ICore

Code-editor for interacting with models uses the same APIs available from a plugin (the provided context is the main function of a plugin). Note that this visualizer uses eval to evaluate the code and is recommended to only be used at dev-deployments or at least not at deployments where security is a major concern.

View instruction video here!

The editor provides code completion for the major webgme APIs and dynamically generates the current META. To bring up the suggestions hit Ctrl + Space. For better user-experience do not rename the variables providing the APIs.

• See ICoreDefaultConfig for options.

Importing into other repository

webgme import viz ICore webgme-icore

Once imported and server is restarted, register the visualizer at the nodes where it should be used. If the 'scriptCode' attribute (configurable) isn't defined the model will have meta-violations after saving the code.

Python specifics

In general we do not recommend to use the python mode unless the users on the deployment are trustworthy and/or the deployment doesn't deal with sensitive data.

In order to enable python execution you need to import the PyCoreExecutor plugin.

webgme import plugin PyCoreExecutor webgme-icore

and config.plugin.allowServerExecution = true; must be added in the config.

Since the python mode will run user defined code on the back-end we strongly recommend using webgme-docker-worker-manager. together with a version of ./DockerfilePyCoreExecutor. (For an example of the configuration parameters needed for this to work check out ./config/config.docker.js and ./docker-compose.yml.)

Finally import the router that serves the python source code documentation:

webgme import router BindingsDocs webgme-bindings

Developers

Docker compose

If running on unix-like system this repo can be launched using docker-compose. See ./docker-compose.yml for useful commands and details.

docker-compose up -d

Notes:

• The database-files will be persisted inside the container and the blob-files inside the webgme-server container.
• The webgme-server launches "docker-workers" on the host machine.

Running at host

Make sure the dependencies for webgme are installed.

1. Clone this repository
2. npm install - installs all dependencies
3. npm install webgme - installs webgme (it's a peer-dependency).
4. Launch a local mongodb instance (if not local edit the webgme config).
5. npm start
6. Visit localhost:8888 from a browser.

Publish new release at npm

npm version 1.0.0 -m "Release %s"
git push origin master
git checkout v1.0.0
git push origin v1.0.0
npm publish ./