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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 SR ID number in order to find the associated Support Request.

INC-136264 · Issue 582469

Chatbot text starts scroll at top of answer

Resolved in Pega Version 8.2.8

In order to present an improved interface for customers interfacing with chatbots, the code has been updated so that the recipient's chat scroll will remain at the top of an answer that would scroll off the screen.

INC-147654 · Issue 642187

Updates to displaying embedded images in cases

Resolved in Pega Version 8.6.1

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-166844 · Issue 651406

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

Resolved in Pega Version 8.6.1

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.

INC-170135 · Issue 652524

Rich HTML handling added for outbound email

Resolved in Pega Version 8.6.1

The HTML content was visible in the received email when replying from the email pane in the existing email interaction. This has been resolved by adding logic to handle rich HTML for outbound email.

INC-173193 · Issue 660937

Resolved exception from isArchived

Resolved in Pega Version 8.6.1

After update, the message "ERROR - Could not retrieve the database time" was seen. This was traced to the interactions of the isArchived API with a version of Oracle, and has been resolved by adding code to skip the isArchived() API call if pzIsPegaCloud is set to false.

INC-174475 · Issue 650108

Removed unnecessary commit in pyGetAttachmentsByCids

Resolved in Pega Version 8.6.1

Attempting to reply to inbound emails generated the error "This action is not allowed as it is outside the current transaction". Investigation showed a commit was occurring for pygetattachmentsbycids even when there was no change in attachment, and this interfered with the subsequent transactions and resulted in the Transaction id mismatch issue. To resolve this, the commit has been removed and the system has been updated to save only when needed for backwards compatibility.

INC-179722 · Issue 659282

Added handling for legacy HTML formatting in Email Manager Bot

Resolved in Pega Version 8.6.1

When implementing Email Manager Bot features, pyBody fields were removing the additional spaces and causing the NLP model to not extract the correct data. Investigation showed HTML formatting from older version of Microsoft Outlook created nbsp; instead of space. This has been resolved by ensuring nbsp is replaced with spaces before calling JSoup clean.

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