test and bugfix for convertTo etc. not recognizing super properties correctly

Author: Jolanrensen

core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/codeGen/MarkersExtractor.kt

@@ -8,9 +8,9 @@ import org.jetbrains.kotlinx.dataframe.impl.schema.getPropertiesOrder
 import org.jetbrains.kotlinx.dataframe.schema.ColumnSchema
 import kotlin.reflect.KClass
 import kotlin.reflect.KType
-import kotlin.reflect.full.declaredMemberProperties
 import kotlin.reflect.full.findAnnotation
 import kotlin.reflect.full.hasAnnotation
+import kotlin.reflect.full.memberProperties
 import kotlin.reflect.full.superclasses
 import kotlin.reflect.full.withNullability
 import kotlin.reflect.jvm.jvmErasure
@@ -54,7 +54,7 @@ internal object MarkersExtractor {
 
     private fun getFields(markerClass: KClass<*>, nullableProperties: Boolean): List<GeneratedField> {
         val order = getPropertiesOrder(markerClass)
-        return markerClass.declaredMemberProperties.sortedBy { order[it.name] ?: Int.MAX_VALUE }.mapIndexed { _, it ->
+        return markerClass.memberProperties.sortedBy { order[it.name] ?: Int.MAX_VALUE }.mapIndexed { _, it ->
             val fieldName = ValidFieldName.of(it.name)
             val columnName = it.findAnnotation<ColumnName>()?.name ?: fieldName.unquoted
             val type = it.returnType

core/src/test/kotlin/org/jetbrains/kotlinx/dataframe/api/convertTo.kt

@@ -4,6 +4,7 @@ import io.kotest.assertions.throwables.shouldThrow
 import io.kotest.matchers.shouldBe
 import org.jetbrains.kotlinx.dataframe.AnyFrame
 import org.jetbrains.kotlinx.dataframe.DataFrame
+import org.jetbrains.kotlinx.dataframe.alsoDebug
 import org.jetbrains.kotlinx.dataframe.annotations.DataSchema
 import org.jetbrains.kotlinx.dataframe.exceptions.TypeConverterNotFoundException
 import org.junit.Test
@@ -239,9 +240,21 @@ class ConvertToTests {
             .alsoDebug("df5 after second convert:")
     }
 
-    private fun <T : DataFrame<*>> T.alsoDebug(println: String? = null): T = apply {
-        println?.let { println(it) }
-        print(borders = true, title = true, columnTypes = true, valueLimit = -1)
-        schema().print()
+    interface KeyValue<T> {
+        val key: String
+        val value: T
+    }
+
+    @DataSchema
+    interface MySchema : KeyValue<Int>
+
+    @Test
+    fun `Convert generic interface to itself`() {
+        val df = dataFrameOf("key", "value")(
+            "a", 1,
+            "b", 2,
+        ).alsoDebug()
+        val converted = df.convertTo<MySchema>().alsoDebug()
+        converted shouldBe df
     }
 }