Author: Allwin Antony

Converting UTC to Local Time in JavaScript

When working with APIs, timestamps often come in UTC format, which can be confusing for users expecting local time. JavaScript makes it surprisingly easy to convert UTC to a specific time zone using toLocaleString(). Here’s a practical example: const utcDate = new Date(“2025-09-08T15:00:00Z”); const localDate = utcDate.toLocaleString(“en-US”, { timeZone: “America/Los_Angeles” }); console.log(localDate); // “9/8/2025, 8:00:00… Continue reading Converting UTC to Local Time in JavaScript

Resolving the ?upper_case Issue in Advanced PDF Templates

Advanced PDF templates often rely on FreeMarker expressions to dynamically format and display data. One common challenge developers face is ensuring that address fields or other dynamic content are properly transformed to uppercase while preserving special characters and XML compatibility. This article explores the issue with the ?upper_case directive and presents a robust solution The… Continue reading Resolving the ?upper_case Issue in Advanced PDF Templates

Show a Loading Spinner with UI Blur During Long-Running Actions

When performing long-running actions in a NetSuite Suitelet or Client Script — such as generating files, calling APIs, or triggering downloads — it’s good practice to show a loading indicator and block the UI to avoid user interaction. Here’s a reusable snippet that creates a full-screen blur overlay and centered loading GIF (spinner). Why Use… Continue reading Show a Loading Spinner with UI Blur During Long-Running Actions

Enforcing Vendor Selection for A/P Accounts in Journal Entries

Business Scenario When users manually create Journal Entries in NetSuite and select an Accounts Payable (A/P) ledger account, it’s critical to associate the correct Vendor. Failing to do so: Breaks subledger-to-ledger reconciliation, Causes issues with aging reports, And risks compliance with audit standards. To ensure data integrity, a validation was required to block line entries… Continue reading Enforcing Vendor Selection for A/P Accounts in Journal Entries

Creating Summarized Error Records and Sending Email Using Map/Reduce Script in NetSuite

Introduction NetSuite’s Map/Reduce script is a powerful tool for processing large datasets efficiently. This guide will help you understand how to create a script that summarizes error records and sends an email notification with the error details. Steps to Create a CSV File of Error Records Get Input Data: Retrieve the data you need to… Continue reading Creating Summarized Error Records and Sending Email Using Map/Reduce Script in NetSuite

Advanced SuiteScript Map/Reduce for Item Fulfillment Status Updates in NetSuite

Introduction NetSuite’s Map/Reduce framework is essential for processing high-volume transactions asynchronously. This article explores a technical deep dive into how fulfillment statuses are synchronized with external dispatch tracking systems using SuiteScript. System Architecture Overview The process involves: Data Extraction from NetSuite -> Identify unfinished item fulfillment transactions. External API Query -> Fetch real-time status updates… Continue reading Advanced SuiteScript Map/Reduce for Item Fulfillment Status Updates in NetSuite

Best Practices for SuiteScript API Integration in NetSuite Fulfillment Processing Introduction Integrating external APIs into NetSuite SuiteScript requires careful planning to ensure security, performance, and error handling. This article explains best practices for API requests in fulfillment processing. Common Challenges in NetSuite API Integration – Rate Limits → Many third-party APIs limit requests per minute. – Response Parsing → API responses may contain nested JSON data. – Retry Mechanisms → Network failures can impact data integrity. Best Practices for Handling API Requests in SuiteScript 1. Implementing Efficient API Calls with Error Handling External data from Dispatch Tracker is retrieved using REST-based API calls. To avoid script failures, try/catch blocks and response validation are essential. const fetchDispatchTrackerData = (orderId) => { try { let response = jjConfig.getOrderDetails(orderId); if (response.status !== 200 || !response.service_orders.length) { throw new Error(`Invalid response received: ${JSON.stringify(response)}`); } return response.service_orders[0].status; } catch (error) { log.error(“Error in fetchDispatchTrackerData”, error); return null; } };  2. Implementing API Request Retry Logic Sometimes API calls fail due to network latency or server errors. Implementing a retry mechanism ensures the request completes successfully. const fetchWithRetry = (orderId, retries = 3) => { for (let attempt = 0; attempt { return { orderId: response.service_orders[0]?.order_id || “”, status: response.service_orders[0]?.status || “Unknown”, scheduledDate: response.service_orders[0]?.scheduled_at || “” }; }; Conclusion By implementing secure, efficient API requests, developers can seamlessly update NetSuite Item Fulfillment statuses, ensuring accurate order tracking across external systems. These highly technical articles provide a deeper dive into optimizing SuiteScript workflows. Would you like further refinements, or additional debugging strategies?

Introduction Integrating external APIs into NetSuite SuiteScript requires careful planning to ensure security, performance, and error handling. This article explains best practices for API requests in fulfillment processing. Common Challenges in NetSuite API Integration Rate Limits → Many third-party APIs limit requests per minute. Response Parsing → API responses may contain nested JSON data. Retry… Continue reading Best Practices for SuiteScript API Integration in NetSuite Fulfillment Processing Introduction Integrating external APIs into NetSuite SuiteScript requires careful planning to ensure security, performance, and error handling. This article explains best practices for API requests in fulfillment processing. Common Challenges in NetSuite API Integration – Rate Limits → Many third-party APIs limit requests per minute. – Response Parsing → API responses may contain nested JSON data. – Retry Mechanisms → Network failures can impact data integrity. Best Practices for Handling API Requests in SuiteScript 1. Implementing Efficient API Calls with Error Handling External data from Dispatch Tracker is retrieved using REST-based API calls. To avoid script failures, try/catch blocks and response validation are essential. const fetchDispatchTrackerData = (orderId) => { try { let response = jjConfig.getOrderDetails(orderId); if (response.status !== 200 || !response.service_orders.length) { throw new Error(`Invalid response received: ${JSON.stringify(response)}`); } return response.service_orders[0].status; } catch (error) { log.error(“Error in fetchDispatchTrackerData”, error); return null; } };  2. Implementing API Request Retry Logic Sometimes API calls fail due to network latency or server errors. Implementing a retry mechanism ensures the request completes successfully. const fetchWithRetry = (orderId, retries = 3) => { for (let attempt = 0; attempt { return { orderId: response.service_orders[0]?.order_id || “”, status: response.service_orders[0]?.status || “Unknown”, scheduledDate: response.service_orders[0]?.scheduled_at || “” }; }; Conclusion By implementing secure, efficient API requests, developers can seamlessly update NetSuite Item Fulfillment statuses, ensuring accurate order tracking across external systems. These highly technical articles provide a deeper dive into optimizing SuiteScript workflows. Would you like further refinements, or additional debugging strategies?

How Business Models Influence API Endpoint Design and Security

When integrating systems like NetSuite with external platforms such as DispatchTrack, one may notice variations in API endpoint configurations across different clients. A particularly interesting observation arises when the API endpoints differ based on the client’s business model—for instance, B2B (Business-to-Business) versus B2C (Business-to-Consumer). This article explores why such differences exist, with a focus on… Continue reading How Business Models Influence API Endpoint Design and Security

Fixing CSV Column Misalignment Due to Commas in Field Values

Problem Summary When generating CSV files, field values that contain commas can cause column misalignment. This typically happens with descriptive fields like Customer or Project names, especially in entries like: 10001 ABC Company : Commercial Development at BKC, Mumbai The comma in “BKC, Mumbai” causes the CSV parser to split this value into two separate… Continue reading Fixing CSV Column Misalignment Due to Commas in Field Values