Free Text Model rule type name changed to Text Analyzer
Valid from Pega Version 7.2.2
The name of the Free Text Model rule type has been changed to Text Analyzer. When you upgrade to Pega 7.2.2, the rule type name of all Free Text Model rules in your application will change automatically to Text Analyzer.
For more information, see Text Analyzer.
New graphical layout and shapes on the Data Flow form
Valid from Pega Version 7.2.2
The Data Flow form has an enhanced layout that improves interaction with objects on the canvas and provides better readability of flow shapes. The enhancements also include the addition of Branch and Data Transform shapes, and the Convert shape, which supports page unpacking. With these enhancements, you can build data flows more efficiently and capture business requirements more effectively.
For more information, see Improvements to the Data Flow rule form and New shapes on the Data Flow form.
Terminate sessions for operators from outside the Pega 7 Platform
Valid from Pega Version 7.2.2
The newly added Users REST API allows an authorized administrator to terminate sessions for one or more operator IDs from outside the Pega® 7 Platform. A typical use case for this API is to terminate a user’s session when the user's security credentials, which are stored externally, are known to have changed.
Access the Pega API by clicking .
Monte Carlo data set
Valid from Pega Version 7.2.2
You can now create a Monte Carlo data set that is filled with varied and realistic-looking data. You can use this type of data set to generate random data records to test strategies and data flows.
For more information, see Creating a Monte Carlo data set record.
The UpdateAdaptiveModels agent causes an exception after Pega 7.2 to 7.2.1 upgrade
Valid from Pega Version 7.2.1
After the Pega 7 Platform is upgraded from version 7.2 to 7.2.1, the log files might show an error that is caused by the UpdateAdaptiveModels agent. This agent is enabled by default and is responsible for updating scoring models in the Pega 7 Platform. If you use adaptive models in your solution, you can avoid this error by configuring the Adaptive Decision Manager service. If you do not use adaptive models, disable the UpdateAdaptiveModels agent.
For more information, see Configuring the Adaptive Decision Manager service and Pega-DecisionEngine agents.
Support for creating PegaUnit test cases for strategy rules
Valid from Pega Version 7.2.2
You can create PegaUnit test cases for strategy rules in Designer Studio and in the decisioning user portals to compare the output of a strategy to the results that are returned by running the strategy. For example, you can verify that the number of propositions per customer is less than or equal to a certain value.
For more information, see:
- Creating test cases for strategy rules, if you are working in the decisioning user portals.
- PegaUnit testing
Conditional filter logic supported in access control policy conditions
Valid from Pega Version 7.2.2
In the Access Control Policy Condition rule form, you can now add conditional logic that allows you to apply different access control policy conditions based on different situations, such as different types of users. The policy condition filters that are enforced are based on the results of Access When rules. Conditional filters can be configured to allow certain highly privileged users to bypass access control security in certain situations. This is accomplished by entering an Access When but leaving the conditional logic field blank. When such a filter is applied to a read access policy it also should be applied to the corresponding discover policy.
For more information, see Creating an access control policy condition.
Export and import operations for data sets
Valid from Pega Version 7.2.2
You can move data between data sets and Pega 7 Platform instances more easily with export and import operations. You can use the export operation to prepare a backup copy of data outside the Pega 7 Platform. The import operation facilitates initialization of new Pega 7 Platform environments by providing a prepared set of data. You can export data from the data sets that support the Browse operation, and you can import data into the data sets that support the Save operation. Export and Import operations are not available for stream data sets such as Facebook, Stream, Twitter, and YouTube.
For more information, see Exporting data from a data set and Importing data into a data set.
Use Kerberos credentials in a Pega application to authenticate and access external systems
Valid from Pega Version 7.2.2
Authentication services now support Kerberos as an authentication type. When you connect from the Pega 7 Platform to external systems and services that require Kerberos authentication, the Pega 7 Platform stores the user Kerberos credentials and makes them available in Pega 7 Platform connectors.
For more information, see Using Kerberos credentials in a Pega application to authenticate and access external systems.
Text analytics infrastructure upgraded to Java version 1.7
Valid from Pega Version 7.2.2
The JAR libraries that support the text analytics features of the Pega 7 Platform have been upgraded to Java 1.7. As a result of the upgrade, you can validate the Ruta scripts that contain entity extraction models and view error reports if the imported Ruta scripts are invalid. This upgrade helps you to ensure that the structure of the entity extraction models that you import to your application is always correct.
For more information, see Text Analyzer.