instantly registered into the system and attached to the associated project. Requires Nebulis-Endpoint.

Installation


Install nenv and build nodejs:

nenv install 6.9.1
nenv local v6.9.1

Clone project:

git clone https://github.com/NebulisAnalytics/nebulis-server.git
cd nebulis-server

Install prerequisites:

npm install

Build and run development server:

npm run dev

Build and run production server:

npm run prod

Environmental Variables

GIT_HOST=<your ip>:7000
NODE_ENV=production

Client-side tests

Run client-side tests:

npm run client:test

Run client-side tests continuously:

npm run client:test:watch

Server-side tests

Run server-side tests:

npm run server:test:watch

Run server-side tests continuously:

npm run server:test:watch

Integration test

Endpoint Integration test

Performs complete end to end test of the client connecting to this server.

npm run test:endpoint

Run integration test:

npm run ghoulies

Run integration test continuously:

npm run ghoulies:watch

Docker Container


Install docker and virtualbox (these commands are for MacOS):

brew cask install virtualbox
brew install docker
curl -L https://github.com/docker/machine/releases/download/v0.9.0/docker-machine-`uname -s`-`uname -m` >/usr/local/bin/docker-machine && chmod +x /usr/local/bin/docker-machine
curl -L "https://github.com/docker/compose/releases/download/1.10.0/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose && chmod +x /usr/local/bin/docker-compose
docker-machine create --driver=virtualbox default
eval $(docker-machine env default)

Find the virtual machine ip address:

docker-machine ls

Run the docker container:

docker-compose up

Open browser to the virtual machine ip address:

http://192.168.99.100:1337

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Realtime analytics and reporting for coding projects

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