Pradeep Kumar
05/05/2025, 10:31 AMCeligo AI
05/05/2025, 10:31 AMAI generated answer (using internal Slack threads):To build a pivot table for opening and closing balance against the customer, you would need to use the following fields: 1. Customer: This field will identify the customer for which the balances are being calculated. 2. Opening Balance: This field will represent the balance at the start of the period. You can calculate this by taking the closing balance of the previous period. 3. Transactions: This field will represent all the transactions that occurred during the period. You can filter these transactions based on the date filter selected. 4. Closing Balance: This field will represent the balance at the end of the period. You can calculate this by adding the opening balance and the transactions. In NetSuite, you can create a Suitelet to fetch these details and display them in a pivot table. You can use the
nlapiSearchRecord
function to fetch the required details. Here is a sample code snippet:
javascript
var filters = [];
filters.push(new nlobjSearchFilter('internalid', null, 'anyof', customerId));
filters.push(new nlobjSearchFilter('trandate', null, 'within', startDate, endDate));
var columns = [];
columns.push(new nlobjSearchColumn('internalid'));
columns.push(new nlobjSearchColumn('trandate'));
columns.push(new nlobjSearchColumn('amount'));
var searchResults = nlapiSearchRecord('transaction', null, filters, columns);
In this code snippet, customerId
, startDate
, and endDate
are variables that you would need to replace with the actual values based on the customer and date filter selected.
******
Disclaimer:
This response was generated by an artificial intelligence assistant based on previous conversations from multiple Slack channels, and may contain inaccuracies or mistakes.
******Celigo AI
05/05/2025, 10:32 AMSlack thread 1: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.812217832
Slack thread 2: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.802641928
Slack thread 3: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.802194118
Celigo AI
05/05/2025, 10:32 AMPradeep Kumar
05/05/2025, 10:33 AM