/**
 * Generated by API Builder - https://www.apibuilder.io
 * Service version: 0.1.0-SNAPSHOT
 * User agent: apibuilder app.apibuilder.io/movio/apidoc-generator-attributes/0.1.0-SNAPSHOT/http4s_0_22
 */
package movio.apidoc.generator.attributes.v0.models {

  /**
   * Additional validation options not currently in the standard apidoc spec
   *
   * @param regex Regex string to validate the field with. The field must be a `string` or
   *        `[string]`. If the field is a `[string]` all elements in the array will be
   *        validated
   * @param maximum This applies only to `[string]`, `[integer]` and `[long]`. The current apidoc
   *        spec includes maximum however for an array this the maxium size of the array.
   *        This validates the max length or number of each element of the array. The field
   *        must be a `[string]`, `[integer]` or `[long]`. All elements in the array will be
   *        validated as per standard apidoc specs
   * @param minimum This applies only to `[string]`, `[integer]` and `[long]`. The current apidoc
   *        spec includes minimum however for an array this the minimum size of the array.
   *        This validates the minimum length or number of each element of the array. The
   *        field must be a `[string]`, `[integer]` or `[long]`. All elements in the array
   *        will be validated as per standard apidoc specs
   */

  final case class FieldValidation(
    regex: _root_.scala.Option[String] = None,
    maximum: _root_.scala.Option[Long] = None,
    minimum: _root_.scala.Option[Long] = None
  )

  /**
   * Information needed for generating Kafka wrappers, consumers and producers.
   *
   * @param dataType This is the name of the model that this kafka wrapper encapsulated. Model name
   *        is the same as defined in the models section
   * @param topic [scala] This is a scala snippet that returns a string with the topic name for
   *        kafka. The generator creates a function on the kafka topic object `def
   *        topic(tenant: String) = <definition-goes-here>`
   * @param messageGenerateKey [scala] This is a scala snippet that creates a string used as the message ID.
   *        The message ID is used as the kafka message ID. The generator creates a function
   *        on the case class `def generateKey(tenant: String) = <definition-goes-here>`
   */

  final case class KafkaProps(
    dataType: String,
    topic: String,
    messageGenerateKey: String = "java.util.UUID.randomUUID().toString"
  )

  /**
   * Additional code generation information for case class fields
   *
   * @param `class` The fully qualified Scala/Java class to use during implementation. Note that
   *        this class must have a json formatter defined in the generator code. Currenly
   *        only org.joda.time.LocalDate and org.joda.time.LocalDateTime are implemented. In
   *        the future this maybe a defined list of supported classes
   * @param default Used as the default in a case class.
   * @param example Used in documentation and as a default implementation when creating example
   *        implementation's of case classes
   */

  final case class ScalaFieldProps(
    `class`: _root_.scala.Option[String] = None,
    default: _root_.scala.Option[String] = None,
    example: _root_.scala.Option[String] = None
  )

  /**
   * Additional code generation information for case classes
   *
   * @param `extends` A list of Scala/Java classes that this model extends
   */

  final case class ScalaModelProps(
    `extends`: _root_.scala.Option[Seq[String]] = None
  )

}

package movio.apidoc.generator.attributes.v0.models {

  package object json {
    import io.circe.Decoder._
    import io.circe.Encoder._
    import scala.language.implicitConversions // See below - Make Scala 2.11 Either monadic
    import scala.util.Try
    import io.circe.{Json, JsonObject, Encoder, Decoder, DecodingFailure}
    import io.circe.syntax._
    import movio.apidoc.generator.attributes.v0.models.json._

    // Make Scala 2.11 Either monadic
    private[v0] implicit def eitherOps[A,B](e: Either[A,B]) = cats.implicits.catsSyntaxEither(e)

    private[v0] implicit val decodeUUID: Decoder[_root_.java.util.UUID] =
      Decoder.decodeString.emapTry(str => Try(_root_.java.util.UUID.fromString(str)))

    private[v0] implicit val encodeUUID: Encoder[_root_.java.util.UUID] =
      Encoder.encodeString.contramap[_root_.java.util.UUID](uuid => uuid.toString)

    private[v0] implicit val decodeInstant: Decoder[_root_.java.time.Instant] =
      Decoder.decodeString.emapTry(str => Try(_root_.java.time.OffsetDateTime.parse(str).toInstant))

    private[v0] implicit val encodeInstant: Encoder[_root_.java.time.Instant] =
      Encoder.encodeString.contramap[_root_.java.time.Instant](_.toString)

    private[v0] implicit val decodeLocalDate: Decoder[_root_.java.time.LocalDate] =
      Decoder.decodeString.emapTry(str => Try(_root_.java.time.LocalDate.parse(str)))

    private[v0] implicit val encodeLocalDate: Encoder[_root_.java.time.LocalDate] =
      Encoder.encodeString.contramap[_root_.java.time.LocalDate](_.toString)

    implicit def decodeApidocGeneratorAttributesFieldValidation: Decoder[FieldValidation] = Decoder.instance { c =>
     for {
        regex <- c.downField("regex").as[Option[String]]
        maximum <- c.downField("maximum").as[Option[Long]]
        minimum <- c.downField("minimum").as[Option[Long]]
      } yield {
        FieldValidation(
          regex = regex,
          maximum = maximum,
          minimum = minimum
        )
      }
    }

    implicit def encodeApidocGeneratorAttributesFieldValidation: Encoder[FieldValidation] = Encoder.instance { t =>
      Json.fromFields(Seq(
        t.regex.map(t => "regex" -> t.asJson),
        t.maximum.map(t => "maximum" -> t.asJson),
        t.minimum.map(t => "minimum" -> t.asJson)
      ).flatten)
    }

    implicit def decodeApidocGeneratorAttributesKafkaProps: Decoder[KafkaProps] = Decoder.instance { c =>
     for {
        dataType <- c.downField("data_type").as[String]
        topic <- c.downField("topic").as[String]
        messageGenerateKey <- c.downField("message_generate_key").as[String]
      } yield {
        KafkaProps(
          dataType = dataType,
          topic = topic,
          messageGenerateKey = messageGenerateKey
        )
      }
    }

    implicit def encodeApidocGeneratorAttributesKafkaProps: Encoder[KafkaProps] = Encoder.instance { t =>
      Json.fromFields(Seq(
        Some("data_type" -> t.dataType.asJson),
        Some("topic" -> t.topic.asJson),
        Some("message_generate_key" -> t.messageGenerateKey.asJson)
      ).flatten)
    }

    implicit def decodeApidocGeneratorAttributesScalaFieldProps: Decoder[ScalaFieldProps] = Decoder.instance { c =>
     for {
        __class__ <- c.downField("class").as[Option[String]]
        default <- c.downField("default").as[Option[String]]
        example <- c.downField("example").as[Option[String]]
      } yield {
        ScalaFieldProps(
          `class` = __class__,
          default = default,
          example = example
        )
      }
    }

    implicit def encodeApidocGeneratorAttributesScalaFieldProps: Encoder[ScalaFieldProps] = Encoder.instance { t =>
      Json.fromFields(Seq(
        t.`class`.map(t => "class" -> t.asJson),
        t.default.map(t => "default" -> t.asJson),
        t.example.map(t => "example" -> t.asJson)
      ).flatten)
    }

    implicit def decodeApidocGeneratorAttributesScalaModelProps: Decoder[ScalaModelProps] = Decoder.instance { c =>
     for {
        __extends__ <- c.downField("extends").as[Option[Seq[String]]]
      } yield {
        ScalaModelProps(
          `extends` = __extends__
        )
      }
    }

    implicit def encodeApidocGeneratorAttributesScalaModelProps: Encoder[ScalaModelProps] = Encoder.instance { t =>
      Json.fromFields(Seq(
        t.`extends`.map(t => "extends" -> t.asJson)
      ).flatten)
    }
  }
}