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Hi all,
I am building a solution model on top of a domain model we already have in place for a project.
The domain model contains all the instances we have in the project, but this consumer is only interested in a subset and would like some filters in place to ensure that they are only getting the subset of interest. One of the requirements is that a certain property is according to their project standards and has a minimum length for a property. I see that there is a Range filter to check if a numeric property’s value is within a specified range, but is there any way I can add functionality to get the values length for this property?
Answer
Data model filter on length of attribute value
Best answer by Anders Albert
I have checked now, and unfortunately we do not have such as filter. The closes we have is a prefix-filter, but that does not sound like what you need.
I guess a workaround is to introduce a new integer variable tagLength, store the length of the tag in it, and use a range filter. However, that puts requirements on you when you ingest data to ensure consistency.
Can you give an example here? I do not understand why you need to get a length within a filter?
Let’s call this attribute ‘ObjectName’ (alphanumeric attribute). According to the consumer’s standards, only instances with an ‘ObjectName’ of length 7 characters or greater are valid objects. However our domain model also contains instances with ‘ObjectName’ of length shorter than 7 that are work in progress. The idea was for the solutionmodel that is mapping to the domain model to have a rawFilter that checks that the length of ‘ObjectName’ is 7 or greater to ensure that the instances they are getting match their requirements for a valid object.
I have checked now, and unfortunately we do not have such as filter. The closes we have is a prefix-filter, but that does not sound like what you need.
I guess a workaround is to introduce a new integer variable tagLength, store the length of the tag in it, and use a range filter. However, that puts requirements on you when you ingest data to ensure consistency.
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