Our ParaTaskCard has some updated functionality and is now available at AppSource.
The ParaTaskCard Visual for Power BI is designed to help you automate and orchestrate your work processes in to enable Active Business Intelligence. It can be readily included in your existing business process to simplify and accelerate your workflow. The Card uses established Adaptive Cards technology that enables you to tailor task submission to your requirements.
I have previously posted Guidance for the ParaTaskCard PowerBI Custom Visual, which details how to configure the visual. With the new version in the store (3.4) we have some updated, and improved, functionality around the dropdown list for task assignment.
Let's have another look at the card:
![](/image.axd?picture=/TaskCard.PNG)
I won't repeat all of the previous post here, but instead, focus on what has changed. You can download the JSON for this card here. The way that we bind to the 'Assign' dropdown has been improved. This is the relevant fragment of JSON in the card:
{
"type": "Input.ChoiceSet",
"placeholder": "Select Assign",
"id": "Assign",
"label": "Assign",
"choices": [
{
"$data": "${Detail}",
"title": "${title}",
"value": "${value}"
}
]
}
This is normal Adaptive Cards stuff, we identify the data for the drop-down using ${Detail} and specify that in the visual using the Format pane in 'Card Render' as 'Choice Name':
![](data:image/png;base64,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)
We have a standalone table with some names and emails in it:
![](data:image/png;base64,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)
Once that is done we configure the drop-down values on the Fields pane:
![](data:image/png;base64,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)
'Choices Fields' is a grouping value and we just use the name for that, then we have the value fields, which are 'Name' and 'Email' renamed to 'title' and 'value' to match the card.
We have tried to optimise utility with functionality, the most important thing is that when this is configured and you have added a target URL you can send task actions to Power Automate.
View the video at Adaptive Card for Tasks in Power BI for more details on how to create a flow in Power Automate and then send another card into Teams. This is all part of implementing Active Business Intelligence systems, and I will delve further into the concept in a future blog.
Don't be afraid to call if you need help, use the contact page, or DM on Twitter Mike Allen (@MikeAinOz) / Twitter