问题
I am trying out scala.js, and would like to use simple extracted row data in json format from my Postgres database.
Here is an contrived example of the type of json I would like to parse into some strongly typed scala collection, features to note are that there are n rows, various column types including an array just to cover likely real life scenarios, don't worry about the SQL which creates an inline table to extract the JSON from, I've included it for completeness, its the parsing of the JSON in scala.js that is causing me problems
with inline_t as (
select * from (values('One',1,True,ARRAY[1],1.0),
('Six',6,False,ARRAY[1,2,3,6],2.4494),
('Eight',8,False,ARRAY[1,2,4,8],2.8284)) as v (as_str,as_int,is_odd,factors,sroot))
select json_agg(t) from inline_t t;
[{"as_str":"One","as_int":1,"is_odd":true,"factors":[1],"sroot":1.0},
{"as_str":"Six","as_int":6,"is_odd":false,"factors":[1,2,3,6],"sroot":2.4494},
{"as_str":"Eight","as_int":8,"is_odd":false,"factors":[1,2,4,8],"sroot":2.8284}]
I think this should be fairly easy using something like upickle or prickle as hinted at here: How to parse a json string to a case class in scaja.js and vice versa but I haven't been able to find a code example, and I'm not up to speed enough with Scala or Scala.js to work it out myself. I'd be very grateful if someone could post some working code to show how to achieve the above
EDIT This is the sort of thing I've tried, but I'm not getting very far
val jsparsed = scala.scalajs.js.JSON.parse(jsonStr3)
val jsp1 = jsparsed.selectDynamic("1")
val items = jsp1.map{ (item: js.Dynamic) =>
(item.as_str, item.as_int, item.is_odd, item.factors, item.sroot)
.asInstanceOf[js.Array[(String, Int, Boolean, Array[Int], Double)]].toSeq
}
println(items._1)
回答1:
So you are in a situation where you actually want to manipulate JSON values. Since you're not serializing/deserializing Scala values from end-to-end, serialization libraries like uPickle or Prickle will not be very helpful to you.
You could have a look at a cross-platform JSON manipulation library, such as circe. That would give you the advantage that you wouldn't have to "deal with JavaScript data structures" at all. Instead, the library would parse your JSON and expose it as a Scala data structure. This is probably the best option if you want your code to also cross-compile.
If you're only writing Scala.js code, and you want a more lightweight version (no dependency), I recommend declaring types for your JSON "schema", then use those types to perform the conversion in a safer way:
import scala.scalajs.js
import scala.scalajs.js.annotation._
// type of {"as_str":"Six","as_int":6,"is_odd":false,"factors":[1,2,3,6],"sroot":2.4494}
@ScalaJSDefined
trait Row extends js.Object {
val as_str: String
val as_int: Int
val is_odd: Boolean
val factors: js.Array[Int]
val sroot: Double
}
type Rows = js.Array[Row]
val rows = js.JSON.parse(jsonStr3).asInstanceOf[Rows]
val items = (for (row <- rows) yield {
import row._
(as_str, as_int, is_odd, factors.toArray, sroot)
}).toSeq
来源:https://stackoverflow.com/questions/35363007/parsing-the-json-representation-of-database-rows-in-scala-js