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Resolved Issues

View the resolved issues for a specific Platform release.

Go to download resolved issues by patch release.

Browse release notes for a selected Pega Version.

NOTE: Enter just the Case ID number (SR or INC) in order to find the associated Support Request.

SR-D49537 · Issue 521112

Embedded Pega Chat error resolved

Resolved in Pega Version 8.2.6

A cross-origin frame error was shown when the Pega Chat Window was embedded in a non-Pega page. Investigation traced the issue to code that was accessing the top/parent window, and which failed when used in a mashup scenario. This has been resolved with a try/catch block to wrap the code and handle scenarios where the

SR-D49782 · Issue 518048

Extension point added for ClearInteraction to support custom interactions

Resolved in Pega Version 8.2.6

In order to support clearing a custom interaction page after clicking the "Reset" button on preview console, an extension point has been added to pyClearInteraction.

SR-D57865 · Issue 520963

Added property check for outbound templated email reply

Resolved in Pega Version 8.2.6

When a template was used for the first time for outbound correspondence, email was generated correctly. If the same template was used as the content for reply, the generated email skipped all styles. This was traced to a missing property check, and has been resolved.

SR-D63638 · Issue 544016

Performance improvements for opening cases with embedded images

Resolved in Pega Version 8.2.6

Opening cases containing email interactions was taking an excessive amount of time. This was traced to the use of embedded images, icons, etc, in the message body and signature, and was caused by the pyGetAttachmentsbyCID activity running multiple times due to discussion threads that were duplicated over and over. In some cases, more than 360 calls to the database were seen. This has been resolved by shifting some case opening processes to executing when the listener thread gets the mail, and storing the results in a .pynote property, and a URL will be used to get images instead of embedding them directly to the HTML. If preferred, this can be reverted to the previous behavior by changing the when rule (pyUseCachedHtmlForDisplay) to false.

INC-154254 · Issue 632638

Correct Email Bot training text highlighted

Resolved in Pega Version 8.4.6

When a piece of text was selected and tagged against an entity while training the Email Bot, the entity selection was misplaced and partially covered the actual text selected. The incorrect selection was then carried forward to the training data spreadsheet. To resolve this, rule changes have been made that will update HTML entities to HTML encoded forms.

INC-175994 · Issue 667483

Removed redundant Microsoft Outlook email interaction chain

Resolved in Pega Version 8.4.6

When opening an email interaction case, the email editor user interface area showed the complete email chain of the email for every new message that came in related to the case. This was traced to the difference in the selectors that various email clients use to construct a response to an email with email history in it, and has been resolved by updating the selectors for Microsoft Outlook in pyRichTextEmailHistorySelector so no conversation is repeated when using that client.

INC-187031 · Issue 676245

Topic handling updated for behavior tab

Resolved in Pega Version 8.4.6

While submitting topics configured on the behavior tab of the chat channel, duplicate records were created and a null pointer exception was generated. Investigation showed this was due to a difference in Topic handling between the email channel and the chat channel in a modal window, and has been resolved.

INC-147654 · Issue 642189

Updates to displaying embedded images in cases

Resolved in Pega Version 8.7

Sending an email with an embedded image to the email ID associated with the email listener successfully created the interaction case, but the embedded image was not displayed when the case was opened from the work-basket. A rule-not found exception was seen in the tracer for pyGetImageDisplay, the rule responsible for displaying the images in the ET pane. Investigation showed that when URLObfuscation was turned on, the decryption of the URL was not successful because "&" had been encoded to '& amp;'. This has been resolved by calling the activity pyGetImageForDisplay using URLMapping instead. An additional issue was seen with displaying images in the email interaction pane where the additional empty new lines moved the image outside the intended place. This was traced to a customization for the reply area which used the pyHighlightedMessage property and converted newlines to br tags even in HTML mode. To resolve this, pyHighlightedMessage has ben modified to convert newlines to br tags only if the mode is plain text.

INC-154254 · Issue 674945

Correct Email Bot training text highlighted

Resolved in Pega Version 8.7

When a piece of text was selected and tagged against an entity while training the Email Bot, the entity selection was misplaced and partially covered the actual text selected. The incorrect selection was then carried forward to the training data spreadsheet. To resolve this, rule changes have been made that will update HTML entities to HTML encoded forms.

INC-166844 · Issue 651407

Email bot updated to handle negative and positive feedback on the same text

Resolved in Pega Version 8.7

When positive and negative training was done on the same piece of text, text extraction by Email Bot failed. For example, when using the sentence. “John Smith plays cricket”, the bot detects “John” as person name. If user wants to train the bot to detect “John Smith” as the entity, the user needs to first remove “John” and build the model, and then select “John Smith” and build the model again. In this case, the email bot never again detects “John Smith” as person name due to the negative feedback given for “John”. This was traced to the entities having same the startIndex/endIndex, and has been resolved by removing entities of the same modelName which have the pyIsRemoved property as true so that multiple entity models are detected on the same word.

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