I have some duplication of code due to having to do some grouping on 3 different fields in a case class and then populate a new case class with those. Since they share a common schema it should be possible for me to do a function that can take the input of the 3 different fields and populate accordingly. However, I am not exactly sure how to do this.
Schemas:
case class Transaction(
senderBank: Bank,
receiverBank: Bank,
intermediaryBank: Bank)
case class Bank(
name: String,
country: Option[String],
countryCode: Option[String])
case class GroupedBank(
name: String,
country: Option[String],
countryCode: Option[String],
bankType: String)
Current function I tried to do:
def groupedBank(transactionSeq: Seq[Transaction], bankName: Bank, bankTypeString: String): Iterable[Seq[GroupedBank]] = {
transactionSeq.groupBy(_ => bankName.name).map {
case (key, transactionSeq) =>
val bankGroupedSeq = transactionSeq.map(_ => {
GroupedBank(
name = bankName.name,
country = bankName.country,
countryCode = bankName.countryCode,
bankType = bankTypeString)
})
bankGroupedSeq
}
}
I need to do the grouping for SenderBank, receiverBank, and intermediaryBank. However, I am not sure how to refer to them correctly in the function parameter bankName. So for SenderBank I would want to do something like Transaction.senderBank, which would point to the correct fields for name, country and so on for senderBank. For receiverBank it should be similar, so Transactions.receiverBank, which then refers to the correct fields for receiverBank and so on. And again for intermediaryBank the same logic. My question is therefore how can I accomplish something like this or is there another way that would be more appropriate?
transactionSeq.groupBy(_.senderBank.name),transactionSeq.groupBy(_.receiverBank.name),transactionSeq.groupBy(_.intermediaryBank.name)?