INC-127591 · Issue 564818
isAuthenticated checks trimmed for Performance Improvement
Resolved in Pega Version 8.2.7
In order to improve performance, a duplicate check of pxIsRepositoryAuthenticated has been removed from the Function Rule.
INC-127859 · Issue 564619
Email image retrieval switched to Lazy Load
Resolved in Pega Version 8.2.7
In email, multiple images being loaded at once resulted in a performance impact. To resolve this, the fetching of inline images has been modified to use Lazy Load optimization which will retrieve file content from S3 storage on a need basis.
INC-127891 · Issue 564726
Added check for redirects when getting images from S3
Resolved in Pega Version 8.2.7
When retrieving images from S3 storage, a 303 redirect status response code was shown. Investigation showed that using a public URL caused the redirects, and this has been resolved by adding an AG hash while fetching images via an activity.
SR-D87412 · Issue 563227
Support added for multi-language email parsing
Resolved in Pega Version 8.2.7
Parsing an email body for different languages was causing performance issues. To resolve this, an enhancement has been added to support email IVA in seven languages, to use this, override the Work-Channel-Triage.pyParseReplyMail activity and add the required languages in the given parameter.
SR-D90459 · Issue 552661
Improved handling for attachments not using UTF-8 encoding
Resolved in Pega Version 8.2.7
When an email was received that used a charset encoding other than UTF-8, special characters in the HTML body were not displayed and instead the replacement character was shown. To resolve this, the system will read the encoding from the email rather than use the meta tag, and will add the attachment's HTML encoding information in Data-WorkAttach-File so that the same can be used to process and display the original HTML properly.
SR-D92688 · Issue 551340
Optional feature to improve pxETReport performance
Resolved in Pega Version 8.2.7
Poor performance was seen when using pxETReport. This was caused by the system loading the recent cases widget by looking up all the ET cases within last 30 days, opening each ET case to check if it is from the same pyFrom email address, and then if yes, opening its related service case. On a complex system, this was potentially a slow process. To improve performance, the "Related cases" feature can now be disabled through an overridable 'when' rule.
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.
INC-170135 · Issue 652525
Rich HTML handling added for outbound email
Resolved in Pega Version 8.7
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.