circe-validation

Overview

Circe Validation is a library which provides a rules mechanism for decoding circe Json.
This library is highly inspired by jto-validation

Getting Started

Circe Validation is currently available 2.1X
Import Circe Validation library, by adding this dependency in your build.sbt

"io.tabmo" %% "circe-validation-core" % "0.0.6"

and the following resolver

Resolver.bintrayRepo("tabmo", "maven")  

If you require some other functionality, you can pick-and-choose from amongst these modules :

• circe-validation-extra-rules : Rules rules for Integer, String & Date
• circe-validation-extra-rules-joda : Aditional rules for Joda

Example

Using existing rules

  
import io.circe.syntax._  
import io.tabmo.json.rules._  
  
case class Person(firstName: String, lastName: String, age: Int, email: String, dateOfBirth: Date, nickname: Option[String])  
  
val decodePerson: Decoder[Person] = Decoder.instance[Person] { (c: Hcursor) =>  
  for {
    name        <- c.downField("name").read(StringRules.maxLength(32))
    lastName    <- c.downField("lastName").as[String]
    age         <- c.downField("age").read(IntRules.positive())
    email       <- c.downField("email").read(StringRules.email)
    dateOfBirth <- c.downField("dateOfBirth").read(DateRules.date)
    nickname    <- c.downField("nickname").readOpt(StringRules.maxLength(32))
  } yield Person(name, lastName, age, email, dateOfBirth, nickname)
}  
  
val personJson = Json.obj(  
  "name" -> "Kevin".asJson,  
  "lastName" -> "Mg".asJson,  
  "age" -> 24.asJson,  
  "email" -> "[email protected]".asJson,  
  "dateOfBirth" -> "1994-02-16".asJson,
  "nickname" -> Json.Null  
)  
 println(decodePerson.decodeJson(personJson)) //Right(Person(Kevin,Mg,24,[email protected],Wed Feb 16 00:00:00 CET 1994, None))  
  

Compose multiple rules

It's possible to compose multiple rules with |+| method.

import io.circe.syntax._  
import io.tabmo.json.rules._  
  
case class Person(firstName: String, lastName: String, age: Int)  
  
val decodePerson: Decoder[Person] = Decoder.instance[Person] { (c: Hcursor) =>  
  for {  
    name      <- c.downField("name").read(StringRules.maxLength(32) |+| StringRules.isNotEmpty())  
    lastName  <- c.downField("lastName").as[String]  
    age       <- c.downField("age").read(IntRules.positive())  
  } yield Person(name, lastName, age)  
}  
  
val personJson = Json.obj(  
  "name" -> "Kevin".asJson,  
  "lastName" -> "Mg".asJson,  
  "age" ->  24.asJson  
)  
 println(decodePerson.decodeJson(personJson)) //Right(Person(Kevin,Mg,24))  

Apply a transformation

You can use a transformation rule

import io.circe.syntax._  
import io.tabmo.json.rules._  
  
case class Person(firstName: String, lastName: String, age: Int)  
  
val decodePerson: Decoder[Person] = Decoder.instance[Person] { (c: HCursor) =>  
  for {  
    name      <- c.downField("name").read(StringRules.maxLength(32) |+| StringRules.toUpperCase())  
    lastName  <- c.downField("lastName").read(StringRules.toUpperCase)  
    age       <- c.downField("age").read(IntRules.positive())  
  } yield Person(name, lastName, age)  
}  
  
val personJson = Json.obj(  
  "name" -> "Kevin".asJson,  
  "lastName" -> "Mg".asJson,  
  "age" ->  24.asJson  
)  
 println(decodePerson.decodeJson(personJson)) //Right(Person(KEVIN,MG,24))  

Using rules for list/map/set/array

  
import io.circe.syntax._  
import io.tabmo.json.rules._  
  
case class Person(firstName: String, lastName: String, age: Int, carList: Seq[String])  
  
val decodePerson: Decoder[Person] = Decoder.instance[Person] { (c: Hcursor) =>  
  for {  
    name      <- c.downField("name").read(StringRules.maxLength(32))  
    lastName  <- c.downField("lastName").as[String]  
    age       <- c.downField("age").read(IntRules.positive())  
    cars      <- c.downField("cars").readSeq(StringRules.toUpperCase |+| StringRules.maxLength(32))  
  } yield Person(name, lastName, age, cars)  
}  
  
val personJson = Json.obj(  
  "name" -> "Kevin".asJson,  
  "lastName" -> "Mg".asJson,  
  "age" ->  24.asJson,  
  "cars" -> ("Renault", "Mercedes").asJson  
)  
 println(decodePerson.decodeJson(personJson)) //Right(Person(Kevin,Mg,24,List(RENAULT, MERCEDES)))  

Create a custom rule

It's possible to create a custom rule easily with the trait GenericRules

import cats.data.Validated.Valid  
import io.tabmo.json.rules.{GenericRules, Rule}  
  
object HelloRules extends GenericRules {  
    def replaceHiByEmoji: Rule[String, String] = Rule((str: String) => { Valid(str.replaceAll("Hi", ":wave:")) })  
  
    def sayHello(errorCode: String = "error.say.hello.:rage:"): Rule[String, String] =  
      validateWith[String](errorCode)(_.contains("Hello"))  
 }  

Maintainers

List of current maintainers :

• Rlucas12 - Lucas Reynes
• kevin-margueritte - Kévin Margueritte

Copyright & License

Circe Validation is licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License.

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.