Connect to Asana Data from Filemaker Pro (Mac)

FileMaker Pro is a cross-platform relational database application that allows users to visually modify a database. When paired with CData Connect AI, FileMaker Pro gets access to live Asana data. This article demonstrates how to connect to Asana using Connect AI and query Asana data in FileMaker Pro.

CData Connect AI provides a pure SQL Server interface for Asana, allowing you to query data from Asana without replicating the data to a natively supported database. Using optimized data processing out of the box, CData Connect AI pushes all supported SQL operations (filters, JOINs, etc.) directly to Asana, leveraging server-side processing to return the requested Asana data quickly.

Configure Asana Connectivity for FileMaker Pro

Connectivity to Asana from FileMaker Pro is made possible through CData Connect AI. To work with Asana data from FileMaker Pro, we start by creating and configuring a Asana connection.

1. Log into Connect AI, click Sources, and then click Add Connection
👁 Adding a Connection

2. Select "Asana" from the Add Connection panel
👁 Selecting a data source

3. Enter the necessary authentication properties to connect to Asana.

   You can optionally set the following to refine the data returned from Asana.

   • WorkspaceId: Set this to the globally unique identifier (gid) associated with your Asana Workspace to only return projects from the specified workspace. To get your workspace id, navigate to https://app.asana.com/api/1.0/workspaces while logged into Asana. This displays a JSON object containing your workspace name and Id.
   • ProjectId: Set this to the globally unique identifier (gid) associated with your Asana Project to only return data mapped under the specified project. Project IDs can be found in the URL of your project's Overview page. This will be the numbers directly after /0/.

   Connect Using OAuth Authentication

   You must use OAuth to authenticate with Asana. OAuth requires the authenticating user to interact with Asana using the browser. See the "Getting Started" chapter of the help documentation for a guide to using OAuth.

   👁 Configuring a connection (Salesforce is shown)
   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add Asana Connection page and update the User-based permissions. 👁 Updating 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. 👁 Creating a new PAT
   
4. 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 Asana data from Filemaker Pro.

Connect to Asana from FileMaker Pro using Connect AI

To establish a connection from FileMaker Pro to the CData Connect AI Virtual SQL Server API, follow these steps.

Configure the ODBC Connection to CData Connect AI

1. Download and install the Actual ODBC Driver for SQL Server (actualtech.com)
2. Configure a DSN for the Actual ODBC driver by setting the following properties:
   • URL: tds.cdata.com
   • Port: Change the port from 1433 to 14333
   • Username: Your Connect AI email address
   • Password: the PAT you created earlier

Query Asana from FileMaker Pro

1. In the SQL Query Builder "SELECT" tab, select the columns to include as part of the query. 👁 Configuring the query by selecting columns.
   
2. Open the "WHERE" tab of the SQL Query Builder and select "Show only selected columns."
3. In "Table.Column,"" select a table and a column name.
4. Set the "Operator" to =.
5. Select "Column," and then select the same table and column name as "Table.Column."
6. Click "Insert into SQL Query." 👁 Configuring the query by setting the WHERE clause.
   
7. If no other modifications to the SQL query are required, click "Execute."

Get CData Connect AI

To get live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your SQL Server database, try CData Connect AI today!