Date Validation using Expression Library


I’m developing a pipeline that uses date input parameters. I was looking to use an expression library to validate the date format by matching a regex pattern.

For example, /^([1-9]|0[1-9]|1[012])/(0[1-9]|[12][0-9]|3[01])/(19\d\d|20\d\d)$/.test(“05/09/2018”) should return ‘true’
Below are the pipeline properties where I am importing the expression library:

Here are the contents of the .expr file:
sd_valid: x => (/^([1-9]|0[1-9]|1[012])/(0[1-9]|[12][0-9]|3[01])/(19\d\d|20\d\d)$/.test(x))

Here is the mapper I am trying to you to call the validation:

I am receiving the following error when trying to validate the pipeline in this case:

“Failure: RegExp type does not have a method named: test. Perhaps you meant: No Regex Methods, Reason: ‘test’ was not found while evaluating the sub-expression ‘/^([1-9]|0[1-9]|1[012])\/(0[1-9]|[12][0-9]|3[01])\/(19\d\d|20\d\d)$/.test(x)’, Resolution: You can check for the existence of a field with the ‘in’ operator (e.g. ‘abc’ in $obj)”

Has anyone else seen this problem and found a solution? Or know a better way to accomplish what I’m trying to do here?

Thank you in advance

Unfortunately, regular expression objects do not have a test() method at this time. You’ll need to use one of the methods on strings, like match().

Also, if you were not aware, there is a Data Validator snap that can check strings against patterns.

Is there a way to do validation dynamically. I mean I can provide list of fields and list of validation needs to be performed . Is it possible to perform validation based on the input. rater than hardcoding the condition for each and every filed. Eg - I have two files. One file with 10 fields and another 20 fields and I need to validate the not null and length constraints against each of the filed in two file. I want to achieve this in a pipeline . In future if new column added to the same file, I shouldn’t make changes to pipelines , rather than just add the column and condition in properties file or store the info in a table, the pipeline should dynamically validate the new column. Is it possible to do this in snaplogic ?