Currently, creating unit tests in Pipeline Builder requires significant manual effort. We have to input test data row by row, which is time-consuming when building robust test suites. It would be tremendously helpful if we could simply import samples from existing datasets in the ontology to use as test data. Additionally, implementing AI-powered unit test suggestions through AIP would dramatically decrease time to delivery by automatically generating appropriate test cases based on the existing transformations being tested
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Hey @isaiahxcruz have you tried copying and pasting multiple rows at a time ? You shouldn’t have to do it manually one by one if you already have the data you want in a table that you can copy and paste over
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