Build SAS xpt-Connected Apps in Bubble

Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Use CData Connect AI to create an OData feed for SAS xpt Data and create custom apps in Bubble.

Bubble is a no-code platform that simplifies the process of developing and launching apps and businesses. When coupled with CData Connect AI, you gain effortless no-code access to SAS xpt data for streamlined app development. This article guides you through the integration process from Bubble to SAS xpt using CData Connect AI.

CData Connect AI provides a pure cloud-to-cloud OData interface for SAS xpt data that allows you to integrate from Bubble to SAS xpt data in real time.

Connect to SAS xpt from Bubble

To work with SAS xpt data from Bubble, we need to connect to SAS xpt from Connect AI, provide user access to the connection, and create a Workspace for the SAS xpt data.

Connect to SAS xpt from Connect AI

CData Connect AI uses a straightforward, point-and-click interface to connect to data sources.

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. Select "SAS xpt" from the Add Connection panel
  3. Enter the necessary authentication properties to connect to SAS xpt.

    Connecting to Local SASXpt Files

    You can connect to local SASXpt file by setting the URI to a folder containing SASXpt files.

    Connecting to S3 data source

    You can connect to Amazon S3 source to read SASXpt files. Set the following properties to connect:

    • URI: Set this to the folder within your bucket that you would like to connect to.
    • AWSAccessKey: Set this to your AWS account access key.
    • AWSSecretKey: Set this to your AWS account secret key.
    • TemporaryLocalFolder: Set this to the path, or URI, to the folder that is used to temporarily download SASXpt file(s).

    Connecting to Azure Data Lake Storage Gen2

    You can connect to ADLS Gen2 to read SASXpt files. Set the following properties to connect:

    • URI: Set this to the name of the file system and the name of the folder which contacts your SASXpt files.
    • AzureAccount: Set this to the name of the Azure Data Lake storage account.
    • AzureAccessKey: Set this to our Azure DataLakeStore Gen 2 storage account access key.
    • TemporaryLocalFolder: Set this to the path, or URI, to the folder that is used to temporarily download SASXpt file(s).

  4. Click Save & Test
  5. Navigate to the Permissions tab in the Add SAS xpt 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.

  1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
  2. On the Settings page, go to the Access Tokens section and click Create PAT.
  3. Give the PAT a name and click Create.
  4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

Configure SAS xpt Endpoints for Bubble

After connecting to SAS xpt, create a workspace for your desired table(s).

  1. Navigate to the Workspaces page and click Add to create a new Workspace (or select an existing workspace).
  2. Click Add to add new assets to the Workspace.
  3. Select the SAS xpt connection (e.g. SASXpt1) and click Next.
  4. Select the table(s) you wish to work with and click Confirm.
  5. Make note of the OData Service URL for your workspace, e.g. https://cloud.cdata.com/api/odata/{workspace_name}

With the connection, PAT, and Workspace configured, you are ready to connect to SAS xpt data from Bubble.

Build a SAS xpt-Connected App

With OData endpoints added to Connect AI, you can build an app in Bubble with live access to SAS xpt data.

Configure the Bubble API Connector

To start, Configure the API Connector for accessing CData Connect AI from Bubble.

  1. In your app, click the Plugins tab and click Add plugins
  2. Search for "API Connector" and click Install
  3. After installation, click the "Add another API" button and configure the API:
    • Name the API
    • Set Authentication to "HTTP Basic Auth"
    • Set Username to a Connect AI user (e.g. [email protected])
    • Set Password to the PAT for the user
    • Expand the API Call, select the "GET" command and set the URL to a Workspace endpoint you previously configured (e.g. https://cloud.cdata.com/api/odata/{workspace_name}/SampleTable_1)
  4. Click the "Initialize call" button to adjust data types in the response (as needed)
  5. After making any necessary changes, click "Save"

Configure the App UI

With the API Connector configure, you are ready to retrieve SAS xpt data in your Bubble app. In this article, we request the data with a UI component that can display an Excel-like table.

  1. On the Plugin tab, install the "Excel-like HandsonTable"
  2. On the Design tab, add an "Excel Table" to the workspace
  3. In the Excel Table, in Data source, select "Get data from an external API"
  4. Set Type of content to "API Call value"
  5. Set Data source to "CData Connect AI - API Call's value" (or equivalent)
  6. Click "Preview" to ensure the data was retrieved from SAS xpt.

At this point, you can develop applications with live access to SAS xpt data without needing to know the complexities of the back-end API.

Live Access to SAS xpt Data from Cloud Applications

Now you have a direct connection to live SAS xpt data from Bubble. You can create more SAS xpt-connected apps — all without writing any code or replicating SAS xpt data.

To get live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications, see the CData Connect AI.

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