# Deploy an Amazon Neptune cluster with Amazon SageMaker Notebook using CDK

Amazon Neptune now offers a workbench, an in-console experience to query your graph. The workbench lets you quickly and easily query your Neptune databases with Jupyter notebooks – a fully managed, interactive development environment with live code and narrative text. You can also invoke the bulk loader, run query plans and profile queries using the notebook. The notebooks also contain samples to help you get started with Neptune quickly. 

This CDK project automates the process of creating the Neptune cluster with a SageMaker Notebook configured to connect to the Neptune cluster.

The `cdk.json` file tells the CDK Toolkit how to execute your app.

This project is set up like a standard Python project.  The initialization
process also creates a virtualenv within this project, stored under the `.venv`
directory.  To create the virtualenv it assumes that there is a `python3`
(or `python` for Windows) executable in your path with access to the `venv`
package. If for any reason the automatic creation of the virtualenv fails,
you can create the virtualenv manually.

To manually create a virtualenv on MacOS and Linux:

```
$ python -m venv .venv
```

After the init process completes and the virtualenv is created, you can use the following
step to activate your virtualenv.

```
$ source .venv/bin/activate
```

If you are a Windows platform, you would activate the virtualenv like this:

```
% .venv\Scripts\activate.bat
```

Once the virtualenv is activated, you can install the required dependencies.

```
$ pip install -r requirements.txt
```

At this point you can now synthesize the CloudFormation template for this code.

```
$ cdk synth
```

Deploy the entire stack to your AWS account.

```
$ cdk deploy
```

To add additional dependencies, for example other CDK libraries, just add
them to your `requirements.txt` file and rerun the `pip install -r requirements.txt`
command.

## Useful commands

 * `cdk ls`          list all stacks in the app
 * `cdk synth`       emits the synthesized CloudFormation template
 * `cdk deploy`      deploy this stack to your default AWS account/region
 * `cdk diff`        compare deployed stack with current state
 * `cdk docs`        open CDK documentation

Enjoy!