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
Dependency graph
Built-in applications:
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)