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package avrohugger
package format
package specific
import avrohugger.format.abstractions.Importer
import avrohugger.matchers.TypeMatcher
import avrohugger.types._
import avrohugger.stores.SchemaStore
import org.apache.avro.Schema.Type.RECORD
import org.apache.avro.{Protocol, Schema}
import treehugger.forest._
import definitions._
import treehuggerDSL._
import scala.jdk.CollectionConverters._
object SpecificImporter extends Importer {
def getImports(
schemaOrProtocol: Either[Schema, Protocol],
currentNamespace: Option[String],
schemaStore: SchemaStore,
typeMatcher: TypeMatcher): List[Import] = {
val switchAnnotSymbol = RootClass.newClass("scala.annotation.switch")
val switchImport = IMPORT(switchAnnotSymbol)
val topLevelSchemas =
getTopLevelSchemas(schemaOrProtocol, schemaStore, typeMatcher)
val recordSchemas = getRecordSchemas(topLevelSchemas)
val enumSchemas = getEnumSchemas(topLevelSchemas)
val userDefinedDeps = getUserDefinedImports(recordSchemas ++ enumSchemas, currentNamespace, typeMatcher)
val shapelessDeps = getShapelessImports(recordSchemas, typeMatcher)
val libraryDeps = shapelessDeps
schemaOrProtocol match {
case Left(schema) => {
if (schema.getType == RECORD) switchImport :: libraryDeps ::: userDefinedDeps
else libraryDeps ++ userDefinedDeps
}
case Right(protocol) => {
val types = protocol.getTypes().asScala.toList
val messages = protocol.getMessages.asScala.toMap
if (messages.isEmpty) switchImport :: libraryDeps ::: userDefinedDeps // for ADT
else List.empty // for RPC
}
}
}
/**
* Shapeless representations of Coproduct are by default only active when `union`
* is defined with more than two types or three types where one of them is nullable.
* Otherwise the default values require no special imports
* since they are codegen in terms of [[Option]] and [[Either]]
*/
private[this] def getShapelessImports(
topLevelRecordSchemas: List[Schema],
typeMatcher: TypeMatcher): List[Import] = {
def determineShapelessCoproductImports(
field: Schema.Field,
schema: Schema,
typeMatcher: TypeMatcher,
potentialRecursives: List[Schema]): List[String] = schema.getType match {
case Schema.Type.UNION =>
coproductImportsForUnionType(field, schema, typeMatcher) ++
schema.getTypes().asScala.toList.flatMap(s =>
determineShapelessCoproductImports(field, s, typeMatcher, potentialRecursives))
case Schema.Type.ARRAY =>
determineShapelessCoproductImports(field, schema.getElementType(), typeMatcher, potentialRecursives)
case Schema.Type.MAP =>
determineShapelessCoproductImports(field, schema.getValueType(), typeMatcher, potentialRecursives)
case Schema.Type.RECORD =>
schema.getFields().asScala.toList.flatMap(f => {
if (potentialRecursives.map(_.getFullName).contains(schema.getFullName)) List.empty
else determineShapelessCoproductImports(field, f.schema(), typeMatcher, potentialRecursives:+schema)
})
case _ =>
List.empty[String]
}
def determineShapelessTagImport(
schema: Schema,
typeMatcher: TypeMatcher,
potentialRecursives: List[Schema]): List[String] = schema.getType match {
case Schema.Type.UNION => schema.getTypes().asScala.toList.flatMap(s =>
determineShapelessTagImport(s, typeMatcher, potentialRecursives))
case Schema.Type.ARRAY => determineShapelessTagImport(schema.getElementType(), typeMatcher, potentialRecursives)
case Schema.Type.MAP => determineShapelessTagImport(schema.getValueType(), typeMatcher, potentialRecursives)
case Schema.Type.RECORD => schema.getFields().asScala.toList.flatMap(f => {
if (potentialRecursives.map(_.getFullName).contains(schema.getFullName)) List.empty
else determineShapelessTagImport(f.schema, typeMatcher, potentialRecursives:+schema)
})
case Schema.Type.BYTES => importsForBigDecimalTagged(schema)
case _ => List.empty[String]
}
def importsForBigDecimalTagged(schemas: Schema*): List[String] =
schemas.find { schema =>
schema.getType == Schema.Type.BYTES && LogicalType.foldLogicalTypes(
schema = schema,
default = false) {
case Decimal(_, _) => typeMatcher.avroScalaTypes.decimal match {
case ScalaBigDecimal(_) => false
case ScalaBigDecimalWithPrecision(_) => true
}
}
}.map(_ => List("tag.@@")).getOrElse(Nil)
def coproductImportsForUnionType(
field: Schema.Field,
unionSchema: Schema,
typeMatcher: TypeMatcher): List[String] = {
val thresholdNonNullTypes = typeMatcher.avroScalaTypes.union match {
case OptionalShapelessCoproduct => 0 // if a union contains at least one type, then it will need :+:
case OptionShapelessCoproduct => 1
case OptionEitherShapelessCoproduct => 2 // unions of one nullable type become Option, two become Either
}
val unionTypes = unionSchema.getTypes().asScala.toList
val unionNonNullTypes = unionTypes.filterNot(_.getType == Schema.Type.NULL)
val unionContainsNull: Boolean = unionNonNullTypes.length < unionTypes.length
val isShapelessCoproduct: Boolean = unionNonNullTypes.length > thresholdNonNullTypes
val hasDefaultValue: Boolean = !unionContainsNull
val unionImports = if (isShapelessCoproduct && hasDefaultValue)
List(":+:", "CNil", "Coproduct")
else if (isShapelessCoproduct)
List(":+:", "CNil")
else
List.empty[String]
unionImports
}
val shapelessImport: List[String] => List[Import] = {
case Nil => Nil
case head :: Nil => List(IMPORT(RootClass.newClass(s"shapeless.$head")))
case list => List(IMPORT(RootClass.newClass(s"shapeless.{${list.mkString(", ")}}")))
}
val shapelessCopSymbols: List[String] =
for {
topLevelRecordSchema <- topLevelRecordSchemas
field <- topLevelRecordSchema.getFields().asScala
symbol <- determineShapelessCoproductImports(field, field.schema(), typeMatcher, List.empty[Schema])
} yield symbol
val shapelessTag: List[String] =
for {
topLevelRecordSchema <- topLevelRecordSchemas
field <- topLevelRecordSchema.getFields().asScala
symbol <- determineShapelessTagImport(field.schema(), typeMatcher, List.empty[Schema])
} yield symbol
shapelessImport(shapelessCopSymbols.distinct) ++
shapelessImport(shapelessTag.distinct)
}
}