參考:
預(yù)備知識
- Kotlin 反射搓蚪;
- Kotlin 注解;
- Koltin 泛型煌茴;
說明
Json 序列化是將一個對象埋合,轉(zhuǎn)換成Json形式的字符串卧须;反序列化是將json格式字符串轉(zhuǎn)成相應(yīng)的對象;
1. 分析
如下:代碼
// 數(shù)據(jù)類
data class Person(val name: String, val age: Int, val likes: List<String>)
// 測試代碼
val p = Person("better", 30, listOf("Java", "Kotlin", "Python"))
println(serialize(p))
輸出為:
{"age": 30, "likes": ["Java", "Kotlin", "Python"], "name": "better"}
將類的每個屬性作為 json 的 key,value 為 key 對象的值衷掷,如果value 為 List 形式,即對應(yīng)json的數(shù)組形式[]
;
我們可通過反射獲取類的所有屬性,然后遍歷汁针,分別將每個屬性,映射成json對應(yīng)的 key 砚尽、value施无;
2. kotlin 代碼實(shí)現(xiàn)
會有大量字符串拼接,所以為StringBuilder
添加擴(kuò)展函數(shù)來整體拼接
整體步驟:
- 獲取類的所有
KProperty
; - 遍歷
KProperty
集合必孤,獲取每個KProperty
猾骡; - 每個
KProperty
都有他的名字與值,對應(yīng)json的 key敷搪,value兴想,value 處理時,需進(jìn)行類型判斷赡勘;
// 對外全局方法
fun serialize(obj: Any) = buildString { serializeObj(obj) }
private inline fun StringBuilder.serializeObj(o: Any) {
// ==== 1. 獲取類的所有`KProperty`
o.javaClass.kotlin.memberProperties.joinToStringBuilder(this, separator = ",", prefix = "{", postfix = "}") {
// ==== 2.遍歷 `KProperty` 集合嫂便,獲取每個 `KProperty`,進(jìn)行類型判斷闸与,并處理毙替;
serializeProperty(it, o)
}
}
private inline fun StringBuilder.serializeProperty(property: KProperty1<Any, *>, receiver: Any) {
// ====3. 每個`KProperty`都有他的名字與值岸售,對應(yīng)json的 key,value厂画,value 處理時凸丸,需進(jìn)行類型判斷;
val key = property.name
// 處理key
serializeString(key)
append(": ")
// 處理value
val value = property.get(receiver)
serializePropertyValue(value)
}
// 處理屬性值
private fun StringBuilder.serializePropertyValue(value: Any?) {
when (value) {
null -> append("null")
is String -> serializeString(value)
is Boolean, is Number -> append(value.toString())
is List<*> -> serializeList(value)
else -> serializeObj(value)
}
}
/**
* 處理list
*/
private fun StringBuilder.serializeList(data: List<Any?>) {
data.joinToStringBuilder(this, separator = ", " ,prefix = "[", postfix = "]") {
serializePropertyValue(it)
}
}
// 屬性名稱
private inline fun StringBuilder.serializeString(name: String) {
// like "better"
append('\"').append("$name").append('\"')
}
// 這里對joinToString 進(jìn)行了改寫袱院,使其支持 ((T) -> Unit)
fun <T> Iterable<T>.joinToStringBuilder(sb: StringBuilder, separator: CharSequence = ", ",
prefix: CharSequence = "",
postfix: CharSequence = "",
limit: Int = -1,
truncated: CharSequence = "...",
transform: ((T) -> Unit)? = null): StringBuilder {
return joinTo(sb, separator, prefix, postfix, limit, truncated) {
if (transform == null) { // 包裝器模式
return@joinTo it.toString()
}
transform.invoke(it)
""
}
}
3. 測試1 :
// 數(shù)據(jù)類
data class Person(val name: String, val age: Int, val likes: List<String>)
// 測試代碼
val p = Person("better", 30, listOf("Java", "Kotlin", "Python"))
println(serialize(p)) // 沒問題
4. 測試2 屎慢,新增類
// 縣
data class County(val name: String, val peopleCount: Int)
// 市
data class City(val name: String, val counties: List<County>)
// 省
data class Province(val name: String, val size: Int, val cities: List<City>?)
val c1 = County("湘潭縣", 20_000)
val c2 = County("株洲縣", 30_000)
val c4 = County("攸縣", 40_000)
val ci1 = City("湘潭市", listOf(c1))
val ci2 = City("株洲市", listOf(c2, c4))
val p1 = Province("湖南省", 780, listOf(ci1, ci2))
println(serialize(p1))
格式化為:
{
"cities": [{
"counties": [{
"name": "湘潭縣",
"peopleCount": 20000
}],
"name": "湘潭市"
}, {
"counties": [{
"name": "株洲縣",
"peopleCount": 30000
}, {
"name": "攸縣",
"peopleCount": 40000
}],
"name": "株洲市"
}],
"name": "湖南省",
"size": 780
}