SBT Kotlin Plugin can not compile generate build dir with code for jetbrains dataframe

[mullerhai]

Hi ,
in gradle ,we can compile import org.jetbrains.kotlinx.dataframe.annotations.DataSchema anntotion data class to generate dataSchema code
like this, libraryDependencies += "org.jetbrains.kotlinx" % "dataframe" % "0.15.0" , but in sbt ,when we compile code can not generate code , how to do @dmitrii Naumenko https://github.com/unkarjedy , @unkarjedy , @mutcianm @vasilmkd @mdinacci @jastice
jastice ,https://github.com/JetBrains/sbt-idea-plugin this project can not make issue !!! why

package models.netflix

import org.jetbrains.kotlinx.dataframe.annotations.DataSchema
import java.time.LocalDate

@DataSchema
data class NetflixItem(
val show_id: String = "",
val type: String = "",
val title: String = "",
val director: String? = null,
val cast: String? = null,
val country: String? = null,
val date_added: LocalDate? = null,
val release_year: Int = 0,
val rating: String? = null,
val duration: String = "",
val listed_in: String = "",
val description: String = "",
)

the dir build /genetate code

@file:Suppress("UNCHECKED_CAST", "USELESS_CAST")
package models.netflix
import org.jetbrains.kotlinx.dataframe.annotations.*
import org.jetbrains.kotlinx.dataframe.ColumnsContainer
import org.jetbrains.kotlinx.dataframe.DataColumn
import org.jetbrains.kotlinx.dataframe.DataFrame
import org.jetbrains.kotlinx.dataframe.DataRow
import org.jetbrains.kotlinx.dataframe.columns.ColumnGroup

val ColumnsContainer<models.netflix.NetflixItem>.cast: DataColumn<String?> @JvmName("NetflixItem_cast") get() = this["cast"] as DataColumn<String?>
val DataRow<models.netflix.NetflixItem>.cast: String? @JvmName("NetflixItem_cast") get() = this["cast"] as String?
val ColumnsContainer<models.netflix.NetflixItem>.country: DataColumn<String?> @JvmName("NetflixItem_country") get() = this["country"] as DataColumn<String?>
val DataRow<models.netflix.NetflixItem>.country: String? @JvmName("NetflixItem_country") get() = this["country"] as String?
val ColumnsContainer<models.netflix.NetflixItem>.date_added: DataColumn<java.time.LocalDate?> @JvmName("NetflixItem_date_added") get() = this["date_added"] as DataColumn<java.time.LocalDate?>
val DataRow<models.netflix.NetflixItem>.date_added: java.time.LocalDate? @JvmName("NetflixItem_date_added") get() = this["date_added"] as java.time.LocalDate?
val ColumnsContainer<models.netflix.NetflixItem>.description: DataColumn @JvmName("NetflixItem_description") get() = this["description"] as DataColumn
val DataRow<models.netflix.NetflixItem>.description: String @JvmName("NetflixItem_description") get() = this["description"] as String
val ColumnsContainer<models.netflix.NetflixItem>.director: DataColumn<String?> @JvmName("NetflixItem_director") get() = this["director"] as DataColumn<String?>
val DataRow<models.netflix.NetflixItem>.director: String? @JvmName("NetflixItem_director") get() = this["director"] as String?
val ColumnsContainer<models.netflix.NetflixItem>.duration: DataColumn @JvmName("NetflixItem_duration") get() = this["duration"] as DataColumn
val DataRow<models.netflix.NetflixItem>.duration: String @JvmName("NetflixItem_duration") get() = this["duration"] as String
val ColumnsContainer<models.netflix.NetflixItem>.listed_in: DataColumn @JvmName("NetflixItem_listed_in") get() = this["listed_in"] as DataColumn
val DataRow<models.netflix.NetflixItem>.listed_in: String @JvmName("NetflixItem_listed_in") get() = this["listed_in"] as String
val ColumnsContainer<models.netflix.NetflixItem>.rating: DataColumn<String?> @JvmName("NetflixItem_rating") get() = this["rating"] as DataColumn<String?>
val DataRow<models.netflix.NetflixItem>.rating: String? @JvmName("NetflixItem_rating") get() = this["rating"] as String?
val ColumnsContainer<models.netflix.NetflixItem>.release_year: DataColumn @JvmName("NetflixItem_release_year") get() = this["release_year"] as DataColumn
val DataRow<models.netflix.NetflixItem>.release_year: Int @JvmName("NetflixItem_release_year") get() = this["release_year"] as Int
val ColumnsContainer<models.netflix.NetflixItem>.show_id: DataColumn @JvmName("NetflixItem_show_id") get() = this["show_id"] as DataColumn
val DataRow<models.netflix.NetflixItem>.show_id: String @JvmName("NetflixItem_show_id") get() = this["show_id"] as String
val ColumnsContainer<models.netflix.NetflixItem>.title: DataColumn @JvmName("NetflixItem_title") get() = this["title"] as DataColumn
val DataRow<models.netflix.NetflixItem>.title: String @JvmName("NetflixItem_title") get() = this["title"] as String
val ColumnsContainer<models.netflix.NetflixItem>.type: DataColumn @JvmName("NetflixItem_type") get() = this["type"] as DataColumn
val DataRow<models.netflix.NetflixItem>.type: String @JvmName("NetflixItem_type") get() = this["type"] as String

and when I write kotlin code to invoke scala package ,tell me sealed types can not be init ???
but It is could run

//import org.polars.scala.polars.Polars
import org.bytedeco.javacpp.DoublePointer
import org.bytedeco.pytorch.DoubleArrayRef
import org.bytedeco.pytorch.global.torch
import torch.Float32Tensor
import torch.Float64Tensor
import torch.nn.functional.*

fun main() {

val tensor1 = Float32Tensor(torch.tensor(21.32f, 23.546f, 45.45f, 23.78f))
println(tensor1)
// val tensor = torch.tensor(1.0f)
//double
val pointer = DoublePointer(21.32, 23.546, 45.45, 23.78)
val arrayRef = DoubleArrayRef(pointer, 4)
val tensor2= Float64Tensor(torch.tensor(arrayRef))
println(tensor2)

}

[mullerhai]

I don't want to mix kotlin with scala, but kotlin has one powerful package lets-plot and dataframe ,we want to use, so have to do like that

[unkarjedy]

Original report: JetBrains/JetBrainsRuntime#493

[unkarjedy]

Please recreate the issue with the reproduction steps at:
https://youtrack.jetbrains.com/newIssue?project=SCL

This repository is about sbt-idea-plugin only

SBT plugin that makes development of IntelliJ Platform plugins in Scala easier

Please consider providing a complete example which allows us to reproduce the issue.
The easier it is to reproduce it, the higher the chances that it will be addressed.

[vasilmkd]

https://github.com/JetBrains/sbt-kotlin-plugin
sbt-kotlin-plugin is a fork of an original sbt plugin for compiling Kotlin sources in an sbt project.

We forked this original plugin and built an expanded one on top of it. The expanded plugin allows for more correct incremental compilation of Kotlin and Java sources within a single sbt project. At the moment, this is a deliberate choice, as there exists no incremental compiler which can handle mixed compilation of Scala and Kotlin sources.

That being said, it is possible to achieve what you want, with some additional project setup.

I would create an sbt subproject in which the KotlinPlugin will be enabled. This sbt subproject will define a dependency on the "org.jetbrains.kotlinx" % "dataframe" % "0.15.0" library. In this module, you will write all of your Kotlin and Java glue code on top of the library. For example, from the code you pasted, this subproject is where I would define data class NetflixItem.

Then, I would create another subproject, which depends on the subproject containing the Kotlin sources and the Kotlin dataframe library dependency. In this subproject, I would write all the Scala code.

If you provide us with an example of your build.sbt configuration and some source files, I can help you set up these subprojects with an example that would fit your project.

Thanks.