HES, Data driven applications

Note: (To try the application without installing EYE reasoner, you can use the Docker version below)

• TODO: Introduction
• In the meantime: examples

Default entry points

API

• http://localhost:3000/dataspaces

Dependency graph

• http://localhost:3000/dataspaces/depencencies

Built-in applications:

• http://localhost:3000/apps/flare

Running it as command line

First of all, you need to install the EYE reasoner (Windows – OS X – Linux).

Or install it from the source

(make sure that you can run this using '/bin/sh eye', or set the EYE_PATH environment variable)

Then, install the server package as follows:

$ [sudo] npm -g install h-eye

Running

hes serve <directory>

More options with

hes --help

Examples

The workspace folder contains examples on what kind of things can be declared.

To see the results do:

hes serve ./workspace

and point your browser to:

http://localhost:3000

Then 'follow the links'

Operations and dependency graph:

http://localhost:3000/dataspaces/operations

Run with docker

Start H-Eye on host port 3000:

docker run --name=h-eye -p 3000:3000 -v $PWD/workspace:/usr/src/app/workspace cristianvasquez/h-eye -t

Running your image with -d runs the container in detached mode, leaving the container running in the background. The -p flag redirects a public port to a private port inside the container. The -v flag mounts a directory to a directory inside the container.

If you need to go inside the container you can use the exec command:

Enter the container

docker exec -it h-eye /bin/bash

Stop the docker container

docker rm -f h-eye

Test if it's up

curl -i localhost:3000

Build your own image

docker build -t YOUR_USERNAME/h-eye .

(to build a clean image from scratch use the --no-cache option)