LogoLogo
  • 🖐️Welcome Aboard!
  • 📖Information
    • What is Autom Mate?
    • What is Autom?
    • Features of Autom Mate
    • Architecture of Autom Mate
  • 🤓Learn Autom Basics
  • 📚Libraries
    • Integration
      • Active Directory
      • AFAS
      • Autom Mate
      • Azure Active Directory
      • Azure DevOps
      • BambooHR
      • ChatGPT
      • ConnectWise
      • Database
      • Desktop Actions
      • EasyVista
      • Email
      • Exchange Web Server
      • Exact Online
      • Excel
      • Freshdesk
      • Freshservice
      • Ftp-Sftp
      • GitLab
      • Google Drive
      • Google Workspace
      • HaloITSM
      • Hubspot
      • Intune
      • Ivanti Service Manager
      • Jenkins
      • Jira Confluence
      • Jira Service Management
      • Jira Software
      • Lakeside
      • Lansweeper
      • Matrix42
      • ME ServiceDesk Plus
      • Microsoft Outlook Calendar
      • Microsoft SharePoint
      • Microsoft Teams
      • My ChatGPT
      • OCR
      • OKTA
      • PDF
      • PowerShell
      • Python
      • RESTful Web Service
      • Salesforce
      • ServiceDesk Plus Cloud
      • ServiceNow
      • Slack
      • SolarWinds
      • Stripe
      • TOPdesk
      • Twilio
      • Twitch
      • VMware
      • Whatsapp 360Dialog
      • WhatsApp-Meta
      • Word
      • X
      • Xurrent
    • Transform
      • Advanced Actions
      • Array
      • Base64
      • Condition
      • Cryptography
      • CSV
      • Data Table
      • Date
      • File
      • Folder
      • Number
      • Object
      • Repeatable
      • SSH
      • String
      • Text
    • Utility
      • Display Message
      • Grouping
      • Mate DB
      • Mate Drive
      • Time Management
    • Agentic AI (Beta Version)
      • Open AI (Beta Version)
  • 🎇Autom Features
    • Variables
    • Triggers
    • Data Manager
    • Debug
    • Stop Action
    • Function
    • Error Handling and Exception Management
    • Development Mode ( Dev Mode )
    • Business Impact Estimator
  • 🛰️Product Features
    • Dashboard
      • Dashboard
      • Monitoring
      • Alerts
    • Store
      • Autom Store
      • Library Store
    • My Environment
      • Mate Agent
      • Automs
      • Libraries
    • Management
      • User Management
        • Users
        • Roles
        • Forgot Password
      • Vault
      • Webhook & API
      • Alert Management
      • Queue
    • Create Autom
    • Settings
      • Personalization
      • Port & SSL
      • Mail Server
      • License
      • Log Retention
    • Time Zone Management in Autom Mate
  • 💾Installation Setup
    • System Requirements and Ports Configuration
    • Autom Center Installation
      • Autom Center Installation
      • Autom Center Update
    • Mate Agent Installation
      • Mate Agent Installation
      • Mate Agent Update
    • App Installations
      • MS Teams ChatBot Installation
    • Full Chain PFX File Creation Guide
  • 📔Release Notes
    • Amsterdam Edition
      • Amsterdam 3.2.9
      • Amsterdam 3.3.0
    • Boston Edition
      • Boston 4.0.0
      • Boston 4.1.0
      • Boston 4.2.0
      • Boston 4.3.0
        • Boston 4.3.1
        • Boston 4.3.2
        • Boston 4.3.3
        • Boston 4.3.4
        • Boston 4.3.5
        • Boston 4.3.6
        • Boston 4.3.7
      • Boston 4.4.0
        • Boston 4.4.1
      • Boston 4.5.0
  • 🎓Academy
    • 🎓Autom Mate Academy: Basics of Autom Mate
    • 🎓Mastering Automation with Autom Mate: From Workflow Creation
    • 🎓The Ultimate Autom Mate: Teams & Smart Integrations
  • 👔Autom Store & Use Cases
    • 🛒Autom Store Use Cases
    • 🖥️Use Cases
      • How to Create Bidirectional Connection Between JIRA and Xurrent to Open Requests or Tickets
      • Employee Onboarding Process Automation Using Autom Mate
  • ❓FAQ
    • ⚙️General Functionality
    • 🧩Integration Capabilities
    • Data Management and Validation
    • ⁉️Error Handling and Workflow Management
    • Automation Use Cases
    • Connectors and Triggers
    • Custom GPT Models
Powered by GitBook
On this page
  • 🚀 Highlights of this Release
  • 🅱️ Bug Fixes
  • 🛠️ Enhancement
  • Detailed Version

Was this helpful?

  1. Release Notes
  2. Boston Edition
  3. Boston 4.3.0

Boston 4.3.5

📅 Release Date: January 15, 2025 - 📅 Next Release Date: January 31, 2025

🚀 Highlights of this Release

This release addresses several key issues and improvements. A critical bug in the Data Manager has been fixed, ensuring proper handling of static text and object variables. Additionally, we resolved a UTF-8 marshaling error impacting RWS functionality, and an App Connector issue that prevented tokens from being written to headers without a prefix. Furthermore, the "Log Input & Output Preview" feature has been enhanced to ensure copied data reflects the raw data accurately, removing unnecessary keys.

🅱️ Bug Fixes

📌 Data Manager (sys_action_fields) Field Variable and Static Text Usage Error

Resolved an issue where only numeric values were passed when static text and object variables were combined in the Data Manager. Now, the full object variable is properly passed as input.

📌 Marshal UTF8 Error RWS

Fixed a UTF-8 marshaling error that affected RWS functionality, ensuring proper encoding and data serialization, preventing operation failures.

📌 App Connector Error

Addressed an issue where tokens without a prefix could not be written to the token header, ensuring smooth token handling regardless of prefix usage.


🛠️ Enhancement

📌 Log Input & Output Preview

Enhanced the "Log Input & Output Preview" feature to ensure copied data accurately reflects the raw data by removing unnecessary keys, improving data consistency.


Detailed Version

Data Manager (sys_action_fields) Field Variable and Static Text Usage Error

A bug was identified where static text and object variables containing numeric values were not processed correctly in the Data Manager. When users combined static text with object variables (e.g., xxxx ##obj[aa]## yyyy), only the numeric value (e.g., 123) was passed, instead of the entire object. This caused incomplete data to be passed through the system. This issue, present in version 4.3.4, has been fixed to ensure that the full object variable, including both static text and object values, is passed as input. This ensures data integrity and accurate handling of mixed input types.

Marshal UTF8 Error RWS

In the previous version, UTF-8 encoding errors were encountered during the marshaling process, particularly affecting the RWS (Request-Write-Serialization) functionality. This error resulted in failures when attempting to serialize and encode data, especially when dealing with special characters or multi-byte characters. The fix ensures that UTF-8 encoded data is now properly handled during the marshaling process, allowing for smooth data serialization and preventing operational failures. This improvement strengthens the system's capability to handle diverse data inputs and ensures consistent performance across different encoding scenarios.

App Connector Error

An issue was found in the App Connector where tokens without a prefix could not be written to the header, disrupting the token-handling process during API communications. This occurred because the system required a token prefix, and without it, the token would not be accepted by the connector. This bug has now been fixed to allow tokens to be successfully written to the header, even when no prefix is provided. This fix eliminates an obstacle in token processing, ensuring smoother integration and communication between the system and external services, even in cases where the token prefix is not used.

Log Input & Output Preview

The "Log Input & Output Preview" feature has been significantly enhanced to improve data copying accuracy. Previously, when copying data from monitoring logs, extra keys such as total_counts and sys_inputs_total_counts were mistakenly added, which caused confusion and resulted in inaccurate data copies. With this enhancement, these extra keys have been removed, ensuring that the copied data now reflects the raw data accurately as it appears in the UI. This improvement enhances data consistency and reduces the risk of user error when copying and analyzing log data. Users can now confidently copy and use the data without worrying about unnecessary additions or discrepancies.

PreviousBoston 4.3.4NextBoston 4.3.6

Last updated 4 months ago

Was this helpful?

📔
Page cover image