I am trying to write some REST API to fetch the data using Scala Slick 3.2.3. Is there a way to calculate a derived column and include it in the returned output?
My model:
case class Task(id: Option[TaskId], title: String, dueOn: String, status: String, createdAt: String, updatedAt: String)
Table class:
class TasksTable(tag: Tag) extends Table[Task](tag, _tableName = "TASKS") {
def id: Rep[TaskId] = column[TaskId]("ID", O.PrimaryKey, O.AutoInc)
def title: Rep[String] = column[String]("TITLE")
def dueOn: Rep[String] = column[String]("DUE_ON")
def status: Rep[String] = column[String]("STATUS")
def createdAt: Rep[String] = column[String]("CREATED_AT")
def updatedAt: Rep[String] = column[String]("UPDATED_AT")
def * = (id.?, title, dueOn, status, createdAt, updatedAt) <> ((Task.apply _).tupled, Task.unapply)
}
DAO:
object TasksDao extends BaseDao {
def findAll: Future[Seq[Task]] = tasksTable.result
}
I want to add a column in the response json called timeline
with values "overdue", "today", "tomorrow", "upcoming", etc. calculated based on the dueOn
value.
I tried searching but could not find any help. Any help with an example or any pointers would be highly appreciated. Thanks!
First I'd start from defining enum model for timeline:
object Timelines extends Enumeration {
type Timeline = Value
val Overdue: Timeline = Value("overdue")
val Today: Timeline = Value("today")
val Tomorrow: Timeline = Value("tomorrow")
val Upcoming: Timeline = Value("upcoming")
}
Then I'd modify dueOne
column type from plain String
to LocalDate
- this will be easier to do on DAO level, so Slick will handle parsing errors for us.
So, to need to define custom type for LocalDate
(see for more details: http://scala-slick.org/doc/3.0.0/userdefined.html#using-custom-scalar-types-in-queries).
// Define mapping between String and LocalDate
private val defaultDateFormat: DateTimeFormatter = DateTimeFormatter.ISO_DATE // replace it with formatter you use for a date
def stringDateColumnType(format: DateTimeFormatter): BaseColumnType[LocalDate] = {
MappedColumnType.base[LocalDate, String](_.format(format), LocalDate.parse(_, format))
}
implicit val defaultStringDateColumnType: BaseColumnType[LocalDate] = stringDateColumnType(defaultDateFormat)
private val defaultDateFormat: DateTimeFormatter = DateTimeFormatter.ISO_DATE // replace it with formatter you use for a date
// Change `dueOn` from String to LocalDate
case class Task(id: Option[TaskId], title: String, dueOn: LocalDate, status: String, createdAt: String, updatedAt: String)
class TasksTable(tag: Tag) extends Table[Task](tag, _tableName = "TASKS") {
def id: Rep[TaskId] = column[TaskId]("ID", O.PrimaryKey, O.AutoInc)
def title: Rep[String] = column[String]("TITLE")
def dueOn: Rep[LocalDate] = column[LocalDate]("DUE_ON") // Then replace column type
def status: Rep[String] = column[String]("STATUS")
def createdAt: Rep[String] = column[String]("CREATED_AT")
def updatedAt: Rep[String] = column[String]("UPDATED_AT")
def * = (id.?, title, dueOn, status, createdAt, updatedAt) <> ((Task.apply _).tupled, Task.unapply)
}
Then define API level model TaskResponse
with new additional timeline
field:
case class TaskResponse(id: Option[TaskId], title: String, dueOn: LocalDate, status: String, createdAt: String, updatedAt: String, timeline: Timeline)
object TaskResponse {
import Timelines._
def fromTask(task: Task): TaskResponse = {
val timeline = dueOnToTimeline(task.dueOn)
TaskResponse(task.id, task.title, task.dueOn, task.status, task.createdAt, task.updatedAt, timeline)
}
def dueOnToTimeline(dueOn: LocalDate): Timeline = {
val today = LocalDate.now()
Period.between(today, dueOn).getDays match {
case days if days < 0 => Overdue
case 0 => Today
case 1 => Tomorrow
case _ => Upcoming
}
}
}
Then you can create TasksService
responsible for business logic of converting:
class TasksService(dao: TasksDao)(implicit ec: ExecutionContext) {
def findAll: Future[Seq[TaskResponse]] = {
dao.findAll.map(_.map(TaskResponse.fromTask))
}
}
Hope this helps!