df-research/dataframe/plugins/expressions-converter/testData/box/df.kt

package org.jetbrains.kotlinx.dataframe.explainer

import org.jetbrains.kotlinx.dataframe.*
import org.jetbrains.kotlinx.dataframe.api.*

@TransformDataFrameExpressions
fun callChain(df: DataFrame<*>) {
    val df1 = df
        .filter { "age"<Int>() > 20 }
        .groupBy("value")
        .sum()
}

interface Person

class Wrapper {
    val df = dataFrameOf("name", "age", "city", "weight")(
        "Alice", 15, "London", 54,
        "Bob", 45, "Dubai", 87,
        "Charlie", 20, "Moscow", null,
        "Charlie", 40, "Milan", null,
        "Bob", 30, "Tokyo", 68,
        "Alice", 20, null, 55,
        "Charlie", 30, "Moscow", 90
    )

    val typed: DataFrame<Person> = df.cast()

    @TransformDataFrameExpressions
    fun ff() {
        val name by column<String>()
        val aggregated = typed.groupBy { name() }.aggregate {
            (if (name().first().startsWith("A")) first() else null) into "agg"
        }["agg"]
    }
}

@TransformDataFrameExpressions
fun aggregateDf() {
    val df = dataFrameOf("firstName", "lastName", "age", "city", "weight", "isHappy")(
        "Alice", "Cooper", 15, "London", 54, true,
        "Bob", "Dylan", 45, "Dubai", 87, true,
        "Charlie", "Daniels", 20, "Moscow", null, false,
        "Charlie", "Chaplin", 40, "Milan", null, true,
        "Bob", "Marley", 30, "Tokyo", 68, true,
        "Alice", "Wolf", 20, null, 55, false,
        "Charlie", "Byrd", 30, "Moscow", 90, true
    ).group("firstName", "lastName").into("name")

    df.groupBy("city").aggregate {
        count() into "total"
        count { "age"<Int>() > 18 } into "adults"
        median("age") into "median age"
        min("age") into "min age"
        maxBy("age")["name"] into "oldest"
    }
}

@TransformDataFrameExpressions
fun move() {
    val df = dataFrameOf("firstName", "lastName", "age", "city", "weight", "isHappy")(
        "Alice", "Cooper", 15, "London", 54, true,
        "Bob", "Dylan", 45, "Dubai", 87, true,
        "Charlie", "Daniels", 20, "Moscow", null, false,
        "Charlie", "Chaplin", 40, "Milan", null, true,
        "Bob", "Marley", 30, "Tokyo", 68, true,
        "Alice", "Wolf", 20, null, 55, false,
        "Charlie", "Byrd", 30, "Moscow", 90, true
    ).group("firstName", "lastName").into("name")

    df.move("age", "weight").into { pathOf("info", it.name()) }
}

fun interface PluginCallback {
    fun doAction(
        source: String,
        name: String,
        df: Any,
        id: String,
        receiverId: String?,
        containingClassFqName: String?,
        containingFunName: String?,
        statementIndex: Int
    )
}

object PluginCallbackProxy : PluginCallback {

    var action: PluginCallback = PluginCallback { _, _, _, _, _, _, _, _  -> Unit }

    override fun doAction(source: String, name: String, df: Any, id: String, receiverId: String?, containingClassFqName: String?, containingFunName: String?, statemenIndex: Int) {
        action.doAction(source, name, df, id, receiverId, containingClassFqName, containingFunName, statemenIndex)
    }
}

//fun callChainTransformed(df: DataFrame<*>) {
//    val df1 = df
//        .filter { "age"<Int>() > 20 }
//        .also { PluginCallbackProxy.doAction(""".filter { "age"<Int>() > 20 }""", "filter", it) }
//}

//fun callChainTransformed(df: DataFrame<*>) {
//    val df1 = df
//        .filter { "age"<Int>() > 20 }
//        .also { PluginCallbackProxy.action(""".filter { "age"<Int>() > 20 }""", it) }
//        .groupBy("something")
//        .sum()
//        .also { PluginCallbackProxy.action(""".groupBy("something").sum()""", it) }
//}

annotation class TransformDataFrameExpressions

fun box(): String {
    val age by columnOf(10, 21, 30, 1)
    val value by columnOf("a", "b", "c", "c")
    val df = dataFrameOf(age, value)
    val expressions = mutableListOf<String>()
    PluginCallbackProxy.action = PluginCallback { source, _, df, id, receiverId, containingClassFqName, containingFunName, statementIndex ->
        println("== Call ==")
        expressions += source
        if (df is AnyFrame) {
            println(source)
            df.print()
            println(id)
            println(receiverId)
            println(containingClassFqName)
            println(containingFunName)
            println("statementIndex = ${statementIndex}")
        } else {
            println(df::class)
        }
        println("== End ==")
    }

    println("CallChain")
    callChain(df)
    println("expressions = ${expressions}")
    expressions.clear()

    println("ff")
    Wrapper().ff()
    println("expressions = ${expressions}")
    expressions.clear()
//    callChainTransformed(df)

    println("aggregateDf")
    aggregateDf()
    println("expressions = ${expressions}")
    expressions.clear()

    println("move")
    move()
    println("expressions = ${expressions}")
    expressions.clear()
    return "OK"
}