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Version 10.2.9.1

Release date

August 29, 2024

The patch aims to extend Superset installation options, enhance real-time data handling, simplify complex data manipulations, and optimize your automation workflows.

Generic Connector updates​

A new component for Generic Connector, Rest Server Trigger, is introduced to define a REST API endpoint that listens to synchronous communication across the entire Business Process and returns responses.

For the Rest Server Trigger step, on the Input / Output tab, the Input and Output labels are renamed into Response and Request, respectively. This clarifies the logic, indicating that the input is a response from another step, while the output is a REST request from an external source. For instructions, see the documentation.

WorkFusion also reworked the Generic Connector Rest Client to simplify and speed up the setup of custom connectors. The improvements also include:

  • Support for the multipart/form-data Content Type and ability to specify fields as text or binary/File, with file support via S3 location

  • Contract support for URL-encoded body content

For details, see Configure no-code Generic Connector | Rest Client.

Enhanced automation data flow​

To provide a more streamlined and efficient data automation flow, the schema configuration interface was enhanced with the option to delete unused schema objects.

Simplified data handling​

Setting no-code bot steps is made even easier due to the no-code array manipulation. Now, when working with expressions, you can extract values from complex objects and select indexes in an array.

Payload Code component for custom submission data​

The Payload Code component is introduced in Manual Task Designer where you create Manual Task forms and in Form Builder where you design custom Digital Worker configuration windows. The new component allows setting custom predefined submission data. The data is accessible to other components but becomes visible only in the submitted data upon executing the submission action.

For more details, read the following topics:

Custom OCR license in Work.AI Developer​

You can set a custom OCR license for the Work.AI Developer as you install it, which introduces a new level of flexibility and control and allows scalable licensing. Thus, you can tailor OCR usage to your needs, ensuring optimal accuracy, efficiency, and compliance.

Extended installation options for Superset-based analytics​

You can now leverage Podman as an alternative to Docker for Superset server setup. Podman addresses the issue with the open-source Docker not supported on RHEL 8. The open-source tool allows for tighter integration and better compatibility with RHEL 8 without additional configuration and troubleshooting, while providing a streamlined lyfecycle management experience, including rollbacks and upgrades.

Improvements​

AutoML​

  • Extended the import and export functionality for models and Asset Bundles in Control Tower to support ML Ops-based models.

Corrected issues​

Control Tower​

  • Resolved the issue with the incorrect title of the screen for schema object editing.

  • Resolved the issue with system variables converted incorrectly for the legacy data format when adding schema-based bot steps to schemaless Business Processes.

  • Resolved the issue with the trigger running after the instance was deleted.

  • Resolved the issue with reading _sys_refs_secret from the Worker code when creating a schema-based Task Processor.

RPA​

  • Resolved the issue with the RPA installation failure due to the installer not accepting the installation directory name with whitespace, for example, C:/Program Files(x86)/RPA. When installing to the Program Files directory, make sure to specify exactly the Program Files(x86) folder.

Upgrades​

To eliminate vulnerabilities and enhance security, WorkFusion updated third-party components for the Work.AI installer:

  • Upgraded Nginx to v1.26.1

  • Upgraded Python to v3.12.4, with OpenSSL v3.3.1 included into the Python package.

Deprecations​

Swapping is removed to enhance the efficiency of the garbage collector in Java applications, ensuring more robust and smoother performance and better application stability.

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