update README to include all magic commands added by graph-notebok

README.md

@@ -27,19 +27,41 @@ We encourage others to contribute configurations they find useful. There is an [
 
 `%%gremlin` - Executes a Gremlin query against your database using web sockets. The results are similar to what the Gremlin console would return.
 
+`%%graph_notebook_config` - Sets the executing notebook's database configuration to the JSON payload provided in the cell body.
+
+`%%graph_notebook_vis_options` - Sets the executing notebook's [vis.js options](https://visjs.github.io/vis-network/docs/network/physics.html) to the JSON payload provided in the cell body.
+
+`%%neptune_ml` - Set of commands to integrate with NeptuneML functionality. [Documentation](https://aws.amazon.com/neptune/machine-learning/)
+
+
 **TIP** :point_right:  There is syntax highlighting for both `%%sparql` and `%%gremlin` queries to help you structure your queries more easily.
 
 #### Notebook line 'magic' extensions in the IPython 3 kernel
-`%graph_notebook_config` - Returns a JSON object that contains connection information for your host.
+`%gremlin_status` - Obtain the status of Gremlin queries. [Documentation](https://docs.aws.amazon.com/neptune/latest/userguide/gremlin-api-status.html)
+
+`%sparql_status` - Obtain the status of SPARQL queries. [Documentation](https://docs.aws.amazon.com/neptune/latest/userguide/sparql-api-status.html)
+
+`%load` - Generate a form to submit a bulk loader job. [Documentation](https://docs.aws.amazon.com/neptune/latest/userguide/bulk-load.html)
 
-`%query_mode` - Lets you set the query mode for your queries to one of:
+`%load_ids` - Get ids of bulk load jobs. [Documentation](https://docs.aws.amazon.com/neptune/latest/userguide/load-api-reference-status-examples.html)
 
-* `query` (the default) : executes the query against the normal SPARQL or Gremlin endpoint
-* `explain` : Returns an explanation of the query plan instead of the query's results (valid for both SPARQL and Gremlin).
-* `profile` : Returns a profile of the query's operation, but does not actually execute the query (valid only for Gremlin).
+`%load_status` - Get the status of a provided `load_id`. [Documentation](https://docs.aws.amazon.com/neptune/latest/userguide/load-api-reference-status-examples.html)
+
+`%neptune_ml` - Set of commands to integrate with NeptuneML functionality. You can find a set of tutorial notebooks [here](https://github.com/aws/graph-notebook/tree/main/src/graph_notebook/notebooks/04-Machine-Learning). 
+[Documentation](https://aws.amazon.com/neptune/machine-learning/)
+
+`%status` - Check the Health Status of the configured host endpoint. [Documentation](https://docs.aws.amazon.com/neptune/latest/userguide/access-graph-status.html)
 
 `%seed` - Provides a form to add data to your graph without the use of a bulk loader. both SPARQL and Gremlin have an airport routes dataset.
 
+`%graph_notebook_config` - Returns a JSON payload that contains connection information for your host.
+
+`%graph_notebook_host` - Set the host endpoint to send queries to.
+
+`%graph_notebook_version` - Print the version of the `graph-notebook` package
+
+`%graph_notebook_vis_options` - Print the Vis.js options being used for rendered graphs
+
 **TIP** :point_right: You can list all the magics installed in the Python 3 kernel using the `%lsmagic` command.
 
 

src/graph_notebook/__init__.py

@@ -3,4 +3,4 @@
 SPDX-License-Identifier: Apache-2.0
 """
 
-__version__ = '2.0.5'
+__version__ = '2.0.6'

src/graph_notebook/widgets/package.json

@@ -1,6 +1,6 @@
 {
   "name": "graph_notebook_widgets",
-  "version": "2.0.5",
+  "version": "2.0.6",
   "author": "amazon",
   "description": "A Custom Jupyter Library for rendering NetworkX MultiDiGraphs using vis-network",
   "dependencies": {