Deploying the JSON-to-XML transformation sample project

Following this guide, you can deploy and test the sample project JSON-to-XML transformation in IPS.

Prerequisites

If you haven’t already done so,

  • define a container image with user adroitlogic, name ips-worker and tag 17.07 (you can utilize the Select Existing button on the container image creation page to use the already defined image from the image repository).

  • create a cluster using the abovementioned container image.

Deployment

  1. Navigate to the project creation page.

  2. Click the Select a Sample button and select the JSON-to-XML Transformation sample.

  3. Click Next and wait for IPS to download the sample XPR from the repository, after which you will be automatically navigated to the Configure page.

    json xml

  4. Click Next again on the Configure page as we do not want to change any of the default project properties.

  5. In the Assign page, select the cluster you have created previously, and click Deploy Now.

  6. You will be directed to the Deployments perspective of the selected cluster, with the new project added automatically to the Pending Updates list.

    If you had already deployed a project in the selected cluster, which exposes the same port as the JSON-to-XML Transformation sample (i.e. 8280), the project will not be added to the pending updates list and an error message indicating the port conflict will be displayed (as two projects in the same deployment cannot bind to the same port). In that case, you can manually Delete the conflicting project from the Deployed Projects list and use the Add Project button on the upper right hand corner to select the JsonToXmlTransformation project for deployment.

  7. Map an external port (e.g. 30040) to the exposed port 8280 of the sample project, using the Configure button.

  8. Click Deploy and wait for the progress bar to indicate successful completion of the deployment.

Testing

  1. Find the IP address on the host-only interface of your IPS virtual machine using the ips_installer ip command (which would usually be 192.168.99.100).

  2. As explained in the sample documentation, send a POST request containing a suitable JSON payload to http://192.168.99.100:30040/service/order-service using an HTTP client (such as the HTTP/S Client in Ultra Studio Toolbox), where 192.168.99.100 is the IP address found earlier and 30040 is the external port mapped during project deployment.

  3. A 200 OK response with no content would be received from the service, indicating that the request has been accepted and processed successfully.

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