Create List - Add Additional Advanced Filters relating to Data Template Columns
Hello,
I think it would be great to add additional columns we can use to filter data sets. I am envisioning this function to include the column names related to whatever the chosen Data Template column names are as options for the advanced filtering. This will be useful for anyone that might have test cases relating to accounts, customers, suppliers, employees, users, etc. For example, if you are running the same process for let's say 20 customers, and for two customers it fails it would be nice to select the specific ones to do include/exclude. This is with the idea we are pairing the SET_LIST function with the LOOP function.
Hello, can I get an update on this?
We are wanting to allow various datasets to be determined by passing parameters through a function into the advanced filter field. It would be nice if we could use a variable in the advanced filter field. I feel like this should be easily development, and it would save us a significant amount of time and probably reduce the number of scripts and complexities we would have to make otherwise.
I would say I can't provide a realistic answer to this because we always find work arounds (whether they are good or not). However, what I could say is if we had this functionality, it would allow us to embed datasets into our testing without just stacking up all the templates we had to manually choose from.
For example, let's say we are testing a Pricing application, and there are already 3 default data template such as Environment, User, and maybe Business Unit. From there, maybe we are driving integration validations, I'd rather not add another 3 datasets to this list, rather we can have a function that says log into x env with y user based on data template that the var is driving for the advanced filter.
With this development, we gain the flexibility to drive even more validations without the need to manually select multiple datasets for each. This not only simplifies the testing process but also provides us with greater control over the testing environment. By automating these tasks, we can focus on more critical aspects of quality assurance, ultimately leading to a more robust and reliable product.
Investing in this functionality is not just about improving our current processes; it's about setting a new standard for efficiency and accuracy in testing. This opportunity would allow end users to test even more processes with better driven value-added validations.
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