How can I query an existing Suitelet from the EFT module (provided by the bundle) using a Scheduled Script in NetSuite, and log all the available fields returned by this Suitelet in the Scheduled Script's logs?

AI generated answer (using internal Slack threads):

To query an existing Suitelet from the EFT module using a Scheduled Script in NetSuite and log all the available fields returned by this Suitelet in the Scheduled Script's logs, you can follow these steps: 1. Create a Scheduled Script: This script will be responsible for calling the Suitelet and logging the returned fields. In NetSuite, navigate to

Customization > Scripting > Scripts > New

, and select

Scheduled Script

. 2. Call the Suitelet from the Scheduled Script: You can use the

https

module in SuiteScript to send a GET or POST request to the Suitelet's URL. Here's a sample code snippet:

javascript
var https = require('N/https');
var url = 'https://<netsuite_account_id>.<http://app.netsuite.com/app/site/hosting/scriptlet.nl?script=<script_id>&deploy=<deploy_id>';|app.netsuite.com/app/site/hosting/scriptlet.nl?script=<script_id>&deploy=<deploy_id>';>
var response = https.get({ url: url });

Replace

<netsuite_account_id>

,

<script_id>

, and

<deploy_id>

with your actual NetSuite account ID, Suitelet script ID, and Suitelet deployment ID, respectively. 3. Log the returned fields: After calling the Suitelet, you can log the returned fields using the

log

module in SuiteScript. Here's a sample code snippet:

javascript
var log = require('N/log');
log.debug({
    title: 'Suitelet Response',
    details: response.body
});

This will log the entire Suitelet response body. If you want to log specific fields, you need to parse the response body first. 4. Schedule the Script: After creating the Scheduled Script, you need to schedule it to run at specific intervals. In NetSuite, navigate to

Customization > Scripting > Script Schedules > New

, and select your Scheduled Script. Remember to test your Scheduled Script in a sandbox environment first before deploying it in a production environment. ****** Disclaimer: This response was generated by an artificial intelligence assistant based on previous conversations from multiple Slack channels, and may contain inaccuracies or mistakes. ******