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Connect to live data from Calendly with the API Driver

Connect to Calendly

Connect to Calendly Data in DigitalSuite Studio through RunMyProcess DSEC



Use Arkobi Digital's low-code cloud native platform RunMyProcess's DigitalSuite EnterpriseConnect (DSEC) to connect to Calendly.

The CData JDBC Driver for Calendly implements JDBC Standards and enables a applications ranging from BI to IDE to connect with Calendly. In this article, we describe how to connect to Calendly data from Arkobi Digital RunMyProcess's DSEC and connect to Calendly in RunMyProcess.

Setting up EnterpriseConnect Agent

Configure the EnterpriseConnect Agent following the EnterpriseConnect page in the RunMyProcess documentation.

Setting up JDBC Adapter

The JDBC Adapter section describes the steps to connect to RDBMS through JDBC. Follow the steps and open the JDBC.config file.

  1. Create a JSON entry for the CData JDBC Driver for Calendly, e.g. API = { "sqlDriver" : "...", "sqlSource" : "...", "sqlDriverPath" : "..." }
  2. Set the "sqlDriver" field to the Class name for the CData JDBC Driver, e.g.
    cdata.jdbc.api.APIDriver
  3. Set the "sqlSource" field to a JDBC URL for connecting to Calendly, e.g.
    jdbc:api:Profile=C:\profiles\Calendly.apip;ProfileSettings='APIKey=your_api_token';

    Built-in Connection String Designer

    For assistance in constructing the JDBC URL, use the connection string designer built into the Calendly JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

    java -jar cdata.jdbc.api.jar

    Fill in the connection properties and copy the connection string to the clipboard.

    Start by setting the Profile connection property to the location of the Calendly Profile on disk (e.g. C:\profiles\CalendlyProfile.apip). Next, set the ProfileSettings connection property to the connection string for Calendly (see below).

    Calendly API Profile Settings

    To authenticate to Calendly, you will need to provide an API Key. The Calendly API Key, can be found in your Calendly account, under 'Integrations' > 'API & Webhooks' > 'Generate New Token'. Set the APIKey in the ProfileSettings connection property.

  4. Set the "sqlDriverPath" field to the name of the CData JDBC Driver JAR file, e.g.
    cdata.jdbc.api.jar

Sample JDBC.config File

#DBAgent Configuration API = {"sqlDriver" : "cdata.jdbc.api.APIDriver", "sqlSource" = "jdbc:api:Profile=C:\profiles\Calendly.apip;ProfileSettings='APIKey=your_api_token';","sqlDriverPath" = "cdata.jdbc.api.jar" }

Put the JDBC driver JAR file (cdata.jdbc.api.jar) into the same directory as unified-adapter-[version].jar.

Note: Make sure to put the CData license file (cdata.jdbc.api.lic) into the same directory. Since the license is generated based on the unique identifier of the machine where the product in installed, you will need an offline activation if you want to put the file on another machine.

Starting DigitalSuite EnterpriseConnect Agent

In Windows, start RunMyProcess DigitalSuite EnterpriseConnect Agent in Windows services. To start the application through command line, see Starting the EnterpriseConnect Agent in the RunMyProcess documents.

Starting the JDBC Adapter

Start the JDBC Adapter from runAdapter.bat. Once the Adapter is running, you can access the application through the agent address (e.g. 127.0.0.1:8080). Below is an example executing the command in Windows.

... > java -Djava.util.logging.config.file=./log.properties -cp lib/* org.runmyprocess.sec2.AdapterHandler : 2021-06-09 14:37:58|INFO|correlationId=|Searching for config file... 2021-06-09 14:37:58|INFO|correlationId=|Adapter Handler started with [JDBC] configuration 2021-06-09 14:37:59|INFO|correlationId=|agent address: 127.0.0.1:8080 2021-06-09 14:38:00.251:INFO::ConnectionThread: Logging initialized @1820ms to org.eclipse.jetty.util.log.StdErrLog 2021-06-09 14:38:00|INFO|correlationId=|onConnect() websocket connection between Agent and Adapter established

Once the DigitalSuite EnterpriseConnect Agent and JDBC Adapter are running, access http://localhost:(specified-port-number)/ through your browser to open the page shown below.

Check the availability of the JDBC Adapter using tools such as Postman or cURL. Here, we use Postman to send the HTTP POST request.

Configure the RequestHeader as follows:

Content-Type application/json

Configure the RequestBody as follows:

{ "protocol":"JDBC", "data":{ "DBType":"API", "sqlUsername":"", "sqlPassword":"", "sqlStatement":"SELECT * FROM OrganizationScheduledEvents" } }

If the JDBC.config file contains credential information, sqlUsername and sqlPassword can be left empty. If you are not sure of the table name, you can retrieve the list of tables using the request SELECT * FROM sys_tables

The request is successful if the Status is 200 and the Body contains Calendly data in JSON format.

Connect to Calendly through DSEC Agent in DigitalSuite Studio

Create a DigitalSuite Studio project and then create a Provider in the project.

  • URL: The URL for accessing JDBC Agent (e.g. http:localhost:8080/)
  • Authentication Scheme: Login/password
  • Login: The value from agent.user in the application.properties file
  • Password: agent.password in the application.properties file
  • Secured: Checked
  • Use DigitalSuite EnterpriseConnect: Checked
  • With domain: The value from agent.domain in application.properties file

Next, create a Connector in the Provider.

  • Connector URL: Leave this empty
  • Architecture: REST/XML-RPC
  • Method: POST
  • Result format: JSON
  • Accept media type: application/json
  • Character set: Automatic
  • Content: Same as the Request body used in the JDBC Adapter
  • Content type: application/json

The JSON data we used as the Request body in JDBC Adapter:

{ "protocol":"JDBC", "data":{ "DBType":"API", "sqlUsername":"", "sqlPassword":"", "sqlStatement":"SELECT * FROM OrganizationScheduledEvents" } }

Open Launch Test to perform the test. The test is successful if Calendly data is shown in Result on the right pane.

Now you can use Calendly data in RunMyProcess DigitalSuite Studio through DSEC.

For the detailed information on supported SQL commands, refer to the SQL Compliance section in our help documentation. For information on tables, refer to the Data Model section.