please write a client side suitescript 2.0 that lo...
# ask-stanley-ai
m
please write a client side suitescript 2.0 that looks for all the related records associated with a sales order and filters return authorizations from the related records.
c
AI generated answer (using internal Slack threads):
Based on the conversations, here is a client-side SuiteScript 2.0 that looks for all the related records associated with a sales order and filters return authorizations from the related records:
Copy code
javascript
/**
 * @NApiVersion 2.x
 * @NScriptType ClientScript
 */
define(['N/search'], function(search) {
    function findRelatedRecords() {
        var salesOrderId = 'YOUR_SALES_ORDER_ID'; // replace with your sales order id

        var mySearch = search.create({
            type: search.Type.SALES_ORDER,
            columns: ['internalid', 'tranid', 'statusref', 'status'],
            filters: [
                ['type', 'anyof', 'SalesOrd'],
                'AND',
                ['mainline', 'is', 'T'],
                'AND',
                ['internalid', 'anyof', salesOrderId]
            ]
        });

        mySearch.run().each(function(result) {
            var relatedRecords = result.getSublistValues({
                sublistId: 'recmachcustrecord_related_sales_order'
            });

            relatedRecords.forEach(function(relatedRecord) {
                if (relatedRecord.recordType === 'returnauthorization') {
                    // process return authorization record
                    console.log('Return Authorization: ' + relatedRecord.id);
                }
            });

            return true; // continue to next sales order
        });
    }

    return {
        pageInit: findRelatedRecords
    };
});
This script will search for a sales order with the specified id, then it will get all the related records from the 'recmachcustrecord_related_sales_order' sublist. It will then filter out the return authorization records from the related records. ****** Disclaimer: This response was generated by an artificial intelligence assistant based on previous conversations from multiple Slack channels, and may contain inaccuracies or mistakes. ******
Slack thread 1: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.830882847
Slack thread 2: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.829370797
Slack thread 3: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.828435063
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