§The Play JSON library Basics
§Overview
The recommended way of dealing with JSON is using Play’s typeclass based JSON library, located at play.api.libs.json
.
For parsing JSON strings, Play uses super-fast Java based JSON library, Jackson.
The benefit of this approach is that both the Java and the Scala side of Play can share the same underlying library (Jackson), while Scala users can enjoy the extra type safety and functional aspects that Play’s JSON support brings to the table.
§JSON is an AST (_Abstract Syntax Tree_)
Take JSON example:
{
"user": {
"name" : "toto",
"age" : 25,
"email" : "[email protected]",
"isAlive" : true,
"friend" : {
"name" : "tata",
"age" : 20,
"email" : "[email protected]"
}
}
}
This can be seen as a tree structure using the 2 following structures:
- JSON object contains a set of
name
/value
pairs:name
is a Stringvalue
can be :- string
- number
- another JSON object
- a JSON array
- true/false
- null
- JSON array is a sequence of values from the previously listed value types.
If you want to have more info about the exact JSON standard, please go to json.org
§Json Data Types
play.api.libs.json
package contains 7 JSON data types reflecting exactly the previous structure.
§JsObject
- This is a set of name/value pairs as described in standard.
{ "name" : "toto", "age" : 45 }
as a JSON example.
§JsNull
This represents null
value in JSON
§JsBoolean
This is a boolean with value true
or false
§JsNumber
- JSON does NOT discriminate
short
,int
,long
,float
,double
,bigdecimal
so it is represented byJsNumber
containing abigdecimal
. - Play JSON API brings more type precision when converting to Scala structures.
§JsArray
- An array is a sequence of any Json value types (not necessarily the same type).
[ "alpha", "beta", true, 123.44, 334]
as a JSON example.
§JsString
A classic String.
§JsUndefined
This is not part of the JSON standard and is only used internally by the API to represent some error nodes in the AST.
§JsValue
All previous types inherit from the generic JSON trait, JsValue
.
§Minimal Import to work with basic JSON API
import play.api.libs.json.Json
This import give access to the most basic JSON features :
Json.parse
: parses a string to JsValueJson.stringify
: stringifies a JsValue using compact printer (NO line feed/indentation)Json.prettyPrint
: stringifies a JsValue using pretty printer (line feed + indentation)Json.toJson[T](t: T)(implicit writes: Writes[T])
: tries to convert a Scala structure to aJsValue
using the resolved implicitWrites[T]
Json.fromJson[T](json: JsValue)(implicit reads: Reads[T])
: tries to convert aJsValue
to a Scala structure using the resolved implicitReads[T]
Json.obj()
: simplified syntax to create aJsObject
Json.arr()
: simplified syntax to create aJsArray
§Parsing a JSON String
You can easily parse any JSON string as a JsValue
:
import play.api.libs.json.Json
val json: JsValue = Json.parse("""
{
"user": {
"name" : "toto",
"age" : 25,
"email" : "[email protected]",
"isAlive" : true,
"friend" : {
"name" : "tata",
"age" : 20,
"email" : "[email protected]"
}
}
}
""")
This sample is used in all next samples.
As explained previously, the parsing is performed by Jackson.
§Constructing JSON directly
§Raw way
The previous sample Json object can be created in other ways too.
Here is the raw approach.
import play.api.libs.json._
JsObject(
"users" -> JsArray(
JsObject(
"name" -> JsString("Bob") ::
"age" -> JsNumber(31) ::
"email" -> JsString("[email protected]") ::
Nil) ::
JsObject(
"name" -> JsString("Kiki") ::
"age" -> JsNumber(25) ::
"email" -> JsNull ::
Nil
) :: Nil
) :: Nil
)
§Preferred way
Play now provides a simplified syntax to build your JSON.
The previous JsObject can be constructed as following:
import play.api.libs.json.Json
Json.obj(
"users" -> Json.arr(
Json.obj(
"name" -> "bob",
"age" -> 31,
"email" -> "[email protected]"
),
Json.obj(
"name" -> "kiki",
"age" -> 25,
"email" -> JsNull
)
)
)
§Serializing JSON
Serializing a JsValue
to its JSON String representation is easy:
import play.api.libs.json.Json
val jsonString: String = Json.stringify(jsValue)
§Accessing Path in a JSON tree
As soon as you have a JsValue
you can navigate into the JSON tree.
The API looks like the one provided to navigate into XML document by Scala using NodeSeq
except you retrieve JsValue
.
§Simple path \
// Here we import everything under json in case we need to manipulate different Json types
scala> import play.api.libs.json._
scala> val name: JsValue = json \ "user" \ "name"
name: play.api.libs.json.JsValue = "toto"
§Recursive path \\
// recursively searches in the sub-tree and returns a Seq[JsValue]
// of all found JsValue
scala> val emails: Seq[String] = json \ "user" \\ "email"
emails: Seq[play.api.libs.json.JsValue] = List("[email protected]", "[email protected]")
§Converting JsValue to Scala Value
While navigating JSON tree, you retrieve JsValue
but you may want to convert the JsValue to a Scala type.
For ex, a JsString
to a String
or a JsNumber
to a Long
(if it can be converted).
§Unsafe conversion with json.as[T]
as[T]
is unsafe because it tries to access the path and to convert to the required type. But if the path is not found or the conversion not possible, it generates a JsResultException
RuntimeException containing detected errors.
§case OK: path found & conversion possible
// returns the value converted to provided type (if possible and if found)
scala> val name: String = (json \ "user" \ "name").as[String]
name: String = toto
§case KO: Path not found
scala> val nameXXX: String = (json \ "user" \ "nameXXX").as[String]
play.api.libs.json.JsResultException: JsResultException(errors:List((,List(ValidationError(validate.error.expected.jsstring,WrappedArray())))))
at play.api.libs.json.JsValue$$anonfun$4.apply(JsValue.scala:65)
at play.api.libs.json.JsValue$$anonfun$4.apply(JsValue.scala:65)
at play.api.libs.json.JsResult$class.fold(JsResult.scala:69)
at play.api.libs.json.JsError.fold(JsResult.scala:10)
at play.api.libs.json.JsValue$class.as(JsValue.scala:63)
at play.api.libs.json.JsUndefined.as(JsValue.scala:96)
Please note the error that doesn’t return
path.not.found
as you may expect. This is a difference from JSON combinators presented later in the doc.
This is due to the fact that(json \ "user" \ "nameXXX")
returnsJsNull
and the implicitReads[String]
here awaits aJsString
which explains the detected error.
§case KO: Conversion not possible
scala> val name: Long = (json \ "user" \ "name").as[Long]
play.api.libs.json.JsResultException: JsResultException(errors:List((,List(ValidationError(validate.error.expected.jsnumber,WrappedArray())))))
at play.api.libs.json.JsValue$$anonfun$4.apply(JsValue.scala:65)
at play.api.libs.json.JsValue$$anonfun$4.apply(JsValue.scala:65)
at play.api.libs.json.JsResult$class.fold(JsResult.scala:69)
at play.api.libs.json.JsError.fold(JsResult.scala:10)
at play.api.libs.json.JsValue$class.as(JsValue.scala:63)
at play.api.libs.json.JsString.as(JsValue.scala:111)
§Safer conversion with Option[T]
as[T]
is immediate but not robust so there is asOpt[T]
which returns None in case of error of any type.
§case OK: path found & conversion possible
scala> val maybeName: Option[String] = (json \ "user" \ "name").asOpt[String]
maybeName: Option[String] = Some(toto)
§case KO: Path not found
scala> val maybeNameXXX: Option[String] = (json \ "user" \ "nameXXX").asOpt[String]
maybeNameXXX: Option[String] = None
§case KO: Conversion not possible
scala> val maybeNameLong: Option[Long] = (json \ "user" \ "name").asOpt[Long]
maybeNameLong: Option[Long] = None
§Safest conversion with validate[T]
asOpt[T]
is better but you lose the kind of error that was detected.
validate[T]
is there to provide the safest and most robust way to convert a JsValue
by returning a JsResult[T]
:
JsResult[T]
accumulates all detected errors (doesn’t stop at 1st error),JsResult[T]
is a monadic structure providingmap
/flatMap
/fold
operations to manipulate, compose it.
§JsResult[T]
in a very nutshell
JsResult[T]
can have 2 values:
JsSuccess[T](value: T, path: JsPath = JsPath())
contains:value: T
when conversion was OK,- FYI, don’t focus on
path
which is mainly an internal field used by the API to represent the current traversedJsPath
.
Please note :
JsPath
will be described later but it is just the same asXMLPath
for JSON.
When you write :json \ "user" \ "name"
It can be written as following :(JsPath \ "user" \ "name")(json)
You create aJsPath
to searchuser
thenname
and apply it to a givenjson
.
JsError(errors: Seq[(JsPath, Seq[ValidationError])])
:errors
is a Sequence of pairs(JsPath, Seq[ValidationError])
- pair
(JsPath, Seq[ValidationError])
locates one or more detected errors at givenJsPath
A few samples of usage:
scala> import play.api.libs.json._
scala> val jsres: JsResult[String] = JsString("toto").validate[String]
jsres: JsSuccess("toto")
scala> val jsres: JsResult[String] = JsNumber(123).validate[String]
jsres: play.api.libs.json.JsResult[String] = JsError(List((,List(ValidationError(validate.error.expected.jsstring,WrappedArray())))))
jsres.map{ s: String => …}
jsres.flatMap{ s: String => JsSuccess(s) }
jsres.fold(
errors: Seq[(JsPath, Seq[ValidationError])] => // manage errors,
s: String => // manage value
)
jsres.map( s: String => // manage value )
.recoverTotal( jserror: JsError => // manage errors and return default value)
§case OK: path found & conversion possible
scala> val safeName = (json \ "user" \ "name").validate[String]
safeName: play.api.libs.json.JsResult[String] = JsSuccess(toto,) // path is not precised because it's root
§case KO: Path not found
scala> val nameXXX = (json \ "user" \ "nameXXX").validate[String]
nameXXX: play.api.libs.json.JsResult[String] =
JsError(List((,List(ValidationError(validate.error.expected.jsstring,WrappedArray())))))
Please note the error that doesn’t return
path.not.found
as you may expect. This is a difference from JSON combinators presented later in the doc.
This is due to the fact that(json \ "user" \ "nameXXX")
returnsJsNull
and the implicitReads[String]
here awaits aJsString
which explains the detected error.
§case KO: Conversion not possible
scala> val name = (json \ "user" \ "name").validate[Long]
name: play.api.libs.json.JsResult[Long] =
JsError(List((,List(ValidationError(validate.error.expected.jsnumber,WrappedArray())))))
§Converting Recursive path \\
\\
recursively searches in the sub-tree and returns a Seq[JsValue]
of found JsValue which is then a collection with classical Scala functions.
scala> val emails: Seq[String] = (json \ "user" \\ "email").map(_.as[String])
emails: Seq[String] = List([email protected], [email protected])
§Converting a Scala value to JsValue
Scala to JSON conversion is performed by function Json.toJson[T](implicit writes: Writes[T])
based on implicit typeclass Writes[T]
which is just able to convert a T
to a JsValue
.
§Create very simple JsValue
val jsonNumber = Json.toJson(4)
jsonNumber: play.api.libs.json.JsValue = 4
This conversion is possible because Play JSON API provides an implicit Writes[Int]
§Create a JSON array from a Seq[T]
import play.api.libs.json.Json
val jsonArray = Json.toJson(Seq(1, 2, 3, 4))
jsonArray: play.api.libs.json.JsValue = [1,2,3,4]
This conversion is possible because Play JSON API provides an implicit Writes[Seq[Int]]
Here we have no problem to convert a Seq[Int]
into a Json array. However it is more complicated if the Seq
contains heterogeneous values:
import play.api.libs.json.Json
val jsonArray = Json.toJson(Seq(1, "Bob", 3, 4))
<console>:11: error: No Json deserializer found for type Seq[Any]. Try to implement an implicit Writes or Format for this type.
val jsonArray = Json.toJson(Seq(1, "Bob", 3, 4))
You get an error because there is no way to convert a Seq[Any]
to Json (Any
could be anything including something not supported by Json right?)
A simple solution is to handle it as a Seq[JsValue]
:
import play.api.libs.json.Json
val jsonArray = Json.toJson(Seq(
toJson(1), toJson("Bob"), toJson(3), toJson(4)
))
This conversion is possible because Play API JSON provides an implicit Writes[Seq[JsValue]]
§Create a JSON object from a Map[String, T]
import play.api.libs.json.Json
val jsonObject = Json.toJson(
Map(
"users" -> Seq(
toJson(
Map(
"name" -> toJson("Bob"),
"age" -> toJson(31),
"email" -> toJson("[email protected]")
)
),
toJson(
Map(
"name" -> toJson("Kiki"),
"age" -> toJson(25),
"email" -> JsNull
)
)
)
)
)
That will generate this Json result:
{
"users":[
{
"name": "Bob",
"age": 31.0,
"email": "[email protected]"
},
{
"name": "Kiki",
"age": 25.0,
"email": null
}
]
}