Jeff Jeff - 1 year ago 62
JSON Question

Json "Validate" for Play

For the validate method on request.body it matches the attribute name and value type of the json object to those defined in the model definition. Now if I were to add an extra attribute to the json object and try to validate it, it passes as a JsSuccess when it shouldn't.

"Name": "Bob",
"Age": 20,
"Random_Field_Not_Defined_in_Models": "Test"

My Person Class is defined as follows

case class Person(name: String, age: Int)

Answer Source

I'm assuming you've been using the built-in Reads[T] or Format[T] converters that Play gives you via Json.reads[T], e.g.:

import play.api.libs.json._

val standardReads = Json.reads[Person]

While these are super-handy, if you need additional validation, you'll have to define a custom Reads[Person] class; but fortunately we can still leverage the built-in JSON-to-case-class macro to do the basic checking and conversion, and then add an extra layer of custom checks if things seem OK:

val standardReads = Json.reads[Person]

val strictReads = new Reads[Person] {
  val expectedKeys = Set("name", "age")

  def reads(jsv:JsValue):JsResult[Person] = {
    standardReads.reads(jsv).flatMap { person =>
      checkUnwantedKeys(jsv, person)

  private def checkUnwantedKeys(jsv:JsValue, p:Person):JsResult[Person] = {
    val obj = jsv.asInstanceOf[JsObject]
    val keys = obj.keys
    val unwanted = keys.diff(expectedKeys)
    if (unwanted.isEmpty) {
    } else {
      JsError(s"Keys: ${unwanted.mkString(",")} found in the incoming JSON")

Note how we utilize standardReads first, to make sure we're dealing with something that can be converted to a Person. No need to reinvent the wheel here.

We use flatMap to effectively short-circuit the conversion if we get a JsError from standardReads - i.e. we only call checkUnwantedKeys if needed.

checkUnwantedKeys just uses the fact that a JsObject is really just a wrapper around a Map, so we can easily check the names of the keys against a whitelist.

Note that you could also write that flatMap using a for-comprehension, which starts to look a lot cleaner if you need even more checking stages:

for {
    p <- standardReads.reads(jsv)
    r1 <- checkUnexpectedFields(jsv, p)
    r2 <- checkSomeOtherStuff(jsv, r1)
    r3 <- checkEvenMoreStuff(jsv, r2)
} yield r3
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