tornadofx使用listview控件綁定對象

import cn.hutool.core.io.resource.ClassPathResource
import javafx.collections.FXCollections
import tornadofx.*

class LearnApp : App(LearnV::class)
class LearnV : View("learn") {
    val lv = this
    val cityList = FXCollections.observableArrayList<City>()
    val selectedCity = objectProperty<City>()
    override val root = borderpane {
        center = form {
            fieldset {
                field {
                    listview(cityList) {
                        selectedCity.bind(selectionModel.selectedItemProperty())
                    }
                }
            }
        }
        bottom =vbox{
            form {
                fieldset {
                    field("item selected:") {
                        label(selectedCity)
                    }
                }
            }
            toolbar {
                Buttons.values().forEach { ss ->
                    button(ss.toString()) {
                        action {
                            ss.run(lv)
                        }
                        useMaxWidth = true
                    }
                }
            }
        }
        prefWidth = 200.0
        prefHeight = 200.0
    }
}

enum class Buttons {
    Clear {
        override fun run(v: LearnV) {
            v.cityList.clear()
        }
    },
    Add {
        override fun run(v: LearnV) {
            v.cityList.addAll(Cities.cities)
        }

        override fun toString(): String {
            return "load list items"
        }
    };

    abstract fun run(v: LearnV)
}

class City(val id: Int, val name: String) {
    override fun toString() = name
}

object Cities {
    val citiesById = ClassPathResource("cities.csv").file.readText().lines()
        .asSequence()
        .map { it.split(",") }
        .map { City(it[0].toInt(), it[1]) }
        .map { it.id to it }
        .toMap()

    val cities = citiesById.values.toList()
}

文件cities.cvs:

0,Belgrade,717.0,707.0
1,Barcelona,305.0,810.0
2,Berlin,568.0,509.0
3,Brussels,399.0,570.0
4,Bucharest,879.0,698.0
5,Budapest,701.0,649.0
6,Copenhagen,537.0,453.0
7,Dublin,203.0,478.0
8,Hamburg,501.0,495.0
9,Istanbul,932.0,781.0
10,Kiev,900.0,544.0
11,London,318.0,544.0
12,Madrid,182.0,809.0
13,Milan,499.0,713.0
14,Moscow,980.0,304.0
15,Munich,521.0,637.0
16,Paris,343.0,622.0
17,Prague,614.0,587.0
18,Rome,560.0,802.0
19,Saint Petersburg,824.0,305.0
20,Sofia,801.0,760.0
21,Stockholm,631.0,354.0
22,Vienna,616.0,637.0
23,Warsaw,707.0,522.0
24,Reykjavik,95.0,165.0
25,Amsterdam,424.0,536.0