Create PingOne-Connected Nintex Workflows
Nintex Workflow Cloud is a cloud-based platform where you can design workflows to automate simple or complex processes using drag-and-drop interactions — without writing any code. When paired with CData Connect AI, you get instant, cloud-to-cloud access to PingOne data for business applications. This article shows how to create a virtual database for PingOne in Connect AI and build a simple workflow from PingOne data in Nintex.
CData Connect AI provides a pure, cloud-to-cloud interface for PingOne, allowing you to build workflows from live PingOne data in Nintex Workflow Cloud — without replicating the data to a natively supported database. Nintex allows you to access data directly using SQL queries. Using optimized data processing out of the box, CData Connect AI pushes all supported SQL operations (filters, JOINs, etc.) directly to PingOne, leveraging server-side processing to quickly return the requested PingOne data.
Configure PingOne Connectivity for Nintex
Connectivity to PingOne from Nintex is made possible through CData Connect AI. To work with PingOne data from Nintex, we start by creating and configuring a PingOne connection.
- Log into Connect AI, click Sources, and then click Add Connection
- Select "PingOne" from the Add Connection panel
-
Enter the necessary authentication properties to connect to PingOne.
To connect to PingOne, configure these properties:
- Region: The region where the data for your PingOne organization is being hosted.
- AuthScheme: The type of authentication to use when connecting to PingOne.
- Either WorkerAppEnvironmentId (required when using the default PingOne domain) or AuthorizationServerURL, configured as described below.
Configuring WorkerAppEnvironmentId
WorkerAppEnvironmentId is the ID of the PingOne environment in which your Worker application resides. This parameter is used only when the environment is using the default PingOne domain (auth.pingone). It is configured after you have created the custom OAuth application you will use to authenticate to PingOne, as described in Creating a Custom OAuth Application in the Help documentation.
First, find the value for this property:
- From the home page of your PingOne organization, move to the navigation sidebar and click Environments.
- Find the environment in which you have created your custom OAuth/Worker application (usually Administrators), and click Manage Environment. The environment's home page displays.
- In the environment's home page navigation sidebar, click Applications.
- Find your OAuth or Worker application details in the list.
-
Copy the value in the Environment ID field.
It should look similar to:
WorkerAppEnvironmentId='11e96fc7-aa4d-4a60-8196-9acf91424eca'
Now set WorkerAppEnvironmentId to the value of the Environment ID field.
Configuring AuthorizationServerURL
AuthorizationServerURL is the base URL of the PingOne authorization server for the environment where your application is located. This property is only used when you have set up a custom domain for the environment, as described in the PingOne platform API documentation. See Custom Domains.
Authenticating to PingOne with OAuth
PingOne supports both OAuth and OAuthClient authentication. In addition to performing the configuration steps described above, there are two more steps to complete to support OAuth or OAuthCliet authentication:
- Create and configure a custom OAuth application, as described in Creating a Custom OAuth Application in the Help documentation.
- To ensure that the driver can access the entities in Data Model, confirm that you have configured the correct roles for the admin user/worker application you will be using, as described in Administrator Roles in the Help documentation.
- Set the appropriate properties for the authscheme and authflow of your choice, as described in the following subsections.
OAuth (Authorization Code grant)
Set AuthScheme to OAuth.
Desktop Applications
Get and Refresh the OAuth Access Token
After setting the following, you are ready to connect:
- InitiateOAuth: GETANDREFRESH. To avoid the need to repeat the OAuth exchange and manually setting the OAuthAccessToken each time you connect, use InitiateOAuth.
- OAuthClientId: The Client ID you obtained when you created your custom OAuth application.
- OAuthClientSecret: The Client Secret you obtained when you created your custom OAuth application.
- CallbackURL: The redirect URI you defined when you registered your custom OAuth application. For example: https://localhost:3333
When you connect, the driver opens PingOne's OAuth endpoint in your default browser. Log in and grant permissions to the application. The driver then completes the OAuth process:
- The driver obtains an access token from PingOne and uses it to request data.
- The OAuth values are saved in the location specified in OAuthSettingsLocation, to be persisted across connections.
The driver refreshes the access token automatically when it expires.
For other OAuth methods, including Web Applications, Headless Machines, or Client Credentials Grant, refer to the Help documentation.
- Click Save & Test
-
Navigate to the Permissions tab in the Add PingOne Connection page and update the User-based permissions.
Add a Personal Access Token
When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.
- Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
- On the Settings page, go to the Access Tokens section and click Create PAT.
-
Give the PAT a name and click Create.
- The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.
With the connection configured and a PAT generated, you are ready to connect to PingOne data from Nintex Workflow Cloud.
Connect to PingOne from Nintex
The steps below outline creating a new connection to PingOne data from Nintex (via Connect AI).
- Log into Nintex Workflow Cloud
- In the Connections tab, click "Add new"
- Select "Microsoft SQL Server" as the connector and click "Connect"
- In the SQL Server connection wizard, set the following properties:
- Connection Name: Connect AI
- Username: a Connect AI username (e.g. [email protected])
- Password: the Connect AI user's PAT
- Database Host: tds.cdata.com:14333
- Database Name: the PingOne connection (a.g., PingOne1)
- Click "Connect"
- Configure the connection permissions and click "Save permissions"
Create a Simple PingOne Workflow
With the connection to CData Connect AI configured, we are ready to build a simple workflow to access PingOne data. Start by clicking the "Create workflow" button.
Configure the Start Event Action
- Click the start event task and select the "Form" event
- Click "Design form"
- Drag a "Text - Long" element onto the Form and click the element to configure it
- Set "Title" to "Enter SQL query"
- Set "Required" to true
- Drag a "Text - Short" element onto the Form and click the element to configure it
- Set "Title" to "Enter desired result column"
- Set "Required" to true
Configure an "Execute a Query" Action
- Add an "Execute a query" action after the "Start event: Form" action and click to configure the action
- Set "SQL Script" to the "Enter SQL Query" variable from the "Start event" action
- Set "Column to retrieve" to the "Enter desired result column" variable from the "Start event" action
- Set "Retrieved column" to a new variable (a.g., "values")
Configure a "Send an Email" Action
- Add a "Send an email" action after the "Execute a query" action and click to configure the action
- Set the "Recipient email address"
- Set the "Subject"
- Set the "Message body" to the variable created for the retrieved column
Once you configure the actions, click "Save," name the Workflow, and click "Save" again. You now have a simple workflow that will query PingOne using SQL and sand an email with the results.
To learn more about live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications, check out the CData Connect AI page. Sign up for a free trial and reach out to our Support Team if you have any questions.